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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.129211, N = 3 SE +/- 0.081541, N = 3 SE +/- 0.064485, N = 15 SE +/- 0.056961, N = 3 SE +/- 0.046914, N = 7 SE +/- 0.045288, N = 3 SE +/- 0.031737, N = 8 SE +/- 0.063332, N = 3 SE +/- 0.031404, N = 3 SE +/- 0.042599, N = 3 SE +/- 0.010830, N = 3 9.065396 7.431249 5.476733 4.236534 4.167965 5.205028 3.004623 4.019649 2.285211 5.303240 2.740891 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 29.55 37.54 33.84 45.82 46.74 54.36 65.34 70.74 90.23 59.61 108.06 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8K 16K 24K 32K 40K SE +/- 100.07, N = 3 SE +/- 53.48, N = 3 SE +/- 35.59, N = 3 SE +/- 62.78, N = 3 SE +/- 49.65, N = 3 SE +/- 27.14, N = 3 SE +/- 22.65, N = 3 SE +/- 10.67, N = 3 SE +/- 8.45, N = 3 SE +/- 35.89, N = 3 SE +/- 1.20, N = 3 38305 30214 28096 20729 20244 21344 14494 16301 10481 23591 13022 -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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 16K 32K 48K 64K 80K SE +/- 44.40, N = 3 SE +/- 55.59, N = 3 SE +/- 24.81, N = 3 SE +/- 14.11, N = 3 SE +/- 45.94, N = 3 SE +/- 29.84, N = 3 SE +/- 22.25, N = 3 SE +/- 21.62, N = 3 SE +/- 13.11, N = 3 SE +/- 14.95, N = 3 SE +/- 7.26, N = 3 74570.42 61777.85 58788.47 43919.31 42773.97 44048.30 30745.61 32451.25 22344.15 45909.65 25302.45 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.014, N = 3 SE +/- 0.012, N = 3 SE +/- 0.010, N = 3 SE +/- 0.015, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 5.655 7.206 6.704 9.068 9.245 10.272 12.999 13.436 18.012 10.353 18.759 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 800K 1600K 2400K 3200K 4000K SE +/- 427.88, N = 3 SE +/- 569.48, N = 3 SE +/- 289.04, N = 3 SE +/- 568.71, N = 3 SE +/- 594.04, N = 3 SE +/- 333.18, N = 3 SE +/- 651.16, N = 3 SE +/- 979.40, N = 3 SE +/- 752.71, N = 3 SE +/- 151.69, N = 3 SE +/- 2574.96, N = 3 1212237 1598013 1288407 1761010 1795013 2159383 2351497 2946000 3356693 2139593 3938063
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40K 80K 120K 160K 200K SE +/- 43.98, N = 3 SE +/- 47.41, N = 3 SE +/- 58.97, N = 3 SE +/- 28.10, N = 3 SE +/- 43.17, N = 3 SE +/- 38.40, N = 3 SE +/- 54.42, N = 3 SE +/- 28.62, N = 3 SE +/- 32.84, N = 3 SE +/- 153.73, N = 3 SE +/- 52.68, N = 3 62588.7 83458.7 66530.3 92214.2 93903.6 110856.0 120735.0 150133.0 171301.0 114230.0 202481.0
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 900K 1800K 2700K 3600K 4500K SE +/- 792.49, N = 3 SE +/- 185.20, N = 3 SE +/- 902.45, N = 3 SE +/- 699.74, N = 3 SE +/- 793.87, N = 3 SE +/- 223.68, N = 3 SE +/- 1145.44, N = 3 SE +/- 515.65, N = 3 SE +/- 2496.69, N = 3 SE +/- 212.21, N = 3 SE +/- 2267.19, N = 3 1346957 1780380 1432403 1961940 1999070 2391460 2600840 3267580 3713107 2372930 4350823
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 30.22 37.78 31.33 42.03 42.89 54.86 60.02 71.90 82.44 52.13 94.60 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60K 120K 180K 240K 300K SE +/- 64.29, N = 3 SE +/- 69.62, N = 3 SE +/- 47.83, N = 3 SE +/- 149.12, N = 3 SE +/- 17.57, N = 3 SE +/- 51.27, N = 3 SE +/- 92.04, N = 3 SE +/- 81.10, N = 3 SE +/- 12.72, N = 3 SE +/- 7.51, N = 3 SE +/- 9.85, N = 3 94678.2 123127.0 100527.0 135602.0 138101.0 165819.0 180202.0 220801.0 251199.0 167595.0 296354.0
