Intel Core i5 11600K Core i9 11900K Linux benchmarks for a future article.
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40K 80K 120K 160K 200K SE +/- 100.19, N = 3 SE +/- 0.36, N = 3 SE +/- 0.42, N = 3 SE +/- 2.95, N = 3 SE +/- 3.86, N = 3 SE +/- 23.24, N = 3 SE +/- 192.40, N = 3 SE +/- 16.60, N = 3 62396.69 44991.70 52120.99 92705.35 91456.46 134617.36 172697.40 69838.78 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -lpthread -lc Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Vector Math Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 150 300 450 600 750 301.13 329.51 662.86 715.78
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.2005 2.401 3.6015 4.802 6.0025 SE +/- 0.00593, N = 9 SE +/- 0.00236, N = 9 SE +/- 0.00429, N = 9 SE +/- 0.00718, N = 9 SE +/- 0.00821, N = 3 SE +/- 0.00026, N = 3 SE +/- 0.00432, N = 3 SE +/- 0.00205, N = 3 1.44086 1.66790 5.33551 3.79015 2.42915 2.00087 1.59128 4.01035 MIN: 1.35 MIN: 1.62 MIN: 5.3 MIN: 3.72 MIN: 2.37 MIN: 1.87 MIN: 1.44 MIN: 3.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
m-queens A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 68.61 93.35 108.06 60.09 57.80 39.20 30.78 76.15 1. (CXX) g++ options: -fopenmp -O2 -march=native
LULESH LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1100 2200 3300 4400 5500 SE +/- 6.47, N = 5 SE +/- 3.24, N = 7 SE +/- 0.85, N = 8 SE +/- 1.33, N = 5 SE +/- 7.10, N = 3 SE +/- 10.86, N = 3 SE +/- 14.29, N = 3 SE +/- 2.20, N = 3 5101.59 1738.05 1557.07 4776.76 4615.68 5245.40 5139.85 1636.73 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi z/s Per Watt
OpenBenchmarking.org z/s Per Watt, More Is Better LULESH 2.0.3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 20 40 60 80 100 72.00 76.83 85.29 72.39
N-Queens This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.000, N = 4 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.000, N = 5 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 13.033 17.818 18.834 10.389 10.484 7.117 5.594 13.884 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1000 2000 3000 4000 5000 SE +/- 1.19, N = 3 SE +/- 1.99, N = 3 SE +/- 1.99, N = 3 SE +/- 0.89, N = 3 SE +/- 6.94, N = 3 SE +/- 4.58, N = 3 SE +/- 2.25, N = 3 SE +/- 3.68, N = 3 2218.21 1625.14 1476.71 2621.13 2605.56 3820.72 4835.48 1975.15 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -lpthread -lc Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Crypto Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 4 8 12 16 20 15.21 15.44 17.33 17.82
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.6013 1.2026 1.8039 2.4052 3.0065 SE +/- 0.002805, N = 3 SE +/- 0.001048, N = 3 SE +/- 0.001426, N = 3 SE +/- 0.003237, N = 3 SE +/- 0.003619, N = 3 SE +/- 0.001016, N = 3 SE +/- 0.002972, N = 3 SE +/- 0.003695, N = 3 0.820349 1.125800 2.672550 1.526770 1.758210 1.289660 1.041240 2.461550 MIN: 0.8 MIN: 1.11 MIN: 2.66 MIN: 1.51 MIN: 1.71 MIN: 1.2 MIN: 0.95 MIN: 2.28 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 800K 1600K 2400K 3200K 4000K SE +/- 173.72, N = 3 SE +/- 916.05, N = 3 SE +/- 570.07, N = 3 SE +/- 310.13, N = 3 SE +/- 2437.15, N = 3 SE +/- 239.19, N = 3 SE +/- 624.00, N = 3 SE +/- 921.31, N = 3 2119213 3003547 3947897 2183657 2216913 1612987 1220627 3034803
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40K 80K 120K 160K 200K SE +/- 34.82, N = 3 SE +/- 50.21, N = 3 SE +/- 79.17, N = 3 SE +/- 132.02, N = 3 SE +/- 97.70, N = 3 SE +/- 34.55, N = 3 SE +/- 35.82, N = 3 SE +/- 35.50, N = 3 110217.0 154384.0 202560.0 116583.0 113607.0 84351.3 62932.3 155375.0
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 900K 1800K 2700K 3600K 4500K SE +/- 381.68, N = 3 SE +/- 1702.33, N = 3 SE +/- 1872.69, N = 3 SE +/- 253.92, N = 3 SE +/- 2098.10, N = 3 SE +/- 583.82, N = 3 SE +/- 649.33, N = 3 SE +/- 661.22, N = 3 2343677 3307307 4361623 2421463 2452413 1795887 1355470 3371477
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60K 120K 180K 240K 300K SE +/- 15.62, N = 3 SE +/- 24.26, N = 3 SE +/- 13.89, N = 3 SE +/- 477.18, N = 3 SE +/- 500.89, N = 3 SE +/- 155.25, N = 3 SE +/- 277.83, N = 3 SE +/- 379.33, N = 3 163166.0 225958.0 296324.0 170473.0 169036.0 123917.0 94785.2 227885.0
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.9371 1.8742 2.8113 3.7484 4.6855 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 2.052 1.506 1.342 2.394 2.325 3.370 4.165 1.705 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 67.13 91.44 95.28 53.58 56.99 39.04 31.00 75.89 1. (CC) gcc options: -lm -lpthread -O3
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40K 80K 120K 160K 200K SE +/- 6.23, N = 3 SE +/- 36.47, N = 3 SE +/- 72.85, N = 3 SE +/- 32.82, N = 3 SE +/- 99.91, N = 3 SE +/- 74.65, N = 3 SE +/- 42.76, N = 3 SE +/- 964.08, N = 15 112430.0 158356.0 205371.0 119603.0 124868.0 92042.9 68369.6 170144.0
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8K 16K 24K 32K 40K SE +/- 108.37, N = 3 SE +/- 1.53, N = 3 SE +/- 2.31, N = 3 SE +/- 20.34, N = 3 SE +/- 57.13, N = 3 SE +/- 69.38, N = 3 SE +/- 72.81, N = 3 SE +/- 29.63, N = 3 20883 15167 12783 22741 20686 30393 38367 15636 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2 Real C/S Per Watt
OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 30 60 90 120 150 101.43 108.54 148.43 151.36
OpenFOAM OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 30M Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.28, N = 3 SE +/- 0.36, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 226.97 258.53 285.74 241.32 177.28 96.55 98.61 185.50 -lfoamToVTK -llagrangian -lfileFormats -lfoamToVTK -llagrangian -lfileFormats -lfiniteVolume -lscotchDecomp -lptscotchDecomp -lmeshTools -lfiniteVolume -lscotchDecomp -lptscotchDecomp -lmeshTools -lfiniteVolume -lscotchDecomp -lptscotchDecomp -lmeshTools -lfiniteVolume -lscotchDecomp -lptscotchDecomp -lmeshTools 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 500K 1000K 1500K 2000K 2500K SE +/- 14858.59, N = 3 SE +/- 3511.88, N = 3 SE +/- 86.67, N = 3 SE +/- 1201.85, N = 3 SE +/- 3929.94, N = 3 SE +/- 4371.63, N = 3 SE +/- 2403.70, N = 3 SE +/- 869.20, N = 3 2073333 1558000 750086 1329333 1250667 1797333 2205333 920153 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2 Real C/S Per Watt
OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 2K 4K 6K 8K 10K 8743.65 8011.79 6855.28 7087.37
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 16K 32K 48K 64K 80K SE +/- 9.29, N = 3 SE +/- 4.87, N = 3 SE +/- 3.46, N = 3 SE +/- 11.39, N = 3 SE +/- 112.70, N = 3 SE +/- 140.98, N = 3 SE +/- 138.67, N = 3 SE +/- 28.74, N = 3 36381.72 26702.08 25739.36 45816.61 43380.45 61096.18 74781.47 30988.93 -lsqlite3 -lsqlite3 -lsqlite3 -lsqlite3 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread k/s Per Watt
OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.5.2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 60 120 180 240 300 205.59 209.52 248.51 262.51
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.0436, N = 3 SE +/- 0.0251, N = 3 SE +/- 0.1005, N = 3 SE +/- 0.0393, N = 3 SE +/- 0.1073, N = 10 SE +/- 0.0336, N = 3 SE +/- 0.0494, N = 3 SE +/- 0.0100, N = 3 12.5657 9.2910 8.3703 15.2830 13.6232 19.7129 24.1989 10.2292 MIN: 12.37 / MAX: 12.95 MIN: 9.19 / MAX: 9.5 MIN: 8.02 / MAX: 8.69 MIN: 15.11 / MAX: 15.65 MIN: 12.89 / MAX: 14.19 MIN: 19.5 / MAX: 20.09 MIN: 23.9 / MAX: 24.97 MIN: 10.15 / MAX: 10.4 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0203 0.0406 0.0609 0.0812 0.1015 0.08 0.07 0.08 0.09
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 9.30 6.83 5.70 9.93 9.59 13.57 16.46 6.94 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0113 0.0226 0.0339 0.0452 0.0565 0.04 0.05 0.05 0.05
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 9M 18M 27M 36M 45M SE +/- 145646.55, N = 3 SE +/- 43338.06, N = 3 SE +/- 92739.04, N = 3 SE +/- 114116.02, N = 3 SE +/- 270927.66, N = 4 SE +/- 132917.54, N = 3 SE +/- 355034.71, N = 9 SE +/- 203350.29, N = 3 22457324 16646621 15158379 26683449 24821954 35577493 43700654 18301552 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Stockfish 12 Total Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 30K 60K 90K 120K 150K 135161.56 136770.59 143857.05 153829.64
YafaRay YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.47, N = 3 SE +/- 0.16, N = 3 SE +/- 0.41, N = 3 SE +/- 0.20, N = 3 SE +/- 0.43, N = 3 SE +/- 0.40, N = 3 SE +/- 0.08, N = 3 SE +/- 0.51, N = 3 121.16 164.69 193.14 109.84 114.70 81.90 67.12 154.60 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 70 140 210 280 350 SE +/- 1.11, N = 3 SE +/- 4.09, N = 3 SE +/- 0.24, N = 3 SE +/- 1.37, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 209.26 285.70 309.68 177.26 182.95 129.36 107.64 249.35 1. (CXX) g++ options: -O2 -lOpenCL
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.004, N = 5 SE +/- 0.008, N = 4 SE +/- 0.066, N = 4 SE +/- 0.001, N = 6 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 8.887 12.066 13.980 7.954 8.893 6.165 4.890 11.903 1. (CXX) g++ options: -fopenmp -O3
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.4506 0.9012 1.3518 1.8024 2.253 SE +/- 0.001966, N = 4 SE +/- 0.001491, N = 4 SE +/- 0.001054, N = 4 SE +/- 0.000743, N = 4 SE +/- 0.003789, N = 3 SE +/- 0.001817, N = 3 SE +/- 0.001395, N = 3 SE +/- 0.000522, N = 3 0.706045 0.976903 2.002800 1.195310 1.365690 1.063650 0.829528 1.895270 MIN: 0.65 MIN: 0.9 MIN: 1.98 MIN: 1.17 MIN: 1.34 MIN: 1 MIN: 0.76 MIN: 1.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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.
