Benchmarks by Michael Larabel for a future article.
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: HMAC-SHA512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40M 80M 120M 160M 200M SE +/- 100093.84, N = 3 SE +/- 60128.57, N = 3 SE +/- 5044.25, N = 3 SE +/- 219341.69, N = 13 SE +/- 162136.09, N = 3 SE +/- 28844.41, N = 3 SE +/- 22835.16, N = 3 SE +/- 56772.45, N = 3 SE +/- 82938.40, N = 3 SE +/- 37501.11, N = 3 SE +/- 146397.10, N = 3 SE +/- 53928.97, N = 3 SE +/- 43471.00, N = 15 SE +/- 114770.79, N = 3 SE +/- 29546.57, N = 3 SE +/- 52447.86, N = 3 SE +/- 190620.92, N = 3 SE +/- 119204.77, N = 3 22310333 38444667 21375667 30869385 60089333 89441000 86551333 83599333 118119333 112961000 159679667 123520000 2046933 142913000 110356000 201616333 186808000 142026333 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.3 Algorithm: RSA4096 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 4.69, N = 3 SE +/- 29.87, N = 3 SE +/- 20.70, N = 3 SE +/- 32.06, N = 9 SE +/- 33.98, N = 3 SE +/- 7.93, N = 3 SE +/- 5.17, N = 3 SE +/- 9.46, N = 3 SE +/- 7.40, N = 3 SE +/- 11.82, N = 3 SE +/- 73.63, N = 3 SE +/- 9.72, N = 3 SE +/- 4.93, N = 3 SE +/- 9.30, N = 3 SE +/- 2.25, N = 3 SE +/- 35.97, N = 3 SE +/- 32.48, N = 3 SE +/- 15.05, N = 3 1536.9 3614.4 2348.0 2563.2 5128.3 5598.4 5476.9 5358.7 7149.0 6981.0 11618.3 7899.3 5682.1 9237.8 6953.1 15041.1 13765.5 10314.0 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.09861, N = 3 SE +/- 0.00399, N = 3 SE +/- 0.00081, N = 3 SE +/- 0.06864, N = 3 SE +/- 0.00610, N = 3 SE +/- 0.01671, N = 3 SE +/- 0.02696, N = 3 SE +/- 0.02701, N = 3 SE +/- 0.05239, N = 3 SE +/- 0.01749, N = 3 SE +/- 0.57683, N = 15 SE +/- 0.03728, N = 3 SE +/- 0.00624, N = 3 SE +/- 0.06646, N = 3 SE +/- 0.09581, N = 3 SE +/- 0.18088, N = 3 SE +/- 0.61414, N = 12 SE +/- 0.37451, N = 3 19.94250 8.52149 5.22278 6.92868 9.61257 31.85770 30.05920 29.32600 38.34500 36.78990 21.36830 40.59300 15.17110 38.02830 18.04930 47.38390 24.46320 37.54010 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 1.42, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 1.15, N = 15 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.30, N = 3 SE +/- 0.08, N = 3 SE +/- 0.92, N = 12 SE +/- 0.26, N = 3 50.15 117.35 191.47 144.35 104.03 31.39 33.27 34.10 26.08 27.18 47.22 24.63 65.91 26.29 55.40 21.10 41.13 26.64 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 0.56, N = 3 SE +/- 0.46, N = 3 SE +/- 1.31, N = 3 SE +/- 0.72, N = 3 SE +/- 1.03, N = 3 SE +/- 2.13, N = 3 SE +/- 1.29, N = 3 SE +/- 0.56, N = 3 SE +/- 1.96, N = 3 SE +/- 1.04, N = 3 SE +/- 2.08, N = 3 SE +/- 1.23, N = 3 SE +/- 0.39, N = 3 SE +/- 0.20, N = 3 SE +/- 0.31, N = 3 SE +/- 1.61, N = 3 SE +/- 0.65, N = 3 SE +/- 0.72, N = 3 92.60 236.23 124.78 141.81 335.14 312.53 286.83 280.89 399.67 412.93 619.64 427.16 312.60 524.64 348.13 839.75 770.61 599.96 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Pennant Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.17, N = 3 SE +/- 4.95, N = 12 SE +/- 23.52, N = 9 SE +/- 27.47, N = 6 SE +/- 2.92, N = 12 SE +/- 0.13, N = 3 SE +/- 0.31, N = 3 SE +/- 0.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 86.65 192.32 244.23 239.97 142.72 54.89 56.81 57.65 47.66 42.00 36.91 46.89 53.49 37.84 49.54 34.98 27.10 31.04 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 400 800 1200 1600 2000 SE +/- 2.01, N = 3 SE +/- 0.24, N = 3 SE +/- 3.32, N = 3 SE +/- 4.00, N = 3 SE +/- 4.71, N = 3 SE +/- 0.06, N = 3 SE +/- 1.44, N = 3 SE +/- 2.55, N = 3 SE +/- 0.89, N = 3 SE +/- 0.71, N = 3 SE +/- 1.50, N = 3 SE +/- 0.08, N = 3 SE +/- 1.68, N = 3 SE +/- 0.79, N = 3 SE +/- 0.23, N = 3 SE +/- 4.42, N = 3 SE +/- 1.10, N = 3 SE +/- 1.01, N = 3 237.88 530.45 332.48 351.34 793.93 776.96 683.57 670.20 980.79 963.97 1406.85 1058.56 692.24 1256.23 803.23 2051.84 1782.37 1377.42 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better NAMD 3.0b6 Input: ATPase with 327,506 Atoms Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.6824 1.3648 2.0472 2.7296 3.412 SE +/- 0.00093, N = 3 SE +/- 0.00580, N = 3 SE +/- 0.00595, N = 12 SE +/- 0.00116, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.00064, N = 3 SE +/- 0.00120, N = 3 SE +/- 0.00018, N = 3 SE +/- 0.00231, N = 3 SE +/- 0.00343, N = 3 SE +/- 0.01895, N = 3 SE +/- 0.00378, N = 3 SE +/- 0.00201, N = 3 SE +/- 0.00569, N = 3 SE +/- 0.00516, N = 3 SE +/- 0.02764, N = 4 SE +/- 0.01170, N = 3 SE +/- 0.00159, N = 3 0.36887 0.99122 0.35452 0.67856 1.48801 1.35176 1.27361 1.25032 1.71446 1.73171 2.55739 1.83066 1.42722 2.21649 1.58490 3.03284 3.02741 2.45862
miniBUDE MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 0.04, N = 3 SE +/- 0.83, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.36, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 1.53, N = 3 SE +/- 0.36, N = 3 SE +/- 0.02, N = 3 SE +/- 1.47, N = 3 SE +/- 0.04, N = 3 SE +/- 0.57, N = 3 SE +/- 0.63, N = 3 SE +/- 1.78, N = 3 162.79 312.70 215.88 225.97 492.62 481.06 460.21 445.22 649.11 632.72 981.82 680.31 510.27 872.51 603.20 1334.08 1292.96 948.05 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 12 24 36 48 60 SE +/- 0.002, N = 3 SE +/- 0.033, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.062, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.059, N = 3 SE +/- 0.002, N = 3 SE +/- 0.023, N = 3 SE +/- 0.025, N = 3 SE +/- 0.071, N = 3 6.512 12.508 8.635 9.039 19.705 19.243 18.408 17.809 25.964 25.309 39.273 27.212 20.411 34.900 24.128 53.363 51.718 37.922 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 12 24 36 48 60 SE +/- 0.020, N = 3 SE +/- 0.022, N = 3 SE +/- 0.030, N = 3 SE +/- 0.033, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.056, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.193, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 4 SE +/- 0.024, N = 4 SE +/- 0.189, N = 3 6.558 10.953 8.006 8.466 14.984 19.139 18.351 17.753 25.847 25.226 39.127 27.151 20.319 34.368 24.082 53.279 51.563 37.267 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 0.50, N = 3 SE +/- 0.54, N = 3 SE +/- 0.75, N = 3 SE +/- 0.84, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 SE +/- 1.41, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 4.82, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 4 SE +/- 0.59, N = 4 SE +/- 4.73, N = 3 163.95 273.82 200.14 211.66 374.60 478.48 458.78 443.83 646.18 630.65 978.17 678.77 507.98 859.22 602.05 1331.96 1289.07 931.68 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: AES-128-GCM Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60000M 120000M 180000M 240000M 300000M SE +/- 13052535.37, N = 3 SE +/- 24435383.09, N = 3 SE +/- 578272219.60, N = 4 SE +/- 47796128.65, N = 3 SE +/- 175339343.36, N = 3 SE +/- 30285231.65, N = 3 SE +/- 24892267.64, N = 3 SE +/- 37963496.22, N = 3 SE +/- 41102005.12, N = 3 SE +/- 25438028.29, N = 3 SE +/- 110200292.69, N = 3 SE +/- 14343060.71, N = 3 SE +/- 40673855.84, N = 3 SE +/- 109434681.69, N = 3 SE +/- 50249958.52, N = 3 SE +/- 123482353.88, N = 3 SE +/- 547481804.77, N = 3 SE +/- 68522252.28, N = 3 33154116447 102932484460 56053086448 70629956540 154928136283 98594352147 94785992387 92170527813 128904437487 126642465177 201109988240 137083157803 101179904457 171704895717 122893088177 268355104587 252697906293 188589856810 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: AES-256-GCM Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50000M 100000M 150000M 200000M 250000M SE +/- 7055191.19, N = 3 SE +/- 240122194.86, N = 3 SE +/- 201963468.67, N = 3 SE +/- 5234445.92, N = 3 SE +/- 220704096.88, N = 3 SE +/- 9454984.17, N = 3 SE +/- 5166601.46, N = 3 SE +/- 6088472.70, N = 3 SE +/- 39066473.49, N = 3 SE +/- 21405097.50, N = 3 SE +/- 22791706.81, N = 3 SE +/- 36966056.95, N = 3 SE +/- 9470023.07, N = 3 SE +/- 98483896.80, N = 3 SE +/- 69039683.61, N = 3 SE +/- 182364119.11, N = 3 SE +/- 80124320.10, N = 3 SE +/- 127802093.71, N = 3 28585037913 89656733693 49370764537 62676760803 136476021010 84459412137 80917282090 78818380277 110472694623 108320837997 171721420710 116859009887 87301717810 147759727503 103716166770 229694797960 216303973080 161342090263 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: ChaCha20-Poly1305 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20000M 40000M 60000M 80000M 100000M SE +/- 5907951.10, N = 3 SE +/- 49349478.88, N = 3 SE +/- 3918977.44, N = 3 SE +/- 1082739.55, N = 3 SE +/- 13289468.51, N = 3 SE +/- 2341933.82, N = 3 SE +/- 385914.54, N = 3 SE +/- 16156481.90, N = 3 SE +/- 3684291.80, N = 3 SE +/- 4906768.27, N = 3 SE +/- 10704194.70, N = 3 SE +/- 1655657.06, N = 3 SE +/- 11217202.57, N = 3 SE +/- 18619696.43, N = 3 SE +/- 11002950.94, N = 3 SE +/- 12662614.40, N = 3 SE +/- 13171812.34, N = 3 SE +/- 8961382.10, N = 3 12135222297 29963068213 18479094553 20467188257 43419797367 35629722827 34269486830 33156132047 47697006410 46333909220 72950722013 49651649337 30773352477 64824923840 44538023027 97503846853 92650569000 69128654303 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Tradebeans Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5K 10K 15K 20K 25K SE +/- 44.15, N = 15 SE +/- 21.87, N = 3 SE +/- 40.55, N = 3 SE +/- 185.34, N = 8 SE +/- 201.05, N = 3 SE +/- 21.93, N = 15 SE +/- 31.75, N = 5 SE +/- 32.87, N = 5 SE +/- 29.46, N = 6 SE +/- 22.33, N = 4 SE +/- 31.97, N = 4 SE +/- 25.60, N = 7 SE +/- 33.61, N = 4 SE +/- 33.33, N = 4 SE +/- 30.24, N = 4 SE +/- 14.51, N = 4 SE +/- 30.67, N = 8 SE +/- 19.18, N = 4 4465 17589 5265 21502 16955 2967 3095 3215 2925 3069 3413 2800 2868 3469 3236 3318 3584 3785
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: ChaCha20 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30000M 60000M 90000M 120000M 150000M SE +/- 276014.13, N = 3 SE +/- 719620.33, N = 3 SE +/- 185844089.92, N = 3 SE +/- 4963378.21, N = 3 SE +/- 365344152.36, N = 3 SE +/- 9095351.45, N = 3 SE +/- 7878136.43, N = 3 SE +/- 7381377.70, N = 3 SE +/- 3967916.19, N = 3 SE +/- 19249061.18, N = 3 SE +/- 42097198.81, N = 3 SE +/- 11144301.20, N = 3 SE +/- 1046506763.46, N = 12 SE +/- 16810381.02, N = 3 SE +/- 26453519.80, N = 3 SE +/- 51100601.36, N = 3 SE +/- 9991781.59, N = 3 SE +/- 9581152.64, N = 3 18158048323 44185884900 27278120147 31378336243 63368833890 49975806217 48318765647 46668209900 67104316530 65041419193 102485664107 69874425400 45138672714 91441462930 62921248133 137245194377 130930580687 97569908883 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
LuxCoreRender LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.0215 2.043 3.0645 4.086 5.1075 SE +/- 0.01, N = 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 15 SE +/- 0.01, N = 15 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 4 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 4 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 0.61 2.27 1.14 1.33 3.61 1.44 1.36 1.29 2.06 2.10 3.23 2.18 1.57 2.76 1.86 4.54 4.39 3.14 MIN: 0.12 / MAX: 0.89 MIN: 0.75 / MAX: 2.66 MIN: 0.27 / MAX: 1.48 MIN: 0.34 / MAX: 1.69 MIN: 1.43 / MAX: 4.1 MIN: 0.39 / MAX: 1.8 MIN: 0.34 / MAX: 1.75 MIN: 0.33 / MAX: 1.65 MIN: 0.65 / MAX: 2.46 MIN: 0.64 / MAX: 2.53 MIN: 1.23 / MAX: 3.73 MIN: 0.69 / MAX: 2.62 MIN: 0.43 / MAX: 1.94 MIN: 0.98 / MAX: 3.23 MIN: 0.55 / MAX: 2.28 MIN: 1.96 / MAX: 5.11 MIN: 1.87 / MAX: 4.96 MIN: 1.18 / MAX: 3.64
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.24, N = 3 SE +/- 0.35, N = 3 SE +/- 0.32, N = 3 SE +/- 0.77, N = 4 SE +/- 0.56, N = 3 SE +/- 0.75, N = 3 SE +/- 0.40, N = 3 SE +/- 0.37, N = 3 SE +/- 0.13, N = 3 SE +/- 1.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.53, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 19.36 43.05 28.01 29.02 61.85 63.39 61.53 60.98 76.77 77.08 114.08 81.15 55.41 99.95 72.48 137.41 142.48 113.41 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better NAMD 3.0b6 Input: STMV with 1,066,628 Atoms Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.1845 0.369 0.5535 0.738 0.9225 SE +/- 0.00011, N = 3 SE +/- 0.00070, N = 3 SE +/- 0.00037, N = 3 SE +/- 0.00034, N = 3 SE +/- 0.00142, N = 3 SE +/- 0.00029, N = 3 SE +/- 0.00006, N = 3 SE +/- 0.00004, N = 3 SE +/- 0.00042, N = 3 SE +/- 0.00024, N = 3 SE +/- 0.00097, N = 3 SE +/- 0.00011, N = 3 SE +/- 0.00437, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.00012, N = 3 SE +/- 0.00048, N = 3 SE +/- 0.00017, N = 3 SE +/- 0.00085, N = 3 0.11413 0.30138 0.13730 0.20769 0.44264 0.39715 0.38175 0.37444 0.49246 0.49720 0.70335 0.52361 0.41277 0.61347 0.46887 0.82017 0.80974 0.66429
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 400 800 1200 1600 2000 SE +/- 1.94, N = 3 SE +/- 0.86, N = 3 SE +/- 2.82, N = 3 SE +/- 1.34, N = 3 SE +/- 3.32, N = 3 SE +/- 3.26, N = 3 SE +/- 6.41, N = 3 SE +/- 2.92, N = 3 SE +/- 2.44, N = 3 SE +/- 0.26, N = 3 SE +/- 2.33, N = 3 SE +/- 1.27, N = 3 SE +/- 0.73, N = 3 SE +/- 2.10, N = 3 SE +/- 0.95, N = 3 SE +/- 3.91, N = 3 SE +/- 0.49, N = 3 SE +/- 1.73, N = 3 235.28 488.44 310.17 335.65 661.08 684.56 560.06 555.72 844.05 858.93 1164.60 900.23 651.31 1061.13 677.35 1669.37 1518.13 1145.16 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
LuxCoreRender LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.1183 2.2366 3.3549 4.4732 5.5915 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 10 SE +/- 0.01, N = 14 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 0.74 2.48 1.27 1.48 3.88 1.67 1.57 1.51 2.31 2.29 3.66 2.48 1.79 3.09 2.12 4.97 4.73 3.49 MIN: 0.17 / MAX: 0.99 MIN: 0.9 / MAX: 2.9 MIN: 0.36 / MAX: 1.6 MIN: 0.45 / MAX: 1.85 MIN: 1.71 / MAX: 4.43 MIN: 0.49 / MAX: 2.04 MIN: 0.44 / MAX: 1.93 MIN: 0.4 / MAX: 1.88 MIN: 0.76 / MAX: 2.75 MIN: 0.76 / MAX: 2.72 MIN: 1.5 / MAX: 4.18 MIN: 0.86 / MAX: 2.92 MIN: 0.55 / MAX: 2.17 MIN: 1.17 / MAX: 3.58 MIN: 0.69 / MAX: 2.54 MIN: 2.21 / MAX: 5.61 MIN: 2.04 / MAX: 5.36 MIN: 1.38 / MAX: 4.01
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 400 800 1200 1600 2000 SE +/- 1.81, N = 3 SE +/- 0.39, N = 3 SE +/- 3.51, N = 3 SE +/- 4.58, N = 3 SE +/- 4.72, N = 3 SE +/- 0.92, N = 3 SE +/- 0.66, N = 3 SE +/- 2.02, N = 3 SE +/- 3.67, N = 3 SE +/- 2.19, N = 3 SE +/- 3.52, N = 3 SE +/- 1.31, N = 3 SE +/- 0.58, N = 3 SE +/- 5.18, N = 3 SE +/- 1.04, N = 3 SE +/- 6.33, N = 3 SE +/- 2.48, N = 3 SE +/- 1.47, N = 3 291.47 724.82 391.19 407.34 999.75 749.67 677.99 669.40 972.84 1152.59 1459.85 1006.08 837.52 1259.26 893.04 1675.44 1949.30 1575.52 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 400 800 1200 1600 2000 SE +/- 2.31, N = 3 SE +/- 3.18, N = 3 SE +/- 3.41, N = 3 SE +/- 4.87, N = 3 SE +/- 3.01, N = 3 SE +/- 2.09, N = 3 SE +/- 0.49, N = 3 SE +/- 0.45, N = 3 SE +/- 1.95, N = 3 SE +/- 0.29, N = 3 SE +/- 0.44, N = 3 SE +/- 4.79, N = 3 SE +/- 7.33, N = 3 SE +/- 1.15, N = 3 SE +/- 0.05, N = 3 SE +/- 2.61, N = 3 SE +/- 0.64, N = 3 SE +/- 0.71, N = 3 267.46 589.69 370.39 391.29 837.32 652.29 582.94 572.78 844.51 844.53 1230.45 902.91 574.32 1096.67 696.48 1745.34 1544.28 1203.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Primesieve Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e12 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.247, N = 3 SE +/- 0.035, N = 3 SE +/- 0.041, N = 3 SE +/- 0.171, N = 12 SE +/- 0.136, N = 4 SE +/- 0.003, N = 3 SE +/- 0.018, N = 3 SE +/- 0.022, N = 3 SE +/- 0.005, N = 4 SE +/- 0.003, N = 4 SE +/- 0.008, N = 5 SE +/- 0.010, N = 4 SE +/- 0.010, N = 3 SE +/- 0.004, N = 5 SE +/- 0.005, N = 4 SE +/- 0.004, N = 7 SE +/- 0.005, N = 6 SE +/- 0.004, N = 5 40.911 16.981 25.098 23.923 12.325 17.008 17.760 18.272 13.265 13.547 8.490 12.104 16.878 10.265 14.726 6.281 6.996 9.173 1. (CXX) g++ options: -O3
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.32, N = 3 SE +/- 0.30, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.49, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.20, N = 3 SE +/- 0.67, N = 3 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 17.10 37.44 24.63 26.54 53.03 46.32 43.38 42.76 55.14 63.74 85.40 57.37 43.67 76.95 52.98 101.10 108.80 89.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
7-Zip Compression OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 24.05 Test: Decompression Rating Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 6.36, N = 3 SE +/- 275.51, N = 3 SE +/- 432.67, N = 3 SE +/- 2147.84, N = 3 SE +/- 1220.99, N = 15 SE +/- 88.12, N = 3 SE +/- 65.97, N = 3 SE +/- 20.92, N = 3 SE +/- 57.85, N = 3 SE +/- 35.71, N = 3 SE +/- 144.71, N = 3 SE +/- 57.95, N = 3 SE +/- 57.44, N = 3 SE +/- 54.78, N = 3 SE +/- 103.12, N = 3 SE +/- 229.54, N = 3 SE +/- 105.09, N = 3 SE +/- 59.05, N = 3 30208 92313 53877 63759 144611 67940 64984 63324 89893 88150 136835 93538 71229 121477 84586 184538 177693 132459 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Primesieve Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e13 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 100 200 300 400 500 SE +/- 0.37, N = 3 SE +/- 0.36, N = 3 SE +/- 3.77, N = 3 SE +/- 0.55, N = 3 SE +/- 0.83, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 464.16 193.45 298.80 288.44 143.38 206.52 219.53 224.53 161.75 165.13 104.43 148.04 208.05 125.14 183.27 76.60 85.10 111.42 1. (CXX) g++ options: -O3
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.26, N = 3 SE +/- 0.13, N = 3 SE +/- 1.17, N = 3 SE +/- 0.56, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 43.17 67.66 112.10 112.69 71.53 19.18 20.89 21.33 20.00 19.37 19.34 18.70 19.17 22.83 22.91 19.02 20.73 19.97 MIN: 32.67 / MAX: 53.9 MIN: 45.06 / MAX: 173.33 MIN: 67.41 / MAX: 506.64 MIN: 71.34 / MAX: 154.04 MIN: 46.01 / MAX: 187.4 MIN: 15.14 / MAX: 29.23 MIN: 13.74 / MAX: 30.74 MIN: 16.6 / MAX: 28.81 MIN: 13.06 / MAX: 32.97 MIN: 15.25 / MAX: 28.64 MIN: 12.87 / MAX: 51.99 MIN: 14.74 / MAX: 28.73 MIN: 12.27 / MAX: 49.89 MIN: 14.52 / MAX: 69.33 MIN: 16.25 / MAX: 63.25 MIN: 13.61 / MAX: 29.95 MIN: 14.73 / MAX: 55.98 MIN: 16.15 / MAX: 33.2 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: Blowfish Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10K 20K 30K 40K 50K SE +/- 2.33, N = 3 SE +/- 5.29, N = 3 SE +/- 78.21, N = 3 SE +/- 175.33, N = 7 SE +/- 31.63, N = 3 SE +/- 10.02, N = 3 SE +/- 3.76, N = 3 SE +/- 3.76, N = 3 SE +/- 5.69, N = 3 SE +/- 12.88, N = 3 SE +/- 6.36, N = 3 SE +/- 6.17, N = 3 SE +/- 7.88, N = 3 SE +/- 6.35, N = 3 SE +/- 6.39, N = 3 SE +/- 16.76, N = 3 SE +/- 37.11, N = 3 SE +/- 18.93, N = 3 9917 27934 15084 20069 37865 17633 16809 16345 23579 22511 35089 24210 7951 32324 22351 47600 45318 32985 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: bcrypt Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10K 20K 30K 40K 50K SE +/- 3.06, N = 3 SE +/- 269.63, N = 12 SE +/- 13.58, N = 3 SE +/- 176.71, N = 7 SE +/- 164.67, N = 3 SE +/- 8.09, N = 3 SE +/- 2.31, N = 3 SE +/- 7.42, N = 3 SE +/- 5.57, N = 3 SE +/- 7.31, N = 3 SE +/- 4.16, N = 3 SE +/- 2.00, N = 3 SE +/- 27.79, N = 3 SE +/- 8.45, N = 3 SE +/- 2.33, N = 3 SE +/- 27.70, N = 3 SE +/- 24.17, N = 3 SE +/- 182.78, N = 3 9915 27671 15137 20066 38284 17672 16808 16343 23581 22516 35159 24227 7959 32294 22340 47572 45379 32818 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1100 2200 3300 4400 5500 SE +/- 4.29, N = 3 SE +/- 5.78, N = 3 SE +/- 10.15, N = 3 SE +/- 13.77, N = 4 SE +/- 3.97, N = 3 SE +/- 1.00, N = 3 SE +/- 5.20, N = 3 SE +/- 8.28, N = 3 SE +/- 0.31, N = 3 SE +/- 0.41, N = 3 SE +/- 1.08, N = 3 SE +/- 2.41, N = 3 SE +/- 1.51, N = 3 SE +/- 0.89, N = 3 SE +/- 1.39, N = 3 SE +/- 9.62, N = 3 SE +/- 3.18, N = 3 SE +/- 1.18, N = 3 836.83 1916.61 1120.23 1188.57 2652.11 1815.01 1718.44 1701.77 2352.78 2251.20 3692.33 2524.69 1867.13 3094.18 2118.19 4912.07 4486.50 3389.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 1024 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 16.1 Chess Benchmark Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10M 20M 30M 40M 50M SE +/- 59486.20, N = 12 SE +/- 274008.99, N = 15 SE +/- 103912.04, N = 8 SE +/- 154824.02, N = 5 SE +/- 852035.89, N = 12 SE +/- 144013.33, N = 3 SE +/- 188064.97, N = 4 SE +/- 178379.10, N = 3 SE +/- 212431.61, N = 6 SE +/- 301792.22, N = 3 SE +/- 316794.65, N = 15 SE +/- 251178.72, N = 5 SE +/- 129900.64, N = 15 SE +/- 113002.17, N = 3 SE +/- 259540.84, N = 3 SE +/- 421469.15, N = 3 SE +/- 828652.10, N = 15 SE +/- 320356.74, N = 6 8054472 24194616 12409697 14029688 38271417 16829348 15419052 15033206 21439530 23138694 35502698 24088503 16652201 29203502 18351903 47033814 46112489 33924137 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: SHA256 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8000M 16000M 24000M 32000M 40000M SE +/- 6502197.17, N = 3 SE +/- 30922761.58, N = 3 SE +/- 97305728.30, N = 3 SE +/- 33200088.36, N = 3 SE +/- 89374930.56, N = 3 SE +/- 3685909.09, N = 3 SE +/- 6822513.93, N = 3 SE +/- 3391571.64, N = 3 SE +/- 10733656.97, N = 3 SE +/- 10419605.49, N = 3 SE +/- 21433294.52, N = 3 SE +/- 4554506.72, N = 3 SE +/- 13502528.77, N = 3 SE +/- 2829908.78, N = 3 SE +/- 2227506.24, N = 3 SE +/- 5122503.72, N = 3 SE +/- 18484712.72, N = 3 SE +/- 5370923.05, N = 3 6223394263 20813063350 11314584210 14393200520 33258423793 13202999330 12739526713 12356319230 17433560880 16077606657 26875900640 18276562437 12660251213 23422051187 16443782513 36112717797 33685103517 25031729300 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Xmrig Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 800 1600 2400 3200 4000 SE +/- 1.77, N = 3 SE +/- 8.10, N = 3 SE +/- 1.28, N = 3 SE +/- 0.64, N = 3 SE +/- 11.25, N = 2 SE +/- 4.91, N = 3 SE +/- 7.73, N = 3 SE +/- 2.76, N = 3 SE +/- 18.26, N = 3 SE +/- 2.37, N = 3 SE +/- 10.61, N = 3 SE +/- 11.29, N = 3 SE +/- 3.55, N = 3 SE +/- 15.27, N = 3 SE +/- 4.92, N = 3 SE +/- 10.05, N = 3 SE +/- 12.12, N = 3 SE +/- 7.18, N = 3 615.1 1958.8 898.7 903.1 2794.6 1420.6 894.5 856.9 1743.2 1818.8 2986.1 1773.6 1447.9 2822.8 921.7 3516.9 3531.9 2789.5 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Skeincoin Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10K 20K 30K 40K 50K SE +/- 38.88, N = 3 SE +/- 17.64, N = 3 SE +/- 230.29, N = 3 SE +/- 3.33, N = 3 SE +/- 126.67, N = 3 SE +/- 30.55, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 6.67, N = 3 SE +/- 102.03, N = 3 SE +/- 78.39, N = 3 SE +/- 60.00, N = 3 SE +/- 8.82, N = 3 SE +/- 34.64, N = 3 SE +/- 3.33, N = 3 SE +/- 18.56, N = 3 SE +/- 26.03, N = 3 SE +/- 62.45, N = 3 8354.09 27893.00 15970.00 19737.00 43907.00 17670.00 16750.00 16040.00 23327.00 21827.00 35713.00 24180.00 17003.00 32090.00 22253.00 47723.00 45047.00 33630.00 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 3.1 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.01046, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.02139, N = 3 SE +/- 0.02085, N = 3 SE +/- 0.00746, N = 3 SE +/- 0.00400, N = 3 SE +/- 0.00288, N = 3 SE +/- 0.01065, N = 3 SE +/- 0.01337, N = 3 SE +/- 0.01255, N = 3 SE +/- 0.01407, N = 3 SE +/- 0.01436, N = 3 SE +/- 0.01074, N = 3 SE +/- 0.00512, N = 3 SE +/- 0.01366, N = 3 SE +/- 0.01253, N = 3 SE +/- 0.03992, N = 3 SE +/- 0.01886, N = 3 1.39667 3.38083 2.02557 2.19285 4.90533 2.94215 2.63598 2.57105 3.89068 3.79089 5.90034 4.02336 3.08064 5.28203 3.41264 7.81982 7.50091 5.63677
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 3.1 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.00484, N = 3 SE +/- 0.00243, N = 3 SE +/- 0.01869, N = 3 SE +/- 0.03019, N = 3 SE +/- 0.00775, N = 3 SE +/- 0.01735, N = 3 SE +/- 0.00691, N = 3 SE +/- 0.00667, N = 3 SE +/- 0.00633, N = 3 SE +/- 0.01883, N = 3 SE +/- 0.00261, N = 3 SE +/- 0.00896, N = 3 SE +/- 0.01020, N = 3 SE +/- 0.01250, N = 3 SE +/- 0.00293, N = 3 SE +/- 0.04088, N = 3 SE +/- 0.03418, N = 3 SE +/- 0.01999, N = 3 1.43610 3.47557 2.07507 2.26513 5.10428 3.00231 2.67593 2.59354 3.92500 3.86165 5.97036 4.06389 3.13276 5.38667 3.45053 7.98571 7.62561 5.74570
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: LBC, LBRY Credits Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4K 8K 12K 16K 20K SE +/- 19.27, N = 3 SE +/- 25.09, N = 3 SE +/- 20.73, N = 3 SE +/- 1.43, N = 3 SE +/- 34.64, N = 3 SE +/- 2.78, N = 3 SE +/- 10.01, N = 3 SE +/- 7.41, N = 3 SE +/- 1.58, N = 3 SE +/- 1.97, N = 3 SE +/- 35.12, N = 3 SE +/- 11.08, N = 3 SE +/- 38.70, N = 3 SE +/- 5.77, N = 3 SE +/- 38.74, N = 3 SE +/- 113.48, N = 3 SE +/- 111.70, N = 3 SE +/- 35.12, N = 3 3038.81 9852.74 5733.86 6864.53 15200.00 6297.16 5942.58 5773.02 8353.25 7931.82 12680.00 8574.06 6077.64 11560.00 7853.52 16847.00 16327.00 12020.00 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.7 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20K 40K 60K 80K 100K SE +/- 200.49, N = 3 SE +/- 257.12, N = 3 SE +/- 188.47, N = 3 SE +/- 153.29, N = 3 SE +/- 648.99, N = 3 SE +/- 2.67, N = 3 SE +/- 3.65, N = 3 SE +/- 4.09, N = 3 SE +/- 22.61, N = 3 SE +/- 10.69, N = 3 SE +/- 12.69, N = 3 SE +/- 26.91, N = 3 SE +/- 72.35, N = 3 SE +/- 8.34, N = 3 SE +/- 7.54, N = 3 SE +/- 24.12, N = 3 SE +/- 82.60, N = 3 SE +/- 28.43, N = 3 17449.78 40852.83 26226.84 38586.57 62897.62 35260.72 34595.85 33582.30 45940.08 45313.57 71383.20 49415.77 35730.63 60796.29 42902.93 96668.00 88876.62 67895.29 1. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.029557, N = 15 SE +/- 0.010373, N = 3 SE +/- 0.020052, N = 3 SE +/- 0.016137, N = 3 SE +/- 0.028892, N = 3 SE +/- 0.042842, N = 3 SE +/- 0.027880, N = 15 SE +/- 0.023535, N = 3 SE +/- 0.071248, N = 3 SE +/- 0.074084, N = 4 SE +/- 0.056268, N = 15 SE +/- 0.054098, N = 3 SE +/- 0.023906, N = 3 SE +/- 0.065950, N = 3 SE +/- 0.029270, N = 15 SE +/- 0.045998, N = 3 SE +/- 0.042557, N = 3 SE +/- 0.064230, N = 15 2.054554 4.015708 2.892657 2.862856 6.939215 4.007988 3.293801 3.308305 5.510233 6.111617 8.252924 5.506325 3.996047 7.680399 3.813829 11.198408 10.462992 7.962646 1. (CC) gcc options: -O3 -march=native -fopenmp
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Deepcoin Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 20.44, N = 4 SE +/- 0.21, N = 3 SE +/- 33.52, N = 6 SE +/- 2.90, N = 3 SE +/- 126.38, N = 3 SE +/- 9.04, N = 3 SE +/- 3.49, N = 3 SE +/- 1.16, N = 3 SE +/- 17.46, N = 3 SE +/- 2.90, N = 3 SE +/- 32.57, N = 3 SE +/- 16.21, N = 3 SE +/- 5.28, N = 3 SE +/- 10.61, N = 3 SE +/- 7.73, N = 3 SE +/- 18.00, N = 3 SE +/- 54.03, N = 3 SE +/- 1.80, N = 3 1768.30 6000.71 3332.06 4177.87 9324.85 3457.15 3316.44 3231.24 4631.95 4407.52 7080.66 4782.95 3401.16 6261.41 4389.36 9454.54 8979.58 6713.79 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
Whisper.cpp OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.6.2 Model: ggml-medium.en - Input: 2016 State of the Union Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 700 1400 2100 2800 3500 SE +/- 1.86, N = 3 SE +/- 0.36, N = 3 SE +/- 2.75, N = 3 SE +/- 0.59, N = 3 SE +/- 1.35, N = 3 SE +/- 0.85, N = 3 SE +/- 1.35, N = 3 SE +/- 0.43, N = 3 SE +/- 0.44, N = 3 SE +/- 0.38, N = 3 SE +/- 9.29, N = 3 SE +/- 0.40, N = 3 SE +/- 0.93, N = 3 SE +/- 0.67, N = 3 SE +/- 2.07, N = 3 SE +/- 0.62, N = 3 SE +/- 0.51, N = 3 SE +/- 0.72, N = 3 1882.91 2063.14 3279.84 2747.61 1321.86 1213.15 1237.14 1273.52 956.67 1001.63 1135.01 917.06 2264.59 801.31 1733.23 614.39 989.22 764.22 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2
OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.6.2 Model: ggml-small.en - Input: 2016 State of the Union Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 0.66, N = 3 SE +/- 0.51, N = 3 SE +/- 7.34, N = 3 SE +/- 1.10, N = 3 SE +/- 0.81, N = 3 SE +/- 0.44, N = 3 SE +/- 0.19, N = 3 SE +/- 0.41, N = 3 SE +/- 0.22, N = 3 SE +/- 0.37, N = 3 SE +/- 1.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.46, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 1.01, N = 3 SE +/- 0.36, N = 3 610.51 666.05 1129.51 861.41 438.21 402.51 402.65 415.76 316.67 324.86 372.93 303.84 719.57 267.51 556.93 213.00 323.92 257.93 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Blake-2 S Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30K 60K 90K 120K 150K SE +/- 8.82, N = 3 SE +/- 475.08, N = 3 SE +/- 654.58, N = 3 SE +/- 89.69, N = 3 SE +/- 771.72, N = 3 SE +/- 29.06, N = 3 SE +/- 40.55, N = 3 SE +/- 32.83, N = 3 SE +/- 20.82, N = 3 SE +/- 55.08, N = 3 SE +/- 101.71, N = 3 SE +/- 30.00, N = 3 SE +/- 80.90, N = 3 SE +/- 41.77, N = 3 SE +/- 12.02, N = 3 SE +/- 76.67, N = 3 SE +/- 52.92, N = 3 SE +/- 49.10, N = 3 29167 85870 51747 60747 131773 56623 54133 52523 74920 72870 115253 77930 55463 102163 71487 154177 149920 110223 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: scrypt Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.78, N = 4 SE +/- 0.81, N = 3 SE +/- 0.85, N = 13 SE +/- 0.04, N = 3 SE +/- 0.71, N = 3 SE +/- 1.35, N = 5 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 1.54, N = 3 SE +/- 0.06, N = 3 SE +/- 0.46, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 2.60, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 63.21 193.07 108.81 126.52 289.43 121.69 117.55 114.22 157.93 148.32 247.64 167.84 120.34 205.84 152.48 333.45 305.77 227.90 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.24 2.48 3.72 4.96 6.2 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.004, N = 3 SE +/- 0.044, N = 4 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 1.049 2.674 1.599 1.770 3.867 2.046 1.929 1.878 2.676 2.734 4.143 2.822 2.151 3.572 2.495 5.511 5.378 4.035
