AMD Ryzen 7 5800X initial Linux benchmarks by Michael Larabel for a future article.
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.010830, N = 3 SE +/- 0.042599, N = 3 SE +/- 0.031404, N = 3 SE +/- 0.031737, N = 8 SE +/- 0.046914, N = 7 SE +/- 0.056961, N = 3 SE +/- 0.064485, N = 15 SE +/- 0.063332, N = 3 SE +/- 0.045288, N = 3 SE +/- 0.081541, N = 3 SE +/- 0.129211, N = 3 2.740891 5.303240 2.285211 3.004623 4.167965 4.236534 5.476733 4.019649 5.205028 7.431249 9.065396 1. (CC) gcc options: -O3 -march=native -fopenmp
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 108.06 59.61 90.23 65.34 46.74 45.82 33.84 70.74 54.36 37.54 29.55 1. (CXX) g++ options: -fopenmp -O2 -march=native
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8K 16K 24K 32K 40K SE +/- 1.20, N = 3 SE +/- 35.89, N = 3 SE +/- 8.45, N = 3 SE +/- 22.65, N = 3 SE +/- 49.65, N = 3 SE +/- 62.78, N = 3 SE +/- 35.59, N = 3 SE +/- 10.67, N = 3 SE +/- 27.14, N = 3 SE +/- 53.48, N = 3 SE +/- 100.07, N = 3 13022 23591 10481 14494 20244 20729 28096 16301 21344 30214 38305 -lgmp -lgmp -lgmp 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 16K 32K 48K 64K 80K SE +/- 7.26, N = 3 SE +/- 14.95, N = 3 SE +/- 13.11, N = 3 SE +/- 22.25, N = 3 SE +/- 45.94, N = 3 SE +/- 14.11, N = 3 SE +/- 24.81, N = 3 SE +/- 21.62, N = 3 SE +/- 29.84, N = 3 SE +/- 55.59, N = 3 SE +/- 44.40, N = 3 25302.45 45909.65 22344.15 30745.61 42773.97 43919.31 58788.47 32451.25 44048.30 61777.85 74570.42 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 SE +/- 0.014, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 18.759 10.353 18.012 12.999 9.245 9.068 6.704 13.436 10.272 7.206 5.655 1. (CC) gcc options: -static -fopenmp -O3 -march=native
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 800K 1600K 2400K 3200K 4000K SE +/- 2574.96, N = 3 SE +/- 151.69, N = 3 SE +/- 752.71, N = 3 SE +/- 651.16, N = 3 SE +/- 594.04, N = 3 SE +/- 568.71, N = 3 SE +/- 289.04, N = 3 SE +/- 979.40, N = 3 SE +/- 333.18, N = 3 SE +/- 569.48, N = 3 SE +/- 427.88, N = 3 3938063 2139593 3356693 2351497 1795013 1761010 1288407 2946000 2159383 1598013 1212237
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40K 80K 120K 160K 200K SE +/- 52.68, N = 3 SE +/- 153.73, N = 3 SE +/- 32.84, N = 3 SE +/- 54.42, N = 3 SE +/- 43.17, N = 3 SE +/- 28.10, N = 3 SE +/- 58.97, N = 3 SE +/- 28.62, N = 3 SE +/- 38.40, N = 3 SE +/- 47.41, N = 3 SE +/- 43.98, N = 3 202481.0 114230.0 171301.0 120735.0 93903.6 92214.2 66530.3 150133.0 110856.0 83458.7 62588.7
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 900K 1800K 2700K 3600K 4500K SE +/- 2267.19, N = 3 SE +/- 212.21, N = 3 SE +/- 2496.69, N = 3 SE +/- 1145.44, N = 3 SE +/- 793.87, N = 3 SE +/- 699.74, N = 3 SE +/- 902.45, N = 3 SE +/- 515.65, N = 3 SE +/- 223.68, N = 3 SE +/- 185.20, N = 3 SE +/- 792.49, N = 3 4350823 2372930 3713107 2600840 1999070 1961940 1432403 3267580 2391460 1780380 1346957
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 94.60 52.13 82.44 60.02 42.89 42.03 31.33 71.90 54.86 37.78 30.22 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: SqueezeNet Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60K 120K 180K 240K 300K SE +/- 9.85, N = 3 SE +/- 7.51, N = 3 SE +/- 12.72, N = 3 SE +/- 92.04, N = 3 SE +/- 17.57, N = 3 SE +/- 149.12, N = 3 SE +/- 47.83, N = 3 SE +/- 81.10, N = 3 SE +/- 51.27, N = 3 SE +/- 69.62, N = 3 SE +/- 64.29, N = 3 296354.0 167595.0 251199.0 180202.0 138101.0 135602.0 100527.0 220801.0 165819.0 123127.0 94678.2
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 500K 1000K 1500K 2000K 2500K SE +/- 620.08, N = 3 SE +/- 10837.18, N = 3 SE +/- 390.65, N = 3 SE +/- 1317.78, N = 3 SE +/- 1201.85, N = 3 SE +/- 1666.67, N = 3 SE +/- 9609.02, N = 3 SE +/- 1193.14, N = 3 SE +/- 1666.67, N = 3 SE +/- 2027.59, N = 3 SE +/- 577.35, N = 3 752998 1331333 724083 991599 1366667 1413667 1868000 963686 1297667 1840667 2226000 -lgmp -lgmp -lgmp 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60 120 180 240 300 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.24, N = 3 SE +/- 0.49, N = 3 SE +/- 0.73, N = 3 SE +/- 0.15, N = 3 SE +/- 0.44, N = 3 SE +/- 1.28, N = 3 SE +/- 0.05, N = 3 114.36 192.75 94.03 128.78 177.75 182.97 236.58 125.94 168.42 233.83 286.17 MIN: 1 / MAX: 458 MIN: 1 / MAX: 767 MIN: 1 / MAX: 339 MIN: 1 / MAX: 463 MIN: 1 / MAX: 634 MIN: 1 / MAX: 652 MIN: 1 / MAX: 853 MIN: 1 / MAX: 503 MIN: 1 / MAX: 670 MIN: 1 / MAX: 918 MIN: 1 / MAX: 1102
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 2.0 Preset: Exhaustive Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 70 140 210 280 350 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.37, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 306.90 170.21 274.19 199.87 145.09 140.27 105.63 231.33 170.39 121.94 101.25 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40K 80K 120K 160K 200K SE +/- 26.52, N = 3 SE +/- 268.60, N = 3 SE +/- 18.84, N = 3 SE +/- 113.90, N = 3 SE +/- 68.68, N = 3 SE +/- 14.97, N = 3 SE +/- 29.88, N = 3 SE +/- 45.21, N = 3 SE +/- 38.44, N = 3 SE +/- 56.67, N = 3 SE +/- 45.89, N = 3 205404.0 117619.0 175736.0 123482.0 96280.2 94517.0 68497.9 164490.0 122169.0 91290.4 67914.5
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 1.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.56, N = 3 SE +/- 0.49, N = 3 SE +/- 0.20, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 198.11 109.47 180.78 133.84 103.71 100.55 79.70 146.32 108.67 80.39 66.15 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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 70 140 210 280 350 SE +/- 0.79, N = 3 SE +/- 0.85, N = 3 SE +/- 0.13, N = 3 SE +/- 0.27, N = 3 SE +/- 0.07, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 SE +/- 0.41, N = 3 SE +/- 0.13, N = 3 306.48 170.15 309.61 227.00 164.71 159.41 120.53 231.62 168.86 123.34 103.62 1. (CXX) g++ options: -O2 -lOpenCL
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 2.0 Preset: Thorough Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 38.01 21.31 34.37 25.13 18.39 17.81 13.55 28.89 21.37 15.41 12.85 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.02430, N = 3 SE +/- 0.01117, N = 3 SE +/- 0.02579, N = 3 SE +/- 0.06515, N = 15 SE +/- 0.03302, N = 3 SE +/- 0.00634, N = 3 SE +/- 0.00820, N = 3 SE +/- 0.01194, N = 3 SE +/- 0.00626, N = 3 SE +/- 0.00462, N = 3 SE +/- 0.00617, N = 3 5.45967 2.96253 6.59016 4.48876 3.26437 3.15304 2.47606 4.92077 3.53951 2.72467 2.27610 MIN: 5.25 MIN: 2.92 MIN: 6.32 MIN: 4.22 MIN: 3.14 MIN: 3.08 MIN: 2.42 MIN: 4.73 MIN: 3.44 MIN: 2.66 MIN: 2.2 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7K 14K 21K 28K 35K SE +/- 22.70, N = 3 SE +/- 95.40, N = 3 SE +/- 45.92, N = 3 SE +/- 50.98, N = 3 SE +/- 51.29, N = 3 SE +/- 54.08, N = 3 SE +/- 105.68, N = 3 SE +/- 53.82, N = 3 SE +/- 9.94, N = 3 SE +/- 55.57, N = 3 SE +/- 90.96, N = 3 11261 19765 11409 15422 20910 21517 28416 14310 18824 26420 32561
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.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 9 Total Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 12M 24M 36M 48M 60M SE +/- 21979.47, N = 3 SE +/- 66368.72, N = 3 SE +/- 72350.39, N = 3 SE +/- 154542.53, N = 3 SE +/- 69587.97, N = 3 SE +/- 140100.66, N = 3 SE +/- 127032.63, N = 3 SE +/- 136771.99, N = 3 SE +/- 96227.67, N = 3 SE +/- 241698.18, N = 3 SE +/- 325858.19, N = 3 19653079 35726813 20871771 27808441 38124311 38915395 52407367 24584351 32520319 45601255 56742350 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.057, N = 3 SE +/- 0.013, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.019, N = 3 SE +/- 0.022, N = 3 14.204 7.905 13.517 9.847 7.092 6.944 5.200 11.606 8.845 6.160 4.937 1. (CXX) g++ options: -fopenmp -O3
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.1152, N = 3 SE +/- 0.0304, N = 3 SE +/- 0.0234, N = 3 SE +/- 0.0316, N = 3 SE +/- 0.0177, N = 3 SE +/- 0.0220, N = 3 SE +/- 0.1561, N = 3 SE +/- 0.1142, N = 3 SE +/- 0.0349, N = 3 SE +/- 0.0395, N = 3 SE +/- 0.1054, N = 3 9.7946 17.7041 8.3025 11.0482 14.9594 15.2873 19.8746 10.3912 13.8435 19.4679 23.7842 MIN: 9.48 / MAX: 10.12 MIN: 17.49 / MAX: 18.13 MIN: 8.23 / MAX: 8.46 MIN: 10.81 / MAX: 11.32 MIN: 14.82 / MAX: 15.29 MIN: 15.12 / MAX: 15.64 MIN: 19.42 / MAX: 20.41 MIN: 9.88 / MAX: 10.68 MIN: 13.69 / MAX: 14.23 MIN: 19.24 / MAX: 19.87 MIN: 23.34 / MAX: 24.54
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.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.8078 1.6156 2.4234 3.2312 4.039 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 1.26 2.21 1.33 1.80 2.40 2.50 3.29 1.61 2.11 2.93 3.59 MIN: 1.22 / MAX: 1.28 MIN: 2.12 / MAX: 2.33 MIN: 1.26 / MAX: 1.37 MIN: 1.72 / MAX: 1.86 MIN: 2.29 / MAX: 2.49 MIN: 2.39 / MAX: 2.58 MIN: 3.15 / MAX: 3.44 MIN: 1.53 / MAX: 1.65 MIN: 2 / MAX: 2.2 MIN: 2.79 / MAX: 3.06 MIN: 3.43 / MAX: 3.83
BRL-CAD BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60K 120K 180K 240K 300K 101498 183810 93929 131827 183744 188522 248077 116652 162272 215925 267071 -lXi -lXi -lXi -lXi -lXi -lXi -lXi -lXi -lXi -lXi 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
Basis Universal Basis Universal is a GPU texture codoec. 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 1.12 Settings: UASTC Level 3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 80.08 46.54 73.83 54.97 41.27 40.67 31.65 60.73 46.74 33.80 28.26 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.0261, N = 3 SE +/- 0.0182, N = 3 SE +/- 0.0259, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.0537, N = 3 SE +/- 0.0477, N = 3 SE +/- 0.0376, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.0933, N = 3 SE +/- 0.1287, N = 3 SE +/- 0.1569, N = 3 8.5744 15.4247 8.6544 11.5679 15.6590 16.0926 21.0440 10.6691 14.1771 19.9229 24.2757 MIN: 8.48 / MAX: 8.74 MIN: 14.96 / MAX: 15.79 MIN: 8.58 / MAX: 8.85 MIN: 11.44 / MAX: 11.85 MIN: 15.48 / MAX: 16.06 MIN: 15.89 / MAX: 16.56 MIN: 20.83 / MAX: 21.49 MIN: 10.59 / MAX: 10.83 MIN: 13.98 / MAX: 14.61 MIN: 19.53 / MAX: 20.41 MIN: 23.87 / MAX: 25.12