Result
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5 Mode: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5K 10K 15K 20K 25K SE +/- 23.36, N = 3 SE +/- 14.50, N = 3 SE +/- 10.99, N = 3 SE +/- 41.10, N = 3 SE +/- 113.66, N = 3 SE +/- 197.80, N = 3 SE +/- 232.79, N = 3 SE +/- 64.25, N = 3 12336 8949 7655 13469 12147 17213 21616 8957 vsamples Per Watt
OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5 Mode: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 20 40 60 80 100 79.65 78.65 82.92 86.46
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.7988 1.5976 2.3964 3.1952 3.994 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.97 1.46 1.26 2.19 2.05 2.87 3.55 1.53 MIN: 1.92 / MAX: 2.04 MIN: 1.4 / MAX: 1.5 MIN: 1.22 / MAX: 1.29 MIN: 2.13 / MAX: 2.27 MIN: 1.97 / MAX: 2.12 MIN: 2.74 / MAX: 3 MIN: 3.42 / MAX: 3.71 MIN: 1.48 / MAX: 1.56 M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.3 Scene: DLSC Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.41 4.81 4.11 6.80 6.83 9.16 11.55 5.10 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.009 0.018 0.027 0.036 0.045 0.03 0.03 0.03 0.04
Basis Universal Basis Universal is a GPU texture codec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 51.54 68.28 78.92 46.68 47.61 33.86 28.15 61.30 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 21.21 27.66 29.24 17.73 17.29 12.84 10.58 21.47 1. (CXX) g++ options: -O2 -lOpenCL
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.022, N = 3 SE +/- 0.011, N = 3 SE +/- 0.008, N = 3 4.730 3.500 3.140 5.592 4.803 6.943 8.669 3.565 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0068 0.0136 0.0204 0.0272 0.034 0.03 0.03 0.03 0.03
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.29, N = 7 SE +/- 0.32, N = 6 SE +/- 0.29, N = 6 SE +/- 0.59, N = 8 SE +/- 1.00, N = 3 SE +/- 1.27, N = 3 SE +/- 1.54, N = 3 SE +/- 0.47, N = 3 120.21 91.22 75.76 128.62 121.05 172.71 206.57 93.53 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x264 2019-12-17 H.264 Video Encoding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.3285 0.657 0.9855 1.314 1.6425 0.88 0.86 1.18 1.46
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.8528 1.7056 2.5584 3.4112 4.264 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 2.15 1.58 1.39 2.46 2.17 3.08 3.79 1.61 MIN: 2.08 / MAX: 2.17 MIN: 1.55 / MAX: 1.59 MIN: 1.37 / MAX: 1.41 MIN: 2.37 / MAX: 2.51 MIN: 2.12 / MAX: 2.24 MIN: 3.01 / MAX: 3.13 MIN: 3.76 / MAX: 3.84 MIN: 1.59 / MAX: 1.65 M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.7786 1.5572 2.3358 3.1144 3.893 SE +/- 0.00173, N = 4 SE +/- 0.00155, N = 4 SE +/- 0.00270, N = 4 SE +/- 0.00073, N = 4 SE +/- 0.00247, N = 3 SE +/- 0.00182, N = 3 SE +/- 0.00192, N = 3 SE +/- 0.00190, N = 3 1.26963 1.54364 3.46055 1.95104 2.39783 1.67368 1.36742 3.25444 MIN: 1.22 MIN: 1.5 MIN: 3.42 MIN: 1.93 MIN: 2.28 MIN: 1.57 MIN: 1.26 MIN: 3.05 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Primesieve Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 7.4 1e12 Prime Number Generation Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 18.06 24.55 30.53 17.51 18.92 13.56 11.21 26.42 1. (CXX) g++ options: -O3 -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 10 20 30 40 50 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 27.94 19.89 17.04 28.52 30.12 36.81 46.07 21.59 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0405 0.081 0.1215 0.162 0.2025 0.16 0.16 0.17 0.18
asmFish This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 13M 26M 39M 52M 65M SE +/- 250418.30, N = 10 SE +/- 148112.33, N = 3 SE +/- 66187.39, N = 3 SE +/- 431094.53, N = 4 SE +/- 297176.73, N = 8 SE +/- 468977.88, N = 12 SE +/- 200093.73, N = 3 SE +/- 298392.04, N = 4 32021035 23221766 22429857 39170627 34840345 49195738 60621075 25884676 Nodes/second Per Watt
OpenBenchmarking.org Nodes/second Per Watt, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 50K 100K 150K 200K 250K 199300.66 195990.56 229214.43 247535.99
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 110 220 330 440 550 329.91 436.89 510.63 303.90 315.72 227.20 191.76 413.27
Tachyon This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.73, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.96, N = 15 SE +/- 0.26, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 75.40 99.59 118.57 71.99 78.23 54.64 44.54 107.29 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
POV-Ray This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 38.34 51.97 61.35 34.86 39.29 27.92 23.18 53.80 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lXpm -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 70 140 210 280 350 182.28 245.93 306.78 177.75 203.78 142.69 117.17 272.00
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.4 Preset: Exhaustive Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 87.81 119.15 140.06 79.57 94.40 65.69 53.98 128.34 1. (CXX) g++ options: -O3 -flto -pthread
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: BMW27 - Compute: CPU-Only Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.42, N = 3 SE +/- 0.36, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 SE +/- 0.23, N = 3 132.80 181.43 206.13 118.28 140.17 97.08 79.70 188.10
Basis Universal Basis Universal is a GPU texture codec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 27.60 35.69 40.90 25.25 25.06 18.64 15.93 31.82 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2M 4M 6M 8M 10M SE +/- 72898.00, N = 3 SE +/- 9116.05, N = 3 SE +/- 6574.53, N = 3 SE +/- 196390.90, N = 13 SE +/- 10751.22, N = 3 SE +/- 30757.71, N = 3 SE +/- 90685.34, N = 5 SE +/- 3213.45, N = 3 5057864.74 3869172.45 3435787.22 4958592.21 4884076.48 6956593.27 8809537.04 3614194.58 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -lpthread -lc Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Context Switching Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 8K 16K 24K 32K 40K 34643.19 36042.03 37150.02 33834.61
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.09, N = 8 SE +/- 0.05, N = 7 SE +/- 0.06, N = 6 SE +/- 0.14, N = 8 SE +/- 0.25, N = 3 SE +/- 0.30, N = 3 SE +/- 0.45, N = 3 SE +/- 0.10, N = 3 136.40 103.32 86.75 142.70 137.84 181.16 221.43 101.50 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.342 0.684 1.026 1.368 1.71 1.27 1.18 1.22 1.52
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 17.70 13.18 11.60 19.39 19.09 25.19 29.52 14.07 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0248 0.0496 0.0744 0.0992 0.124 0.09 0.09 0.10 0.11
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 174.38 237.34 285.63 170.31 179.25 134.43 112.56 238.47
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.4 Preset: Thorough Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.0041, N = 4 SE +/- 0.0021, N = 3 SE +/- 0.0038, N = 3 SE +/- 0.0030, N = 4 SE +/- 0.0377, N = 3 SE +/- 0.0105, N = 3 SE +/- 0.0046, N = 3 SE +/- 0.0190, N = 3 11.6731 15.5727 18.3706 10.7421 12.0263 8.6395 7.2577 16.5139 1. (CXX) g++ options: -O3 -flto -pthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 6, Lossless Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.39, N = 3 51.48 68.78 77.94 47.29 47.85 36.18 30.93 64.02 1. (CXX) g++ options: -O3 -fPIC -lm
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 75, Compression Effort 7 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.17, N = 3 SE +/- 0.16, N = 3 SE +/- 0.40, N = 3 SE +/- 0.75, N = 3 SE +/- 0.27, N = 3 SE +/- 0.53, N = 3 SE +/- 0.35, N = 3 SE +/- 0.19, N = 3 190.90 257.23 293.92 169.83 190.71 137.08 116.83 256.33 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lgif -lwebp -lwebpdemux
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 31.77 23.85 21.07 34.83 34.08 43.87 52.86 24.96 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0495 0.099 0.1485 0.198 0.2475 0.18 0.18 0.20 0.22
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.2353 2.4706 3.7059 4.9412 6.1765 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 3.32 2.44 2.20 3.89 3.12 4.49 5.49 2.28 MIN: 3.27 / MAX: 3.4 MIN: 2.43 / MAX: 2.47 MIN: 2.19 / MAX: 2.22 MIN: 3.85 / MAX: 3.92 MIN: 3.08 / MAX: 3.22 MIN: 4.44 / MAX: 4.55 MIN: 5.41 / MAX: 5.59 MIN: 2.26 / MAX: 2.3 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0045 0.009 0.0135 0.018 0.0225 0.01 0.01 0.02 0.02
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.57 3.36 3.30 5.84 4.64 6.67 8.20 3.41 MIN: 4.46 / MAX: 4.78 MIN: 3.31 / MAX: 3.45 MIN: 3.27 / MAX: 3.36 MIN: 5.75 / MAX: 6.02 MIN: 4.57 / MAX: 4.76 MIN: 6.58 / MAX: 6.8 MIN: 8.06 / MAX: 8.33 MIN: 3.34 / MAX: 3.45 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0068 0.0136 0.0204 0.0272 0.034 0.02 0.02 0.03 0.03
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 400 800 1200 1600 2000 SE +/- 13.06, N = 15 SE +/- 12.66, N = 15 SE +/- 11.04, N = 15 SE +/- 15.88, N = 15 SE +/- 7.68, N = 3 SE +/- 6.01, N = 3 SE +/- 3.28, N = 3 SE +/- 2.95, N = 3 1572.12 1130.87 983.36 1755.97 983.16 1470.96 1877.39 758.19 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0 Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 5 10 15 20 25 18.16 16.76 17.89 22.61
rays1bench This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.03, N = 4 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 4 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 71.73 52.51 45.04 80.43 76.86 104.86 111.23 51.75 mrays/s Per Watt
OpenBenchmarking.org mrays/s Per Watt, More Is Better rays1bench 2020-01-09 Large Scene Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.126 0.252 0.378 0.504 0.63 0.45 0.45 0.47 0.56
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 4 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 13.83 10.43 10.07 17.49 15.12 20.32 24.86 11.69 MIN: 13.66 / MAX: 14.1 MIN: 10.38 / MAX: 10.55 MIN: 9.97 / MAX: 10.27 MIN: 17.27 / MAX: 17.92 MIN: 14.35 / MAX: 15.55 MIN: 20.15 / MAX: 20.61 MIN: 24.68 / MAX: 25.28 MIN: 11.6 / MAX: 11.81 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.027 0.054 0.081 0.108 0.135 0.10 0.09 0.11 0.12
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 600 1200 1800 2400 3000 SE +/- 7.49, N = 4 SE +/- 3.51, N = 4 SE +/- 2.68, N = 4 SE +/- 2.73, N = 5 SE +/- 9.96, N = 3 SE +/- 33.24, N = 15 SE +/- 9.15, N = 3 SE +/- 18.50, N = 4 1237.10 1219.99 1222.78 1392.57 1736.57 3003.23 2707.75 1691.12 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
TTSIOD 3D Renderer A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 6.17, N = 3 SE +/- 0.65, N = 3 SE +/- 0.61, N = 3 SE +/- 0.71, N = 3 SE +/- 0.43, N = 3 SE +/- 1.59, N = 3 SE +/- 2.46, N = 3 SE +/- 0.88, N = 3 554.45 444.78 423.17 718.03 716.56 867.33 1033.25 570.33 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++ FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 2 4 6 8 10 6.87 6.19 5.49 5.74
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.6593 1.3186 1.9779 2.6372 3.2965 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.74 1.29 1.20 2.11 1.65 2.40 2.93 1.22 MIN: 1.71 / MAX: 1.77 MIN: 1.28 / MAX: 1.31 MIN: 1.19 / MAX: 1.21 MIN: 2.05 / MAX: 2.12 MIN: 1.64 / MAX: 1.69 MIN: 2.37 / MAX: 2.42 MIN: 2.9 / MAX: 2.98 MIN: 1.21 / MAX: 1.23 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.03, N = 5 SE +/- 0.04, N = 4 SE +/- 0.04, N = 4 SE +/- 0.04, N = 5 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 65.50 50.63 44.49 67.98 72.78 85.14 108.53 55.00 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.1283 0.2566 0.3849 0.5132 0.6415 0.47 0.46 0.50 0.57
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.00544, N = 9 SE +/- 0.35061, N = 15 SE +/- 0.00270, N = 9 SE +/- 0.00566, N = 9 SE +/- 0.00788, N = 3 SE +/- 0.00284, N = 3 SE +/- 0.00361, N = 3 SE +/- 0.01135, N = 3 4.17051 6.64146 8.45156 4.91455 5.34504 4.25967 3.47006 7.80461 MIN: 4.12 MIN: 6.22 MIN: 8.42 MIN: 4.72 MIN: 5.19 MIN: 4.1 MIN: 3.32 MIN: 7.45 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Timed FFmpeg Compilation This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 45.53 57.86 64.69 41.66 40.73 30.19 26.64 51.52
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.08, N = 5 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 SE +/- 0.07, N = 5 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 37.88 25.74 21.50 38.13 34.10 44.96 52.03 23.34 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0765 0.153 0.2295 0.306 0.3825 0.31 0.28 0.28 0.34
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.13, N = 7 SE +/- 0.10, N = 6 SE +/- 0.13, N = 6 SE +/- 0.16, N = 8 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 3 120.22 90.73 79.98 126.85 132.78 153.49 193.35 97.52 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.3128 0.6256 0.9384 1.2512 1.564 1.05 0.98 1.08 1.39
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.18, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.30, N = 3 SE +/- 0.00, N = 3 22.22 16.13 13.16 23.08 16.95 24.39 29.71 12.35 MIN: 21.74 MIN: 15.87 MIN: 12.99 MIN: 22.73 / MAX: 23.26 MIN: 16.67 / MAX: 17.86 MIN: 23.26 / MAX: 25.64 MIN: 28.57 / MAX: 31.25 MIN: 12.05 / MAX: 13.16 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0608 0.1216 0.1824 0.2432 0.304 0.21 0.17 0.20 0.27
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 16K 32K 48K 64K 80K SE +/- 68.19, N = 3 SE +/- 42.10, N = 3 SE +/- 145.89, N = 3 SE +/- 764.79, N = 3 SE +/- 86.29, N = 3 SE +/- 267.58, N = 3 SE +/- 176.70, N = 3 SE +/- 58.62, N = 3 57260.79 41817.80 36431.26 62462.75 42584.92 61251.73 75121.74 31314.57 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -lpthread -lc Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Matrix Math Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 90 180 270 360 450 260.39 283.89 407.05 409.89
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 14.56 10.85 10.02 17.52 13.53 19.31 23.92 10.03 MIN: 13.92 / MAX: 15.24 MIN: 10.72 / MAX: 11.13 MIN: 9.93 / MAX: 10.21 MIN: 17.31 / MAX: 17.96 MIN: 13.39 / MAX: 13.88 MIN: 19.09 / MAX: 19.9 MIN: 23.56 / MAX: 24.53 MIN: 9.93 / MAX: 10.22 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0225 0.045 0.0675 0.09 0.1125 0.07 0.06 0.10 0.10
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Compression Effort 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.013, N = 5 SE +/- 0.007, N = 4 SE +/- 0.013, N = 4 SE +/- 0.007, N = 5 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.021, N = 3 SE +/- 0.014, N = 3 9.618 13.021 15.516 8.831 10.984 7.715 6.527 14.795 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lgif -lwebp -lwebpdemux
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.5535 1.107 1.6605 2.214 2.7675 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.59 1.19 1.15 1.98 1.38 1.98 2.46 1.04 MIN: 1.57 / MAX: 1.6 MIN: 1.18 / MAX: 1.2 MIN: 1.02 / MAX: 1.16 MIN: 1.97 / MAX: 1.99 MIN: 1.37 / MAX: 1.39 MIN: 1.96 / MAX: 2 MIN: 2.43 / MAX: 2.49 MIN: 1.02 / MAX: 1.05 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.12, N = 9 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 4 15.12 13.67 11.85 18.34 15.33 24.01 27.97 13.84 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0315 0.063 0.0945 0.126 0.1575 0.12 0.13 0.14 0.14
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.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 8.22, N = 6 SE +/- 5.67, N = 3 SE +/- 7.69, N = 3 SE +/- 3.38, N = 3 SE +/- 2.89, N = 3 SE +/- 3.48, N = 3 SE +/- 1.86, N = 3 SE +/- 9.40, N = 3 831 947 850 613 750 638 405 852 1. (CXX) g++ options: -flto -pthread Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.26 Backend: Eigen Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 3 6 9 12 15 5.76 6.57 8.99 4.34
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
7-Zip Compression This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20K 40K 60K 80K 100K SE +/- 70.29, N = 3 SE +/- 319.54, N = 3 SE +/- 327.77, N = 3 SE +/- 97.77, N = 3 SE +/- 128.15, N = 3 SE +/- 460.63, N = 3 SE +/- 150.25, N = 3 SE +/- 111.45, N = 3 57605 46224 41279 64750 67014 90766 95586 54412 1. (CXX) g++ options: -pipe -lpthread MIPS Per Watt
OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 16.02 Compress Speed Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 120 240 360 480 600 507.26 505.16 551.79 511.74
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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.10.20 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.80, N = 3 SE +/- 0.73, N = 3 SE +/- 0.65, N = 3 SE +/- 0.36, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.34, N = 3 SE +/- 0.30, N = 3 74.32 95.89 106.80 65.69 70.97 51.35 46.44 91.58
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 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.5629 1.1258 1.6887 2.2516 2.8145 SE +/- 0.00519, N = 3 SE +/- 0.00106, N = 3 SE +/- 0.00177, N = 3 SE +/- 0.00335, N = 3 SE +/- 0.00610, N = 3 SE +/- 0.00078, N = 3 SE +/- 0.00574, N = 3 SE +/- 0.00155, N = 3 1.29757 1.73463 2.08861 1.23131 1.85035 1.29344 1.09598 2.50189
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50K 100K 150K 200K 250K SE +/- 436.20, N = 3 SE +/- 20.73, N = 3 SE +/- 486.64, N = 3 SE +/- 234.02, N = 3 SE +/- 121.65, N = 3 SE +/- 170.36, N = 3 SE +/- 144.60, N = 3 SE +/- 64.52, N = 3 136136 182491 235960 150451 140293 121713 103984 186623
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 3.2.3 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.25, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 113.01 143.58 161.08 104.25 105.26 78.06 71.22 132.70
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 0.13 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.26, N = 3 SE +/- 0.40, N = 3 SE +/- 0.24, N = 3 SE +/- 0.22, N = 3 SE +/- 0.40, N = 3 SE +/- 0.69, N = 3 SE +/- 0.18, N = 3 SE +/- 0.27, N = 3 121.53 156.83 169.37 107.48 111.86 80.61 74.92 140.93
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.010, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.060, N = 3 SE +/- 0.053, N = 3 SE +/- 0.025, N = 3 4.290 3.207 2.742 4.347 4.027 5.512 6.138 2.911 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0068 0.0136 0.0204 0.0272 0.034 0.03 0.03 0.03 0.03
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Default Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.1725 2.345 3.5175 4.69 5.8625 SE +/- 0.014, N = 9 SE +/- 0.014, N = 8 SE +/- 0.010, N = 7 SE +/- 0.004, N = 9 SE +/- 0.023, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 3.563 4.549 5.211 3.296 3.366 2.628 2.338 4.339 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lgif -lwebp -lwebpdemux
Timed LLVM Compilation This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 160 320 480 640 800 SE +/- 1.30, N = 3 SE +/- 1.05, N = 3 SE +/- 1.62, N = 3 SE +/- 1.32, N = 3 SE +/- 1.23, N = 3 SE +/- 3.59, N = 3 SE +/- 4.56, N = 3 SE +/- 1.21, N = 3 544.30 701.18 750.81 475.60 506.87 374.39 343.01 634.48
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 13.32 11.91 6.77 10.87 8.80 12.02 14.45 6.68 Images / Sec Per Watt
OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0248 0.0496 0.0744 0.0992 0.124 0.09 0.11 0.07 0.07
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 16.62 12.81 12.22 20.22 15.30 20.59 25.47 11.81 MIN: 16.33 / MAX: 17.11 MIN: 12.69 / MAX: 13.05 MIN: 12.16 / MAX: 12.4 MIN: 20.07 / MAX: 20.6 MIN: 15.16 / MAX: 15.58 MIN: 20.34 / MAX: 21.13 MIN: 25.31 / MAX: 25.83 MIN: 11.64 / MAX: 12.02 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0293 0.0586 0.0879 0.1172 0.1465 0.09 0.08 0.13 0.13
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 12 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200M 400M 600M 800M 1000M SE +/- 748086.45, N = 3 SE +/- 158570.00, N = 3 SE +/- 131951.17, N = 3 SE +/- 1918439.76, N = 3 SE +/- 1165175.24, N = 3 SE +/- 3127460.81, N = 3 SE +/- 4513181.93, N = 3 SE +/- 657596.63, N = 3 663690000 516306667 396023333 632296667 606420000 836213333 844353333 463240000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid samples/s Per Watt
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 12 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 1000K 2000K 3000K 4000K 5000K 3957970.00 4075363.48 4271987.56 4438462.41
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 20201218 Target: CPU - Model: regnety_400m Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 4 SE +/- 0.01, N = 15 10.94 10.85 12.41 13.13 8.88 15.43 17.74 8.51 MIN: 10.75 / MAX: 12.02 MIN: 10.72 / MAX: 11.82 MIN: 12.35 / MAX: 12.68 MIN: 12.99 / MAX: 16.99 MIN: 8.6 / MAX: 9.66 MIN: 15.3 / MAX: 16.11 MIN: 17.52 / MAX: 25.23 MIN: 8.41 / MAX: 17.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Timed ImageMagick Compilation This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 25.60 31.06 33.78 23.63 23.19 17.65 16.50 27.83
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 80 160 240 320 400 SE +/- 0.12, N = 10 SE +/- 0.18, N = 9 SE +/- 0.09, N = 9 SE +/- 0.23, N = 10 SE +/- 1.80, N = 3 SE +/- 1.92, N = 3 SE +/- 0.64, N = 3 SE +/- 0.17, N = 3 268.38 211.97 180.74 274.18 268.56 326.05 363.86 210.26 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 1.0035 2.007 3.0105 4.014 5.0175 4.01 3.54 3.81 4.46
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.