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Random Read Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30M 60M 90M 120M 150M SE +/- 566942.62, N = 15 SE +/- 1018642.86, N = 15 SE +/- 292748.41, N = 3 SE +/- 896667.28, N = 3 SE +/- 1102791.29, N = 15 SE +/- 89875.09, N = 3 SE +/- 33027.17, N = 3 SE +/- 117968.19, N = 3 SE +/- 183729.53, N = 3 SE +/- 791857.51, N = 3 SE +/- 146010.43, N = 3 SE +/- 128245.32, N = 3 SE +/- 41777.41, N = 3 SE +/- 111734.55, N = 3 SE +/- 121639.18, N = 3 SE +/- 454859.07, N = 3 SE +/- 229383.82, N = 3 SE +/- 63308.88, N = 3 26640120 92234872 50784111 62477015 139804499 51566030 50084605 48732864 67142631 65491498 100634779 70764061 50166221 89211036 61167707 139018862 132664947 99456897 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Myriad-Groestl Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 20.30, N = 3 SE +/- 47.19, N = 3 SE +/- 51.60, N = 3 SE +/- 69.65, N = 3 SE +/- 42.56, N = 3 SE +/- 3.51, N = 3 SE +/- 10.33, N = 3 SE +/- 8.20, N = 3 SE +/- 2.28, N = 3 SE +/- 8.88, N = 3 SE +/- 25.67, N = 3 SE +/- 6.83, N = 3 SE +/- 6.93, N = 3 SE +/- 22.34, N = 3 SE +/- 0.67, N = 3 SE +/- 29.63, N = 3 SE +/- 3.33, N = 3 SE +/- 2.08, N = 3 2544.80 8552.29 4614.25 5914.99 13293.00 4517.14 4336.40 4231.69 5943.74 5775.81 9149.22 6205.42 4375.20 8090.87 5705.52 12313.00 11573.00 8646.62 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 600 1200 1800 2400 3000 SE +/- 4.12, N = 3 SE +/- 2.59, N = 3 SE +/- 7.35, N = 3 SE +/- 10.32, N = 3 SE +/- 0.70, N = 3 SE +/- 0.20, N = 3 SE +/- 0.69, N = 3 SE +/- 0.25, N = 3 SE +/- 0.71, N = 3 SE +/- 0.19, N = 3 SE +/- 0.44, N = 3 SE +/- 1.25, N = 3 SE +/- 0.78, N = 3 SE +/- 0.53, N = 3 SE +/- 0.18, N = 3 SE +/- 2.69, N = 3 SE +/- 1.29, N = 3 SE +/- 0.28, N = 3 544.75 1253.03 780.13 797.82 1703.66 1040.45 993.05 972.71 1351.09 1308.13 2066.76 1454.03 836.49 1780.54 1207.23 2829.43 2532.36 1946.18 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.3 Algorithm: SHA512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3000M 6000M 9000M 12000M 15000M SE +/- 1499159.12, N = 3 SE +/- 30702394.69, N = 3 SE +/- 37251720.56, N = 3 SE +/- 2463000.86, N = 3 SE +/- 6755660.56, N = 3 SE +/- 204732.05, N = 3 SE +/- 563975.61, N = 3 SE +/- 498910.56, N = 3 SE +/- 761930.95, N = 3 SE +/- 2257851.60, N = 3 SE +/- 37202545.39, N = 3 SE +/- 1285033.74, N = 3 SE +/- 458672.32, N = 3 SE +/- 825091.09, N = 3 SE +/- 1465298.21, N = 3 SE +/- 1796377.88, N = 3 SE +/- 538336.46, N = 3 SE +/- 2093715.33, N = 3 2256544047 6737647163 3661466983 4723836510 10338934137 4288925723 4130110360 4005833827 5682687943 5065063923 8679927303 5919888683 4123057283 7677141853 5435579553 11688134707 10776664750 8005917573 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 0.96, N = 3 SE +/- 0.27, N = 3 SE +/- 1.19, N = 3 SE +/- 0.52, N = 3 SE +/- 0.15, N = 3 SE +/- 0.76, N = 3 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 SE +/- 0.32, N = 3 SE +/- 0.64, N = 3 SE +/- 0.42, N = 3 SE +/- 0.89, N = 3 SE +/- 0.97, N = 3 SE +/- 0.43, N = 3 SE +/- 0.30, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 794.87 280.37 518.35 452.90 187.23 425.10 456.42 467.64 329.03 327.61 206.18 305.85 402.40 249.38 357.53 154.62 163.27 217.74
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: x20r Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 12.80, N = 3 SE +/- 71.09, N = 3 SE +/- 22.39, N = 10 SE +/- 3.11, N = 3 SE +/- 59.93, N = 3 SE +/- 21.55, N = 3 SE +/- 2.67, N = 3 SE +/- 4.14, N = 3 SE +/- 3.13, N = 3 SE +/- 14.64, N = 3 SE +/- 10.10, N = 3 SE +/- 18.11, N = 3 SE +/- 18.19, N = 3 SE +/- 3.25, N = 3 SE +/- 8.14, N = 3 SE +/- 72.75, N = 3 SE +/- 7.68, N = 3 SE +/- 0.60, N = 3 1705.30 4949.28 2842.75 3318.60 7483.54 3087.19 3049.46 2962.89 4167.21 3894.00 6486.57 4403.07 3155.96 5595.20 3999.41 8745.80 8145.89 6043.37 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Super Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 6 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 7.12 19.77 11.34 12.71 28.43 13.92 13.24 12.97 17.84 17.21 25.58 19.21 13.60 21.99 15.81 35.83 31.85 24.36
srsRAN Project srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Total Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 8.62, N = 5 SE +/- 97.97, N = 15 SE +/- 44.34, N = 15 SE +/- 96.55, N = 15 SE +/- 159.88, N = 15 SE +/- 12.80, N = 7 SE +/- 11.18, N = 6 SE +/- 39.75, N = 6 SE +/- 10.44, N = 7 SE +/- 51.96, N = 7 SE +/- 73.22, N = 14 SE +/- 20.07, N = 7 SE +/- 15.52, N = 7 SE +/- 46.07, N = 6 SE +/- 11.52, N = 6 SE +/- 72.38, N = 6 SE +/- 111.46, N = 8 SE +/- 21.88, N = 7 2687.7 5755.8 3918.9 4542.8 7299.5 5500.0 5496.2 5273.5 7198.3 7395.1 11012.0 7749.4 5794.5 10432.5 6248.9 13524.3 13094.5 11019.4 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.44, N = 3 SE +/- 0.25, N = 3 SE +/- 0.50, N = 3 SE +/- 0.88, N = 3 SE +/- 0.37, N = 3 SE +/- 0.34, N = 3 SE +/- 0.56, N = 3 SE +/- 0.27, N = 3 SE +/- 0.25, N = 3 SE +/- 0.61, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.55, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 314.08 115.50 207.38 183.90 77.62 171.54 182.37 186.67 132.29 130.13 83.46 123.02 161.51 100.47 141.16 62.55 65.84 87.78
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Read Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30M 60M 90M 120M 150M SE +/- 267011.60, N = 3 SE +/- 727917.62, N = 3 SE +/- 699242.91, N = 3 SE +/- 616598.19, N = 3 SE +/- 321195.59, N = 3 SE +/- 146599.31, N = 3 SE +/- 317338.41, N = 3 SE +/- 353450.84, N = 3 SE +/- 114402.27, N = 3 SE +/- 40489.98, N = 3 SE +/- 27665.88, N = 3 SE +/- 207900.89, N = 3 SE +/- 74194.84, N = 3 SE +/- 320991.90, N = 3 SE +/- 54878.11, N = 3 SE +/- 221831.70, N = 3 SE +/- 751512.94, N = 3 SE +/- 297174.68, N = 3 30363777 100803846 54007749 66357481 152107620 52898202 50961766 49532824 69010673 68760920 103893954 72835728 51052971 91899802 62232942 143945059 137230701 102368060 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11K 22K 33K 44K 55K SE +/- 57.20, N = 3 SE +/- 30.73, N = 3 SE +/- 164.35, N = 3 SE +/- 231.37, N = 3 SE +/- 52.46, N = 3 SE +/- 20.70, N = 3 SE +/- 40.38, N = 3 SE +/- 43.92, N = 3 SE +/- 64.12, N = 3 SE +/- 19.80, N = 3 SE +/- 13.62, N = 3 SE +/- 19.65, N = 3 SE +/- 10.47, N = 3 SE +/- 48.37, N = 3 SE +/- 25.32, N = 3 SE +/- 73.57, N = 3 SE +/- 71.98, N = 3 SE +/- 41.58, N = 3 10185.82 25810.98 16272.55 17076.69 36151.22 16950.20 18789.60 18173.77 25338.39 23910.72 37128.05 26816.32 19204.82 32891.44 23192.90 51016.63 45335.10 35130.28 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.0202, N = 3 SE +/- 0.0291, N = 3 SE +/- 0.1076, N = 3 SE +/- 0.1283, N = 5 SE +/- 0.0676, N = 3 SE +/- 0.0080, N = 3 SE +/- 0.0106, N = 3 SE +/- 0.0178, N = 3 SE +/- 0.0052, N = 3 SE +/- 0.0248, N = 3 SE +/- 0.0227, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0051, N = 3 SE +/- 0.0123, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0419, N = 3 SE +/- 0.0535, N = 3 SE +/- 0.0395, N = 3 6.4996 18.2018 10.3015 11.5399 29.1433 12.1591 11.5747 11.3098 15.9167 17.1035 24.5173 16.7626 12.7869 21.1977 14.8331 32.3919 32.5029 24.4733 MIN: 6.42 / MAX: 6.85 MIN: 17.94 / MAX: 18.74 MIN: 10.04 / MAX: 12.42 MIN: 11.28 / MAX: 15.22 MIN: 28.48 / MAX: 30.14 MIN: 12.07 / MAX: 12.39 MIN: 11.49 / MAX: 11.74 MIN: 11.22 / MAX: 11.53 MIN: 15.8 / MAX: 16.22 MIN: 16.97 / MAX: 17.37 MIN: 24.27 / MAX: 25.11 MIN: 16.6 / MAX: 17.14 MIN: 12.69 / MAX: 13 MIN: 21.02 / MAX: 21.51 MIN: 14.75 / MAX: 15.05 MIN: 32.04 / MAX: 33.08 MIN: 32.16 / MAX: 33.03 MIN: 24.19 / MAX: 24.85
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 5.59 12.04 7.93 7.94 17.68 10.18 9.81 9.58 13.35 13.08 19.84 14.24 8.51 17.58 11.49 27.93 24.64 19.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20K 40K 60K 80K 100K SE +/- 168.55, N = 3 SE +/- 39.94, N = 3 SE +/- 644.37, N = 4 SE +/- 478.44, N = 3 SE +/- 51.96, N = 3 SE +/- 126.53, N = 3 SE +/- 170.22, N = 3 SE +/- 212.56, N = 3 SE +/- 214.85, N = 3 SE +/- 125.91, N = 3 SE +/- 16.09, N = 3 SE +/- 21.43, N = 3 SE +/- 37.04, N = 3 SE +/- 8.74, N = 3 SE +/- 80.39, N = 3 SE +/- 11.79, N = 3 SE +/- 120.85, N = 3 SE +/- 62.43, N = 3 79892 33474 53402 49972 20845 49534 52416 54027 37714 37991 21568 36235 46770 24825 40638 16022 16994 22859
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300K 600K 900K 1200K 1500K SE +/- 735.78, N = 3 SE +/- 1167.08, N = 3 SE +/- 3544.01, N = 3 SE +/- 771.81, N = 3 SE +/- 1027.15, N = 3 SE +/- 2447.71, N = 12 SE +/- 362.17, N = 3 SE +/- 1431.77, N = 3 SE +/- 4932.20, N = 3 SE +/- 1912.43, N = 3 SE +/- 707.99, N = 3 SE +/- 3708.68, N = 3 SE +/- 2080.30, N = 12 SE +/- 5764.46, N = 3 SE +/- 561.97, N = 3 SE +/- 7980.52, N = 3 SE +/- 5012.23, N = 3 SE +/- 2622.79, N = 3 245535 477266 359922 406252 834360 314751 286718 279361 397441 649076 777708 405515 294390 742113 335482 1021385 1223286 916226 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.9164 1.8328 2.7492 3.6656 4.582 SE +/- 0.012, N = 3 SE +/- 0.005, N = 3 SE +/- 0.028, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.025, N = 12 SE +/- 0.004, N = 3 SE +/- 0.018, N = 3 SE +/- 0.031, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.023, N = 3 SE +/- 0.025, N = 12 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 4.073 2.095 2.779 2.461 1.199 3.179 3.488 3.580 2.517 1.541 1.286 2.466 3.399 1.348 2.981 0.979 0.818 1.092 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20K 40K 60K 80K 100K SE +/- 231.11, N = 3 SE +/- 73.26, N = 3 SE +/- 416.71, N = 3 SE +/- 454.19, N = 3 SE +/- 47.15, N = 3 SE +/- 103.13, N = 3 SE +/- 161.19, N = 3 SE +/- 183.21, N = 3 SE +/- 164.95, N = 3 SE +/- 75.61, N = 3 SE +/- 5.78, N = 3 SE +/- 55.72, N = 3 SE +/- 129.99, N = 3 SE +/- 20.60, N = 3 SE +/- 172.25, N = 3 SE +/- 13.08, N = 3 SE +/- 71.85, N = 3 SE +/- 124.50, N = 3 80750 33993 54028 50498 21314 50364 53131 54746 37871 38229 21837 36562 47596 25038 41386 16227 17018 23110
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20K 40K 60K 80K 100K SE +/- 161.95, N = 3 SE +/- 313.35, N = 3 SE +/- 335.24, N = 3 SE +/- 481.33, N = 3 SE +/- 108.29, N = 3 SE +/- 100.08, N = 3 SE +/- 219.27, N = 3 SE +/- 119.59, N = 3 SE +/- 151.10, N = 3 SE +/- 72.21, N = 3 SE +/- 21.94, N = 3 SE +/- 59.76, N = 3 SE +/- 59.40, N = 3 SE +/- 89.16, N = 3 SE +/- 103.14, N = 3 SE +/- 5.17, N = 3 SE +/- 28.81, N = 3 SE +/- 131.20, N = 3 94294 38668 63580 58808 24688 58244 61537 63250 43770 44128 25553 42288 54872 32875 47927 18989 20048 30883
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.13, N = 8 SE +/- 0.24, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.03, N = 3 8.22 22.73 13.10 14.76 33.28 16.00 15.27 14.96 20.54 19.77 29.13 22.05 15.63 25.03 18.21 40.75 36.47 27.58
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Garlicoin Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 800 1600 2400 3200 4000 SE +/- 10.78, N = 3 SE +/- 13.95, N = 3 SE +/- 10.70, N = 10 SE +/- 2.73, N = 3 SE +/- 43.02, N = 4 SE +/- 2.31, N = 3 SE +/- 5.09, N = 3 SE +/- 2.21, N = 3 SE +/- 2.53, N = 3 SE +/- 0.53, N = 3 SE +/- 1.35, N = 3 SE +/- 2.57, N = 3 SE +/- 2.14, N = 3 SE +/- 6.36, N = 3 SE +/- 2.26, N = 3 SE +/- 3.95, N = 3 SE +/- 4.07, N = 3 SE +/- 2.58, N = 3 790.31 2406.75 1371.48 1619.32 3692.19 1424.54 1380.70 1336.00 1864.18 1800.24 2908.63 1977.42 1408.14 2484.68 1790.75 3896.73 3692.96 2755.07 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 6 SE +/- 0.20, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 7.04 19.72 11.26 12.61 27.92 13.76 13.05 12.80 17.70 17.10 25.39 19.02 13.45 21.80 15.68 34.69 30.94 24.08
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Slow Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 2.59 6.82 3.97 4.37 10.17 4.85 4.63 4.51 6.20 5.96 8.99 6.64 4.74 7.79 5.50 12.76 11.35 8.51
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Ringcoin Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 800 1600 2400 3200 4000 SE +/- 8.70, N = 3 SE +/- 1.17, N = 3 SE +/- 11.51, N = 8 SE +/- 2.83, N = 3 SE +/- 34.52, N = 7 SE +/- 1.77, N = 3 SE +/- 4.14, N = 3 SE +/- 2.13, N = 3 SE +/- 1.97, N = 3 SE +/- 11.49, N = 3 SE +/- 5.55, N = 3 SE +/- 0.39, N = 3 SE +/- 4.22, N = 3 SE +/- 0.39, N = 3 SE +/- 1.55, N = 3 SE +/- 2.49, N = 3 SE +/- 8.95, N = 3 SE +/- 4.28, N = 3 770.10 2523.43 1362.88 1654.43 3773.54 1394.52 1343.66 1303.02 1839.47 1757.26 2821.37 1918.08 1371.19 2479.78 1760.25 3778.66 3575.45 2673.23 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Medium Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.88 7.60 4.40 4.86 11.27 5.40 5.15 5.03 6.90 6.63 9.97 7.40 5.28 8.63 6.13 14.12 12.60 9.44
Perl Benchmarks Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.001 0.002 0.003 0.004 0.005 SE +/- 0.00001638, N = 3 SE +/- 0.00008113, N = 15 SE +/- 0.00000047, N = 3 SE +/- 0.00028407, N = 15 SE +/- 0.00001007, N = 3 SE +/- 0.00000252, N = 3 SE +/- 0.00000307, N = 3 SE +/- 0.00000109, N = 3 SE +/- 0.00000049, N = 3 SE +/- 0.00000124, N = 3 SE +/- 0.00000167, N = 3 SE +/- 0.00000464, N = 3 SE +/- 0.00000241, N = 3 SE +/- 0.00000392, N = 3 SE +/- 0.00000215, N = 3 SE +/- 0.00000203, N = 3 SE +/- 0.00000231, N = 3 SE +/- 0.00000574, N = 3 0.00389447 0.00130489 0.00106204 0.00251534 0.00433343 0.00097018 0.00129004 0.00138968 0.00094480 0.00104846 0.00088573 0.00094596 0.00103494 0.00092174 0.00132523 0.00093927 0.00103926 0.00098875
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read While Writing Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1000K 2000K 3000K 4000K 5000K SE +/- 6927.73, N = 3 SE +/- 47342.14, N = 15 SE +/- 33048.88, N = 15 SE +/- 56642.51, N = 12 SE +/- 75274.87, N = 15 SE +/- 2651.46, N = 3 SE +/- 4920.90, N = 3 SE +/- 12414.13, N = 3 SE +/- 23188.42, N = 3 SE +/- 1493.97, N = 3 SE +/- 15083.78, N = 3 SE +/- 16029.79, N = 3 SE +/- 17603.44, N = 3 SE +/- 25124.89, N = 3 SE +/- 30089.94, N = 3 SE +/- 50461.54, N = 3 SE +/- 62430.50, N = 3 SE +/- 16890.35, N = 3 939682 2787765 1758300 2083227 4279902 1866542 1726952 1720855 2485579 2532370 3223193 2600854 1780989 3158429 2197201 4532111 4563763 3292374 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.70, N = 3 SE +/- 0.24, N = 3 SE +/- 3.72, N = 3 SE +/- 1.00, N = 3 SE +/- 0.09, N = 3 SE +/- 0.35, N = 3 SE +/- 0.42, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.28, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.28, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 260.27 167.13 303.03 264.83 110.62 155.65 183.50 188.16 123.19 115.45 77.32 118.84 147.68 88.53 152.36 62.42 64.91 81.88
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1000 2000 3000 4000 5000 SE +/- 9.82, N = 3 SE +/- 0.88, N = 3 SE +/- 2.19, N = 3 SE +/- 17.03, N = 3 SE +/- 4.16, N = 3 SE +/- 2.00, N = 3 SE +/- 2.31, N = 3 SE +/- 3.53, N = 3 SE +/- 0.88, N = 3 SE +/- 3.00, N = 3 SE +/- 0.33, N = 3 SE +/- 2.96, N = 3 SE +/- 0.88, N = 3 SE +/- 2.00, N = 3 SE +/- 1.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.88, N = 3 SE +/- 4.91, N = 3 4859 1903 3280 3054 1317 2867 3049 3137 2139 2142 1349 2039 2733 1555 2324 1003 1054 1438
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1200 2400 3600 4800 6000 SE +/- 6.69, N = 3 SE +/- 10.68, N = 3 SE +/- 15.18, N = 3 SE +/- 7.97, N = 3 SE +/- 4.04, N = 3 SE +/- 1.00, N = 3 SE +/- 1.33, N = 3 SE +/- 2.00, N = 3 SE +/- 1.76, N = 3 SE +/- 3.21, N = 3 SE +/- 0.67, N = 3 SE +/- 1.53, N = 3 SE +/- 2.08, N = 3 SE +/- 1.76, N = 3 SE +/- 2.00, N = 3 SE +/- 0.88, N = 3 SE +/- 0.88, N = 3 SE +/- 6.51, N = 3 5739 2250 3903 3612 1532 3402 3627 3722 2526 2512 1598 2412 3224 1832 2757 1185 1256 1688
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Quad SHA-256, Pyrite Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15K 30K 45K 60K 75K SE +/- 28.48, N = 3 SE +/- 394.05, N = 3 SE +/- 240.45, N = 6 SE +/- 85.44, N = 3 SE +/- 518.73, N = 3 SE +/- 12.02, N = 3 SE +/- 108.37, N = 3 SE +/- 148.36, N = 3 SE +/- 83.33, N = 3 SE +/- 52.39, N = 3 SE +/- 16.67, N = 3 SE +/- 0.00, N = 3 SE +/- 85.05, N = 3 SE +/- 78.60, N = 3 SE +/- 416.17, N = 3 SE +/- 25.17, N = 3 SE +/- 444.27, N = 3 SE +/- 15.28, N = 3 14023 43193 24455 30440 66103 23987 24053 23413 32773 30673 50507 34350 24080 43257 32110 67860 63713 47220 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read While Writing Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 9696.83, N = 3 SE +/- 164236.10, N = 15 SE +/- 91678.43, N = 15 SE +/- 139363.89, N = 15 SE +/- 260118.12, N = 15 SE +/- 2896.30, N = 3 SE +/- 27913.78, N = 3 SE +/- 11592.71, N = 3 SE +/- 7843.44, N = 3 SE +/- 26566.51, N = 15 SE +/- 52571.15, N = 12 SE +/- 14479.19, N = 3 SE +/- 17965.84, N = 15 SE +/- 44799.44, N = 3 SE +/- 31656.54, N = 15 SE +/- 37896.20, N = 12 SE +/- 22528.84, N = 3 SE +/- 41819.43, N = 15 1231689 3898776 2633727 2964300 5958359 2369866 2262147 2233452 3110260 3315741 4072404 3258735 2255174 3979839 2899281 5462486 5474661 4115459 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1100 2200 3300 4400 5500 SE +/- 1.53, N = 3 SE +/- 2.85, N = 3 SE +/- 6.74, N = 3 SE +/- 6.12, N = 3 SE +/- 7.84, N = 3 SE +/- 4.00, N = 3 SE +/- 0.33, N = 3 SE +/- 4.06, N = 3 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 2.08, N = 3 SE +/- 2.85, N = 3 SE +/- 0.88, N = 3 SE +/- 3.00, N = 3 SE +/- 1.00, N = 3 4901 1947 3329 3107 1325 2901 3081 3167 2156 2146 1369 2060 2762 1567 2348 1015 1081 1453
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5K 10K 15K 20K 25K SE +/- 81.10, N = 3 SE +/- 6.66, N = 3 SE +/- 49.14, N = 3 SE +/- 22.98, N = 3 SE +/- 20.42, N = 3 SE +/- 16.59, N = 3 SE +/- 0.58, N = 3 SE +/- 10.87, N = 3 SE +/- 8.84, N = 3 SE +/- 21.11, N = 3 SE +/- 7.57, N = 3 SE +/- 4.73, N = 3 SE +/- 14.33, N = 3 SE +/- 4.91, N = 3 SE +/- 12.06, N = 3 SE +/- 2.08, N = 3 SE +/- 3.76, N = 3 SE +/- 20.17, N = 3 22775 8952 15304 14361 6098 13478 14361 14765 10043 9958 6332 9570 12784 7296 10949 4718 4981 6703
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4K 8K 12K 16K 20K SE +/- 103.88, N = 3 SE +/- 11.36, N = 3 SE +/- 144.73, N = 4 SE +/- 34.82, N = 3 SE +/- 3.06, N = 3 SE +/- 6.56, N = 3 SE +/- 13.92, N = 3 SE +/- 15.70, N = 3 SE +/- 6.49, N = 3 SE +/- 2.08, N = 3 SE +/- 2.89, N = 3 SE +/- 5.04, N = 3 SE +/- 6.94, N = 3 SE +/- 6.69, N = 3 SE +/- 3.06, N = 3 SE +/- 3.18, N = 3 SE +/- 3.18, N = 3 SE +/- 6.11, N = 3 19157 7544 12914 12099 5178 11401 12080 12457 8472 8461 5370 8086 10816 6180 9233 3982 4187 5655
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4K 8K 12K 16K 20K SE +/- 85.43, N = 3 SE +/- 14.57, N = 3 SE +/- 80.56, N = 3 SE +/- 30.45, N = 3 SE +/- 53.05, N = 3 SE +/- 9.28, N = 3 SE +/- 13.69, N = 3 SE +/- 18.05, N = 3 SE +/- 7.51, N = 3 SE +/- 4.37, N = 3 SE +/- 2.52, N = 3 SE +/- 3.51, N = 3 SE +/- 6.84, N = 3 SE +/- 6.08, N = 3 SE +/- 6.74, N = 3 SE +/- 1.76, N = 3 SE +/- 4.98, N = 3 SE +/- 4.67, N = 3 19361 7702 13069 12297 5247 11532 12248 12590 8576 8541 5431 8192 10945 6223 9329 4038 4237 5751
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200K 400K 600K 800K 1000K SE +/- 57.29, N = 3 SE +/- 3913.91, N = 3 SE +/- 1810.98, N = 3 SE +/- 5653.40, N = 3 SE +/- 5197.75, N = 3 SE +/- 337.64, N = 3 SE +/- 1049.32, N = 3 SE +/- 499.56, N = 3 SE +/- 1335.97, N = 3 SE +/- 989.44, N = 3 SE +/- 3734.94, N = 3 SE +/- 1012.45, N = 3 SE +/- 284.73, N = 3 SE +/- 6333.91, N = 6 SE +/- 665.47, N = 3 SE +/- 7966.47, N = 3 SE +/- 483.94, N = 3 SE +/- 6317.88, N = 3 211509.68 602278.08 356568.69 436265.05 872643.43 369593.87 356369.06 346457.19 493775.14 465601.72 737515.97 514275.92 387172.65 648201.73 469864.60 1012072.39 948117.43 684339.46 1. (CC) gcc options: -O2 -lrt" -lrt
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.002, N = 3 SE +/- 0.037, N = 3 SE +/- 0.017, N = 3 SE +/- 0.014, N = 3 SE +/- 0.027, N = 3 SE +/- 0.016, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.034, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.023, N = 3 SE +/- 0.020, N = 3 SE +/- 0.040, N = 3 SE +/- 0.021, N = 3 SE +/- 0.009, N = 3 2.543 7.499 4.131 4.779 11.168 4.426 4.204 4.080 5.831 5.938 9.105 6.121 4.657 7.834 5.352 12.141 11.780 8.872
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.0344, N = 3 SE +/- 0.0228, N = 3 SE +/- 0.1135, N = 3 SE +/- 0.1196, N = 6 SE +/- 0.0416, N = 3 SE +/- 0.0120, N = 3 SE +/- 0.0083, N = 3 SE +/- 0.0066, N = 3 SE +/- 0.0524, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0252, N = 3 SE +/- 0.0280, N = 3 SE +/- 0.0156, N = 3 SE +/- 0.0089, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0353, N = 3 SE +/- 0.0282, N = 3 SE +/- 0.0532, N = 3 7.0795 18.6255 10.7291 11.9195 29.3537 12.6831 11.9406 11.6898 16.5396 17.9872 25.6662 17.4756 13.3019 22.1203 15.3017 33.6213 33.7611 25.4854 MIN: 6.98 / MAX: 7.5 MIN: 18.34 / MAX: 19.23 MIN: 10.42 / MAX: 12.99 MIN: 11.65 / MAX: 15.92 MIN: 28.72 / MAX: 30.67 MIN: 12.57 / MAX: 12.97 MIN: 11.84 / MAX: 12.18 MIN: 11.6 / MAX: 11.89 MIN: 16.35 / MAX: 16.98 MIN: 17.87 / MAX: 18.29 MIN: 25.34 / MAX: 26.25 MIN: 17.22 / MAX: 17.94 MIN: 13.17 / MAX: 13.6 MIN: 21.88 / MAX: 22.65 MIN: 15.2 / MAX: 15.57 MIN: 32.93 / MAX: 34.68 MIN: 33.22 / MAX: 34.44 MIN: 25.19 / MAX: 25.98
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Junkshop - Compute: CPU-Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.50, N = 3 SE +/- 0.95, N = 3 SE +/- 0.47, N = 3 SE +/- 1.00, N = 3 SE +/- 0.19, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.26, N = 3 SE +/- 0.27, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.47, N = 3 SE +/- 0.47, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 323.64 117.75 206.95 182.86 77.98 183.44 190.02 195.32 138.77 135.61 90.03 132.73 174.82 103.26 147.79 68.07 69.52 92.17
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Triple SHA-256, Onecoin Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20K 40K 60K 80K 100K SE +/- 138.68, N = 3 SE +/- 586.41, N = 3 SE +/- 324.65, N = 7 SE +/- 8.82, N = 3 SE +/- 536.75, N = 3 SE +/- 75.35, N = 3 SE +/- 5.77, N = 3 SE +/- 85.44, N = 3 SE +/- 32.83, N = 3 SE +/- 184.48, N = 3 SE +/- 37.56, N = 3 SE +/- 56.08, N = 3 SE +/- 41.63, N = 3 SE +/- 156.45, N = 3 SE +/- 26.03, N = 3 SE +/- 55.08, N = 3 SE +/- 114.65, N = 3 SE +/- 92.07, N = 3 20410 62667 35236 44583 96730 30797 30890 29810 42213 40020 65337 44357 31350 56807 40523 87320 81867 61357 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 4 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.87 12.05 7.46 8.14 17.99 9.40 8.96 8.75 11.66 11.16 16.18 12.62 9.19 14.13 10.46 22.94 20.42 15.06 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.00 12.39 7.66 8.36 18.31 9.58 9.17 8.97 11.91 11.40 16.52 12.87 9.38 14.47 10.69 23.40 20.86 15.41 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: BMW27 - Compute: CPU-Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.56, N = 3 SE +/- 0.30, N = 3 SE +/- 0.51, N = 3 SE +/- 0.80, N = 3 SE +/- 0.15, N = 3 SE +/- 0.31, N = 3 SE +/- 0.24, N = 3 SE +/- 0.40, N = 3 SE +/- 0.06, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 234.66 84.58 153.00 132.35 55.93 138.57 146.87 151.31 106.13 106.19 66.78 98.99 131.15 79.97 113.32 50.16 52.76 70.70
Cpuminer-Opt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 24.3 Algorithm: Magi Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 150 300 450 600 750 SE +/- 0.42, N = 3 SE +/- 5.83, N = 3 SE +/- 1.90, N = 12 SE +/- 0.58, N = 3 SE +/- 4.22, N = 3 SE +/- 1.29, N = 3 SE +/- 0.10, N = 3 SE +/- 0.63, N = 3 SE +/- 0.56, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 SE +/- 0.60, N = 3 SE +/- 0.40, N = 3 SE +/- 0.28, N = 3 SE +/- 0.29, N = 3 SE +/- 0.61, N = 3 SE +/- 0.70, N = 3 SE +/- 0.49, N = 3 148.89 447.70 256.49 300.96 669.26 259.82 243.67 238.34 340.32 327.60 518.77 353.75 247.61 465.02 323.76 695.87 668.23 490.72 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80K 160K 240K 320K 400K SE +/- 85.91, N = 3 SE +/- 242.44, N = 3 SE +/- 3533.94, N = 3 SE +/- 1077.20, N = 3 SE +/- 787.24, N = 3 SE +/- 115.60, N = 3 SE +/- 68.76, N = 3 SE +/- 121.32, N = 3 SE +/- 220.83, N = 3 SE +/- 439.36, N = 3 SE +/- 95.67, N = 3 SE +/- 191.92, N = 3 SE +/- 94.87, N = 3 SE +/- 191.37, N = 3 SE +/- 153.06, N = 3 SE +/- 59.08, N = 3 SE +/- 40.32, N = 3 SE +/- 402.93, N = 3 369669 146501 245638 230130 99578 219451 234000 240384 163986 163345 105267 156654 208103 120544 179331 79168 83592 110623
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Tomcat Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 39.49, N = 3 SE +/- 28.29, N = 3 SE +/- 15.86, N = 3 SE +/- 14.19, N = 3 SE +/- 23.96, N = 4 SE +/- 10.58, N = 3 SE +/- 1.33, N = 3 SE +/- 1.20, N = 3 SE +/- 1.20, N = 3 SE +/- 2.60, N = 3 SE +/- 3.63, N = 4 SE +/- 10.26, N = 3 SE +/- 7.64, N = 3 SE +/- 4.52, N = 4 SE +/- 7.23, N = 3 SE +/- 2.53, N = 4 SE +/- 5.17, N = 4 SE +/- 6.45, N = 4 15633 6244 6600 6626 3846 8732 8822 8850 6582 6579 4435 6520 8699 4493 6593 3368 3404 4498
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 3.1 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.01990, N = 3 SE +/- 0.00562, N = 3 SE +/- 0.03141, N = 3 SE +/- 0.02695, N = 7 SE +/- 0.02530, N = 3 SE +/- 0.00335, N = 3 SE +/- 0.00268, N = 3 SE +/- 0.00239, N = 3 SE +/- 0.00276, N = 3 SE +/- 0.00162, N = 3 SE +/- 0.00542, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.00995, N = 3 SE +/- 0.00132, N = 3 SE +/- 0.00408, N = 3 SE +/- 0.00250, N = 3 SE +/- 0.00996, N = 3 2.04781 4.61953 2.80715 3.00024 6.56553 3.50098 3.29899 3.19741 4.62359 4.47838 7.10522 4.81982 3.66252 6.25893 4.29756 9.47287 8.95734 6.70602
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70K 140K 210K 280K 350K SE +/- 181.00, N = 3 SE +/- 203.77, N = 3 SE +/- 2052.21, N = 3 SE +/- 440.18, N = 3 SE +/- 170.39, N = 3 SE +/- 21.17, N = 3 SE +/- 160.63, N = 3 SE +/- 131.20, N = 3 SE +/- 64.43, N = 3 SE +/- 193.51, N = 3 SE +/- 34.71, N = 3 SE +/- 177.53, N = 3 SE +/- 311.77, N = 3 SE +/- 181.20, N = 3 SE +/- 193.22, N = 3 SE +/- 135.44, N = 3 SE +/- 85.99, N = 3 SE +/- 223.84, N = 3 312235 124146 209267 196112 84944 186345 197070 203273 139348 139322 89596 132423 176486 102470 151739 67572 70438 93849
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 1.0 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70K 140K 210K 280K 350K SE +/- 84.43, N = 3 SE +/- 1036.54, N = 3 SE +/- 266.85, N = 3 SE +/- 596.97, N = 3 SE +/- 318.51, N = 3 SE +/- 150.43, N = 3 SE +/- 405.79, N = 3 SE +/- 97.74, N = 3 SE +/- 132.37, N = 3 SE +/- 208.81, N = 3 SE +/- 139.11, N = 3 SE +/- 243.47, N = 3 SE +/- 209.12, N = 3 SE +/- 161.91, N = 3 SE +/- 186.90, N = 3 SE +/- 33.51, N = 3 SE +/- 172.31, N = 3 SE +/- 475.71, N = 3 315560 123976 213997 198382 86542 188110 199660 205428 140648 140417 90286 134389 178446 102954 153440 68317 72562 95409
Java JMH This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/s, More Is Better Java JMH Throughput Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20000M 40000M 60000M 80000M 100000M 17666508143.55 51266949678.15 30687178999.18 36809450548.62 80500396106.47 28623768615.24 27809283196.20 26927010708.23 38875182524.83 35580241573.98 56669628391.70 39729127568.60 27489634774.25 54540585452.62 34401257374.14 78444159112.46 68371256990.99 52478665956.82
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Sharpen Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.20, N = 5 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.40, N = 5 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.25, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 18 54 31 38 82 23 22 21 30 29 44 31 23 41 27 60 55 43 1. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 16.79 11.29 14.95 17.05 9.91 5.14 5.83 5.95 4.07 4.14 4.25 3.77 5.76 4.76 4.95 3.88 4.47 4.34 MIN: 11.18 / MAX: 27.49 MIN: 8.83 / MAX: 63.89 MIN: 8.75 / MAX: 26.21 MIN: 8.59 / MAX: 22.8 MIN: 4.05 / MAX: 56.72 MIN: 3.05 / MAX: 13.99 MIN: 3.32 / MAX: 14.43 MIN: 3.45 / MAX: 40.79 MIN: 2.51 / MAX: 22.69 MIN: 2.67 / MAX: 14.66 MIN: 2.34 / MAX: 68.49 MIN: 2.32 / MAX: 9.63 MIN: 2.99 / MAX: 52.04 MIN: 2.78 / MAX: 9.86 MIN: 2.89 / MAX: 53.45 MIN: 2.41 / MAX: 11.3 MIN: 2.53 / MAX: 67.27 MIN: 2.6 / MAX: 15.38 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 0.04, N = 3 SE +/- 0.39, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.72, N = 4 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 4 SE +/- 0.04, N = 3 SE +/- 1.01, N = 3 SE +/- 0.26, N = 3 SE +/- 0.27, N = 3 SE +/- 0.36, N = 4 SE +/- 0.30, N = 4 SE +/- 0.06, N = 3 89.20 217.03 146.15 178.96 335.42 146.99 138.29 134.10 190.94 184.83 296.91 205.61 149.14 253.30 171.85 402.16 366.14 277.30 1. (CXX) g++ options: -O3 -flto -pthread
LuxCoreRender LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.1813 2.3626 3.5439 4.7252 5.9065 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 9 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.17 2.91 1.78 2.00 4.27 2.05 1.97 1.93 2.65 2.62 3.99 2.81 2.15 3.43 2.50 5.25 5.04 3.81 MIN: 1.12 / MAX: 1.22 MIN: 2.84 / MAX: 3.09 MIN: 1.62 / MAX: 1.97 MIN: 1.83 / MAX: 2.55 MIN: 4.16 / MAX: 4.76 MIN: 2 / MAX: 2.11 MIN: 1.91 / MAX: 2.03 MIN: 1.87 / MAX: 1.98 MIN: 2.59 / MAX: 2.74 MIN: 2.56 / MAX: 2.71 MIN: 3.89 / MAX: 4.18 MIN: 2.73 / MAX: 2.91 MIN: 2.1 / MAX: 2.22 MIN: 3.34 / MAX: 3.59 MIN: 2.43 / MAX: 2.59 MIN: 5.14 / MAX: 5.54 MIN: 4.91 / MAX: 5.33 MIN: 3.71 / MAX: 3.99
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.38.2 VGR Performance Metric Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 100K 200K 300K 400K 500K 101365 307025 176199 194152 453678 167207 166400 165587 218755 214855 312603 233058 177511 270640 215405 419580 396249 298418 1. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 6.0 Mode: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10K 20K 30K 40K 50K SE +/- 86.64, N = 3 SE +/- 64.63, N = 3 SE +/- 101.44, N = 3 SE +/- 81.22, N = 3 SE +/- 247.43, N = 3 SE +/- 44.03, N = 3 SE +/- 33.62, N = 3 SE +/- 5.67, N = 3 SE +/- 52.40, N = 3 SE +/- 5.67, N = 3 SE +/- 16.67, N = 3 SE +/- 59.77, N = 3 SE +/- 34.51, N = 3 SE +/- 53.51, N = 3 SE +/- 30.35, N = 3 SE +/- 155.97, N = 3 SE +/- 140.57, N = 3 SE +/- 11.33, N = 3 10532 26826 16140 17855 39961 17439 16631 16217 23072 23385 35560 24026 18385 30846 21412 46952 45991 34457