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60 120 180 240 300 SE +/- 0.45, N = 3 SE +/- 0.98, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 288.99 162.99 271.38 200.06 146.60 141.23 107.97 233.69 176.14 124.61 102.26
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 150 269 157 215 298 301 407 176 228 330 420 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 140 280 420 560 700 SE +/- 1.21, N = 3 SE +/- 0.66, N = 3 SE +/- 0.62, N = 3 SE +/- 0.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.50, N = 3 SE +/- 0.36, N = 3 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 631.26 352.16 596.32 433.37 317.03 303.72 230.94 525.71 396.77 277.96 226.15
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 1.56, N = 4 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.87, N = 3 SE +/- 1.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.47, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 120.64 65.98 117.56 87.94 73.97 60.12 46.37 99.66 73.42 52.36 43.46 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 28.49 18.34 27.16 22.29 13.60 13.29 10.82 21.28 17.10 12.17 10.27 1. (CXX) g++ options: -O2 -lOpenCL
asmFish This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 13M 26M 39M 52M 65M SE +/- 67429.43, N = 3 SE +/- 439150.46, N = 3 SE +/- 31310.34, N = 3 SE +/- 148329.91, N = 3 SE +/- 139565.35, N = 3 SE +/- 457800.10, N = 3 SE +/- 711272.98, N = 4 SE +/- 238676.97, N = 3 SE +/- 119860.92, N = 3 SE +/- 623050.05, N = 3 SE +/- 122568.73, N = 3 22294478 40392459 21747154 29158077 38836873 40082309 52929484 27275192 35098629 49348712 59943519
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.01150, N = 3 SE +/- 0.01251, N = 3 SE +/- 0.02845, N = 3 SE +/- 0.01889, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.08565, N = 14 SE +/- 0.00924, N = 3 SE +/- 0.00390, N = 3 SE +/- 0.00400, N = 3 SE +/- 0.01327, N = 3 SE +/- 0.00273, N = 3 8.89984 5.14603 10.43780 7.58343 5.80923 5.79338 4.38473 7.46449 5.69163 4.68310 3.78827 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
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.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 3.93 6.80 4.50 5.96 7.37 7.56 10.26 5.16 6.79 8.47 10.80 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.8573 1.7146 2.5719 3.4292 4.2865 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.40 2.46 1.42 1.93 2.64 2.73 3.64 1.67 2.27 3.13 3.81 MIN: 1.37 / MAX: 1.45 MIN: 2.39 / MAX: 2.52 MIN: 1.38 / MAX: 1.47 MIN: 1.89 / MAX: 1.98 MIN: 2.59 / MAX: 2.68 MIN: 2.68 / MAX: 2.76 MIN: 3.55 / MAX: 3.67 MIN: 1.62 / MAX: 1.73 MIN: 2.21 / MAX: 2.36 MIN: 3.07 / MAX: 3.18 MIN: 3.73 / MAX: 3.9
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.00733, N = 3 SE +/- 0.01244, N = 3 SE +/- 0.02071, N = 3 SE +/- 0.02615, N = 3 SE +/- 0.01161, N = 3 SE +/- 0.01628, N = 3 SE +/- 0.00557, N = 3 SE +/- 0.01067, N = 3 SE +/- 0.01169, N = 3 SE +/- 0.01483, N = 3 SE +/- 0.00440, N = 3 12.23220 7.00728 13.51140 9.87930 7.42195 7.24960 5.61440 10.25030 7.65881 5.95664 4.96614 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, 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 35.68 20.07 33.17 24.37 17.93 17.38 13.54 27.20 20.45 15.68 13.14 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1000 2000 3000 4000 5000 SE +/- 6.82, N = 3 SE +/- 13.38, N = 3 SE +/- 0.12, N = 3 SE +/- 0.77, N = 3 SE +/- 1.56, N = 3 SE +/- 2.69, N = 3 SE +/- 0.54, N = 3 SE +/- 0.64, N = 3 SE +/- 0.59, N = 3 SE +/- 0.46, N = 3 SE +/- 5.73, N = 3 2038.2 3712.3 1806.4 2490.6 3489.8 3551.0 4743.4 2027.3 2636.4 3858.3 4897.3 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.04 6.96 4.59 6.07 7.51 7.71 10.40 5.25 6.92 8.60 10.94 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.0502, N = 3 SE +/- 0.0173, N = 3 SE +/- 0.0507, N = 3 SE +/- 0.0774, N = 3 SE +/- 0.1843, N = 3 SE +/- 0.0456, N = 3 SE +/- 0.1616, N = 3 SE +/- 0.0501, N = 3 SE +/- 0.2329, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.1286, N = 3 12.3370 20.4299 9.5120 12.4007 16.5255 16.8323 21.6635 12.1775 15.3152 20.4798 25.5897 MIN: 12.23 / MAX: 12.58 MIN: 20.28 / MAX: 20.88 MIN: 9.4 / MAX: 9.74 MIN: 12.25 / MAX: 12.74 MIN: 15.44 / MAX: 17.03 MIN: 16.65 / MAX: 17.13 MIN: 21.35 / MAX: 22.34 MIN: 12 / MAX: 12.41 MIN: 14.69 / MAX: 15.75 MIN: 20.33 / MAX: 20.81 MIN: 25.22 / MAX: 26.09
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.6457 1.2914 1.9371 2.5828 3.2285 SE +/- 0.00373, N = 3 SE +/- 0.00955, N = 3 SE +/- 0.00119, N = 3 SE +/- 0.00102, N = 3 SE +/- 0.00121, N = 3 SE +/- 0.00173, N = 3 SE +/- 0.00338, N = 3 SE +/- 0.00099, N = 3 SE +/- 0.00157, N = 3 SE +/- 0.00218, N = 3 SE +/- 0.00545, N = 3 2.08559 1.23607 2.86995 2.11711 1.54488 1.49526 1.14997 2.37935 1.78164 1.27408 1.07098
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 110 220 330 440 550 511.74 299.91 470.18 349.40 267.07 259.33 208.36 397.24 305.74 224.29 192.18
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.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 11 22 33 44 55 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 21.38 38.23 18.51 28.00 35.95 36.59 43.33 22.60 32.98 43.15 48.71 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 50 100 150 200 250 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.67, N = 3 SE +/- 0.18, N = 3 SE +/- 0.32, N = 3 SE +/- 0.35, N = 3 SE +/- 0.28, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 203.69 114.70 205.38 150.76 111.61 106.80 81.77 178.17 134.54 95.02 78.28
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.0117, N = 3 SE +/- 0.1053, N = 3 SE +/- 0.0493, N = 3 SE +/- 0.0407, N = 3 SE +/- 0.1165, N = 3 SE +/- 0.0456, N = 3 SE +/- 0.1585, N = 3 SE +/- 0.0495, N = 3 SE +/- 0.0477, N = 3 SE +/- 0.0945, N = 3 SE +/- 0.1295, N = 3 10.0729 17.6307 9.6303 12.5210 16.8430 16.9900 21.8692 11.9231 15.2451 20.3789 25.0722 MIN: 10.02 / MAX: 10.19 MIN: 17.35 / MAX: 18.02 MIN: 9.54 / MAX: 9.84 MIN: 12.41 / MAX: 12.79 MIN: 16.53 / MAX: 17.33 MIN: 16.82 / MAX: 17.33 MIN: 21.44 / MAX: 22.58 MIN: 11.25 / MAX: 12.08 MIN: 15.12 / MAX: 15.6 MIN: 20.06 / MAX: 20.8 MIN: 24.83 / MAX: 25.95
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 70 140 210 280 350 305.77 178.12 291.01 214.51 161.51 156.53 119.86 258.69 196.74 142.65 117.67
Basis Universal Basis Universal is a GPU texture codoec. 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 1.12 Settings: UASTC Level 2 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 41.40 25.18 38.67 29.32 22.88 22.63 18.30 31.67 24.82 18.72 15.96 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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 2020-09-17 Model: MobileNetV2_224 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.2861 2.5722 3.8583 5.1444 6.4305 SE +/- 0.015, N = 3 SE +/- 0.013, N = 3 SE +/- 0.049, N = 3 SE +/- 0.053, N = 3 SE +/- 0.026, N = 8 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.017, N = 3 SE +/- 0.037, N = 3 SE +/- 0.016, N = 15 SE +/- 0.012, N = 3 3.401 2.823 3.960 3.375 3.988 4.022 5.716 2.691 2.215 3.058 3.849 MIN: 3.33 / MAX: 5.99 MIN: 2.75 / MAX: 4.11 MIN: 3.84 / MAX: 5.18 MIN: 3.24 / MAX: 13.21 MIN: 3.78 / MAX: 15.56 MIN: 3.91 / MAX: 6.2 MIN: 5.49 / MAX: 6.8 MIN: 2.63 / MAX: 4.15 MIN: 2.13 / MAX: 2.76 MIN: 2.86 / MAX: 15.6 MIN: 3.7 / MAX: 14.25 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
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 13 26 39 52 65 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 59.34 33.73 58.73 42.77 31.53 30.58 23.51 50.22 37.33 27.42 23.01 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 400 800 1200 1600 2000 SE +/- 1.45, N = 3 SE +/- 0.67, N = 3 SE +/- 1.45, N = 3 SE +/- 1.86, N = 3 SE +/- 2.03, N = 3 SE +/- 1.73, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 1.20, N = 3 739 1264 760 1031 1432 1415 1829 915 1187 1610 1893 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60 120 180 240 300 282.58 166.41 265.42 199.43 160.13 155.82 125.26 225.90 171.70 134.45 111.39
Timed MPlayer Compilation This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 47.83 29.04 43.90 33.93 25.77 25.06 20.78 38.57 30.53 22.02 19.02
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.018, N = 3 SE +/- 0.035, N = 3 SE +/- 0.012, N = 3 SE +/- 0.073, N = 3 SE +/- 0.087, N = 3 SE +/- 0.144, N = 3 SE +/- 0.251, N = 15 SE +/- 0.083, N = 3 SE +/- 0.159, N = 15 SE +/- 0.117, N = 3 SE +/- 0.065, N = 3 5.293 8.701 5.266 6.880 9.262 9.487 11.541 6.052 7.115 10.719 13.091 1. (CXX) g++ options: -O3 -pthread -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3K 6K 9K 12K 15K SE +/- 16.16, N = 3 SE +/- 69.83, N = 3 SE +/- 26.31, N = 3 SE +/- 38.82, N = 3 SE +/- 28.66, N = 3 SE +/- 3.76, N = 3 SE +/- 34.34, N = 3 SE +/- 3.08, N = 3 SE +/- 9.53, N = 3 SE +/- 8.30, N = 3 SE +/- 14.40, N = 3 5477.65 9817.40 5700.85 7092.34 9125.69 8748.79 12650.24 6222.63 8332.97 10990.54 13518.29 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3K 6K 9K 12K 15K SE +/- 15.37, N = 3 SE +/- 17.62, N = 3 SE +/- 10.70, N = 3 SE +/- 17.51, N = 3 SE +/- 41.23, N = 3 SE +/- 36.37, N = 3 SE +/- 122.60, N = 3 SE +/- 5.04, N = 3 SE +/- 9.82, N = 3 SE +/- 11.51, N = 3 SE +/- 16.60, N = 3 5506.56 9817.08 5795.79 7134.90 9097.74 8760.84 12280.85 6330.56 8400.29 10933.33 13580.75 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
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.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 SE +/- 0.000, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.020, N = 3 2.707 4.320 2.465 3.347 4.411 4.493 5.320 2.961 3.934 5.315 6.063 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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.