Timed Wasmer Compilation This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 1.0.2 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 16 32 48 64 80 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.36, N = 3 52.83 65.97 72.25 49.68 51.25 39.83 36.75 63.64 1. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: mobilenet-v1-1.0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.7619 1.5238 2.2857 3.0476 3.8095 SE +/- 0.008, N = 13 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.004, N = 3 SE +/- 0.019, N = 15 SE +/- 0.029, N = 14 SE +/- 0.013, N = 3 1.930 2.878 3.373 3.386 1.729 3.281 2.328 2.595 MIN: 1.86 / MAX: 4.14 MIN: 2.84 / MAX: 3.6 MIN: 3.35 / MAX: 11.83 MIN: 3.3 / MAX: 3.89 MIN: 1.7 / MAX: 10.33 MIN: 3.11 / MAX: 11.84 MIN: 2.16 / MAX: 3.22 MIN: 2.53 / MAX: 12.27 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.2825 2.565 3.8475 5.13 6.4125 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 15 4.40 4.93 5.70 4.86 2.93 4.10 4.47 3.25 MIN: 4.21 / MAX: 5.54 MIN: 4.78 / MAX: 5.82 MIN: 5.53 / MAX: 6.44 MIN: 4.57 / MAX: 5.43 MIN: 2.86 / MAX: 3.37 MIN: 4 / MAX: 4.75 MIN: 4.29 / MAX: 5.08 MIN: 3.14 / MAX: 3.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.23, N = 3 SE +/- 0.48, N = 3 SE +/- 0.56, N = 3 SE +/- 0.17, N = 3 SE +/- 0.38, N = 3 SE +/- 0.59, N = 3 SE +/- 0.46, N = 3 SE +/- 0.38, N = 3 104.18 108.21 133.25 86.69 101.95 72.78 68.87 110.44 1. (CXX) g++ options: -O2 -lOpenCL
Nebular Empirical Analysis Tool NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.018, N = 4 SE +/- 0.081, N = 3 SE +/- 0.037, N = 3 SE +/- 0.011, N = 4 SE +/- 0.008, N = 3 SE +/- 0.058, N = 3 SE +/- 0.018, N = 3 SE +/- 0.047, N = 3 13.739 16.718 18.450 13.099 12.247 10.301 9.585 14.857 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: MobileNetV2_224 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.7461 1.4922 2.2383 2.9844 3.7305 SE +/- 0.023, N = 13 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.023, N = 15 SE +/- 0.031, N = 14 SE +/- 0.004, N = 3 1.995 2.268 2.667 3.037 1.734 3.187 3.316 1.970 MIN: 1.91 / MAX: 20.21 MIN: 2.21 / MAX: 3.23 MIN: 2.63 / MAX: 3.41 MIN: 2.94 / MAX: 11.58 MIN: 1.71 / MAX: 2.35 MIN: 3.03 / MAX: 12.05 MIN: 3.13 / MAX: 11.84 MIN: 1.92 / MAX: 6.97 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 17.64 13.79 10.87 15.90 12.56 15.09 17.49 9.30 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0225 0.045 0.0675 0.09 0.1125 0.09 0.09 0.10 0.09
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 21.56 16.86 13.30 18.75 15.28 18.24 21.31 11.39 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.027 0.054 0.081 0.108 0.135 0.12 0.11 0.12 0.12
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 2.25, N = 3 SE +/- 1.09, N = 3 SE +/- 3.56, N = 3 SE +/- 1.89, N = 3 SE +/- 1.59, N = 3 SE +/- 1.43, N = 3 SE +/- 1.86, N = 3 SE +/- 1.68, N = 3 1526.44 1565.68 1199.48 1167.43 2127.78 2162.67 2033.87 2206.74 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -lpthread -lc Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Memory Copying Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 9 18 27 36 45 27.85 41.36 22.66 12.54
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.52, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 59.97 72.44 82.54 58.16 58.08 48.24 44.02 70.98 1. (CXX) g++ options: -O3 -fPIC -lm
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.13, N = 8 SE +/- 0.10, N = 8 SE +/- 0.06, N = 7 SE +/- 0.26, N = 9 SE +/- 0.15, N = 3 SE +/- 0.52, N = 3 SE +/- 0.75, N = 3 SE +/- 0.28, N = 3 158.39 134.73 117.65 179.72 148.13 206.52 219.94 126.77 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.5085 1.017 1.5255 2.034 2.5425 1.90 1.85 2.03 2.26
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.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.2 Video Input: Summer Nature 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 3.22, N = 3 SE +/- 0.83, N = 3 SE +/- 0.53, N = 3 SE +/- 1.49, N = 3 SE +/- 2.76, N = 3 SE +/- 0.99, N = 3 SE +/- 1.90, N = 3 SE +/- 1.29, N = 3 707.02 575.61 513.94 778.08 754.86 861.33 960.23 658.23 MIN: 633.91 / MAX: 771.27 MIN: 530.79 / MAX: 625.21 MIN: 461.67 / MAX: 559.42 MIN: 661.9 / MAX: 850.18 -lm - MIN: 690.88 / MAX: 822.29 -lm - MIN: 660.73 / MAX: 936.49 -lm - MIN: 698.36 / MAX: 1043.31 -lm - MIN: 595.11 / MAX: 721.68 1. (CC) gcc options: -pthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.8.2 Video Input: Summer Nature 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 4 8 12 16 20 12.98 10.77 11.50 14.69
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.04, N = 4 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 4 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 15.50 19.06 22.85 15.64 16.06 13.57 12.29 19.97
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 20201218 Target: CPU - Model: efficientnet-b0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 4 SE +/- 0.02, N = 15 5.58 6.34 7.38 5.85 3.98 5.12 5.46 4.52 MIN: 5.46 / MAX: 6.41 MIN: 6.26 / MAX: 7.22 MIN: 7.32 / MAX: 8.05 MIN: 5.8 / MAX: 6.47 MIN: 3.95 / MAX: 4.74 MIN: 5.05 / MAX: 5.48 MIN: 5.33 / MAX: 8.23 MIN: 4.41 / MAX: 12.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 3.4.1 Test: Server Room - Acceleration: CPU-only Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.002, N = 8 SE +/- 0.003, N = 7 SE +/- 0.003, N = 7 SE +/- 0.002, N = 8 SE +/- 0.012, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.026, N = 3 3.458 3.996 4.415 3.457 5.688 5.466 5.738 6.330
Timed PHP Compilation This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 49.23 58.78 63.12 45.79 44.49 36.94 34.54 52.61
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 20201218 Target: CPU - Model: shufflenet-v2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.2803 2.5606 3.8409 5.1212 6.4015 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 15 3.74 4.40 5.69 4.24 3.14 4.52 4.46 3.70 MIN: 3.68 / MAX: 6.01 MIN: 4.35 / MAX: 5.32 MIN: 5.62 / MAX: 6.04 MIN: 3.99 / MAX: 4.87 MIN: 3.11 / MAX: 4.2 MIN: 4.48 / MAX: 6.37 MIN: 4.37 / MAX: 5.13 MIN: 3.62 / MAX: 11.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 3.4.1 Test: Boat - Acceleration: CPU-only Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.004, N = 7 SE +/- 0.003, N = 7 SE +/- 0.007, N = 6 SE +/- 0.004, N = 8 SE +/- 0.025, N = 3 SE +/- 0.012, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 4.284 5.374 6.447 4.177 6.133 5.372 5.259 7.503
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.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 800 1600 2400 3200 4000 SE +/- 0.00, N = 4 SE +/- 0.00, N = 4 SE +/- 4.44, N = 4 SE +/- 5.54, N = 5 SE +/- 0.00, N = 3 SE +/- 6.56, N = 15 SE +/- 13.36, N = 3 SE +/- 35.99, N = 4 2080.12 2113.14 2177.99 2451.76 3413.54 3732.72 3260.38 3611.35 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp Million Grid Points Per Second Per Watt
OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 16 32 48 64 80 62.43 70.41 69.69 64.48
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd 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 1.4.9 Compression Level: 19 - Compression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 33.2 29.0 28.7 33.6 36.0 44.4 51.4 31.4 1. (CC) gcc options: -O3 -pthread -lz -llzma
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 31.07 36.85 42.17 31.00 30.41 25.19 23.63 36.75 1. (CXX) g++ options: -O3 -fPIC -lm
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Atomic Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 80K 160K 240K 320K 400K SE +/- 4227.49, N = 4 SE +/- 1404.42, N = 3 SE +/- 505.84, N = 3 SE +/- 8211.28, N = 15 SE +/- 228.76, N = 3 SE +/- 467.93, N = 3 SE +/- 492.83, N = 3 SE +/- 23.83, N = 3 358263.94 366218.79 299106.87 238806.89 248175.46 220519.40 211544.75 289724.00 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -lpthread -lc Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Atomic Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 1400 2800 4200 5600 7000 4489.75 6060.03 6716.97 3199.15
Timed GDB GNU Debugger Compilation This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.34, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 91.82 95.09 97.34 77.29 64.37 58.36 56.26 72.60
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 130M 260M 390M 520M 650M SE +/- 706194.81, N = 3 SE +/- 1098261.25, N = 3 SE +/- 248819.43, N = 3 SE +/- 2967250.88, N = 3 SE +/- 2979666.28, N = 3 SE +/- 3426681.26, N = 3 SE +/- 1846206.32, N = 3 SE +/- 126798.18, N = 3 628696667 476753333 363546667 492146667 582583333 582643333 590223333 439903333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid samples/s Per Watt
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 900K 1800K 2700K 3600K 4500K 4070569.72 4085596.25 4270563.87 4136526.33
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.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.2 Video Input: Summer Nature 4K Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.46, N = 3 SE +/- 0.22, N = 3 190.03 155.13 140.44 191.43 204.71 242.62 242.37 179.18 MIN: 177.06 / MAX: 203.32 MIN: 147.98 / MAX: 169.39 MIN: 133.88 / MAX: 153.56 MIN: 165.57 / MAX: 199.14 -lm - MIN: 187.51 / MAX: 220.42 -lm - MIN: 202.25 / MAX: 255.99 -lm - MIN: 180.51 / MAX: 251.17 -lm - MIN: 169.33 / MAX: 200.43 1. (CC) gcc options: -pthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.8.2 Video Input: Summer Nature 4K Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.4995 0.999 1.4985 1.998 2.4975 2.21 1.99 2.17 2.22
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: AES-256 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2K 4K 6K 8K 10K SE +/- 14.31, N = 3 SE +/- 0.82, N = 3 SE +/- 0.55, N = 3 SE +/- 0.24, N = 3 SE +/- 9.54, N = 3 SE +/- 45.96, N = 3 SE +/- 9.82, N = 3 SE +/- 16.25, N = 3 7835.37 7851.85 4583.41 4905.38 7483.57 7514.53 7369.24 7212.53 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Botan 2.13.0 Test: AES-256 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 60 120 180 240 300 262.59 241.95 182.58 198.87
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 20201218 Target: CPU - Model: mobilenet Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 4 SE +/- 0.09, N = 15 16.47 17.85 20.08 15.62 11.76 12.03 12.38 13.67 MIN: 16.33 / MAX: 16.96 MIN: 17.58 / MAX: 25.01 MIN: 19.93 / MAX: 24.91 MIN: 15.45 / MAX: 15.97 MIN: 11.66 / MAX: 11.95 MIN: 11.77 / MAX: 12.36 MIN: 12 / MAX: 13.03 MIN: 13.22 / MAX: 23.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Repo OpenMP Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 10K 20K 30K 40K 50K SE +/- 23.79, N = 3 SE +/- 120.81, N = 3 SE +/- 117.12, N = 3 SE +/- 22.40, N = 3 SE +/- 150.56, N = 3 SE +/- 94.94, N = 3 SE +/- 81.70, N = 3 SE +/- 173.15, N = 3 26739.40 37652.17 45547.03 30827.48 27714.54 27632.17 27280.44 36771.47 1. (CXX) g++ options: -O3 -march=native -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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.00, N = 7 SE +/- 0.00, N = 7 SE +/- 0.01, N = 7 SE +/- 0.00, N = 7 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 13.90 13.21 22.44 21.34 19.69 16.50 17.16 20.48 MIN: 13.81 MIN: 13.13 MIN: 22.37 MIN: 21.26 MIN: 18.96 MIN: 15.93 MIN: 16.69 MIN: 19.26 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.4.1 Test: Masskrug - Acceleration: CPU-only Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.006, N = 7 SE +/- 0.003, N = 7 SE +/- 0.004, N = 6 SE +/- 0.003, N = 7 SE +/- 0.009, N = 3 SE +/- 0.016, N = 3 SE +/- 0.011, N = 3 SE +/- 0.029, N = 3 4.558 5.283 5.872 4.431 6.604 5.928 6.024 7.478
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.26, N = 5 SE +/- 0.20, N = 5 SE +/- 0.26, N = 4 SE +/- 0.16, N = 5 SE +/- 0.72, N = 5 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.31, N = 3 67.22 60.56 52.35 70.81 70.84 83.47 87.90 61.41 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.171 0.342 0.513 0.684 0.855 0.64 0.68 0.76 0.73
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Gridding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 300 600 900 1200 1500 SE +/- 2.51, N = 3 SE +/- 1.44, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 SE +/- 3.75, N = 3 SE +/- 2.18, N = 3 SE +/- 0.60, N = 3 SE +/- 1.79, N = 3 1201.28 1313.95 1078.93 1031.40 852.00 835.83 786.00 883.27 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.0058 2.0116 3.0174 4.0232 5.029 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 4 SE +/- 0.01, N = 15 3.60 4.05 4.47 3.79 2.68 3.90 4.16 3.06 MIN: 3.45 / MAX: 4.74 MIN: 3.98 / MAX: 4.92 MIN: 4.42 / MAX: 5.16 MIN: 3.7 / MAX: 4.45 MIN: 2.65 / MAX: 3.15 MIN: 3.83 / MAX: 4.45 MIN: 4.11 / MAX: 4.77 MIN: 2.97 / MAX: 4.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.34, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 44.52 42.84 32.82 37.62 54.26 53.89 54.11 48.96 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm Mpix/sec Per Watt
OpenBenchmarking.org Mpix/sec Per Watt, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.153 0.306 0.459 0.612 0.765 0.68 0.68 0.67 0.68
