Benchmarks by Michael Larabel for a future article.
LULESH LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 2K 4K 6K 8K 10K SE +/- 4.30, N = 8 SE +/- 4.68, N = 6 SE +/- 10.98, N = 6 SE +/- 15.25, N = 6 SE +/- 20.10, N = 7 SE +/- 26.27, N = 7 1786.08 8017.06 8539.76 8553.70 9055.27 9097.68 1. (CXX) g++ options: -O3 -fopenmp -lm -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 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 6K 12K 18K 24K 30K SE +/- 27.53, N = 3 SE +/- 7.96, N = 3 SE +/- 5.14, N = 3 SE +/- 36.67, N = 3 SE +/- 15.43, N = 3 SE +/- 19.36, N = 3 8561.50 13428.54 17588.98 19880.37 23606.79 26125.90 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 0.7301 1.4602 2.1903 2.9204 3.6505 SE +/- 0.00353, N = 7 SE +/- 0.00306, N = 7 SE +/- 0.00252, N = 7 SE +/- 0.00812, N = 7 SE +/- 0.00054, N = 7 SE +/- 0.00121, N = 7 3.24493 3.15255 1.81298 1.69526 1.37135 1.08250 MIN: 3.17 MIN: 3.08 MIN: 1.75 MIN: 1.64 MIN: 1.35 MIN: 1.03 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Stress-NG OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: CPU Cache Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 30111.46, N = 15 SE +/- 22413.02, N = 3 SE +/- 4040.61, N = 3 SE +/- 39256.30, N = 15 SE +/- 34972.41, N = 3 SE +/- 72128.97, N = 3 1987512.19 2186099.11 2261408.13 2868842.43 4401318.96 5845633.35 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X 0.3623 0.7246 1.0869 1.4492 1.8115 SE +/- 0.01, N = 15 SE +/- 0.04, N = 3 SE +/- 0.02, N = 4 SE +/- 0.01, N = 7 SE +/- 0.01, N = 12 SE +/- 0.01, N = 15 1.61 1.56 1.46 1.38 0.55 0.55 MIN: 1.47 / MAX: 7.74 MIN: 1.47 / MAX: 36.41 MIN: 1.39 / MAX: 17.44 MIN: 1.32 / MAX: 7.12 MIN: 0.52 / MAX: 4.68 MIN: 0.49 / MAX: 4.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 20K 40K 60K 80K 100K SE +/- 101.69, N = 3 SE +/- 106.89, N = 3 SE +/- 57.81, N = 3 SE +/- 51.11, N = 3 SE +/- 41.08, N = 3 SE +/- 22.10, N = 3 83779 62682 41851 39193 31516 29432 1. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 20K 40K 60K 80K 100K SE +/- 290.34, N = 3 SE +/- 64.17, N = 3 SE +/- 10.99, N = 3 SE +/- 58.24, N = 3 SE +/- 320.57, N = 3 SE +/- 42.44, N = 3 99550 73884 49950 46829 37155 35187 1. (CXX) g++ options: -O3 -lm -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 Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 2K 4K 6K 8K 10K SE +/- 39.27, N = 6 SE +/- 165.08, N = 6 SE +/- 108.00, N = 6 SE +/- 83.88, N = 5 SE +/- 54.18, N = 7 SE +/- 153.85, N = 6 4098.16 5145.57 5675.30 6111.41 10186.42 11503.20 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 600 1200 1800 2400 3000 SE +/- 3.79, N = 3 SE +/- 1.53, N = 3 SE +/- 1.53, N = 3 SE +/- 0.33, N = 3 SE +/- 3.48, N = 3 SE +/- 1.20, N = 3 2998 2213 1559 1466 1178 1097 1. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 9K 18K 27K 36K 45K SE +/- 103.96, N = 3 SE +/- 25.24, N = 3 SE +/- 5.13, N = 3 SE +/- 40.70, N = 3 SE +/- 13.57, N = 3 SE +/- 4.18, N = 3 40074 29592 21291 19622 15867 14683 1. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 500 1000 1500 2000 2500 SE +/- 1.45, N = 3 SE +/- 3.18, N = 3 SE +/- 2.60, N = 3 SE +/- 2.00, N = 3 SE +/- 5.84, N = 3 SE +/- 0.58, N = 3 2506 1850 1330 1228 971 919 1. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 10K 20K 30K 40K 50K SE +/- 100.36, N = 3 SE +/- 48.79, N = 3 SE +/- 6.03, N = 3 SE +/- 14.34, N = 3 SE +/- 180.23, N = 3 SE +/- 10.50, N = 3 47897 35318 24900 23448 18610 17576 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 FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 600 1200 1800 2400 3000 SE +/- 1.89, N = 3 SE +/- 1.59, N = 3 SE +/- 2.00, N = 3 SE +/- 1.22, N = 3 SE +/- 1.47, N = 3 SE +/- 5.17, N = 3 1067.99 1491.00 1951.94 2195.49 2616.10 2894.70 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Stress-NG OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: Context Switching Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2M 4M 6M 8M 10M SE +/- 12124.10, N = 3 SE +/- 8621.39, N = 3 SE +/- 75039.03, N = 4 SE +/- 53501.91, N = 3 SE +/- 58598.77, N = 3 SE +/- 90303.53, N = 6 3332864.04 4388025.24 6210682.93 6683204.62 8280952.54 8930648.88 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.035651, N = 12 SE +/- 0.070442, N = 3 SE +/- 0.014153, N = 3 SE +/- 0.063420, N = 3 SE +/- 0.114795, N = 15 SE +/- 0.123200, N = 3 4.176715 5.679511 8.006449 8.579462 11.092860 11.190906 1. (CC) gcc options: -O3 -march=native -fopenmp
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 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 10K 20K 30K 40K 50K SE +/- 200.07, N = 3 SE +/- 62.88, N = 3 SE +/- 6.01, N = 3 SE +/- 23.20, N = 3 SE +/- 63.20, N = 3 SE +/- 58.03, N = 3 16786.84 23143.21 30248.71 34149.69 40616.95 44976.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Stress-NG OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: CPU Stress Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 13K 26K 39K 52K 65K SE +/- 243.21, N = 5 SE +/- 248.37, N = 3 SE +/- 143.52, N = 3 SE +/- 340.75, N = 3 SE +/- 130.71, N = 3 SE +/- 410.92, N = 15 23168.83 30478.11 41808.60 45586.84 59420.40 61633.57 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: Vector Math Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30K 60K 90K 120K 150K SE +/- 15.42, N = 3 SE +/- 43.37, N = 3 SE +/- 38.31, N = 3 SE +/- 5.16, N = 3 SE +/- 42.17, N = 3 SE +/- 1868.35, N = 3 55522.03 73951.14 102534.49 109496.96 138158.81 146978.58 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
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 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 400 800 1200 1600 2000 SE +/- 2.45, N = 3 SE +/- 1.24, N = 3 SE +/- 5.71, N = 3 SE +/- 5.25, N = 3 SE +/- 0.62, N = 3 SE +/- 15.62, N = 3 631.71 887.85 1183.17 1273.29 1666.23 1670.00 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 0.8595 1.719 2.5785 3.438 4.2975 SE +/- 0.03, N = 14 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 7 SE +/- 0.01, N = 14 SE +/- 0.01, N = 11 3.82 3.64 3.59 3.45 1.52 1.45 MIN: 3.6 / MAX: 102.47 MIN: 3.56 / MAX: 3.87 MIN: 3.39 / MAX: 37.91 MIN: 3.34 / MAX: 9.35 MIN: 1.47 / MAX: 5.96 MIN: 1.39 / MAX: 7.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 3.1 Algorithm: SHA256 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 8000M 16000M 24000M 32000M 40000M SE +/- 8147449.84, N = 3 SE +/- 23422908.44, N = 3 SE +/- 17850918.80, N = 3 SE +/- 9268070.35, N = 3 SE +/- 34835211.23, N = 3 SE +/- 14905556.09, N = 3 14019104657 18758255480 25333420457 27774892630 34083061387 36876473217 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 3000M 6000M 9000M 12000M 15000M SE +/- 1516718.41, N = 3 SE +/- 648242.55, N = 3 SE +/- 2012680.78, N = 3 SE +/- 2906689.88, N = 3 SE +/- 4981029.00, N = 3 SE +/- 706456.47, N = 3 4521572843 6045361797 8077182850 8954360150 10865945407 11877896243 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Stress-NG OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: Crypto Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 13K 26K 39K 52K 65K SE +/- 68.01, N = 3 SE +/- 61.93, N = 3 SE +/- 359.43, N = 13 SE +/- 32.72, N = 3 SE +/- 222.65, N = 3 SE +/- 79.86, N = 3 23979.53 31973.01 44106.93 47474.81 58628.40 62992.35 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
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 2022.3 Model: Face Detection FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 10.84 14.82 19.40 21.44 26.10 28.41 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 3.1 Algorithm: RSA4096 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 80K 160K 240K 320K 400K SE +/- 73.28, N = 3 SE +/- 192.25, N = 3 SE +/- 31.72, N = 3 SE +/- 3000.81, N = 3 SE +/- 131.45, N = 3 SE +/- 115.21, N = 3 151335.5 201878.7 278454.9 295424.5 375876.2 396563.6 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: bcrypt Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 10K 20K 30K 40K 50K SE +/- 36.88, N = 3 SE +/- 57.50, N = 3 SE +/- 38.97, N = 3 SE +/- 32.42, N = 3 SE +/- 50.05, N = 3 SE +/- 118.42, N = 3 17935 23864 32480 34984 43916 46940 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: Blowfish Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 10K 20K 30K 40K 50K SE +/- 34.94, N = 3 SE +/- 36.09, N = 3 SE +/- 73.96, N = 3 SE +/- 11.55, N = 3 SE +/- 53.53, N = 3 SE +/- 87.21, N = 3 17882 23808 32441 34892 43921 46733 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
Stress-NG OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: Matrix Math Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30K 60K 90K 120K 150K SE +/- 85.53, N = 3 SE +/- 89.13, N = 3 SE +/- 83.36, N = 3 SE +/- 156.30, N = 3 SE +/- 182.43, N = 3 SE +/- 85.06, N = 3 50108.06 66937.51 92493.91 99161.50 123807.35 130771.71 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 40K 80K 120K 160K 200K SE +/- 209.34, N = 3 SE +/- 56.15, N = 3 SE +/- 281.33, N = 3 SE +/- 301.73, N = 3 SE +/- 398.09, N = 3 SE +/- 404.67, N = 3 70465 93559 130797 137455 175804 183712 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 8.0 Test: Random Read Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30M 60M 90M 120M 150M SE +/- 386524.38, N = 3 SE +/- 518042.81, N = 3 SE +/- 77605.89, N = 3 SE +/- 145291.54, N = 3 SE +/- 71922.56, N = 3 SE +/- 393815.64, N = 3 57784648 76824213 106531978 114652935 142423198 150553441 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 3.1 Algorithm: ChaCha20 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30000M 60000M 90000M 120000M 150000M SE +/- 3351916.44, N = 3 SE +/- 2287404.12, N = 3 SE +/- 4098947.09, N = 3 SE +/- 32700124.58, N = 3 SE +/- 50740995.75, N = 3 SE +/- 33952426.18, N = 3 53007348987 70980755090 97762009177 104393123613 130800049447 137901393417 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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 FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 300 600 900 1200 1500 SE +/- 0.59, N = 3 SE +/- 0.58, N = 3 SE +/- 0.51, N = 3 SE +/- 0.69, N = 3 SE +/- 0.14, N = 3 SE +/- 1.47, N = 3 556.39 745.06 993.11 1093.65 1337.36 1447.01 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 3.4 Blend File: BMW27 - Compute: CPU-Only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 128.42 97.00 70.03 65.31 52.16 49.38
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 40K 80K 120K 160K 200K SE +/- 68.21, N = 3 SE +/- 219.54, N = 3 SE +/- 90.21, N = 3 SE +/- 113.24, N = 3 SE +/- 546.53, N = 3 SE +/- 355.52, N = 3 67935 91048 122794 132237 165441 176569 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