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 200 400 600 800 1000 SE +/- 0.45, N = 3 SE +/- 1.29, N = 3 SE +/- 0.23, N = 3 SE +/- 1.57, N = 3 SE +/- 0.83, N = 3 SE +/- 1.39, N = 3 SE +/- 1.05, N = 3 SE +/- 0.18, N = 3 SE +/- 1.11, N = 3 SE +/- 2.01, N = 3 SE +/- 4.72, N = 3 417.53 706.15 420.46 545.54 670.09 684.39 829.79 576.38 733.43 873.70 1025.44 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.10039, N = 3 SE +/- 0.00812, N = 3 SE +/- 0.11188, N = 3 SE +/- 0.02969, N = 3 SE +/- 0.00218, N = 3 SE +/- 0.01077, N = 3 SE +/- 0.00337, N = 3 SE +/- 0.01096, N = 3 SE +/- 0.01773, N = 3 SE +/- 0.01329, N = 3 SE +/- 0.00365, N = 3 8.71910 4.78766 9.02336 6.86557 5.08460 5.25366 4.29713 7.60324 5.49973 4.71670 3.71587 MIN: 8.56 MIN: 4.68 MIN: 8.56 MIN: 6.67 MIN: 5.02 MIN: 5.14 MIN: 4.2 MIN: 7.37 MIN: 5.39 MIN: 4.35 MIN: 3.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 16.12 28.39 17.89 25.54 27.34 27.66 36.26 20.47 29.17 30.56 38.43 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 16.67 29.36 18.36 26.20 28.13 28.56 37.16 20.98 30.03 31.47 39.37 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Timed FFmpeg Compilation This test times how long it takes to build FFmpeg. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 16 32 48 64 80 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 70.34 44.87 65.27 51.24 40.48 39.52 33.47 56.22 45.33 34.16 29.82
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.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 20.85 35.25 22.84 30.13 36.08 36.87 45.92 26.22 34.77 41.70 48.99 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.71, N = 3 SE +/- 0.50, N = 3 SE +/- 0.56, N = 3 SE +/- 0.51, N = 3 SE +/- 0.50, N = 3 SE +/- 0.60, N = 3 SE +/- 0.56, N = 3 SE +/- 0.56, N = 3 SE +/- 0.35, N = 3 SE +/- 0.47, N = 3 SE +/- 0.64, N = 3 106.43 63.95 100.40 76.69 57.91 56.78 47.36 89.84 71.21 52.27 45.42
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.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.08, 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 +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 11.47 19.57 12.75 16.95 20.64 21.16 25.17 14.63 19.50 23.74 26.59 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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.
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.59, N = 3 SE +/- 1.27, N = 3 SE +/- 1.15, N = 3 SE +/- 0.83, N = 3 SE +/- 1.56, N = 3 SE +/- 2.00, N = 4 SE +/- 1.78, N = 3 SE +/- 1.17, N = 4 SE +/- 0.95, N = 3 SE +/- 2.62, N = 3 SE +/- 2.09, N = 6 75.14 126.19 77.19 98.32 136.32 139.09 162.49 93.58 112.90 158.81 172.75 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.18, N = 4 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 12.56 18.81 11.70 12.48 19.37 19.65 23.09 14.47 15.14 23.54 26.50 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20K 40K 60K 80K 100K SE +/- 325.15, N = 3 SE +/- 35.83, N = 3 SE +/- 44.51, N = 3 SE +/- 139.97, N = 3 SE +/- 286.83, N = 3 SE +/- 28.54, N = 3 SE +/- 191.60, N = 3 SE +/- 206.95, N = 3 SE +/- 144.14, N = 3 SE +/- 80.31, N = 3 SE +/- 79.67, N = 3 41897 64772 43855 56370 76909 77550 90071 54132 66087 89437 94779 1. (CXX) g++ options: -pipe -lpthread
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 2.07, N = 3 SE +/- 1.08, N = 15 SE +/- 0.81, N = 3 SE +/- 1.55, N = 3 SE +/- 0.34, N = 3 SE +/- 0.37, N = 3 SE +/- 0.56, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.28, N = 3 152.56 93.11 150.81 113.80 86.30 83.19 77.85 121.69 91.56 70.61 67.90
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 200 400 600 800 1000 SE +/- 0.78, N = 3 SE +/- 2.33, N = 3 SE +/- 1.66, N = 3 SE +/- 0.22, N = 3 SE +/- 3.29, N = 3 SE +/- 2.72, N = 3 SE +/- 4.14, N = 3 SE +/- 1.76, N = 3 SE +/- 0.81, N = 3 SE +/- 1.43, N = 3 SE +/- 4.08, N = 3 807.29 506.57 748.56 586.16 446.18 432.30 364.33 687.97 548.76 402.44 361.17
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 50K 100K 150K 200K 250K SE +/- 40.25, N = 3 SE +/- 273.40, N = 3 SE +/- 192.72, N = 3 SE +/- 928.82, N = 3 SE +/- 186.00, N = 3 SE +/- 739.92, N = 3 SE +/- 197.01, N = 3 SE +/- 95.69, N = 3 SE +/- 963.62, N = 3 SE +/- 519.62, N = 3 SE +/- 317.75, N = 3 236704 147694 213644 156768 140368 139014 117199 180417 137424 122229 106372
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.
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 6.87 11.10 6.36 7.65 11.04 10.46 12.89 6.97 9.05 11.91 13.74
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.8145 1.629 2.4435 3.258 4.0725 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 2.11 3.34 1.68 1.94 2.78 2.62 3.25 1.80 2.27 3.06 3.62 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.8123 1.6246 2.4369 3.2492 4.0615 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.10 3.29 1.68 1.94 2.78 2.61 3.27 1.78 2.27 3.06 3.61 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 70 140 210 280 350 SE +/- 1.39, N = 3 SE +/- 2.01, N = 3 SE +/- 1.94, N = 3 SE +/- 0.55, N = 3 SE +/- 1.41, N = 3 SE +/- 0.37, N = 3 SE +/- 1.14, N = 3 SE +/- 0.23, N = 3 SE +/- 1.08, N = 3 SE +/- 0.56, N = 3 SE +/- 0.55, N = 3 344.92 214.09 318.34 263.00 232.66 220.22 207.12 282.75 206.31 179.87 161.22 MIN: 339.7 MIN: 206.29 MIN: 312.42 MIN: 260.82 MIN: 229.79 MIN: 218.35 MIN: 203.26 MIN: 281.12 MIN: 202.97 MIN: 178.58 MIN: 159.59 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Sunflow Rendering System This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.3015 0.603 0.9045 1.206 1.5075 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.011, N = 15 SE +/- 0.012, N = 6 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 15 SE +/- 0.008, N = 4 1.295 0.781 1.340 1.007 0.842 0.805 0.697 1.019 0.786 0.684 0.627 MIN: 1.2 / MAX: 1.71 MIN: 0.71 / MAX: 1.21 MIN: 1.16 / MAX: 1.86 MIN: 0.88 / MAX: 1.38 MIN: 0.73 / MAX: 1.13 MIN: 0.69 / MAX: 1.14 MIN: 0.57 / MAX: 1.33 MIN: 0.95 / MAX: 1.37 MIN: 0.71 / MAX: 1.14 MIN: 0.56 / MAX: 0.94 MIN: 0.5 / MAX: 1.04
NeatBench NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 14.4 18.3 18.9 21.9 24.7 25.1 27.3 22.0 25.8 28.3 30.3
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.134, N = 3 SE +/- 0.019, N = 3 SE +/- 0.092, N = 3 SE +/- 0.050, N = 3 SE +/- 0.090, N = 3 SE +/- 0.109, N = 3 SE +/- 0.041, N = 3 SE +/- 0.038, N = 3 SE +/- 0.023, N = 3 SE +/- 0.051, N = 3 SE +/- 0.024, N = 3 14.129 8.099 13.982 9.625 8.613 8.187 7.276 12.308 9.051 7.495 6.764
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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.01019, N = 3 SE +/- 0.01927, N = 3 SE +/- 0.04407, N = 15 SE +/- 0.06254, N = 15 SE +/- 0.04241, N = 7 SE +/- 0.01604, N = 3 SE +/- 0.03194, N = 3 SE +/- 0.02155, N = 3 SE +/- 0.01164, N = 3 SE +/- 0.01689, N = 3 SE +/- 0.00620, N = 3 4.33647 3.28562 5.73687 6.23646 3.80031 4.81380 4.03926 4.22337 3.12133 3.00338 3.20910 MIN: 4.21 MIN: 3.02 MIN: 5.47 MIN: 5.63 MIN: 3.45 MIN: 4.58 MIN: 3.77 MIN: 4.01 MIN: 2.98 MIN: 2.77 MIN: 3.05 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1300 2600 3900 5200 6500 SE +/- 10.49, N = 3 SE +/- 3.56, N = 3 SE +/- 5.02, N = 3 SE +/- 16.97, N = 3 SE +/- 11.08, N = 3 SE +/- 9.17, N = 3 SE +/- 11.36, N = 3 SE +/- 6.00, N = 3 SE +/- 11.91, N = 3 SE +/- 1.96, N = 3 SE +/- 17.79, N = 3 3633.4 2922.3 4561.3 4265.9 4499.8 4483.5 4059.1 6000.4 4715.8 5879.8 4896.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.40, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 15 SE +/- 0.09, N = 3 24.80 16.99 24.81 19.01 16.26 16.03 14.73 20.24 16.68 13.25 12.24
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 10 20 30 40 50 SE +/- 0.64, N = 3 SE +/- 0.34, N = 15 SE +/- 0.18, N = 3 SE +/- 0.15, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 44.94 33.14 36.34 32.72 28.13 26.86 25.66 31.04 28.13 22.77 22.20
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 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.3095 2.619 3.9285 5.238 6.5475 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.33 5.06 5.64 5.55 5.40 5.39 5.82 3.10 2.88 4.14 4.37 MIN: 5.16 / MAX: 6.82 MIN: 4.97 / MAX: 6.13 MIN: 5.52 / MAX: 7.35 MIN: 5.45 / MAX: 10.07 MIN: 5.25 / MAX: 6.16 MIN: 5.23 / MAX: 6.48 MIN: 5.69 / MAX: 6.18 MIN: 3.03 / MAX: 4.25 MIN: 2.83 / MAX: 4.04 MIN: 4.08 / MAX: 5.04 MIN: 4.29 / MAX: 5.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 0.7.3 Encoder Speed: 0 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.63, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.44, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.39, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 106.41 71.86 101.97 80.88 68.18 67.30 59.40 88.14 71.48 58.65 52.75 1. (CXX) g++ options: -O3 -fPIC