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 6 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.032, N = 5 SE +/- 0.011, N = 4 SE +/- 0.039, N = 4 SE +/- 0.059, N = 5 SE +/- 0.033, N = 3 SE +/- 0.089, N = 3 SE +/- 0.045, N = 3 SE +/- 0.008, N = 3 11.018 12.801 14.749 11.018 10.801 9.462 8.929 12.737 1. (CXX) g++ options: -O3 -fPIC -lm
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
GNU Radio GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: FIR Filter Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 0.86, N = 3 SE +/- 0.53, N = 9 SE +/- 1.15, N = 9 SE +/- 0.96, N = 3 SE +/- 6.38, N = 3 SE +/- 4.52, N = 9 SE +/- 1.83, N = 9 SE +/- 0.86, N = 9 729.7 730.6 671.1 717.8 1098.5 1049.5 1087.6 1086.4 1. 3.8.2.0
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Bonds OpenMP Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 14K 28K 42K 56K 70K SE +/- 51.77, N = 3 SE +/- 158.64, N = 3 SE +/- 146.42, N = 3 SE +/- 447.02, N = 3 SE +/- 230.67, N = 3 SE +/- 182.43, N = 3 SE +/- 69.33, N = 3 SE +/- 67.08, N = 3 41246.99 54789.57 63863.35 44328.35 39766.83 40130.95 39148.09 51904.81 1. (CXX) g++ options: -O3 -march=native -fopenmp
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 20201218 Target: CPU - Model: mnasnet Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.9855 1.971 2.9565 3.942 4.9275 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 2 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 SE +/- 0.02, N = 15 3.45 3.80 4.38 3.75 2.69 3.65 3.99 3.00 MIN: 3.32 / MAX: 4.25 MIN: 3.74 / MAX: 4.57 MIN: 4.33 / MAX: 5.08 MIN: 3.58 / MAX: 4.47 MIN: 2.62 / MAX: 3.37 MIN: 3.6 / MAX: 4.11 MIN: 3.87 / MAX: 10.89 MIN: 2.92 / MAX: 6.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: DXT1 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 0.21, N = 10 SE +/- 0.65, N = 10 SE +/- 1.22, N = 9 SE +/- 10.89, N = 9 SE +/- 2.88, N = 3 SE +/- 1.54, N = 3 SE +/- 4.19, N = 3 SE +/- 0.35, N = 3 2387.85 2373.80 1473.20 1570.83 1540.35 1509.12 1541.28 1478.68 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread Mpx/s Per Watt
OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 0.7 Configuration: DXT1 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 20 40 60 80 100 109.13 104.15 86.76 84.86
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 Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 120 240 360 480 600 SE +/- 1.92, N = 3 SE +/- 0.17, N = 3 SE +/- 1.00, N = 3 SE +/- 0.76, N = 3 SE +/- 3.37, N = 3 SE +/- 0.87, N = 3 SE +/- 2.67, N = 3 SE +/- 0.60, N = 3 458 383 337 454 544 444 439 434 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.7898 1.5796 2.3694 3.1592 3.949 2.78 2.93 3.51 3.00
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.1026 2.2052 3.3078 4.4104 5.513 SE +/- 0.00378, N = 4 SE +/- 0.00885, N = 4 SE +/- 0.00370, N = 4 SE +/- 0.03462, N = 15 SE +/- 0.00580, N = 3 SE +/- 0.00662, N = 3 SE +/- 0.01262, N = 3 SE +/- 0.00241, N = 3 4.03526 4.90043 4.45168 3.35260 3.06249 3.69324 3.91650 4.33119 MIN: 3.9 MIN: 4.78 MIN: 4.38 MIN: 3.04 MIN: 2.96 MIN: 3.45 MIN: 3.7 MIN: 4.11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
WireGuard + Linux Networking Stack Stress Test This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.68, N = 3 SE +/- 0.79, N = 3 SE +/- 1.88, N = 12 SE +/- 0.87, N = 3 SE +/- 0.39, N = 3 SE +/- 1.66, N = 3 SE +/- 1.55, N = 3 SE +/- 1.01, N = 3 131.08 141.99 184.61 184.54 116.08 147.84 141.65 123.98
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: inception-v3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.09, N = 13 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 15 SE +/- 0.17, N = 14 SE +/- 0.10, N = 3 23.04 28.35 35.24 31.28 22.22 27.81 32.14 26.91 MIN: 22.64 / MAX: 31.07 MIN: 28.22 / MAX: 35.59 MIN: 34.92 / MAX: 43.56 MIN: 30.72 / MAX: 39.75 MIN: 22.05 / MAX: 23.24 MIN: 26.45 / MAX: 37.11 MIN: 30.2 / MAX: 41.17 MIN: 26.52 / MAX: 36.65 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.25, N = 9 SE +/- 0.10, N = 8 SE +/- 0.07, N = 8 SE +/- 0.19, N = 9 SE +/- 0.38, N = 3 SE +/- 0.34, N = 3 SE +/- 0.51, N = 3 SE +/- 0.46, N = 3 195.20 165.17 145.34 203.93 179.99 226.37 230.36 154.52 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.6728 1.3456 2.0184 2.6912 3.364 2.74 2.59 2.90 2.99
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 100 200 300 400 500 SE +/- 0.06, N = 4 SE +/- 0.02, N = 4 SE +/- 0.53, N = 3 SE +/- 3.60, N = 3 SE +/- 1.35, N = 3 SE +/- 2.30, N = 3 SE +/- 0.85, N = 3 SE +/- 0.17, N = 3 341.2 341.3 444.7 412.5 282.3 288.2 280.8 288.8 1. firefox 86.0
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 Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2K 4K 6K 8K 10K SE +/- 32.84, N = 3 SE +/- 14.06, N = 3 SE +/- 5.57, N = 3 SE +/- 51.72, N = 3 SE +/- 13.58, N = 3 SE +/- 10.44, N = 3 SE +/- 190.59, N = 12 SE +/- 24.46, N = 3 7839 6193 4959 6697 7210 6257 7782 5341 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 9 18 27 36 45 33.96 31.69 37.73 34.66
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 20201218 Target: CPU - Model: yolov4-tiny Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.36, N = 3 SE +/- 0.44, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.52, N = 3 SE +/- 0.12, N = 4 SE +/- 0.07, N = 15 23.35 25.47 28.74 23.48 18.34 20.60 21.42 20.86 MIN: 22.5 / MAX: 24.15 MIN: 24.91 / MAX: 26.64 MIN: 28.61 / MAX: 30.98 MIN: 23.15 / MAX: 24.15 MIN: 17.98 / MAX: 22.96 MIN: 19.88 / MAX: 22 MIN: 20.96 / MAX: 26.07 MIN: 20.22 / MAX: 30.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.68, N = 9 SE +/- 0.54, N = 8 SE +/- 0.55, N = 8 SE +/- 0.75, N = 9 SE +/- 2.02, N = 3 SE +/- 2.76, N = 3 SE +/- 2.33, N = 3 SE +/- 0.99, N = 3 189.98 161.91 142.53 199.00 173.57 220.01 222.99 150.96 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.6615 1.323 1.9845 2.646 3.3075 2.68 2.56 2.88 2.94
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.00411, N = 5 SE +/- 0.01347, N = 5 SE +/- 0.01217, N = 5 SE +/- 0.00474, N = 5 SE +/- 0.00356, N = 3 SE +/- 0.00800, N = 3 SE +/- 0.03844, N = 3 SE +/- 0.00976, N = 3 9.97621 7.88531 11.80310 12.20350 9.85587 8.62541 8.91343 10.09170 MIN: 9.9 MIN: 7.57 MIN: 11.58 MIN: 12.08 MIN: 9.46 MIN: 8.52 MIN: 8.66 MIN: 9.93 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
GNU Radio GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: Five Back to Back FIR Filters Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 300 600 900 1200 1500 SE +/- 14.53, N = 3 SE +/- 11.17, N = 9 SE +/- 13.81, N = 9 SE +/- 13.15, N = 3 SE +/- 15.23, N = 3 SE +/- 20.62, N = 9 SE +/- 19.55, N = 9 SE +/- 12.04, N = 9 1496.4 1373.2 1104.6 1311.7 1485.0 967.5 990.5 1374.7 1. 3.8.2.0
C-Blosc A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3K 6K 9K 12K 15K SE +/- 11.03, N = 3 SE +/- 46.09, N = 3 SE +/- 9.02, N = 3 SE +/- 31.68, N = 3 SE +/- 66.39, N = 3 SE +/- 41.37, N = 3 SE +/- 9.26, N = 3 SE +/- 6.21, N = 3 11655.2 10923.1 10063.7 11007.5 15513.2 13858.2 13088.5 15004.3 1. (CXX) g++ options: -rdynamic MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 50 100 150 200 250 193.43 225.75 232.16 168.41
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.40, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 3 46.12 45.13 33.26 34.80 49.10 50.50 50.50 51.00 1. chrome 89.0.4389.90 Runs / Minute Per Watt
OpenBenchmarking.org Runs / Minute Per Watt, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.3083 0.6166 0.9249 1.2332 1.5415 1.37 1.27 1.33 1.37
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 6 Realtime Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.31, N = 3 SE +/- 0.09, N = 3 29.11 24.92 20.79 27.68 30.53 30.75 31.81 24.95 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 6 Realtime Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0585 0.117 0.1755 0.234 0.2925 0.26 0.25 0.25 0.26
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd 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 1.4.9 Compression Level: 19, Long Mode - Compression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.13, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 31.2 23.9 23.8 29.4 29.7 34.4 36.2 25.7 1. (CC) gcc options: -O3 -pthread -lz -llzma
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 Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.61, N = 3 SE +/- 7.82, N = 3 SE +/- 1.42, N = 3 SE +/- 1.36, N = 3 SE +/- 1.00, N = 3 SE +/- 1.09, N = 3 SE +/- 14.27, N = 12 SE +/- 0.50, N = 3 853 659 561 710 820 613 669 655 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 1.17 2.34 3.51 4.68 5.85 3.85 3.95 5.20 4.39
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 6 Two-Pass Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 22.86 20.26 16.99 22.35 25.82 22.33 24.80 21.72 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 6 Two-Pass Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.045 0.09 0.135 0.18 0.225 0.19 0.19 0.20 0.19
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: resnet-v2-50 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.04, N = 13 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.34, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 15 SE +/- 0.13, N = 14 SE +/- 0.13, N = 3 19.75 23.46 29.15 28.47 19.20 25.78 24.15 22.64 MIN: 19.52 / MAX: 21.59 MIN: 23.36 / MAX: 25.42 MIN: 29.03 / MAX: 37.57 MIN: 27.85 / MAX: 77.58 MIN: 18.93 / MAX: 27.36 MIN: 24.84 / MAX: 35.5 MIN: 23.06 / MAX: 33.26 MIN: 21.99 / MAX: 148.43 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 900 1800 2700 3600 4500 SE +/- 3.13, N = 3 SE +/- 4.95, N = 3 SE +/- 2.12, N = 3 SE +/- 10.33, N = 3 SE +/- 2.51, N = 3 SE +/- 9.27, N = 3 SE +/- 0.80, N = 3 SE +/- 0.71, N = 3 3054.74 3595.85 4043.39 2828.60 2832.98 3046.80 2684.29 3810.76 MIN: 3046.81 MIN: 3586.82 MIN: 4038.72 MIN: 2804.11 MIN: 2823.5 MIN: 3027.63 MIN: 2676.05 MIN: 3800.71 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 900 1800 2700 3600 4500 SE +/- 3.78, N = 3 SE +/- 3.22, N = 3 SE +/- 1.53, N = 3 SE +/- 18.62, N = 3 SE +/- 1.60, N = 3 SE +/- 8.93, N = 3 SE +/- 2.45, N = 3 SE +/- 0.90, N = 3 3048.79 3590.78 4043.68 2856.62 2827.55 3048.92 2688.85 3813.04 MIN: 3036.98 MIN: 3584.01 MIN: 4039.41 MIN: 2814.81 MIN: 2820.83 MIN: 3032.61 MIN: 2677.7 MIN: 3804.75 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
LuaRadio LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Hilbert Transform Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 SE +/- 0.78, N = 3 SE +/- 0.61, N = 3 SE +/- 0.47, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 107.1 107.8 85.5 92.0 128.2 127.1 127.9 124.1
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.49, N = 3 SE +/- 1.48, N = 3 SE +/- 4.29, N = 3 SE +/- 7.07, N = 3 SE +/- 1.73, N = 3 SE +/- 0.55, N = 3 SE +/- 2.75, N = 3 SE +/- 0.87, N = 3 610.9 618.3 815.8 786.2 545.7 569.3 557.2 551.2 1. chrome 89.0.4389.90
Timed Erlang/OTP Compilation This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Erlang/OTP Compilation 23.2 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.32, N = 3 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 92.20 105.05 114.58 87.52 87.77 80.52 76.70 98.49
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 900 1800 2700 3600 4500 SE +/- 2.67, N = 3 SE +/- 6.29, N = 3 SE +/- 2.57, N = 3 SE +/- 2.37, N = 3 SE +/- 1.15, N = 3 SE +/- 18.22, N = 3 SE +/- 16.80, N = 3 SE +/- 0.73, N = 3 3051.57 3592.39 4039.23 2836.83 2825.10 3049.41 2712.72 3810.78 MIN: 3041.35 MIN: 3579.7 MIN: 4032.43 MIN: 2812.23 MIN: 2818.53 MIN: 3010.63 MIN: 2673.82 MIN: 3802.56 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Java Gradle Build This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 2.44, N = 12 SE +/- 1.93, N = 3 SE +/- 2.50, N = 12 SE +/- 2.52, N = 3 SE +/- 1.39, N = 12 SE +/- 3.88, N = 9 SE +/- 3.33, N = 12 SE +/- 1.69, N = 12 174.13 176.46 183.75 192.44 144.10 213.80 208.73 143.80
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 4.22, N = 3 SE +/- 2.23, N = 3 SE +/- 4.69, N = 3 SE +/- 13.50, N = 3 SE +/- 2.53, N = 3 SE +/- 3.02, N = 3 SE +/- 7.17, N = 3 SE +/- 2.72, N = 3 1785.60 1905.43 2527.55 1747.20 1807.55 1786.61 1702.93 2183.56 MIN: 1772.99 MIN: 1899.41 MIN: 2519.38 MIN: 1704.43 MIN: 1799.71 MIN: 1776.43 MIN: 1687.8 MIN: 2173.13 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 1.92, N = 12 SE +/- 1.30, N = 12 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 69.63 76.34 93.74 84.61 67.54 69.32 63.20 66.94 1. (CXX) g++ options: -O2 -lOpenCL
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 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.29, N = 3 SE +/- 0.13, N = 3 160.33 163.48 182.85 186.24 161.62 126.06 135.36 166.02 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
srsLTE srsLTE is an open-source LTE software radio suite created by Software Radio Systems (SRS). srsLTE can be used for building your own software defined (SDR) LTE mobile network. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Samples / Second, More Is Better srsLTE 20.10.1 Test: OFDM_Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40M 80M 120M 160M 200M SE +/- 845248.16, N = 3 SE +/- 1192103.65, N = 3 SE +/- 940449.07, N = 3 SE +/- 568624.07, N = 3 SE +/- 1188364.22, N = 15 SE +/- 775313.56, N = 3 SE +/- 818535.28, N = 3 SE +/- 680685.93, N = 3 175933333 175766667 119166667 127500000 162620000 163933333 164400000 158200000 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lbladeRF -lm -lfftw3f -lmbedcrypto Samples / Second Per Watt