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 110 220 330 440 550 SE +/- 0.90, N = 3 SE +/- 0.99, N = 3 SE +/- 1.46, N = 3 SE +/- 1.80, N = 3 SE +/- 0.70, N = 3 SE +/- 0.15, N = 3 SE +/- 1.89, N = 5 SE +/- 0.41, N = 3 SE +/- 0.13, N = 3 SE +/- 0.27, N = 3 SE +/- 0.40, N = 3 SE +/- 0.31, N = 3 SE +/- 0.01, N = 3 SE +/- 0.45, N = 3 SE +/- 0.06, N = 3 SE +/- 2.34, N = 3 SE +/- 0.25, N = 3 SE +/- 0.46, N = 3 119.52 240.84 160.68 163.54 356.79 187.83 189.10 185.52 245.40 293.11 398.72 256.82 216.30 340.81 237.22 478.56 529.18 393.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 18.16, N = 4 SE +/- 34.65, N = 3 SE +/- 56.87, N = 3 SE +/- 28.52, N = 3 SE +/- 74.93, N = 3 SE +/- 49.60, N = 4 SE +/- 47.35, N = 3 SE +/- 26.78, N = 3 SE +/- 53.33, N = 3 SE +/- 109.35, N = 4 SE +/- 208.89, N = 3 SE +/- 59.02, N = 3 SE +/- 33.13, N = 3 SE +/- 98.50, N = 3 SE +/- 39.42, N = 3 SE +/- 137.22, N = 3 SE +/- 180.38, N = 3 SE +/- 87.70, N = 4 3105.60 4902.90 2896.26 3311.98 6384.36 6199.50 4017.37 3962.71 6453.22 10605.20 11934.40 6787.11 4439.52 10736.20 4232.92 11169.20 12804.90 11839.40 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Super Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.42, N = 4 SE +/- 0.13, N = 6 SE +/- 0.40, N = 15 SE +/- 0.87, N = 15 SE +/- 0.96, N = 9 SE +/- 0.04, N = 5 SE +/- 0.06, N = 5 SE +/- 0.06, N = 5 SE +/- 0.05, N = 6 SE +/- 0.05, N = 6 SE +/- 0.11, N = 7 SE +/- 0.08, N = 6 SE +/- 0.05, N = 5 SE +/- 0.05, N = 7 SE +/- 0.03, N = 5 SE +/- 0.09, N = 8 SE +/- 0.13, N = 8 SE +/- 0.04, N = 7 34.39 86.41 54.98 63.02 121.14 62.10 59.82 58.37 80.10 76.68 111.54 86.49 61.54 97.53 71.64 150.51 135.06 105.20
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.36, N = 5 SE +/- 0.11, N = 6 SE +/- 0.37, N = 15 SE +/- 0.82, N = 15 SE +/- 1.08, N = 7 SE +/- 0.03, N = 5 SE +/- 0.04, N = 5 SE +/- 0.02, N = 5 SE +/- 0.06, N = 6 SE +/- 0.04, N = 6 SE +/- 0.09, N = 7 SE +/- 0.09, N = 6 SE +/- 0.06, N = 5 SE +/- 0.06, N = 6 SE +/- 0.06, N = 5 SE +/- 0.07, N = 8 SE +/- 0.08, N = 8 SE +/- 0.06, N = 7 32.78 81.43 52.35 59.46 116.26 59.47 57.31 55.98 75.87 72.97 102.76 81.76 59.01 89.81 67.78 142.79 128.22 96.27
LuxCoreRender LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 9 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 1.89 4.69 2.86 3.21 6.85 3.30 3.17 3.09 4.31 4.27 6.31 4.55 3.48 5.48 4.04 8.22 7.84 6.03 MIN: 1.84 / MAX: 1.99 MIN: 4.43 / MAX: 4.86 MIN: 2.67 / MAX: 3.14 MIN: 3.02 / MAX: 4 MIN: 6.16 / MAX: 7.59 MIN: 3.26 / MAX: 3.32 MIN: 3.13 / MAX: 3.2 MIN: 3.06 / MAX: 3.13 MIN: 4.23 / MAX: 4.37 MIN: 4.21 / MAX: 4.33 MIN: 5.77 / MAX: 6.51 MIN: 4.43 / MAX: 4.61 MIN: 3.43 / MAX: 3.52 MIN: 5.13 / MAX: 5.62 MIN: 4 / MAX: 4.07 MIN: 7.33 / MAX: 8.69 MIN: 6.98 / MAX: 8.3 MIN: 5.56 / MAX: 6.19
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 23.28, N = 4 SE +/- 29.43, N = 3 SE +/- 24.88, N = 3 SE +/- 20.01, N = 3 SE +/- 65.30, N = 3 SE +/- 0.00, N = 4 SE +/- 41.85, N = 3 SE +/- 21.30, N = 3 SE +/- 0.00, N = 3 SE +/- 76.36, N = 4 SE +/- 84.09, N = 3 SE +/- 0.00, N = 3 SE +/- 26.78, N = 3 SE +/- 0.00, N = 3 SE +/- 20.39, N = 3 SE +/- 71.40, N = 3 SE +/- 77.53, N = 3 SE +/- 111.92, N = 4 2535.87 4517.03 2596.74 3041.27 6672.35 4799.92 3536.27 3556.82 5247.91 8332.12 9923.93 5831.01 3989.48 9153.34 4016.47 10567.20 11010.70 9545.56 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.8 Build: allmodconfig Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 600 1200 1800 2400 3000 SE +/- 1.10, N = 3 SE +/- 1.07, N = 3 SE +/- 4.26, N = 3 SE +/- 0.64, N = 3 SE +/- 0.18, N = 3 SE +/- 0.46, N = 3 SE +/- 0.32, N = 3 SE +/- 0.84, N = 3 SE +/- 0.29, N = 3 SE +/- 0.44, N = 3 SE +/- 0.39, N = 3 SE +/- 0.16, N = 3 SE +/- 0.38, N = 3 SE +/- 1.15, N = 3 SE +/- 0.61, N = 3 SE +/- 0.29, N = 3 SE +/- 0.31, N = 3 SE +/- 0.58, N = 3 2919.99 1035.68 1852.92 1619.09 701.34 1755.65 1827.91 1874.59 1346.23 1334.29 876.06 1283.92 1652.64 1010.93 1448.60 674.26 692.79 912.07
Parallel BZIP2 Compression This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Parallel BZIP2 Compression 1.1.13 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.144574, N = 4 SE +/- 0.039958, N = 10 SE +/- 0.046479, N = 6 SE +/- 0.061770, N = 15 SE +/- 0.024945, N = 15 SE +/- 0.067964, N = 7 SE +/- 0.035153, N = 6 SE +/- 0.048860, N = 6 SE +/- 0.051420, N = 7 SE +/- 0.014551, N = 7 SE +/- 0.031040, N = 9 SE +/- 0.035415, N = 7 SE +/- 0.031212, N = 6 SE +/- 0.022690, N = 8 SE +/- 0.024908, N = 7 SE +/- 0.022594, N = 10 SE +/- 0.021756, N = 9 SE +/- 0.027873, N = 8 12.818758 5.092442 7.666471 6.104789 3.110386 7.707316 8.048495 8.231326 5.851397 6.098288 3.836622 5.612733 7.343673 4.276185 6.249200 2.970384 3.181056 4.142315 1. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.0290, N = 3 SE +/- 0.0062, N = 3 SE +/- 0.1419, N = 3 SE +/- 0.1283, N = 7 SE +/- 0.0425, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0116, N = 3 SE +/- 0.0043, N = 3 SE +/- 0.0043, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.0195, N = 3 SE +/- 0.0135, N = 3 SE +/- 0.0131, N = 3 SE +/- 0.0145, N = 3 SE +/- 0.0087, N = 3 SE +/- 0.0685, N = 3 SE +/- 0.0259, N = 3 SE +/- 0.0091, N = 3 7.9758 21.2325 12.6339 14.4284 33.5102 13.4719 13.2731 12.9111 17.5726 18.5756 26.0998 18.0795 14.0167 23.8678 17.1179 33.0153 34.4128 26.4036 MIN: 7.89 / MAX: 8.25 MIN: 21.06 / MAX: 21.59 MIN: 12.27 / MAX: 14.85 MIN: 14.09 / MAX: 18.24 MIN: 32.74 / MAX: 34.28 MIN: 13.41 / MAX: 13.68 MIN: 13.21 / MAX: 13.41 MIN: 12.87 / MAX: 13.01 MIN: 17.5 / MAX: 17.82 MIN: 18.43 / MAX: 18.94 MIN: 25.96 / MAX: 26.38 MIN: 17.98 / MAX: 18.33 MIN: 13.94 / MAX: 14.18 MIN: 23.76 / MAX: 24.06 MIN: 17.06 / MAX: 17.27 MIN: 32.71 / MAX: 33.43 MIN: 34.2 / MAX: 34.77 MIN: 26.28 / MAX: 26.69
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.42, N = 4 SE +/- 0.64, N = 7 SE +/- 0.46, N = 15 SE +/- 1.18, N = 15 SE +/- 1.26, N = 15 SE +/- 0.04, N = 5 SE +/- 0.08, N = 5 SE +/- 0.05, N = 5 SE +/- 0.12, N = 6 SE +/- 0.10, N = 6 SE +/- 0.12, N = 8 SE +/- 0.06, N = 7 SE +/- 0.04, N = 5 SE +/- 0.07, N = 7 SE +/- 0.07, N = 6 SE +/- 0.19, N = 9 SE +/- 0.15, N = 8 SE +/- 0.14, N = 7 39.58 100.74 64.56 74.63 142.56 70.51 68.08 66.38 92.33 88.47 127.22 99.60 69.98 111.46 82.59 169.38 151.65 120.24
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90M 180M 270M 360M 450M SE +/- 1154545.51, N = 4 SE +/- 687176.19, N = 3 SE +/- 1403194.21, N = 5 SE +/- 1265535.44, N = 9 SE +/- 1948335.47, N = 3 SE +/- 98657.66, N = 3 SE +/- 156773.01, N = 3 SE +/- 107289.85, N = 3 SE +/- 75055.53, N = 3 SE +/- 146401.28, N = 3 SE +/- 557882.90, N = 3 SE +/- 135030.86, N = 3 SE +/- 71724.78, N = 3 SE +/- 121974.50, N = 3 SE +/- 56075.35, N = 3 SE +/- 417252.92, N = 3 SE +/- 363455.64, N = 3 SE +/- 96436.51, N = 3 99502000 217293333 127998000 155327778 321443333 156150000 151143333 146853333 205240000 202760000 309880000 217590000 154656667 273976667 185283333 424100000 395970000 303470000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
C-Ray OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 2.0 Resolution: 4K - Rays Per Pixel: 16 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 100 200 300 400 500 SE +/- 0.38, N = 3 SE +/- 1.01, N = 3 SE +/- 1.04, N = 3 SE +/- 0.90, N = 3 SE +/- 0.28, N = 3 SE +/- 0.09, N = 3 SE +/- 0.45, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 461.65 172.42 298.43 253.69 118.97 297.74 306.57 315.16 228.25 244.12 145.21 213.96 281.80 171.48 236.99 108.40 116.85 155.33 1. (CC) gcc options: -lpthread -lm
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 130 260 390 520 650 596.72 249.34 400.66 362.86 178.43 339.11 359.48 369.57 262.38 261.12 177.52 249.11 322.99 201.90 284.53 140.70 146.21 184.44
C-Ray OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 2.0 Resolution: 1080p - Rays Per Pixel: 16 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.17, N = 3 SE +/- 0.50, N = 3 SE +/- 0.67, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 114.81 43.39 72.96 62.21 29.41 74.72 76.72 78.90 57.08 61.00 36.32 53.55 70.66 42.91 59.29 27.18 29.29 38.95 1. (CC) gcc options: -lpthread -lm
Whisper.cpp OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.6.2 Model: ggml-base.en - Input: 2016 State of the Union Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.20, N = 3 SE +/- 0.21, N = 3 SE +/- 1.47, N = 3 SE +/- 0.53, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 198.59 216.64 337.26 275.43 157.82 131.60 132.65 137.09 105.31 106.66 121.67 100.14 213.49 94.19 175.69 80.18 108.98 91.66 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 1.42, N = 3 SE +/- 0.70, N = 3 SE +/- 1.53, N = 3 SE +/- 2.48, N = 3 SE +/- 0.66, N = 3 SE +/- 0.76, N = 4 SE +/- 0.60, N = 3 SE +/- 0.81, N = 3 SE +/- 0.27, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.66, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 206.42 139.23 178.34 206.50 129.18 63.08 64.97 65.57 52.06 51.86 52.53 49.27 72.12 59.98 55.10 58.13 56.06 52.85 MIN: 124.98 / MAX: 227.01 MIN: 113.05 / MAX: 291.07 MIN: 82.5 / MAX: 258.49 MIN: 94.94 / MAX: 289.77 MIN: 88.12 / MAX: 292.14 MIN: 34.17 / MAX: 76.53 MIN: 46.75 / MAX: 72 MIN: 47.71 / MAX: 73.15 MIN: 24.83 / MAX: 57.71 MIN: 41.44 / MAX: 57.05 MIN: 28.05 / MAX: 111.29 MIN: 24.56 / MAX: 57.07 MIN: 47.21 / MAX: 97.36 MIN: 38.36 / MAX: 69.17 MIN: 27.46 / MAX: 121.52 MIN: 29.01 / MAX: 68.94 MIN: 31.28 / MAX: 100.89 MIN: 26.86 / MAX: 65.79 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15 30 45 60 75 SE +/- 0.19, N = 3 SE +/- 0.15, N = 4 SE +/- 0.19, N = 9 SE +/- 0.26, N = 14 SE +/- 0.42, N = 4 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 3 SE +/- 0.05, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.04, N = 4 SE +/- 0.05, N = 3 SE +/- 0.06, N = 5 SE +/- 0.05, N = 5 SE +/- 0.05, N = 4 15.73 38.69 24.06 26.49 50.16 29.92 28.77 28.12 36.47 35.45 49.69 39.90 29.10 43.69 33.26 65.92 58.67 46.29 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.2 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.207 0.414 0.621 0.828 1.035 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.22 0.54 0.33 0.36 0.78 0.36 0.36 0.35 0.48 0.46 0.72 0.50 0.38 0.64 0.46 0.92 0.88 0.68
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 324.79 129.20 216.72 196.37 90.24 209.14 216.07 222.21 159.08 161.71 103.76 149.96 199.04 121.28 167.03 77.84 82.89 109.55
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 8 - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15 30 45 60 75 SE +/- 0.22, N = 3 SE +/- 0.08, N = 4 SE +/- 0.15, N = 13 SE +/- 0.28, N = 13 SE +/- 0.45, N = 4 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 4 SE +/- 0.05, N = 4 SE +/- 0.07, N = 4 SE +/- 0.04, N = 4 SE +/- 0.01, N = 3 SE +/- 0.03, N = 4 SE +/- 0.02, N = 3 SE +/- 0.18, N = 5 SE +/- 0.22, N = 5 SE +/- 0.06, N = 4 16.71 38.20 23.59 26.36 51.14 31.83 30.38 29.81 39.75 39.38 56.38 42.50 31.58 48.73 35.49 69.08 63.15 53.29 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Medium Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.07, N = 4 SE +/- 0.25, N = 3 SE +/- 0.05, N = 3 SE +/- 0.25, N = 5 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.02, N = 3 SE +/- 0.13, N = 5 SE +/- 0.05, N = 4 SE +/- 0.21, N = 3 SE +/- 0.07, N = 4 SE +/- 0.17, N = 3 SE +/- 0.05, N = 5 SE +/- 0.43, N = 5 SE +/- 0.02, N = 4 38.53 89.56 60.35 73.99 136.79 57.70 55.42 54.10 74.97 72.03 116.52 80.69 57.97 99.07 68.79 158.57 142.89 108.70 1. (CXX) g++ options: -O3 -flto -pthread
Timed LLVM Compilation This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 0.30, N = 3 SE +/- 0.60, N = 3 SE +/- 2.19, N = 3 SE +/- 0.70, N = 3 SE +/- 0.48, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 SE +/- 0.38, N = 3 SE +/- 0.39, N = 3 SE +/- 0.11, N = 3 SE +/- 0.30, N = 3 SE +/- 0.29, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 1327.19 492.59 880.00 758.37 337.02 797.31 848.63 869.23 624.42 603.53 411.99 605.35 762.06 457.69 679.32 331.31 326.15 416.02
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Medium Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 13 26 39 52 65 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 7 SE +/- 0.19, N = 14 SE +/- 0.19, N = 4 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 3 SE +/- 0.02, N = 4 SE +/- 0.02, N = 3 SE +/- 0.02, N = 5 SE +/- 0.06, N = 5 SE +/- 0.04, N = 4 14.48 35.23 22.27 23.95 45.91 25.66 24.62 23.91 33.74 32.38 45.73 36.18 25.34 40.26 30.18 58.92 52.84 42.76
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.0413, N = 3 SE +/- 0.0310, N = 3 SE +/- 0.1876, N = 3 SE +/- 0.1287, N = 8 SE +/- 0.0457, N = 3 SE +/- 0.0070, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0141, N = 3 SE +/- 0.0039, N = 3 SE +/- 0.0160, N = 3 SE +/- 0.0194, N = 3 SE +/- 0.0156, N = 3 SE +/- 0.0154, N = 3 SE +/- 0.0343, N = 3 SE +/- 0.0036, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0381, N = 3 SE +/- 0.0077, N = 3 9.1913 22.9559 13.7781 15.5712 35.4608 15.0336 14.7551 14.3977 19.5697 20.8596 28.9153 20.2069 15.6547 26.4052 18.8593 34.9237 37.3099 29.4096 MIN: 9.06 / MAX: 9.59 MIN: 22.71 / MAX: 23.34 MIN: 13.34 / MAX: 16.33 MIN: 15.18 / MAX: 19.9 MIN: 34.91 / MAX: 36.6 MIN: 14.96 / MAX: 15.29 MIN: 14.69 / MAX: 14.94 MIN: 14.31 / MAX: 14.58 MIN: 19.47 / MAX: 19.85 MIN: 20.72 / MAX: 21.21 MIN: 28.7 / MAX: 29.44 MIN: 20.06 / MAX: 20.82 MIN: 15.55 / MAX: 15.95 MIN: 26.24 / MAX: 26.89 MIN: 18.78 / MAX: 19.08 MIN: 34.54 / MAX: 35.92 MIN: 37 / MAX: 38.11 MIN: 29.24 / MAX: 29.79
QuantLib OpenBenchmarking.org tasks/s, More Is Better QuantLib 1.35-dev Size: XXS Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.00037, N = 3 SE +/- 0.02944, N = 3 SE +/- 0.01444, N = 3 SE +/- 0.00865, N = 3 SE +/- 0.05472, N = 3 SE +/- 0.00151, N = 3 SE +/- 0.00122, N = 3 SE +/- 0.00226, N = 3 SE +/- 0.00707, N = 3 SE +/- 0.00232, N = 3 SE +/- 0.02428, N = 3 SE +/- 0.01290, N = 3 SE +/- 0.00158, N = 3 SE +/- 0.00547, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.01885, N = 3 SE +/- 0.00788, N = 3 SE +/- 0.01612, N = 3 3.80033 9.78786 5.79281 6.61823 13.46830 6.59170 6.22330 6.09692 8.11736 8.56478 12.18100 8.57277 6.89831 10.50360 7.50658 14.48010 15.39310 12.39080 1. (CXX) g++ options: -O3 -march=native -fPIE -pie
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 9.39, N = 5 SE +/- 31.17, N = 6 SE +/- 27.55, N = 5 SE +/- 27.10, N = 6 SE +/- 52.07, N = 10 SE +/- 21.17, N = 6 SE +/- 15.04, N = 15 SE +/- 9.87, N = 5 SE +/- 22.53, N = 13 SE +/- 73.72, N = 15 SE +/- 32.71, N = 6 SE +/- 17.60, N = 6 SE +/- 19.97, N = 6 SE +/- 24.49, N = 6 SE +/- 11.73, N = 5 SE +/- 28.35, N = 6 SE +/- 27.05, N = 7 SE +/- 59.11, N = 15 2067.37 4402.03 2864.03 3322.39 6865.78 3055.29 2169.65 2126.83 3346.10 8330.40 5088.74 3308.00 2611.11 5024.30 2398.93 6006.45 7169.06 5788.28 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
uvg266 OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Slow Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 12 24 36 48 60 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.22, N = 5 SE +/- 0.15, N = 13 SE +/- 0.12, N = 4 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 4 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 4 SE +/- 0.08, N = 3 SE +/- 0.08, N = 5 SE +/- 0.05, N = 4 SE +/- 0.01, N = 4 13.31 32.39 20.58 21.89 41.88 23.52 22.56 21.98 31.06 29.78 41.71 33.34 23.24 36.75 27.71 53.63 48.03 39.09
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 16.98 12.26 16.07 17.84 12.02 5.83 7.12 7.17 4.73 4.65 5.13 4.43 6.12 5.64 5.86 4.77 5.24 5.22 MIN: 10.21 / MAX: 27.34 MIN: 6.12 / MAX: 63.37 MIN: 8.57 / MAX: 27.9 MIN: 9.73 / MAX: 24.57 MIN: 5.77 / MAX: 59.29 MIN: 3.97 / MAX: 13.49 MIN: 4.41 / MAX: 12.23 MIN: 5.03 / MAX: 11.84 MIN: 3.18 / MAX: 7.94 MIN: 3.73 / MAX: 9.98 MIN: 3.11 / MAX: 16.74 MIN: 3.09 / MAX: 7.39 MIN: 3.89 / MAX: 16.78 MIN: 4.26 / MAX: 9.75 MIN: 3.9 / MAX: 15.89 MIN: 3.28 / MAX: 8.36 MIN: 3.44 / MAX: 27.54 MIN: 3.61 / MAX: 9.9 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 220.83, N = 3 SE +/- 243.48, N = 3 SE +/- 183.08, N = 3 SE +/- 719.62, N = 3 SE +/- 212.56, N = 3 SE +/- 6.35, N = 3 SE +/- 94.51, N = 3 SE +/- 66.00, N = 3 SE +/- 51.11, N = 3 SE +/- 115.03, N = 3 SE +/- 35.39, N = 3 SE +/- 49.06, N = 3 SE +/- 46.26, N = 3 SE +/- 163.91, N = 3 SE +/- 112.07, N = 3 SE +/- 654.86, N = 3 SE +/- 400.86, N = 3 SE +/- 42.95, N = 3 44454.66 123069.44 71134.72 79162.47 178076.81 69171.18 62245.52 61443.66 88638.83 93500.95 126881.07 93320.95 67147.41 113213.91 77202.02 157947.73 160717.78 124497.13 -std=c99 -O2 -std=c99 -O2 -std=c99 -O2 -std=c99 -O2 -std=c99 -O2 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl
JPEG-XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 100 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.024, N = 3 SE +/- 0.099, N = 3 SE +/- 0.141, N = 3 SE +/- 0.110, N = 8 SE +/- 0.342, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.013, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.036, N = 3 SE +/- 0.050, N = 3 SE +/- 0.017, N = 3 7.391 19.142 11.963 13.210 27.782 12.959 12.283 11.874 16.564 15.700 22.652 17.284 12.651 20.720 14.590 29.570 26.898 21.563 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.2 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.099 0.198 0.297 0.396 0.495 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.11 0.27 0.16 0.18 0.38 0.17 0.17 0.17 0.23 0.22 0.34 0.24 0.18 0.30 0.22 0.44 0.42 0.32
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.8061 1.6122 2.4183 3.2244 4.0305 SE +/- 0.004818, N = 3 SE +/- 0.005903, N = 3 SE +/- 0.011434, N = 3 SE +/- 0.015543, N = 3 SE +/- 0.010151, N = 3 SE +/- 0.000918, N = 3 SE +/- 0.000412, N = 3 SE +/- 0.000381, N = 3 SE +/- 0.001755, N = 3 SE +/- 0.000161, N = 3 SE +/- 0.019959, N = 4 SE +/- 0.001889, N = 3 SE +/- 0.000579, N = 3 SE +/- 0.001070, N = 3 SE +/- 0.005533, N = 3 SE +/- 0.004705, N = 3 SE +/- 0.011419, N = 15 SE +/- 0.001234, N = 3 0.959986 2.013570 1.332370 1.365970 2.813690 1.589330 1.519320 1.488780 2.009650 2.151100 1.601440 2.128100 0.896666 2.559120 1.062870 3.582830 1.804300 2.792280 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 5.20, N = 3 SE +/- 1.45, N = 3 SE +/- 6.39, N = 3 SE +/- 8.24, N = 3 SE +/- 1.29, N = 3 SE +/- 0.36, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.43, N = 3 SE +/- 0.03, N = 3 SE +/- 7.83, N = 4 SE +/- 0.42, N = 3 SE +/- 0.72, N = 3 SE +/- 0.16, N = 3 SE +/- 4.88, N = 3 SE +/- 0.37, N = 3 SE +/- 3.43, N = 15 SE +/- 0.16, N = 3 1041.73 496.64 750.65 732.27 355.41 629.19 658.19 671.69 497.60 464.88 624.71 469.90 1115.24 390.76 940.90 279.11 554.53 358.13 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 207.74, N = 3 SE +/- 254.73, N = 3 SE +/- 477.73, N = 3 SE +/- 711.11, N = 3 SE +/- 806.17, N = 3 SE +/- 105.38, N = 3 SE +/- 91.97, N = 3 SE +/- 72.75, N = 3 SE +/- 22.93, N = 3 SE +/- 15.84, N = 3 SE +/- 109.20, N = 3 SE +/- 45.90, N = 3 SE +/- 40.86, N = 3 SE +/- 71.22, N = 3 SE +/- 22.86, N = 3 SE +/- 133.67, N = 3 SE +/- 97.96, N = 3 SE +/- 74.01, N = 3 46272.26 128963.56 72893.54 80614.03 184816.78 71928.92 65998.55 64931.47 93087.72 95328.17 135846.30 98683.20 69755.66 117370.00 83264.84 174969.21 165662.13 126604.25 -std=c99 -O2 -std=c99 -O2 -std=c99 -O2 -std=c99 -O2 -std=c99 -O2 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 0.20, N = 6 SE +/- 0.16, N = 14 SE +/- 0.37, N = 6 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 4 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 4 SE +/- 0.06, N = 4 SE +/- 0.06, N = 4 12.65 30.85 19.41 21.15 39.90 24.14 23.01 22.57 29.37 28.40 39.42 31.93 23.55 34.82 26.57 50.31 45.00 36.66 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
JPEG-XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 100 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.027, N = 3 SE +/- 0.027, N = 3 SE +/- 0.157, N = 3 SE +/- 0.109, N = 8 SE +/- 0.281, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.011, N = 3 SE +/- 0.011, N = 3 SE +/- 0.015, N = 3 SE +/- 0.020, N = 3 SE +/- 0.015, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.043, N = 3 SE +/- 0.021, N = 3 SE +/- 0.013, N = 3 7.333 19.062 11.889 13.110 27.155 12.850 12.181 11.772 16.499 15.657 22.496 17.228 12.563 20.539 14.496 29.072 26.285 21.400 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 32 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300M 600M 900M 1200M 1500M SE +/- 3821667.76, N = 3 SE +/- 1451818.78, N = 3 SE +/- 6483625.99, N = 5 SE +/- 5519008.06, N = 9 SE +/- 3501904.24, N = 3 SE +/- 1218578.41, N = 3 SE +/- 357631.09, N = 3 SE +/- 120968.32, N = 3 SE +/- 277368.59, N = 3 SE +/- 774087.28, N = 3 SE +/- 4204891.33, N = 3 SE +/- 866031.82, N = 3 SE +/- 891465.71, N = 3 SE +/- 834272.80, N = 3 SE +/- 727583.52, N = 3 SE +/- 1451818.78, N = 3 SE +/- 2260530.91, N = 3 SE +/- 1266666.67, N = 3 380076667 1004866667 583616000 668020000 1498100000 542720000 516600000 500740000 720130000 701646667 1064766667 753443333 526863333 974526667 638876667 1480633333 1381600000 1063366667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Enhanced Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 25 66 40 48 98 38 36 35 49 48 71 51 37 67 44 98 88 71 1. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.3 Algorithm: RSA4096 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80K 160K 240K 320K 400K SE +/- 482.29, N = 3 SE +/- 1636.02, N = 3 SE +/- 1180.41, N = 3 SE +/- 20.24, N = 9 SE +/- 906.72, N = 3 SE +/- 245.88, N = 3 SE +/- 112.09, N = 3 SE +/- 55.28, N = 3 SE +/- 178.37, N = 3 SE +/- 71.59, N = 3 SE +/- 769.22, N = 3 SE +/- 329.79, N = 3 SE +/- 323.73, N = 3 SE +/- 262.50, N = 3 SE +/- 110.97, N = 3 SE +/- 637.71, N = 3 SE +/- 502.93, N = 3 SE +/- 277.64, N = 3 99855.4 233617.1 147820.0 162403.6 330864.3 144881.6 136653.3 132830.7 193242.2 181261.5 291492.8 197800.3 141617.8 269274.7 181087.3 390553.3 373708.4 276165.0 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 1.66, N = 3 SE +/- 3.83, N = 3 SE +/- 3.55, N = 3 SE +/- 3.36, N = 3 SE +/- 5.05, N = 3 SE +/- 1.88, N = 3 SE +/- 2.24, N = 3 SE +/- 0.35, N = 3 SE +/- 0.54, N = 3 SE +/- 2.14, N = 3 SE +/- 1.88, N = 3 SE +/- 5.50, N = 3 SE +/- 4.38, N = 3 SE +/- 2.29, N = 3 SE +/- 1.81, N = 3 SE +/- 2.81, N = 3 SE +/- 26.42, N = 12 SE +/- 0.42, N = 3 459.96 699.42 521.04 587.11 973.78 670.80 631.96 621.35 756.55 1336.02 424.76 795.42 353.32 782.66 341.66 697.98 561.81 954.83 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.6581 1.3162 1.9743 2.6324 3.2905 SE +/- 0.007861, N = 3 SE +/- 0.007839, N = 3 SE +/- 0.013015, N = 3 SE +/- 0.009735, N = 3 SE +/- 0.005307, N = 3 SE +/- 0.004147, N = 3 SE +/- 0.005631, N = 3 SE +/- 0.000922, N = 3 SE +/- 0.000935, N = 3 SE +/- 0.001190, N = 3 SE +/- 0.010582, N = 3 SE +/- 0.008733, N = 3 SE +/- 0.034923, N = 3 SE +/- 0.003746, N = 3 SE +/- 0.014700, N = 3 SE +/- 0.005784, N = 3 SE +/- 0.065059, N = 12 SE +/- 0.000450, N = 3 2.173310 1.429080 1.918580 1.702100 1.026270 1.490160 1.581710 1.608780 1.321200 0.748136 2.353810 1.256730 2.830450 1.277140 2.924900 1.432210 1.812740 1.046940 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
Memcached Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better Memcached 1.6.19 Set To Get Ratio: 1:100 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.2M 2.4M 3.6M 4.8M 6M SE +/- 20939.64, N = 3 SE +/- 7551.70, N = 3 SE +/- 28605.31, N = 3 SE +/- 29777.43, N = 3 SE +/- 39749.84, N = 3 SE +/- 1093.32, N = 3 SE +/- 2884.07, N = 3 SE +/- 2198.67, N = 3 SE +/- 2411.17, N = 3 SE +/- 1174.76, N = 3 SE +/- 4870.85, N = 3 SE +/- 3939.68, N = 3 SE +/- 2503.88, N = 3 SE +/- 1702.24, N = 3 SE +/- 3971.10, N = 3 SE +/- 7466.14, N = 3 SE +/- 4793.69, N = 3 SE +/- 6903.95, N = 3 1451672.83 3993406.31 2380873.58 2560247.32 5403323.94 1519325.74 1434363.00 1387831.67 2008674.75 1926836.94 2857267.04 2081384.74 1482180.24 2658830.24 1791480.23 3959973.33 3770804.51 2817555.44 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Exhaustive Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.3901 0.7802 1.1703 1.5604 1.9505 SE +/- 0.0024, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0086, N = 3 SE +/- 0.0066, N = 6 SE +/- 0.0024, N = 3 SE +/- 0.0002, N = 3 SE +/- 0.0002, N = 3 SE +/- 0.0002, N = 3 SE +/- 0.0001, N = 3 SE +/- 0.0004, N = 3 SE +/- 0.0003, N = 3 SE +/- 0.0004, N = 3 SE +/- 0.0004, N = 3 SE +/- 0.0006, N = 3 SE +/- 0.0002, N = 3 SE +/- 0.0005, N = 3 SE +/- 0.0006, N = 3 SE +/- 0.0001, N = 3 0.4493 1.0284 0.6440 0.6778 1.4742 0.6323 0.6144 0.5971 0.8246 0.7834 1.2519 0.8773 0.6229 1.0927 0.7517 1.7336 1.5548 1.1890 1. (CXX) g++ options: -O3 -flto -pthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.26, N = 4 SE +/- 0.34, N = 4 SE +/- 0.26, N = 13 SE +/- 0.48, N = 15 SE +/- 0.27, N = 5 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 SE +/- 0.04, N = 4 SE +/- 0.03, N = 4 SE +/- 0.04, N = 4 SE +/- 0.05, N = 5 SE +/- 0.04, N = 5 SE +/- 0.02, N = 4 SE +/- 0.06, N = 5 SE +/- 0.02, N = 4 SE +/- 0.07, N = 6 SE +/- 0.09, N = 6 SE +/- 0.03, N = 5 22.02 52.09 33.38 36.82 71.10 40.75 39.23 38.43 48.93 47.56 63.83 53.57 39.48 56.49 44.77 84.84 75.77 59.08 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Timed Godot Game Engine Compilation This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 4.0 Time To Compile Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 150 300 450 600 750 SE +/- 0.15, N = 3 SE +/- 0.37, N = 3 SE +/- 1.17, N = 3 SE +/- 0.26, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.44, N = 3 SE +/- 0.05, N = 3 675.25 262.03 454.20 390.35 181.52 407.90 437.77 449.05 322.73 311.61 218.41 311.44 389.05 243.50 354.88 176.55 175.39 220.52
Memcached Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better Memcached 1.6.19 Set To Get Ratio: 1:10 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.2M 2.4M 3.6M 4.8M 6M SE +/- 17586.27, N = 3 SE +/- 8202.73, N = 3 SE +/- 18526.65, N = 3 SE +/- 17498.39, N = 3 SE +/- 49301.07, N = 3 SE +/- 1383.22, N = 3 SE +/- 977.60, N = 3 SE +/- 2469.87, N = 3 SE +/- 4059.12, N = 3 SE +/- 4125.60, N = 3 SE +/- 7696.50, N = 3 SE +/- 401.97, N = 3 SE +/- 1633.43, N = 3 SE +/- 3140.48, N = 3 SE +/- 1370.17, N = 3 SE +/- 10658.51, N = 3 SE +/- 7724.21, N = 3 SE +/- 1419.66, N = 3 1484216.10 4077502.17 2396531.66 2612888.76 5555552.29 1594919.62 1514514.17 1464256.13 2099008.38 2025043.50 2893476.20 2185059.40 1549792.63 2717208.40 1879222.81 3981036.61 3827279.76 2885088.00 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
CockroachDB CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30K 60K 90K 120K 150K SE +/- 21.85, N = 3 SE +/- 224.49, N = 3 SE +/- 115.39, N = 3 SE +/- 318.56, N = 3 SE +/- 141.39, N = 3 SE +/- 249.28, N = 3 SE +/- 304.87, N = 3 SE +/- 190.74, N = 3 SE +/- 235.48, N = 3 SE +/- 111.54, N = 3 SE +/- 151.05, N = 3 SE +/- 225.05, N = 3 SE +/- 75.14, N = 3 SE +/- 151.88, N = 3 SE +/- 51.52, N = 3 SE +/- 860.94, N = 3 SE +/- 205.04, N = 3 SE +/- 147.83, N = 3 41766.3 110934.2 61046.9 67435.9 158026.2 64600.9 58366.2 56469.6 83649.1 83760.8 98444.4 87099.8 61725.3 94302.5 69386.0 129993.2 125291.3 99762.0
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.8 Build: defconfig Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.58, N = 3 SE +/- 0.96, N = 3 SE +/- 0.28, N = 3 SE +/- 0.16, N = 3 SE +/- 0.58, N = 4 SE +/- 0.43, N = 3 SE +/- 0.53, N = 3 SE +/- 0.49, N = 3 SE +/- 0.33, N = 3 SE +/- 0.34, N = 3 SE +/- 0.30, N = 3 SE +/- 0.32, N = 3 SE +/- 0.35, N = 3 SE +/- 0.37, N = 3 SE +/- 0.49, N = 3 SE +/- 0.33, N = 3 SE +/- 0.34, N = 3 SE +/- 0.41, N = 3 206.28 79.86 132.87 117.39 54.85 128.04 133.41 137.41 100.30 99.65 67.68 95.47 120.38 77.39 107.90 54.53 56.15 71.00
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Very Thorough Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.6367 1.2734 1.9101 2.5468 3.1835 SE +/- 0.0068, N = 3 SE +/- 0.0067, N = 3 SE +/- 0.0101, N = 7 SE +/- 0.0103, N = 12 SE +/- 0.0107, N = 3 SE +/- 0.0002, N = 3 SE +/- 0.0002, N = 3 SE +/- 0.0006, N = 3 SE +/- 0.0006, N = 3 SE +/- 0.0010, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0009, N = 3 SE +/- 0.0004, N = 3 SE +/- 0.0010, N = 3 SE +/- 0.0003, N = 3 SE +/- 0.0028, N = 3 SE +/- 0.0030, N = 3 SE +/- 0.0014, N = 3 0.7495 1.6842 1.0762 1.1379 2.4049 1.0316 1.0019 0.9745 1.3449 1.2790 2.0525 1.4321 1.0170 1.7843 1.2259 2.8298 2.5399 1.9421 1. (CXX) g++ options: -O3 -flto -pthread