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 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.46, N = 3 SE +/- 0.41, N = 3 SE +/- 0.53, N = 3 SE +/- 0.55, N = 3 SE +/- 0.46, N = 3 SE +/- 0.23, N = 3 SE +/- 0.45, N = 3 122.76 186.01 109.32 119.86 180.89 180.29 200.83 126.80 134.96 206.64 220.35 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 110 220 330 440 550 SE +/- 2.26, N = 3 SE +/- 1.18, N = 3 SE +/- 6.73, N = 3 SE +/- 2.43, N = 3 SE +/- 16.54, N = 3 SE +/- 6.33, N = 3 SE +/- 4.86, N = 3 SE +/- 4.76, N = 3 SE +/- 13.92, N = 3 SE +/- 1.54, N = 3 SE +/- 3.07, N = 3 265.78 390.00 306.45 262.48 310.86 371.29 374.19 338.34 471.05 495.79 521.05 1. (CC) gcc options: -lm
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 0.7.3 Encoder Speed: 2 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 14 28 42 56 70 SE +/- 0.28, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 63.90 42.77 61.34 48.52 41.11 40.43 35.68 53.53 43.36 35.21 32.20 1. (CXX) g++ options: -O3 -fPIC
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.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.19, N = 3 SE +/- 0.33, N = 3 SE +/- 0.12, N = 3 43.82 69.90 48.14 60.10 62.50 63.26 82.24 55.56 69.34 69.63 86.94 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.43, N = 3 SE +/- 0.22, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.35, N = 3 SE +/- 0.14, N = 3 SE +/- 0.42, N = 3 79.10 129.64 85.57 112.90 117.56 119.07 145.91 99.92 129.30 130.30 155.81 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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 2020-09-17 Model: SqueezeNetV1.0 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.021, N = 3 SE +/- 0.060, N = 3 SE +/- 0.084, N = 3 SE +/- 0.080, N = 3 SE +/- 0.076, N = 8 SE +/- 0.100, N = 3 SE +/- 0.082, N = 3 SE +/- 0.052, N = 3 SE +/- 0.070, N = 3 SE +/- 0.062, N = 15 SE +/- 0.059, N = 3 5.651 4.331 6.562 6.034 7.234 7.235 8.162 4.921 4.165 6.111 6.448 MIN: 5.51 / MAX: 10.9 MIN: 4.15 / MAX: 16.62 MIN: 6.33 / MAX: 8.06 MIN: 5.82 / MAX: 15.84 MIN: 6.68 / MAX: 15.68 MIN: 6.96 / MAX: 9.38 MIN: 7.83 / MAX: 11.13 MIN: 4.74 / MAX: 6.94 MIN: 4.02 / MAX: 5.67 MIN: 5.64 / MAX: 17.69 MIN: 6.19 / MAX: 16.36 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
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 35.43 24.74 33.45 27.97 23.22 22.77 20.58 29.82 25.22 19.52 18.17
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.5513 1.1026 1.6539 2.2052 2.7565 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.28 1.93 1.28 1.52 2.07 1.99 2.43 1.26 1.65 2.19 2.45 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
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 9.6.0+dfsg Processing 60 Page PDF Document Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 29.50 19.84 30.15 24.03 21.03 20.56 18.73 25.31 20.54 17.19 15.58
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 6 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.28 1.93 1.29 1.56 2.10 1.97 2.43 1.29 1.72 2.20 2.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.1588 2.3176 3.4764 4.6352 5.794 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.41 4.00 5.08 4.83 4.75 4.75 5.15 2.90 2.68 3.99 4.16 MIN: 4.31 / MAX: 5.93 MIN: 3.91 / MAX: 4.67 MIN: 4.97 / MAX: 6.88 MIN: 4.73 / MAX: 5.7 MIN: 4.68 / MAX: 5.93 MIN: 4.7 / MAX: 5.67 MIN: 5.03 / MAX: 5.6 MIN: 2.87 / MAX: 4.06 MIN: 2.64 / MAX: 3.8 MIN: 3.93 / MAX: 4.83 MIN: 4.11 / MAX: 5.11 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 19.68 14.23 18.05 14.97 13.48 13.23 12.24 15.17 12.87 11.02 10.36 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
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 20200916 Target: CPU - Model: efficientnet-b0 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 6.83 5.89 7.36 7.01 6.61 6.62 7.10 4.24 3.90 5.19 5.25 MIN: 6.75 / MAX: 8.34 MIN: 5.82 / MAX: 7.01 MIN: 7.22 / MAX: 8.57 MIN: 6.92 / MAX: 8.19 MIN: 6.48 / MAX: 7.84 MIN: 6.51 / MAX: 7.75 MIN: 6.88 / MAX: 8.39 MIN: 4.15 / MAX: 5.32 MIN: 3.84 / MAX: 8.56 MIN: 5.01 / MAX: 5.68 MIN: 5.19 / MAX: 9.21 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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 0.68, N = 3 SE +/- 0.09, N = 3 SE +/- 1.10, N = 3 SE +/- 0.45, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.56, N = 3 SE +/- 0.28, N = 3 SE +/- 0.59, N = 3 SE +/- 0.08, N = 3 SE +/- 0.90, N = 3 131.40 82.98 127.40 118.74 88.59 86.79 77.78 106.40 101.56 72.56 69.81 1. (CXX) g++ options: -O2 -lOpenCL
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 200 400 600 800 1000 SE +/- 0.99, N = 3 SE +/- 1.31, N = 3 SE +/- 1.71, N = 3 SE +/- 1.57, N = 3 SE +/- 1.67, N = 3 SE +/- 0.26, N = 3 SE +/- 1.50, N = 3 SE +/- 0.25, N = 3 SE +/- 3.87, N = 3 SE +/- 0.38, N = 3 SE +/- 2.14, N = 3 550.52 785.87 438.49 514.32 586.78 585.47 619.21 545.09 646.15 661.39 688.70 MIN: 404.15 / MAX: 850.71 MIN: 607.56 / MAX: 1067.02 MIN: 334.01 / MAX: 673.67 MIN: 394.76 / MAX: 717.47 MIN: 461.53 / MAX: 717.45 MIN: 461.07 / MAX: 715.8 MIN: 475.8 / MAX: 778.14 MIN: 401.83 / MAX: 840.98 MIN: 484.41 / MAX: 891.48 MIN: 505.19 / MAX: 829.84 MIN: 524.41 / MAX: 874.26 1. (CC) gcc options: -pthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 2 SE +/- 0.06, N = 3 14.92 13.28 17.03 16.05 17.38 17.31 19.24 11.39 10.75 12.68 13.43 MIN: 14.77 / MAX: 16.85 MIN: 12.98 / MAX: 14.24 MIN: 16.81 / MAX: 18.21 MIN: 15.94 / MAX: 25.37 MIN: 16.96 / MAX: 17.94 MIN: 16.92 / MAX: 19.54 MIN: 18.5 / MAX: 19.94 MIN: 11.27 / MAX: 12.52 MIN: 10.63 / MAX: 11.91 MIN: 12.51 / MAX: 13.3 MIN: 13.03 / MAX: 14.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 15 30 45 60 75 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.23, N = 3 SE +/- 0.07, N = 3 66.26 47.79 64.41 54.14 46.79 46.27 42.37 55.96 47.70 40.12 37.37
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 2020-09-17 Model: resnet-v2-50 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.26, N = 3 SE +/- 0.17, N = 3 SE +/- 0.16, N = 3 SE +/- 0.17, N = 8 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.43, N = 3 SE +/- 0.44, N = 3 SE +/- 0.16, N = 15 SE +/- 0.07, N = 3 32.48 25.31 30.26 29.53 33.07 33.47 42.13 25.04 23.84 27.06 28.38 MIN: 32.23 / MAX: 45.55 MIN: 24.65 / MAX: 37.66 MIN: 29.77 / MAX: 40.96 MIN: 29.08 / MAX: 40.82 MIN: 31.66 / MAX: 46.35 MIN: 32.67 / MAX: 45.9 MIN: 39.26 / MAX: 53.15 MIN: 24.34 / MAX: 37.43 MIN: 23.19 / MAX: 35.63 MIN: 26.09 / MAX: 38.76 MIN: 27.72 / MAX: 40.81 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
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.2903 0.5806 0.8709 1.1612 1.4515 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 0.842 0.977 0.733 0.823 1.133 1.136 1.236 0.876 0.990 1.284 1.290 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -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 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 50 100 150 200 250 SE +/- 1.83, N = 3 SE +/- 2.55, N = 5 SE +/- 1.35, N = 3 SE +/- 1.38, N = 3 SE +/- 3.37, N = 3 SE +/- 3.32, N = 3 SE +/- 0.25, N = 3 SE +/- 2.49, N = 3 SE +/- 2.69, N = 3 SE +/- 3.76, N = 3 SE +/- 2.17, N = 10 154.53 210.08 134.25 149.99 202.63 198.20 217.13 153.90 169.80 226.26 234.14 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
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.
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 6.48 7.38 6.59 6.92 7.14 7.03 7.22 10.36 11.04 11.08 11.24
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 2.0 Preset: Medium Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 9.45 6.80 9.60 7.98 7.07 7.04 6.27 8.09 6.87 6.01 5.60 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 37.2 30.3 27.0 32.3 38.7 38.9 39.5 33.5 37.1 44.6 44.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
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.
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 14.48 17.06 14.76 15.65 16.40 16.38 16.85 20.34 21.95 23.20 23.64
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Summer Nature 4K Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.66, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.61, N = 3 SE +/- 0.44, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 3 SE +/- 0.62, N = 3 143.26 183.54 145.19 171.17 197.62 197.64 201.96 173.18 198.88 228.06 231.45 MIN: 134.31 / MAX: 160.76 MIN: 147.87 / MAX: 191.59 MIN: 138.55 / MAX: 159.76 MIN: 153.68 / MAX: 184.63 MIN: 158.2 / MAX: 208.72 MIN: 160.44 / MAX: 207.45 MIN: 138.19 / MAX: 209.94 MIN: 163.49 / MAX: 194.95 MIN: 181.82 / MAX: 218.4 MIN: 183.97 / MAX: 245.09 MIN: 167.76 / MAX: 241.46 1. (CC) gcc options: -pthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 1.09, N = 3 SE +/- 2.90, N = 3 SE +/- 1.74, N = 3 SE +/- 1.15, N = 3 SE +/- 1.09, N = 3 SE +/- 1.11, N = 3 SE +/- 0.54, N = 3 SE +/- 0.63, N = 3 SE +/- 1.23, N = 3 SE +/- 1.11, N = 3 SE +/- 0.35, N = 3 174.72 176.74 197.37 183.72 196.12 194.85 195.78 129.38 123.09 155.88 149.62
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.