OpenBenchmarking.org Samples / Second Per Watt, More Is Better srsLTE 20.10.1 Test: OFDM_Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 700K 1400K 2100K 2800K 3500K 2977736.09 2773039.32 3047338.98 3272615.27
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 3.60, N = 3 SE +/- 4.84, N = 3 SE +/- 0.76, N = 3 SE +/- 14.06, N = 3 SE +/- 0.54, N = 3 SE +/- 9.96, N = 3 SE +/- 10.46, N = 3 SE +/- 2.05, N = 3 1778.79 1906.01 2528.63 1753.80 1801.70 1782.29 1714.63 2184.89 MIN: 1767.95 MIN: 1897.07 MIN: 2525.47 MIN: 1695.78 MIN: 1797.43 MIN: 1757.37 MIN: 1688.47 MIN: 2175.55 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 20201218 Target: CPU - Model: googlenet Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 4 SE +/- 0.05, N = 15 12.15 13.79 15.48 12.91 10.50 11.65 12.91 11.55 MIN: 11.7 / MAX: 20.59 MIN: 13.7 / MAX: 15.81 MIN: 15.37 / MAX: 22.9 MIN: 12.56 / MAX: 13.39 MIN: 10.38 / MAX: 12.88 MIN: 11.43 / MAX: 12.17 MIN: 12.42 / MAX: 20.93 MIN: 10.91 / MAX: 23.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 6.49, N = 3 SE +/- 4.50, N = 3 SE +/- 1.31, N = 3 SE +/- 7.95, N = 3 SE +/- 2.40, N = 3 SE +/- 3.33, N = 3 SE +/- 20.39, N = 3 SE +/- 5.56, N = 3 1777.47 1904.22 2525.71 1741.53 1809.15 1783.83 1715.81 2182.01 MIN: 1766.39 MIN: 1894.01 MIN: 2520.45 MIN: 1705.57 MIN: 1800.73 MIN: 1771.33 MIN: 1682.6 MIN: 2167.92 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.4 Preset: Medium Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.0033, N = 7 SE +/- 0.0050, N = 7 SE +/- 0.0041, N = 7 SE +/- 0.0136, N = 7 SE +/- 0.0135, N = 3 SE +/- 0.0499, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0016, N = 3 5.0295 5.4618 6.0384 4.9293 4.6300 4.2345 4.1076 5.1140 1. (CXX) g++ options: -O3 -flto -pthread
Basis Universal Basis Universal is a GPU texture codec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.003, N = 7 SE +/- 0.010, N = 6 SE +/- 0.003, N = 6 SE +/- 0.010, N = 6 SE +/- 0.010, N = 3 SE +/- 0.012, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 6.246 6.695 7.607 6.445 5.674 5.243 5.176 6.051 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.19, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 20.90 20.89 22.36 20.56 15.25 15.34 15.36 15.77 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.47, N = 3 SE +/- 0.37, N = 3 SE +/- 0.37, N = 3 60.48 56.85 67.96 78.95 56.54 60.72 62.18 53.90
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Unkeyed Algorithms Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 120 240 360 480 600 SE +/- 3.21, N = 3 SE +/- 0.93, N = 3 SE +/- 0.08, N = 3 SE +/- 0.42, N = 3 SE +/- 0.23, N = 3 SE +/- 6.76, N = 12 SE +/- 5.97, N = 3 SE +/- 10.40, N = 15 437.55 440.16 370.41 406.18 537.49 523.31 542.24 477.08 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe MiB/second Per Watt
OpenBenchmarking.org MiB/second Per Watt, More Is Better Crypto++ 8.2 Test: Unkeyed Algorithms Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 3 6 9 12 15 13.21 12.48 12.20 11.16
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 20201218 Target: CPU - Model: squeezenet_ssd Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 4 SE +/- 0.06, N = 15 18.07 18.65 20.54 17.87 15.44 14.11 14.80 16.17 MIN: 17.79 / MAX: 18.75 MIN: 18.48 / MAX: 19.95 MIN: 20.44 / MAX: 21.03 MIN: 17.63 / MAX: 18.19 MIN: 15.13 / MAX: 15.67 MIN: 13.83 / MAX: 14.44 MIN: 14.35 / MAX: 15.7 MIN: 15.64 / MAX: 23 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 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 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 80 160 240 320 400 SE +/- 0.88, N = 4 SE +/- 0.14, N = 4 SE +/- 0.55, N = 4 SE +/- 0.72, N = 4 SE +/- 2.11, N = 3 SE +/- 0.66, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 281.21 280.44 370.43 347.04 255.32 260.06 257.64 260.40 1. chrome 89.0.4389.90
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3K 6K 9K 12K 15K SE +/- 3.10, N = 3 SE +/- 15.37, N = 3 SE +/- 6.86, N = 3 SE +/- 7.75, N = 3 SE +/- 19.19, N = 3 SE +/- 39.94, N = 3 SE +/- 38.20, N = 3 SE +/- 15.09, N = 3 10283.80 10167.42 8502.64 8677.76 12193.67 12297.90 12108.30 11892.19 1. (CC) gcc options: -O3
Radiance Benchmark This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: SMP Parallel Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 152.21 153.62 193.40 182.98 137.09 142.00 137.90 134.58
Timed Apache Compilation This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 17.44 18.79 19.92 16.80 15.26 14.36 13.91 16.23
Himeno Benchmark The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1200 2400 3600 4800 6000 SE +/- 1.57, N = 3 SE +/- 13.51, N = 3 SE +/- 0.43, N = 3 SE +/- 0.36, N = 3 SE +/- 84.92, N = 12 SE +/- 78.43, N = 15 SE +/- 51.25, N = 15 SE +/- 13.03, N = 3 5666.35 5588.78 3961.32 4268.55 5293.49 5179.33 5206.59 4791.81 1. (CC) gcc options: -O3 -mavx2 MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 30 60 90 120 150 154.63 139.49 119.93 125.38
Radiance Benchmark This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: Serial Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 130 260 390 520 650 484.43 485.53 619.83 583.09 435.24 439.89 435.81 438.34
LuaRadio LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Five Back to Back FIR Filters Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 400 800 1200 1600 2000 SE +/- 1.73, N = 3 SE +/- 1.74, N = 3 SE +/- 1.48, N = 3 SE +/- 6.21, N = 3 SE +/- 9.92, N = 3 SE +/- 8.21, N = 3 SE +/- 6.98, N = 3 SE +/- 2.15, N = 3 1536.8 1427.4 1250.0 1363.9 1776.4 1599.5 1756.5 1680.0
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 52.45 55.99 64.24 53.81 49.61 45.54 45.50 54.14 1. RawTherapee, version 5.8, command line.
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.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 400 800 1200 1600 2000 SE +/- 1.71, N = 3 SE +/- 2.59, N = 3 SE +/- 0.64, N = 3 SE +/- 0.20, N = 3 SE +/- 4.79, N = 3 SE +/- 2.35, N = 3 SE +/- 1.60, N = 3 SE +/- 4.97, N = 3 1743.56 1884.26 1886.11 1768.36 1477.01 1542.28 1344.52 1545.78 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp Million Grid Points Per Second Per Watt
OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 9 18 27 36 45 29.39 37.87 36.38 21.69
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 20201218 Target: CPU - Model: resnet50 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.28, N = 3 SE +/- 0.13, N = 4 SE +/- 0.06, N = 15 24.51 28.98 30.91 24.11 22.08 22.91 24.55 25.47 MIN: 24.19 / MAX: 25.01 MIN: 28.7 / MAX: 30.06 MIN: 30.65 / MAX: 37.68 MIN: 23.53 / MAX: 24.57 MIN: 21.91 / MAX: 22.62 MIN: 22.44 / MAX: 31.02 MIN: 24.18 / MAX: 25.48 MIN: 24.78 / MAX: 34.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: SqueezeNetV1.0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.1615 2.323 3.4845 4.646 5.8075 SE +/- 0.051, N = 13 SE +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.043, N = 15 SE +/- 0.042, N = 14 SE +/- 0.045, N = 3 3.781 3.818 4.616 4.690 3.694 4.951 5.162 3.923 MIN: 3.66 / MAX: 45.38 MIN: 3.77 / MAX: 11.45 MIN: 4.55 / MAX: 5.35 MIN: 4.54 / MAX: 5.44 MIN: 3.58 / MAX: 4.48 MIN: 4.61 / MAX: 23.94 MIN: 4.95 / MAX: 24.71 MIN: 3.79 / MAX: 26.02 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
GNU Radio GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: IIR Filter Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.02, N = 3 SE +/- 0.84, N = 9 SE +/- 0.91, N = 9 SE +/- 0.45, N = 3 SE +/- 4.38, N = 3 SE +/- 0.77, N = 9 SE +/- 2.26, N = 9 SE +/- 0.93, N = 9 836.6 832.5 622.9 669.5 866.5 827.0 854.9 848.6 1. 3.8.2.0
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 4 Two-Pass Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 7.71 7.06 5.98 7.16 8.10 7.83 8.28 7.48 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 4 Two-Pass Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.018 0.036 0.054 0.072 0.09 0.07 0.07 0.08 0.07
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Encryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1000 2000 3000 4000 5000 SE +/- 13.97, N = 3 SE +/- 4.31, N = 3 SE +/- 0.67, N = 3 SE +/- 11.36, N = 3 SE +/- 31.02, N = 3 SE +/- 28.53, N = 3 SE +/- 10.32, N = 3 SE +/- 16.28, N = 3 4814.3 4789.6 3487.0 3694.7 4539.5 4641.1 4512.3 4464.7
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.20, N = 15 17.02 17.38 18.63 17.27 15.55 21.37 15.48 16.82 1. (CXX) g++ options: -O2 -lOpenCL
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1000 2000 3000 4000 5000 SE +/- 13.64, N = 3 SE +/- 5.71, N = 3 SE +/- 0.20, N = 3 SE +/- 11.71, N = 3 SE +/- 44.52, N = 3 SE +/- 17.13, N = 3 SE +/- 12.58, N = 3 SE +/- 14.51, N = 3 4788.0 4770.0 3488.8 3691.0 4534.7 4620.7 4512.8 4446.1
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 2.10.22 Test: resize Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.012, N = 6 SE +/- 0.018, N = 6 SE +/- 0.038, N = 5 SE +/- 0.042, N = 6 SE +/- 0.029, N = 3 SE +/- 0.039, N = 3 SE +/- 0.044, N = 3 SE +/- 0.024, N = 3 6.228 6.584 7.726 6.771 5.741 5.838 5.657 6.187
RAR Compression This test measures the time needed to archive/compress two copies of the Linux 4.13 kernel source tree using RAR/WinRAR compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RAR Compression 5.6.1 Linux Source Tree Archiving To RAR Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 11 22 33 44 55 SE +/- 0.13, N = 3 SE +/- 0.42, N = 4 SE +/- 0.11, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 SE +/- 0.32, N = 3 SE +/- 0.47, N = 4 36.12 39.66 46.95 41.60 36.19 49.22 47.58 38.15
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 33.08 32.14 28.81 30.37 38.61 35.87 36.19 39.13 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.1125 0.225 0.3375 0.45 0.5625 0.48 0.48 0.50 0.48
Perl Benchmarks Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.0002 0.0004 0.0006 0.0008 0.001 SE +/- 0.00000434, N = 3 SE +/- 0.00000128, N = 3 SE +/- 0.00000324, N = 3 SE +/- 0.00000188, N = 3 SE +/- 0.00000071, N = 3 SE +/- 0.00000783, N = 3 SE +/- 0.00000311, N = 3 SE +/- 0.00000171, N = 3 0.00067581 0.00066048 0.00074847 0.00070784 0.00055289 0.00063069 0.00063476 0.00056807
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 9.36 9.19 7.82 8.30 10.33 10.08 10.22 10.48 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0248 0.0496 0.0744 0.0992 0.124 0.09 0.09 0.11 0.11
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.004, N = 6 SE +/- 0.003, N = 6 SE +/- 0.008, N = 6 SE +/- 0.005, N = 6 SE +/- 0.001, N = 3 SE +/- 0.068, N = 3 SE +/- 0.076, N = 3 SE +/- 0.001, N = 3 6.529 6.524 7.660 6.962 5.818 5.755 5.717 5.885 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.41, N = 4 SE +/- 0.00, N = 4 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.52, N = 3 SE +/- 1.00, N = 3 SE +/- 0.14, N = 3 208.66 207.04 181.05 187.74 217.71 242.33 219.31 201.34 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp Iterations Per Second Per Watt
OpenBenchmarking.org Iterations Per Second Per Watt, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 2 4 6 8 10 6.02 5.93 5.16 4.36
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 SE +/- 0.04, N = 3 SE +/- 0.01, N = 4 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 15.04 14.97 17.30 16.53 13.24 13.17 12.93 13.28
Google SynthMark SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 70M 140M 210M 280M 350M SE +/- 1378578.17, N = 3 SE +/- 293560.52, N = 3 SE +/- 121655.25, N = 3 SE +/- 1425002.92, N = 3 SE +/- 991429.94, N = 3 SE +/- 2862134.01, N = 3 SE +/- 929270.92, N = 3 SE +/- 1109058.66, N = 3 319466667 313286667 239450000 255770000 301270000 293933333 300293333 306376667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid samples/s Per Watt
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 800K 1600K 2400K 3200K 4000K 3709833.77 3833826.75 3600827.08 3459643.47
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.13, N = 3 SE +/- 0.35, N = 3 SE +/- 0.28, N = 3 SE +/- 0.15, N = 3 SE +/- 0.31, N = 3 SE +/- 0.96, N = 3 SE +/- 2.78, N = 3 SE +/- 0.02, N = 3 264.43 265.29 279.87 260.52 213.95 210.33 210.95 216.51 MIN: 262.76 / MAX: 266.47 MIN: 263.01 / MAX: 269.56 MIN: 276.59 / MAX: 286.78 MIN: 259.93 / MAX: 262.27 MIN: 213.3 / MAX: 214.87 MIN: 208.33 / MAX: 211.87 MIN: 205.18 / MAX: 214.05 MIN: 216.35 / MAX: 217.06 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4K 8K 12K 16K 20K SE +/- 77.83, N = 3 SE +/- 10.76, N = 3 SE +/- 51.77, N = 3 SE +/- 285.88, N = 12 SE +/- 28.54, N = 3 SE +/- 48.79, N = 3 SE +/- 104.75, N = 3 SE +/- 20.07, N = 3 17630 16387 18051 18282 20647 15849 15548 20063 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 60 120 180 240 300 123.97 158.20 257.59 151.15