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 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.00579, N = 3 SE +/- 0.00213, N = 3 SE +/- 0.00404, N = 3 SE +/- 0.00534, N = 3 SE +/- 0.01069, N = 3 SE +/- 0.00581, N = 3 3.66513 4.86544 6.69392 7.18054 8.97591 9.52467
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 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 90 180 270 360 450 SE +/- 0.29, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 412.55 309.02 225.19 209.33 168.04 158.81
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 40 80 120 160 200 SE +/- 0.55, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 165.78 124.40 90.46 84.08 67.50 63.91
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 1000K 2000K 3000K 4000K 5000K SE +/- 1201.85, N = 3 SE +/- 1666.67, N = 3 SE +/- 881.92, N = 3 SE +/- 6333.33, N = 3 SE +/- 1452.97, N = 3 SE +/- 8412.95, N = 3 1797667 2391667 3076333 3507667 4172667 4662667 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 byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 20000M 40000M 60000M 80000M 100000M SE +/- 1775123.27, N = 3 SE +/- 9313096.26, N = 3 SE +/- 44766456.82, N = 3 SE +/- 7146104.90, N = 3 SE +/- 18286198.46, N = 3 SE +/- 7300302.65, N = 3 37810232343 50488170633 69423214137 74236623167 92910818527 98014059090 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 2.10 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.01020, N = 3 SE +/- 0.01753, N = 3 SE +/- 0.01886, N = 3 SE +/- 0.02378, N = 3 SE +/- 0.00256, N = 3 SE +/- 0.04136, N = 3 3.15250 4.17227 5.79455 6.14919 7.70353 8.14907
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.09, N = 15 SE +/- 0.16, N = 3 SE +/- 0.06, N = 4 SE +/- 0.06, N = 7 SE +/- 0.03, N = 15 SE +/- 0.02, N = 12 12.02 11.48 10.84 10.09 4.72 4.65 MIN: 11.13 / MAX: 54.52 MIN: 11.02 / MAX: 57.88 MIN: 10.58 / MAX: 22.78 MIN: 9.75 / MAX: 78.59 MIN: 4.47 / MAX: 12.85 MIN: 4.43 / MAX: 10.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 5.02 Mode: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 7K 14K 21K 28K 35K SE +/- 3.00, N = 3 SE +/- 43.14, N = 3 SE +/- 87.86, N = 3 SE +/- 53.72, N = 3 SE +/- 47.94, N = 3 SE +/- 67.51, N = 3 12661 16777 23405 24852 31366 32679
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 3.1 Algorithm: AES-256-GCM Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 50000M 100000M 150000M 200000M 250000M SE +/- 34295936.80, N = 3 SE +/- 62514843.80, N = 3 SE +/- 91047476.57, N = 3 SE +/- 52022105.73, N = 3 SE +/- 161187700.98, N = 3 SE +/- 184417335.88, N = 3 89148846343 118868213123 161867199010 174875900677 216581866383 230018087593 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 2.10 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.00203, N = 3 SE +/- 0.01549, N = 3 SE +/- 0.01960, N = 3 SE +/- 0.00117, N = 3 SE +/- 0.01462, N = 3 SE +/- 0.01094, N = 3 3.07215 4.08852 5.70237 6.00713 7.56975 7.92510
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 1.3417 2.6834 4.0251 5.3668 6.7085 SE +/- 0.002874, N = 3 SE +/- 0.004366, N = 3 SE +/- 0.022017, N = 3 SE +/- 0.007006, N = 3 SE +/- 0.018911, N = 3 SE +/- 0.033943, N = 3 2.314591 3.289405 3.876099 4.225190 5.627904 5.962995 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
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 3.1 Algorithm: AES-128-GCM Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 60000M 120000M 180000M 240000M 300000M SE +/- 110264265.91, N = 3 SE +/- 58489737.43, N = 3 SE +/- 68861884.05, N = 3 SE +/- 273721997.77, N = 3 SE +/- 268142967.38, N = 3 SE +/- 117940235.40, N = 3 104009854157 138903774913 188194158000 204135876927 251539600997 267753296510 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 3K 6K 9K 12K 15K SE +/- 5.70, N = 3 SE +/- 4.59, N = 3 SE +/- 21.30, N = 3 SE +/- 32.50, N = 3 SE +/- 11.09, N = 3 SE +/- 18.16, N = 3 6019.2 8056.8 10345.0 11924.1 13817.5 15483.5 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 2.10 Benchmark: particle_volume/ao/real_time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.00079, N = 3 SE +/- 0.00095, N = 3 SE +/- 0.00442, N = 3 SE +/- 0.00266, N = 3 SE +/- 0.00527, N = 3 SE +/- 0.00263, N = 3 3.11493 4.12599 5.63374 6.04630 7.57160 7.99661
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 2022.3 Model: Face Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 5.63 7.54 10.08 11.01 13.51 14.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 16M 32M 48M 64M 80M SE +/- 407183.28, N = 3 SE +/- 324778.30, N = 9 SE +/- 577386.15, N = 5 SE +/- 707337.29, N = 3 SE +/- 920101.18, N = 3 SE +/- 370661.05, N = 3 29952040 39398726 53336421 55546155 73174480 76739318 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Crown Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 13.39 17.66 25.53 26.11 34.07 34.28 MIN: 13.26 / MAX: 13.7 MIN: 17.48 / MAX: 18.14 MIN: 25.21 / MAX: 26.05 MIN: 25.76 / MAX: 26.88 MIN: 33.71 / MAX: 34.96 MIN: 33.87 / MAX: 35.29
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 2.10 Benchmark: particle_volume/scivis/real_time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.00183, N = 3 SE +/- 0.00262, N = 3 SE +/- 0.00266, N = 3 SE +/- 0.00644, N = 3 SE +/- 0.00360, N = 3 SE +/- 0.03487, N = 3 3.10974 4.10773 5.62332 6.02533 7.55098 7.94518
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 days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.4435 0.887 1.3305 1.774 2.2175 SE +/- 0.00129, N = 3 SE +/- 0.00017, N = 3 SE +/- 0.00072, N = 3 SE +/- 0.00072, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.00180, N = 3 1.97092 1.48744 1.08274 1.00666 0.81574 0.77148
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Crown Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 12.54 16.53 23.90 24.30 31.87 31.88 MIN: 12.4 / MAX: 12.78 MIN: 16.29 / MAX: 16.93 MIN: 23.65 / MAX: 24.33 MIN: 24.1 / MAX: 24.75 MIN: 31.55 / MAX: 32.69 MIN: 31.52 / MAX: 32.48
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.00858, N = 3 SE +/- 0.05564, N = 3 SE +/- 0.03875, N = 3 SE +/- 0.07019, N = 13 SE +/- 0.03356, N = 3 SE +/- 0.01772, N = 3 9.04052 6.87028 5.22178 4.81751 3.94232 3.55733 MIN: 8.66 MIN: 6.53 MIN: 5.03 MIN: 4.54 MIN: 3.73 MIN: 3.41 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
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 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 400 800 1200 1600 2000 SE +/- 1.39, N = 3 SE +/- 5.56, N = 3 SE +/- 0.51, N = 3 SE +/- 1.67, N = 3 SE +/- 4.25, N = 3 SE +/- 0.30, N = 3 730.50 942.04 1254.43 1398.20 1707.05 1855.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 600 1200 1800 2400 3000 SE +/- 5.29, N = 3 SE +/- 0.49, N = 3 SE +/- 0.65, N = 3 SE +/- 1.85, N = 3 SE +/- 0.69, N = 3 SE +/- 1.22, N = 3 2874.18 2062.84 1559.98 1431.03 1215.85 1133.72 MIN: 2848.45 MIN: 2052.99 MIN: 1553.13 MIN: 1419.84 MIN: 1205.62 MIN: 1124.52 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.8784 1.7568 2.6352 3.5136 4.392 SE +/- 0.000146, N = 3 SE +/- 0.001267, N = 3 SE +/- 0.012268, N = 3 SE +/- 0.005093, N = 3 SE +/- 0.033927, N = 3 SE +/- 0.026958, N = 3 1.542010 2.165827 2.560802 2.803825 3.696535 3.904150 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 300 600 900 1200 1500 SE +/- 0.93, N = 3 SE +/- 0.72, N = 3 SE +/- 0.58, N = 3 SE +/- 0.65, N = 3 SE +/- 2.71, N = 3 SE +/- 3.90, N = 3 1445.76 1026.63 802.17 731.94 623.48 577.36 MIN: 1426.15 MIN: 1018.25 MIN: 797.8 MIN: 724.15 MIN: 612.64 MIN: 566.15 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
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 2022.3 Model: Vehicle Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 200 400 600 800 1000 SE +/- 4.30, N = 3 SE +/- 1.05, N = 3 SE +/- 0.45, N = 3 SE +/- 1.83, N = 3 SE +/- 1.43, N = 3 SE +/- 1.01, N = 3 404.65 486.21 738.48 771.37 791.99 1012.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 16 32 48 64 80 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 71.67 69.44 48.69 46.81 30.96 28.77 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.1178 0.2356 0.3534 0.4712 0.589 SE +/- 0.001117, N = 4 SE +/- 0.000777, N = 4 SE +/- 0.000079, N = 4 SE +/- 0.000580, N = 4 SE +/- 0.000412, N = 4 SE +/- 0.000516, N = 4 0.523691 0.387994 0.294963 0.264671 0.229639 0.210336 MIN: 0.51 MIN: 0.37 MIN: 0.29 MIN: 0.25 MIN: 0.22 MIN: 0.2 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 1.2507 2.5014 3.7521 5.0028 6.2535 SE +/- 0.004067, N = 3 SE +/- 0.006900, N = 3 SE +/- 0.015310, N = 3 SE +/- 0.009412, N = 3 SE +/- 0.042581, N = 3 SE +/- 0.044084, N = 3 2.251450 3.157817 3.684021 3.999246 5.202820 5.558666 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
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 2022.3 Model: Person Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.00, 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 3.11 4.15 5.63 6.02 7.34 7.65 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 13.76 17.86 25.84 25.92 32.70 33.71 MIN: 13.69 / MAX: 13.9 MIN: 17.78 / MAX: 18.18 MIN: 25.69 / MAX: 26.23 MIN: 25.79 / MAX: 26.15 MIN: 32.52 / MAX: 33.15 MIN: 33.5 / MAX: 34.21
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 12.45 16.07 23.25 23.32 29.08 30.31 MIN: 12.38 / MAX: 12.62 MIN: 15.95 / MAX: 16.28 MIN: 23.04 / MAX: 23.56 MIN: 23.13 / MAX: 23.72 MIN: 28.87 / MAX: 29.59 MIN: 29.99 / MAX: 30.83
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 2022.3 Model: Person Detection FP32 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 3.13 4.16 5.52 5.93 7.31 7.54 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.8012 1.6024 2.4036 3.2048 4.006 SE +/- 0.001407, N = 3 SE +/- 0.008125, N = 3 SE +/- 0.001425, N = 3 SE +/- 0.002243, N = 3 SE +/- 0.014635, N = 3 SE +/- 0.008262, N = 3 1.488872 2.071484 2.456949 2.627352 3.355091 3.560690 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
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 6.1 Build: allmodconfig Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 300 600 900 1200 1500 SE +/- 0.17, N = 3 SE +/- 0.34, N = 3 SE +/- 0.53, N = 3 SE +/- 0.30, N = 3 SE +/- 0.65, N = 3 SE +/- 0.24, N = 3 1224.06 948.63 673.54 649.96 516.66 512.24