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 7.88 9.21 8.94 9.79 10.59 10.61 11.15 10.27 11.35 12.43 12.61
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 20200916 Target: CPU - Model: mobilenet Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 18.79 16.41 18.83 17.08 16.49 16.50 17.12 12.85 11.79 12.36 12.65 MIN: 18.56 / MAX: 29.54 MIN: 16.34 / MAX: 17.53 MIN: 18.42 / MAX: 19.87 MIN: 16.45 / MAX: 18.57 MIN: 16.16 / MAX: 16.99 MIN: 16.21 / MAX: 16.8 MIN: 16.58 / MAX: 50.65 MIN: 12.75 / MAX: 14.82 MIN: 11.48 / MAX: 25.12 MIN: 12.07 / MAX: 31.33 MIN: 12.38 / MAX: 13.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 29.80 23.58 30.48 25.88 24.11 23.83 21.23 26.63 23.28 21.25 19.47 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 16 32 48 64 80 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 64.94 57.17 71.46 64.02 51.42 56.23 47.47 68.37 57.68 48.41 45.74 MIN: 63.43 MIN: 56.54 MIN: 70 MIN: 62.9 MIN: 50.48 MIN: 55.46 MIN: 46.54 MIN: 67.42 MIN: 56.93 MIN: 47.56 MIN: 44.74 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.020, N = 3 SE +/- 0.081, N = 3 SE +/- 0.050, N = 3 SE +/- 0.029, N = 3 SE +/- 0.017, N = 3 SE +/- 0.048, N = 3 SE +/- 0.041, N = 3 SE +/- 0.063, N = 3 SE +/- 0.052, N = 3 SE +/- 0.029, N = 3 SE +/- 0.044, N = 3 8.750 8.702 11.424 11.018 8.907 8.973 8.591 8.515 8.508 7.365 7.350 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 16.17 14.04 17.88 16.29 15.95 16.39 15.97 12.37 11.52 12.95 13.30 MIN: 15.98 / MAX: 27.23 MIN: 13.85 / MAX: 15.37 MIN: 17.74 / MAX: 19.69 MIN: 15.98 / MAX: 18.5 MIN: 15.58 / MAX: 16.48 MIN: 15.95 / MAX: 85.44 MIN: 15.54 / MAX: 16.76 MIN: 12.21 / MAX: 26.56 MIN: 11.31 / MAX: 11.99 MIN: 12.49 / MAX: 14.61 MIN: 12.97 / MAX: 13.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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: Tradesoap Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 900 1800 2700 3600 4500 SE +/- 25.86, N = 3 SE +/- 28.48, N = 4 SE +/- 23.88, N = 3 SE +/- 18.51, N = 4 SE +/- 43.45, N = 4 SE +/- 22.93, N = 4 SE +/- 45.31, N = 4 SE +/- 20.42, N = 4 SE +/- 20.13, N = 4 SE +/- 36.22, N = 4 3977 2884 4395 3663 3389 3348 3460 3531 2962 2836 2925
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 100 200 300 400 500 SE +/- 0.19, N = 3 SE +/- 3.03, N = 3 SE +/- 1.70, N = 3 SE +/- 1.95, N = 3 SE +/- 5.47, N = 3 SE +/- 2.91, N = 3 SE +/- 0.71, N = 3 SE +/- 0.37, N = 3 SE +/- 2.81, N = 3 SE +/- 4.99, N = 3 SE +/- 4.25, N = 3 450.8 419.1 367.7 347.7 369.6 360.7 362.2 306.9 292.4 291.4 297.7 1. firefox 81.0
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 1.00, N = 3 SE +/- 0.14, N = 3 SE +/- 0.26, N = 3 SE +/- 0.32, N = 3 SE +/- 0.37, N = 3 SE +/- 0.51, N = 3 SE +/- 0.17, N = 3 SE +/- 0.27, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 64.07 78.02 57.70 61.24 65.37 65.58 63.23 50.50 55.00 58.40 59.65
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 300 600 900 1200 1500 SE +/- 0.29, N = 3 SE +/- 11.39, N = 3 SE +/- 7.05, N = 3 SE +/- 26.41, N = 3 SE +/- 6.22, N = 3 SE +/- 11.76, N = 3 SE +/- 11.92, N = 3 SE +/- 3.19, N = 3 SE +/- 3.69, N = 3 SE +/- 2.29, N = 3 SE +/- 3.97, N = 3 1084.83 1176.07 1003.69 1010.57 1000.22 1019.65 1022.73 1476.82 1520.85 1485.05 1501.03 1. (CC) gcc options: -lm
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: 200 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20K 40K 60K 80K 100K SE +/- 179.78, N = 3 SE +/- 271.18, N = 3 SE +/- 328.34, N = 3 SE +/- 989.81, N = 8 SE +/- 97.95, N = 3 SE +/- 46.94, N = 3 SE +/- 37.78, N = 3 SE +/- 89.09, N = 3 SE +/- 51.56, N = 3 SE +/- 478.94, N = 3 SE +/- 473.56, N = 3 89584 75313 97587 96129 107356 105803 105617 74254 70819 78347 80924 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.269 2.538 3.807 5.076 6.345 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, 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 4.04 5.64 4.90 5.06 3.89 3.99 3.86 4.51 4.70 3.73 3.85 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8K 16K 24K 32K 40K SE +/- 77.79, N = 3 SE +/- 25.33, N = 3 SE +/- 18.52, N = 3 SE +/- 29.41, N = 3 SE +/- 29.89, N = 3 SE +/- 98.83, N = 3 SE +/- 34.63, N = 3 SE +/- 32.74, N = 3 SE +/- 41.74, N = 3 SE +/- 18.60, N = 3 SE +/- 39.63, N = 3 34083.37 25630.01 34238.23 37466.48 36851.90 35670.01 38565.53 36604.36 35513.87 37925.62 36137.49 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
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.
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 400K 800K 1200K 1600K 2000K SE +/- 2392.41, N = 5 SE +/- 2615.51, N = 5 SE +/- 2742.19, N = 5 SE +/- 11294.71, N = 5 SE +/- 3070.42, N = 5 SE +/- 9606.45, N = 18 SE +/- 4368.74, N = 5 SE +/- 2451.81, N = 5 SE +/- 3532.74, N = 5 SE +/- 2205.85, N = 5 SE +/- 21208.90, N = 5 1482195 1572770 1327838 1401832 1376972 1385206 1407253 1900557 1989830 1960074 1970776 1. (CC) gcc options: -O3 -march=native
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 20200916 Target: CPU - Model: yolov4-tiny Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.33, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 27.79 25.00 29.79 28.03 28.90 28.68 29.08 20.39 19.89 21.81 22.63 MIN: 27.7 / MAX: 29.86 MIN: 24.78 / MAX: 25.84 MIN: 29.39 / MAX: 54.87 MIN: 27.86 / MAX: 28.69 MIN: 28.52 / MAX: 83.18 MIN: 28.4 / MAX: 37.04 MIN: 28.81 / MAX: 29.7 MIN: 20.15 / MAX: 21.63 MIN: 19.15 / MAX: 21.25 MIN: 21.37 / MAX: 22.7 MIN: 22.14 / MAX: 23.14 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.
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 12 24 36 48 60 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.05, N = 3 SE +/- 0.35, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 36.94 41.50 39.02 41.76 43.19 43.59 44.57 49.12 52.29 53.42 54.99 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 3.51, N = 3 SE +/- 12.84, N = 3 SE +/- 9.68, N = 3 SE +/- 6.01, N = 3 SE +/- 3.79, N = 3 SE +/- 8.11, N = 3 862 945 754 794 766 726 799 1035 1072 1056 1042 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
C-Blosc A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3K 6K 9K 12K 15K SE +/- 9.56, N = 3 SE +/- 18.50, N = 3 SE +/- 13.28, N = 3 SE +/- 21.12, N = 3 SE +/- 27.76, N = 3 SE +/- 32.32, N = 3 SE +/- 23.94, N = 3 SE +/- 62.37, N = 3 SE +/- 39.00, N = 3 SE +/- 62.90, N = 3 SE +/- 40.83, N = 3 10868.2 10815.8 11552.0 11505.5 11595.2 11473.9 11474.9 15561.0 15924.6 14645.4 14032.5 1. (CXX) g++ options: -rdynamic
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 80 160 240 320 400 SE +/- 0.44, N = 3 SE +/- 2.33, N = 3 SE +/- 1.93, N = 3 SE +/- 1.54, N = 3 SE +/- 4.54, N = 3 SE +/- 2.39, N = 3 SE +/- 1.69, N = 3 SE +/- 0.08, N = 3 SE +/- 0.28, N = 3 SE +/- 1.47, N = 3 SE +/- 0.81, N = 3 368.44 340.68 285.66 270.45 280.25 270.84 280.03 260.76 250.93 253.65 254.15 1. chrome 86.0.4240.75
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 22.37 21.06 18.26 17.34 18.52 17.41 17.24 15.88 15.24 15.61 15.37 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 192.56 183.25 172.48 167.36 171.79 170.08 169.17 133.29 131.40 134.28 135.23
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: Serial Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 130 260 390 520 650 611.64 588.16 549.02 529.70 546.89 526.46 522.74 437.95 421.39 430.24 426.53
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 2020-09-17 Model: inception-v3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 SE +/- 0.58, N = 3 SE +/- 0.15, N = 8 SE +/- 0.16, N = 3 SE +/- 0.28, N = 3 SE +/- 0.41, N = 3 SE +/- 1.19, N = 3 SE +/- 0.17, N = 15 SE +/- 0.08, N = 3 38.47 29.43 36.02 32.46 31.55 32.48 36.98 31.65 26.51 26.88 26.80 MIN: 38.12 / MAX: 51.85 MIN: 29.01 / MAX: 39.64 MIN: 35.38 / MAX: 46.54 MIN: 31.11 / MAX: 44.49 MIN: 30.42 / MAX: 44.63 MIN: 31.9 / MAX: 45.8 MIN: 35.45 / MAX: 47.52 MIN: 30.81 / MAX: 42.27 MIN: 25.05 / MAX: 35 MIN: 25.86 / MAX: 39.31 MIN: 26.49 / MAX: 39.3 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
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: GoogleNet - Acceleration: CPU - Iterations: 200 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60K 120K 180K 240K 300K SE +/- 166.99, N = 3 SE +/- 174.69, N = 3 SE +/- 1054.43, N = 3 SE +/- 142.32, N = 3 SE +/- 477.83, N = 3 SE +/- 462.71, N = 3 SE +/- 702.33, N = 3 SE +/- 166.56, N = 3 SE +/- 49.01, N = 3 SE +/- 437.17, N = 3 SE +/- 392.51, N = 3 231683 196074 237908 234440 262738 258972 265131 193736 182697 200676 214239 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Basis Universal Basis Universal is a GPU texture codoec. 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 1.12 Settings: UASTC Level 0 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.002, N = 3 SE +/- 0.033, N = 3 SE +/- 0.015, N = 3 SE +/- 0.025, N = 3 SE +/- 0.105, N = 3 SE +/- 0.081, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 7.595 6.371 7.620 6.797 6.715 6.760 6.365 6.141 5.644 5.426 5.252 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 HotSpot3D Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.24, N = 3 SE +/- 0.87, N = 3 SE +/- 0.24, N = 3 SE +/- 1.07, N = 3 SE +/- 0.37, N = 3 SE +/- 0.88, N = 15 SE +/- 1.24, N = 15 SE +/- 1.56, N = 12 SE +/- 0.77, N = 6 91.90 83.89 87.09 80.94 81.10 79.76 79.93 70.56 67.51 66.74 63.86 1. (CXX) g++ options: -O2 -lOpenCL