Timed MAFFT Alignment This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.021, N = 6 SE +/- 0.020, N = 6 SE +/- 0.036, N = 5 SE +/- 0.037, N = 5 SE +/- 0.053, N = 3 SE +/- 0.055, N = 3 SE +/- 0.037, N = 3 SE +/- 0.082, N = 3 7.942 8.373 9.655 8.439 8.580 7.304 7.287 8.682 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-sha512 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 600K 1200K 1800K 2400K 3000K SE +/- 6191.15, N = 3 SE +/- 719.67, N = 3 SE +/- 2122.92, N = 3 SE +/- 702.67, N = 3 SE +/- 3040.67, N = 3 SE +/- 18587.74, N = 3 SE +/- 4549.24, N = 3 SE +/- 3515.20, N = 3 2114811 2127649 1963630 2102759 2526696 2594680 2561684 2526699
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 96.05 96.37 102.45 96.16 77.88 80.04 80.82 77.94 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 10 20 30 40 50 SE +/- 0.31, N = 3 SE +/- 0.15, N = 3 SE +/- 0.25, N = 3 SE +/- 0.39, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.20, N = 3 38.63 41.14 44.52 38.05 35.46 35.07 33.87 37.51
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3K 6K 9K 12K 15K SE +/- 7.00, N = 3 SE +/- 6.53, N = 3 SE +/- 2.66, N = 3 SE +/- 5.57, N = 3 SE +/- 11.96, N = 3 SE +/- 4.16, N = 3 SE +/- 49.55, N = 4 SE +/- 45.31, N = 5 10671.3 10495.9 10142.5 10348.4 13303.9 13327.3 13106.2 12829.5 1. (CC) gcc options: -O3 MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 70 140 210 280 350 313.25 292.62 319.25 334.23
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 8 Realtime Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.09, N = 7 SE +/- 0.11, N = 7 SE +/- 0.18, N = 6 SE +/- 0.17, N = 7 SE +/- 0.43, N = 3 SE +/- 1.03, N = 4 SE +/- 0.95, N = 7 SE +/- 0.23, N = 3 113.76 110.06 97.31 103.76 119.06 93.97 106.04 123.40 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 8 Realtime Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.5265 1.053 1.5795 2.106 2.6325 2.15 2.16 2.34 2.19
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 400K 800K 1200K 1600K 2000K SE +/- 1283.83, N = 13 SE +/- 1973.07, N = 13 SE +/- 1551.84, N = 13 SE +/- 3259.51, N = 20 SE +/- 7493.26, N = 5 SE +/- 8489.44, N = 5 SE +/- 5744.77, N = 5 SE +/- 5531.49, N = 5 1721606 1724524 1503928 1650148 1920542 1951878 1971355 1887584 1. (CC) gcc options: -O3 -march=native Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better TSCP 1.81 AI Chess Performance Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 40K 80K 120K 160K 200K 105838.77 101092.20 175069.67 179103.05
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 0.24, N = 3 SE +/- 0.80, N = 2 SE +/- 0.46, N = 3 SE +/- 7.85, N = 3 SE +/- 5.13, N = 3 SE +/- 1.65, N = 3 SE +/- 0.25, N = 2 729.2 728.9 819.8 871.2 937.7 955.4 935.8 919.6
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3K 6K 9K 12K 15K SE +/- 15.97, N = 3 SE +/- 10.02, N = 3 SE +/- 3.57, N = 3 SE +/- 4.75, N = 3 SE +/- 28.58, N = 5 SE +/- 11.79, N = 15 SE +/- 32.71, N = 3 SE +/- 14.19, N = 8 10648.4 10485.7 10146.8 10338.7 13256.6 13259.2 13082.9 12842.4 1. (CC) gcc options: -O3 MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 70 140 210 280 350 312.33 291.63 320.52 333.67
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 0.40, N = 3 SE +/- 0.23, N = 3 SE +/- 0.55, N = 3 SE +/- 0.79, N = 3 SE +/- 7.60, N = 3 SE +/- 7.26, N = 3 SE +/- 1.48, N = 3 SE +/- 4.05, N = 3 728.5 728.9 819.3 870.5 937.5 950.8 936.0 915.3
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 20201218 Target: CPU - Model: alexnet Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.22, N = 4 SE +/- 0.04, N = 14 11.53 11.85 13.04 12.05 11.47 10.00 11.12 11.62 MIN: 11.34 / MAX: 12.05 MIN: 11.73 / MAX: 12.07 MIN: 12.98 / MAX: 13.35 MIN: 11.92 / MAX: 12.24 MIN: 11.35 / MAX: 11.63 MIN: 9.87 / MAX: 10.54 MIN: 10.78 / MAX: 12.18 MIN: 11.43 / MAX: 19.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LibreOffice Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LibreOffice Test: 20 Documents To PDF Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.040, N = 11 SE +/- 0.046, N = 8 SE +/- 0.058, N = 8 SE +/- 0.052, N = 6 SE +/- 0.042, N = 9 SE +/- 0.024, N = 25 SE +/- 0.038, N = 11 SE +/- 0.045, N = 8 5.561 5.537 6.671 6.384 5.122 5.119 5.150 5.196 1. LibreOffice 7.1.2.1 10(Build:1)
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8K 16K 24K 32K 40K SE +/- 35.05, N = 3 SE +/- 10.97, N = 3 SE +/- 20.11, N = 3 SE +/- 24.91, N = 3 SE +/- 33.14, N = 3 SE +/- 32.56, N = 3 SE +/- 27.54, N = 3 SE +/- 6.64, N = 3 34730 38595 34577 31987 29670 33164 34907 30946 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20K 40K 60K 80K 100K SE +/- 242.02, N = 3 SE +/- 20.66, N = 3 SE +/- 190.24, N = 3 SE +/- 85.58, N = 3 SE +/- 125.58, N = 3 SE +/- 69.75, N = 3 SE +/- 35.71, N = 3 SE +/- 80.28, N = 3 89069 99019 87706 83342 76267 84048 89319 79393 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
JPEG XL Decoding The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding 0.3.3 CPU Threads: All Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.47, N = 3 SE +/- 0.27, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 229.83 199.13 177.19 211.29 200.12 215.36 208.78 185.87 MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL Decoding 0.3.3 CPU Threads: All Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.5693 1.1386 1.7079 2.2772 2.8465 1.84 1.90 2.53 2.03
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30M 60M 90M 120M 150M SE +/- 1021670.74, N = 3 SE +/- 98375.70, N = 3 SE +/- 78386.51, N = 3 SE +/- 66666.67, N = 3 SE +/- 638130.95, N = 3 SE +/- 660664.65, N = 3 SE +/- 193247.11, N = 3 SE +/- 376342.04, N = 3 156933333 157266667 121306667 129543333 151366667 151066667 154236667 152640000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid samples/s Per Watt
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 700K 1400K 2100K 2800K 3500K 3095637.30 2837759.61 2626988.50 2659003.63
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 110 220 330 440 550 SE +/- 0.36, N = 3 SE +/- 1.34, N = 3 SE +/- 0.40, N = 3 SE +/- 0.30, N = 3 SE +/- 1.14, N = 3 SE +/- 6.17, N = 3 SE +/- 1.74, N = 3 SE +/- 0.37, N = 3 489.99 479.38 406.34 459.67 516.79 525.06 511.24 509.42 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Numpy Benchmark Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 3 6 9 12 15 9.56 8.59 10.64 10.88
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.2776 2.5552 3.8328 5.1104 6.388 SE +/- 0.016, N = 8 SE +/- 0.012, N = 7 SE +/- 0.014, N = 7 SE +/- 0.021, N = 7 SE +/- 0.025, N = 3 SE +/- 0.034, N = 3 SE +/- 0.025, N = 3 SE +/- 0.042, N = 3 4.750 4.861 5.678 5.338 4.418 4.455 4.442 4.544
Basis Universal Basis Universal is a GPU texture codec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: ETC1S Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 21.40 22.98 25.74 21.33 22.42 20.51 20.06 23.82 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.05, N = 3 SE +/- 0.50, N = 3 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 2.85, N = 3 SE +/- 0.83, N = 3 SE +/- 0.09, N = 3 263.32 267.77 291.57 270.64 229.07 229.70 228.07 227.22 MIN: 261.29 / MAX: 266.44 MIN: 265.11 / MAX: 274.48 MIN: 289.29 / MAX: 297.7 MIN: 270.16 / MAX: 274.11 MIN: 228.5 / MAX: 229.58 MIN: 223.05 / MAX: 260.08 MIN: 220.49 / MAX: 291.47 MIN: 226.63 / MAX: 236.31 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Encryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1200 2400 3600 4800 6000 SE +/- 15.29, N = 3 SE +/- 7.13, N = 3 SE +/- 5.75, N = 3 SE +/- 25.41, N = 3 SE +/- 35.06, N = 3 SE +/- 40.39, N = 3 SE +/- 8.25, N = 3 SE +/- 9.19, N = 3 5407.8 5384.5 4296.7 4543.5 5352.7 5509.7 5356.4 5308.6
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 2.10.22 Test: rotate Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.006, N = 5 SE +/- 0.009, N = 5 SE +/- 0.006, N = 4 SE +/- 0.030, N = 5 SE +/- 0.006, N = 3 SE +/- 0.053, N = 3 SE +/- 0.011, N = 3 SE +/- 0.020, N = 3 9.035 9.051 10.727 10.248 8.500 8.502 8.371 8.668
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MP/s, More Is Better JPEG XL 0.3.3 Input: PNG - Encode Speed: 7 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 10.08 9.67 8.76 10.08 10.78 10.94 11.22 10.02 1. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL 0.3.3 Input: PNG - Encode Speed: 7 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0428 0.0856 0.1284 0.1712 0.214 0.17 0.17 0.19 0.19
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1200 2400 3600 4800 6000 SE +/- 14.15, N = 3 SE +/- 5.12, N = 3 SE +/- 2.14, N = 3 SE +/- 16.91, N = 3 SE +/- 38.23, N = 3 SE +/- 42.96, N = 3 SE +/- 10.38, N = 3 SE +/- 5.66, N = 3 5412.4 5391.4 4300.9 4549.5 5355.1 5508.5 5349.9 5298.8
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.11, N = 4 SE +/- 0.05, N = 4 SE +/- 0.07, N = 4 SE +/- 0.05, N = 4 SE +/- 0.06, N = 4 SE +/- 0.14, N = 4 SE +/- 0.09, N = 4 SE +/- 0.07, N = 4 24.73 24.82 26.96 24.36 21.43 21.07 21.39 21.47 1. (CC) gcc options: -O2 -std=c99
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20M 40M 60M 80M 100M SE +/- 969167.05, N = 3 SE +/- 111013.51, N = 3 SE +/- 12423.10, N = 3 SE +/- 1763.83, N = 3 SE +/- 29059.33, N = 3 SE +/- 521469.82, N = 3 SE +/- 309170.04, N = 3 SE +/- 34401.23, N = 3 81643333 82515000 64526000 69049667 78194667 75855667 78891333 77017333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid samples/s Per Watt
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 500K 1000K 1500K 2000K 2500K 2309516.50 2119777.78 1951055.14 2057030.80
Opus Codec Encoding Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.009, N = 6 SE +/- 0.009, N = 6 SE +/- 0.023, N = 6 SE +/- 0.009, N = 6 SE +/- 0.007, N = 5 SE +/- 0.049, N = 5 SE +/- 0.036, N = 5 SE +/- 0.009, N = 5 7.230 7.221 7.753 7.053 6.134 6.112 6.091 6.261 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.39, N = 3 SE +/- 0.03, N = 3 SE +/- 0.42, N = 3 SE +/- 0.60, N = 10 SE +/- 0.55, N = 15 SE +/- 0.73, N = 3 86.58 95.85 94.37 85.08 80.20 77.00 75.42 84.13 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60M 120M 180M 240M 300M SE +/- 84847.71, N = 3 SE +/- 255795.64, N = 4 SE +/- 29916.79, N = 4 SE +/- 44317.80, N = 3 SE +/- 115501.44, N = 3 SE +/- 60175.34, N = 3 SE +/- 131555.86, N = 3 SE +/- 269678.55, N = 3 259753933 266949100 231779950 213238767 226269800 236594433 210109200 237665667 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi Figure Of Merit Per Watt
OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Algebraic Multi-Grid Benchmark 1.2 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 1.1M 2.2M 3.3M 4.4M 5.5M 3844563.01 5208367.71 4777117.89 2661956.74
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 16 32 48 64 80 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.28, N = 3 SE +/- 0.86, N = 4 SE +/- 0.75, N = 5 64.69 64.21 56.95 60.02 67.96 72.27 69.30 68.48 1. (CC) gcc options: -O3
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1700 3400 5100 6800 8500 SE +/- 14.04, N = 3 SE +/- 46.09, N = 3 SE +/- 36.29, N = 3 SE +/- 12.09, N = 3 SE +/- 20.84, N = 3 SE +/- 39.00, N = 3 SE +/- 22.70, N = 3 SE +/- 21.31, N = 3 7140.1 7621.2 6122.7 6582.0 7748.9 7610.1 7657.1 7414.5 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 50 100 150 200 250 230.81 228.63 182.71 198.07
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MP/s, More Is Better JPEG XL 0.3.3 Input: JPEG - Encode Speed: 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.23, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.34, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 74.95 72.25 63.38 69.70 80.12 76.42 79.96 76.15 1. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL 0.3.3 Input: JPEG - Encode Speed: 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.4388 0.8776 1.3164 1.7552 2.194 1.94 1.80 1.94 1.95
Result
OpenBenchmarking.org MP/s, More Is Better JPEG XL 0.3.3 Input: JPEG - Encode Speed: 7 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.24, N = 4 SE +/- 0.17, N = 4 SE +/- 0.10, N = 3 SE +/- 0.11, N = 4 SE +/- 0.45, N = 3 SE +/- 0.28, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 74.77 72.24 63.22 69.63 79.86 76.68 79.80 75.82 1. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL 0.3.3 Input: JPEG - Encode Speed: 7 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.4568 0.9136 1.3704 1.8272 2.284 1.99 1.85 2.03 2.03
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7K 14K 21K 28K 35K SE +/- 86.26, N = 3 SE +/- 45.50, N = 3 SE +/- 256.39, N = 5 SE +/- 204.59, N = 3 SE +/- 235.24, N = 3 SE +/- 286.16, N = 3 SE +/- 405.27, N = 9 SE +/- 212.27, N = 3 26267 28559 25303 26965 31945 31208 30464 30235 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 200 400 600 800 1000 826.94 859.02 770.40 797.53
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 20201218 Target: CPU - Model: vgg16 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 15 30 45 60 75 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 4 SE +/- 0.07, N = 15 56.10 59.03 66.82 61.69 55.75 53.02 58.85 57.73 MIN: 55.57 / MAX: 58.77 MIN: 58.68 / MAX: 59.72 MIN: 66.64 / MAX: 72.68 MIN: 61.31 / MAX: 68.75 MIN: 55.23 / MAX: 56.32 MIN: 52.26 / MAX: 58.68 MIN: 57.59 / MAX: 60.33 MIN: 56.95 / MAX: 69.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 6.1.1~hg.2021.01.26 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.014, N = 7 SE +/- 0.050, N = 7 SE +/- 0.016, N = 7 SE +/- 0.014, N = 7 SE +/- 0.020, N = 5 SE +/- 0.031, N = 5 SE +/- 0.013, N = 5 SE +/- 0.013, N = 5 5.396 5.587 6.298 5.842 5.025 5.007 5.063 5.419