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Tomographic Model Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.34, N = 3 SE +/- 0.15, N = 3 SE +/- 1.24, N = 3 SE +/- 0.92, N = 3 SE +/- 0.29, N = 3 SE +/- 0.53, N = 3 SE +/- 0.36, N = 3 SE +/- 0.92, N = 3 SE +/- 0.65, N = 3 SE +/- 0.29, N = 3 SE +/- 0.46, N = 3 SE +/- 0.28, N = 3 SE +/- 0.27, N = 3 SE +/- 0.33, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 15 SE +/- 0.10, N = 3 97.63 51.71 88.35 73.25 31.94 60.28 65.18 65.15 47.50 45.99 33.15 45.17 57.43 37.84 51.47 26.50 26.17 34.07 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 1.68, N = 3 SE +/- 0.52, N = 3 SE +/- 1.60, N = 3 SE +/- 2.68, N = 3 SE +/- 0.89, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.48, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.13, N = 3 SE +/- 0.19, N = 3 SE +/- 0.28, N = 3 SE +/- 0.52, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 233.72 160.01 202.67 225.91 150.56 86.27 92.13 93.48 72.50 62.72 70.18 69.67 91.52 77.91 75.44 79.06 73.45 66.81 MIN: 157.16 / MAX: 253.32 MIN: 135.61 / MAX: 292.99 MIN: 162.86 / MAX: 250.52 MIN: 120.28 / MAX: 263.64 MIN: 109.87 / MAX: 306.89 MIN: 65.52 / MAX: 102 MIN: 69.89 / MAX: 101.41 MIN: 45.68 / MAX: 98.63 MIN: 52.23 / MAX: 83.8 MIN: 32.96 / MAX: 73.87 MIN: 41.08 / MAX: 106.33 MIN: 32.93 / MAX: 79.47 MIN: 43.07 / MAX: 134.54 MIN: 57.97 / MAX: 99.97 MIN: 39.07 / MAX: 100.82 MIN: 55.44 / MAX: 111.13 MIN: 36.32 / MAX: 114.52 MIN: 28.74 / MAX: 85.11 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 14.38, N = 5 SE +/- 28.45, N = 6 SE +/- 0.00, N = 5 SE +/- 35.40, N = 6 SE +/- 43.72, N = 10 SE +/- 92.25, N = 6 SE +/- 42.97, N = 15 SE +/- 67.19, N = 5 SE +/- 27.96, N = 13 SE +/- 23.48, N = 15 SE +/- 96.64, N = 6 SE +/- 19.93, N = 6 SE +/- 50.58, N = 6 SE +/- 147.27, N = 6 SE +/- 83.03, N = 5 SE +/- 45.87, N = 6 SE +/- 88.95, N = 7 SE +/- 82.01, N = 15 3081.93 6684.85 4590.62 5528.94 9443.56 5554.84 3572.96 3545.98 4084.10 9837.85 5796.75 4149.92 5607.67 5892.36 3395.45 6146.10 11438.50 9895.46 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Thorough Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.0003, N = 3 SE +/- 0.1126, N = 3 SE +/- 0.0075, N = 3 SE +/- 0.0040, N = 3 SE +/- 0.0386, N = 3 SE +/- 0.0018, N = 3 SE +/- 0.0055, N = 3 SE +/- 0.0066, N = 3 SE +/- 0.0039, N = 3 SE +/- 0.0077, N = 3 SE +/- 0.0297, N = 3 SE +/- 0.0030, N = 3 SE +/- 0.0114, N = 3 SE +/- 0.0071, N = 3 SE +/- 0.0098, N = 3 SE +/- 0.0197, N = 3 SE +/- 0.0177, N = 3 SE +/- 0.0071, N = 3 5.5943 12.3113 8.4356 10.3485 18.8090 7.4925 7.2859 7.0705 9.7529 9.3277 15.0242 10.4369 7.4362 12.9233 8.9085 20.6202 18.4614 14.0968 1. (CXX) g++ options: -O3 -flto -pthread
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Homogeneous Halfspace Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 1.07, N = 3 SE +/- 0.32, N = 3 SE +/- 0.94, N = 3 SE +/- 0.46, N = 3 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 SE +/- 0.45, N = 3 SE +/- 0.76, N = 3 SE +/- 0.42, N = 3 SE +/- 0.24, N = 3 SE +/- 0.29, N = 3 SE +/- 0.33, N = 3 SE +/- 0.19, N = 3 SE +/- 0.64, N = 3 SE +/- 0.23, N = 3 SE +/- 0.37, N = 4 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 123.96 64.93 112.50 93.23 39.94 74.72 79.93 83.25 58.42 57.47 43.45 56.56 71.23 48.32 65.41 34.21 33.87 42.24 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.003, N = 8 SE +/- 0.044, N = 10 SE +/- 0.044, N = 9 SE +/- 0.018, N = 10 SE +/- 0.169, N = 15 SE +/- 0.044, N = 15 SE +/- 0.004, N = 9 SE +/- 0.015, N = 9 SE +/- 0.007, N = 10 SE +/- 0.025, N = 10 SE +/- 0.041, N = 11 SE +/- 0.007, N = 10 SE +/- 0.090, N = 15 SE +/- 0.078, N = 11 SE +/- 0.014, N = 10 SE +/- 0.131, N = 15 SE +/- 0.092, N = 11 SE +/- 0.120, N = 15 4.854 10.154 6.455 8.237 17.734 6.529 6.469 6.267 8.501 8.417 12.848 9.001 5.933 11.337 8.211 16.672 16.189 12.242 1. (CXX) g++ options: -O3 -lm -ldl
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.007, N = 4 SE +/- 0.011, N = 8 SE +/- 0.006, N = 6 SE +/- 0.059, N = 15 SE +/- 0.004, N = 9 SE +/- 0.005, N = 6 SE +/- 0.014, N = 6 SE +/- 0.009, N = 6 SE +/- 0.005, N = 7 SE +/- 0.010, N = 7 SE +/- 0.017, N = 8 SE +/- 0.008, N = 7 SE +/- 0.011, N = 6 SE +/- 0.009, N = 8 SE +/- 0.010, N = 7 SE +/- 0.005, N = 9 SE +/- 0.006, N = 9 SE +/- 0.013, N = 8 11.731 4.653 6.983 5.870 3.219 6.948 7.093 7.351 5.637 5.783 4.035 5.281 6.926 4.589 6.132 3.315 3.516 4.236 1. (CXX) g++ options: -O3 -fPIC -lm
7-Zip Compression OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 24.05 Test: Compression Rating Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 324.66, N = 3 SE +/- 520.76, N = 3 SE +/- 466.82, N = 3 SE +/- 1261.53, N = 3 SE +/- 1169.68, N = 15 SE +/- 9.53, N = 3 SE +/- 142.69, N = 3 SE +/- 136.38, N = 3 SE +/- 164.79, N = 3 SE +/- 77.53, N = 3 SE +/- 111.20, N = 3 SE +/- 162.13, N = 3 SE +/- 141.47, N = 3 SE +/- 198.37, N = 3 SE +/- 167.68, N = 3 SE +/- 280.06, N = 3 SE +/- 370.77, N = 3 SE +/- 404.61, N = 3 51199 126641 82391 96179 179328 87164 84027 82295 109197 111620 150719 111521 89954 144060 104012 178984 186099 155092 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 3 - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.007, N = 3 SE +/- 0.010, N = 3 SE +/- 0.019, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 1.877 4.070 2.588 2.851 5.188 3.522 3.324 3.236 4.278 4.181 5.790 4.542 3.491 5.202 3.782 6.791 6.194 5.471 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
LuxCoreRender LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.06, N = 4 SE +/- 0.11, N = 3 SE +/- 0.08, N = 14 SE +/- 0.09, N = 5 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 SE +/- 0.01, N = 4 SE +/- 0.03, N = 4 SE +/- 0.03, N = 4 SE +/- 0.06, N = 3 SE +/- 0.03, N = 4 SE +/- 0.02, N = 4 SE +/- 0.06, N = 5 SE +/- 0.08, N = 5 SE +/- 0.05, N = 4 5.05 12.39 7.89 9.10 18.24 8.71 8.46 8.18 11.26 11.07 14.22 12.05 9.19 12.84 10.90 18.00 17.31 13.62 MIN: 4.76 / MAX: 5.12 MIN: 11.75 / MAX: 12.72 MIN: 7.37 / MAX: 8.21 MIN: 8.27 / MAX: 10.53 MIN: 17.39 / MAX: 19.05 MIN: 8.35 / MAX: 8.88 MIN: 8.03 / MAX: 8.53 MIN: 7.76 / MAX: 8.24 MIN: 10.61 / MAX: 11.5 MIN: 10.46 / MAX: 11.25 MIN: 13.14 / MAX: 14.45 MIN: 11.26 / MAX: 12.29 MIN: 8.65 / MAX: 9.37 MIN: 11.96 / MAX: 12.96 MIN: 10.21 / MAX: 11 MIN: 16.24 / MAX: 18.33 MIN: 15.78 / MAX: 17.8 MIN: 12.61 / MAX: 13.78
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.24, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 7.32 12.64 17.76 19.55 13.70 5.75 6.01 6.15 5.90 6.10 5.78 5.48 7.15 6.69 6.59 5.61 6.29 6.13 MIN: 4.29 / MAX: 24.36 MIN: 7.18 / MAX: 65.8 MIN: 9.85 / MAX: 139.34 MIN: 9.7 / MAX: 30.18 MIN: 7.09 / MAX: 76.44 MIN: 3.02 / MAX: 15.04 MIN: 3.18 / MAX: 15.6 MIN: 3.27 / MAX: 13.85 MIN: 3.05 / MAX: 14.56 MIN: 3.2 / MAX: 11.63 MIN: 2.92 / MAX: 97.47 MIN: 2.89 / MAX: 13.8 MIN: 3.01 / MAX: 44.65 MIN: 3.34 / MAX: 12.93 MIN: 3.35 / MAX: 74.54 MIN: 2.93 / MAX: 12.29 MIN: 3.08 / MAX: 106.7 MIN: 3.23 / MAX: 20.43 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.7732 1.5464 2.3196 3.0928 3.866 SE +/- 0.000342, N = 3 SE +/- 0.012631, N = 3 SE +/- 0.001041, N = 3 SE +/- 0.005547, N = 3 SE +/- 0.001741, N = 3 SE +/- 0.002326, N = 3 SE +/- 0.001160, N = 3 SE +/- 0.001414, N = 3 SE +/- 0.003354, N = 3 SE +/- 0.003909, N = 3 SE +/- 0.004236, N = 3 SE +/- 0.002865, N = 3 SE +/- 0.000871, N = 3 SE +/- 0.004684, N = 3 SE +/- 0.004192, N = 3 SE +/- 0.035575, N = 5 SE +/- 0.006552, N = 3 SE +/- 0.003971, N = 3 0.974177 2.198368 1.336707 1.574985 2.479776 1.454757 1.291444 1.252156 2.028715 1.957493 2.605196 2.114046 1.510668 2.425384 1.805628 3.436507 3.167167 2.387596 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Timed FFmpeg Compilation This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 7.0 Time To Compile Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.28, N = 3 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.84, N = 3 SE +/- 0.22, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 104.36 41.61 68.73 60.35 30.05 62.78 65.85 67.56 50.65 50.32 35.70 48.09 59.46 40.47 54.51 29.62 30.59 37.32
Y-Cruncher Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 13 26 39 52 65 SE +/- 0.47, N = 3 SE +/- 0.27, N = 3 SE +/- 0.57, N = 3 SE +/- 0.49, N = 4 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.26, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 59.27 32.23 47.61 44.42 23.04 30.26 30.87 31.64 24.95 24.73 18.33 23.69 31.03 20.09 27.70 16.91 16.85 18.55
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.33, N = 3 SE +/- 0.11, N = 3 SE +/- 0.35, N = 3 SE +/- 0.84, N = 3 SE +/- 0.36, N = 3 78.87 62.45 143.51 64.98 45.30 73.93 77.34 78.25 74.24 40.84 55.54 73.07 118.07 55.85 76.16 69.18 70.03 58.54 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 0 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 1.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 SE +/- 0.25, N = 3 SE +/- 0.18, N = 3 SE +/- 0.47, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 237.80 95.30 156.34 136.11 69.12 136.47 140.29 145.32 111.13 117.15 83.64 105.17 138.16 91.60 121.69 67.79 74.77 88.71 1. (CXX) g++ options: -O3 -fPIC -lm
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.8439 1.6878 2.5317 3.3756 4.2195 SE +/- 0.000636, N = 3 SE +/- 0.005959, N = 3 SE +/- 0.005363, N = 3 SE +/- 0.008505, N = 3 SE +/- 0.001293, N = 3 SE +/- 0.002955, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.003806, N = 3 SE +/- 0.001653, N = 3 SE +/- 0.004076, N = 3 SE +/- 0.004268, N = 3 SE +/- 0.005397, N = 3 SE +/- 0.001790, N = 3 SE +/- 0.004914, N = 3 SE +/- 0.003944, N = 3 SE +/- 0.027710, N = 11 SE +/- 0.032286, N = 7 SE +/- 0.012766, N = 3 1.072799 2.417466 1.482844 1.806802 2.696964 1.499247 1.344115 1.290130 2.124219 2.050928 2.810312 2.210665 1.564354 2.544878 1.905336 3.750771 3.570897 2.571578 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Timed Mesa Compilation This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 24.0 Time To Compile Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 13 26 39 52 65 SE +/- 0.33, N = 3 SE +/- 0.22, N = 3 SE +/- 0.46, N = 3 SE +/- 0.30, N = 7 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 58.33 23.41 38.54 33.54 16.70 36.01 37.94 38.96 28.68 28.59 20.27 27.52 33.84 22.60 31.19 16.68 16.98 21.12
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.2773 2.5546 3.8319 5.1092 6.3865 SE +/- 0.001927, N = 3 SE +/- 0.004620, N = 3 SE +/- 0.007330, N = 3 SE +/- 0.030388, N = 4 SE +/- 0.005985, N = 3 SE +/- 0.002256, N = 3 SE +/- 0.000848, N = 3 SE +/- 0.001729, N = 3 SE +/- 0.005851, N = 3 SE +/- 0.006381, N = 3 SE +/- 0.002570, N = 3 SE +/- 0.001466, N = 3 SE +/- 0.002131, N = 3 SE +/- 0.010513, N = 3 SE +/- 0.001420, N = 3 SE +/- 0.047705, N = 15 SE +/- 0.032687, N = 3 SE +/- 0.009186, N = 3 1.624101 3.674332 2.218102 2.757349 4.095295 2.236061 1.995941 1.916011 3.179738 3.073909 4.218647 3.331901 2.327445 3.795008 2.815243 5.676854 5.359810 3.856836 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 323.29 133.74 218.31 197.89 94.10 189.82 201.04 205.95 146.64 149.28 113.61 138.40 181.49 127.35 155.39 92.69 96.30 118.94
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.003, N = 3 SE +/- 0.028, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.089, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.021, N = 3 SE +/- 0.011, N = 3 SE +/- 0.009, N = 3 SE +/- 0.041, N = 3 SE +/- 0.029, N = 3 SE +/- 0.074, N = 8 SE +/- 0.224, N = 3 SE +/- 0.035, N = 3 SE +/- 0.032, N = 3 4.896 10.065 5.620 5.938 16.320 6.811 6.545 6.354 8.966 8.804 12.958 9.371 5.517 11.552 8.376 16.974 16.651 12.525 1. (CXX) g++ options: -O3 -lm -ldl
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 14.93 10.16 13.43 15.31 9.37 6.12 6.83 6.95 4.72 4.73 4.86 4.42 6.95 5.45 5.71 4.56 5.16 4.97 MIN: 11.12 / MAX: 24.79 MIN: 5.64 / MAX: 83.56 MIN: 7.52 / MAX: 29.38 MIN: 8.65 / MAX: 26.53 MIN: 3.92 / MAX: 64.73 MIN: 3.53 / MAX: 14.99 MIN: 3.65 / MAX: 16.28 MIN: 3.81 / MAX: 17.01 MIN: 2.8 / MAX: 14.8 MIN: 2.87 / MAX: 14.85 MIN: 2.6 / MAX: 65.07 MIN: 2.55 / MAX: 14.5 MIN: 3.52 / MAX: 63.57 MIN: 3 / MAX: 16.1 MIN: 3.15 / MAX: 66.9 MIN: 2.66 / MAX: 13.38 MIN: 2.79 / MAX: 95.31 MIN: 2.83 / MAX: 16.53 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.1013 0.2026 0.3039 0.4052 0.5065 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.13 0.30 0.19 0.21 0.40 0.19 0.18 0.18 0.26 0.25 0.37 0.28 0.20 0.32 0.24 0.45 0.41 0.34 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140 280 420 560 700 SE +/- 0.48, N = 9 SE +/- 1.43, N = 15 SE +/- 0.66, N = 10 SE +/- 0.92, N = 15 SE +/- 6.60, N = 15 SE +/- 0.99, N = 10 SE +/- 0.96, N = 10 SE +/- 0.91, N = 10 SE +/- 1.32, N = 10 SE +/- 1.33, N = 10 SE +/- 1.76, N = 11 SE +/- 0.95, N = 15 SE +/- 0.83, N = 10 SE +/- 1.61, N = 11 SE +/- 1.24, N = 10 SE +/- 2.84, N = 15 SE +/- 2.97, N = 15 SE +/- 2.23, N = 11 190.78 459.67 312.29 394.96 659.77 281.92 274.63 270.31 354.89 357.02 467.09 377.06 281.90 431.27 321.50 591.84 570.82 460.40 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 13.68 21.87 12.72 14.62 23.77 7.90 8.75 8.86 8.10 6.90 8.11 7.83 7.09 9.40 8.88 9.39 8.11 7.54 MIN: 10.07 / MAX: 26.8 MIN: 13.6 / MAX: 75.35 MIN: 7.78 / MAX: 25.52 MIN: 9.12 / MAX: 19.93 MIN: 13.5 / MAX: 85.73 MIN: 4.73 / MAX: 12.66 MIN: 5.38 / MAX: 13.88 MIN: 5.49 / MAX: 11.46 MIN: 5.01 / MAX: 13.3 MIN: 4.67 / MAX: 11.52 MIN: 5.12 / MAX: 25.43 MIN: 4.76 / MAX: 10.61 MIN: 4.78 / MAX: 39.2 MIN: 5.32 / MAX: 15.63 MIN: 6.12 / MAX: 31.68 MIN: 5.49 / MAX: 16.47 MIN: 5.07 / MAX: 30.92 MIN: 4.95 / MAX: 14.5 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.60, N = 3 SE +/- 0.16, N = 3 SE +/- 1.36, N = 12 SE +/- 1.45, N = 3 SE +/- 0.66, N = 3 SE +/- 0.14, N = 3 SE +/- 0.24, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.49, N = 3 SE +/- 0.23, N = 3 SE +/- 0.39, N = 3 SE +/- 0.50, N = 5 SE +/- 0.68, N = 3 130.50 96.67 160.24 138.61 62.81 94.24 98.89 101.42 75.12 71.17 58.65 72.45 90.86 64.02 80.19 51.18 46.54 56.31
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 700 1400 2100 2800 3500 SE +/- 12.21, N = 15 SE +/- 2.59, N = 7 SE +/- 0.52, N = 6 SE +/- 14.12, N = 15 SE +/- 38.74, N = 15 SE +/- 9.69, N = 6 SE +/- 7.25, N = 14 SE +/- 11.35, N = 5 SE +/- 12.20, N = 7 SE +/- 32.68, N = 15 SE +/- 17.20, N = 15 SE +/- 12.81, N = 7 SE +/- 9.29, N = 6 SE +/- 11.29, N = 8 SE +/- 10.86, N = 6 SE +/- 20.16, N = 9 SE +/- 14.62, N = 9 SE +/- 17.23, N = 8 898.41 1763.08 1101.96 1174.63 3092.67 1151.03 1092.69 1049.72 1454.02 1415.96 2266.24 1566.33 1162.56 2081.65 1410.33 3023.51 2921.63 2187.00 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
Timed Gem5 Compilation This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 23.0.1 Time To Compile Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.64, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.33, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.30, N = 3 SE +/- 0.77, N = 3 SE +/- 0.99, N = 3 844.87 343.15 575.28 500.25 247.04 531.01 560.06 575.27 424.06 418.69 297.51 409.74 504.80 324.56 456.70 249.42 248.48 302.62
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.315 0.63 0.945 1.26 1.575 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 8 SE +/- 0.01, N = 7 SE +/- 0.01, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 0.41 0.91 0.58 0.65 1.24 0.64 0.62 0.60 0.79 0.77 1.12 0.85 0.64 0.98 0.73 1.40 1.28 1.05 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.1488 2.2976 3.4464 4.5952 5.744 SE +/- 0.001645, N = 3 SE +/- 0.002096, N = 3 SE +/- 0.005587, N = 3 SE +/- 0.019884, N = 3 SE +/- 0.006848, N = 3 SE +/- 0.002247, N = 3 SE +/- 0.003047, N = 3 SE +/- 0.001877, N = 3 SE +/- 0.006038, N = 3 SE +/- 0.006781, N = 3 SE +/- 0.001475, N = 3 SE +/- 0.003184, N = 3 SE +/- 0.002269, N = 3 SE +/- 0.006120, N = 3 SE +/- 0.003675, N = 3 SE +/- 0.055915, N = 3 SE +/- 0.032671, N = 15 SE +/- 0.013220, N = 3 1.505559 3.291613 2.044132 2.439493 3.892076 2.184285 1.956604 1.878177 3.073575 2.956855 3.993680 3.198718 2.269932 3.628991 2.719862 5.105656 4.883019 3.664450 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60 120 180 240 300 SE +/- 0.05, N = 6 SE +/- 0.16, N = 8 SE +/- 0.12, N = 7 SE +/- 0.09, N = 8 SE +/- 0.58, N = 9 SE +/- 0.11, N = 7 SE +/- 0.09, N = 7 SE +/- 0.12, N = 7 SE +/- 0.07, N = 8 SE +/- 0.08, N = 8 SE +/- 0.14, N = 9 SE +/- 0.05, N = 9 SE +/- 0.14, N = 8 SE +/- 0.09, N = 9 SE +/- 0.12, N = 8 SE +/- 0.16, N = 10 SE +/- 0.20, N = 10 SE +/- 0.14, N = 9 75.38 153.24 117.98 129.42 204.09 123.50 118.52 115.94 157.18 150.93 189.01 169.60 125.97 168.72 143.39 255.51 227.17 171.72 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Noise-Gaussian Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 39 92 60 68 132 60 59 56 73 70 99 77 60 89 67 120 113 93 1. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 4.6.1 Test: Boat - Acceleration: CPU-only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.038, N = 5 SE +/- 0.011, N = 8 SE +/- 0.030, N = 6 SE +/- 0.010, N = 7 SE +/- 0.005, N = 9 SE +/- 0.007, N = 6 SE +/- 0.011, N = 6 SE +/- 0.010, N = 6 SE +/- 0.005, N = 7 SE +/- 0.011, N = 7 SE +/- 0.025, N = 7 SE +/- 0.003, N = 7 SE +/- 0.035, N = 6 SE +/- 0.005, N = 8 SE +/- 0.027, N = 6 SE +/- 0.010, N = 9 SE +/- 0.016, N = 8 SE +/- 0.007, N = 8 9.308 4.046 6.261 4.494 2.759 6.040 6.126 6.335 4.850 5.089 4.019 4.633 6.760 3.767 5.897 2.911 3.608 3.686
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Layered Halfspace Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60 120 180 240 300 SE +/- 1.55, N = 3 SE +/- 0.94, N = 3 SE +/- 1.71, N = 3 SE +/- 1.91, N = 3 SE +/- 0.60, N = 15 SE +/- 1.70, N = 5 SE +/- 0.05, N = 3 SE +/- 0.54, N = 3 SE +/- 1.50, N = 3 SE +/- 0.89, N = 3 SE +/- 1.00, N = 3 SE +/- 0.78, N = 3 SE +/- 1.50, N = 3 SE +/- 0.89, N = 3 SE +/- 0.80, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.33, N = 3 253.46 142.34 234.28 193.22 93.69 162.95 170.54 175.21 130.41 126.14 90.43 126.46 156.51 99.74 139.23 76.84 75.41 92.59 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.004066, N = 3 SE +/- 0.003513, N = 3 SE +/- 0.025037, N = 3 SE +/- 0.041072, N = 3 SE +/- 0.001166, N = 3 SE +/- 0.003720, N = 3 SE +/- 0.002660, N = 3 SE +/- 0.003503, N = 3 SE +/- 0.004542, N = 3 SE +/- 0.008041, N = 3 SE +/- 0.012797, N = 3 SE +/- 0.006553, N = 3 SE +/- 0.004570, N = 3 SE +/- 0.011475, N = 3 SE +/- 0.008062, N = 3 SE +/- 0.053484, N = 3 SE +/- 0.058956, N = 15 SE +/- 0.015533, N = 3 2.149135 4.720350 2.911730 3.585438 5.324602 3.002267 2.660170 2.560031 4.272006 4.113163 5.654563 4.462144 3.128374 5.092779 3.774922 7.147892 6.892796 5.153937 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.005582, N = 3 SE +/- 0.007913, N = 3 SE +/- 0.015446, N = 3 SE +/- 0.051330, N = 3 SE +/- 0.021993, N = 3 SE +/- 0.002453, N = 3 SE +/- 0.013287, N = 3 SE +/- 0.002336, N = 3 SE +/- 0.009309, N = 3 SE +/- 0.007626, N = 3 SE +/- 0.009483, N = 3 SE +/- 0.011129, N = 3 SE +/- 0.000497, N = 3 SE +/- 0.003758, N = 3 SE +/- 0.007466, N = 3 SE +/- 0.075891, N = 15 SE +/- 0.062561, N = 15 SE +/- 0.016973, N = 3 2.266839 5.155728 3.105687 3.906743 5.826205 3.066887 2.756652 2.671402 4.377345 4.246878 5.860082 4.579466 3.189378 5.302473 3.879172 7.529474 6.945742 5.369631 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.31, N = 3 SE +/- 0.17, N = 5 SE +/- 0.36, N = 8 SE +/- 0.35, N = 15 SE +/- 0.28, N = 5 SE +/- 0.02, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 4 SE +/- 0.07, N = 5 SE +/- 0.04, N = 5 SE +/- 0.09, N = 5 SE +/- 0.06, N = 5 SE +/- 0.03, N = 4 SE +/- 0.10, N = 5 SE +/- 0.04, N = 5 SE +/- 0.08, N = 6 SE +/- 0.03, N = 6 SE +/- 0.06, N = 5 27.32 53.63 41.26 41.12 63.14 45.81 43.53 42.37 60.37 57.22 70.96 64.42 46.27 64.63 54.80 90.17 80.41 65.03 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.35, N = 3 SE +/- 0.16, N = 5 SE +/- 0.33, N = 10 SE +/- 0.37, N = 15 SE +/- 0.07, N = 5 SE +/- 0.02, N = 4 SE +/- 0.05, N = 4 SE +/- 0.04, N = 4 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 SE +/- 0.06, N = 6 SE +/- 0.03, N = 5 SE +/- 0.03, N = 4 SE +/- 0.03, N = 5 SE +/- 0.05, N = 5 SE +/- 0.09, N = 6 SE +/- 0.11, N = 6 SE +/- 0.03, N = 5 28.26 55.67 42.59 42.83 66.16 47.16 44.74 43.58 62.27 58.90 73.43 66.34 47.64 66.78 56.43 93.22 83.16 66.93 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Y-Cruncher Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.287, N = 5 SE +/- 0.042, N = 4 SE +/- 0.198, N = 7 SE +/- 0.185, N = 12 SE +/- 0.091, N = 5 SE +/- 0.085, N = 4 SE +/- 0.009, N = 4 SE +/- 0.033, N = 4 SE +/- 0.032, N = 4 SE +/- 0.033, N = 4 SE +/- 0.012, N = 5 SE +/- 0.005, N = 4 SE +/- 0.018, N = 4 SE +/- 0.019, N = 5 SE +/- 0.033, N = 4 SE +/- 0.002, N = 5 SE +/- 0.005, N = 5 SE +/- 0.013, N = 5 25.903 14.619 21.125 19.556 10.050 13.635 14.035 14.341 11.341 11.267 8.484 10.806 14.461 9.218 12.653 8.000 7.878 8.597
JPEG-XL Decoding libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG-XL Decoding libjxl 0.10.1 CPU Threads: All Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140 280 420 560 700 SE +/- 0.40, N = 3 SE +/- 1.38, N = 3 SE +/- 0.35, N = 3 SE +/- 2.35, N = 15 SE +/- 0.60, N = 4 SE +/- 0.86, N = 3 SE +/- 1.61, N = 3 SE +/- 0.43, N = 3 SE +/- 0.93, N = 3 SE +/- 0.50, N = 3 SE +/- 0.96, N = 3 SE +/- 0.50, N = 3 SE +/- 0.28, N = 3 SE +/- 0.84, N = 3 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 SE +/- 3.81, N = 3 SE +/- 0.10, N = 3 325.53 465.48 413.06 369.23 650.84 393.13 373.53 361.85 428.87 413.33 202.89 447.80 383.16 199.00 395.31 402.38 382.99 198.47
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.02923, N = 3 SE +/- 0.06947, N = 3 SE +/- 0.04698, N = 3 SE +/- 0.10247, N = 3 SE +/- 0.04372, N = 3 SE +/- 0.00692, N = 3 SE +/- 0.00921, N = 3 SE +/- 0.00886, N = 3 SE +/- 0.02717, N = 3 SE +/- 0.04083, N = 3 SE +/- 0.05615, N = 3 SE +/- 0.02140, N = 3 SE +/- 0.04752, N = 3 SE +/- 0.00672, N = 3 SE +/- 0.01492, N = 3 SE +/- 0.03106, N = 3 SE +/- 0.09184, N = 15 SE +/- 0.02392, N = 3 6.55417 12.58060 8.70809 9.04416 17.23670 10.59210 9.17090 8.97888 12.96280 13.80270 5.94532 13.76000 5.27627 10.87760 5.68763 12.44410 6.53119 10.87900 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.68, N = 3 SE +/- 0.44, N = 3 SE +/- 0.62, N = 3 SE +/- 1.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 1.58, N = 3 SE +/- 0.11, N = 3 SE +/- 1.72, N = 3 SE +/- 0.06, N = 3 SE +/- 0.46, N = 3 SE +/- 0.20, N = 3 SE +/- 2.10, N = 15 SE +/- 0.20, N = 3 152.58 79.49 114.84 110.59 58.01 94.41 109.04 111.37 77.14 72.45 168.23 72.67 189.56 91.93 175.82 80.36 153.52 91.92 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Mount St. Helens Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 1.08, N = 4 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.76, N = 3 SE +/- 0.18, N = 3 SE +/- 0.22, N = 3 SE +/- 0.75, N = 3 SE +/- 0.66, N = 5 SE +/- 0.65, N = 3 SE +/- 0.49, N = 3 SE +/- 0.36, N = 3 SE +/- 0.34, N = 3 SE +/- 0.01, N = 3 SE +/- 0.37, N = 3 SE +/- 0.61, N = 4 SE +/- 0.33, N = 3 SE +/- 0.31, N = 3 SE +/- 0.24, N = 3 96.57 53.32 86.93 73.11 33.11 61.80 64.90 65.25 49.00 47.28 33.37 47.39 59.41 37.35 53.66 30.42 29.99 33.69 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.02, N = 5 SE +/- 0.27, N = 7 SE +/- 0.16, N = 6 SE +/- 0.23, N = 7 SE +/- 0.70, N = 8 SE +/- 0.03, N = 7 SE +/- 0.08, N = 7 SE +/- 0.08, N = 6 SE +/- 0.04, N = 7 SE +/- 0.08, N = 7 SE +/- 0.16, N = 8 SE +/- 0.06, N = 8 SE +/- 0.11, N = 7 SE +/- 0.07, N = 8 SE +/- 0.06, N = 7 SE +/- 0.25, N = 9 SE +/- 0.14, N = 9 SE +/- 0.11, N = 8 61.24 113.90 91.58 96.38 134.76 100.19 96.12 94.04 122.17 116.53 142.81 130.69 101.47 129.27 110.93 193.79 173.34 129.85 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 2 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.36, N = 3 SE +/- 0.10, N = 3 SE +/- 0.40, N = 3 SE +/- 0.59, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.27, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.47, N = 4 SE +/- 0.10, N = 3 106.02 45.50 70.46 60.95 33.61 63.89 65.00 68.34 52.79 55.91 41.17 50.43 63.76 44.08 57.35 34.60 37.56 41.62 1. (CXX) g++ options: -O3 -fPIC -lm
PJSIP PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateless Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 126.30, N = 3 SE +/- 362.03, N = 3 SE +/- 296.48, N = 3 SE +/- 317.62, N = 3 SE +/- 634.67, N = 3 SE +/- 73.47, N = 4 SE +/- 106.09, N = 4 SE +/- 469.34, N = 4 SE +/- 125.07, N = 4 SE +/- 157.16, N = 4 SE +/- 901.69, N = 13 SE +/- 72.06, N = 4 SE +/- 139.78, N = 4 SE +/- 690.01, N = 3 SE +/- 100.73, N = 4 SE +/- 592.85, N = 4 SE +/- 1102.85, N = 4 SE +/- 524.83, N = 3 101215 73111 59130 62702 71871 175841 164534 159091 156487 141927 93012 161631 185169 98564 150575 154460 141833 78245 1. (CC) gcc options: -lSDL2 -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.22, N = 3 SE +/- 0.23, N = 3 SE +/- 0.16, N = 8 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 5 SE +/- 0.13, N = 15 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 8 SE +/- 0.13, N = 3 SE +/- 0.15, N = 8 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 11.49 25.61 15.74 18.10 32.58 18.07 17.32 17.21 17.36 18.65 29.19 17.98 17.93 27.10 16.97 35.98 34.73 28.89 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 3.1 Benchmark: particle_volume/scivis/real_time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.00489, N = 3 SE +/- 0.00992, N = 3 SE +/- 0.00854, N = 3 SE +/- 0.00358, N = 3 SE +/- 0.01260, N = 3 SE +/- 0.00304, N = 3 SE +/- 0.00395, N = 3 SE +/- 0.00439, N = 3 SE +/- 0.00044, N = 3 SE +/- 0.00201, N = 3 SE +/- 0.00364, N = 3 SE +/- 0.00545, N = 3 SE +/- 0.00205, N = 3 SE +/- 0.00388, N = 3 SE +/- 0.00369, N = 3 SE +/- 0.00473, N = 3 SE +/- 0.00561, N = 3 SE +/- 0.00225, N = 3 3.08186 6.69098 4.18966 4.36378 9.63386 3.42891 3.20140 3.10823 4.53378 4.35833 6.91813 4.78285 3.58870 6.12512 4.23210 9.18932 8.69155 6.54819
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 110 220 330 440 550 SE +/- 0.47, N = 8 SE +/- 1.03, N = 11 SE +/- 0.52, N = 9 SE +/- 0.89, N = 10 SE +/- 2.81, N = 15 SE +/- 0.66, N = 9 SE +/- 0.66, N = 9 SE +/- 0.63, N = 9 SE +/- 0.72, N = 10 SE +/- 0.87, N = 10 SE +/- 1.45, N = 11 SE +/- 0.81, N = 10 SE +/- 0.57, N = 9 SE +/- 1.07, N = 15 SE +/- 0.90, N = 9 SE +/- 1.76, N = 15 SE +/- 1.66, N = 15 SE +/- 1.35, N = 11 167.99 354.68 226.27 309.98 524.83 217.20 211.57 207.17 250.27 256.60 366.94 262.29 218.78 344.83 230.95 441.66 430.38 365.82 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.50 9.56 6.19 6.88 12.05 7.47 6.94 6.75 9.72 9.72 12.06 10.33 7.38 11.02 8.31 14.04 12.95 11.63 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2024 Implementation: MPI CPU - Input: water_GMX50_bare Core i3 14100 Core i5 14400F Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.646 1.292 1.938 2.584 3.23 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 0.922 0.978 1.100 1.301 1.272 1.241 1.583 1.889 2.392 1.647 1.354 2.214 1.495 2.731 2.871 2.433 1. (CXX) g++ options: -O3 -lm Implementation: MPI CPU - Input: water_GMX50_bare
Core i5 14500: The test quit with a non-zero exit status. E: Fatal error:
Core i5 14600K: The test quit with a non-zero exit status. E: Fatal error:
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 5 - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.027, N = 3 SE +/- 0.023, N = 3 SE +/- 0.066, N = 3 SE +/- 0.075, N = 3 SE +/- 0.047, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.023, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.021, N = 3 SE +/- 0.006, N = 3 SE +/- 0.023, N = 3 SE +/- 0.016, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.055, N = 3 SE +/- 0.011, N = 3 6.570 12.544 8.749 9.451 16.076 11.345 10.767 10.497 13.538 13.363 17.942 14.260 11.340 16.251 12.071 20.436 18.923 16.905 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Apache HTTP Server This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 773.18, N = 4 SE +/- 1156.12, N = 3 SE +/- 484.41, N = 3 SE +/- 816.49, N = 3 SE +/- 492.01, N = 3 SE +/- 223.30, N = 3 SE +/- 118.90, N = 3 SE +/- 135.48, N = 3 SE +/- 6.22, N = 3 SE +/- 152.38, N = 3 SE +/- 365.07, N = 3 SE +/- 39.09, N = 3 SE +/- 153.71, N = 3 SE +/- 405.01, N = 3 SE +/- 123.39, N = 3 SE +/- 541.38, N = 3 SE +/- 547.92, N = 3 SE +/- 256.49, N = 3 63412.05 150149.16 87911.44 98053.73 197001.79 72809.07 67529.83 65945.93 93132.29 97434.42 122871.93 97489.88 70941.14 112523.91 82737.12 148727.98 147186.87 118549.17 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 3.1 Benchmark: particle_volume/ao/real_time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.00367, N = 3 SE +/- 0.01469, N = 3 SE +/- 0.00502, N = 3 SE +/- 0.00966, N = 3 SE +/- 0.01651, N = 3 SE +/- 0.00157, N = 3 SE +/- 0.00060, N = 3 SE +/- 0.00084, N = 3 SE +/- 0.00212, N = 3 SE +/- 0.00357, N = 3 SE +/- 0.00778, N = 3 SE +/- 0.00338, N = 3 SE +/- 0.00135, N = 3 SE +/- 0.00935, N = 3 SE +/- 0.00377, N = 3 SE +/- 0.00567, N = 3 SE +/- 0.00429, N = 3 SE +/- 0.00201, N = 3 3.10925 6.75030 4.23332 4.37667 9.63894 3.44203 3.20947 3.11802 4.54531 4.36132 6.91942 4.80252 3.60094 6.17855 4.23869 9.20514 8.71012 6.59923
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Water-layered Halfspace Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.75, N = 3 SE +/- 0.16, N = 3 SE +/- 1.28, N = 3 SE +/- 1.42, N = 3 SE +/- 0.93, N = 3 SE +/- 0.42, N = 3 SE +/- 0.27, N = 3 SE +/- 0.28, N = 3 SE +/- 0.60, N = 3 SE +/- 0.36, N = 3 SE +/- 0.16, N = 3 SE +/- 0.73, N = 3 SE +/- 0.64, N = 3 SE +/- 0.84, N = 3 SE +/- 0.56, N = 3 SE +/- 0.61, N = 3 SE +/- 0.45, N = 3 SE +/- 0.88, N = 3 223.86 129.50 209.93 172.78 85.06 151.94 158.37 161.18 125.80 113.27 89.18 121.28 145.62 97.64 134.27 76.03 72.52 87.64 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
ScyllaDB This is a benchmark of ScyllaDB and is making use of Apache Cassandra's cassandra-stress for conducting the benchmark. ScyllaDB is an open-source distributed NoSQL data store that is compatible with Apache Cassandra while focusing on higher throughput and lower latency. ScyllaDB uses a sharded design on each node. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better ScyllaDB 5.2.9 Test: Writes Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 176.88, N = 3 SE +/- 478.31, N = 3 SE +/- 251.40, N = 3 SE +/- 422.05, N = 3 SE +/- 40.83, N = 3 SE +/- 163.50, N = 3 SE +/- 300.11, N = 3 SE +/- 171.05, N = 3 SE +/- 208.65, N = 3 SE +/- 358.01, N = 3 SE +/- 464.62, N = 3 SE +/- 271.55, N = 3 SE +/- 91.01, N = 3 SE +/- 281.47, N = 3 SE +/- 959.72, N = 12 SE +/- 348.95, N = 3 SE +/- 295.62, N = 3 SE +/- 339.92, N = 3 59328 119816 67837 89715 176855 74161 68513 66689 90068 87809 120455 93367 57361 110869 72596 157663 152262 114115
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.004, N = 4 SE +/- 0.026, N = 6 SE +/- 0.022, N = 5 SE +/- 0.063, N = 15 SE +/- 0.016, N = 7 SE +/- 0.017, N = 5 SE +/- 0.013, N = 5 SE +/- 0.004, N = 5 SE +/- 0.020, N = 5 SE +/- 0.019, N = 5 SE +/- 0.015, N = 6 SE +/- 0.008, N = 6 SE +/- 0.009, N = 5 SE +/- 0.028, N = 6 SE +/- 0.015, N = 5 SE +/- 0.016, N = 7 SE +/- 0.014, N = 7 SE +/- 0.026, N = 6 16.080 7.085 10.020 8.701 5.240 10.174 10.418 10.822 8.484 8.802 6.604 8.010 10.109 7.202 9.179 5.633 5.999 6.884 1. (CXX) g++ options: -O3 -fPIC -lm