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 20200916 Target: CPU - Model: resnet50 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.04, N = 3 SE +/- 0.29, N = 3 SE +/- 0.38, N = 3 SE +/- 0.22, N = 3 29.20 24.28 31.60 28.47 27.82 27.66 29.91 24.78 22.09 24.29 25.48 MIN: 28.94 / MAX: 30.06 MIN: 23.97 / MAX: 25.62 MIN: 31.38 / MAX: 32.98 MIN: 28.22 / MAX: 30.66 MIN: 27.35 / MAX: 28.71 MIN: 27.41 / MAX: 33.56 MIN: 29.44 / MAX: 31.38 MIN: 24.6 / MAX: 36.85 MIN: 21.65 / MAX: 35.94 MIN: 23.69 / MAX: 27.95 MIN: 24.9 / MAX: 41.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Basis Universal Basis Universal is a GPU texture codoec. 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 1.12 Settings: ETC1S Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 12 24 36 48 60 SE +/- 0.14, N = 3 SE +/- 0.38, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.64, N = 3 SE +/- 0.38, N = 3 SE +/- 0.07, N = 3 SE +/- 0.37, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 52.41 43.30 51.35 45.83 44.35 43.55 42.26 43.66 39.87 37.40 36.78 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.21, N = 3 SE +/- 0.29, N = 3 SE +/- 0.13, N = 3 SE +/- 0.49, N = 3 SE +/- 0.59, N = 3 45.81 49.04 38.20 38.59 38.03 38.32 38.90 51.53 53.60 53.19 52.94 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 2 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 14.89 13.56 17.57 16.92 16.70 16.48 17.91 12.71 12.78 13.32 14.62 MIN: 14.8 / MAX: 16.25 MIN: 13.34 / MAX: 23.75 MIN: 17.45 / MAX: 19.63 MIN: 16.79 / MAX: 26.29 MIN: 16.36 / MAX: 72.05 MIN: 16.31 / MAX: 28.36 MIN: 17.65 / MAX: 28.08 MIN: 12.62 / MAX: 13.55 MIN: 12.65 / MAX: 14.06 MIN: 13.09 / MAX: 14.66 MIN: 14.51 / MAX: 15.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 50 100 150 200 250 SE +/- 2.56, N = 5 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 2.19, N = 3 SE +/- 0.58, N = 3 SE +/- 1.33, N = 3 SE +/- 0.33, N = 3 207 166 233 211 211 205 199 203 194 179 180 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
ctx_clock Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Clocks, Fewer Is Better ctx_clock Context Switch Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.67, N = 3 SE +/- 2.00, N = 3 SE +/- 4.79, N = 15 178 150 190 156 190 177 175 148 152 148 136
Inkscape Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 20.86 19.86 23.88 23.78 24.21 23.78 23.92 17.84 17.41 18.32 18.55 1. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
Hierarchical INTegration This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 110M 220M 330M 440M 550M SE +/- 345078.13, N = 3 SE +/- 667086.01, N = 3 SE +/- 140508.36, N = 3 SE +/- 821909.63, N = 3 SE +/- 425188.38, N = 3 SE +/- 3810394.29, N = 3 SE +/- 265333.27, N = 3 SE +/- 648578.86, N = 3 SE +/- 809659.91, N = 3 SE +/- 1730487.00, N = 3 SE +/- 6320318.74, N = 3 481073602.70 511718743.40 390856008.08 406360022.76 401445819.03 385672695.95 406108737.68 509667296.91 530810166.95 517301573.26 535283139.78 1. (CC) gcc options: -O3 -march=native -lm
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.21, N = 3 22.38 20.36 19.10 18.43 18.79 18.90 19.13 16.79 16.16 16.48 16.17
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 60.93 53.67 63.41 57.84 54.34 53.51 52.39 53.29 49.32 45.85 46.34 1. RawTherapee, version 5.8, command line.
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 13 26 39 52 65 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.68, N = 3 SE +/- 0.09, N = 3 SE +/- 0.47, N = 3 SE +/- 0.34, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.71, N = 3 SE +/- 0.18, N = 3 49.05 46.56 57.30 53.98 55.78 56.77 55.07 43.06 41.68 41.54 42.68 1. (CC) gcc options: -O2 -ldl -lz -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 900 1800 2700 3600 4500 SE +/- 26.51, N = 4 SE +/- 25.71, N = 4 SE +/- 17.11, N = 4 SE +/- 27.52, N = 4 SE +/- 11.74, N = 4 SE +/- 23.65, N = 4 SE +/- 15.68, N = 4 SE +/- 33.87, N = 4 SE +/- 12.56, N = 4 SE +/- 20.69, N = 4 SE +/- 27.26, N = 4 3676 3319 4215 3965 3990 3963 3946 3313 3165 3068 3066
Fhourstones This integer benchmark solves positions in the game of Connect-4, as played on a vertical 7x6 board. By default, it uses a 64Mb transposition table with the twobig replacement strategy. Positions are represented as 64-bit bitboards, and the hash function is computed using a single 64-bit modulo operation, giving 64-bit machines a slight edge. The alpha-beta searcher sorts moves dynamically based on the history heuristic. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Kpos / sec, More Is Better Fhourstones 3.1 Complex Connect-4 Solving Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4K 8K 12K 16K 20K SE +/- 15.81, N = 3 SE +/- 15.99, N = 3 SE +/- 25.69, N = 3 SE +/- 32.40, N = 3 SE +/- 104.27, N = 3 SE +/- 155.45, N = 8 SE +/- 67.33, N = 3 SE +/- 185.84, N = 3 SE +/- 51.62, N = 3 SE +/- 46.12, N = 3 SE +/- 274.41, N = 3 15846.1 17624.8 15263.7 16160.1 15451.0 15572.8 15875.8 20100.7 20877.6 20018.5 20223.0 1. (CC) gcc options: -O3
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 120 240 360 480 600 SE +/- 0.84, N = 3 SE +/- 2.16, N = 3 SE +/- 1.99, N = 3 SE +/- 2.64, N = 3 SE +/- 3.07, N = 3 SE +/- 1.51, N = 3 SE +/- 2.57, N = 3 SE +/- 0.60, N = 3 SE +/- 1.23, N = 3 SE +/- 2.53, N = 3 SE +/- 6.57, N = 3 413.80 451.53 415.99 432.12 409.49 425.55 422.17 543.12 558.28 550.69 542.76
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p 10-bit Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.37, N = 3 SE +/- 0.29, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 102.72 131.94 97.93 105.06 110.59 110.90 113.75 117.34 124.60 128.47 133.14 MIN: 66.79 / MAX: 241.72 MIN: 84.38 / MAX: 304.84 MIN: 63.93 / MAX: 233.22 MIN: 69.5 / MAX: 241.03 MIN: 74.04 / MAX: 240.86 MIN: 74.1 / MAX: 238.95 MIN: 77.63 / MAX: 233.82 MIN: 77.76 / MAX: 285.64 MIN: 83.42 / MAX: 292.97 MIN: 88.05 / MAX: 273.02 MIN: 92.76 / MAX: 272.06 1. (CC) gcc options: -pthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.0262 0.0524 0.0786 0.1048 0.131 SE +/- 0.00016538, N = 3 SE +/- 0.00032095, N = 3 SE +/- 0.00138595, N = 3 SE +/- 0.00131011, N = 15 SE +/- 0.00086563, N = 3 SE +/- 0.00093524, N = 3 SE +/- 0.00118276, N = 3 SE +/- 0.00010732, N = 3 SE +/- 0.00040989, N = 3 SE +/- 0.00117965, N = 15 SE +/- 0.00107634, N = 3 0.10063976 0.09765781 0.11643247 0.11018877 0.11095995 0.11338212 0.11059513 0.08930334 0.08734160 0.08573340 0.08659397
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3M 6M 9M 12M 15M SE +/- 7610.57, N = 3 SE +/- 18480.02, N = 3 SE +/- 45342.43, N = 3 SE +/- 24969.38, N = 3 SE +/- 33192.92, N = 3 SE +/- 124855.19, N = 3 SE +/- 28955.96, N = 3 SE +/- 12610.07, N = 3 SE +/- 59345.60, N = 3 SE +/- 9488.88, N = 3 SE +/- 46067.71, N = 3 9196154 10087418 8912018 8805287 9268070 9071528 9195403 11191962 11851326 11404838 11519567 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.031, N = 3 SE +/- 0.076, N = 3 SE +/- 0.110, N = 3 SE +/- 0.097, N = 3 SE +/- 0.054, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.027, N = 3 SE +/- 0.014, N = 3 7.397 6.966 7.067 6.658 7.081 6.964 6.894 5.737 5.499 5.621 5.562 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 17.13 16.40 16.15 15.38 16.13 15.64 15.57 13.14 12.78 12.84 12.82
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Ryzen 5 5600X Ryzen 7 5800X 0.1418 0.2836 0.4254 0.5672 0.709 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.63 0.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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: SqueezeNet v1.1 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60 120 180 240 300 SE +/- 0.10, N = 3 SE +/- 3.74, N = 3 SE +/- 0.65, N = 3 SE +/- 1.57, N = 3 SE +/- 0.80, N = 3 SE +/- 2.02, N = 12 SE +/- 0.29, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.54, N = 3 SE +/- 0.24, N = 3 278.41 261.56 240.28 231.37 235.52 236.45 240.34 216.96 208.12 215.55 213.84 MIN: 278.09 / MAX: 284.76 MIN: 253.09 / MAX: 270.4 MIN: 237.48 / MAX: 242.43 MIN: 228.01 / MAX: 242 MIN: 233.06 / MAX: 238.56 MIN: 224.41 / MAX: 244.45 MIN: 239.2 / MAX: 249.7 MIN: 216.75 / MAX: 217.19 MIN: 207.98 / MAX: 208.3 MIN: 214.45 / MAX: 216.73 MIN: 213.22 / MAX: 214.97 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.27, N = 3 SE +/- 0.31, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 110.03 87.43 109.64 99.06 94.93 94.03 90.55 99.31 91.23 83.58 82.47
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Ryzen 5 5600X Ryzen 7 5800X 700 1400 2100 2800 3500 SE +/- 9.00, N = 3 SE +/- 31.98, N = 6 3087.08 2313.88 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 16 32 48 64 80 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.39, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 68.83 63.63 69.25 66.91 72.74 69.94 70.24 54.53 55.10 56.99 61.58 -mmpx -mmpx -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -mmpx -mmpx -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
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60 120 180 240 300 SE +/- 0.14, N = 3 SE +/- 1.24, N = 3 SE +/- 0.19, N = 3 SE +/- 2.89, N = 3 SE +/- 0.28, N = 3 SE +/- 0.84, N = 3 SE +/- 0.44, N = 3 SE +/- 0.21, N = 3 SE +/- 0.90, N = 3 SE +/- 1.79, N = 3 SE +/- 1.61, N = 3 294.97 282.65 257.80 246.79 256.34 255.51 258.83 227.66 221.12 227.29 228.34 MIN: 294.25 / MAX: 296.33 MIN: 278.48 / MAX: 286.84 MIN: 253.88 / MAX: 275.98 MIN: 240.1 / MAX: 270.64 MIN: 249.57 / MAX: 278.25 MIN: 242.62 / MAX: 276.95 MIN: 245.84 / MAX: 277.3 MIN: 226.8 / MAX: 237.29 MIN: 218.37 / MAX: 231.13 MIN: 221.13 / MAX: 240.21 MIN: 221.95 / MAX: 262.93 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 21.70 25.67 19.26 19.47 19.82 19.64 19.47 24.53 25.46 25.30 25.45 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 20.35 19.17 22.62 21.75 23.07 23.00 22.74 18.11 17.36 19.38 19.35
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 5.2.0 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.031, N = 5 SE +/- 0.012, N = 5 SE +/- 0.020, N = 5 SE +/- 0.057, N = 5 SE +/- 0.031, N = 5 SE +/- 0.045, N = 5 SE +/- 0.045, N = 5 SE +/- 0.031, N = 5 SE +/- 0.024, N = 5 SE +/- 0.045, N = 5 SE +/- 0.034, N = 5 6.190 5.897 6.573 6.484 6.755 6.595 6.469 5.206 5.093 5.193 5.180
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: ARES-6 - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 17.05 15.82 18.97 18.06 18.56 18.38 18.51 14.97 14.31 14.81 14.75 1. chrome 86.0.4240.75