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 7.34 VGR Performance Metric Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 90K 180K 270K 360K 450K 178971 238518 298762 323759 403518 426288 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 0.5874 1.1748 1.7622 2.3496 2.937 SE +/- 0.01438, N = 5 SE +/- 0.01211, N = 5 SE +/- 0.01138, N = 5 SE +/- 0.00626, N = 5 SE +/- 0.00974, N = 5 SE +/- 0.01363, N = 14 2.61085 2.36119 1.56158 1.54301 1.15780 1.09757 MIN: 2.48 MIN: 2.28 MIN: 1.43 MIN: 1.44 MIN: 1.07 MIN: 0.93 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 9 18 27 36 45 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 +/- 0.03, N = 3 15.74 20.35 29.06 29.57 34.95 37.24 MIN: 15.64 / MAX: 15.98 MIN: 20.22 / MAX: 20.73 MIN: 28.88 / MAX: 29.56 MIN: 29.35 / MAX: 30.08 MIN: 34.59 / MAX: 35.88 MIN: 36.89 / MAX: 38.22
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.7479 1.4958 2.2437 2.9916 3.7395 SE +/- 0.00860, N = 9 SE +/- 0.00300, N = 9 SE +/- 0.00341, N = 9 SE +/- 0.00137, N = 9 SE +/- 0.00164, N = 9 SE +/- 0.00282, N = 9 3.32379 2.25346 2.01399 1.79896 1.51306 1.40617 MIN: 2.96 MIN: 2.11 MIN: 1.97 MIN: 1.7 MIN: 1.46 MIN: 1.34 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 13.43 17.36 24.77 25.20 29.86 31.76 MIN: 13.34 / MAX: 13.74 MIN: 17.25 / MAX: 17.65 MIN: 24.58 / MAX: 25.23 MIN: 25 / MAX: 25.6 MIN: 29.55 / MAX: 30.93 MIN: 31.51 / MAX: 32.61
uvg266 uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 4 SE +/- 0.02, N = 4 SE +/- 0.09, N = 4 21.68 28.16 33.45 37.15 46.36 50.92
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 1500 3000 4500 6000 7500 SE +/- 18.56, N = 6 SE +/- 24.15, N = 6 SE +/- 19.61, N = 6 SE +/- 46.73, N = 7 SE +/- 42.46, N = 6 SE +/- 58.70, N = 6 2942.63 3385.47 4992.69 6033.85 6075.77 6888.46 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
x264 This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x264 2022-02-22 Video Input: Bosphorus 4K Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.42, N = 3 SE +/- 0.49, N = 4 SE +/- 0.48, N = 8 SE +/- 0.47, N = 10 SE +/- 0.51, N = 15 SE +/- 0.57, N = 15 33.33 43.40 56.36 61.51 71.98 77.15 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
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: 200 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 40K 80K 120K 160K 200K SE +/- 237.39, N = 3 SE +/- 188.30, N = 3 SE +/- 75.96, N = 3 SE +/- 131.80, N = 3 SE +/- 298.51, N = 3 SE +/- 85.31, N = 3 81518.68 109607.62 135184.24 148467.63 179232.78 188361.90 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.34 0.68 1.02 1.36 1.7 SE +/- 0.000252, N = 4 SE +/- 0.000514, N = 4 SE +/- 0.001233, N = 4 SE +/- 0.003738, N = 4 SE +/- 0.007186, N = 15 SE +/- 0.007237, N = 5 1.511190 1.145810 1.067570 0.974613 0.722234 0.654945 MIN: 1.44 MIN: 1.1 MIN: 1.03 MIN: 0.92 MIN: 0.64 MIN: 0.59 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 0.7403 1.4806 2.2209 2.9612 3.7015 SE +/- 0.01, N = 15 SE +/- 0.05, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 7 SE +/- 0.02, N = 15 SE +/- 0.02, N = 12 3.29 3.19 3.08 2.96 1.55 1.43 MIN: 3.18 / MAX: 9.47 MIN: 3.06 / MAX: 33.7 MIN: 3.03 / MAX: 7.37 MIN: 2.84 / MAX: 7.42 MIN: 1.42 / MAX: 7.54 MIN: 1.35 / MAX: 7.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 179 230 328 329 407 409 MIN: 21 / MAX: 2742 MIN: 28 / MAX: 3431 MIN: 42 / MAX: 4570 MIN: 39 / MAX: 4761 MIN: 53 / MAX: 5124 MIN: 56 / MAX: 5419
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 0.7673 1.5346 2.3019 3.0692 3.8365 SE +/- 0.01, N = 15 SE +/- 0.04, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 7 SE +/- 0.03, N = 15 SE +/- 0.01, N = 11 3.41 3.25 3.19 3.06 1.63 1.50 MIN: 3.25 / MAX: 9.47 MIN: 3.15 / MAX: 9.02 MIN: 3.12 / MAX: 9.3 MIN: 2.95 / MAX: 10.86 MIN: 1.5 / MAX: 7.84 MIN: 1.44 / MAX: 7.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
uvg266 uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 13 26 39 52 65 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 4 SE +/- 0.07, N = 4 SE +/- 0.08, N = 5 SE +/- 0.06, N = 5 26.35 33.93 39.27 43.72 54.45 59.81
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: 100 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 40K 80K 120K 160K 200K SE +/- 59.93, N = 3 SE +/- 52.22, N = 3 SE +/- 26.01, N = 3 SE +/- 234.97, N = 3 SE +/- 87.07, N = 3 SE +/- 413.17, N = 3 83186.07 110819.10 134927.90 147810.43 177681.07 188405.16 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
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 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 0.6062 1.2124 1.8186 2.4248 3.031 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 1.192 1.547 2.268 2.283 2.608 2.694 1. (CXX) g++ options: -O3
uvg266 uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 4 SE +/- 0.04, N = 4 20.49 26.56 31.20 34.76 41.84 46.30
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 40K 80K 120K 160K 200K SE +/- 81.55, N = 3 SE +/- 81.47, N = 3 SE +/- 53.85, N = 3 SE +/- 174.57, N = 3 SE +/- 901.16, N = 3 SE +/- 116.67, N = 3 74596.44 98019.87 129547.31 133655.23 152268.17 168262.81 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 40K 80K 120K 160K 200K SE +/- 213.27, N = 3 SE +/- 80.81, N = 3 SE +/- 56.06, N = 3 SE +/- 151.91, N = 3 SE +/- 186.86, N = 3 SE +/- 98.23, N = 3 78427.06 104108.32 132147.38 142134.15 173022.34 175066.40 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Timed Node.js Compilation This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 130 260 390 520 650 SE +/- 0.36, N = 3 SE +/- 0.27, N = 3 SE +/- 0.22, N = 3 SE +/- 0.63, N = 3 SE +/- 0.20, N = 3 SE +/- 0.30, N = 3 599.26 476.89 337.73 330.17 273.11 269.14
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 80 160 240 320 400 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.22, N = 3 373.15 296.48 212.94 207.82 169.65 168.86
Stress-NG OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.06 Test: Memory Copying Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 1700 3400 5100 6800 8500 SE +/- 2.53, N = 3 SE +/- 0.74, N = 3 SE +/- 18.76, N = 3 SE +/- 17.75, N = 3 SE +/- 2.37, N = 3 SE +/- 6.93, N = 3 3512.67 4667.35 5447.10 6023.67 7102.84 7725.73 1. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 60 120 180 240 300 271.01 248.83 172.51 160.43 139.48 124.42 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
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 36.76 32.55 25.06 24.30 19.30 16.89 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
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: Unix Makefiles Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 160 320 480 640 800 SE +/- 3.59, N = 3 SE +/- 4.75, N = 3 SE +/- 0.47, N = 3 SE +/- 3.39, N = 3 SE +/- 2.40, N = 3 SE +/- 1.01, N = 3 763.37 605.04 439.27 424.14 355.89 353.40
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 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.85, N = 3 SE +/- 0.64, N = 3 SE +/- 0.19, N = 3 SE +/- 0.31, N = 3 SE +/- 0.38, N = 3 SE +/- 1.36, N = 3 63.38 82.80 106.64 111.07 136.13 136.83 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 40M 80M 120M 160M 200M SE +/- 14437.61, N = 3 SE +/- 56665.69, N = 3 SE +/- 118569.72, N = 3 SE +/- 73384.83, N = 3 SE +/- 67414.97, N = 3 SE +/- 689894.03, N = 3 94463333 124776000 149377333 163046000 188100333 202082333 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Video Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 7K 14K 21K 28K 35K SE +/- 370.51, N = 3 SE +/- 762.84, N = 15 SE +/- 343.95, N = 3 SE +/- 248.27, N = 3 SE +/- 128.60, N = 3 SE +/- 195.46, N = 4 33702 31168 26249 25421 16769 15782 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 6.1 Build: defconfig Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.27, N = 3 SE +/- 0.52, N = 3 SE +/- 0.39, N = 3 SE +/- 0.33, N = 3 SE +/- 0.39, N = 3 SE +/- 0.28, N = 3 96.34 77.08 57.69 55.49 46.32 45.70
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 4.0 Model: Layered Halfspace Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 40 80 120 160 200 SE +/- 1.37, N = 3 SE +/- 1.03, N = 3 SE +/- 0.27, N = 3 SE +/- 0.62, N = 3 SE +/- 0.18, N = 3 SE +/- 0.55, N = 14 160.17 124.95 93.04 90.74 78.08 76.27 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -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
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 2K 4K 6K 8K 10K SE +/- 40.41, N = 4 SE +/- 42.25, N = 3 SE +/- 84.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 77.53, N = 3 5248.85 5788.76 10008.01 10092.10 10710.00 11010.70 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Build2 This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.15 Time To Compile Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.80, N = 3 SE +/- 0.26, N = 3 SE +/- 0.62, N = 3 SE +/- 0.46, N = 3 SE +/- 0.10, N = 3 SE +/- 0.77, N = 5 144.64 114.60 85.97 85.30 69.89 69.76
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 40K 80K 120K 160K 200K SE +/- 206.12, N = 3 SE +/- 82.20, N = 3 SE +/- 502.29, N = 3 SE +/- 101.82, N = 3 SE +/- 280.05, N = 3 SE +/- 382.02, N = 3 91081 113954 154925 156647 183767 188382 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
x264 This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x264 2022-02-22 Video Input: Bosphorus 1080p Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 60 120 180 240 300 SE +/- 0.47, N = 8 SE +/- 0.61, N = 9 SE +/- 0.59, N = 10 SE +/- 0.67, N = 10 SE +/- 0.82, N = 10 SE +/- 0.77, N = 15 144.60 187.73 230.39 253.73 268.52 297.38 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
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 4.2.1 Test: Server Rack - Acceleration: CPU-only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.0707 0.1414 0.2121 0.2828 0.3535 SE +/- 0.001, N = 13 SE +/- 0.001, N = 14 SE +/- 0.000, N = 14 SE +/- 0.001, N = 14 SE +/- 0.001, N = 14 SE +/- 0.001, N = 14 0.314 0.248 0.189 0.187 0.157 0.155
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 8.0 Test: Read While Writing Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 900K 1800K 2700K 3600K 4500K SE +/- 22094.66, N = 3 SE +/- 9341.69, N = 3 SE +/- 19357.48, N = 3 SE +/- 15861.29, N = 3 SE +/- 51551.36, N = 3 SE +/- 16167.79, N = 3 2157637 2853572 3273100 3413765 4284589 4368949 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 3K 6K 9K 12K 15K SE +/- 0.00, N = 4 SE +/- 59.02, N = 3 SE +/- 84.50, N = 3 SE +/- 116.93, N = 3 SE +/- 124.23, N = 3 SE +/- 101.60, N = 3 6348.28 6787.11 11577.50 11693.20 12175.60 12698.20 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 54.18 46.63 36.85 34.67 31.15 27.09 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X 0.8483 1.6966 2.5449 3.3932 4.2415 SE +/- 0.01, N = 15 SE +/- 0.05, N = 3 SE +/- 0.02, N = 4 SE +/- 0.08, N = 7 SE +/- 0.04, N = 12 SE +/- 0.02, N = 15 3.77 3.70 3.55 3.44 1.92 1.92 MIN: 3.61 / MAX: 49.21 MIN: 3.5 / MAX: 53.33 MIN: 3.49 / MAX: 3.96 MIN: 3.28 / MAX: 74.27 MIN: 1.79 / MAX: 7.82 MIN: 1.79 / MAX: 8.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 4.0 Model: Mount St. Helens Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 14 28 42 56 70 SE +/- 0.55, N = 3 SE +/- 0.71, N = 3 SE +/- 0.59, N = 3 SE +/- 1.26, N = 15 SE +/- 0.39, N = 15 SE +/- 0.36, N = 15 62.04 53.31 42.47 40.32 32.50 31.72 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -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