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 110 220 330 440 550 SE +/- 0.52, N = 8 SE +/- 0.92, N = 11 SE +/- 0.56, N = 9 SE +/- 0.78, N = 10 SE +/- 3.22, N = 15 SE +/- 0.83, N = 9 SE +/- 0.79, N = 9 SE +/- 0.83, N = 9 SE +/- 0.77, N = 10 SE +/- 0.81, N = 10 SE +/- 1.73, N = 11 SE +/- 0.81, N = 10 SE +/- 0.78, N = 9 SE +/- 1.58, N = 10 SE +/- 0.67, N = 9 SE +/- 1.69, N = 15 SE +/- 1.86, N = 15 SE +/- 1.11, N = 15 167.75 339.29 218.02 302.66 512.50 212.33 206.41 202.44 241.87 249.66 357.22 253.29 214.18 337.58 222.75 432.35 423.34 357.15 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.030, N = 3 SE +/- 0.043, N = 3 SE +/- 0.079, N = 3 SE +/- 0.124, N = 3 SE +/- 0.041, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 3 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.013, N = 3 SE +/- 0.002, N = 3 SE +/- 0.031, N = 3 SE +/- 0.012, N = 3 SE +/- 0.074, N = 3 SE +/- 0.022, N = 3 SE +/- 0.060, N = 3 7.760 14.820 10.456 11.058 17.869 14.166 13.290 12.955 16.783 16.153 21.029 17.823 14.098 19.262 14.824 23.696 21.373 19.624 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.58, N = 5 SE +/- 0.82, N = 15 SE +/- 0.72, N = 10 SE +/- 1.39, N = 15 SE +/- 3.07, N = 15 SE +/- 0.67, N = 10 SE +/- 0.72, N = 9 SE +/- 0.67, N = 10 SE +/- 0.66, N = 15 SE +/- 0.82, N = 6 SE +/- 1.33, N = 15 SE +/- 0.73, N = 15 SE +/- 0.67, N = 10 SE +/- 1.11, N = 15 SE +/- 0.59, N = 15 SE +/- 2.51, N = 15 SE +/- 2.11, N = 15 SE +/- 0.96, N = 15 59.45 140.30 94.92 114.42 181.26 89.24 86.66 85.49 110.93 112.96 142.63 116.41 87.21 134.22 101.19 169.72 168.74 144.89 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 4.6.1 Test: Server Rack - Acceleration: CPU-only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.126 0.252 0.378 0.504 0.63 SE +/- 0.003, N = 12 SE +/- 0.001, N = 13 SE +/- 0.003, N = 15 SE +/- 0.001, N = 13 SE +/- 0.005, N = 15 SE +/- 0.001, N = 12 SE +/- 0.001, N = 12 SE +/- 0.002, N = 12 SE +/- 0.001, N = 13 SE +/- 0.002, N = 13 SE +/- 0.003, N = 15 SE +/- 0.001, N = 13 SE +/- 0.003, N = 12 SE +/- 0.001, N = 13 SE +/- 0.002, N = 12 SE +/- 0.002, N = 15 SE +/- 0.002, N = 15 SE +/- 0.002, N = 15 0.560 0.268 0.418 0.287 0.194 0.435 0.381 0.396 0.335 0.327 0.338 0.308 0.524 0.242 0.458 0.184 0.294 0.237
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.1913 0.3826 0.5739 0.7652 0.9565 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.38 0.57 0.78 0.85 0.60 0.33 0.30 0.31 0.30 0.31 0.28 0.28 0.28 0.33 0.32 0.28 0.31 0.31 MIN: 0.21 / MAX: 3.77 MIN: 0.28 / MAX: 4.41 MIN: 0.37 / MAX: 12.11 MIN: 0.34 / MAX: 4.45 MIN: 0.28 / MAX: 7.71 MIN: 0.16 / MAX: 4.3 MIN: 0.17 / MAX: 5.26 MIN: 0.17 / MAX: 4.01 MIN: 0.16 / MAX: 7.47 MIN: 0.17 / MAX: 3.66 MIN: 0.15 / MAX: 13.32 MIN: 0.15 / MAX: 3.34 MIN: 0.15 / MAX: 10.4 MIN: 0.17 / MAX: 4.72 MIN: 0.18 / MAX: 11.41 MIN: 0.15 / MAX: 6.63 MIN: 0.16 / MAX: 11.6 MIN: 0.17 / MAX: 7.31 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60M 120M 180M 240M 300M SE +/- 1088039.47, N = 4 SE +/- 1553587.25, N = 3 SE +/- 1245540.71, N = 6 SE +/- 1043280.30, N = 10 SE +/- 190991.56, N = 3 SE +/- 11547.01, N = 3 SE +/- 97010.88, N = 3 SE +/- 196666.67, N = 3 SE +/- 286724.80, N = 3 SE +/- 153006.90, N = 3 SE +/- 194622.14, N = 3 SE +/- 237790.76, N = 3 SE +/- 89876.46, N = 3 SE +/- 695006.00, N = 3 SE +/- 312321.06, N = 3 SE +/- 2301854.32, N = 3 SE +/- 1182976.47, N = 3 SE +/- 616612.61, N = 3 98879250 192560000 126845000 139544000 227573333 156260000 151286667 146693333 205436667 202176667 253463333 217623333 154593333 230290000 184853333 299300000 294000000 243416667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.13, N = 7 SE +/- 0.34, N = 9 SE +/- 0.26, N = 9 SE +/- 0.25, N = 9 SE +/- 1.56, N = 10 SE +/- 0.10, N = 9 SE +/- 0.09, N = 8 SE +/- 0.09, N = 8 SE +/- 0.07, N = 10 SE +/- 0.08, N = 9 SE +/- 0.24, N = 10 SE +/- 0.15, N = 10 SE +/- 0.17, N = 9 SE +/- 0.15, N = 10 SE +/- 0.14, N = 9 SE +/- 0.14, N = 11 SE +/- 0.19, N = 10 SE +/- 0.15, N = 10 101.99 210.80 161.21 178.03 244.69 162.39 156.16 152.64 209.84 202.55 251.89 226.44 167.62 225.14 192.42 308.30 275.04 227.80 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Update Random Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200K 400K 600K 800K 1000K SE +/- 3120.48, N = 3 SE +/- 2938.73, N = 3 SE +/- 1211.59, N = 3 SE +/- 3695.96, N = 3 SE +/- 4614.35, N = 3 SE +/- 2095.22, N = 3 SE +/- 696.45, N = 3 SE +/- 331.48, N = 3 SE +/- 815.12, N = 3 SE +/- 704.85, N = 3 SE +/- 1707.55, N = 3 SE +/- 409.84, N = 3 SE +/- 772.72, N = 3 SE +/- 2991.59, N = 3 SE +/- 167.95, N = 3 SE +/- 2575.60, N = 3 SE +/- 5214.90, N = 3 SE +/- 1739.29, N = 3 547094 440829 277153 443126 724863 604117 573322 558168 674699 654733 566111 704065 384987 654860 427620 837769 800492 580593 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20M 40M 60M 80M 100M SE +/- 129034.23, N = 3 SE +/- 306840.47, N = 3 SE +/- 149141.59, N = 3 SE +/- 113386.64, N = 3 SE +/- 719452.89, N = 3 SE +/- 166311.84, N = 3 SE +/- 185101.82, N = 3 SE +/- 405937.66, N = 3 SE +/- 429607.10, N = 3 SE +/- 470104.43, N = 3 SE +/- 332030.88, N = 3 SE +/- 487362.37, N = 3 SE +/- 102620.41, N = 3 SE +/- 344253.35, N = 3 SE +/- 389675.44, N = 3 SE +/- 220956.54, N = 3 SE +/- 21290.26, N = 3 SE +/- 662812.69, N = 3 26056799 66286192 41387680 49455908 78697252 48165268 46832878 46843627 58637374 58648501 69499071 58605737 45967304 68017269 53952173 72083574 73423096 69806559
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 160 320 480 640 800 SE +/- 2.44, N = 3 SE +/- 2.79, N = 3 SE +/- 6.86, N = 3 SE +/- 1.63, N = 3 SE +/- 1.00, N = 3 SE +/- 0.66, N = 3 SE +/- 0.35, N = 3 SE +/- 0.23, N = 3 SE +/- 0.69, N = 3 SE +/- 4.14, N = 3 SE +/- 2.14, N = 3 SE +/- 0.49, N = 3 SE +/- 7.40, N = 3 SE +/- 0.66, N = 3 SE +/- 0.43, N = 3 SE +/- 2.28, N = 3 SE +/- 1.70, N = 3 SE +/- 3.94, N = 9 735.75 445.05 751.25 648.36 293.14 542.39 580.71 596.24 472.19 445.54 312.50 461.35 532.93 334.58 507.53 269.31 250.17 308.20
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.54, N = 3 SE +/- 0.37, N = 3 SE +/- 0.23, N = 3 SE +/- 0.24, N = 3 SE +/- 0.65, N = 3 SE +/- 0.21, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.29, N = 3 SE +/- 0.22, N = 3 SE +/- 1.29, N = 3 SE +/- 0.22, N = 3 SE +/- 0.76, N = 3 SE +/- 0.15, N = 3 SE +/- 0.79, N = 3 SE +/- 0.35, N = 3 SE +/- 0.67, N = 3 SE +/- 1.71, N = 3 191.26 201.04 190.27 202.98 210.92 162.86 195.70 193.64 154.27 201.65 192.31 153.71 79.74 189.43 97.31 169.94 219.43 239.14 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.01478, N = 3 SE +/- 0.00913, N = 3 SE +/- 0.00614, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.01456, N = 3 SE +/- 0.00772, N = 3 SE +/- 0.00321, N = 3 SE +/- 0.00277, N = 3 SE +/- 0.01241, N = 3 SE +/- 0.00538, N = 3 SE +/- 0.03469, N = 3 SE +/- 0.00915, N = 3 SE +/- 0.12035, N = 3 SE +/- 0.00429, N = 3 SE +/- 0.08198, N = 3 SE +/- 0.01210, N = 3 SE +/- 0.01400, N = 3 SE +/- 0.02978, N = 3 5.22745 4.97310 5.25440 4.92491 4.74003 6.13877 5.10814 5.16275 6.48009 4.95815 5.19969 6.50356 12.54070 5.27816 10.27410 5.88386 4.55693 4.18107 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
srsRAN Project srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Total Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 400 800 1200 1600 2000 SE +/- 0.95, N = 5 SE +/- 9.30, N = 15 SE +/- 15.87, N = 12 SE +/- 10.99, N = 15 SE +/- 0.10, N = 4 SE +/- 0.43, N = 6 SE +/- 0.35, N = 6 SE +/- 0.15, N = 6 SE +/- 0.12, N = 6 SE +/- 0.18, N = 6 SE +/- 0.02, N = 5 SE +/- 0.20, N = 6 SE +/- 1.18, N = 6 SE +/- 0.04, N = 5 SE +/- 0.05, N = 5 SE +/- 12.93, N = 15 SE +/- 0.03, N = 4 SE +/- 0.00, N = 5 579.0 1275.1 935.8 929.3 1373.8 1206.2 1206.1 1206.2 1609.7 1610.4 1667.5 1610.3 1201.8 1559.8 1200.1 1732.3 1698.0 1559.8 MIN: 417.9 / MAX: 581.4 MIN: 707.6 / MAX: 1299.9 MIN: 565.7 / MAX: 1016.5 MIN: 489.9 / MAX: 1006.7 MIN: 926.2 / MAX: 1373.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.6 / MAX: 1207 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.3 / MAX: 1206.7 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.2 / MAX: 1206.5 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1018.4 / MAX: 1610.1 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1018.7 / MAX: 1611.1 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1091.5 / MAX: 1667.6 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1018.5 / MAX: 1611 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 762.9 / MAX: 1205 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 955.1 / MAX: 1559.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 848.6 / MAX: 1200.2 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1132.1 / MAX: 1801 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1132.1 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 955.1 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.28, N = 5 SE +/- 0.05, N = 4 SE +/- 0.29, N = 9 SE +/- 0.28, N = 15 SE +/- 0.26, N = 5 SE +/- 0.03, N = 4 SE +/- 0.04, N = 4 SE +/- 0.01, N = 4 SE +/- 0.06, N = 4 SE +/- 0.07, N = 4 SE +/- 0.11, N = 5 SE +/- 0.04, N = 5 SE +/- 0.06, N = 4 SE +/- 0.09, N = 5 SE +/- 0.02, N = 4 SE +/- 0.12, N = 6 SE +/- 0.09, N = 5 SE +/- 0.02, N = 5 25.94 47.11 35.33 36.80 56.97 45.32 42.42 41.45 53.51 52.06 68.41 56.80 45.38 61.74 47.22 77.26 69.97 63.53 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Resizing Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 1.86, N = 3 SE +/- 2.67, N = 3 SE +/- 2.73, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.00, N = 3 SE +/- 1.76, N = 3 SE +/- 0.67, N = 3 SE +/- 0.00, N = 3 138 323 200 223 410 200 191 183 247 237 286 258 188 278 205 340 297 289 1. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 4K - Video Preset: Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.030, N = 3 SE +/- 0.014, N = 3 SE +/- 0.019, N = 3 SE +/- 0.019, N = 3 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 SE +/- 0.010, N = 3 SE +/- 0.017, N = 3 SE +/- 0.020, N = 3 SE +/- 0.030, N = 3 SE +/- 0.017, N = 3 SE +/- 0.003, N = 3 SE +/- 0.030, N = 3 SE +/- 0.007, N = 3 SE +/- 0.049, N = 3 SE +/- 0.031, N = 3 SE +/- 0.034, N = 3 2.861 6.318 3.991 4.404 7.790 4.609 4.399 4.275 5.573 5.374 7.204 5.895 4.516 6.545 4.950 8.360 7.713 6.906 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read Random Write Random Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 700K 1400K 2100K 2800K 3500K SE +/- 4815.64, N = 3 SE +/- 2667.33, N = 3 SE +/- 9098.66, N = 3 SE +/- 20298.51, N = 3 SE +/- 8288.59, N = 3 SE +/- 268.63, N = 3 SE +/- 2940.01, N = 3 SE +/- 2336.27, N = 3 SE +/- 914.39, N = 3 SE +/- 1484.34, N = 3 SE +/- 1317.49, N = 3 SE +/- 2838.23, N = 3 SE +/- 1802.55, N = 3 SE +/- 7703.25, N = 3 SE +/- 1314.56, N = 3 SE +/- 3577.69, N = 3 SE +/- 10042.97, N = 3 SE +/- 19930.45, N = 3 1154603 2477400 1535068 1702750 3322096 1806643 1695982 1653869 2245745 2305244 2079655 2362584 1555957 2468001 1770568 3363806 3266560 2469243 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.02697, N = 3 SE +/- 0.01213, N = 3 SE +/- 0.04780, N = 3 SE +/- 0.14898, N = 3 SE +/- 0.15878, N = 3 SE +/- 0.01370, N = 3 SE +/- 0.00690, N = 3 SE +/- 0.02166, N = 3 SE +/- 0.01427, N = 3 SE +/- 0.03149, N = 3 SE +/- 0.65808, N = 15 SE +/- 0.01582, N = 3 SE +/- 0.00388, N = 3 SE +/- 0.00830, N = 3 SE +/- 0.05312, N = 3 SE +/- 0.03559, N = 3 SE +/- 0.02471, N = 3 SE +/- 0.00351, N = 3 9.68664 18.35630 11.33510 12.72760 22.23920 15.41150 14.48930 14.14010 19.10060 18.51520 9.72805 20.39550 7.70716 15.03190 9.16806 16.75250 7.90246 15.01610 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.29, N = 3 SE +/- 0.04, N = 3 SE +/- 0.37, N = 3 SE +/- 0.91, N = 3 SE +/- 0.32, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 5.30, N = 15 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.63, N = 3 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.02, N = 3 103.23 54.48 88.22 78.59 44.97 64.88 69.01 70.72 52.35 54.01 107.76 49.03 129.75 66.52 109.08 59.69 126.54 66.59 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 23.6 Input: Carbon Nanotube Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80 160 240 320 400 SE +/- 0.40, N = 3 SE +/- 0.76, N = 3 SE +/- 0.82, N = 3 SE +/- 1.14, N = 3 SE +/- 0.23, N = 3 SE +/- 0.22, N = 3 SE +/- 0.16, N = 3 SE +/- 0.25, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.45, N = 3 SE +/- 1.38, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.49, N = 3 319.39 217.81 358.79 288.21 153.79 225.30 233.41 237.35 192.87 179.93 149.40 188.94 218.45 159.27 202.61 136.85 125.33 140.67 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
Pennant Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.21, N = 3 SE +/- 0.05, N = 3 SE +/- 0.66, N = 3 SE +/- 0.39, N = 4 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.31, N = 4 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 42.16 34.08 48.14 34.79 26.58 37.39 38.61 39.26 32.88 27.21 25.10 32.58 36.70 25.45 33.78 24.44 16.87 19.13 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 10.58, N = 3 SE +/- 3.79, N = 3 SE +/- 4.04, N = 3 SE +/- 3.70, N = 3 SE +/- 5.55, N = 3 SE +/- 1.46, N = 3 SE +/- 4.54, N = 3 SE +/- 6.32, N = 3 SE +/- 7.63, N = 3 SE +/- 6.04, N = 3 SE +/- 2.78, N = 3 SE +/- 7.49, N = 3 SE +/- 0.44, N = 3 SE +/- 4.08, N = 3 SE +/- 9.11, N = 3 SE +/- 0.69, N = 3 SE +/- 2.36, N = 3 SE +/- 4.25, N = 3 885.79 359.85 575.26 479.81 312.48 502.67 515.60 510.09 396.83 403.43 352.01 402.65 523.48 350.06 441.52 343.62 328.96 348.49 MAX: 28433.49 MAX: 27676.49 MAX: 27809.83 MAX: 28070.02 MAX: 27596.75 MAX: 27496.58 MAX: 27523.17 MAX: 28579.77 MAX: 27999.39 MAX: 27932.17 MAX: 27652.01 MAX: 28173.6 MAX: 28436.15 MAX: 27940.86 MAX: 28272.88 MAX: 27247.95 MAX: 27801.57 MAX: 27470.82
Apache HTTP Server This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 500 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 243.68, N = 3 SE +/- 908.23, N = 3 SE +/- 615.59, N = 3 SE +/- 1065.19, N = 3 SE +/- 1781.62, N = 3 SE +/- 86.41, N = 3 SE +/- 102.95, N = 3 SE +/- 275.87, N = 3 SE +/- 119.54, N = 3 SE +/- 109.28, N = 3 SE +/- 221.44, N = 3 SE +/- 71.08, N = 3 SE +/- 171.54, N = 3 SE +/- 125.95, N = 3 SE +/- 99.37, N = 3 SE +/- 196.05, N = 3 SE +/- 620.27, N = 3 SE +/- 189.16, N = 3 69974.43 161978.89 99385.75 105806.23 197477.53 79655.73 73453.39 71960.97 101420.06 102505.47 124228.55 107318.10 79285.20 113095.53 91354.05 149544.39 145568.99 119763.30 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
PyTorch This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 1.28, N = 15 SE +/- 0.34, N = 3 SE +/- 1.53, N = 15 SE +/- 0.22, N = 3 SE +/- 1.39, N = 15 SE +/- 0.35, N = 3 SE +/- 0.24, N = 3 SE +/- 0.16, N = 3 20.31 29.05 17.99 22.89 42.64 36.03 32.53 30.95 45.02 45.55 36.40 47.31 26.46 42.37 29.37 50.74 38.88 43.10 MIN: 15.73 / MAX: 21.25 MIN: 28.66 / MAX: 29.18 MIN: 17.04 / MAX: 18.6 MIN: 22.15 / MAX: 26.35 MIN: 11.67 / MAX: 43.63 MIN: 28.14 / MAX: 36.59 MIN: 31.49 / MAX: 32.88 MIN: 30.13 / MAX: 31.41 MIN: 36.93 / MAX: 45.91 MIN: 28.85 / MAX: 48.36 MIN: 31.83 / MAX: 45.77 MIN: 35.19 / MAX: 48.28 MIN: 19.12 / MAX: 33 MIN: 30.8 / MAX: 43.7 MIN: 24.28 / MAX: 38.08 MIN: 37.37 / MAX: 52.08 MIN: 36.85 / MAX: 39.84 MIN: 35.38 / MAX: 44.1
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.47, N = 4 SE +/- 1.08, N = 6 SE +/- 0.63, N = 5 SE +/- 0.90, N = 15 SE +/- 1.76, N = 15 SE +/- 0.59, N = 8 SE +/- 0.64, N = 6 SE +/- 0.60, N = 7 SE +/- 0.62, N = 9 SE +/- 0.65, N = 9 SE +/- 0.70, N = 15 SE +/- 0.72, N = 7 SE +/- 0.68, N = 5 SE +/- 0.71, N = 12 SE +/- 0.55, N = 10 SE +/- 0.93, N = 15 SE +/- 0.91, N = 15 SE +/- 0.66, N = 15 51.37 108.32 73.02 91.40 144.63 66.65 65.04 63.85 78.12 79.39 104.61 80.58 64.99 100.76 72.90 119.91 119.83 106.73 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 4 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.76 8.16 4.38 5.04 8.77 3.27 3.44 3.48 3.34 3.48 3.20 3.12 3.18 3.78 3.73 3.17 3.52 3.48 MIN: 2.88 / MAX: 13.91 MIN: 4.64 / MAX: 43.81 MIN: 1.99 / MAX: 13.5 MIN: 2.99 / MAX: 9.57 MIN: 4.48 / MAX: 44.4 MIN: 1.85 / MAX: 8.62 MIN: 2 / MAX: 8.13 MIN: 2.04 / MAX: 7.8 MIN: 1.88 / MAX: 13.56 MIN: 1.98 / MAX: 7.01 MIN: 1.78 / MAX: 77.1 MIN: 1.75 / MAX: 6.86 MIN: 1.75 / MAX: 51.35 MIN: 2.09 / MAX: 7.7 MIN: 2.06 / MAX: 54.24 MIN: 1.8 / MAX: 6.92 MIN: 1.98 / MAX: 109.68 MIN: 2.01 / MAX: 11.12 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 4.6.1 Test: Masskrug - Acceleration: CPU-only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.049 2.098 3.147 4.196 5.245 SE +/- 0.003, N = 7 SE +/- 0.011, N = 9 SE +/- 0.019, N = 8 SE +/- 0.009, N = 9 SE +/- 0.010, N = 10 SE +/- 0.005, N = 8 SE +/- 0.006, N = 8 SE +/- 0.004, N = 8 SE +/- 0.013, N = 8 SE +/- 0.007, N = 9 SE +/- 0.004, N = 9 SE +/- 0.006, N = 9 SE +/- 0.012, N = 7 SE +/- 0.006, N = 9 SE +/- 0.008, N = 8 SE +/- 0.005, N = 10 SE +/- 0.006, N = 9 SE +/- 0.005, N = 9 4.662 2.362 3.360 2.579 1.659 3.603 3.578 3.685 2.875 2.690 2.531 2.773 3.933 2.370 3.459 1.925 2.162 2.256
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 13 - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.41, N = 5 SE +/- 0.76, N = 7 SE +/- 0.60, N = 6 SE +/- 0.58, N = 7 SE +/- 1.00, N = 8 SE +/- 0.96, N = 6 SE +/- 0.93, N = 6 SE +/- 0.95, N = 7 SE +/- 1.22, N = 7 SE +/- 0.98, N = 7 SE +/- 1.12, N = 15 SE +/- 1.19, N = 7 SE +/- 0.97, N = 6 SE +/- 1.04, N = 15 SE +/- 1.00, N = 7 SE +/- 1.62, N = 15 SE +/- 1.63, N = 15 SE +/- 1.14, N = 15 67.83 134.77 99.90 118.99 167.49 108.73 105.17 103.68 132.20 130.70 168.39 139.30 107.52 153.58 120.61 189.68 182.08 162.30 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
PyTorch This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 7 SE +/- 0.17, N = 10 SE +/- 0.29, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.46, N = 3 SE +/- 0.25, N = 3 SE +/- 1.00, N = 12 SE +/- 0.67, N = 3 SE +/- 1.58, N = 15 SE +/- 0.36, N = 3 SE +/- 1.51, N = 15 SE +/- 0.51, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 20.38 29.09 18.20 22.67 42.55 35.50 32.22 31.14 45.96 45.31 34.28 47.17 25.05 42.64 31.61 50.62 38.44 43.27 MIN: 19.1 / MAX: 21.24 MIN: 25.01 / MAX: 29.31 MIN: 17.35 / MAX: 19.51 MIN: 20.23 / MAX: 25.88 MIN: 11.69 / MAX: 43.54 MIN: 28.95 / MAX: 36.04 MIN: 26.05 / MAX: 32.57 MIN: 29.55 / MAX: 31.6 MIN: 34.5 / MAX: 47.23 MIN: 41.52 / MAX: 48.34 MIN: 31.49 / MAX: 45.33 MIN: 30.15 / MAX: 48.24 MIN: 19.1 / MAX: 33.14 MIN: 40.85 / MAX: 44.08 MIN: 24.24 / MAX: 37.99 MIN: 49.04 / MAX: 52.37 MIN: 37.44 / MAX: 39.43 MIN: 35.61 / MAX: 44.15
PJSIP PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateful Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 28.79, N = 3 SE +/- 7.67, N = 3 SE +/- 10.87, N = 3 SE +/- 2.08, N = 3 SE +/- 7.62, N = 3 SE +/- 56.07, N = 3 SE +/- 17.68, N = 3 SE +/- 34.67, N = 3 SE +/- 15.60, N = 3 SE +/- 23.64, N = 3 SE +/- 69.50, N = 3 SE +/- 19.97, N = 3 SE +/- 77.51, N = 3 SE +/- 0.88, N = 3 SE +/- 25.67, N = 3 SE +/- 18.11, N = 3 SE +/- 271.20, N = 15 SE +/- 168.82, N = 15 5449 4952 9109 4529 4990 10386 9357 9259 10411 12555 11100 10917 10618 10608 9755 10707 11993 11426 1. (CC) gcc options: -lSDL2 -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 4K - Video Preset: Faster Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.035, N = 3 SE +/- 0.052, N = 3 SE +/- 0.086, N = 3 SE +/- 0.126, N = 3 SE +/- 0.028, N = 3 SE +/- 0.026, N = 3 SE +/- 0.007, N = 3 SE +/- 0.032, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.023, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.022, N = 3 SE +/- 0.036, N = 3 SE +/- 0.020, N = 3 SE +/- 0.045, N = 3 SE +/- 0.033, N = 3 6.839 15.033 9.367 10.405 18.363 10.676 10.240 9.714 12.908 12.594 16.390 13.707 10.534 14.780 11.613 18.836 17.490 15.756 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.10, N = 4 SE +/- 0.19, N = 6 SE +/- 0.49, N = 5 SE +/- 1.05, N = 15 SE +/- 0.59, N = 7 SE +/- 0.07, N = 5 SE +/- 0.07, N = 5 SE +/- 0.10, N = 5 SE +/- 0.11, N = 5 SE +/- 0.08, N = 5 SE +/- 0.16, N = 6 SE +/- 0.07, N = 5 SE +/- 0.09, N = 5 SE +/- 0.08, N = 6 SE +/- 0.10, N = 5 SE +/- 0.06, N = 6 SE +/- 0.26, N = 6 SE +/- 0.13, N = 6 50.51 103.92 69.89 88.69 138.88 64.70 63.44 62.39 74.45 76.55 99.89 76.89 63.32 96.88 70.17 112.92 114.58 102.44 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.07, N = 5 SE +/- 0.29, N = 7 SE +/- 0.14, N = 6 SE +/- 0.69, N = 6 SE +/- 0.77, N = 7 SE +/- 0.13, N = 7 SE +/- 0.19, N = 7 SE +/- 0.10, N = 7 SE +/- 0.12, N = 7 SE +/- 0.15, N = 7 SE +/- 0.18, N = 8 SE +/- 0.26, N = 8 SE +/- 0.11, N = 7 SE +/- 0.24, N = 8 SE +/- 0.18, N = 7 SE +/- 0.21, N = 9 SE +/- 0.34, N = 8 SE +/- 0.19, N = 8 68.54 103.43 90.27 90.20 129.73 112.75 107.05 105.06 133.58 129.81 167.70 141.26 113.60 150.79 119.42 188.19 169.53 155.91 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 338.00 224.67 343.03 263.05 153.66 282.34 317.62 318.64 253.60 172.35 174.54 254.37 274.29 176.32 299.09 162.80 125.39 140.90 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 2.16, N = 12 SE +/- 0.03, N = 3 SE +/- 0.28, N = 3 SE +/- 0.69, N = 3 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 60.08 86.26 68.57 65.83 89.02 120.12 109.18 106.58 150.68 143.55 146.02 163.74 65.74 135.22 68.12 144.75 128.33 129.56 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.95334, N = 12 SE +/- 0.00450, N = 3 SE +/- 0.05987, N = 3 SE +/- 0.15701, N = 3 SE +/- 0.02962, N = 3 SE +/- 0.00716, N = 3 SE +/- 0.00258, N = 3 SE +/- 0.00924, N = 3 SE +/- 0.00711, N = 3 SE +/- 0.00387, N = 3 SE +/- 0.00425, N = 3 SE +/- 0.00661, N = 3 SE +/- 0.02480, N = 3 SE +/- 0.00622, N = 3 SE +/- 0.05031, N = 3 SE +/- 0.00588, N = 3 SE +/- 0.00190, N = 3 SE +/- 0.00243, N = 3 17.02060 11.59250 14.58210 15.19380 11.23250 8.32403 9.15737 9.38070 6.63575 6.96587 6.84805 6.10634 15.20840 7.39486 14.67850 6.90846 7.79220 7.71794 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.28, N = 3 SE +/- 0.49, N = 3 SE +/- 0.19, N = 3 SE +/- 1.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.27, N = 3 SE +/- 0.22, N = 3 SE +/- 0.43, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.44, N = 3 SE +/- 0.55, N = 3 SE +/- 0.22, N = 3 136.25 173.62 140.76 165.03 179.57 142.25 160.06 159.22 136.16 169.34 159.09 136.69 67.97 158.22 75.27 146.37 178.26 184.58 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01041, N = 3 SE +/- 0.00091, N = 3 SE +/- 0.01441, N = 3 SE +/- 0.01796, N = 3 SE +/- 0.00582, N = 3 SE +/- 0.05677, N = 3 SE +/- 0.01020, N = 3 SE +/- 0.00704, N = 3 SE +/- 0.00418, N = 3 SE +/- 0.00935, N = 3 SE +/- 0.00878, N = 3 SE +/- 0.02314, N = 3 SE +/- 0.01280, N = 3 SE +/- 0.00540, N = 3 SE +/- 0.04594, N = 3 SE +/- 0.02071, N = 3 SE +/- 0.01718, N = 3 SE +/- 0.00635, N = 3 7.33488 5.75640 7.10013 6.05479 5.56529 7.02613 6.24311 6.27556 7.33916 5.90131 6.28265 7.31071 14.70170 6.31744 13.27570 6.83051 5.60839 5.41472 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 1080p - Video Preset: Fast Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.039, N = 3 SE +/- 0.101, N = 3 SE +/- 0.154, N = 3 SE +/- 0.140, N = 5 SE +/- 0.011, N = 3 SE +/- 0.002, N = 3 SE +/- 0.031, N = 3 SE +/- 0.017, N = 3 SE +/- 0.058, N = 3 SE +/- 0.087, N = 3 SE +/- 0.081, N = 3 SE +/- 0.062, N = 3 SE +/- 0.049, N = 3 SE +/- 0.107, N = 3 SE +/- 0.059, N = 3 SE +/- 0.168, N = 3 SE +/- 0.126, N = 3 SE +/- 0.102, N = 3 9.266 19.300 12.996 13.694 21.810 15.664 14.992 14.649 18.508 17.834 22.502 19.609 15.344 20.476 16.666 24.994 23.145 21.460 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 11.66 23.04 15.42 17.20 28.20 19.41 17.60 17.14 24.29 25.46 28.03 25.86 19.06 25.89 20.32 31.44 29.55 27.50 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.25, N = 3 SE +/- 0.11, N = 3 SE +/- 0.28, N = 3 SE +/- 0.40, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 5 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 33.44 24.88 31.05 36.63 22.34 21.26 21.13 21.53 16.27 13.64 15.01 15.55 18.44 17.58 16.81 16.66 15.08 15.23 MIN: 24.62 / MAX: 43.82 MIN: 18.58 / MAX: 105.71 MIN: 16.22 / MAX: 56.07 MIN: 22.45 / MAX: 57.86 MIN: 12.34 / MAX: 124.46 MIN: 15.87 / MAX: 25.62 MIN: 11.05 / MAX: 25.95 MIN: 11.81 / MAX: 28.76 MIN: 8.03 / MAX: 28.1 MIN: 10.16 / MAX: 20.25 MIN: 7.94 / MAX: 34.09 MIN: 12.12 / MAX: 24.67 MIN: 12.28 / MAX: 34.04 MIN: 13.76 / MAX: 25.32 MIN: 11.16 / MAX: 31.08 MIN: 8.11 / MAX: 22.99 MIN: 9.38 / MAX: 33.65 MIN: 9.75 / MAX: 22.59 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 160 320 480 640 800 SE +/- 4.70, N = 3 SE +/- 3.39, N = 3 SE +/- 5.59, N = 3 SE +/- 8.32, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.78, N = 3 SE +/- 0.81, N = 3 SE +/- 0.36, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 1.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.31, N = 3 SE +/- 0.11, N = 3 712.75 495.99 626.85 752.13 450.13 392.62 407.38 417.11 299.25 305.68 302.06 280.67 468.58 340.71 347.45 285.87 324.05 308.31 MIN: 473.04 / MAX: 755.46 MIN: 367.2 / MAX: 1158.54 MIN: 285.29 / MAX: 1349.27 MIN: 452.3 / MAX: 1485.64 MIN: 164.71 / MAX: 1018.22 MIN: 381.52 / MAX: 398.12 MIN: 390.22 / MAX: 412.07 MIN: 405.43 / MAX: 423.34 MIN: 284.34 / MAX: 313.37 MIN: 298.78 / MAX: 310.08 MIN: 146.54 / MAX: 406.15 MIN: 270.93 / MAX: 288.4 MIN: 313.26 / MAX: 523.2 MIN: 299.86 / MAX: 348.83 MIN: 172.18 / MAX: 442.5 MIN: 272.52 / MAX: 291.24 MIN: 183.15 / MAX: 428 MIN: 173.53 / MAX: 328.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80 160 240 320 400 SE +/- 0.29, N = 3 SE +/- 1.63, N = 3 SE +/- 3.62, N = 3 SE +/- 3.36, N = 3 SE +/- 0.61, N = 3 SE +/- 0.37, N = 3 SE +/- 0.19, N = 3 SE +/- 0.99, N = 3 SE +/- 0.71, N = 3 SE +/- 0.62, N = 3 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.49, N = 3 SE +/- 0.48, N = 3 SE +/- 0.59, N = 3 SE +/- 0.33, N = 3 SE +/- 0.27, N = 3 SE +/- 0.58, N = 3 376.32 233.00 362.62 338.60 173.56 284.11 299.87 310.62 232.33 220.50 167.31 225.38 274.51 182.40 245.37 145.44 141.14 169.75
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10 20 30 40 50 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 16.53 27.66 19.52 21.50 36.37 26.31 26.04 25.55 31.57 32.45 38.21 32.82 23.86 36.61 28.85 44.04 42.48 38.52
PJSIP PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: INVITE Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1400 2800 4200 5600 7000 SE +/- 13.45, N = 3 SE +/- 17.95, N = 3 SE +/- 2.33, N = 3 SE +/- 5.90, N = 3 SE +/- 7.31, N = 3 SE +/- 7.80, N = 3 SE +/- 12.10, N = 3 SE +/- 42.92, N = 3 SE +/- 36.79, N = 3 SE +/- 21.26, N = 3 SE +/- 8.41, N = 3 SE +/- 8.35, N = 3 SE +/- 49.61, N = 3 SE +/- 37.64, N = 3 SE +/- 36.99, N = 3 SE +/- 33.94, N = 3 SE +/- 59.28, N = 3 SE +/- 24.25, N = 3 3414 2857 4873 2545 2892 5919 5464 5325 5796 6742 5966 5799 5887 5885 5392 6017 6331 6292 1. (CC) gcc options: -lSDL2 -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
dav1d OpenBenchmarking.org FPS, More Is Better dav1d 1.4.2 Video Input: Summer Nature 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 1.86, N = 3 SE +/- 0.99, N = 5 SE +/- 1.48, N = 15 SE +/- 3.72, N = 15 SE +/- 2.48, N = 5 SE +/- 0.32, N = 4 SE +/- 0.23, N = 4 SE +/- 0.07, N = 4 SE +/- 0.49, N = 5 SE +/- 0.37, N = 5 SE +/- 2.32, N = 5 SE +/- 1.13, N = 5 SE +/- 0.68, N = 4 SE +/- 1.39, N = 5 SE +/- 0.20, N = 4 SE +/- 2.02, N = 5 SE +/- 1.24, N = 5 SE +/- 1.12, N = 5 152.25 348.56 221.41 250.49 399.28 269.21 261.65 257.34 330.73 359.91 352.81 342.90 257.39 340.94 298.87 400.75 402.19 366.57 1. (CC) gcc options: -pthread
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.15, N = 7 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 12.54 22.39 16.22 17.33 25.94 20.70 19.42 18.81 24.43 23.64 28.60 25.89 20.46 26.68 21.21 33.05 29.64 27.18 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Rotate Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80 160 240 320 400 SE +/- 2.42, N = 15 SE +/- 0.58, N = 3 SE +/- 4.41, N = 15 SE +/- 3.60, N = 15 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 1.68, N = 4 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 1.89, N = 5 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 2.33, N = 3 270 321 249 287 354 161 142 135 166 159 171 171 170 169 142 170 166 171 1. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
CockroachDB CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20K 40K 60K 80K 100K SE +/- 34.89, N = 3 SE +/- 64.12, N = 3 SE +/- 130.32, N = 3 SE +/- 370.93, N = 3 SE +/- 212.93, N = 3 SE +/- 186.41, N = 3 SE +/- 108.98, N = 3 SE +/- 17.63, N = 3 SE +/- 117.21, N = 3 SE +/- 58.89, N = 3 SE +/- 137.86, N = 3 SE +/- 94.66, N = 3 SE +/- 9.38, N = 3 SE +/- 43.79, N = 3 SE +/- 272.71, N = 3 SE +/- 343.74, N = 3 SE +/- 81.99, N = 3 SE +/- 128.05, N = 3 32323.5 69270.1 45283.1 50447.6 84621.7 50075.2 45898.2 44411.8 60333.4 62064.4 67281.8 62561.5 47745.5 66013.9 51871.8 79302.7 78316.6 68093.0
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.36, N = 3 SE +/- 0.45, N = 3 SE +/- 3.19, N = 12 SE +/- 1.64, N = 3 SE +/- 0.59, N = 3 SE +/- 0.53, N = 3 SE +/- 0.21, N = 3 SE +/- 1.16, N = 3 SE +/- 1.71, N = 3 SE +/- 0.35, N = 3 SE +/- 1.00, N = 7 SE +/- 0.91, N = 3 SE +/- 0.24, N = 3 SE +/- 1.19, N = 4 SE +/- 1.79, N = 3 SE +/- 0.92, N = 5 SE +/- 1.14, N = 3 SE +/- 0.96, N = 3 214.24 154.16 238.43 222.30 118.92 150.07 170.16 172.04 131.48 133.09 106.09 128.21 144.41 113.51 150.14 92.57 95.51 110.52
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10 20 30 40 50 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 SE +/- 0.29, N = 3 SE +/- 0.36, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 16.40 29.24 19.42 21.17 40.95 26.58 25.85 25.21 32.06 33.78 36.81 33.18 24.06 36.04 28.78 42.21 40.95 37.37