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.1835 2.367 3.5505 4.734 5.9175 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.17 4.65 3.97 4.20 4.16 4.18 4.18 5.06 5.26 5.26 5.24 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 21.48 18.04 22.73 21.20 20.92 20.67 20.21 19.28 17.98 17.29 17.19
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.7605 1.521 2.2815 3.042 3.8025 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 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 2.61 2.92 2.56 2.71 2.68 2.71 2.72 3.20 3.36 3.36 3.38 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 5 5600X Ryzen 7 5800X 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.62 0.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
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 2.10.18 Test: auto-levels Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.093, N = 15 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.019, N = 3 SE +/- 0.031, N = 3 SE +/- 0.018, N = 3 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.026, N = 3 11.203 10.442 11.590 11.239 11.916 11.876 12.250 9.593 9.291 9.915 10.314
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.12, N = 4 SE +/- 0.14, N = 4 SE +/- 0.06, N = 4 SE +/- 0.11, N = 4 SE +/- 0.14, N = 4 SE +/- 0.38, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.13, N = 4 SE +/- 0.09, N = 4 SE +/- 0.06, N = 4 26.77 25.30 27.48 26.08 26.81 26.71 26.68 21.65 20.92 21.32 21.46 1. (CC) gcc options: -O2 -std=c99
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.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.36, N = 3 SE +/- 0.20, N = 3 28.66 30.34 25.99 26.99 25.83 25.64 25.37 32.83 33.23 31.12 30.81 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Selenium Benchmark: Maze Solver - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.2375 2.475 3.7125 4.95 6.1875 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 4 5.4 5.5 4.4 4.3 4.4 4.4 4.5 4.3 4.2 4.3 4.4 1. firefox 81.0
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 2.10.18 Test: resize Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.124, N = 3 SE +/- 0.050, N = 3 SE +/- 0.080, N = 3 SE +/- 0.088, N = 3 SE +/- 0.030, N = 3 SE +/- 0.053, N = 3 SE +/- 0.053, N = 3 SE +/- 0.037, N = 3 SE +/- 0.048, N = 15 SE +/- 0.064, N = 3 SE +/- 0.085, N = 3 7.926 6.804 8.236 7.673 7.491 7.381 7.289 6.827 6.301 6.344 6.298
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, Highest Compression Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.015, N = 3 SE +/- 0.025, N = 3 SE +/- 0.078, N = 3 SE +/- 0.067, N = 3 SE +/- 0.056, N = 3 SE +/- 0.087, N = 5 SE +/- 0.002, N = 3 SE +/- 0.013, N = 3 SE +/- 0.033, N = 3 SE +/- 0.019, N = 3 6.387 6.024 6.916 6.567 6.804 6.555 6.748 5.454 5.294 5.340 5.334 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Ryzen 5 5600X Ryzen 7 5800X 700 1400 2100 2800 3500 SE +/- 39.99, N = 3 SE +/- 24.63, N = 3 3144.77 2411.82 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 60 120 180 240 300 SE +/- 0.15, N = 3 SE +/- 0.36, N = 3 SE +/- 0.23, N = 3 SE +/- 2.30, N = 3 SE +/- 0.79, N = 3 SE +/- 0.03, N = 3 SE +/- 3.33, N = 4 SE +/- 0.53, N = 3 SE +/- 0.40, N = 3 SE +/- 0.76, N = 3 SE +/- 0.44, N = 3 223.57 237.26 221.22 232.69 229.31 221.00 225.71 276.46 287.73 281.15 281.53 -lm -lm -lm 1. (CC) gcc options: -O3 -rdynamic
BYTE Unix Benchmark This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 12M 24M 36M 48M 60M SE +/- 24227.92, N = 3 SE +/- 574257.00, N = 3 SE +/- 415561.11, N = 3 SE +/- 523372.80, N = 3 SE +/- 438932.99, N = 3 SE +/- 566907.60, N = 3 SE +/- 529964.65, N = 5 SE +/- 138240.46, N = 3 SE +/- 285322.64, N = 3 SE +/- 501860.59, N = 3 SE +/- 250264.91, N = 3 47964784.2 52005432.9 43647479.3 44883700.9 44081890.7 44714220.6 44123395.7 54945549.9 56745146.9 55937330.1 56105538.1
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.062, N = 22 SE +/- 0.062, N = 23 SE +/- 0.051, N = 22 SE +/- 0.050, N = 20 SE +/- 0.040, N = 25 SE +/- 0.053, N = 25 SE +/- 0.046, N = 25 SE +/- 0.063, N = 22 SE +/- 0.060, N = 23 SE +/- 0.044, N = 25 SE +/- 0.047, N = 23 6.568 6.289 6.481 6.207 6.506 6.355 6.412 5.265 5.066 5.142 5.126 1. LibreOffice 7.0.1.2 00(Build:2)
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: regex_compile Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 140 134 158 150 158 153 153 126 122 123 123
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: H2 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 700 1400 2100 2800 3500 SE +/- 43.74, N = 20 SE +/- 51.94, N = 20 SE +/- 37.27, N = 4 SE +/- 25.42, N = 20 SE +/- 39.66, N = 4 SE +/- 36.35, N = 4 SE +/- 29.31, N = 4 SE +/- 31.96, N = 4 SE +/- 29.79, N = 4 SE +/- 12.57, N = 4 2778 2747 3090 2908 3130 3050 3255 2519 2592 2656 2712
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 160 320 480 640 800 SE +/- 4.28, N = 3 SE +/- 3.99, N = 3 SE +/- 1.07, N = 3 SE +/- 2.82, N = 3 SE +/- 6.66, N = 3 SE +/- 3.42, N = 3 SE +/- 2.40, N = 3 SE +/- 0.93, N = 3 SE +/- 1.90, N = 3 SE +/- 4.52, N = 3 SE +/- 3.47, N = 3 757.0 754.9 721.3 686.9 715.3 705.8 700.5 606.8 587.6 589.9 590.1 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 1.02, N = 3 SE +/- 0.58, N = 3 SE +/- 0.55, N = 3 SE +/- 0.58, N = 3 SE +/- 0.54, N = 3 SE +/- 0.80, N = 3 SE +/- 0.12, N = 3 SE +/- 0.47, N = 3 SE +/- 0.19, N = 3 SE +/- 0.57, N = 3 SE +/- 0.77, N = 3 153.24 163.68 148.98 155.62 151.42 152.93 152.15 185.20 191.71 188.92 187.72 1. chrome 86.0.4240.75
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.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 0 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 7.88 8.08 7.69 8.08 7.73 7.80 7.83 9.68 9.83 9.51 9.50 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
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 0.7.3 Encoder Speed: 8 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.2227 2.4454 3.6681 4.8908 6.1135 SE +/- 0.014, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 SE +/- 0.008, N = 3 SE +/- 0.054, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.012, N = 3 SE +/- 0.024, N = 3 5.434 4.538 5.322 4.733 4.616 4.586 4.453 4.864 4.474 4.264 4.258 1. (CXX) g++ options: -O3 -fPIC
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Selenium Benchmark: Maze Solver - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.1475 2.295 3.4425 4.59 5.7375 SE +/- 0.03, N = 3 SE +/- 0.05, N = 9 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 5.1 5.0 4.2 4.2 4.2 4.2 4.3 4.0 4.0 4.0 4.0 1. chrome 86.0.4240.75
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Ryzen 5 5600X Ryzen 7 5800X 500 1000 1500 2000 2500 SE +/- 5.27, N = 3 SE +/- 10.68, N = 3 2244.48 1760.66 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 10 20 30 40 50 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 36.80 35.20 35.33 36.50 36.20 36.30 36.40 43.45 44.22 44.80 44.40 1. chrome 86.0.4240.75
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 6.93 6.74 7.53 7.19 8.12 8.01 8.10 7.21 6.78 6.38 6.42
Montage Astronomical Image Mosaic Engine Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Montage Astronomical Image Mosaic Engine 6.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 16 32 48 64 80 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.30, N = 3 SE +/- 0.50, N = 3 SE +/- 0.79, N = 3 SE +/- 0.04, N = 3 SE +/- 0.34, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.53, N = 3 SE +/- 0.17, N = 3 70.28 66.37 72.09 69.19 71.62 68.89 69.70 58.14 56.79 57.36 57.72 1. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 15.2 14.3 16.1 15.2 15.8 15.4 15.6 13.2 12.7 12.7 12.7
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: Default Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.3227 0.6454 0.9681 1.2908 1.6135 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 1.374 1.294 1.434 1.367 1.414 1.365 1.369 1.177 1.132 1.153 1.145 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.4925 0.985 1.4775 1.97 2.4625 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.016, N = 3 SE +/- 0.023, N = 3 SE +/- 0.015, N = 3 SE +/- 0.029, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.015, N = 3 2.115 2.009 2.189 2.099 2.175 2.088 2.161 1.821 1.756 1.743 1.729 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 35.10 32.36 38.55 36.46 37.46 37.19 37.23 31.98 30.58 30.88 30.85
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Ryzen 5 5600X Ryzen 7 5800X 500 1000 1500 2000 2500 SE +/- 2.11, N = 3 SE +/- 1.98, N = 3 2225.20 1765.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
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 2.10.18 Test: rotate Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.009, N = 3 SE +/- 0.022, N = 3 SE +/- 0.015, N = 3 SE +/- 0.026, N = 3 SE +/- 0.004, N = 3 SE +/- 0.076, N = 3 SE +/- 0.069, N = 3 SE +/- 0.007, N = 3 SE +/- 0.031, N = 3 SE +/- 0.036, N = 3 SE +/- 0.033, N = 3 10.818 10.404 11.130 10.811 11.145 11.116 11.265 9.224 8.959 9.320 9.431
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.2688 2.5376 3.8064 5.0752 6.344 SE +/- 0.011, N = 3 SE +/- 0.048, N = 3 SE +/- 0.012, N = 3 SE +/- 0.034, N = 3 SE +/- 0.023, N = 3 SE +/- 0.032, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 SE +/- 0.043, N = 3 SE +/- 0.053, N = 3 SE +/- 0.032, N = 3 5.639 5.311 5.528 5.238 5.550 5.456 5.499 4.636 4.488 4.593 4.641
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: raytrace Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 373 353 427 406 428 413 417 352 342 344 344
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 12 24 36 48 60 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.11, N = 3 SE +/- 0.21, N = 3 SE +/- 0.52, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 52.53 49.23 55.21 52.45 54.67 53.69 54.09 46.15 44.36 45.05 45.05