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 10, Lossless Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.010, N = 7 SE +/- 0.006, N = 7 SE +/- 0.009, N = 7 SE +/- 0.011, N = 7 SE +/- 0.026, N = 3 SE +/- 0.020, N = 3 SE +/- 0.025, N = 3 SE +/- 0.003, N = 3 5.110 5.470 6.078 5.230 5.056 4.938 4.834 5.414 1. (CXX) g++ options: -O3 -fPIC -lm
Cython Benchmark Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 20.44 20.47 21.89 19.85 17.42 17.43 17.70 18.17
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.34, N = 3 SE +/- 0.24, N = 3 SE +/- 0.17, N = 3 SE +/- 0.73, N = 3 83.1 82.8 104.0 97.3 91.1 92.4 89.7 92.7
GNU Radio GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: FM Deemphasis Filter Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.16, N = 3 SE +/- 0.67, N = 9 SE +/- 1.72, N = 9 SE +/- 1.77, N = 3 SE +/- 4.51, N = 3 SE +/- 1.52, N = 9 SE +/- 3.07, N = 9 SE +/- 0.76, N = 9 1082.1 1078.0 863.3 925.2 1080.2 1033.6 1068.0 1073.2 1. 3.8.2.0
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Encryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 0.47, N = 3 SE +/- 0.12, N = 3 SE +/- 0.44, N = 3 SE +/- 0.35, N = 2 SE +/- 7.99, N = 3 SE +/- 5.33, N = 3 SE +/- 1.59, N = 3 SE +/- 0.49, N = 3 775.1 774.5 809.4 862.4 952.7 970.1 951.0 933.9
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 0.63, N = 3 SE +/- 1.50, N = 3 SE +/- 1.55, N = 3 SE +/- 1.71, N = 3 SE +/- 2.11, N = 3 SE +/- 6.44, N = 3 SE +/- 8.32, N = 3 SE +/- 2.06, N = 3 842.1 848.2 977.1 924.3 781.0 799.4 796.4 788.0 1. firefox 86.0
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.
Result
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200K 400K 600K 800K 1000K SE +/- 1616.15, N = 3 SE +/- 1364.88, N = 3 SE +/- 1522.65, N = 3 SE +/- 1283.55, N = 3 SE +/- 2465.89, N = 3 SE +/- 9569.93, N = 3 SE +/- 8198.33, N = 3 SE +/- 5468.84, N = 3 1020215 1012150 853438 943156 827066 827270 825006 815991 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 6K 12K 18K 24K 30K 29844.37 27302.71 26042.59 23987.16
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 50 100 150 200 250 SE +/- 2.19, N = 3 SE +/- 1.67, N = 3 173 192 206 165 194 187 183 201 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lrt -lz
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2M 4M 6M 8M 10M SE +/- 20318.40, N = 3 SE +/- 1517.36, N = 3 SE +/- 4528.12, N = 3 SE +/- 94447.15, N = 3 SE +/- 46121.85, N = 3 SE +/- 27904.56, N = 3 SE +/- 68249.06, N = 3 SE +/- 6381.05, N = 3 10189261 10086355 9327444 10108990 11410503 11543751 11632548 11279724 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Crafty 25.2 Elapsed Time Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 70K 140K 210K 280K 350K 321116.56 283963.84 309216.17 325520.42
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Encryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.42, N = 3 SE +/- 1.44, N = 3 SE +/- 2.10, N = 3 SE +/- 3.33, N = 3 SE +/- 5.85, N = 3 SE +/- 9.23, N = 3 SE +/- 2.58, N = 3 SE +/- 1.70, N = 3 773.5 773.0 807.6 859.7 950.2 963.1 949.2 932.6
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.06, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 6.68 6.22 6.82 6.58 5.48 5.71 5.67 5.63
librsvg RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.06, N = 4 SE +/- 0.03, N = 4 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 16.43 16.30 18.61 17.20 14.98 15.66 15.57 15.12 1. rsvg-convert version 2.50.3
Swet Swet is a synthetic CPU/RAM benchmark, includes multi-processor test cases. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Operations Per Second, More Is Better Swet 1.5.16 Average Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200M 400M 600M 800M 1000M SE +/- 5247803.45, N = 4 SE +/- 9106885.52, N = 4 SE +/- 6860762.58, N = 4 SE +/- 7225465.46, N = 10 SE +/- 13134673.52, N = 3 SE +/- 10488550.19, N = 6 SE +/- 7358308.41, N = 3 SE +/- 11409958.72, N = 3 972646109 971190183 902751556 960496367 1120367072 1119822809 1118298883 1071188925 1. (CC) gcc options: -lm -lpthread -lcurses -lrt Operations Per Second Per Watt
OpenBenchmarking.org Operations Per Second Per Watt, More Is Better Swet 1.5.16 Average Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 8M 16M 24M 32M 40M 35634278.24 33402838.59 37295596.00 39431359.25
Timed Eigen Compilation This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 53.72 54.90 61.72 57.77 50.54 50.27 49.74 51.50
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 2.10.22 Test: auto-levels Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.018, N = 5 SE +/- 0.007, N = 5 SE +/- 0.010, N = 4 SE +/- 0.016, N = 5 SE +/- 0.034, N = 3 SE +/- 0.035, N = 3 SE +/- 0.033, N = 3 SE +/- 0.016, N = 3 9.332 9.377 10.880 10.258 8.776 9.331 9.510 8.978
srsLTE srsLTE is an open-source LTE software radio suite created by Software Radio Systems (SRS). srsLTE can be used for building your own software defined (SDR) LTE mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org eNb Mb/s, More Is Better srsLTE 20.10.1 Test: PHY_DL_Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 80 160 240 320 400 SE +/- 0.70, N = 3 SE +/- 0.19, N = 3 SE +/- 0.80, N = 3 SE +/- 0.49, N = 3 SE +/- 0.17, N = 3 SE +/- 2.60, N = 3 SE +/- 1.58, N = 3 SE +/- 0.55, N = 3 334.1 335.7 291.6 311.1 357.8 361.1 360.3 352.1 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lbladeRF -lm -lfftw3f -lmbedcrypto
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 15 30 45 60 75 SE +/- 0.54, N = 7 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 57.47 58.30 68.77 64.74 55.66 57.97 62.41 56.51 -msha -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mmpx -msha -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mmpx -mmpx -mmpx -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.30, N = 7 SE +/- 0.64, N = 7 SE +/- 0.40, N = 7 SE +/- 0.16, N = 7 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 1.47, N = 3 SE +/- 0.10, N = 3 235.14 234.91 219.77 235.46 265.05 271.20 267.62 262.05 1. (CC) gcc options: -O3 -rdynamic Megapixels/sec Per Watt
OpenBenchmarking.org Megapixels/sec Per Watt, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 3 6 9 12 15 9.10 8.47 10.39 10.90
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MP/s, More Is Better JPEG XL 0.3.3 Input: PNG - Encode Speed: 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.25, N = 3 SE +/- 0.31, N = 3 SE +/- 0.15, N = 3 SE +/- 0.30, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 74.80 72.22 60.67 68.85 72.90 72.33 71.85 68.85 1. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL 0.3.3 Input: PNG - Encode Speed: 5 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.2835 0.567 0.8505 1.134 1.4175 1.17 1.17 1.26 1.07
LuaRadio LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: FM Deemphasis Filter Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 120 240 360 480 600 SE +/- 0.26, N = 3 SE +/- 0.55, N = 3 SE +/- 0.40, N = 3 SE +/- 5.15, N = 3 SE +/- 0.41, N = 3 SE +/- 0.32, N = 3 SE +/- 3.06, N = 3 SE +/- 0.96, N = 3 546.8 548.4 528.1 556.9 464.6 451.8 459.7 456.8
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.21 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 27.85, N = 3 SE +/- 15.38, N = 3 SE +/- 18.44, N = 3 SE +/- 24.68, N = 3 SE +/- 25.63, N = 3 SE +/- 29.07, N = 3 SE +/- 18.38, N = 3 SE +/- 11.81, N = 3 3326.4 3294.0 2699.6 2978.1 3168.4 3124.8 3210.9 3123.4 1. (CXX) g++ options: -O3 -march=native -rdynamic MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.21 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 20 40 60 80 100 65.98 64.65 80.66 74.39
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.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: Kostya Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.8483 1.6966 2.5449 3.3932 4.2415 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 3.60 3.60 3.06 3.22 3.64 3.72 3.77 3.65 1. (CXX) g++ options: -O3 -pthread GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.8.2 Throughput Test: Kostya Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0225 0.045 0.0675 0.09 0.1125 0.10 0.09 0.09 0.09
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as 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 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.13, N = 6 SE +/- 0.18, N = 6 SE +/- 0.21, N = 6 SE +/- 0.11, N = 6 SE +/- 0.27, N = 3 SE +/- 0.24, N = 3 SE +/- 0.28, N = 3 SE +/- 0.02, N = 3 26.46 26.60 29.98 27.82 24.84 24.36 24.86 25.53 1. chrome 89.0.4389.90
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 800 1600 2400 3200 4000 SE +/- 20.81, N = 20 SE +/- 7.48, N = 8 SE +/- 15.99, N = 7 SE +/- 13.24, N = 8 SE +/- 8.52, N = 4 SE +/- 15.57, N = 4 SE +/- 13.72, N = 4 SE +/- 9.12, N = 4 3225 3162 3671 3325 3032 3052 2986 3113
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 10 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.788 1.576 2.364 3.152 3.94 SE +/- 0.005, N = 10 SE +/- 0.006, N = 9 SE +/- 0.008, N = 9 SE +/- 0.007, N = 9 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 2.853 3.064 3.502 2.997 2.975 2.922 2.926 3.194 1. (CXX) g++ options: -O3 -fPIC -lm
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.22 Test: unsharp-mask Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 11.16 11.03 12.68 12.46 10.37 11.64 12.04 10.45
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.75, N = 5 SE +/- 0.56, N = 15 SE +/- 0.23, N = 3 SE +/- 0.62, N = 8 65.95 65.62 58.63 61.46 70.62 71.66 69.58 69.85 1. (CC) gcc options: -O3
WavPack Audio Encoding This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.3 WAV To WavPack Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.00, N = 5 SE +/- 0.00, N = 5 SE +/- 0.02, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.03, N = 5 SE +/- 0.03, N = 5 SE +/- 0.00, N = 5 13.21 13.20 13.61 12.71 11.17 11.48 11.31 11.54 1. (CXX) g++ options: -rdynamic
Unpacking Firefox This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.03, N = 4 SE +/- 0.03, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.00, N = 4 SE +/- 0.05, N = 4 SE +/- 0.07, N = 4 SE +/- 0.01, N = 4 14.77 14.85 16.16 15.16 13.51 13.55 13.31 13.64
JPEG XL Decoding The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding 0.3.3 CPU Threads: 1 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 13 26 39 52 65 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 56.62 55.65 46.64 49.40 51.49 53.18 52.83 51.24 MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL Decoding 0.3.3 CPU Threads: 1 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.3105 0.621 0.9315 1.242 1.5525 1.22 1.12 1.34 1.38
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.006, N = 6 SE +/- 0.005, N = 6 SE +/- 0.012, N = 6 SE +/- 0.012, N = 6 SE +/- 0.020, N = 5 SE +/- 0.067, N = 5 SE +/- 0.014, N = 5 SE +/- 0.001, N = 5 7.109 7.107 7.629 7.048 6.310 6.333 6.337 6.462 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
srsLTE srsLTE is an open-source LTE software radio suite created by Software Radio Systems (SRS). srsLTE can be used for building your own software defined (SDR) LTE mobile network. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org UE Mb/s, More Is Better srsLTE 20.10.1 Test: PHY_DL_Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.75, N = 3 SE +/- 0.21, N = 3 SE +/- 0.62, N = 3 SE +/- 0.38, N = 3 SE +/- 0.87, N = 3 131.3 132.5 109.6 116.7 128.1 128.5 128.2 125.5 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lbladeRF -lm -lfftw3f -lmbedcrypto UE Mb/s Per Watt
OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsLTE 20.10.1 Test: PHY_DL_Test Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.8055 1.611 2.4165 3.222 4.0275 2.94 2.47 3.40 3.58
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 Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.01, N = 4 SE +/- 0.05, N = 4 SE +/- 0.00, N = 4 SE +/- 0.04, N = 4 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 15.30 15.54 15.22 15.00 12.96 13.20 12.88 13.31 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Perl Benchmarks Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.0234 0.0468 0.0702 0.0936 0.117 SE +/- 0.00015314, N = 3 SE +/- 0.00042292, N = 3 SE +/- 0.00022919, N = 3 SE +/- 0.00062649, N = 3 SE +/- 0.00059517, N = 3 SE +/- 0.00056577, N = 15 SE +/- 0.00098376, N = 3 SE +/- 0.00051848, N = 3 0.08675548 0.08624188 0.10403651 0.09920753 0.08837708 0.09271903 0.08976200 0.09162058
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.16, N = 6 SE +/- 0.22, N = 15 SE +/- 0.22, N = 10 SE +/- 0.11, N = 6 SE +/- 0.23, N = 3 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.06, N = 3 25.2 25.8 28.7 26.6 24.5 24.2 23.8 24.3 1. firefox 86.0