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 500K 1000K 1500K 2000K 2500K SE +/- 577.35, N = 3 SE +/- 2027.59, N = 3 SE +/- 9609.02, N = 3 SE +/- 1666.67, N = 3 SE +/- 1201.85, N = 3 SE +/- 1666.67, N = 3 SE +/- 1317.78, N = 3 SE +/- 1193.14, N = 3 SE +/- 390.65, N = 3 SE +/- 10837.18, N = 3 SE +/- 620.08, N = 3 2226000 1840667 1868000 1413667 1366667 1297667 991599 963686 724083 1331333 752998 -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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60 120 180 240 300 SE +/- 0.05, N = 3 SE +/- 1.28, N = 3 SE +/- 0.73, N = 3 SE +/- 0.49, N = 3 SE +/- 0.24, N = 3 SE +/- 0.44, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.35, N = 3 SE +/- 0.03, N = 3 286.17 233.83 236.58 182.97 177.75 168.42 128.78 125.94 94.03 192.75 114.36 MIN: 1 / MAX: 1102 MIN: 1 / MAX: 918 MIN: 1 / MAX: 853 MIN: 1 / MAX: 652 MIN: 1 / MAX: 634 MIN: 1 / MAX: 670 MIN: 1 / MAX: 463 MIN: 1 / MAX: 503 MIN: 1 / MAX: 339 MIN: 1 / MAX: 767 MIN: 1 / MAX: 458
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 70 140 210 280 350 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.37, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 101.25 121.94 105.63 140.27 145.09 170.39 199.87 231.33 274.19 170.21 306.90 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40K 80K 120K 160K 200K SE +/- 45.89, N = 3 SE +/- 56.67, N = 3 SE +/- 29.88, N = 3 SE +/- 14.97, N = 3 SE +/- 68.68, N = 3 SE +/- 38.44, N = 3 SE +/- 113.90, N = 3 SE +/- 45.21, N = 3 SE +/- 18.84, N = 3 SE +/- 268.60, N = 3 SE +/- 26.52, N = 3 67914.5 91290.4 68497.9 94517.0 96280.2 122169.0 123482.0 164490.0 175736.0 117619.0 205404.0
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.49, N = 3 SE +/- 0.56, N = 3 SE +/- 0.27, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 SE +/- 0.20, N = 3 SE +/- 1.12, N = 3 66.15 80.39 79.70 100.55 103.71 108.67 133.84 146.32 180.78 109.47 198.11 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 70 140 210 280 350 SE +/- 0.13, N = 3 SE +/- 0.41, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 SE +/- 0.29, N = 3 SE +/- 0.27, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.85, N = 3 SE +/- 0.79, N = 3 103.62 123.34 120.53 159.41 164.71 168.86 227.00 231.62 309.61 170.15 306.48 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, 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 12.85 15.41 13.55 17.81 18.39 21.37 25.13 28.89 34.37 21.31 38.01 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.00617, N = 3 SE +/- 0.00462, N = 3 SE +/- 0.00820, N = 3 SE +/- 0.00634, N = 3 SE +/- 0.03302, N = 3 SE +/- 0.00626, N = 3 SE +/- 0.06515, N = 15 SE +/- 0.01194, N = 3 SE +/- 0.02579, N = 3 SE +/- 0.01117, N = 3 SE +/- 0.02430, N = 3 2.27610 2.72467 2.47606 3.15304 3.26437 3.53951 4.48876 4.92077 6.59016 2.96253 5.45967 MIN: 2.2 MIN: 2.66 MIN: 2.42 MIN: 3.08 MIN: 3.14 MIN: 3.44 MIN: 4.22 MIN: 4.73 MIN: 6.32 MIN: 2.92 MIN: 5.25 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7K 14K 21K 28K 35K SE +/- 90.96, N = 3 SE +/- 55.57, N = 3 SE +/- 105.68, N = 3 SE +/- 54.08, N = 3 SE +/- 51.29, N = 3 SE +/- 9.94, N = 3 SE +/- 50.98, N = 3 SE +/- 53.82, N = 3 SE +/- 45.92, N = 3 SE +/- 95.40, N = 3 SE +/- 22.70, N = 3 32561 26420 28416 21517 20910 18824 15422 14310 11409 19765 11261