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 3.4 Video Input: Bosphorus 4K Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 8 16 24 32 40 SE +/- 0.13, N = 15 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 18.57 18.85 28.82 30.48 34.44 35.95 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
VVenC OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.029, N = 3 SE +/- 0.019, N = 3 4.059 5.081 6.088 6.691 7.218 7.805 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.02, N = 4 SE +/- 0.10, N = 4 SE +/- 0.13, N = 5 SE +/- 0.16, N = 5 SE +/- 0.28, N = 5 SE +/- 0.05, N = 5 38.91 49.13 59.53 64.76 70.02 74.79 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
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: 8, Long Mode - Compression Speed Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 200 400 600 800 1000 SE +/- 0.99, N = 3 SE +/- 0.94, N = 3 SE +/- 0.94, N = 3 SE +/- 2.65, N = 3 SE +/- 0.90, N = 3 SE +/- 3.26, N = 3 523.5 561.1 808.9 856.4 941.8 1001.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 200 400 600 800 1000 SE +/- 0.64, N = 3 SE +/- 1.90, N = 3 SE +/- 5.55, N = 15 SE +/- 3.12, N = 3 SE +/- 5.44, N = 3 SE +/- 7.92, N = 10 543.2 551.0 836.7 862.8 1031.0 1036.7 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 50K 100K 150K 200K 250K SE +/- 231.96, N = 3 SE +/- 1321.81, N = 6 SE +/- 1686.11, N = 4 SE +/- 2209.61, N = 3 SE +/- 1923.49, N = 3 117763.77 134983.40 140125.35 163211.39 223853.85 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
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 4.2.1 Test: Boat - Acceleration: CPU-only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.99 1.98 2.97 3.96 4.95 SE +/- 0.015, N = 7 SE +/- 0.009, N = 8 SE +/- 0.011, N = 9 SE +/- 0.013, N = 9 SE +/- 0.014, N = 9 SE +/- 0.007, N = 10 4.400 3.533 2.969 2.762 2.495 2.340
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 4.0 Model: Water-layered Halfspace Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 30 60 90 120 150 SE +/- 0.22, N = 3 SE +/- 0.86, N = 3 SE +/- 0.49, N = 3 SE +/- 0.43, N = 3 SE +/- 0.55, N = 3 SE +/- 2.08, N = 12 147.04 120.79 90.58 89.28 78.43 78.33 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -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
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 1.0575 2.115 3.1725 4.23 5.2875 SE +/- 0.05, N = 15 SE +/- 0.08, N = 3 SE +/- 0.04, N = 4 SE +/- 0.04, N = 7 SE +/- 0.03, N = 15 SE +/- 0.02, N = 12 4.70 4.65 4.36 4.19 2.85 2.62 MIN: 4.42 / MAX: 107.07 MIN: 4.46 / MAX: 47.15 MIN: 4.27 / MAX: 7.21 MIN: 4.02 / MAX: 10.5 MIN: 2.55 / MAX: 9.26 MIN: 2.43 / MAX: 8.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 1.2857 2.5714 3.8571 5.1428 6.4285 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.016, N = 3 3.207 3.965 4.604 5.093 5.292 5.714 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
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 4.0 Model: Homogeneous Halfspace Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 16 32 48 64 80 SE +/- 0.10, N = 3 SE +/- 0.64, N = 4 SE +/- 0.21, N = 3 SE +/- 0.33, N = 3 SE +/- 1.11, N = 15 SE +/- 0.66, N = 15 74.13 57.78 46.24 44.31 43.06 41.77 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -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
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 22.1 Input: Carbon Nanotube Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 50 100 150 200 250 SE +/- 0.68, N = 3 SE +/- 0.65, N = 3 SE +/- 0.38, N = 3 SE +/- 0.39, N = 3 SE +/- 0.04, N = 3 SE +/- 0.41, N = 3 223.23 191.06 150.84 143.85 137.89 126.80 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
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 4.0 Model: Tomographic Model Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X 13 26 39 52 65 SE +/- 0.50, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 SE +/- 0.70, N = 12 SE +/- 0.47, N = 3 SE +/- 0.27, N = 3 59.18 45.62 36.81 35.01 34.16 33.71 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -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
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 2.10 Benchmark: particle_volume/pathtracer/real_time Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 50 100 150 200 250 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.39, N = 3 SE +/- 0.50, N = 3 SE +/- 0.42, N = 3 SE +/- 0.07, N = 3 142.44 166.64 199.16 209.63 228.75 249.60
VVenC OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 4 8 12 16 20 SE +/- 0.003, N = 3 SE +/- 0.011, N = 3 SE +/- 0.024, N = 3 SE +/- 0.019, N = 3 SE +/- 0.029, N = 3 SE +/- 0.007, N = 3 8.791 10.652 12.365 13.485 14.193 15.133 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 900K 1800K 2700K 3600K 4500K SE +/- 5512.56, N = 3 SE +/- 7348.92, N = 3 SE +/- 3723.38, N = 3 SE +/- 4108.13, N = 3 SE +/- 6874.58, N = 3 SE +/- 4728.17, N = 3 2439025.75 3221061.70 3510381.43 3646277.88 3982059.12 4124930.57 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
VVenC OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 14.13 17.35 19.73 21.74 21.98 23.82 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
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 1.6.18 Set To Get Ratio: 1:10 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 900K 1800K 2700K 3600K 4500K SE +/- 8743.21, N = 3 SE +/- 8206.16, N = 3 SE +/- 31345.84, N = 3 SE +/- 42060.16, N = 3 SE +/- 31974.02, N = 3 SE +/- 50084.31, N = 3 2418021.17 3210247.22 3471647.55 3566082.94 3938540.03 4054196.00 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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 Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X3D 50K 100K 150K 200K 250K SE +/- 122.53, N = 3 SE +/- 527.82, N = 3 SE +/- 178.88, N = 3 SE +/- 1520.67, N = 3 SE +/- 1704.31, N = 3 137368.84 158235.02 161549.06 177117.15 230091.81 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 50 100 150 200 250 SE +/- 0.16, N = 7 SE +/- 0.41, N = 8 SE +/- 0.68, N = 8 SE +/- 0.56, N = 8 SE +/- 0.91, N = 9 SE +/- 1.09, N = 9 131.32 157.56 189.40 196.12 213.52 217.16 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
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: 12 - Compression Speed Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 70 140 210 280 350 SE +/- 0.39, N = 3 SE +/- 0.72, N = 3 SE +/- 0.55, N = 3 SE +/- 0.63, N = 3 SE +/- 1.32, N = 3 SE +/- 1.67, N = 3 182.3 195.6 248.6 254.7 299.5 299.9 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 8.0 Test: Read Random Write Random Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 700K 1400K 2100K 2800K 3500K SE +/- 20894.08, N = 3 SE +/- 2937.85, N = 3 SE +/- 17306.41, N = 3 SE +/- 1917.12, N = 3 SE +/- 14308.15, N = 3 SE +/- 2560.84, N = 3 2113490 2675448 2694347 2820528 3342984 3473140 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 4 SE +/- 0.08, N = 4 SE +/- 0.14, N = 4 SE +/- 0.02, N = 4 19.90 18.58 14.68 14.49 12.53 12.53 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
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 50 100 150 200 250 SE +/- 0.33, N = 8 SE +/- 0.37, N = 8 SE +/- 0.64, N = 9 SE +/- 0.38, N = 9 SE +/- 0.33, N = 9 SE +/- 0.40, N = 9 140.88 168.74 193.06 202.87 214.84 222.22 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
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 4.2.1 Test: Masskrug - Acceleration: CPU-only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 0.9248 1.8496 2.7744 3.6992 4.624 SE +/- 0.018, N = 8 SE +/- 0.013, N = 8 SE +/- 0.009, N = 9 SE +/- 0.008, N = 9 SE +/- 0.009, N = 9 SE +/- 0.005, N = 9 4.110 3.523 2.942 2.928 2.668 2.660
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 1.6.18 Set To Get Ratio: 1:100 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 800K 1600K 2400K 3200K 4000K SE +/- 1590.55, N = 3 SE +/- 10122.13, N = 3 SE +/- 7626.67, N = 3 SE +/- 7441.98, N = 3 SE +/- 6589.95, N = 3 SE +/- 13706.17, N = 3 2388901.55 3162482.24 3183961.70 3374511.84 3564857.90 3690970.44 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 600 1200 1800 2400 3000 SE +/- 15.74, N = 3 SE +/- 9.12, N = 3 SE +/- 50.07, N = 3 SE +/- 9.49, N = 15 SE +/- 40.19, N = 3 SE +/- 16.51, N = 5 1916.92 2122.35 2766.95 2838.93 2927.90 2960.62 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 800K 1600K 2400K 3200K 4000K SE +/- 1020.78, N = 3 SE +/- 3852.05, N = 3 SE +/- 12961.93, N = 3 SE +/- 16289.33, N = 3 SE +/- 6280.08, N = 3 SE +/- 9156.34, N = 3 2391691.96 3147488.47 3179844.53 3381093.61 3554398.24 3693334.62 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 7 7700X 2 4 6 8 10 SE +/- 0.09, N = 15 SE +/- 0.23, N = 3 SE +/- 0.16, N = 7 SE +/- 0.08, N = 4 SE +/- 0.12, N = 15 SE +/- 0.09, N = 12 8.75 8.56 8.30 8.17 6.44 5.67 MIN: 8.24 / MAX: 45.41 MIN: 7.94 / MAX: 62.45 MIN: 7.85 / MAX: 51.25 MIN: 7.98 / MAX: 9.1 MIN: 5.4 / MAX: 12.93 MIN: 5.23 / MAX: 11.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 8 16 24 32 40 34.23 30.40 26.17 24.88 24.35 22.49 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
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: 1:5 Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7950X 900K 1800K 2700K 3600K 4500K SE +/- 5672.75, N = 3 SE +/- 1748.55, N = 3 SE +/- 3998.91, N = 3 SE +/- 15821.73, N = 3 SE +/- 10711.98, N = 3 SE +/- 8487.52, N = 3 2762729.11 3261982.16 3428414.42 3591302.95 3953637.22 4117576.04 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 60 120 180 240 300 264.53 232.39 201.08 196.48 189.28 180.59 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