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 20201218 Target: CPU - Model: resnet18 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 4 SE +/- 0.08, N = 15 12.87 13.70 15.44 13.51 12.85 12.82 14.39 12.90 MIN: 12.66 / MAX: 13.69 MIN: 13.54 / MAX: 13.92 MIN: 15.28 / MAX: 15.66 MIN: 13.25 / MAX: 14.76 MIN: 12.71 / MAX: 13.27 MIN: 12.62 / MAX: 13.08 MIN: 14.13 / MAX: 22.11 MIN: 12.44 / MAX: 22.14 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Tesseract OCR Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 18.37 18.51 20.29 18.99 16.96 18.75 18.73 17.48
BLAKE2 This is a benchmark of BLAKE2 using the blake2s binary. BLAKE2 is a high-performance crypto alternative to MD5 and SHA-2/3. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Cycles Per Byte, Fewer Is Better BLAKE2 20170307 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.1205 2.241 3.3615 4.482 5.6025 SE +/- 0.01, N = 15 SE +/- 0.01, N = 15 SE +/- 0.02, N = 15 SE +/- 0.00, N = 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 4.44 4.93 4.91 4.17 4.89 4.93 4.30 4.98 1. (CC) gcc options: -O3 -march=native -lcrypto -lz
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 17.8 17.9 20.7 19.4 17.7 17.5 17.4 17.9
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as 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 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 5.78, N = 3 SE +/- 7.02, N = 3 SE +/- 11.59, N = 3 SE +/- 21.94, N = 3 SE +/- 1.86, N = 3 SE +/- 15.86, N = 3 SE +/- 8.95, N = 3 SE +/- 9.64, N = 3 2823 2857 3237 3061 2722 2783 2790 2891 1. chrome 89.0.4389.90
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 2D Function Plotting, 1000 Times Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.50, N = 3 SE +/- 0.18, N = 3 SE +/- 0.51, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 SE +/- 1.03, N = 3 SE +/- 1.20, N = 7 SE +/- 0.08, N = 3 76.99 77.67 91.52 85.92 85.48 87.05 87.68 87.76
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: ARES-6 - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 10 20 30 40 50 SE +/- 0.14, N = 3 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.53, N = 3 SE +/- 0.47, N = 4 SE +/- 0.42, N = 3 SE +/- 0.08, N = 3 38.25 37.91 42.60 40.03 42.35 43.18 43.79 44.99 1. firefox 86.0
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.83, N = 3 SE +/- 0.27, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 73.0 72.7 85.7 79.8 78.8 77.5 76.7 79.8
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.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: LargeRandom Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 0.2835 0.567 0.8505 1.134 1.4175 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.21 1.21 1.07 1.13 1.23 1.26 1.26 1.23 1. (CXX) g++ options: -O3 -pthread GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.8.2 Throughput Test: LargeRandom Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0068 0.0136 0.0204 0.0272 0.034 0.03 0.03 0.03 0.03
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 34.8 34.8 40.7 38.6 34.9 34.7 35.0 35.2
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.38, N = 4 SE +/- 1.29, N = 4 SE +/- 1.67, N = 3 SE +/- 1.00, N = 3 SE +/- 4.04, N = 3 SE +/- 3.67, N = 3 SE +/- 5.03, N = 3 SE +/- 3.53, N = 3 714 713 832 752 737 738 738 734
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 42.88 43.02 47.90 44.79 41.33 41.89 41.06 41.91
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 12.7 12.7 14.8 14.2 12.7 12.8 12.7 12.8
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 231 234 269 257 233 234 231 236
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.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: PartialTweets Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.179 2.358 3.537 4.716 5.895 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 5.21 5.24 4.50 4.74 5.08 4.95 5.11 4.97 1. (CXX) g++ options: -O3 -pthread GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.8.2 Throughput Test: PartialTweets Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0315 0.063 0.0945 0.126 0.1575 0.14 0.12 0.12 0.13
SQLite Speedtest This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 44.97 46.07 50.09 46.41 43.48 43.08 43.35 43.85 1. (CC) gcc options: -O2 -ldl -lz -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.9 Compression Level: 19 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 900 1800 2700 3600 4500 SE +/- 5.16, N = 3 SE +/- 2.65, N = 3 SE +/- 4.10, N = 3 SE +/- 5.48, N = 3 SE +/- 42.10, N = 3 SE +/- 32.26, N = 3 SE +/- 23.35, N = 3 SE +/- 18.90, N = 3 4399.4 4317.7 3794.0 4045.7 4204.8 4261.0 4318.7 4179.8 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.9 Compression Level: 19 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 20 40 60 80 100 87.73 93.72 76.93 60.05
Optcarrot Optcarrot is an NES emulator benchmark for the Ruby language. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better Optcarrot Optimized Benchmark Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.28, N = 12 SE +/- 0.74, N = 12 SE +/- 0.58, N = 11 SE +/- 0.26, N = 12 SE +/- 0.47, N = 4 SE +/- 0.93, N = 4 SE +/- 1.91, N = 4 SE +/- 0.41, N = 4 186.70 185.57 163.31 175.27 161.26 163.27 161.08 161.49 1. ruby 2.7.2p137 (2020-10-01 revision 5445e04352) [x86_64-linux-gnu] FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better Optcarrot Optimized Benchmark Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 4 8 12 16 20 9.64 9.18 13.33 13.82
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.013, N = 6 SE +/- 0.013, N = 6 SE +/- 0.021, N = 6 SE +/- 0.020, N = 6 SE +/- 0.064, N = 3 SE +/- 0.059, N = 3 SE +/- 0.043, N = 3 SE +/- 0.029, N = 3 6.474 6.522 7.481 7.121 6.530 6.462 6.468 6.481
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.70, N = 3 SE +/- 0.33, N = 3 SE +/- 1.02, N = 3 SE +/- 0.53, N = 3 SE +/- 0.59, N = 3 SE +/- 1.19, N = 3 SE +/- 0.84, N = 10 SE +/- 0.20, N = 3 107.97 116.91 114.95 102.56 101.06 109.37 109.20 103.68 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 80 160 240 320 400 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 305 306 349 328 322 327 319 325
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.39, N = 3 SE +/- 0.26, N = 3 SE +/- 0.23, N = 3 SE +/- 0.25, N = 3 75.1 75.2 85.9 80.6 78.8 79.1 77.8 82.0
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.9 Compression Level: 8 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1000 2000 3000 4000 5000 SE +/- 0.91, N = 3 SE +/- 7.25, N = 3 SE +/- 16.90, N = 3 SE +/- 32.14, N = 3 SE +/- 26.91, N = 3 SE +/- 32.76, N = 3 SE +/- 29.74, N = 3 SE +/- 25.57, N = 3 4772.2 4726.6 4173.1 4420.7 4635.3 4663.7 4676.4 4540.9 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.9 Compression Level: 8 - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 30 60 90 120 150 133.39 134.37 104.27 83.23
dcraw This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.48, N = 3 SE +/- 0.01, N = 3 31.06 31.08 33.53 31.26 35.18 35.14 34.69 35.45 1. (CC) gcc options: -lm
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 29.53 30.00 33.69 30.84 29.92 30.05 29.77 30.86
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.44, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 82.1 83.5 92.5 84.8 81.1 81.1 81.1 82.7
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 10 20 30 40 50 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.01, N = 3 40.98 41.19 43.01 40.80 38.11 38.64 37.79 38.72 1. git version 2.30.2
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.9 Compression Level: 19, Long Mode - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 900 1800 2700 3600 4500 SE +/- 5.02, N = 3 SE +/- 2.49, N = 3 SE +/- 5.61, N = 3 SE +/- 21.07, N = 3 SE +/- 41.47, N = 3 SE +/- 25.96, N = 3 SE +/- 32.49, N = 3 SE +/- 8.69, N = 3 4300.2 4210.7 3796.5 4018.3 4282.2 4312.1 4316.6 4195.5 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.9 Compression Level: 19, Long Mode - Decompression Speed Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 20 40 60 80 100 81.58 92.96 78.02 57.86
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.51, N = 3 SE +/- 0.40, N = 3 SE +/- 0.33, N = 3 SE +/- 1.27, N = 3 SE +/- 0.52, N = 3 SE +/- 0.80, N = 3 SE +/- 0.65, N = 3 SE +/- 1.13, N = 3 102.36 99.54 90.10 95.86 96.87 96.70 97.37 97.25 1. firefox 86.0 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.6345 1.269 1.9035 2.538 3.1725 2.79 2.58 2.82 2.77
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.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: DistinctUserID Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 1.2713 2.5426 3.8139 5.0852 6.3565 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 5.63 5.65 5.03 5.29 5.37 5.30 5.47 5.25 1. (CXX) g++ options: -O3 -pthread GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.8.2 Throughput Test: DistinctUserID Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.0338 0.0676 0.1014 0.1352 0.169 0.15 0.14 0.14 0.14
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Composite Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 400 800 1200 1600 2000 SE +/- 1.31, N = 3 SE +/- 2.14, N = 3 SE +/- 6.32, N = 3 SE +/- 7.55, N = 3 SE +/- 3.35, N = 3 SE +/- 1.15, N = 3 SE +/- 4.14, N = 3 SE +/- 0.19, N = 3 1868.38 1812.26 1714.31 1866.74 1921.32 1873.67 1918.80 1893.14 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better LuaJIT 2.1-git Test: Composite Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 13 26 39 52 65 58.66 55.09 57.54 57.12
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 110 220 330 440 550 SE +/- 0.25, N = 2 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.17, N = 3 SE +/- 4.48, N = 3 SE +/- 2.63, N = 3 SE +/- 0.89, N = 3 SE +/- 0.26, N = 3 488.1 487.9 473.4 503.6 514.1 525.1 515.0 509.9
Result
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 110 220 330 440 550 SE +/- 0.20, N = 2 SE +/- 0.15, N = 2 SE +/- 0.20, N = 3 SE +/- 0.23, N = 3 SE +/- 4.49, N = 3 SE +/- 2.50, N = 3 SE +/- 0.81, N = 3 SE +/- 0.20, N = 3 487.8 487.7 473.8 503.3 513.8 524.9 514.8 509.7 MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Cryptsetup Twofish-XTS 512b Decryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 4 8 12 16 20 13.44 12.54 12.72 14.04
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 0.58, N = 3 SE +/- 3.21, N = 3 SE +/- 4.91, N = 3 SE +/- 37.18, N = 3 SE +/- 4.93, N = 3 SE +/- 18.45, N = 3 SE +/- 15.76, N = 3 SE +/- 7.51, N = 3 2776 2817 3030 2896 2819 2838 2812 2853 1. firefox 86.0
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Encryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 110 220 330 440 550 SE +/- 0.50, N = 3 SE +/- 0.38, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 4.38, N = 3 SE +/- 2.57, N = 3 SE +/- 0.85, N = 3 SE +/- 0.12, N = 3 487.9 487.3 472.5 502.2 504.2 515.0 505.3 500.7
OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Encryption Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X Ryzen 5 5600X 110 220 330 440 550 SE +/- 0.55, N = 3 SE +/- 0.52, N = 3 SE +/- 1.58, N = 3 SE +/- 1.89, N = 3 SE +/- 3.76, N = 3 SE +/- 3.03, N = 3 SE +/- 1.47, N = 3 SE +/- 1.36, N = 3 487.3 486.6 471.8 501.0 503.2 514.1 504.6 498.7
Selenium OpenBenchmarking.org Runs / Minute Per Watt, More Is Better Selenium Benchmark: StyleBench - Browser: Firefox Core i9 11900K Core i5 11600K Core i5 10600K Core i9 10900K 0.8483 1.6966 2.5449 3.3932 4.2415 3.27 3.45 3.60 3.77
Ryzen 5 5600X Processor: AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 March 2021 17:59 by user ronix.
Ryzen 9 5950X Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 16 March 2021 20:51 by user ronix.
Ryzen 9 5900X Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --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 schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 17 March 2021 20:40 by user ronix.
Ryzen 7 5800X Processor: AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --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 schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 18 March 2021 20:14 by user ronix.
Core i9 10900K Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F20d BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 2.4.3Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 20 March 2021 18:16 by user ronix.
Core i5 10600K Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F20d BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 2.4.3Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 March 2021 20:04 by user ronix.
Core i5 11600K Processor: Intel Core i5-11600K @ 4.90GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0610 BIOS), Chipset: Intel Device 43ef, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x39 - Thermald 2.4.3Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 23 March 2021 20:25 by user ronix.
Core i9 11900K Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0610 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210312, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: DEBUGINFOD_URLS=Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x39 - Thermald 2.4.3Java Notes: OpenJDK Runtime Environment (build 11.0.11-ea+4-Ubuntu-0ubuntu2)Python Notes: Python 3.9.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 March 2021 15:27 by user ronix.