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 12M 24M 36M 48M 60M SE +/- 325858.19, N = 3 SE +/- 241698.18, N = 3 SE +/- 127032.63, N = 3 SE +/- 140100.66, N = 3 SE +/- 69587.97, N = 3 SE +/- 96227.67, N = 3 SE +/- 154542.53, N = 3 SE +/- 136771.99, N = 3 SE +/- 72350.39, N = 3 SE +/- 66368.72, N = 3 SE +/- 21979.47, N = 3 56742350 45601255 52407367 38915395 38124311 32520319 27808441 24584351 20871771 35726813 19653079 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.022, N = 3 SE +/- 0.019, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.013, N = 3 SE +/- 0.057, N = 3 4.937 6.160 5.200 6.944 7.092 8.845 9.847 11.606 13.517 7.905 14.204 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.1054, N = 3 SE +/- 0.0395, N = 3 SE +/- 0.1561, N = 3 SE +/- 0.0220, N = 3 SE +/- 0.0177, N = 3 SE +/- 0.0349, N = 3 SE +/- 0.0316, N = 3 SE +/- 0.1142, N = 3 SE +/- 0.0234, N = 3 SE +/- 0.0304, N = 3 SE +/- 0.1152, N = 3 23.7842 19.4679 19.8746 15.2873 14.9594 13.8435 11.0482 10.3912 8.3025 17.7041 9.7946 MIN: 23.34 / MAX: 24.54 MIN: 19.24 / MAX: 19.87 MIN: 19.42 / MAX: 20.41 MIN: 15.12 / MAX: 15.64 MIN: 14.82 / MAX: 15.29 MIN: 13.69 / MAX: 14.23 MIN: 10.81 / MAX: 11.32 MIN: 9.88 / MAX: 10.68 MIN: 8.23 / MAX: 8.46 MIN: 17.49 / MAX: 18.13 MIN: 9.48 / MAX: 10.12
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.8078 1.6156 2.4234 3.2312 4.039 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 3.59 2.93 3.29 2.50 2.40 2.11 1.80 1.61 1.33 2.21 1.26 MIN: 3.43 / MAX: 3.83 MIN: 2.79 / MAX: 3.06 MIN: 3.15 / MAX: 3.44 MIN: 2.39 / MAX: 2.58 MIN: 2.29 / MAX: 2.49 MIN: 2 / MAX: 2.2 MIN: 1.72 / MAX: 1.86 MIN: 1.53 / MAX: 1.65 MIN: 1.26 / MAX: 1.37 MIN: 2.12 / MAX: 2.33 MIN: 1.22 / MAX: 1.28
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60K 120K 180K 240K 300K 267071 215925 248077 188522 183744 162272 131827 116652 93929 183810 101498 -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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 28.26 33.80 31.65 40.67 41.27 46.74 54.97 60.73 73.83 46.54 80.08 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.1569, N = 3 SE +/- 0.1287, N = 3 SE +/- 0.0376, N = 3 SE +/- 0.0477, N = 3 SE +/- 0.0537, N = 3 SE +/- 0.0933, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.0259, N = 3 SE +/- 0.0182, N = 3 SE +/- 0.0261, N = 3 24.2757 19.9229 21.0440 16.0926 15.6590 14.1771 11.5679 10.6691 8.6544 15.4247 8.5744 MIN: 23.87 / MAX: 25.12 MIN: 19.53 / MAX: 20.41 MIN: 20.83 / MAX: 21.49 MIN: 15.89 / MAX: 16.56 MIN: 15.48 / MAX: 16.06 MIN: 13.98 / MAX: 14.61 MIN: 11.44 / MAX: 11.85 MIN: 10.59 / MAX: 10.83 MIN: 8.58 / MAX: 8.85 MIN: 14.96 / MAX: 15.79 MIN: 8.48 / MAX: 8.74
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60 120 180 240 300 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 3 SE +/- 0.98, N = 3 SE +/- 0.45, N = 3 102.26 124.61 107.97 141.23 146.60 176.14 200.06 233.69 271.38 162.99 288.99