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Summer Nature 4K Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 90 180 270 360 450 SE +/- 0.06, N = 4 SE +/- 0.30, N = 5 SE +/- 0.63, N = 5 SE +/- 3.53, N = 5 SE +/- 2.95, N = 5 SE +/- 1.07, N = 5 275.71 343.08 366.43 368.45 395.58 402.89 1. (CC) gcc options: -pthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D 120 240 360 480 600 SE +/- 0.91, N = 4 SE +/- 0.73, N = 4 SE +/- 0.48, N = 4 SE +/- 1.79, N = 4 SE +/- 2.05, N = 5 SE +/- 0.97, N = 5 379.87 423.73 439.08 442.50 547.68 552.49 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 3.4 Video Input: Bosphorus 1080p Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.48, N = 6 SE +/- 0.46, N = 6 SE +/- 0.15, N = 7 SE +/- 0.14, N = 7 SE +/- 0.22, N = 7 SE +/- 0.21, N = 7 86.31 91.94 102.71 112.67 112.99 122.99 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 600 1200 1800 2400 3000 2632.44 2506.41 2170.64 2100.71 1913.59 1849.38 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
VVenC OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 10 20 30 40 50 SE +/- 0.06, N = 3 SE +/- 0.06, N = 4 SE +/- 0.06, N = 4 SE +/- 0.12, N = 4 SE +/- 0.04, N = 4 SE +/- 0.20, N = 4 31.94 37.76 39.95 42.24 43.09 44.95 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
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 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 6.33 5.07 4.80 4.78 4.71 4.50 MIN: 4.35 / MAX: 13.51 MIN: 3.65 / MAX: 17.79 MIN: 3.32 / MAX: 12.49 MIN: 3.43 / MAX: 12.92 MIN: 3.22 / MAX: 13.42 MIN: 3.35 / MAX: 11.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 2.10.34 Test: resize Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.100, N = 4 SE +/- 0.040, N = 4 SE +/- 0.069, N = 4 SE +/- 0.126, N = 4 SE +/- 0.032, N = 5 SE +/- 0.027, N = 5 13.313 12.796 12.326 12.244 9.559 9.505
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.36, N = 3 SE +/- 0.38, N = 3 SE +/- 0.48, N = 3 SE +/- 0.62, N = 3 81.50 76.88 67.07 65.94 61.35 58.29 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
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 7 14 21 28 35 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.22, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 20.50 21.71 22.09 23.67 24.07 28.51 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7950X3D 500 1000 1500 2000 2500 SE +/- 10.67, N = 3 SE +/- 4.65, N = 3 SE +/- 15.27, N = 3 SE +/- 14.62, N = 3 SE +/- 34.17, N = 15 SE +/- 23.70, N = 5 1687.08 1784.98 2009.50 2114.75 2148.45 2323.16 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 2022.3 Model: Vehicle Detection FP16 - Device: CPU Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7900X3D 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 10.36 9.88 8.22 8.12 7.89 7.57 MIN: 3.84 / MAX: 24.51 MIN: 5.38 / MAX: 18.64 MIN: 3.61 / MAX: 16.56 MIN: 3.99 / MAX: 19.72 MIN: 4.15 / MAX: 15.99 MIN: 4.27 / MAX: 20.97 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Image Processing Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 20K 40K 60K 80K 100K SE +/- 764.22, N = 15 SE +/- 750.41, N = 15 SE +/- 315.95, N = 3 SE +/- 840.30, N = 3 SE +/- 959.48, N = 3 SE +/- 383.74, N = 3 85537 81537 81536 79864 68959 62606 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 2022.3 Model: Face Detection FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 80 160 240 320 400 SE +/- 0.67, N = 3 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 SE +/- 0.42, N = 3 SE +/- 0.58, N = 3 SE +/- 1.32, N = 3 368.29 308.86 305.98 280.96 279.40 269.69 MIN: 193.61 / MAX: 387.71 MIN: 298.12 / MAX: 320.39 MIN: 165.89 / MAX: 315 MIN: 147.36 / MAX: 288.37 MIN: 178.37 / MAX: 291.55 MIN: 197.15 / MAX: 279.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 70 140 210 280 350 SE +/- 0.72, N = 3 SE +/- 0.98, N = 3 SE +/- 2.59, N = 3 SE +/- 4.91, N = 3 SE +/- 2.69, N = 4 SE +/- 1.89, N = 3 230.63 252.60 276.80 286.69 303.04 314.37 MIN: 8.23 / MAX: 8571.43 MIN: 11.25 / MAX: 10000 MIN: 15.24 / MAX: 12000 MIN: 16.3 / MAX: 12000 MIN: 14.81 / MAX: 12000 MIN: 15.78 / MAX: 10000
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 4.2.1 Test: Server Room - Acceleration: CPU-only Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 0.7151 1.4302 2.1453 2.8604 3.5755 SE +/- 0.011, N = 8 SE +/- 0.006, N = 9 SE +/- 0.005, N = 9 SE +/- 0.007, N = 9 SE +/- 0.008, N = 9 SE +/- 0.005, N = 9 3.178 2.790 2.502 2.494 2.347 2.332
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 8.0 Test: Update Random Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 200K 400K 600K 800K 1000K SE +/- 2736.72, N = 3 SE +/- 616.11, N = 3 SE +/- 988.06, N = 3 SE +/- 2015.96, N = 3 SE +/- 2456.99, N = 3 SE +/- 4634.57, N = 3 727188 809930 837216 844521 958852 989730 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 70 140 210 280 350 SE +/- 2.82, N = 3 SE +/- 1.65, N = 3 SE +/- 2.09, N = 3 SE +/- 1.26, N = 3 SE +/- 3.38, N = 4 SE +/- 1.34, N = 3 230.06 251.53 275.51 281.89 301.88 312.03 MIN: 8.13 / MAX: 10000 MIN: 11.12 / MAX: 10000 MIN: 15.29 / MAX: 12000 MIN: 16.21 / MAX: 10000 MIN: 14.88 / MAX: 10000 MIN: 16.36 / MAX: 10000
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 5 7600X 600 1200 1800 2400 3000 SE +/- 6.69, N = 3 SE +/- 3.18, N = 3 SE +/- 1.00, N = 3 SE +/- 12.98, N = 3 SE +/- 3.61, N = 3 SE +/- 4.33, N = 3 2866 2814 2799 2192 2128 2125 1. firefox 111.0.1
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.05, N = 15 SE +/- 0.12, N = 4 SE +/- 0.08, N = 12 SE +/- 0.47, N = 15 SE +/- 0.54, N = 7 SE +/- 0.21, N = 3 104.50 93.64 92.91 83.99 82.76 77.83 MIN: 103.57 / MAX: 122.52 MIN: 89.62 / MAX: 106.59 MIN: 91.95 / MAX: 100.2 MIN: 80.13 / MAX: 96.76 MIN: 80.59 / MAX: 95.97 MIN: 77.15 / MAX: 95.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 2 4 6 8 10 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 SE +/- 0.01, N = 3 7.18 6.04 5.98 5.52 5.48 5.36 MIN: 3.73 / MAX: 14.62 MIN: 3.19 / MAX: 18.63 MIN: 3.08 / MAX: 18.15 MIN: 2.89 / MAX: 13.03 MIN: 2.77 / MAX: 12.72 MIN: 2.76 / MAX: 11.96 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 150 300 450 600 750 SE +/- 1.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.40, N = 3 SE +/- 0.26, N = 3 SE +/- 0.33, N = 3 707.51 593.74 590.69 551.98 543.31 529.80 MIN: 362.92 / MAX: 733.73 MIN: 576.33 / MAX: 610.99 MIN: 302.36 / MAX: 616.81 MIN: 286.07 / MAX: 578.24 MIN: 272.82 / MAX: 567.91 MIN: 298.06 / MAX: 545.08 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 300 600 900 1200 1500 SE +/- 2.11, N = 3 SE +/- 3.90, N = 3 SE +/- 2.02, N = 3 SE +/- 1.27, N = 3 SE +/- 3.00, N = 3 SE +/- 2.87, N = 3 1281.59 1082.51 1058.96 1039.19 992.01 960.70 MIN: 1072.55 / MAX: 1386.43 MIN: 942.47 / MAX: 1278.39 MIN: 943.8 / MAX: 1194.07 MIN: 603.68 / MAX: 1231.9 MIN: 593.33 / MAX: 1135.95 MIN: 853.94 / MAX: 1054.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.27, N = 3 SE +/- 0.10, N = 7 SE +/- 0.10, N = 15 SE +/- 0.27, N = 4 SE +/- 0.10, N = 15 SE +/- 0.10, N = 12 12.46 11.91 11.90 11.66 9.59 9.35 MIN: 11.85 / MAX: 54.46 MIN: 11.32 / MAX: 29.07 MIN: 11.04 / MAX: 71.93 MIN: 10.93 / MAX: 12.45 MIN: 8.75 / MAX: 17 MIN: 8.66 / MAX: 16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 4K Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 8.74 9.84 9.99 10.82 10.88 11.61 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
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 2022.3 Model: Person Detection FP32 - Device: CPU Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 300 600 900 1200 1500 SE +/- 5.72, N = 3 SE +/- 5.33, N = 3 SE +/- 3.83, N = 3 SE +/- 1.96, N = 3 SE +/- 9.17, N = 3 SE +/- 5.33, N = 3 1272.19 1086.14 1079.72 1054.73 1004.91 957.75 MIN: 756.21 / MAX: 1386.95 MIN: 882.23 / MAX: 1289.62 MIN: 573.65 / MAX: 1225.15 MIN: 584.15 / MAX: 1252.03 MIN: 641.97 / MAX: 1152.07 MIN: 577.87 / MAX: 1051.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D 60 120 180 240 300 SE +/- 1.01, N = 3 SE +/- 1.75, N = 3 SE +/- 2.36, N = 3 SE +/- 0.86, N = 3 SE +/- 2.81, N = 4 SE +/- 1.96, N = 3 215.22 229.19 247.72 255.89 268.00 284.21 MIN: 8.16 / MAX: 8571.43 MIN: 10.92 / MAX: 10000 MIN: 12.58 / MAX: 8571.43 MIN: 15.79 / MAX: 8571.43 MIN: 14.53 / MAX: 10000 MIN: 13.26 / MAX: 8571.43
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.08, N = 15 SE +/- 0.04, N = 3 SE +/- 0.10, N = 4 SE +/- 0.08, N = 7 SE +/- 0.06, N = 15 SE +/- 0.09, N = 12 9.27 9.23 9.10 8.43 7.28 7.02 MIN: 8.73 / MAX: 47.39 MIN: 9 / MAX: 53.87 MIN: 8.79 / MAX: 37.18 MIN: 8.01 / MAX: 14.61 MIN: 6.76 / MAX: 13.64 MIN: 6.46 / MAX: 13.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Google Chrome Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7950X 700 1400 2100 2800 3500 SE +/- 6.89, N = 3 SE +/- 7.88, N = 3 SE +/- 13.54, N = 3 SE +/- 4.36, N = 3 SE +/- 7.54, N = 3 SE +/- 1.15, N = 3 3175 3159 3138 3121 2425 2412 1. chrome 111.0.5563.110
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 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X 14 28 42 56 70 SE +/- 0.86, N = 3 SE +/- 0.16, N = 3 SE +/- 0.58, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.37, N = 3 63.12 58.72 58.42 56.24 53.99 48.29 MIN: 42.47 / MAX: 73.34 MIN: 29.06 / MAX: 69.83 MIN: 29.2 / MAX: 68.61 MIN: 46.11 / MAX: 67.65 MIN: 27.76 / MAX: 63.22 MIN: 27.04 / MAX: 61.6 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 2.10.34 Test: unsharp-mask Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X 3 6 9 12 15 SE +/- 0.04, N = 4 SE +/- 0.04, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.07, N = 5 SE +/- 0.00, N = 5 13.16 12.94 12.44 12.41 10.23 10.14
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 15 SE +/- 0.04, N = 3 17.25 19.33 19.78 21.32 21.82 22.37 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 Backend: OpenMP - Kernel: Points2Image Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X 9K 18K 27K 36K 45K SE +/- 154.29, N = 3 SE +/- 316.23, N = 3 SE +/- 295.31, N = 3 SE +/- 167.57, N = 3 SE +/- 314.26, N = 3 SE +/- 591.48, N = 3 33484.37 34161.85 35141.54 35526.67 41450.65 43360.59 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
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 Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 15 SE +/- 0.14, N = 5 SE +/- 0.13, N = 15 SE +/- 0.09, N = 3 11.6 11.7 12.8 12.9 14.4 15.0 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 1.2308 2.4616 3.6924 4.9232 6.154 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 +/- 0.03, N = 3 5.47 4.78 4.68 4.30 4.29 4.24 MIN: 3.44 / MAX: 15.09 MIN: 3.46 / MAX: 16.59 MIN: 2.86 / MAX: 14.55 MIN: 2.7 / MAX: 12.77 MIN: 2.71 / MAX: 11.96 MIN: 2.52 / MAX: 12.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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: 200 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7900X 50K 100K 150K 200K 250K SE +/- 8.76, N = 3 SE +/- 1030.94, N = 3 SE +/- 778.22, N = 3 SE +/- 390.67, N = 3 SE +/- 434.31, N = 3 164764.69 202785.74 204101.12 204878.18 211000.52 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X Ryzen 5 7600X 11 22 33 44 55 SE +/- 0.13, N = 4 SE +/- 0.05, N = 4 SE +/- 0.26, N = 4 SE +/- 0.16, N = 4 SE +/- 0.16, N = 4 SE +/- 0.13, N = 4 39.10 40.13 43.64 43.76 49.75 49.97 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