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.25, N = 3 SE +/- 0.28, N = 3 SE +/- 0.33, N = 3 SE +/- 0.68, N = 3 SE +/- 0.56, N = 3 SE +/- 0.25, N = 3 SE +/- 0.58, N = 3 SE +/- 0.32, N = 3 135.0 138.0 136.5 143.2 140.2 142.4 141.8 163.2 168.0 167.0 167.0 1. chrome 86.0.4240.75
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: Antialias Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 34.12 31.73 36.75 34.74 36.78 35.99 36.64 30.89 29.58 30.56 30.74
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 15.45 15.08 15.62 15.04 15.26 14.86 15.64 13.26 12.86 12.63 12.76 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 200 400 600 800 1000 SE +/- 1.67, N = 3 SE +/- 1.86, N = 3 SE +/- 5.81, N = 3 SE +/- 14.81, N = 3 SE +/- 3.48, N = 3 SE +/- 11.59, N = 3 SE +/- 1.15, N = 3 SE +/- 4.51, N = 3 SE +/- 6.36, N = 3 SE +/- 4.04, N = 3 820 773 888 871 888 866 876 739 728 730 718
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 200 400 600 800 1000 SE +/- 0.30, N = 3 SE +/- 7.35, N = 3 SE +/- 3.31, N = 3 SE +/- 7.80, N = 3 SE +/- 11.67, N = 3 SE +/- 10.13, N = 3 SE +/- 6.32, N = 3 SE +/- 0.93, N = 3 SE +/- 1.65, N = 3 SE +/- 1.55, N = 3 SE +/- 3.00, N = 3 741.22 829.30 716.75 732.75 717.42 743.57 751.35 830.95 885.75 871.93 885.60 1. (CC) gcc options: -lm
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 0.7.3 Encoder Speed: 10 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 1.148 2.296 3.444 4.592 5.74 SE +/- 0.014, N = 3 SE +/- 0.018, N = 3 SE +/- 0.008, N = 3 SE +/- 0.027, N = 3 SE +/- 0.020, N = 3 SE +/- 0.060, N = 3 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 SE +/- 0.010, N = 3 SE +/- 0.015, N = 3 SE +/- 0.019, N = 3 5.102 4.379 4.970 4.456 4.395 4.336 4.305 4.574 4.228 4.138 4.133 1. (CXX) g++ options: -O3 -fPIC
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 27.04 25.45 29.67 28.36 29.47 29.07 29.18 25.06 24.16 24.53 24.67
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.089, N = 3 SE +/- 0.094, N = 3 SE +/- 0.080, N = 3 SE +/- 0.041, N = 3 SE +/- 0.049, N = 3 SE +/- 0.092, N = 3 SE +/- 0.083, N = 3 SE +/- 0.045, N = 3 SE +/- 0.091, N = 4 SE +/- 0.098, N = 3 SE +/- 0.062, N = 3 7.681 7.461 8.026 7.757 8.057 7.943 8.074 6.752 6.589 6.747 6.842
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.11, N = 3 SE +/- 0.42, N = 3 SE +/- 0.18, N = 3 SE +/- 0.24, N = 3 SE +/- 0.06, N = 3 SE +/- 0.36, N = 4 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.34, N = 3 SE +/- 0.33, N = 3 29.42 27.75 27.90 26.46 28.50 27.09 27.32 24.63 24.02 24.24 24.57 1. chrome 86.0.4240.75
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, Highest Compression Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 33.16 31.12 32.53 31.20 32.01 32.58 32.30 27.91 27.09 27.62 27.27 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.10, N = 3 SE +/- 1.85, N = 3 SE +/- 0.03, N = 3 SE +/- 0.69, N = 3 SE +/- 2.65, N = 3 SE +/- 2.11, N = 3 SE +/- 0.92, N = 3 SE +/- 3.26, N = 3 SE +/- 0.52, N = 3 SE +/- 0.67, N = 3 SE +/- 0.65, N = 3 165.10 179.16 159.39 168.24 159.96 163.05 165.36 185.18 194.38 189.65 192.12 1. (CC) gcc options: -lm
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.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Twofish Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 100 200 300 400 500 SE +/- 0.12, N = 3 SE +/- 0.30, N = 3 SE +/- 1.90, N = 3 SE +/- 4.92, N = 3 SE +/- 0.11, N = 3 SE +/- 0.67, N = 3 SE +/- 3.56, N = 3 SE +/- 0.94, N = 3 SE +/- 0.04, N = 3 SE +/- 0.97, N = 3 SE +/- 0.69, N = 3 420.58 446.45 390.47 411.27 403.65 393.72 400.12 453.52 474.37 461.36 465.90 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.017, N = 5 SE +/- 0.014, N = 5 SE +/- 0.016, N = 5 SE +/- 0.028, N = 5 SE +/- 0.039, N = 5 SE +/- 0.034, N = 5 SE +/- 0.026, N = 5 SE +/- 0.002, N = 5 SE +/- 0.004, N = 5 SE +/- 0.033, N = 5 SE +/- 0.038, N = 5 7.587 7.173 7.695 7.340 7.579 7.538 7.455 6.598 6.338 6.440 6.373 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.30, N = 3 SE +/- 0.09, N = 3 29.0 26.8 27.0 25.4 26.7 26.2 26.9 24.4 23.9 24.1 24.1 1. firefox 81.0
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: Plotting Isosurface Of A 3D Volume, 1000 Times Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 17.35 16.05 18.66 17.77 18.20 18.27 18.33 16.27 15.77 15.97 15.74 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.33, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 98.7 93.0 105.0 100.0 103.0 101.0 102.0 90.1 88.7 88.7 89.0
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 i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 0.0002 0.0004 0.0006 0.0008 0.001 SE +/- 0.00000106, N = 3 SE +/- 0.00000313, N = 3 SE +/- 0.00000757, N = 3 SE +/- 0.00001084, N = 3 SE +/- 0.00000316, N = 3 SE +/- 0.00000610, N = 15 SE +/- 0.00000624, N = 13 SE +/- 0.00000439, N = 3 SE +/- 0.00000422, N = 3 SE +/- 0.00000408, N = 3 SE +/- 0.00001012, N = 3 0.00073281 0.00070228 0.00073548 0.00069996 0.00074999 0.00075364 0.00076862 0.00068638 0.00066754 0.00065021 0.00064973
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.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 120 240 360 480 600 SE +/- 0.37, N = 3 SE +/- 0.12, N = 3 SE +/- 3.10, N = 3 SE +/- 3.75, N = 3 SE +/- 0.08, N = 3 SE +/- 6.64, N = 3 SE +/- 5.13, N = 3 SE +/- 0.32, N = 3 SE +/- 0.24, N = 3 SE +/- 0.24, N = 3 SE +/- 0.54, N = 3 523.67 556.85 480.70 499.69 492.74 488.01 501.99 539.22 562.60 548.75 550.63 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 15 30 45 60 75 SE +/- 0.06, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.57, N = 3 SE +/- 0.81, N = 3 SE +/- 0.44, N = 3 SE +/- 0.24, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.70, N = 3 SE +/- 0.86, N = 3 69.01 62.64 66.25 66.46 67.79 68.16 69.64 62.79 59.78 60.45 62.55
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 160 320 480 640 800 SE +/- 2.60, N = 3 SE +/- 2.78, N = 3 SE +/- 2.86, N = 3 SE +/- 1.77, N = 3 SE +/- 5.46, N = 3 SE +/- 2.56, N = 3 SE +/- 6.74, N = 3 SE +/- 1.57, N = 3 SE +/- 1.44, N = 3 SE +/- 1.65, N = 3 SE +/- 4.47, N = 3 745.5 709.4 737.2 708.1 745.9 714.9 731.0 664.5 645.8 663.0 673.1 1. firefox 81.0
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 30 60 90 120 150 SE +/- 1.47, N = 4 SE +/- 1.49, N = 3 SE +/- 0.64, N = 3 SE +/- 1.14, N = 3 SE +/- 0.62, N = 3 SE +/- 1.43, N = 3 SE +/- 0.23, N = 3 SE +/- 0.48, N = 3 SE +/- 0.37, N = 3 SE +/- 0.95, N = 3 SE +/- 0.97, N = 3 106.60 113.69 105.77 107.56 105.14 107.15 105.02 115.92 120.20 117.14 117.72 1. firefox 81.0
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.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3800XT Ryzen 9 3900X Ryzen 9 3900XT Ryzen 9 3950X Ryzen 5 5600X Ryzen 7 5800X Ryzen 9 5900X Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 2.75, N = 3 SE +/- 0.25, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.60, N = 3 SE +/- 0.37, N = 3 165.64 176.07 157.47 168.05 162.65 159.83 157.12 169.18 176.44 173.79 177.01 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Ryzen 5 5600X Ryzen 7 5800X 0.6458 1.2916 1.9374 2.5832 3.229 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 2.87 2.59 MIN: 2.79 / MAX: 7.15 MIN: 2.54 / MAX: 3.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Ryzen 5 5600X Ryzen 7 5800X 0.4883 0.9766 1.4649 1.9532 2.4415 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 2.17 1.98 MIN: 2.14 / MAX: 2.97 MIN: 1.96 / MAX: 2.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Ryzen 5 5600X Ryzen 7 5800X 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 15.30 14.37 MIN: 15.06 / MAX: 15.9 MIN: 14.12 / MAX: 18.26 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 2020-09-17 Model: mobilenet-v1-1.0 Ryzen 5 5600X Ryzen 7 5800X 0.9659 1.9318 2.8977 3.8636 4.8295 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 4.293 4.153 MIN: 4.25 / MAX: 4.64 MIN: 4.12 / MAX: 11.36 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 20200916 Target: CPU - Model: blazeface Ryzen 5 5600X Ryzen 7 5800X 0.2205 0.441 0.6615 0.882 1.1025 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.98 0.96 MIN: 0.97 / MAX: 1.01 MIN: 0.94 / MAX: 1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Ryzen 5 5600X Ryzen 7 5800X 14 28 42 56 70 SE +/- 0.18, N = 3 SE +/- 0.01, N = 3 61.72 61.21 MIN: 60.76 / MAX: 66.57 MIN: 60.82 / MAX: 70.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Core i5 10600K Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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: 0xc8 - Thermald 1.9.1Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 1 November 2020 09:16 by user phoronix.
Core i9 10900K Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 16 October 2020 21:33 by user phoronix.
Ryzen 5 3600X Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 October 2020 10:56 by user phoronix.
Ryzen 7 3800XT Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 October 2020 16:13 by user phoronix.
Ryzen 9 3900X Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 18 October 2020 14:22 by user phoronix.
Ryzen 9 3900XT Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 17 October 2020 19:02 by user phoronix.
Ryzen 9 3950X Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 October 2020 14:23 by user phoronix.
Ryzen 5 5600X Processor: AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 5 November 2020 20:13 by user phoronix.
Ryzen 7 5800X Processor: AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 7 November 2020 14:17 by user phoronix.
Ryzen 9 5900X Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 19 October 2020 20:47 by user phoronix.
Ryzen 9 5950X Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 ondemand - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security 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 21 October 2020 21:08 by user phoronix.