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 0.46, N = 3 SE +/- 0.71, N = 3 SE +/- 1.60, N = 3 SE +/- 1.43, N = 3 SE +/- 0.60, N = 3 SE +/- 0.59, N = 3 SE +/- 0.12, N = 3 SE +/- 1.07, N = 3 SE +/- 0.71, N = 3 SE +/- 0.26, N = 3 SE +/- 14.81, N = 15 SE +/- 0.34, N = 3 SE +/- 1.08, N = 3 SE +/- 0.71, N = 3 SE +/- 1.63, N = 3 SE +/- 0.38, N = 3 SE +/- 15.78, N = 15 SE +/- 0.20, N = 3 170.95 239.04 174.24 179.05 318.15 317.03 296.44 288.51 369.88 366.33 227.88 389.66 169.50 360.85 167.09 418.42 245.39 359.63 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.3462 2.6924 4.0386 5.3848 6.731 SE +/- 0.01555, N = 3 SE +/- 0.01244, N = 3 SE +/- 0.05221, N = 3 SE +/- 0.04415, N = 3 SE +/- 0.00588, N = 3 SE +/- 0.00579, N = 3 SE +/- 0.00135, N = 3 SE +/- 0.01289, N = 3 SE +/- 0.00514, N = 3 SE +/- 0.00196, N = 3 SE +/- 0.22003, N = 15 SE +/- 0.00223, N = 3 SE +/- 0.03791, N = 3 SE +/- 0.00544, N = 3 SE +/- 0.05748, N = 3 SE +/- 0.00221, N = 3 SE +/- 0.22371, N = 15 SE +/- 0.00157, N = 3 5.84860 4.18273 5.73954 5.58464 3.14268 3.15348 3.37225 3.46503 2.70281 2.72952 4.58566 2.56552 5.89916 2.77056 5.98313 2.38938 4.27317 2.78032 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
JPEG-XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 90 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.25, N = 3 SE +/- 0.29, N = 5 SE +/- 0.52, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.44, N = 3 SE +/- 0.31, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.03, N = 3 SE +/- 0.50, N = 3 SE +/- 0.28, N = 3 SE +/- 0.55, N = 4 SE +/- 0.25, N = 3 SE +/- 0.33, N = 9 19.76 38.00 26.14 28.50 48.18 29.76 28.35 27.41 34.91 33.90 44.99 37.44 29.95 40.00 31.43 49.24 45.09 41.37 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 90 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 8 SE +/- 0.24, N = 13 SE +/- 0.51, N = 5 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.41, N = 3 SE +/- 0.23, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.20, N = 3 SE +/- 0.44, N = 8 SE +/- 0.50, N = 15 SE +/- 0.14, N = 3 20.27 38.76 26.55 28.98 49.31 30.38 28.89 28.00 35.45 34.56 45.56 37.70 30.45 41.14 31.76 50.26 47.33 42.17 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read Random Write Random Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 700K 1400K 2100K 2800K 3500K SE +/- 4670.28, N = 3 SE +/- 11906.45, N = 3 SE +/- 9617.64, N = 3 SE +/- 17152.00, N = 3 SE +/- 4161.14, N = 3 SE +/- 984.25, N = 3 SE +/- 2333.16, N = 3 SE +/- 4529.05, N = 3 SE +/- 7517.32, N = 3 SE +/- 1411.45, N = 3 SE +/- 856.38, N = 3 SE +/- 991.38, N = 3 SE +/- 1012.09, N = 3 SE +/- 4346.95, N = 3 SE +/- 3321.22, N = 3 SE +/- 3922.55, N = 3 SE +/- 7051.25, N = 3 SE +/- 3782.80, N = 3 1238341 2481191 1530188 1717392 3055508 1788437 1739499 1704586 2210374 2185736 2116722 2338569 1525960 2294550 1794101 3040960 2934049 2326009 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
Timed PHP Compilation This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.3.4 Time To Compile Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.77, N = 4 SE +/- 0.84, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 90.57 46.99 68.14 58.48 36.95 62.58 66.93 69.27 53.20 52.78 42.23 51.81 59.54 44.74 58.52 38.06 39.06 43.29
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200M 400M 600M 800M 1000M SE +/- 2614078.76, N = 12 SE +/- 4230060.41, N = 3 SE +/- 4613946.49, N = 12 SE +/- 5017573.78, N = 13 SE +/- 6711654.04, N = 3 SE +/- 325081.19, N = 3 SE +/- 261172.57, N = 3 SE +/- 1926052.38, N = 3 SE +/- 270883.33, N = 3 SE +/- 660538.50, N = 3 SE +/- 2203595.55, N = 3 SE +/- 2131011.76, N = 3 SE +/- 273922.13, N = 3 SE +/- 1944885.03, N = 3 SE +/- 1918914.62, N = 3 SE +/- 2042525.67, N = 3 SE +/- 1076429.28, N = 3 SE +/- 2038220.90, N = 3 374182500 806183333 580324167 574286923 894610000 544393333 517413333 499613333 720496667 704126667 768990000 752396667 527460000 724973333 635320000 814723333 793470000 742286667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.39, N = 3 SE +/- 0.50, N = 5 SE +/- 0.46, N = 4 SE +/- 0.52, N = 15 SE +/- 0.60, N = 5 SE +/- 0.06, N = 5 SE +/- 0.05, N = 4 SE +/- 0.05, N = 4 SE +/- 0.05, N = 5 SE +/- 0.06, N = 5 SE +/- 0.10, N = 5 SE +/- 0.19, N = 5 SE +/- 0.07, N = 4 SE +/- 0.05, N = 5 SE +/- 0.11, N = 5 SE +/- 0.16, N = 6 SE +/- 0.06, N = 5 SE +/- 0.12, N = 5 39.66 67.48 52.22 55.37 72.35 65.42 60.61 58.98 78.71 78.59 84.00 83.70 63.72 79.04 66.63 94.58 85.41 80.62 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
dav1d OpenBenchmarking.org FPS, More Is Better dav1d 1.4.2 Video Input: Summer Nature 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 1.03, N = 7 SE +/- 2.57, N = 9 SE +/- 0.88, N = 8 SE +/- 2.73, N = 9 SE +/- 5.47, N = 15 SE +/- 1.94, N = 9 SE +/- 1.04, N = 9 SE +/- 1.38, N = 9 SE +/- 3.40, N = 10 SE +/- 1.13, N = 10 SE +/- 1.70, N = 10 SE +/- 3.89, N = 10 SE +/- 0.94, N = 9 SE +/- 2.15, N = 9 SE +/- 1.52, N = 9 SE +/- 3.86, N = 10 SE +/- 0.84, N = 10 SE +/- 0.70, N = 9 616.68 1198.58 899.61 1008.53 691.91 1114.30 1058.44 1030.35 1295.95 1332.08 1314.50 1379.81 1108.97 1227.00 1170.96 1464.85 1372.56 1248.97 1. (CC) gcc options: -pthread
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6K 12K 18K 24K 30K SE +/- 5.54, N = 3 SE +/- 46.26, N = 3 SE +/- 59.80, N = 3 SE +/- 111.66, N = 3 SE +/- 106.99, N = 4 SE +/- 9.81, N = 3 SE +/- 14.33, N = 3 SE +/- 12.82, N = 3 SE +/- 5.89, N = 3 SE +/- 28.74, N = 3 SE +/- 15.47, N = 3 SE +/- 6.98, N = 3 SE +/- 4.38, N = 3 SE +/- 35.85, N = 3 SE +/- 9.63, N = 3 SE +/- 39.24, N = 3 SE +/- 113.51, N = 4 SE +/- 249.76, N = 7 12888.48 16660.40 12009.05 18025.61 23692.53 12214.96 11567.62 11512.58 12280.08 17244.33 20661.16 12327.12 12316.64 20626.66 11596.42 20797.78 27315.65 27038.29 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 4.6.1 Test: Server Room - Acceleration: CPU-only Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.7691 1.5382 2.3073 3.0764 3.8455 SE +/- 0.002, N = 8 SE +/- 0.004, N = 9 SE +/- 0.009, N = 8 SE +/- 0.010, N = 9 SE +/- 0.009, N = 10 SE +/- 0.005, N = 8 SE +/- 0.005, N = 8 SE +/- 0.004, N = 8 SE +/- 0.003, N = 9 SE +/- 0.004, N = 9 SE +/- 0.007, N = 9 SE +/- 0.005, N = 9 SE +/- 0.006, N = 8 SE +/- 0.003, N = 9 SE +/- 0.012, N = 8 SE +/- 0.006, N = 10 SE +/- 0.006, N = 9 SE +/- 0.007, N = 9 3.418 1.881 2.652 1.962 1.444 2.747 2.629 2.712 2.253 2.237 2.160 2.174 3.180 1.946 2.763 1.684 1.997 1.909
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.20, N = 5 SE +/- 0.30, N = 6 SE +/- 0.24, N = 5 SE +/- 0.28, N = 5 SE +/- 0.20, N = 6 SE +/- 0.49, N = 6 SE +/- 0.14, N = 6 SE +/- 0.22, N = 6 SE +/- 0.78, N = 6 SE +/- 0.73, N = 6 SE +/- 0.18, N = 7 SE +/- 0.45, N = 6 SE +/- 0.32, N = 6 SE +/- 0.12, N = 7 SE +/- 0.25, N = 6 SE +/- 0.16, N = 8 SE +/- 0.20, N = 7 SE +/- 0.10, N = 7 53.34 77.31 66.48 68.19 87.81 80.48 78.03 76.19 88.31 89.50 110.11 91.81 82.27 103.31 80.17 125.44 115.95 105.27 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Update Random Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140K 280K 420K 560K 700K SE +/- 2549.57, N = 3 SE +/- 1072.06, N = 3 SE +/- 1900.65, N = 3 SE +/- 2781.87, N = 3 SE +/- 2434.57, N = 3 SE +/- 597.00, N = 3 SE +/- 559.47, N = 3 SE +/- 1197.08, N = 3 SE +/- 1082.29, N = 3 SE +/- 1026.95, N = 3 SE +/- 292.34, N = 3 SE +/- 150.87, N = 3 SE +/- 173.93, N = 3 SE +/- 1000.59, N = 3 SE +/- 570.28, N = 3 SE +/- 534.37, N = 3 SE +/- 1047.61, N = 3 SE +/- 449.30, N = 3 566512 429735 289547 324821 566706 477622 451829 438913 549583 525404 527985 567398 407004 539939 449350 674467 648398 537117 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
CockroachDB CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15K 30K 45K 60K 75K SE +/- 33.45, N = 3 SE +/- 41.23, N = 3 SE +/- 76.57, N = 3 SE +/- 59.85, N = 3 SE +/- 202.16, N = 3 SE +/- 111.87, N = 3 SE +/- 47.43, N = 3 SE +/- 24.14, N = 3 SE +/- 114.90, N = 3 SE +/- 26.81, N = 3 SE +/- 303.29, N = 3 SE +/- 136.89, N = 3 SE +/- 29.14, N = 3 SE +/- 23.87, N = 3 SE +/- 87.72, N = 3 SE +/- 157.25, N = 3 SE +/- 97.78, N = 3 SE +/- 92.68, N = 3 30490.6 60340.4 42243.0 46788.4 70273.0 46126.9 42129.0 41162.5 54984.0 56408.3 60434.8 56204.3 44261.8 59125.3 47612.8 69148.9 68654.9 60932.3
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: H2 Database Engine Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 800 1600 2400 3200 4000 SE +/- 15.34, N = 3 SE +/- 14.62, N = 3 SE +/- 3.18, N = 3 SE +/- 6.69, N = 3 SE +/- 13.30, N = 3 SE +/- 16.83, N = 3 SE +/- 14.84, N = 3 SE +/- 8.65, N = 3 SE +/- 13.93, N = 3 SE +/- 22.85, N = 4 SE +/- 11.86, N = 3 SE +/- 11.70, N = 3 SE +/- 9.24, N = 3 SE +/- 10.84, N = 3 SE +/- 13.97, N = 3 SE +/- 8.50, N = 3 SE +/- 20.84, N = 3 SE +/- 24.66, N = 3 3759 1917 2532 2233 1782 2330 2445 2533 1900 1843 1759 1840 2410 1801 2115 1656 1639 1709
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11K 22K 33K 44K 55K SE +/- 44.89, N = 3 SE +/- 33.94, N = 3 SE +/- 136.48, N = 3 SE +/- 165.57, N = 3 SE +/- 65.70, N = 3 SE +/- 27.66, N = 3 SE +/- 13.16, N = 3 SE +/- 31.19, N = 3 SE +/- 24.98, N = 3 SE +/- 10.88, N = 3 SE +/- 51.49, N = 3 SE +/- 7.44, N = 3 SE +/- 20.83, N = 3 SE +/- 174.45, N = 3 SE +/- 24.65, N = 3 SE +/- 15.87, N = 3 SE +/- 72.99, N = 3 SE +/- 71.23, N = 3 27059.88 34349.94 26162.56 32510.41 52276.23 23418.30 25653.94 24769.75 24849.95 24524.76 41571.02 25189.66 25217.62 40917.01 25513.43 50089.22 53509.37 44296.62 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3K 6K 9K 12K 15K SE +/- 97.64, N = 15 SE +/- 19.88, N = 3 SE +/- 94.40, N = 15 SE +/- 74.03, N = 12 SE +/- 27.22, N = 4 SE +/- 15.03, N = 3 SE +/- 36.03, N = 4 SE +/- 22.09, N = 4 SE +/- 5.00, N = 4 SE +/- 5.80, N = 4 SE +/- 26.19, N = 4 SE +/- 13.74, N = 4 SE +/- 26.75, N = 3 SE +/- 77.30, N = 4 SE +/- 32.02, N = 4 SE +/- 36.58, N = 4 SE +/- 102.93, N = 4 SE +/- 50.86, N = 5 6701.98 9035.58 5858.60 8627.09 10353.69 8505.73 9392.24 9178.68 9602.07 10982.77 11867.55 9559.09 8620.42 11852.69 11072.25 11239.53 12407.21 13308.70 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 1080p - Video Preset: Faster Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 12 24 36 48 60 SE +/- 0.25, N = 5 SE +/- 0.14, N = 4 SE +/- 0.23, N = 15 SE +/- 0.34, N = 13 SE +/- 0.35, N = 4 SE +/- 0.04, N = 4 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 4 SE +/- 0.04, N = 4 SE +/- 0.17, N = 4 SE +/- 0.04, N = 4 SE +/- 0.10, N = 4 SE +/- 0.05, N = 4 SE +/- 0.08, N = 4 SE +/- 0.06, N = 4 SE +/- 0.08, N = 4 SE +/- 0.12, N = 4 24.15 47.70 33.12 34.48 51.05 38.00 36.54 35.78 44.32 43.35 50.67 46.80 37.73 46.28 40.21 54.53 50.64 48.74 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 7.43 11.20 8.04 11.70 12.80 6.78 7.32 7.74 6.66 6.99 6.09 6.52 6.45 5.78 7.37 5.68 5.99 6.15
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: python_startup Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.15, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 7.44 11.10 7.99 11.50 12.40 6.75 7.28 7.69 6.64 6.96 6.06 6.50 6.47 5.76 7.38 5.64 5.97 6.14
Llamafile OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.6 Test: mistral-7b-instruct-v0.2.Q5_K_M - Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 11.55 8.91 6.41 12.57 12.67 10.97 14.04 14.08 11.02 11.00 12.10 11.03 9.45 12.98 12.02 12.72 11.65 12.75
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 13K 26K 39K 52K 65K SE +/- 19.33, N = 3 SE +/- 158.60, N = 3 SE +/- 333.36, N = 4 SE +/- 201.38, N = 3 SE +/- 158.94, N = 3 SE +/- 74.81, N = 3 SE +/- 5.01, N = 3 SE +/- 32.19, N = 3 SE +/- 44.37, N = 3 SE +/- 39.93, N = 3 SE +/- 83.67, N = 3 SE +/- 41.19, N = 3 SE +/- 67.00, N = 3 SE +/- 85.21, N = 3 SE +/- 7.59, N = 3 SE +/- 93.46, N = 3 SE +/- 199.52, N = 3 SE +/- 163.18, N = 3 30185.38 36197.13 28635.95 31987.13 53978.88 27576.04 31542.95 30518.93 41377.34 43838.20 44843.46 44230.72 32547.42 44578.64 42921.73 55946.94 60183.70 46461.35 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7K 14K 21K 28K 35K SE +/- 14.75, N = 3 SE +/- 280.75, N = 7 SE +/- 52.88, N = 3 SE +/- 413.66, N = 12 SE +/- 1633.77, N = 9 SE +/- 46.64, N = 3 SE +/- 35.11, N = 3 SE +/- 131.81, N = 3 SE +/- 332.00, N = 12 SE +/- 147.73, N = 3 SE +/- 458.43, N = 12 SE +/- 177.77, N = 3 SE +/- 114.45, N = 3 SE +/- 771.43, N = 10 SE +/- 76.46, N = 3 SE +/- 1074.79, N = 9 SE +/- 153.03, N = 3 SE +/- 470.43, N = 12 15560 31577 22596 25255 30605 21155 19134 18609 25793 28314 31430 26827 20226 29510 22613 33938 25376 30929 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 900 1800 2700 3600 4500 SE +/- 8.52, N = 3 SE +/- 11.37, N = 3 SE +/- 15.52, N = 3 SE +/- 4.77, N = 3 SE +/- 6.67, N = 3 SE +/- 1.15, N = 3 SE +/- 34.18, N = 3 SE +/- 21.91, N = 3 SE +/- 16.24, N = 3 SE +/- 35.80, N = 3 SE +/- 24.01, N = 3 SE +/- 14.83, N = 3 SE +/- 1.84, N = 3 SE +/- 3.22, N = 3 SE +/- 49.44, N = 3 SE +/- 18.67, N = 3 SE +/- 10.11, N = 3 SE +/- 10.65, N = 3 2786.86 3812.80 3452.40 3828.28 4159.59 1917.81 2837.52 2842.93 2098.48 2195.98 2715.02 2089.86 2012.44 2788.03 2719.88 2865.14 2960.53 2906.01 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.29, N = 7 SE +/- 0.10, N = 3 SE +/- 0.71, N = 12 SE +/- 2.04, N = 9 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.38, N = 3 SE +/- 0.54, N = 12 SE +/- 0.18, N = 3 SE +/- 0.52, N = 12 SE +/- 0.25, N = 3 SE +/- 0.28, N = 3 SE +/- 0.99, N = 10 SE +/- 0.15, N = 3 SE +/- 1.15, N = 9 SE +/- 0.24, N = 3 SE +/- 0.55, N = 12 64.27 31.68 44.26 39.72 33.54 47.27 52.26 53.74 38.85 35.32 31.90 37.28 49.44 34.12 44.22 29.76 39.41 32.42 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 3.1 Benchmark: particle_volume/pathtracer/real_time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 50 100 150 200 250 SE +/- 0.02, N = 3 SE +/- 0.45, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 SE +/- 0.93, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 SE +/- 0.68, N = 3 SE +/- 1.98, N = 3 SE +/- 0.61, N = 3 SE +/- 0.28, N = 3 SE +/- 0.10, N = 3 SE +/- 0.76, N = 3 SE +/- 0.50, N = 3 SE +/- 0.42, N = 3 101.70 147.34 118.75 121.14 187.07 135.88 119.96 115.05 163.67 150.18 197.85 164.90 141.84 189.05 138.38 217.69 206.80 184.86
DuckDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 1.0 Benchmark: Clickbench Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 30.61 17.43 22.48 20.71 15.88 21.26 22.67 23.33 18.46 18.49 15.31 17.82 21.93 16.41 20.89 14.39 14.58 15.70 1. (CXX) g++ options: -O3 -ldl
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6K 12K 18K 24K 30K SE +/- 29.61, N = 3 SE +/- 18.32, N = 3 SE +/- 65.90, N = 3 SE +/- 175.93, N = 9 SE +/- 250.06, N = 4 SE +/- 17.48, N = 3 SE +/- 158.90, N = 3 SE +/- 149.99, N = 3 SE +/- 42.81, N = 3 SE +/- 40.66, N = 3 SE +/- 96.01, N = 3 SE +/- 83.01, N = 3 SE +/- 96.74, N = 3 SE +/- 58.35, N = 3 SE +/- 31.35, N = 3 SE +/- 11.30, N = 4 SE +/- 19.26, N = 4 SE +/- 132.90, N = 3 16197.58 21347.50 13717.15 21317.97 28989.84 17775.19 16806.37 16342.02 24264.25 23127.50 25592.17 24553.46 18133.57 24817.80 22931.20 27683.34 27604.96 24724.04 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.06, N = 4 SE +/- 0.11, N = 3 SE +/- 0.16, N = 5 SE +/- 0.09, N = 4 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 4 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 4 SE +/- 0.09, N = 3 SE +/- 0.04, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 24.43 15.85 21.25 16.33 11.61 20.52 22.53 22.78 19.13 14.40 14.93 19.04 20.21 14.96 21.66 14.68 12.59 12.86 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 3.39, N = 3 SE +/- 2.73, N = 3 SE +/- 7.57, N = 3 SE +/- 2.63, N = 3 SE +/- 0.20, N = 3 SE +/- 1.17, N = 3 SE +/- 1.09, N = 3 SE +/- 1.57, N = 3 SE +/- 1.54, N = 3 SE +/- 0.94, N = 3 SE +/- 0.37, N = 3 SE +/- 1.02, N = 3 SE +/- 1.50, N = 3 SE +/- 0.52, N = 3 SE +/- 0.99, N = 3 SE +/- 0.14, N = 3 SE +/- 1.79, N = 3 SE +/- 2.38, N = 3 1249.14 946.71 1454.23 1185.46 695.75 1024.84 1005.07 1018.60 887.86 882.97 794.60 883.65 1010.03 803.78 857.36 761.06 721.43 759.33
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 44.29 33.55 49.76 43.01 27.19 38.31 41.55 40.75 32.06 29.99 26.63 30.58 35.61 28.68 36.11 24.15 24.78 26.09 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 3D Elevated Function In Random Colors, 100 Times Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15 30 45 60 75 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 14 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.32, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.35, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 40.55 35.29 40.87 38.01 33.75 38.71 38.66 41.10 37.33 39.45 66.63 35.89 66.27 37.09 69.54 36.66 67.37 38.96
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 10, Lossless Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.003, N = 6 SE +/- 0.013, N = 8 SE +/- 0.008, N = 7 SE +/- 0.021, N = 8 SE +/- 0.023, N = 9 SE +/- 0.005, N = 8 SE +/- 0.003, N = 7 SE +/- 0.005, N = 7 SE +/- 0.005, N = 8 SE +/- 0.016, N = 8 SE +/- 0.029, N = 10 SE +/- 0.004, N = 8 SE +/- 0.016, N = 8 SE +/- 0.014, N = 8 SE +/- 0.009, N = 8 SE +/- 0.015, N = 9 SE +/- 0.015, N = 9 SE +/- 0.022, N = 8 6.729 3.904 4.933 4.313 3.288 4.844 4.890 5.107 4.405 4.623 3.858 4.195 4.649 4.109 4.586 3.619 3.727 3.993 1. (CXX) g++ options: -O3 -fPIC -lm
dav1d OpenBenchmarking.org FPS, More Is Better dav1d 1.4.2 Video Input: Chimera 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 4.96, N = 3 SE +/- 3.42, N = 4 SE +/- 5.94, N = 7 SE +/- 4.71, N = 4 SE +/- 6.60, N = 4 SE +/- 1.45, N = 5 SE +/- 0.79, N = 5 SE +/- 1.65, N = 4 SE +/- 1.75, N = 5 SE +/- 0.84, N = 5 SE +/- 0.83, N = 5 SE +/- 1.95, N = 5 SE +/- 1.29, N = 5 SE +/- 0.92, N = 5 SE +/- 1.21, N = 5 SE +/- 1.69, N = 5 SE +/- 0.75, N = 5 SE +/- 0.54, N = 5 494.96 747.81 644.54 624.03 616.52 837.54 805.99 782.74 965.98 997.56 908.95 1012.17 832.42 868.66 865.51 976.55 903.77 855.54 1. (CC) gcc options: -pthread
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15M 30M 45M 60M 75M SE +/- 213434.05, N = 3 SE +/- 505256.95, N = 3 SE +/- 425645.32, N = 3 SE +/- 392499.59, N = 3 SE +/- 384174.37, N = 3 SE +/- 773670.85, N = 3 SE +/- 624287.82, N = 3 SE +/- 596085.82, N = 3 SE +/- 334104.85, N = 3 SE +/- 131946.71, N = 3 SE +/- 201167.30, N = 3 SE +/- 336865.02, N = 3 SE +/- 564090.85, N = 3 SE +/- 61190.61, N = 3 SE +/- 325638.55, N = 3 SE +/- 244618.28, N = 3 SE +/- 767232.09, N = 3 SE +/- 771885.04, N = 5 35134144 65368500 47228659 55137316 71728434 55153469 54077240 52903852 62189960 62503330 67730025 63222104 52797566 66634154 60263722 68928531 69385919 69051125
dav1d OpenBenchmarking.org FPS, More Is Better dav1d 1.4.2 Video Input: Chimera 1080p 10-bit Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 6.08, N = 3 SE +/- 0.26, N = 4 SE +/- 5.34, N = 6 SE +/- 4.62, N = 9 SE +/- 1.50, N = 4 SE +/- 4.84, N = 4 SE +/- 0.62, N = 4 SE +/- 0.28, N = 4 SE +/- 0.54, N = 5 SE +/- 1.16, N = 5 SE +/- 0.73, N = 5 SE +/- 0.65, N = 5 SE +/- 5.83, N = 4 SE +/- 2.56, N = 4 SE +/- 0.48, N = 4 SE +/- 0.99, N = 5 SE +/- 0.58, N = 5 SE +/- 1.60, N = 4 447.43 631.13 544.96 557.39 619.98 758.15 721.25 706.55 837.83 908.69 794.70 868.94 748.15 778.19 754.14 861.27 820.83 779.01 1. (CC) gcc options: -pthread
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 150 300 450 600 750 SE +/- 1.76, N = 15 SE +/- 3.54, N = 15 SE +/- 2.59, N = 12 SE +/- 3.08, N = 15 SE +/- 2.95, N = 12 SE +/- 2.02, N = 15 SE +/- 1.96, N = 15 SE +/- 2.11, N = 15 SE +/- 2.74, N = 15 SE +/- 3.81, N = 15 SE +/- 2.72, N = 15 SE +/- 2.62, N = 15 SE +/- 2.18, N = 15 SE +/- 2.81, N = 15 SE +/- 2.60, N = 15 SE +/- 2.93, N = 15 SE +/- 3.43, N = 12 SE +/- 2.38, N = 15 357.20 527.41 470.28 468.57 544.85 507.97 515.09 503.65 581.29 601.51 682.74 610.03 533.83 628.21 558.82 716.07 700.00 661.37 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: MD5 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1000K 2000K 3000K 4000K 5000K SE +/- 4906.92, N = 3 SE +/- 333.33, N = 3 SE +/- 325.49, N = 3 SE +/- 7094.56, N = 13 SE +/- 16820.62, N = 6 SE +/- 881.92, N = 3 SE +/- 577.35, N = 3 SE +/- 333.33, N = 3 SE +/- 881.92, N = 3 SE +/- 666.67, N = 3 SE +/- 6245.00, N = 3 SE +/- 3179.80, N = 3 SE +/- 2006.09, N = 3 SE +/- 2333.33, N = 3 SE +/- 1201.85, N = 3 SE +/- 5811.87, N = 3 SE +/- 2728.45, N = 3 SE +/- 2081.67, N = 3 523206 1120333 579652 823848 1773000 1688667 1628000 1582667 2200333 2079667 3424000 2361333 335911 2877333 2094667 4617333 4163667 3009000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 160 320 480 640 800 SE +/- 0.55, N = 4 SE +/- 0.47, N = 4 SE +/- 0.48, N = 4 SE +/- 0.55, N = 5 SE +/- 0.73, N = 5 SE +/- 0.69, N = 4 SE +/- 0.46, N = 4 SE +/- 2.62, N = 4 SE +/- 0.44, N = 4 SE +/- 2.19, N = 5 SE +/- 2.56, N = 4 SE +/- 0.84, N = 4 SE +/- 0.04, N = 3 SE +/- 3.95, N = 4 SE +/- 2.32, N = 4 SE +/- 2.63, N = 4 SE +/- 1.82, N = 5 SE +/- 4.17, N = 5 294.77 436.21 342.47 475.29 605.33 371.06 335.57 326.06 420.61 738.58 439.12 419.73 55.05 440.63 349.39 455.63 548.27 517.73 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: WPA PSK Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40K 80K 120K 160K 200K SE +/- 136.69, N = 3 SE +/- 47.11, N = 3 SE +/- 11.89, N = 3 SE +/- 281.58, N = 6 SE +/- 99.11, N = 3 SE +/- 14.80, N = 3 SE +/- 44.69, N = 3 SE +/- 55.84, N = 3 SE +/- 90.21, N = 3 SE +/- 74.32, N = 3 SE +/- 99.67, N = 3 SE +/- 84.91, N = 3 SE +/- 121.23, N = 3 SE +/- 44.98, N = 3 SE +/- 47.55, N = 3 SE +/- 98.78, N = 3 SE +/- 318.36, N = 3 SE +/- 74.96, N = 3 17350 35241 20802 28162 56153 63745 61451 59670 84690 82142 129128 89227 33303 112964 79626 174583 163912 121552 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: asyncio_websockets Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80 160 240 320 400 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 2.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.00, N = 3 SE +/- 1.45, N = 3 229 203 244 215 180 329 337 358 318 334 321 311 312 316 334 312 312 321
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 100 200 300 400 500 SE +/- 3.82, N = 3 SE +/- 4.57, N = 3 SE +/- 3.31, N = 3 SE +/- 1.36, N = 3 SE +/- 3.10, N = 3 SE +/- 4.02, N = 3 SE +/- 4.54, N = 3 SE +/- 5.40, N = 3 SE +/- 1.00, N = 3 SE +/- 0.58, N = 3 SE +/- 1.16, N = 3 SE +/- 3.34, N = 3 SE +/- 2.69, N = 3 SE +/- 0.90, N = 3 SE +/- 2.79, N = 3 SE +/- 2.55, N = 3 SE +/- 5.03, N = 3 SE +/- 5.45, N = 5 447.21 244.45 311.33 283.98 225.01 283.63 285.17 288.92 256.71 256.79 238.91 250.47 289.10 241.47 262.45 235.02 233.19 231.84 MAX: 28312.3 MAX: 27697.62 MAX: 27288 MAX: 27976.11 MAX: 26849.04 MAX: 27510.5 MAX: 26949.15 MAX: 27202.04 MAX: 26916.29 MAX: 27003.83 MAX: 26837.19 MAX: 27820.07 MAX: 26954.05 MAX: 26941.92 MAX: 26976.99 MAX: 26740.41 MAX: 27612.44 MAX: 26972.9
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: HWB Color Space Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 2.00, N = 3 SE +/- 1.00, N = 3 227 338 273 328 401 220 217 204 241 225 254 251 220 255 220 283 256 252 1. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 10 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.22, N = 4 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.37, N = 3 SE +/- 0.41, N = 15 13.5 18.7 15.0 16.6 20.9 19.4 18.0 17.4 19.8 23.8 23.0 20.1 19.9 22.8 18.4 23.0 26.2 24.7 1. (CC) gcc options: -O3 -pthread -lz -llzma
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 2D Function Plotting, 1000 Times Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.49, N = 3 SE +/- 0.33, N = 3 SE +/- 0.63, N = 3 SE +/- 0.34, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.46, N = 3 SE +/- 0.37, N = 3 SE +/- 0.77, N = 7 SE +/- 0.63, N = 15 64.93 55.89 63.78 59.82 49.77 86.73 89.06 95.58 83.17 89.84 85.33 83.84 86.74 83.69 90.86 79.75 85.69 84.62
Selenium OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Speedometer 3.0 - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 16.7 20.5 18.4 19.2 20.7 29.7 26.3 25.1 30.7 30.2 31.3 31.6 31.1 30.7 26.5 31.5 30.5 29.8 1. chrome 125.0.6422.141
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.98, N = 3 SE +/- 1.81, N = 4 SE +/- 2.09, N = 3 SE +/- 0.71, N = 3 SE +/- 2.75, N = 3 SE +/- 0.98, N = 3 SE +/- 2.04, N = 3 SE +/- 1.33, N = 3 SE +/- 1.10, N = 3 SE +/- 1.84, N = 3 SE +/- 1.73, N = 3 SE +/- 2.29, N = 3 SE +/- 1.38, N = 7 SE +/- 1.13, N = 3 SE +/- 1.72, N = 3 SE +/- 0.77, N = 3 SE +/- 2.75, N = 12 SE +/- 2.66, N = 12 161.99 272.24 209.87 221.58 303.13 221.99 201.99 200.59 245.21 271.11 277.81 248.23 216.93 260.36 215.23 272.22 298.82 291.16 MIN: 4.67 / MAX: 10000 MIN: 14.27 / MAX: 10000 MIN: 7.89 / MAX: 8571.43 MIN: 9.24 / MAX: 8571.43 MIN: 22.36 / MAX: 10000 MIN: 7.91 / MAX: 10000 MIN: 7.68 / MAX: 10000 MIN: 7.5 / MAX: 10000 MIN: 10.25 / MAX: 12000 MIN: 10.01 / MAX: 12000 MIN: 16.12 / MAX: 8571.43 MIN: 10.94 / MAX: 12000 MIN: 7.34 / MAX: 10000 MIN: 13.78 / MAX: 7500 MIN: 9.25 / MAX: 10000 MIN: 19.99 / MAX: 10000 MIN: 19.87 / MAX: 10000 MIN: 14.8 / MAX: 12000
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 5.26, N = 3 SE +/- 9.74, N = 3 SE +/- 30.46, N = 12 SE +/- 17.75, N = 3 SE +/- 3.00, N = 3 SE +/- 8.67, N = 3 SE +/- 8.26, N = 3 SE +/- 3.21, N = 3 SE +/- 3.42, N = 3 SE +/- 5.57, N = 3 SE +/- 1.74, N = 3 SE +/- 3.86, N = 3 SE +/- 2.42, N = 3 SE +/- 5.09, N = 3 SE +/- 6.60, N = 3 SE +/- 5.39, N = 3 SE +/- 12.35, N = 3 SE +/- 3.47, N = 3 1131.86 1375.75 838.69 1318.46 1562.79 1320.29 1386.69 1363.98 1468.54 1461.59 1496.59 1475.90 1333.56 1482.64 1565.37 1447.13 1483.97 1501.62 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.62, N = 3 SE +/- 2.56, N = 4 SE +/- 0.82, N = 3 SE +/- 2.18, N = 3 SE +/- 1.57, N = 3 SE +/- 1.24, N = 3 SE +/- 1.82, N = 3 SE +/- 1.36, N = 3 SE +/- 1.76, N = 3 SE +/- 1.88, N = 3 SE +/- 3.24, N = 3 SE +/- 0.24, N = 3 SE +/- 1.34, N = 7 SE +/- 1.99, N = 3 SE +/- 3.77, N = 3 SE +/- 1.69, N = 3 SE +/- 1.82, N = 12 SE +/- 2.57, N = 12 163.13 274.29 210.09 223.58 300.48 223.33 202.38 200.63 249.21 265.67 279.10 252.23 219.89 266.26 211.08 268.97 301.24 292.70 MIN: 4.62 / MAX: 10000 MIN: 13.38 / MAX: 10000 MIN: 7.82 / MAX: 10000 MIN: 9.13 / MAX: 7500 MIN: 19.44 / MAX: 10000 MIN: 7.91 / MAX: 10000 MIN: 7.69 / MAX: 8571.43 MIN: 7.53 / MAX: 8571.43 MIN: 10.37 / MAX: 10000 MIN: 9.99 / MAX: 10000 MIN: 16.01 / MAX: 12000 MIN: 10.92 / MAX: 12000 MIN: 7.62 / MAX: 12000 MIN: 13.57 / MAX: 8571.43 MIN: 9.21 / MAX: 8571.43 MIN: 20.25 / MAX: 10000 MIN: 14.75 / MAX: 12000 MIN: 14.71 / MAX: 10000
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: pathlib Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.14, N = 6 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 10.90 9.62 11.60 10.20 8.57 14.60 14.90 15.80 14.10 14.90 13.80 13.60 13.70 13.90 14.80 13.70 13.90 14.50
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Upload Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 20.03 27.69 22.63 24.01 32.72 29.64 28.04 26.95 32.46 30.40 34.50 33.51 29.90 33.47 28.99 36.76 33.86 32.60 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
DuckDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 1.0 Benchmark: IMDB Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 138.70 85.14 109.43 101.34 76.00 105.16 111.12 115.30 92.59 96.36 81.03 90.01 107.46 84.88 104.57 76.81 79.83 85.52 1. (CXX) g++ options: -O3 -ldl
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Encryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 105.35, N = 3 SE +/- 43.35, N = 3 SE +/- 24.01, N = 12 SE +/- 9.00, N = 3 SE +/- 189.70, N = 15 SE +/- 8.95, N = 3 SE +/- 8.82, N = 3 SE +/- 3.50, N = 3 SE +/- 7.08, N = 3 SE +/- 12.64, N = 3 SE +/- 114.87, N = 3 SE +/- 2.70, N = 8 SE +/- 5.40, N = 3 SE +/- 19.48, N = 3 SE +/- 5.08, N = 3 SE +/- 54.13, N = 3 SE +/- 37.01, N = 3 SE +/- 3.57, N = 15 8457.3 9812.3 8052.7 9110.5 9578.0 5936.8 5813.6 5461.6 6168.9 5617.2 6298.6 6390.0 6284.9 6240.7 5924.3 6382.6 6548.3 5605.1
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Decryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 140.15, N = 3 SE +/- 34.07, N = 3 SE +/- 27.10, N = 12 SE +/- 17.10, N = 3 SE +/- 186.41, N = 15 SE +/- 1.48, N = 3 SE +/- 4.47, N = 3 SE +/- 0.76, N = 3 SE +/- 3.74, N = 3 SE +/- 3.50, N = 3 SE +/- 114.93, N = 3 SE +/- 2.19, N = 8 SE +/- 18.23, N = 3 SE +/- 14.27, N = 3 SE +/- 9.34, N = 3 SE +/- 25.66, N = 3 SE +/- 9.29, N = 3 SE +/- 2.74, N = 15 8434.3 9795.3 8046.0 9124.5 9580.5 5963.3 5813.5 5464.1 6187.3 5636.0 6326.6 6408.8 6279.3 6255.5 5920.1 6370.7 6590.1 5693.5
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60 120 180 240 300 SE +/- 1.41, N = 3 SE +/- 2.99, N = 4 SE +/- 1.61, N = 3 SE +/- 2.40, N = 3 SE +/- 3.18, N = 3 SE +/- 2.00, N = 3 SE +/- 1.69, N = 3 SE +/- 0.17, N = 3 SE +/- 1.77, N = 3 SE +/- 0.56, N = 3 SE +/- 2.02, N = 3 SE +/- 1.52, N = 3 SE +/- 1.73, N = 7 SE +/- 1.29, N = 3 SE +/- 0.82, N = 3 SE +/- 0.59, N = 3 SE +/- 2.57, N = 12 SE +/- 2.39, N = 12 150.27 252.15 194.82 210.92 267.84 203.75 185.77 182.30 224.61 242.53 245.31 227.48 194.59 243.02 196.37 239.33 265.64 251.52 MIN: 4.58 / MAX: 10000 MIN: 13.57 / MAX: 10000 MIN: 7.83 / MAX: 8571.43 MIN: 9.09 / MAX: 8571.43 MIN: 18 / MAX: 8571.43 MIN: 7.73 / MAX: 10000 MIN: 7.55 / MAX: 10000 MIN: 7.38 / MAX: 8571.43 MIN: 10.11 / MAX: 10000 MIN: 10.09 / MAX: 10000 MIN: 15.67 / MAX: 8571.43 MIN: 10.76 / MAX: 10000 MIN: 7.45 / MAX: 10000 MIN: 13.18 / MAX: 8571.43 MIN: 9.04 / MAX: 8571.43 MIN: 12.14 / MAX: 8571.43 MIN: 12.19 / MAX: 10000 MIN: 14.43 / MAX: 10000
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 14 28 42 56 70 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 60.07 40.22 50.75 42.80 34.90 51.01 52.35 54.62 46.64 48.06 52.63 45.13 62.09 43.20 61.46 40.69 52.39 43.92 1. RawTherapee, version 5.10, command line.