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: 100 Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 7 7700X 40K 80K 120K 160K 200K SE +/- 526.72, N = 3 SE +/- 51.74, N = 3 SE +/- 596.08, N = 3 SE +/- 1107.24, N = 3 SE +/- 110.57, N = 3 156497.14 157972.36 164236.15 185877.55 198848.67 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
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 Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 1000 2000 3000 4000 5000 SE +/- 6.18, N = 7 SE +/- 7.77, N = 7 SE +/- 3.24, N = 7 SE +/- 4.69, N = 7 SE +/- 5.87, N = 8 SE +/- 4.07, N = 8 4576 4514 4488 4400 3647 3614 1. (CXX) g++ options: -O3
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Summer Nature 1080p Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7950X 300 600 900 1200 1500 SE +/- 3.14, N = 9 SE +/- 0.87, N = 10 SE +/- 2.36, N = 10 SE +/- 1.20, N = 10 SE +/- 1.92, N = 10 SE +/- 2.93, N = 10 1199.85 1269.55 1382.59 1409.20 1440.05 1509.37 1. (CC) gcc options: -pthread
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 400 800 1200 1600 2000 SE +/- 7.31, N = 3 SE +/- 2.33, N = 3 SE +/- 6.12, N = 3 SE +/- 14.31, N = 3 SE +/- 6.66, N = 3 SE +/- 20.63, N = 3 1484 1539 1744 1768 1772 1857 1. (CXX) g++ options: -flto -pthread
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 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7900X3D 40 80 120 160 200 SE +/- 1.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.70, N = 3 SE +/- 2.15, N = 3 SE +/- 3.40, N = 12 151.11 153.11 167.14 174.83 186.00 188.84 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7900X3D 2 4 6 8 10 SE +/- 0.04432, N = 3 SE +/- 0.00406, N = 3 SE +/- 0.00222, N = 3 SE +/- 0.02308, N = 3 SE +/- 0.06270, N = 3 SE +/- 0.10435, N = 12 6.61630 6.52910 5.98098 5.71839 5.37583 5.31417 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Graph API Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 30K 60K 90K 120K 150K SE +/- 856.06, N = 3 SE +/- 1219.53, N = 3 SE +/- 464.42, N = 3 SE +/- 1720.08, N = 3 SE +/- 517.47, N = 3 SE +/- 721.51, N = 3 139284 138839 123605 122065 113600 111773 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7950X3D 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 15 SE +/- 0.34, N = 15 20.4 20.5 23.4 23.5 25.2 25.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.17, N = 15 SE +/- 0.31, N = 4 SE +/- 0.03, N = 7 SE +/- 0.15, N = 15 SE +/- 0.17, N = 12 15.19 14.83 14.67 14.03 12.81 12.27 MIN: 13.93 / MAX: 77.91 MIN: 13.58 / MAX: 70.75 MIN: 14.02 / MAX: 22 MIN: 13.69 / MAX: 20.11 MIN: 11.56 / MAX: 20.25 MIN: 11.1 / MAX: 20.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet Ryzen 9 7950X Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X3D 1.1295 2.259 3.3885 4.518 5.6475 SE +/- 0.15, N = 3 SE +/- 0.07, N = 7 SE +/- 0.03, N = 15 SE +/- 0.06, N = 15 SE +/- 0.06, N = 12 SE +/- 0.09, N = 4 5.02 4.73 4.40 4.37 4.27 4.07 MIN: 4.59 / MAX: 13.02 MIN: 4.46 / MAX: 10.76 MIN: 4.18 / MAX: 10.81 MIN: 4.03 / MAX: 11.7 MIN: 3.85 / MAX: 14.57 MIN: 3.93 / MAX: 9.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.08, N = 7 SE +/- 0.09, N = 15 SE +/- 0.11, N = 15 SE +/- 0.03, N = 4 SE +/- 0.08, N = 12 7.40 7.08 6.81 6.72 6.41 6.03 MIN: 7.09 / MAX: 46.96 MIN: 6.81 / MAX: 42.71 MIN: 6.41 / MAX: 35.28 MIN: 5.86 / MAX: 14.93 MIN: 6.29 / MAX: 8.71 MIN: 5.54 / MAX: 11.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 6.0 Encoder: libx265 - Scenario: Upload Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 31.13 32.68 33.51 34.52 35.97 37.51 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 81.11 77.26 75.35 73.15 70.20 67.32 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X 400 800 1200 1600 2000 SE +/- 22.14, N = 3 SE +/- 1.86, N = 3 SE +/- 6.93, N = 3 SE +/- 19.14, N = 3 SE +/- 21.70, N = 3 SE +/- 4.84, N = 3 1596 1685 1885 1894 1895 1909 1. (CXX) g++ options: -flto -pthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.38, N = 3 SE +/- 0.33, N = 4 SE +/- 0.14, N = 7 SE +/- 0.16, N = 15 SE +/- 0.16, N = 15 SE +/- 0.13, N = 12 12.83 12.35 12.32 12.29 11.72 10.74 MIN: 11.77 / MAX: 58.3 MIN: 11.6 / MAX: 19.3 MIN: 11.71 / MAX: 43.73 MIN: 11.39 / MAX: 46.78 MIN: 10.57 / MAX: 19.6 MIN: 9.53 / MAX: 17.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 6.0 Encoder: libx265 - Scenario: Platform Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 64.69 67.31 69.04 70.80 73.54 77.15 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 117.10 112.54 109.72 106.99 103.01 98.19 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.31, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 117.00 112.71 109.64 106.58 102.84 98.22 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 64.75 67.21 69.09 71.08 73.66 77.12 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 2.10.34 Test: auto-levels Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.066, N = 4 SE +/- 0.041, N = 5 SE +/- 0.010, N = 5 SE +/- 0.015, N = 5 SE +/- 0.007, N = 5 SE +/- 0.009, N = 5 10.835 10.600 10.059 10.028 9.205 9.098
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 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 0.1575 0.315 0.4725 0.63 0.7875 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 0.70 0.68 0.67 0.61 0.60 0.59 MIN: 0.33 / MAX: 15.32 MIN: 0.37 / MAX: 12.44 MIN: 0.36 / MAX: 7.69 MIN: 0.34 / MAX: 9.56 MIN: 0.33 / MAX: 7.73 MIN: 0.33 / MAX: 9.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Features 2D Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 8K 16K 24K 32K 40K SE +/- 332.34, N = 3 SE +/- 88.66, N = 3 SE +/- 229.68, N = 3 SE +/- 241.97, N = 3 SE +/- 308.26, N = 3 SE +/- 58.62, N = 3 37002 35434 34214 33828 33758 31216 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Chimera 1080p Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X 200 400 600 800 1000 SE +/- 0.15, N = 5 SE +/- 0.58, N = 5 SE +/- 0.84, N = 5 SE +/- 1.78, N = 5 SE +/- 0.87, N = 5 SE +/- 2.08, N = 5 861.74 876.16 913.12 943.85 991.48 1011.83 1. (CC) gcc options: -pthread
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 Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 7.32 7.59 8.21 8.33 8.41 8.44 1. (CXX) g++ options: -O3
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Stitching Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X 30K 60K 90K 120K 150K SE +/- 1677.00, N = 3 SE +/- 352.62, N = 3 SE +/- 363.44, N = 3 SE +/- 223.20, N = 3 SE +/- 1257.43, N = 3 SE +/- 221.94, N = 3 123364 120452 114629 111490 111007 107407 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X 3M 6M 9M 12M 15M SE +/- 163590.17, N = 15 SE +/- 8893.12, N = 4 SE +/- 101052.94, N = 15 SE +/- 12046.55, N = 4 SE +/- 32233.35, N = 4 SE +/- 39367.46, N = 4 13447511 14510338 14566694 14830582 15125659 15431905 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -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 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 0.0878 0.1756 0.2634 0.3512 0.439 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 0.39 0.39 0.35 0.35 0.35 0.34 MIN: 0.23 / MAX: 7.62 MIN: 0.23 / MAX: 11.68 MIN: 0.21 / MAX: 7.58 MIN: 0.21 / MAX: 7.37 MIN: 0.21 / MAX: 7.11 MIN: 0.21 / MAX: 6.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7950X Ryzen 9 7900X Ryzen 7 7700X 2 4 6 8 10 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 6.14 6.11 5.61 5.52 5.46 5.36 MIN: 3.27 / MAX: 20.78 MIN: 3.23 / MAX: 13.47 MIN: 2.83 / MAX: 12.74 MIN: 2.91 / MAX: 16.1 MIN: 2.86 / MAX: 11.9 MIN: 2.84 / MAX: 11.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
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 Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7950X3D 800 1600 2400 3200 4000 SE +/- 11.99, N = 8 SE +/- 6.29, N = 8 SE +/- 5.25, N = 8 SE +/- 2.56, N = 8 SE +/- 10.95, N = 8 SE +/- 6.54, N = 8 3585 3545 3526 3498 3443 3150 1. (CXX) g++ options: -O3
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 80 160 240 320 400 SE +/- 2.32, N = 3 SE +/- 3.25, N = 3 SE +/- 0.60, N = 3 SE +/- 2.58, N = 3 SE +/- 1.03, N = 3 SE +/- 1.24, N = 3 322.63 329.35 346.17 347.40 360.05 366.44 1. chrome 111.0.5563.110
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 Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 28.91 28.49 27.67 27.11 26.16 25.55 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X 40 80 120 160 200 SE +/- 0.54, N = 3 SE +/- 0.80, N = 3 SE +/- 0.80, N = 3 SE +/- 0.26, N = 3 SE +/- 0.74, N = 3 SE +/- 0.39, N = 3 174.70 177.25 182.49 186.28 193.02 197.63 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Core Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 10K 20K 30K 40K 50K SE +/- 129.20, N = 3 SE +/- 664.15, N = 15 SE +/- 93.86, N = 3 SE +/- 517.12, N = 3 SE +/- 126.98, N = 3 SE +/- 167.47, N = 3 46820 43067 42660 41602 41495 41397 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 8.97 9.23 9.80 9.96 10.05 10.13 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 2.10.34 Test: rotate Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.008, N = 5 SE +/- 0.016, N = 5 SE +/- 0.011, N = 5 SE +/- 0.066, N = 5 SE +/- 0.004, N = 5 SE +/- 0.015, N = 5 9.767 9.164 8.921 8.874 8.867 8.727
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 Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 8.85 9.41 9.62 9.75 9.81 9.89 1. (CXX) g++ options: -O3
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 Ryzen 5 7600X Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D 6 12 18 24 30 SE +/- 0.27, N = 15 SE +/- 0.49, N = 3 SE +/- 0.22, N = 15 SE +/- 0.17, N = 12 SE +/- 0.19, N = 7 SE +/- 0.25, N = 4 27.23 25.76 25.12 25.09 24.79 24.41 MIN: 25.47 / MAX: 46.51 MIN: 24 / MAX: 67.23 MIN: 23.5 / MAX: 69.69 MIN: 23.53 / MAX: 32.47 MIN: 23.78 / MAX: 103.04 MIN: 23.76 / MAX: 35.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X 80 160 240 320 400 SE +/- 2.74, N = 3 SE +/- 2.50, N = 3 SE +/- 2.36, N = 3 SE +/- 0.58, N = 4 SE +/- 0.87, N = 4 SE +/- 0.81, N = 3 380.5 378.7 349.9 349.1 346.0 344.6 1. chrome 111.0.5563.110
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 Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X 120 240 360 480 600 SE +/- 5.78, N = 15 SE +/- 2.16, N = 4 SE +/- 2.29, N = 4 SE +/- 1.58, N = 4 SE +/- 0.85, N = 4 SE +/- 1.35, N = 4 556 520 513 513 510 504
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 Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X Ryzen 9 7900X 500 1000 1500 2000 2500 SE +/- 19.59, N = 15 SE +/- 25.42, N = 15 SE +/- 4.49, N = 3 SE +/- 6.76, N = 3 SE +/- 2.34, N = 3 SE +/- 7.38, N = 3 1981.1 2062.8 2108.2 2124.5 2154.7 2175.5 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X 50 100 150 200 250 SE +/- 1.84, N = 3 SE +/- 0.86, N = 3 SE +/- 1.17, N = 3 SE +/- 0.89, N = 3 SE +/- 2.30, N = 3 189.72 198.86 203.57 207.59 208.30 1. firefox 111.0.1 Benchmark: Jetstream 2 - Browser: Firefox
Ryzen 9 7950X: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Chimera 1080p 10-bit Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 200 400 600 800 1000 SE +/- 1.18, N = 5 SE +/- 0.57, N = 5 SE +/- 0.47, N = 5 SE +/- 1.56, N = 5 SE +/- 5.31, N = 5 SE +/- 5.76, N = 5 789.57 800.69 831.74 839.58 865.98 865.98 1. (CC) gcc options: -pthread
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 Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X 0.414 0.828 1.242 1.656 2.07 SE +/- 0.01, N = 13 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 1.68 1.71 1.78 1.83 1.83 1.84 1. (CXX) g++ options: -O3
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 110 220 330 440 550 SE +/- 4.91, N = 15 SE +/- 5.32, N = 15 SE +/- 1.24, N = 3 SE +/- 5.61, N = 4 SE +/- 3.77, N = 3 SE +/- 0.95, N = 3 507.4 502.3 482.8 479.9 467.8 464.0 1. firefox 111.0.1
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 Backend: OpenMP - Kernel: Euclidean Cluster Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X 500 1000 1500 2000 2500 SE +/- 0.86, N = 5 SE +/- 4.87, N = 5 SE +/- 14.88, N = 5 SE +/- 3.57, N = 5 SE +/- 2.58, N = 5 SE +/- 3.08, N = 5 2118.19 2173.13 2207.79 2281.33 2310.29 2315.40 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
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 Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X 2 4 6 8 10 SE +/- 0.04, N = 13 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 5.55 5.87 5.89 5.93 5.96 6.05 1. (CXX) g++ options: -O3
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 Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X 400 800 1200 1600 2000 SE +/- 21.62, N = 15 SE +/- 60.64, N = 3 SE +/- 60.40, N = 3 SE +/- 2.86, N = 15 SE +/- 4.32, N = 5 SE +/- 3.63, N = 3 1860.9 1897.0 1941.4 1953.1 2012.2 2028.1 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Live Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X 4 8 12 16 20 SE +/- 0.12, 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 17.28 16.80 16.20 16.10 16.08 15.87 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Live Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X 70 140 210 280 350 SE +/- 1.96, N = 3 SE +/- 1.05, N = 3 SE +/- 0.53, N = 3 SE +/- 1.14, N = 3 SE +/- 0.65, N = 3 SE +/- 0.55, N = 3 292.31 300.57 311.68 313.66 314.12 318.24 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 Backend: OpenMP - Kernel: NDT Mapping Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 300 600 900 1200 1500 SE +/- 2.10, N = 4 SE +/- 10.82, N = 15 SE +/- 3.30, N = 3 SE +/- 1.27, N = 4 SE +/- 2.72, N = 4 SE +/- 1.53, N = 4 1397.77 1424.88 1462.04 1472.06 1498.88 1510.77 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
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 Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Platform Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.24, N = 3 SE +/- 0.52, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 112.19 110.22 106.77 105.92 104.91 104.25 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Platform Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 16 32 48 64 80 SE +/- 0.15, N = 3 SE +/- 0.32, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 67.52 68.73 70.95 71.52 72.20 72.66 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.24, N = 3 SE +/- 0.38, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 111.70 109.66 107.06 105.99 104.77 104.08 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 16 32 48 64 80 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 67.82 69.08 70.75 71.47 72.30 72.78 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Upload Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 17.60 18.03 18.47 18.57 18.86 18.88 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Upload Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X 30 60 90 120 150 SE +/- 0.49, N = 3 SE +/- 0.33, N = 3 SE +/- 0.18, N = 3 SE +/- 0.63, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 143.46 140.05 136.74 135.99 133.86 133.74 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 7 7700X 5 10 15 20 25 SE +/- 0.31, N = 15 SE +/- 0.10, N = 5 SE +/- 0.06, N = 5 SE +/- 0.23, N = 3 SE +/- 0.02, N = 5 SE +/- 0.04, N = 5 18.9 18.1 18.1 17.9 17.9 17.7 1. firefox 111.0.1
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Firefox Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X Ryzen 5 7600X 70 140 210 280 350 SE +/- 4.00, N = 3 SE +/- 2.89, N = 3 SE +/- 2.10, N = 3 SE +/- 0.39, N = 3 SE +/- 3.72, N = 3 SE +/- 0.81, N = 3 291.5 294.8 304.6 304.8 307.4 311.2 1. firefox 111.0.1
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X 60 120 180 240 300 SE +/- 0.64, N = 4 SE +/- 0.07, N = 3 SE +/- 0.06, N = 4 SE +/- 1.63, N = 4 SE +/- 2.88, N = 4 SE +/- 2.24, N = 4 260.1 249.7 246.0 245.4 245.0 244.7 1. firefox 111.0.1
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X Ryzen 7 7700X 90 180 270 360 450 SE +/- 2.19, N = 3 SE +/- 3.46, N = 3 SE +/- 1.76, N = 3 SE +/- 2.52, N = 3 SE +/- 1.67, N = 3 SE +/- 1.15, N = 3 379 382 395 395 399 402 1. chrome 111.0.5563.110
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7950X 7 14 21 28 35 SE +/- 0.29, N = 15 SE +/- 0.15, N = 13 SE +/- 0.01, N = 13 SE +/- 0.15, N = 13 SE +/- 0.02, N = 13 SE +/- 0.06, N = 13 26.34 27.47 27.53 27.55 27.91 27.92 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X 50 100 150 200 250 SE +/- 2.93, N = 15 SE +/- 0.02, N = 4 SE +/- 2.89, N = 15 SE +/- 0.06, N = 4 SE +/- 0.88, N = 4 SE +/- 0.05, N = 5 230.91 230.42 229.47 226.11 220.88 217.97 1. chrome 111.0.5563.110
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 Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X 300K 600K 900K 1200K 1500K SE +/- 6424.80, N = 4 SE +/- 12214.58, N = 4 SE +/- 9474.53, N = 4 SE +/- 12733.05, N = 5 SE +/- 6959.54, N = 4 SE +/- 3277.14, N = 4 1207500 1216655 1226301 1243445 1257538 1262058
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X 1.2375 2.475 3.7125 4.95 6.1875 SE +/- 0.05, N = 15 SE +/- 0.00, N = 8 SE +/- 0.01, N = 8 SE +/- 0.02, N = 8 SE +/- 0.01, N = 8 SE +/- 0.05, N = 8 5.27 5.39 5.40 5.46 5.48 5.50 1. (CC) gcc options: -fvisibility=hidden -O2 -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 7.3.0 Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X 1.0825 2.165 3.2475 4.33 5.4125 SE +/- 0.012, N = 8 SE +/- 0.018, N = 8 SE +/- 0.033, N = 8 SE +/- 0.006, N = 8 SE +/- 0.005, N = 8 SE +/- 0.010, N = 8 4.811 4.791 4.710 4.677 4.665 4.616
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 7 7700X Ryzen 9 7900X 4 8 12 16 20 SE +/- 0.12, N = 15 SE +/- 0.01, N = 12 SE +/- 0.04, N = 12 SE +/- 0.02, N = 12 SE +/- 0.01, N = 12 SE +/- 0.09, N = 12 16.88 17.09 17.24 17.28 17.38 17.58 1. (CC) gcc options: -fvisibility=hidden -O2 -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: 12 - Decompression Speed Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X Ryzen 9 7950X3D 500 1000 1500 2000 2500 SE +/- 35.99, N = 3 SE +/- 4.35, N = 3 SE +/- 4.29, N = 3 SE +/- 6.06, N = 3 SE +/- 4.81, N = 3 SE +/- 8.69, N = 3 2419.6 2426.5 2451.6 2463.9 2465.4 2488.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7950X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X3D 500 1000 1500 2000 2500 SE +/- 8.46, N = 3 SE +/- 1.54, N = 3 SE +/- 3.94, N = 15 SE +/- 7.19, N = 3 SE +/- 1.55, N = 3 SE +/- 6.71, N = 10 2343.7 2359.7 2369.4 2389.3 2397.8 2404.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed Ryzen 9 7900X3D Ryzen 9 7950X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X 500 1000 1500 2000 2500 SE +/- 1.83, N = 3 SE +/- 14.03, N = 3 SE +/- 6.14, N = 3 SE +/- 13.71, N = 3 SE +/- 10.67, N = 3 SE +/- 9.40, N = 3 2369.8 2392.6 2396.9 2410.0 2413.6 2421.9 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: DNN - Deep Neural Network Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 5 7600X Ryzen 7 7700X 5K 10K 15K 20K 25K SE +/- 523.21, N = 15 SE +/- 417.75, N = 15 SE +/- 790.39, N = 15 SE +/- 416.06, N = 15 SE +/- 150.52, N = 15 SE +/- 180.65, N = 15 24081 23072 21833 19528 12528 12366 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Object Detection Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7900X3D Ryzen 9 7950X 5K 10K 15K 20K 25K SE +/- 251.59, N = 3 SE +/- 300.73, N = 15 SE +/- 426.83, N = 12 SE +/- 582.17, N = 12 SE +/- 448.53, N = 12 SE +/- 433.40, N = 15 23570 22497 20764 20032 19800 19443 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X 5 10 15 20 25 SE +/- 0.42, N = 15 SE +/- 0.35, N = 15 SE +/- 0.29, N = 15 SE +/- 0.02, N = 6 SE +/- 0.12, N = 6 SE +/- 0.02, N = 6 19.13 18.81 17.84 17.54 17.37 17.30 1. chrome 111.0.5563.110
Benchmark: StyleBench - Browser: Google Chrome
Ryzen 5 7600X: The test quit with a non-zero exit status. E: selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_NAME_NOT_RESOLVED
Ryzen 7 7700X: The test quit with a non-zero exit status. E: selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_NAME_NOT_RESOLVED
Ryzen 9 7900X: The test quit with a non-zero exit status. E: selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_NAME_NOT_RESOLVED
Ryzen 9 7900X3D: The test quit with a non-zero exit status. E: selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_NAME_NOT_RESOLVED
Ryzen 9 7950X: The test quit with a non-zero exit status. E: selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_NAME_NOT_RESOLVED
Ryzen 9 7950X3D: The test quit with a non-zero exit status. E: selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_NAME_NOT_RESOLVED
Benchmark: StyleBench - Browser: Firefox
Ryzen 5 7600X: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
Ryzen 7 7700X: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
Ryzen 9 7900X: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
Ryzen 9 7900X3D: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
Ryzen 9 7950X: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
Ryzen 9 7950X3D: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)
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.