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Decryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 136.75, N = 3 SE +/- 28.07, N = 3 SE +/- 28.86, N = 12 SE +/- 22.40, N = 3 SE +/- 150.65, N = 15 SE +/- 11.39, N = 3 SE +/- 2.34, N = 3 SE +/- 9.88, N = 3 SE +/- 13.57, N = 3 SE +/- 5.78, N = 3 SE +/- 90.89, N = 3 SE +/- 8.48, N = 7 SE +/- 18.35, N = 3 SE +/- 23.22, N = 3 SE +/- 16.67, N = 3 SE +/- 35.19, N = 3 SE +/- 13.70, N = 3 SE +/- 3.19, N = 15 7597.1 9024.9 7421.3 8396.1 8679.0 5533.3 5451.3 5085.0 5765.7 5385.5 5899.4 5964.7 5845.7 5818.0 5523.0 5898.9 6129.9 5397.5
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Encryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2K 4K 6K 8K 10K SE +/- 128.65, N = 3 SE +/- 27.42, N = 3 SE +/- 26.37, N = 12 SE +/- 29.26, N = 3 SE +/- 164.57, N = 15 SE +/- 10.98, N = 3 SE +/- 2.24, N = 3 SE +/- 4.59, N = 3 SE +/- 9.28, N = 3 SE +/- 2.64, N = 3 SE +/- 88.68, N = 3 SE +/- 7.32, N = 8 SE +/- 15.42, N = 3 SE +/- 22.54, N = 3 SE +/- 10.43, N = 3 SE +/- 33.75, N = 3 SE +/- 15.41, N = 3 SE +/- 3.19, N = 15 7686.2 9016.8 7420.2 8412.9 8800.5 5538.8 5461.6 5102.7 5760.0 5381.9 5899.2 5962.8 5858.0 5819.4 5536.0 5895.8 6129.0 5345.9
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 321.79 232.30 327.34 274.02 202.75 284.44 297.94 298.92 241.69 224.62 209.90 240.60 274.50 219.33 259.69 195.62 185.46 196.42 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Platform Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 42.56 55.52 45.78 47.73 65.80 61.40 58.04 55.81 66.53 62.53 70.27 68.43 62.13 68.22 59.43 74.81 68.92 66.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Video On Demand Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 42.58 55.55 45.90 47.64 65.83 61.46 58.05 55.89 66.48 62.51 70.28 68.44 62.17 68.25 59.38 74.84 68.95 66.16 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: TopTweet Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.14, N = 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 15 6.66 7.07 5.96 7.00 8.00 9.52 9.24 8.69 9.90 8.98 10.28 10.20 10.06 10.04 9.40 10.15 9.39 9.98 1. (CXX) g++ options: -O3
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: nbody Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 14 28 42 56 70 SE +/- 0.55, N = 3 SE +/- 0.38, N = 3 SE +/- 0.43, N = 3 SE +/- 0.22, N = 3 SE +/- 0.27, N = 12 SE +/- 0.06, N = 3 SE +/- 0.62, N = 3 SE +/- 0.21, N = 3 SE +/- 0.70, N = 4 SE +/- 0.57, N = 3 SE +/- 0.67, N = 3 SE +/- 0.50, N = 3 SE +/- 0.18, N = 3 SE +/- 0.60, N = 3 SE +/- 0.67, N = 3 SE +/- 0.44, N = 10 SE +/- 0.44, N = 11 SE +/- 0.20, N = 3 47.0 41.4 49.6 43.9 37.9 58.7 60.9 64.9 58.2 63.2 57.8 56.8 56.0 56.5 61.5 57.1 58.6 58.3
srsRAN Project srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Thread Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 1.09, N = 8 SE +/- 1.57, N = 8 SE +/- 2.28, N = 8 SE +/- 5.61, N = 8 SE +/- 9.43, N = 15 SE +/- 1.28, N = 9 SE +/- 6.99, N = 15 SE +/- 4.89, N = 9 SE +/- 1.65, N = 9 SE +/- 1.27, N = 9 SE +/- 7.07, N = 14 SE +/- 5.01, N = 10 SE +/- 7.62, N = 10 SE +/- 2.10, N = 9 SE +/- 6.71, N = 15 SE +/- 4.02, N = 10 SE +/- 5.87, N = 14 SE +/- 6.22, N = 15 669.7 797.2 689.5 723.0 841.7 907.1 1046.0 998.7 896.6 905.2 1085.6 979.5 1143.5 884.8 1012.7 1006.1 883.4 927.7 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.51, N = 4 SE +/- 0.61, N = 15 SE +/- 0.42, N = 5 SE +/- 0.67, N = 15 SE +/- 0.69, N = 15 SE +/- 0.72, N = 15 SE +/- 0.49, N = 5 SE +/- 0.68, N = 7 SE +/- 0.41, N = 6 SE +/- 0.87, N = 15 SE +/- 0.77, N = 6 SE +/- 0.49, N = 6 SE +/- 0.49, N = 15 SE +/- 0.40, N = 6 SE +/- 0.32, N = 5 SE +/- 0.43, N = 6 SE +/- 0.24, N = 6 SE +/- 0.63, N = 6 55.15 81.74 72.58 78.03 65.31 78.14 75.35 72.94 90.70 93.88 90.47 91.30 75.70 91.68 76.84 93.59 91.42 91.38 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.11, N = 15 SE +/- 0.23, N = 13 SE +/- 0.22, N = 12 8.33 10.20 8.80 9.50 11.70 11.00 10.30 9.82 11.30 13.60 13.50 11.60 11.50 12.40 10.30 13.10 14.00 13.40 1. (CC) gcc options: -O3 -pthread -lz -llzma
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.73, N = 5 SE +/- 0.92, N = 6 SE +/- 0.16, N = 6 SE +/- 0.86, N = 7 SE +/- 1.22, N = 15 SE +/- 0.14, N = 6 SE +/- 0.77, N = 15 SE +/- 0.89, N = 15 SE +/- 0.17, N = 7 SE +/- 0.11, N = 7 SE +/- 0.19, N = 6 SE +/- 0.21, N = 7 SE +/- 1.46, N = 15 SE +/- 0.54, N = 6 SE +/- 0.07, N = 6 SE +/- 0.82, N = 6 SE +/- 0.80, N = 15 SE +/- 0.44, N = 6 73.40 98.61 90.68 98.64 80.94 99.05 96.10 92.35 111.81 122.60 106.02 111.75 93.66 106.04 99.76 104.19 101.14 109.05 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Gridding Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 600 1200 1800 2400 3000 SE +/- 2.16, N = 3 SE +/- 1.42, N = 3 SE +/- 6.16, N = 3 SE +/- 3.14, N = 3 SE +/- 1.14, N = 3 SE +/- 0.31, N = 3 SE +/- 8.99, N = 3 SE +/- 2.79, N = 3 SE +/- 9.25, N = 3 SE +/- 22.35, N = 3 SE +/- 6.34, N = 3 SE +/- 9.21, N = 3 SE +/- 2.54, N = 3 SE +/- 1.17, N = 3 SE +/- 12.12, N = 3 SE +/- 2.11, N = 3 SE +/- 1.23, N = 3 SE +/- 7.74, N = 3 2286.28 2754.85 2609.85 2677.74 2850.20 1723.03 1817.88 1807.86 1803.95 1908.03 2057.39 1794.58 1726.45 2078.77 1870.26 2189.35 2291.60 2153.79 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Z3 Theorem Prover The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 4 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 4 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 4 SE +/- 0.49, N = 15 20.91 17.61 20.84 18.42 13.96 18.53 21.57 22.36 18.59 14.02 18.40 17.77 17.84 18.06 21.94 17.69 13.60 16.90 1. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.65, N = 3 SE +/- 0.57, N = 3 SE +/- 0.33, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.43, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.55, N = 3 SE +/- 0.41, N = 3 SE +/- 0.31, N = 3 SE +/- 0.72, N = 3 SE +/- 0.81, N = 3 84.79 62.89 82.58 63.24 51.63 83.74 83.33 84.16 79.30 69.22 70.07 78.90 82.54 69.64 79.70 68.92 60.55 62.02 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 13 26 39 52 65 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.05, N = 3 SE +/- 0.45, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.57, N = 15 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 0.08, N = 3 SE +/- 0.31, N = 8 SE +/- 0.22, N = 3 SE +/- 0.35, N = 3 SE +/- 0.23, N = 3 40.42 52.09 39.41 41.62 54.71 54.63 50.46 49.00 58.82 58.08 50.29 58.57 50.99 55.76 36.08 59.15 56.75 57.24 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.26, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.23, N = 15 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.24, N = 8 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 24.74 19.20 25.37 24.03 18.28 18.30 19.81 20.40 17.00 17.22 19.92 17.07 19.61 17.93 27.73 16.91 17.62 17.47 1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: DistinctUserID Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.10, N = 12 SE +/- 0.13, N = 15 SE +/- 0.00, N = 3 SE +/- 0.18, N = 15 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 7 SE +/- 0.01, N = 3 SE +/- 0.11, N = 4 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 15 6.73 7.11 6.07 7.18 7.63 9.19 8.92 8.37 9.49 8.78 9.92 9.87 9.70 9.67 9.06 9.67 9.00 9.70 1. (CXX) g++ options: -O3
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 1.00, N = 3 SE +/- 0.88, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 3.84, N = 3 SE +/- 0.88, N = 3 SE +/- 0.00, N = 3 SE +/- 1.53, N = 3 SE +/- 1.67, N = 3 SE +/- 0.00, N = 3 SE +/- 1.20, N = 3 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 SE +/- 1.45, N = 3 SE +/- 0.33, N = 3 SE +/- 3.21, N = 3 SE +/- 2.08, N = 3 SE +/- 2.85, N = 3 916 813 949 870 690 646 690 727 636 589 609 614 620 633 684 615 584 582
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Live Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 0.45, N = 3 SE +/- 0.08, N = 3 SE +/- 0.59, N = 3 SE +/- 0.50, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 0.23, N = 3 SE +/- 0.76, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.75, N = 3 SE +/- 1.30, N = 3 SE +/- 0.28, N = 3 118.56 151.74 131.73 132.32 178.48 165.32 155.79 149.30 178.37 168.57 184.34 183.99 169.29 178.72 158.64 193.31 178.75 172.61 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.43, N = 5 SE +/- 0.89, N = 15 SE +/- 0.50, N = 6 SE +/- 0.92, N = 6 SE +/- 1.38, N = 15 SE +/- 0.23, N = 6 SE +/- 0.12, N = 6 SE +/- 0.06, N = 6 SE +/- 0.20, N = 7 SE +/- 0.11, N = 7 SE +/- 0.12, N = 6 SE +/- 0.32, N = 7 SE +/- 0.22, N = 6 SE +/- 0.24, N = 6 SE +/- 0.45, N = 6 SE +/- 0.95, N = 7 SE +/- 0.79, N = 6 SE +/- 0.42, N = 7 74.55 98.36 89.03 97.91 81.55 98.04 95.57 92.35 110.39 120.79 104.76 110.40 94.80 105.24 98.11 102.67 100.22 106.98 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6K 12K 18K 24K 30K SE +/- 30.16, N = 5 SE +/- 21.86, N = 6 SE +/- 181.49, N = 15 SE +/- 24.86, N = 6 SE +/- 150.10, N = 6 SE +/- 33.19, N = 5 SE +/- 28.36, N = 5 SE +/- 9.71, N = 5 SE +/- 17.62, N = 6 SE +/- 19.57, N = 6 SE +/- 12.38, N = 6 SE +/- 13.32, N = 6 SE +/- 10.23, N = 5 SE +/- 32.61, N = 6 SE +/- 13.41, N = 6 SE +/- 20.20, N = 6 SE +/- 9.93, N = 6 SE +/- 15.97, N = 6 21535.52 26231.75 18243.54 29376.84 28524.18 20723.58 20720.12 20627.63 23975.20 25299.42 25517.27 23995.91 21109.39 25489.92 23056.98 23755.42 24452.58 25989.29 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 600 1200 1800 2400 3000 2643.83 2179.78 2802.15 2061.02 1747.58 2666.28 2660.77 2653.98 2553.49 2150.44 2159.98 2529.45 2663.72 2187.05 2551.01 2119.26 1867.83 1912.86 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.50, N = 3 SE +/- 0.94, N = 3 SE +/- 0.63, N = 3 SE +/- 0.04, N = 3 SE +/- 0.51, N = 3 SE +/- 0.19, N = 3 SE +/- 0.24, N = 3 SE +/- 0.73, N = 3 SE +/- 0.69, N = 13 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.34, N = 3 SE +/- 0.26, N = 3 SE +/- 0.12, N = 3 SE +/- 0.67, N = 3 SE +/- 0.18, N = 3 SE +/- 0.29, N = 3 91.20 72.97 86.60 77.52 62.09 81.82 96.36 99.53 79.93 73.59 76.10 77.23 78.98 74.85 95.86 73.76 79.25 73.99 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
Z3 Theorem Prover The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 16 32 48 64 80 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.38, N = 8 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.29, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 69.83 59.14 67.06 62.07 50.22 47.37 52.95 55.18 45.97 45.73 44.88 43.83 44.91 45.07 51.65 44.61 44.12 45.15 1. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
Selenium OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300 600 900 1200 1500 SE +/- 9.11, N = 4 SE +/- 10.33, N = 4 SE +/- 6.88, N = 4 SE +/- 11.65, N = 4 SE +/- 5.42, N = 4 SE +/- 5.12, N = 4 SE +/- 2.78, N = 4 SE +/- 4.27, N = 4 SE +/- 3.09, N = 4 SE +/- 4.37, N = 4 SE +/- 5.54, N = 4 SE +/- 3.47, N = 4 SE +/- 2.96, N = 4 SE +/- 4.70, N = 4 SE +/- 6.50, N = 4 SE +/- 1.25, N = 4 SE +/- 4.97, N = 4 SE +/- 4.77, N = 4 1157 1048 1170 1074 1011 789 817 858 747 779 744 740 744 743 818 736 757 774 1. chrome 125.0.6422.141
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.03, N = 6 SE +/- 0.02, N = 6 SE +/- 0.04, N = 6 SE +/- 0.02, N = 6 SE +/- 0.03, N = 6 SE +/- 0.20, N = 8 SE +/- 0.02, N = 6 SE +/- 0.03, N = 6 SE +/- 0.15, N = 6 SE +/- 0.02, N = 6 SE +/- 0.02, N = 6 SE +/- 0.04, N = 6 SE +/- 0.16, N = 10 SE +/- 0.03, N = 6 SE +/- 0.05, N = 6 SE +/- 0.03, N = 3 SE +/- 0.03, N = 6 SE +/- 0.07, N = 6 18.5 16.3 18.4 17.3 14.7 23.0 19.2 20.4 22.5 22.1 19.5 20.2 19.9 22.4 19.0 19.5 20.4 20.2 1. firefox 126.0.1
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Speedometer 3.0 - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.28, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.37, N = 3 SE +/- 0.20, N = 3 18.7 20.2 18.1 19.1 19.7 26.5 24.4 23.4 27.5 28.0 27.9 28.2 27.8 27.4 24.6 27.7 27.4 27.1 1. firefox 126.0.1
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15M 30M 45M 60M 75M SE +/- 40834.35, N = 3 SE +/- 25783.28, N = 3 SE +/- 246054.87, N = 3 SE +/- 280525.10, N = 3 SE +/- 11170.40, N = 3 SE +/- 7637.63, N = 3 SE +/- 30369.94, N = 3 SE +/- 4725.82, N = 3 SE +/- 4255.72, N = 3 SE +/- 333.33, N = 3 SE +/- 74702.37, N = 3 SE +/- 2333.33, N = 3 SE +/- 9261.63, N = 3 SE +/- 11348.03, N = 3 SE +/- 40813.94, N = 3 SE +/- 6027.71, N = 3 SE +/- 2645.75, N = 3 SE +/- 759026.57, N = 3 55368667 62861333 54955000 58909000 71221333 50044000 48790000 45795000 51962667 49120667 54733667 53961667 53281333 52833333 49356667 55465000 51225000 53809000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: float Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 13 26 39 52 65 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.59, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.37, N = 3 SE +/- 0.33, N = 3 47.1 43.4 50.7 43.5 36.2 51.0 52.6 56.1 49.2 53.8 49.5 48.1 48.7 49.3 52.5 49.3 49.5 51.5
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 130 260 390 520 650 SE +/- 1.03, N = 4 SE +/- 0.24, N = 5 SE +/- 0.41, N = 4 SE +/- 0.55, N = 5 SE +/- 0.40, N = 5 SE +/- 3.54, N = 4 SE +/- 2.22, N = 4 SE +/- 0.75, N = 4 SE +/- 1.08, N = 4 SE +/- 1.83, N = 4 SE +/- 1.71, N = 4 SE +/- 2.66, N = 4 SE +/- 0.48, N = 4 SE +/- 1.65, N = 4 SE +/- 1.55, N = 4 SE +/- 5.41, N = 4 SE +/- 5.67, N = 15 SE +/- 9.01, N = 15 492 434 493 462 390 561 555 592 539 602 556 537 529 551 553 549 573 560
Llama.cpp OpenBenchmarking.org Tokens Per Second, More Is Better Llama.cpp b3067 Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 8.25 7.80 6.19 9.23 9.53 7.16 9.18 9.18 7.16 7.16 7.76 7.17 6.25 8.53 8.39 8.29 7.57 8.42 1. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-whirlpool Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 300K 600K 900K 1200K 1500K SE +/- 7731.10, N = 3 SE +/- 1653.28, N = 3 SE +/- 2263.88, N = 12 SE +/- 408.00, N = 3 SE +/- 328.30, N = 15 SE +/- 4888.27, N = 3 SE +/- 968.79, N = 3 SE +/- 984.00, N = 3 SE +/- 0.00, N = 3 SE +/- 1831.07, N = 3 SE +/- 1514.95, N = 3 SE +/- 1011.28, N = 8 SE +/- 0.00, N = 3 SE +/- 1221.00, N = 3 SE +/- 6152.10, N = 3 SE +/- 1849.00, N = 3 SE +/- 1837.42, N = 3 SE +/- 11120.36, N = 15 1053606 1201581 1057263 1133187 1339406 950996 937905 880172 992969 911812 948656 1004871 1002462 980591 948159 985510 913401 945196
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 400K 800K 1200K 1600K 2000K SE +/- 2895.59, N = 4 SE +/- 2155.69, N = 4 SE +/- 2008.24, N = 4 SE +/- 2526.86, N = 4 SE +/- 1645.49, N = 4 SE +/- 11199.19, N = 3 SE +/- 7923.69, N = 3 SE +/- 4419.43, N = 3 SE +/- 8404.84, N = 3 SE +/- 10902.02, N = 3 SE +/- 6929.21, N = 3 SE +/- 14566.64, N = 3 SE +/- 9676.35, N = 3 SE +/- 14752.40, N = 3 SE +/- 7697.71, N = 3 SE +/- 10378.90, N = 8 SE +/- 6829.19, N = 3 SE +/- 14716.11, N = 3 1293269 1467536 1302012 1383224 1638204 1107821 1165326 1087378 1168027 1105785 1194525 1183018 1195421 1184117 1151798 1186698 1122259 1200157
Google Draco Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Church Facade Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1100 2200 3300 4400 5500 SE +/- 9.42, N = 6 SE +/- 14.26, N = 7 SE +/- 15.32, N = 7 SE +/- 2.43, N = 7 SE +/- 13.79, N = 8 SE +/- 3.29, N = 7 SE +/- 8.88, N = 7 SE +/- 4.11, N = 7 SE +/- 3.22, N = 7 SE +/- 4.35, N = 8 SE +/- 2.36, N = 7 SE +/- 4.59, N = 7 SE +/- 10.62, N = 7 SE +/- 14.61, N = 7 SE +/- 7.17, N = 7 SE +/- 11.67, N = 7 SE +/- 5.17, N = 8 SE +/- 115.17, N = 15 5297 4597 5011 4715 3971 4586 4774 4932 4489 3579 4555 4410 4451 4471 4746 4515 3526 3906 1. (CXX) g++ options: -O3
Renaissance Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: Savina Reactors.IO Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 900 1800 2700 3600 4500 SE +/- 7.86, N = 3 SE +/- 22.37, N = 3 SE +/- 26.94, N = 3 SE +/- 10.71, N = 3 SE +/- 6.06, N = 3 SE +/- 16.98, N = 3 SE +/- 27.82, N = 8 SE +/- 22.03, N = 3 SE +/- 23.38, N = 3 SE +/- 22.84, N = 3 SE +/- 27.05, N = 3 SE +/- 5.83, N = 3 SE +/- 24.04, N = 3 SE +/- 9.78, N = 3 SE +/- 16.91, N = 3 SE +/- 15.32, N = 3 SE +/- 8.19, N = 3 SE +/- 21.16, N = 3 4176.6 3637.4 4369.8 3915.5 3235.7 3171.0 3262.0 3449.6 3024.1 3092.9 3131.9 2921.4 3055.0 3209.6 3195.9 3052.7 3159.8 3288.1 MIN: 4164.32 / MAX: 5743.86 MIN: 3592.88 / MAX: 5074.82 MIN: 4320.19 / MAX: 6006.47 MIN: 3897.26 / MAX: 5341.24 MIN: 3225.57 / MAX: 4516.14 MIN: 3152.36 / MAX: 4167.15 MIN: 3168.34 / MAX: 5234.36 MIN: 3418.71 / MAX: 4647.19 MIN: 2977.71 / MAX: 4097.24 MIN: 3047.3 / MAX: 4138.1 MIN: 3101.99 / MAX: 4406.37 MIN: 2909.77 / MAX: 3848.89 MIN: 3030.58 / MAX: 4180.64 MIN: 3196.1 / MAX: 4439.37 MIN: 3164.46 / MAX: 4422.71 MIN: 3022.06 / MAX: 4106.16 MIN: 3144.79 / MAX: 4535.1 MIN: 3258.1 / MAX: 4542.73
DuckDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 1.0 Benchmark: TPC-H Parquet Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.33, N = 3 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.52, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.90, N = 3 SE +/- 0.48, N = 3 123.09 93.52 114.97 99.81 82.51 103.42 105.04 111.02 96.28 101.70 91.93 93.31 99.82 94.00 103.95 90.28 92.57 96.24 1. (CXX) g++ options: -O3 -ldl
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: PartialTweets Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 4 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 15 6.07 6.56 5.78 6.38 6.18 8.02 7.87 7.39 8.32 7.58 8.61 8.61 8.45 8.46 8.03 8.55 7.80 8.10 1. (CXX) g++ options: -O3
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 1.00, N = 3 SE +/- 0.77, N = 3 SE +/- 1.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 SE +/- 0.82, N = 3 SE +/- 0.62, N = 3 SE +/- 0.64, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.65, N = 3 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 SE +/- 0.62, N = 3 SE +/- 0.35, N = 3 SE +/- 0.53, N = 3 89.05 72.17 81.16 71.96 60.17 73.19 79.54 82.28 71.84 64.51 71.00 70.77 73.03 66.52 78.46 65.50 71.73 61.73 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: xml_etree Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.31, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.35, N = 3 33.5 29.7 35.4 31.3 26.4 36.7 36.5 38.9 35.0 38.4 35.0 34.4 34.6 35.3 36.8 34.8 35.2 36.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: async_tree_io Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 160 320 480 640 800 SE +/- 0.67, N = 3 SE +/- 1.15, N = 3 SE +/- 1.20, N = 3 SE +/- 0.00, N = 3 SE +/- 5.29, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 8.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.53, N = 3 SE +/- 0.88, N = 3 SE +/- 4.84, N = 3 SE +/- 7.88, N = 3 653 605 640 596 517 702 730 760 685 547 688 673 679 688 729 683 590 614
Selenium OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.03, N = 6 SE +/- 0.01, N = 6 SE +/- 0.02, N = 6 SE +/- 0.07, N = 6 SE +/- 0.05, N = 6 SE +/- 0.04, N = 6 SE +/- 0.02, N = 6 SE +/- 0.03, N = 6 SE +/- 0.05, N = 6 SE +/- 0.06, N = 6 SE +/- 0.07, N = 6 SE +/- 0.02, N = 6 SE +/- 0.04, N = 3 SE +/- 0.07, N = 6 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.02, N = 6 SE +/- 0.02, N = 6 19.06 16.14 18.45 17.70 14.65 21.48 18.08 19.26 21.01 20.77 18.36 19.02 18.80 21.07 17.97 18.50 19.15 18.98 1. chrome 125.0.6422.141
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60 120 180 240 300 SE +/- 0.53, N = 5 SE +/- 1.53, N = 15 SE +/- 1.36, N = 5 SE +/- 0.87, N = 5 SE +/- 1.56, N = 15 SE +/- 0.08, N = 4 SE +/- 0.14, N = 4 SE +/- 0.22, N = 4 SE +/- 0.17, N = 4 SE +/- 0.05, N = 4 SE +/- 1.24, N = 5 SE +/- 0.02, N = 4 SE +/- 0.08, N = 4 SE +/- 0.07, N = 4 SE +/- 0.17, N = 4 SE +/- 0.20, N = 5 SE +/- 2.37, N = 15 SE +/- 0.07, N = 4 228.02 197.55 223.58 213.56 175.17 245.20 240.88 256.29 235.86 250.48 221.91 226.75 231.38 231.34 237.35 220.07 231.47 245.26 1. chrome 125.0.6422.141
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: gc_collect Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 0.67, N = 3 SE +/- 2.65, N = 3 SE +/- 4.93, N = 3 SE +/- 3.67, N = 3 SE +/- 5.03, N = 3 SE +/- 0.58, N = 3 SE +/- 3.18, N = 3 SE +/- 0.88, N = 3 SE +/- 0.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 1.45, N = 3 SE +/- 2.40, N = 3 822 703 908 814 621 694 772 814 668 729 642 646 657 659 745 651 670 690
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 0.2 Input: 26 Minute Long Talking Sample Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.021, N = 6 SE +/- 0.020, N = 6 SE +/- 0.029, N = 6 SE +/- 0.031, N = 6 SE +/- 0.027, N = 7 SE +/- 0.017, N = 6 SE +/- 0.008, N = 6 SE +/- 0.015, N = 6 SE +/- 0.016, N = 6 SE +/- 0.020, N = 5 SE +/- 0.023, N = 6 SE +/- 0.009, N = 6 SE +/- 0.015, N = 6 SE +/- 0.012, N = 6 SE +/- 0.015, N = 6 SE +/- 0.023, N = 6 SE +/- 0.121, N = 15 SE +/- 0.017, N = 6 7.968 6.602 8.276 7.560 5.843 7.625 7.712 8.155 7.385 8.536 6.997 7.106 7.140 7.307 7.582 7.148 7.690 7.139 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: chaos Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.38, N = 3 SE +/- 0.38, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.18, N = 3 SE +/- 0.18, N = 3 36.6 32.4 39.2 34.2 29.3 39.6 39.9 42.6 38.1 41.6 38.5 38.0 37.6 37.9 39.8 37.8 37.7 39.1
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 1.02, N = 3 SE +/- 5.75, N = 3 SE +/- 1.19, N = 3 SE +/- 1.71, N = 3 SE +/- 2.93, N = 3 SE +/- 3.56, N = 3 SE +/- 0.94, N = 3 SE +/- 3.14, N = 3 SE +/- 4.70, N = 3 SE +/- 2.49, N = 3 SE +/- 10.07, N = 3 SE +/- 3.28, N = 3 SE +/- 2.26, N = 3 SE +/- 1.35, N = 3 SE +/- 1.69, N = 3 SE +/- 1.16, N = 3 SE +/- 0.95, N = 3 SE +/- 6.78, N = 15 550.56 651.96 573.04 611.61 778.63 737.80 692.10 656.04 768.49 724.33 771.70 793.30 782.66 781.58 695.67 780.26 751.10 775.97
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.19, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 4 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.42, N = 3 SE +/- 0.07, N = 3 SE +/- 0.31, N = 3 SE +/- 0.14, N = 3 SE +/- 0.26, N = 3 54.21 65.82 56.02 64.37 77.85 60.82 59.49 56.41 68.19 64.96 67.64 70.13 61.16 65.88 59.09 71.12 65.93 64.02 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 2.98, N = 3 SE +/- 0.18, N = 3 SE +/- 2.84, N = 3 SE +/- 3.10, N = 4 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.65, N = 3 SE +/- 0.62, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 212.4 264.9 221.0 275.1 302.7 225.2 258.8 259.4 239.6 240.4 243.6 239.9 227.1 243.2 263.9 241.9 246.5 248.1 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2
srsRAN Project srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Thread Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.12, N = 3 SE +/- 0.18, N = 3 SE +/- 0.20, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 SE +/- 0.00, N = 4 SE +/- 0.05, N = 4 SE +/- 0.00, N = 3 SE +/- 0.02, N = 4 SE +/- 7.03, N = 15 SE +/- 0.00, N = 4 SE +/- 0.02, N = 4 SE +/- 0.68, N = 4 SE +/- 0.00, N = 4 SE +/- 0.50, N = 4 SE +/- 0.00, N = 4 SE +/- 0.00, N = 4 SE +/- 0.00, N = 4 129.0 129.1 128.9 128.7 182.0 183.4 183.2 129.5 183.4 161.8 183.4 183.3 181.9 183.3 182.1 183.3 183.4 183.3 MIN: 105.1 / MAX: 129.2 MIN: 105.1 / MAX: 129.4 MIN: 105.1 / MAX: 129.3 MIN: 105.1 MIN: 105.1 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.7 / MAX: 183.3 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.7 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 / MAX: 183.5 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 / MAX: 183.3 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 / MAX: 183.4 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 104 / MAX: 183.5 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 103.7 / MAX: 183.5 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: raytrace Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 2.25, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.67, N = 3 SE +/- 1.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 1.00, N = 3 SE +/- 1.20, N = 3 SE +/- 1.45, N = 3 SE +/- 0.67, N = 3 SE +/- 1.73, N = 3 173 153 183 162 137 182 185 195 174 189 173 173 171 175 184 173 175 179
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 48.25 45.82 48.18 49.08 44.48 37.44 35.57 37.95 38.19 34.53 38.54 37.19 36.81 39.26 36.80 38.35 35.15 37.55
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: Kostya Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 15 4.27 4.80 4.29 4.58 5.27 5.71 5.62 5.28 5.92 5.53 5.77 6.05 5.99 5.98 5.64 5.97 5.66 5.78 1. (CXX) g++ options: -O3
Radiance Benchmark This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: SMP Parallel Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30 60 90 120 150 144.89 118.15 148.84 140.27 113.54 112.29 117.50 124.09 108.38 121.85 108.85 113.16 108.69 111.69 116.39 107.40 110.57 116.87
Perl Benchmarks Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.0169 0.0338 0.0507 0.0676 0.0845 SE +/- 0.00019724, N = 3 SE +/- 0.00057068, N = 3 SE +/- 0.00218182, N = 12 SE +/- 0.00008439, N = 3 SE +/- 0.00010851, N = 3 SE +/- 0.00123307, N = 13 SE +/- 0.00029666, N = 3 SE +/- 0.00030558, N = 3 SE +/- 0.00046050, N = 3 SE +/- 0.00016063, N = 3 SE +/- 0.00026359, N = 3 SE +/- 0.00016252, N = 3 SE +/- 0.00024209, N = 3 SE +/- 0.00075546, N = 15 SE +/- 0.00013333, N = 3 SE +/- 0.00037718, N = 3 SE +/- 0.00194056, N = 15 SE +/- 0.00153695, N = 15 0.06908735 0.06116274 0.07498283 0.06402133 0.05412871 0.06640885 0.06806291 0.07158603 0.06308844 0.06969121 0.06160696 0.06102284 0.06144356 0.06343285 0.06806943 0.06089545 0.06837483 0.06507566
Node.js V8 Web Tooling Benchmark Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.19, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 4 SE +/- 0.17, N = 3 19.70 24.06 19.76 21.82 26.45 22.25 19.95 19.17 22.72 22.72 21.30 23.29 22.90 20.80 20.00 21.16 21.06 20.07
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 20.81 18.52 21.50 19.88 16.79 21.51 21.74 23.08 20.83 21.92 20.65 20.07 20.54 20.65 21.97 20.23 21.60 21.41
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: crypto_pyaes Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 SE +/- 0.44, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 44.6 39.4 48.3 41.8 35.4 42.8 43.1 45.7 41.4 45.3 41.5 40.5 40.5 40.9 42.8 40.9 41.2 42.3
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100, Lossless, Highest Compression Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.2115 0.423 0.6345 0.846 1.0575 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.69 0.87 0.73 0.79 0.94 0.80 0.78 0.73 0.83 0.76 0.86 0.85 0.85 0.84 0.78 0.86 0.79 0.81 -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.36 Test: rotate Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.006, N = 4 SE +/- 0.013, N = 5 SE +/- 0.008, N = 4 SE +/- 0.026, N = 5 SE +/- 0.034, N = 5 SE +/- 0.005, N = 4 SE +/- 0.012, N = 4 SE +/- 0.004, N = 4 SE +/- 0.008, N = 4 SE +/- 0.019, N = 4 SE +/- 0.006, N = 4 SE +/- 0.019, N = 4 SE +/- 0.091, N = 4 SE +/- 0.015, N = 4 SE +/- 0.018, N = 4 SE +/- 0.009, N = 4 SE +/- 0.017, N = 4 SE +/- 0.015, N = 4 10.612 9.691 10.962 10.372 9.025 11.508 11.598 12.244 11.180 11.603 11.137 10.721 10.967 11.047 11.468 10.916 11.156 11.655
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.36 Test: resize Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.10, N = 4 SE +/- 0.05, N = 4 SE +/- 0.12, N = 4 SE +/- 0.09, N = 4 SE +/- 0.04, N = 4 SE +/- 0.03, N = 4 SE +/- 0.01, N = 4 SE +/- 0.07, N = 4 SE +/- 0.03, N = 4 SE +/- 0.06, N = 4 SE +/- 0.17, N = 4 SE +/- 0.01, N = 4 SE +/- 0.04, N = 4 SE +/- 0.06, N = 4 SE +/- 0.04, N = 4 SE +/- 0.08, N = 4 SE +/- 0.09, N = 4 SE +/- 0.16, N = 4 12.19 12.48 14.58 13.83 12.30 11.99 12.07 12.81 11.59 12.03 14.29 11.12 11.53 14.45 12.32 14.22 15.00 15.06
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.004, N = 6 SE +/- 0.009, N = 6 SE +/- 0.047, N = 6 SE +/- 0.017, N = 6 SE +/- 0.023, N = 6 SE +/- 0.011, N = 6 SE +/- 0.002, N = 6 SE +/- 0.018, N = 6 SE +/- 0.004, N = 6 SE +/- 0.012, N = 6 SE +/- 0.033, N = 6 SE +/- 0.011, N = 7 SE +/- 0.010, N = 6 SE +/- 0.017, N = 6 SE +/- 0.018, N = 6 SE +/- 0.016, N = 6 SE +/- 0.061, N = 6 SE +/- 0.046, N = 6 6.641 6.590 8.349 7.267 6.502 6.585 6.622 6.987 6.482 6.695 7.826 6.172 6.419 7.742 6.867 7.443 7.802 7.844
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 500 1000 1500 2000 2500 SE +/- 1.18, N = 3 SE +/- 4.81, N = 3 SE +/- 4.89, N = 10 SE +/- 7.04, N = 3 SE +/- 2.03, N = 3 SE +/- 2.46, N = 4 SE +/- 1.72, N = 3 SE +/- 0.91, N = 3 SE +/- 4.02, N = 3 SE +/- 1.58, N = 3 SE +/- 5.12, N = 3 SE +/- 1.92, N = 3 SE +/- 7.01, N = 3 SE +/- 4.79, N = 3 SE +/- 1.34, N = 3 SE +/- 15.94, N = 3 SE +/- 32.29, N = 3 SE +/- 16.90, N = 15 1720.5 2025.4 1665.4 1853.8 2248.8 1985.3 1908.7 1794.8 2058.2 1926.1 2082.2 2088.2 2087.9 2086.1 1933.0 2079.1 2109.8 2090.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 1.51 Text-To-Speech Synthesis Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.04, N = 4 SE +/- 0.07, N = 4 SE +/- 0.43, N = 20 SE +/- 0.07, N = 4 SE +/- 0.34, N = 20 SE +/- 0.06, N = 4 SE +/- 0.05, N = 4 SE +/- 0.09, N = 4 SE +/- 0.05, N = 4 SE +/- 0.08, N = 4 SE +/- 0.21, N = 5 SE +/- 0.08, N = 4 SE +/- 0.06, N = 4 SE +/- 0.13, N = 4 SE +/- 0.06, N = 4 SE +/- 0.06, N = 4 SE +/- 0.07, N = 4 SE +/- 0.04, N = 4 22.58 19.85 24.91 21.13 18.46 20.55 21.00 22.27 19.88 21.54 19.82 19.28 19.28 19.71 20.81 19.56 19.92 21.32 1. (CXX) g++ options: -O2
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 500 1000 1500 2000 2500 SE +/- 0.49, N = 3 SE +/- 6.01, N = 3 SE +/- 13.13, N = 3 SE +/- 0.97, N = 3 SE +/- 0.76, N = 3 SE +/- 6.05, N = 3 SE +/- 6.16, N = 3 SE +/- 1.64, N = 3 SE +/- 2.69, N = 3 SE +/- 5.60, N = 3 SE +/- 25.26, N = 3 SE +/- 4.83, N = 3 SE +/- 3.47, N = 3 SE +/- 0.67, N = 3 SE +/- 1.86, N = 3 SE +/- 4.48, N = 15 SE +/- 3.17, N = 13 SE +/- 15.00, N = 12 1664.5 1934.3 1609.7 1795.0 2168.0 1890.9 1824.0 1716.4 1956.3 1806.8 1952.1 1985.1 1978.7 1982.3 1852.1 1970.0 2039.0 1987.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: json_loads Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 13.1 11.5 14.0 12.3 10.4 12.4 12.4 13.3 12.0 13.1 11.9 11.7 11.7 11.9 12.5 11.8 12.0 12.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.37, N = 3 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.42, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.38, N = 3 78.8 69.8 79.9 73.9 63.1 78.5 79.9 84.9 76.0 82.9 78.1 75.5 74.2 76.0 79.8 74.6 75.8 78.2
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: regex_compile Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.51, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 3 81.6 72.1 86.5 76.5 64.4 73.0 72.8 77.4 69.8 75.0 68.9 68.5 68.4 69.2 72.4 68.7 69.7 71.2
Selenium OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 0.75, N = 3 SE +/- 0.24, N = 4 SE +/- 1.21, N = 3 SE +/- 1.42, N = 3 SE +/- 0.73, N = 4 SE +/- 0.46, N = 4 SE +/- 0.46, N = 4 SE +/- 1.48, N = 4 SE +/- 1.08, N = 4 SE +/- 0.37, N = 4 SE +/- 1.76, N = 4 SE +/- 1.08, N = 3 SE +/- 0.21, N = 4 SE +/- 1.19, N = 4 SE +/- 0.39, N = 4 SE +/- 1.00, N = 4 SE +/- 3.55, N = 5 SE +/- 4.57, N = 3 429.8 366.1 421.8 393.6 320.4 354.4 365.1 386.1 341.2 370.2 339.9 332.2 336.1 337.4 360.3 334.4 355.3 356.5 1. chrome 125.0.6422.141
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: django_template Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.13, N = 3 SE +/- 0.25, N = 4 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 22.0 19.3 23.3 20.6 17.4 21.2 21.3 22.8 20.2 22.3 20.6 19.9 19.9 20.2 21.5 20.2 20.4 20.7
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100, Lossless Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.5445 1.089 1.6335 2.178 2.7225 SE +/- 0.00, N = 4 SE +/- 0.00, N = 5 SE +/- 0.01, N = 4 SE +/- 0.00, N = 4 SE +/- 0.01, N = 5 SE +/- 0.00, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 5 SE +/- 0.01, N = 4 SE +/- 0.00, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.00, N = 5 SE +/- 0.01, N = 4 SE +/- 0.02, N = 5 SE +/- 0.02, N = 4 SE +/- 0.02, N = 15 1.87 2.17 1.81 1.99 2.42 2.05 2.03 1.91 2.12 1.97 2.11 2.21 2.20 2.14 2.06 2.20 2.09 2.14 -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.67, N = 3 SE +/- 0.32, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 132.0 145.3 133.1 158.1 159.5 122.9 132.9 133.0 121.0 122.1 120.8 121.0 123.0 120.8 128.2 119.3 121.8 123.5 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5M 10M 15M 20M 25M SE +/- 8192.14, N = 3 SE +/- 267804.58, N = 12 SE +/- 93682.68, N = 3 SE +/- 60555.76, N = 3 SE +/- 15452.44, N = 3 SE +/- 188723.20, N = 3 SE +/- 10477.49, N = 3 SE +/- 193721.74, N = 3 SE +/- 242543.01, N = 3 SE +/- 95170.61, N = 3 SE +/- 193827.24, N = 3 SE +/- 409666.38, N = 15 SE +/- 277841.68, N = 14 SE +/- 125446.31, N = 3 SE +/- 6658.33, N = 3 SE +/- 206747.30, N = 3 SE +/- 398877.79, N = 15 SE +/- 277280.24, N = 3 19762667 19978583 17709667 21036000 22884667 18572667 18424333 17156333 19020333 18336333 19197000 19352667 19484571 19714333 18640000 19752333 18417800 19744000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
PyPerformance OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: go Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.47, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.58, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.67, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 3 SE +/- 0.40, N = 3 79.4 70.2 83.9 74.3 63.2 78.3 79.6 84.3 76.7 82.6 74.9 75.2 74.3 75.2 80.6 74.6 75.7 77.6
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.11 Benchmark: pickle_pure_python Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.58, N = 3 SE +/- 1.33, N = 3 SE +/- 1.15, N = 3 SE +/- 0.88, N = 3 175 154 184 164 138 171 173 184 164 176 165 163 161 162 173 162 164 167
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.1.0 Test: Decompression Throughput Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 0.32, N = 3 SE +/- 0.23, N = 3 SE +/- 1.42, N = 3 SE +/- 0.16, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.40, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 1.23, N = 3 SE +/- 2.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.39, N = 3 SE +/- 0.32, N = 3 SE +/- 1.59, N = 3 SE +/- 0.38, N = 3 SE +/- 3.17, N = 15 252.24 286.56 250.95 269.27 324.07 313.60 307.65 290.94 325.77 305.03 319.27 333.41 331.62 328.67 311.83 334.58 321.80 328.61 1. (CC) gcc options: -O3 -rdynamic
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.006, N = 6 SE +/- 0.008, N = 6 SE +/- 0.008, N = 6 SE +/- 0.005, N = 6 SE +/- 0.009, N = 7 SE +/- 0.004, N = 6 SE +/- 0.004, N = 6 SE +/- 0.006, N = 6 SE +/- 0.005, N = 6 SE +/- 0.005, N = 6 SE +/- 0.014, N = 6 SE +/- 0.007, N = 6 SE +/- 0.009, N = 6 SE +/- 0.006, N = 6 SE +/- 0.010, N = 6 SE +/- 0.011, N = 6 SE +/- 0.006, N = 6 SE +/- 0.034, N = 6 6.997 6.357 7.735 6.927 5.987 7.443 7.473 7.909 7.310 7.624 7.261 6.992 7.223 7.352 7.767 7.065 7.665 7.359
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.51, N = 3 37.01 32.98 37.84 35.10 29.65 36.34 36.87 39.16 35.16 37.14 34.62 33.94 34.55 34.83 36.96 34.42 36.59 35.88
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 25.84 22.30 25.96 23.92 20.70 25.37 25.73 27.27 24.33 25.71 25.39 23.48 24.32 25.02 25.79 24.80 26.23 25.64
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: Plotting Isosurface Of A 3D Volume, 1000 Times Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.016, N = 5 SE +/- 0.014, N = 5 SE +/- 0.026, N = 5 SE +/- 0.026, N = 5 SE +/- 0.173, N = 15 SE +/- 0.006, N = 5 SE +/- 0.012, N = 5 SE +/- 0.005, N = 5 SE +/- 0.013, N = 5 SE +/- 0.020, N = 5 SE +/- 0.022, N = 5 SE +/- 0.008, N = 5 SE +/- 0.008, N = 5 SE +/- 0.028, N = 5 SE +/- 0.028, N = 5 SE +/- 0.024, N = 5 SE +/- 0.009, N = 5 SE +/- 0.126, N = 15 9.796 8.812 9.986 9.196 8.148 10.012 10.088 10.716 9.663 10.383 9.346 9.362 9.389 9.534 10.048 9.345 10.237 10.080
Selenium OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 1.70, N = 3 SE +/- 2.34, N = 3 SE +/- 1.85, N = 3 SE +/- 1.16, N = 3 SE +/- 2.67, N = 3 SE +/- 4.23, N = 3 SE +/- 1.62, N = 3 SE +/- 1.00, N = 3 SE +/- 0.97, N = 3 SE +/- 2.42, N = 3 SE +/- 1.23, N = 3 SE +/- 0.68, N = 3 SE +/- 3.05, N = 3 SE +/- 0.63, N = 3 SE +/- 1.11, N = 3 SE +/- 2.24, N = 3 SE +/- 4.48, N = 2 SE +/- 3.94, N = 3 328.86 396.16 334.73 359.45 432.42 376.32 363.22 345.90 392.91 366.52 382.36 405.31 400.34 384.58 370.28 389.29 365.57 360.06 1. chrome 125.0.6422.141
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Default Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 7 14 21 28 35 SE +/- 0.02, N = 12 SE +/- 0.01, N = 13 SE +/- 0.04, N = 12 SE +/- 0.01, N = 15 SE +/- 0.02, N = 13 SE +/- 0.02, N = 15 SE +/- 0.01, N = 13 SE +/- 0.05, N = 15 SE +/- 0.09, N = 15 SE +/- 0.01, N = 12 SE +/- 0.02, N = 13 SE +/- 0.03, N = 15 SE +/- 0.02, N = 13 SE +/- 0.02, N = 12 SE +/- 0.04, N = 13 SE +/- 0.07, N = 15 SE +/- 0.02, N = 15 SE +/- 0.15, N = 13 21.06 24.25 21.25 22.49 27.39 23.10 25.38 23.82 23.64 23.32 27.64 25.28 27.36 23.82 25.56 25.64 25.72 25.25 -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.27, N = 15 SE +/- 0.31, N = 15 41.13 35.88 41.50 38.30 31.70 34.85 35.46 37.63 33.66 35.36 32.43 32.50 32.90 33.18 35.18 32.61 32.89 33.95 1. git version 2.43.0
WebP Image Encode OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.4 Encode Settings: Quality 100 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01, N = 11 SE +/- 0.00, N = 11 SE +/- 0.03, N = 11 SE +/- 0.01, N = 11 SE +/- 0.02, N = 12 SE +/- 0.02, N = 11 SE +/- 0.01, N = 11 SE +/- 0.01, N = 11 SE +/- 0.01, N = 11 SE +/- 0.01, N = 11 SE +/- 0.10, N = 12 SE +/- 0.01, N = 11 SE +/- 0.01, N = 12 SE +/- 0.04, N = 15 SE +/- 0.03, N = 11 SE +/- 0.03, N = 11 SE +/- 0.06, N = 11 SE +/- 0.13, N = 15 13.54 15.63 13.79 14.45 17.66 14.83 15.64 14.72 15.33 14.81 16.44 16.14 16.87 15.38 15.74 16.18 15.89 15.85 -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff -ljpeg -lpng16 -ltiff 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
Selenium OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60 120 180 240 300 SE +/- 0.38, N = 4 SE +/- 1.58, N = 4 SE +/- 0.06, N = 4 SE +/- 0.16, N = 4 SE +/- 1.99, N = 5 SE +/- 0.12, N = 4 SE +/- 0.09, N = 4 SE +/- 0.30, N = 4 SE +/- 0.10, N = 4 SE +/- 0.06, N = 4 SE +/- 3.13, N = 4 SE +/- 0.08, N = 4 SE +/- 0.23, N = 4 SE +/- 0.47, N = 4 SE +/- 0.12, N = 4 SE +/- 1.70, N = 4 SE +/- 2.48, N = 15 SE +/- 2.53, N = 15 276.1 244.1 275.4 259.2 219.4 265.1 268.8 286.1 255.3 269.9 253.2 246.7 250.5 251.8 264.9 247.5 246.7 251.5 1. firefox 126.0.1
JPEG-XL Decoding libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG-XL Decoding libjxl 0.10.1 CPU Threads: 1 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 SE +/- 0.30, N = 3 SE +/- 0.09, N = 3 SE +/- 0.56, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.31, N = 3 SE +/- 0.19, N = 3 SE +/- 0.66, N = 3 SE +/- 0.64, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.92, N = 15 80.96 88.26 78.58 85.68 99.94 83.57 81.23 76.79 86.48 79.11 84.55 88.24 87.75 87.08 81.58 86.41 81.61 82.03
Selenium OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 30K 60K 90K 120K 150K SE +/- 47.25, N = 3 SE +/- 427.94, N = 3 SE +/- 81.50, N = 3 SE +/- 129.07, N = 3 SE +/- 201.32, N = 3 SE +/- 83.43, N = 3 SE +/- 241.44, N = 3 SE +/- 208.91, N = 3 SE +/- 152.70, N = 3 SE +/- 166.46, N = 3 SE +/- 681.28, N = 3 SE +/- 350.92, N = 3 SE +/- 130.40, N = 3 SE +/- 629.90, N = 3 SE +/- 307.98, N = 3 SE +/- 443.13, N = 3 SE +/- 697.75, N = 15 SE +/- 755.79, N = 15 92825 105661 93332 99691 118614 100656 96789 91438 104987 96514 103736 106956 105621 102972 98707 103540 99438 97808 1. chrome 125.0.6422.141
Gcrypt Library OpenBenchmarking.org Seconds, Fewer Is Better Gcrypt Library 1.10.3 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.28, N = 3 SE +/- 0.19, N = 3 SE +/- 0.68, N = 3 SE +/- 0.45, N = 3 SE +/- 0.43, N = 3 SE +/- 0.40, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.46, N = 3 SE +/- 0.40, N = 3 SE +/- 1.84, N = 3 SE +/- 0.13, N = 3 SE +/- 0.66, N = 3 SE +/- 0.62, N = 3 SE +/- 1.05, N = 3 SE +/- 0.64, N = 3 SE +/- 1.98, N = 12 SE +/- 1.30, N = 12 176.15 155.50 179.30 165.44 138.58 165.72 167.93 179.59 159.11 169.61 156.62 153.94 158.33 157.17 165.80 156.29 158.36 157.94 1. (CC) gcc options: -O2 -fvisibility=hidden
OpenSCAD OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenSCAD Render: Pistol Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.02, N = 3 SE +/- 0.28, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 SE +/- 0.38, N = 3 SE +/- 0.17, N = 3 SE +/- 0.20, N = 3 SE +/- 0.46, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 0.48, N = 15 50.84 44.35 50.29 47.45 39.23 47.41 46.79 49.92 46.36 49.49 46.95 44.88 45.26 45.18 46.31 45.10 46.73 46.05 1. OpenSCAD version 2021.01
Selenium OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 1.94, N = 4 SE +/- 1.50, N = 4 SE +/- 4.03, N = 4 SE +/- 7.55, N = 5 SE +/- 3.45, N = 4 SE +/- 1.44, N = 4 SE +/- 2.69, N = 4 SE +/- 1.89, N = 4 SE +/- 3.68, N = 4 SE +/- 1.03, N = 4 SE +/- 1.64, N = 5 SE +/- 1.89, N = 4 SE +/- 1.12, N = 5 SE +/- 3.08, N = 4 SE +/- 1.44, N = 4 SE +/- 4.11, N = 4 SE +/- 6.85, N = 4 SE +/- 7.69, N = 4 823 683 816 755 636 750 775 816 700 744 695 687 704 714 768 699 717 738 1. firefox 126.0.1
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Encryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 4.38, N = 3 SE +/- 0.35, N = 3 SE +/- 1.82, N = 12 SE +/- 0.52, N = 3 SE +/- 16.84, N = 14 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.34, N = 3 SE +/- 0.03, N = 3 SE +/- 0.42, N = 3 SE +/- 13.98, N = 3 SE +/- 0.14, N = 8 SE +/- 0.50, N = 3 SE +/- 0.31, N = 3 SE +/- 0.13, N = 3 SE +/- 4.20, N = 3 SE +/- 0.34, N = 3 SE +/- 0.48, N = 15 791.3 921.0 799.9 860.2 892.7 908.5 927.7 872.0 945.1 925.6 997.4 982.7 802.4 963.5 945.1 1001.9 1018.8 938.9
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 20.99 17.96 20.95 19.34 16.70 20.00 20.22 21.47 19.46 20.48 20.35 18.75 19.14 20.27 20.53 20.15 21.38 20.70
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Encryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 0.38, N = 3 SE +/- 2.76, N = 3 SE +/- 2.13, N = 12 SE +/- 7.02, N = 3 SE +/- 18.62, N = 15 SE +/- 2.35, N = 3 SE +/- 2.60, N = 3 SE +/- 2.58, N = 3 SE +/- 2.01, N = 3 SE +/- 2.83, N = 3 SE +/- 15.87, N = 3 SE +/- 0.92, N = 8 SE +/- 2.97, N = 3 SE +/- 1.89, N = 3 SE +/- 3.03, N = 3 SE +/- 5.41, N = 3 SE +/- 4.97, N = 3 SE +/- 0.66, N = 15 791.1 919.5 798.4 855.0 902.6 908.6 928.4 871.3 945.6 924.9 996.8 984.4 800.6 963.5 944.3 1002.2 1017.1 939.1
Selenium OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 110 220 330 440 550 SE +/- 1.15, N = 3 SE +/- 1.45, N = 3 SE +/- 1.15, N = 3 SE +/- 0.88, N = 3 SE +/- 2.03, N = 3 SE +/- 1.53, N = 3 SE +/- 2.33, N = 3 SE +/- 2.85, N = 3 SE +/- 2.31, N = 3 SE +/- 1.86, N = 3 SE +/- 4.37, N = 3 SE +/- 2.31, N = 3 SE +/- 1.20, N = 3 SE +/- 3.18, N = 3 SE +/- 0.88, N = 3 SE +/- 2.91, N = 3 SE +/- 3.79, N = 3 SE +/- 2.08, N = 3 382 466 396 414 491 450 428 411 468 450 470 476 474 457 431 474 457 444 1. chrome 125.0.6422.141
Google Draco Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Lion Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 800 1600 2400 3200 4000 SE +/- 6.70, N = 8 SE +/- 8.93, N = 8 SE +/- 6.63, N = 8 SE +/- 1.46, N = 8 SE +/- 8.56, N = 8 SE +/- 3.50, N = 8 SE +/- 26.68, N = 7 SE +/- 1.90, N = 7 SE +/- 10.14, N = 8 SE +/- 4.16, N = 8 SE +/- 17.14, N = 8 SE +/- 5.27, N = 8 SE +/- 3.66, N = 8 SE +/- 5.87, N = 8 SE +/- 5.40, N = 8 SE +/- 14.66, N = 8 SE +/- 2.77, N = 8 SE +/- 34.76, N = 15 3655 3344 3468 3275 2956 3554 3686 3798 3482 3098 3436 3414 3465 3482 3615 3434 3051 3456 1. (CXX) g++ options: -O3
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 15 30 45 60 75 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.60, N = 3 61.23 56.15 64.14 59.74 51.71 61.00 62.20 65.92 59.49 63.09 62.61 57.68 58.04 62.43 62.77 63.23 66.43 64.20
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 143.23 128.40 142.51 125.33 125.36 158.39 153.22 154.12 158.47 157.29 156.93 157.78 160.94 156.89 153.42 157.95 157.75 157.73 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-sha512 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 600K 1200K 1800K 2400K 3000K SE +/- 7361.13, N = 3 SE +/- 0.00, N = 3 SE +/- 30989.35, N = 12 SE +/- 6586.17, N = 3 SE +/- 47145.04, N = 15 SE +/- 8031.75, N = 3 SE +/- 5577.79, N = 3 SE +/- 3392.87, N = 3 SE +/- 4351.16, N = 3 SE +/- 2550.38, N = 3 SE +/- 3861.78, N = 3 SE +/- 24414.75, N = 8 SE +/- 3284.26, N = 3 SE +/- 7357.26, N = 3 SE +/- 4016.91, N = 3 SE +/- 5464.72, N = 3 SE +/- 1770.16, N = 3 SE +/- 39838.91, N = 15 2199858 2511559 2177532 2345844 2472840 2650198 2598725 2431959 2757005 2463378 2594426 2778342 2793726 2720081 2649046 2741396 2535857 2568706
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.4 WAV To FLAC Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.03, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.00, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.00, N = 5 SE +/- 0.01, N = 5 SE +/- 0.09, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.00, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.08, N = 5 SE +/- 0.06, N = 5 13.39 12.04 13.68 12.57 10.66 12.34 12.46 13.27 11.90 12.75 11.70 11.49 11.55 11.80 12.36 11.54 12.16 12.15 1. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
SecureMark SecureMark is an objective, standardized benchmarking framework for measuring the efficiency of cryptographic processing solutions developed by EEMBC. SecureMark-TLS is benchmarking Transport Layer Security performance with a focus on IoT/edge computing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org marks, More Is Better SecureMark 1.0.4 Benchmark: SecureMark-TLS Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 100K 200K 300K 400K 500K SE +/- 541.86, N = 3 SE +/- 175.72, N = 3 SE +/- 1276.50, N = 3 SE +/- 814.88, N = 3 SE +/- 1835.35, N = 3 SE +/- 1853.64, N = 3 SE +/- 489.09, N = 3 SE +/- 612.99, N = 3 SE +/- 236.48, N = 3 SE +/- 137.18, N = 3 SE +/- 2297.28, N = 3 SE +/- 913.89, N = 3 SE +/- 848.80, N = 3 SE +/- 239.73, N = 3 SE +/- 644.84, N = 3 SE +/- 1300.53, N = 3 SE +/- 1382.59, N = 3 SE +/- 8722.88, N = 9 378033 427943 371596 401441 476330 423920 413602 391250 444514 397366 432196 451682 453031 449838 424631 441887 415196 433939 1. (CC) gcc options: -pedantic -O3
Ogg Audio Encoding This test times how long it takes to encode a sample WAV file to Ogg format using the reference Xiph.org tools/libraries. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ogg Audio Encoding 1.3.4 WAV To Ogg Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.38, N = 12 SE +/- 0.02, N = 4 SE +/- 0.27, N = 15 SE +/- 0.02, N = 4 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.04, N = 4 SE +/- 0.12, N = 4 SE +/- 0.01, N = 4 SE +/- 0.16, N = 15 13.85 12.21 15.30 13.01 11.95 12.97 13.13 13.97 12.52 13.58 12.56 12.08 12.11 12.42 13.00 12.20 12.49 12.38 1. (CC) gcc options: -O2 -ffast-math -fsigned-char
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: LargeRandom Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.4343 0.8686 1.3029 1.7372 2.1715 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.53 1.73 1.51 1.64 1.93 1.74 1.71 1.61 1.80 1.69 1.84 1.85 1.83 1.84 1.72 1.83 1.74 1.69 1. (CXX) g++ options: -O3
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.36 Test: unsharp-mask Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.01, N = 4 SE +/- 0.04, N = 4 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 SE +/- 0.05, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.03, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.08, N = 4 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.09, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 4 12.48 12.13 13.49 13.00 11.94 13.10 13.36 14.04 12.79 13.28 14.55 12.30 12.43 14.59 13.43 14.86 15.23 15.04
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Decryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 3.27, N = 3 SE +/- 0.52, N = 3 SE +/- 1.83, N = 12 SE +/- 1.16, N = 3 SE +/- 19.14, N = 15 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.38, N = 3 SE +/- 13.72, N = 3 SE +/- 0.25, N = 8 SE +/- 0.77, N = 3 SE +/- 0.35, N = 3 SE +/- 0.21, N = 3 SE +/- 3.66, N = 3 SE +/- 0.55, N = 3 SE +/- 0.13, N = 15 819.1 950.5 825.4 887.8 931.1 901.4 921.5 865.0 938.2 917.8 988.2 974.4 793.7 955.4 937.6 994.0 1011.0 927.0
Selenium OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 14K 28K 42K 56K 70K SE +/- 128.26, N = 3 SE +/- 36.10, N = 3 SE +/- 203.90, N = 3 SE +/- 64.12, N = 3 SE +/- 233.17, N = 3 SE +/- 176.45, N = 3 SE +/- 136.68, N = 3 SE +/- 56.42, N = 3 SE +/- 128.71, N = 3 SE +/- 75.33, N = 3 SE +/- 692.02, N = 3 SE +/- 80.84, N = 3 SE +/- 68.91, N = 3 SE +/- 159.25, N = 3 SE +/- 61.46, N = 3 SE +/- 283.10, N = 3 SE +/- 477.37, N = 15 SE +/- 485.81, N = 15 52920 59725 52516 56128 66883 57745 56277 53560 59737 56321 60065 61343 60702 59836 57035 60496 58861 57677 1. firefox 126.0.1
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 60 120 180 240 300 SE +/- 1.83, N = 3 SE +/- 3.20, N = 3 SE +/- 0.76, N = 3 SE +/- 1.68, N = 3 SE +/- 2.10, N = 3 SE +/- 2.39, N = 3 SE +/- 0.51, N = 3 SE +/- 0.42, N = 3 SE +/- 1.86, N = 3 SE +/- 1.37, N = 3 SE +/- 0.42, N = 3 SE +/- 0.48, N = 3 SE +/- 2.82, N = 3 SE +/- 2.21, N = 3 SE +/- 0.81, N = 3 SE +/- 1.18, N = 3 SE +/- 3.41, N = 3 SE +/- 0.72, N = 3 223.24 255.20 224.63 235.95 283.18 245.58 235.28 222.48 251.95 237.76 255.19 258.76 257.12 254.51 240.69 254.81 245.19 241.75 1. firefox 126.0.1
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Decryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 3.27, N = 3 SE +/- 0.32, N = 3 SE +/- 1.66, N = 12 SE +/- 0.28, N = 3 SE +/- 17.37, N = 14 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.85, N = 3 SE +/- 13.88, N = 3 SE +/- 0.19, N = 8 SE +/- 0.49, N = 3 SE +/- 0.41, N = 3 SE +/- 0.00, N = 3 SE +/- 3.88, N = 3 SE +/- 0.17, N = 3 SE +/- 0.22, N = 15 816.3 949.7 824.3 887.2 920.4 900.3 919.9 864.0 936.6 916.7 987.4 973.0 794.0 954.7 936.7 993.0 1009.7 925.7
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.36 Test: auto-levels Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.03, N = 4 SE +/- 0.02, N = 5 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 SE +/- 0.05, N = 5 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.03, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.04, N = 4 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 11.36 10.45 11.61 11.17 10.13 12.03 12.19 12.86 11.61 12.06 12.10 11.12 11.51 12.11 12.16 12.13 12.65 12.44
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 13.1 11.6 13.1 12.2 10.4 12.4 12.4 13.2 12.0 13.0 11.9 11.7 11.7 11.8 12.4 11.7 12.0 12.1
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.36, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 41.29 37.42 42.69 39.56 34.20 40.13 41.11 43.28 38.80 40.96 40.49 37.45 38.17 40.04 40.85 39.53 41.87 41.45
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 33.38 32.04 38.13 35.54 31.16 31.80 32.17 33.95 30.84 32.30 34.92 30.23 30.31 34.46 33.16 33.88 37.09 35.95
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 1.3167 2.6334 3.9501 5.2668 6.5835 SE +/- 0.005, N = 7 SE +/- 0.005, N = 7 SE +/- 0.106, N = 15 SE +/- 0.004, N = 7 SE +/- 0.002, N = 7 SE +/- 0.005, N = 7 SE +/- 0.005, N = 7 SE +/- 0.009, N = 7 SE +/- 0.021, N = 7 SE +/- 0.004, N = 7 SE +/- 0.006, N = 8 SE +/- 0.007, N = 8 SE +/- 0.004, N = 8 SE +/- 0.007, N = 8 SE +/- 0.007, N = 7 SE +/- 0.007, N = 8 SE +/- 0.005, N = 8 SE +/- 0.043, N = 15 5.731 5.052 5.852 5.379 5.349 5.105 5.079 5.390 4.941 5.193 4.642 4.743 4.687 4.851 5.025 4.784 4.827 4.799 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
GNU Octave Benchmark This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 8.4.0 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.013, N = 6 SE +/- 0.011, N = 7 SE +/- 0.012, N = 6 SE +/- 0.010, N = 7 SE +/- 0.024, N = 7 SE +/- 0.011, N = 7 SE +/- 0.014, N = 7 SE +/- 0.012, N = 7 SE +/- 0.013, N = 7 SE +/- 0.013, N = 7 SE +/- 0.018, N = 7 SE +/- 0.014, N = 7 SE +/- 0.011, N = 7 SE +/- 0.017, N = 7 SE +/- 0.013, N = 7 SE +/- 0.021, N = 7 SE +/- 0.038, N = 7 SE +/- 0.030, N = 25 6.497 6.089 6.734 6.140 5.628 5.705 5.709 5.947 5.610 5.557 5.672 5.443 5.510 5.584 5.765 5.532 5.494 5.576
OpenSCAD OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenSCAD Render: Leonardo Phone Case Slim Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.00, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.28, N = 15 SE +/- 0.17, N = 4 SE +/- 0.13, N = 4 SE +/- 0.13, N = 4 SE +/- 0.14, N = 4 SE +/- 0.06, N = 4 SE +/- 0.17, N = 4 SE +/- 0.12, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.03, N = 4 SE +/- 0.14, N = 4 SE +/- 0.04, N = 4 SE +/- 0.19, N = 15 16.72 14.61 16.58 15.53 13.63 15.26 15.27 16.09 15.08 16.29 14.86 14.46 14.41 14.67 14.95 14.57 15.70 14.87 1. OpenSCAD version 2021.01
Selenium OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 110 220 330 440 550 SE +/- 0.48, N = 3 SE +/- 2.65, N = 3 SE +/- 2.07, N = 3 SE +/- 3.69, N = 3 SE +/- 4.20, N = 15 SE +/- 0.64, N = 3 SE +/- 2.42, N = 3 SE +/- 0.17, N = 3 SE +/- 0.66, N = 3 SE +/- 1.86, N = 3 SE +/- 4.32, N = 3 SE +/- 0.87, N = 3 SE +/- 0.45, N = 3 SE +/- 3.93, N = 3 SE +/- 1.47, N = 3 SE +/- 2.11, N = 3 SE +/- 5.33, N = 15 SE +/- 5.42, N = 15 509.9 453.9 513.6 498.5 422.4 450.8 487.7 513.5 432.7 477.4 431.2 426.2 428.0 429.9 479.1 427.0 443.4 463.1 1. firefox 126.0.1
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Decryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140 280 420 560 700 SE +/- 1.95, N = 3 SE +/- 0.19, N = 3 SE +/- 1.19, N = 12 SE +/- 0.17, N = 3 SE +/- 11.76, N = 15 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 4.46, N = 3 SE +/- 7.33, N = 3 SE +/- 0.62, N = 8 SE +/- 0.78, N = 3 SE +/- 4.72, N = 3 SE +/- 0.09, N = 3 SE +/- 2.16, N = 3 SE +/- 0.94, N = 3 SE +/- 0.45, N = 15 547.4 640.5 557.3 600.0 625.5 604.2 592.6 557.3 628.1 581.8 624.5 643.8 639.0 634.1 603.4 631.0 658.7 587.5
Selenium OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Firefox Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 90 180 270 360 450 SE +/- 2.00, N = 3 SE +/- 3.00, N = 3 SE +/- 3.84, N = 3 SE +/- 2.52, N = 3 SE +/- 4.64, N = 15 SE +/- 1.00, N = 3 SE +/- 0.58, N = 3 SE +/- 1.86, N = 3 SE +/- 1.53, N = 3 SE +/- 1.53, N = 3 SE +/- 2.67, N = 3 SE +/- 1.15, N = 3 SE +/- 2.73, N = 3 SE +/- 4.37, N = 3 SE +/- 3.21, N = 3 SE +/- 0.00, N = 3 SE +/- 1.45, N = 3 SE +/- 4.58, N = 3 347 393 341 341 390 391 372 354 401 393 406 410 407 397 376 403 390 390 1. firefox 126.0.1
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Decryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140 280 420 560 700 SE +/- 0.85, N = 2 SE +/- 0.32, N = 3 SE +/- 1.10, N = 10 SE +/- 0.25, N = 2 SE +/- 10.66, N = 14 SE +/- 0.21, N = 3 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 3.15, N = 3 SE +/- 7.00, N = 3 SE +/- 0.55, N = 8 SE +/- 0.46, N = 3 SE +/- 4.85, N = 3 SE +/- 0.41, N = 3 SE +/- 2.43, N = 3 SE +/- 0.52, N = 3 SE +/- 0.43, N = 15 551.3 640.5 556.5 599.9 619.3 605.1 595.3 558.5 629.2 584.2 626.6 645.5 641.0 635.6 605.6 632.4 660.3 588.0
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Encryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140 280 420 560 700 SE +/- 2.24, N = 3 SE +/- 0.15, N = 2 SE +/- 1.24, N = 10 SE +/- 0.35, N = 3 SE +/- 11.43, N = 13 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 1.90, N = 3 SE +/- 7.32, N = 3 SE +/- 0.34, N = 8 SE +/- 0.37, N = 3 SE +/- 4.51, N = 3 SE +/- 0.21, N = 3 SE +/- 2.11, N = 3 SE +/- 0.24, N = 3 SE +/- 0.42, N = 15 545.9 638.1 554.2 597.2 617.1 590.6 580.2 544.8 613.7 580.2 611.5 630.4 625.5 620.4 590.5 617.8 645.1 581.8
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Encryption Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 140 280 420 560 700 SE +/- 0.75, N = 3 SE +/- 1.94, N = 3 SE +/- 0.98, N = 12 SE +/- 1.90, N = 3 SE +/- 11.80, N = 15 SE +/- 1.35, N = 3 SE +/- 1.73, N = 3 SE +/- 1.62, N = 3 SE +/- 1.40, N = 3 SE +/- 4.22, N = 3 SE +/- 8.40, N = 3 SE +/- 0.83, N = 8 SE +/- 2.21, N = 3 SE +/- 6.07, N = 3 SE +/- 1.78, N = 3 SE +/- 3.29, N = 3 SE +/- 3.20, N = 3 SE +/- 0.62, N = 15 546.0 635.9 554.0 595.6 621.8 592.7 581.1 546.2 615.7 577.5 613.1 631.9 625.5 621.7 591.5 619.8 644.9 581.4
OpenSCAD OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenSCAD Render: Projector Mount Swivel Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.9304 1.8608 2.7912 3.7216 4.652 SE +/- 0.029, N = 8 SE +/- 0.020, N = 9 SE +/- 0.052, N = 15 SE +/- 0.021, N = 8 SE +/- 0.069, N = 15 SE +/- 0.020, N = 8 SE +/- 0.021, N = 8 SE +/- 0.021, N = 8 SE +/- 0.032, N = 8 SE +/- 0.015, N = 8 SE +/- 0.017, N = 9 SE +/- 0.022, N = 9 SE +/- 0.025, N = 12 SE +/- 0.014, N = 9 SE +/- 0.013, N = 9 SE +/- 0.020, N = 9 SE +/- 0.028, N = 12 SE +/- 0.046, N = 15 4.104 3.605 4.135 3.834 3.630 3.894 3.764 4.024 3.798 4.107 3.744 3.628 3.575 3.697 3.725 3.666 3.915 3.697 1. OpenSCAD version 2021.01
OpenBenchmarking.org Seconds, Fewer Is Better OpenSCAD Render: Retro Car Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 0.5261 1.0522 1.5783 2.1044 2.6305 SE +/- 0.005, N = 10 SE +/- 0.005, N = 11 SE +/- 0.029, N = 15 SE +/- 0.003, N = 11 SE +/- 0.009, N = 7 SE +/- 0.007, N = 10 SE +/- 0.003, N = 11 SE +/- 0.003, N = 10 SE +/- 0.003, N = 11 SE +/- 0.005, N = 10 SE +/- 0.011, N = 10 SE +/- 0.011, N = 11 SE +/- 0.005, N = 9 SE +/- 0.007, N = 11 SE +/- 0.005, N = 11 SE +/- 0.005, N = 11 SE +/- 0.011, N = 11 SE +/- 0.018, N = 15 2.326 2.050 2.338 2.171 2.138 2.267 2.133 2.282 2.189 2.299 2.077 2.089 2.024 2.177 2.119 2.096 2.078 2.162 1. OpenSCAD version 2021.01
OpenBenchmarking.org Seconds, Fewer Is Better OpenSCAD Render: Mini-ITX Case Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.48, N = 15 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 6 SE +/- 0.13, N = 3 SE +/- 0.32, N = 3 SE +/- 0.03, N = 3 SE +/- 0.26, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 15 24.84 21.73 24.83 23.06 21.91 23.18 22.51 24.09 22.48 24.56 21.97 22.09 21.72 22.41 22.48 21.97 22.53 23.13 1. OpenSCAD version 2021.01
Google SynthMark SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Voices, More Is Better Google SynthMark 20201109 Test: VoiceMark_100 Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X3D Ryzen 9 7900X3D 200 400 600 800 1000 SE +/- 8.39, N = 15 SE +/- 3.75, N = 2 SE +/- 2.04, N = 3 SE +/- 11.79, N = 3 SE +/- 2.55, N = 3 SE +/- 1.36, N = 3 SE +/- 5.88, N = 3 SE +/- 0.32, N = 3 SE +/- 5.74, N = 3 SE +/- 7.03, N = 3 SE +/- 1.22, N = 3 SE +/- 4.07, N = 2 SE +/- 8.14, N = 3 SE +/- 3.47, N = 3 SE +/- 0.90, N = 3 SE +/- 1.25, N = 3 900.47 1016.73 946.12 941.32 954.34 953.80 956.08 981.07 970.48 965.37 1017.66 1010.19 968.41 978.23 1011.57 1016.71 1. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast Test: VoiceMark_100
Ryzen 9 7950X: The test run did not produce a result.
Ryzen 9 7900X: The test run did not produce a result.
AOM AV1 OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 70 140 210 280 350 SE +/- 1.17, N = 9 SE +/- 4.20, N = 15 SE +/- 0.84, N = 9 SE +/- 3.15, N = 15 SE +/- 4.89, N = 15 SE +/- 1.93, N = 10 SE +/- 1.67, N = 15 SE +/- 0.69, N = 10 SE +/- 2.29, N = 15 SE +/- 5.40, N = 15 SE +/- 1.35, N = 10 SE +/- 2.44, N = 15 SE +/- 2.13, N = 15 SE +/- 3.94, N = 15 SE +/- 1.78, N = 15 SE +/- 3.11, N = 15 SE +/- 2.24, N = 15 SE +/- 2.83, N = 15 201.69 227.52 203.93 201.87 254.53 269.30 245.35 238.70 294.27 343.80 238.80 302.33 280.68 221.36 247.02 214.56 217.43 238.83 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80 160 240 320 400 SE +/- 1.58, N = 15 SE +/- 4.83, N = 15 SE +/- 2.35, N = 15 SE +/- 5.05, N = 15 SE +/- 5.53, N = 15 SE +/- 8.57, N = 13 SE +/- 2.30, N = 15 SE +/- 2.88, N = 15 SE +/- 8.12, N = 15 SE +/- 4.62, N = 15 SE +/- 4.43, N = 15 SE +/- 7.89, N = 15 SE +/- 9.32, N = 15 SE +/- 5.01, N = 15 SE +/- 5.39, N = 15 SE +/- 3.79, N = 15 SE +/- 3.83, N = 15 SE +/- 6.10, N = 15 229.14 259.78 214.08 221.87 259.69 284.47 277.31 252.67 307.23 370.90 241.59 314.54 295.12 239.91 258.49 225.80 224.51 249.87 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.9 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p Core i3 14100 Core i5 14600K Core i5 14400F Core i5 14500 Core i9 14900K Ryzen 5 7600 Ryzen 5 8600G Ryzen 5 8400F Ryzen 7 7700 Ryzen 7 7800X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900 Ryzen 7 8700G Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 80 160 240 320 400 SE +/- 0.63, N = 10 SE +/- 4.65, N = 15 SE +/- 2.05, N = 15 SE +/- 5.88, N = 12 SE +/- 6.32, N = 15 SE +/- 7.34, N = 15 SE +/- 7.43, N = 15 SE +/- 6.69, N = 15 SE +/- 4.64, N = 15 SE +/- 11.30, N = 15 SE +/- 5.41, N = 15 SE +/- 2.54, N = 15 SE +/- 3.64, N = 15 SE +/- 4.42, N = 15 SE +/- 3.94, N = 15 SE +/- 4.66, N = 15 SE +/- 4.73, N = 15 SE +/- 3.89, N = 15 233.42 261.73 223.76 226.50 272.44 293.30 267.63 245.96 316.34 365.85 241.32 337.54 314.58 245.36 272.45 229.66 229.54 261.27 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Ryzen 9 7900X3D Processor: AMD Ryzen 9 7900X3D 12-Core @ 5.66GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 June 2024 19:24 by user phoronix.
Ryzen 9 7950X3D Processor: AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 June 2024 13:01 by user phoronix.
Ryzen 9 7950X Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 9 June 2024 19:17 by user phoronix.
Ryzen 7 8700G Processor: AMD Ryzen 7 8700G @ 5.18GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705205Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 June 2024 23:01 by user phoronix.
Ryzen 9 7900 Processor: AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 12 June 2024 12:31 by user phoronix.
Ryzen 5 7600X Processor: AMD Ryzen 5 7600X 6-Core @ 5.45GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 June 2024 16:58 by user phoronix.
Ryzen 7 7700X Processor: AMD Ryzen 7 7700X 8-Core @ 5.57GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 June 2024 12:58 by user phoronix.
Ryzen 9 7900X Processor: AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 16 June 2024 19:43 by user phoronix.
Ryzen 7 7800X3D Processor: AMD Ryzen 7 7800X3D 8-Core @ 5.05GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 19 June 2024 22:02 by user phoronix.
Ryzen 7 7700 Processor: AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 21 June 2024 12:27 by user phoronix.
Ryzen 5 8400F Processor: AMD Ryzen 5 8400F 6-Core @ 4.76GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705205Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 June 2024 23:08 by user phoronix.
Ryzen 5 8600G Processor: AMD Ryzen 5 8600G @ 5.07GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705205Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 June 2024 12:45 by user phoronix.
Ryzen 5 7600 Processor: AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 26 June 2024 00:52 by user phoronix.
Core i9 14900K Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1658 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 June 2024 17:03 by user phoronix.
Core i5 14500 Processor: Intel Core i5-14500 @ 5.00GHz (14 Cores / 20 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1658 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x35 - Thermald 2.5.6Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 June 2024 11:01 by user phoronix.
Core i5 14400F Processor: Intel Core i5-14400F @ 4.70GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1658 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 July 2024 16:02 by user phoronix.
Core i5 14600K Processor: Intel Core i5-14600K @ 5.30GHz (14 Cores / 20 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1658 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 July 2024 20:43 by user phoronix.
Core i3 14100 Processor: Intel Core i3-14100 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1658 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc2-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x35 - Thermald 2.5.6Java Notes: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Notes: Python 3.12.3Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 July 2024 13:51 by user phoronix.