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X 4 8 12 16 20 SE +/- 0.59, N = 15 SE +/- 0.52, N = 15 SE +/- 0.47, N = 15 SE +/- 0.05, N = 3 SE +/- 0.60, N = 15 SE +/- 0.03, N = 3 16.84 16.58 16.11 15.85 15.54 15.00 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X 15 30 45 60 75 SE +/- 2.12, N = 15 SE +/- 1.82, N = 15 SE +/- 1.79, N = 15 SE +/- 0.19, N = 3 SE +/- 2.37, N = 15 SE +/- 0.14, N = 3 60.40 61.12 62.79 63.08 65.61 66.67 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 7 7700X 4 8 12 16 20 SE +/- 0.59, N = 15 SE +/- 0.52, N = 15 SE +/- 0.47, N = 15 SE +/- 0.05, N = 3 SE +/- 0.60, N = 15 SE +/- 0.03, N = 3 16.84 16.58 16.11 15.85 15.54 15.00 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.37638, N = 12 SE +/- 0.41714, N = 15 SE +/- 0.32714, N = 15 SE +/- 0.08015, N = 4 SE +/- 0.35240, N = 15 SE +/- 0.00280, N = 3 10.34564 7.52862 7.07961 6.54158 6.46818 4.30723 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7950X 50 100 150 200 250 SE +/- 2.71, N = 12 SE +/- 7.44, N = 15 SE +/- 6.88, N = 15 SE +/- 1.83, N = 4 SE +/- 9.73, N = 15 SE +/- 0.15, N = 3 97.74 138.59 145.66 152.92 161.97 232.15 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7950X3D Ryzen 9 7950X 3 6 9 12 15 SE +/- 0.37638, N = 12 SE +/- 0.41714, N = 15 SE +/- 0.32714, N = 15 SE +/- 0.08015, N = 4 SE +/- 0.35240, N = 15 SE +/- 0.00280, N = 3 10.34564 7.52862 7.07961 6.54158 6.46818 4.30723 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 0.7015 1.403 2.1045 2.806 3.5075 SE +/- 0.04474, N = 15 SE +/- 0.00807, N = 3 SE +/- 0.07174, N = 12 SE +/- 0.04702, N = 15 SE +/- 0.04997, N = 15 SE +/- 0.03598, N = 15 3.11772 2.62505 2.35730 2.24269 2.15659 2.11160 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 100 200 300 400 500 SE +/- 4.29, N = 15 SE +/- 1.17, N = 3 SE +/- 11.89, N = 12 SE +/- 8.88, N = 15 SE +/- 10.64, N = 15 SE +/- 7.87, N = 15 321.55 380.87 428.15 448.40 467.03 475.36 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D 0.7015 1.403 2.1045 2.806 3.5075 SE +/- 0.04474, N = 15 SE +/- 0.00807, N = 3 SE +/- 0.07174, N = 12 SE +/- 0.04702, N = 15 SE +/- 0.04997, N = 15 SE +/- 0.03598, N = 15 3.11772 2.62505 2.35730 2.24269 2.15659 2.11160 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D 8 16 24 32 40 SE +/- 2.57, N = 15 SE +/- 0.30, N = 3 SE +/- 1.83, N = 15 SE +/- 0.09, N = 3 SE +/- 1.07, N = 15 SE +/- 0.90, N = 15 36.72 35.63 32.39 26.48 25.91 24.95 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D 9 18 27 36 45 SE +/- 0.24, N = 3 SE +/- 1.68, N = 15 SE +/- 2.09, N = 15 SE +/- 0.12, N = 3 SE +/- 1.57, N = 15 SE +/- 1.45, N = 15 28.07 28.87 32.52 37.76 39.51 40.81 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X Ryzen 9 7900X Ryzen 9 7950X3D 8 16 24 32 40 SE +/- 2.57, N = 15 SE +/- 0.30, N = 3 SE +/- 1.83, N = 15 SE +/- 0.09, N = 3 SE +/- 1.07, N = 15 SE +/- 0.90, N = 15 36.72 35.63 32.39 26.48 25.91 24.95 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 150 300 450 600 750 SE +/- 53.52, N = 13 SE +/- 30.37, N = 15 SE +/- 0.38, N = 3 SE +/- 13.38, N = 13 SE +/- 0.41, N = 3 SE +/- 0.15, N = 3 678.05 463.80 460.09 368.22 275.94 273.95 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 0.8213 1.6426 2.4639 3.2852 4.1065 SE +/- 0.080293, N = 13 SE +/- 0.001812, N = 3 SE +/- 0.149914, N = 15 SE +/- 0.073837, N = 13 SE +/- 0.005330, N = 3 SE +/- 0.002007, N = 3 1.550878 2.173500 2.292880 2.747880 3.624020 3.650330 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X3D Ryzen 9 7950X 150 300 450 600 750 SE +/- 53.52, N = 13 SE +/- 30.37, N = 15 SE +/- 0.38, N = 3 SE +/- 13.38, N = 13 SE +/- 0.41, N = 3 SE +/- 0.15, N = 3 678.05 463.80 460.09 368.22 275.94 273.95 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.2936 0.5872 0.8808 1.1744 1.468 SE +/- 0.005373, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.005381, N = 3 SE +/- 0.028899, N = 15 SE +/- 0.033176, N = 15 SE +/- 0.023858, N = 15 1.304790 1.228200 1.116520 0.975082 0.918202 0.856873 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 300 600 900 1200 1500 SE +/- 3.13, N = 3 SE +/- 1.22, N = 3 SE +/- 4.31, N = 3 SE +/- 31.13, N = 15 SE +/- 40.93, N = 15 SE +/- 30.58, N = 15 766.18 813.89 895.20 1038.03 1109.31 1178.41 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 9 7950X 0.2936 0.5872 0.8808 1.1744 1.468 SE +/- 0.005373, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.005381, N = 3 SE +/- 0.028899, N = 15 SE +/- 0.033176, N = 15 SE +/- 0.023858, N = 15 1.304790 1.228200 1.116520 0.975082 0.918202 0.856873 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X 16 32 48 64 80 SE +/- 6.36, N = 15 SE +/- 3.08, N = 15 SE +/- 1.95, N = 15 SE +/- 4.71, N = 15 SE +/- 2.52, N = 15 SE +/- 2.08, N = 15 73.57 63.58 62.58 58.32 57.85 52.62 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7950X3D Ryzen 9 7900X Ryzen 9 7900X3D Ryzen 7 7700X Ryzen 9 7950X 5 10 15 20 25 SE +/- 0.98, N = 15 SE +/- 0.56, N = 15 SE +/- 0.82, N = 15 SE +/- 0.58, N = 15 SE +/- 1.24, N = 15 SE +/- 0.71, N = 15 14.77 16.23 16.28 17.64 18.54 19.40 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X3D Ryzen 7 7700X Ryzen 9 7900X3D Ryzen 9 7950X 16 32 48 64 80 SE +/- 6.36, N = 15 SE +/- 3.08, N = 15 SE +/- 1.95, N = 15 SE +/- 4.71, N = 15 SE +/- 2.52, N = 15 SE +/- 2.08, N = 15 73.57 63.58 62.58 58.32 57.85 52.62 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 7 7700X 20 40 60 80 100 SE +/- 7.82, N = 15 SE +/- 4.94, N = 15 SE +/- 3.47, N = 15 SE +/- 3.14, N = 15 SE +/- 0.12, N = 3 SE +/- 0.97, N = 3 109.41 107.43 93.03 88.24 82.12 70.21 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard Ryzen 9 7900X3D Ryzen 5 7600X Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 7 7700X 4 8 12 16 20 SE +/- 0.46030, N = 15 SE +/- 0.58506, N = 15 SE +/- 0.36208, N = 15 SE +/- 0.36386, N = 15 SE +/- 0.01808, N = 3 SE +/- 0.19437, N = 3 9.60420 9.72557 10.93777 11.51373 12.17750 14.24800 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard Ryzen 5 7600X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 9 7950X Ryzen 9 7950X3D Ryzen 7 7700X 20 40 60 80 100 SE +/- 7.82, N = 15 SE +/- 4.94, N = 15 SE +/- 3.47, N = 15 SE +/- 3.14, N = 15 SE +/- 0.12, N = 3 SE +/- 0.97, N = 3 109.41 107.43 93.03 88.24 82.12 70.21 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 7900X3D Ryzen 9 7900X Ryzen 7 7700X Ryzen 5 7600X 1.035 2.07 3.105 4.14 5.175 SE +/- 0.12, N = 15 SE +/- 0.30, N = 3 SE +/- 0.03, N = 4 SE +/- 0.03, N = 7 SE +/- 0.04, N = 12 SE +/- 0.03, N = 13 4.60 4.46 4.37 4.12 1.87 1.78 MIN: 3.38 / MAX: 5.99 MIN: 3.87 / MAX: 7.19 MIN: 4.24 / MAX: 4.67 MIN: 3.92 / MAX: 4.44 MIN: 1.67 / MAX: 2.3 MIN: 1.61 / MAX: 2.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Apache Spark This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.
Row Count: 1000000 - Partitions: 100
Ryzen 5 7600X: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
Ryzen 7 7700X: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
Ryzen 9 7900X: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
Ryzen 9 7900X3D: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
Ryzen 9 7950X: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
Ryzen 9 7950X3D: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
Ryzen 5 7600X Processor: AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Notes: Python 3.11.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 March 2023 13:34 by user pts.
Ryzen 7 7700X Processor: AMD Ryzen 7 7700X 8-Core @ 4.50GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Notes: Python 3.11.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 26 March 2023 15:38 by user pts.
Ryzen 9 7900X Processor: AMD Ryzen 9 7900X 12-Core @ 4.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Notes: Python 3.11.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 March 2023 15:11 by user pts.
Ryzen 9 7900X3D Processor: AMD Ryzen 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Notes: Python 3.11.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 March 2023 15:10 by user pts.
Ryzen 9 7950X Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Notes: Python 3.11.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 March 2023 17:05 by user pts.
Ryzen 9 7950X3D Processor: AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Notes: Python 3.11.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 March 2023 19:12 by user pts.