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 90 180 270 360 450 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 420 330 407 301 298 228 215 176 157 269 150 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 140 280 420 560 700 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 SE +/- 0.14, N = 3 SE +/- 0.24, N = 3 SE +/- 0.42, N = 3 SE +/- 0.36, N = 3 SE +/- 0.22, N = 3 SE +/- 0.50, N = 3 SE +/- 0.62, N = 3 SE +/- 0.66, N = 3 SE +/- 1.21, N = 3 226.15 277.96 230.94 303.72 317.03 396.77 433.37 525.71 596.32 352.16 631.26
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.47, N = 3 SE +/- 0.11, N = 3 SE +/- 1.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.87, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 1.56, N = 4 43.46 52.36 46.37 60.12 73.97 73.42 87.94 99.66 117.56 65.98 120.64 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 10.27 12.17 10.82 13.29 13.60 17.10 22.29 21.28 27.16 18.34 28.49 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 13M 26M 39M 52M 65M SE +/- 122568.73, N = 3 SE +/- 623050.05, N = 3 SE +/- 711272.98, N = 4 SE +/- 457800.10, N = 3 SE +/- 139565.35, N = 3 SE +/- 119860.92, N = 3 SE +/- 148329.91, N = 3 SE +/- 238676.97, N = 3 SE +/- 31310.34, N = 3 SE +/- 439150.46, N = 3 SE +/- 67429.43, N = 3 59943519 49348712 52929484 40082309 38836873 35098629 29158077 27275192 21747154 40392459 22294478
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.00273, N = 3 SE +/- 0.01327, N = 3 SE +/- 0.00924, N = 3 SE +/- 0.08565, N = 14 SE +/- 0.00415, N = 3 SE +/- 0.00400, N = 3 SE +/- 0.01889, N = 3 SE +/- 0.00390, N = 3 SE +/- 0.02845, N = 3 SE +/- 0.01251, N = 3 SE +/- 0.01150, N = 3 3.78827 4.68310 4.38473 5.79338 5.80923 5.69163 7.58343 7.46449 10.43780 5.14603 8.89984 -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=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -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 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 10.80 8.47 10.26 7.56 7.37 6.79 5.96 5.16 4.50 6.80 3.93 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.8573 1.7146 2.5719 3.4292 4.2865 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 3.81 3.13 3.64 2.73 2.64 2.27 1.93 1.67 1.42 2.46 1.40 MIN: 3.73 / MAX: 3.9 MIN: 3.07 / MAX: 3.18 MIN: 3.55 / MAX: 3.67 MIN: 2.68 / MAX: 2.76 MIN: 2.59 / MAX: 2.68 MIN: 2.21 / MAX: 2.36 MIN: 1.89 / MAX: 1.98 MIN: 1.62 / MAX: 1.73 MIN: 1.38 / MAX: 1.47 MIN: 2.39 / MAX: 2.52 MIN: 1.37 / MAX: 1.45
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.00440, N = 3 SE +/- 0.01483, N = 3 SE +/- 0.00557, N = 3 SE +/- 0.01628, N = 3 SE +/- 0.01161, N = 3 SE +/- 0.01169, N = 3 SE +/- 0.02615, N = 3 SE +/- 0.01067, N = 3 SE +/- 0.02071, N = 3 SE +/- 0.01244, N = 3 SE +/- 0.00733, N = 3 4.96614 5.95664 5.61440 7.24960 7.42195 7.65881 9.87930 10.25030 13.51140 7.00728 12.23220 -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=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -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 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 13.14 15.68 13.54 17.38 17.93 20.45 24.37 27.20 33.17 20.07 35.68 -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=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -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 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1000 2000 3000 4000 5000 SE +/- 5.73, N = 3 SE +/- 0.46, N = 3 SE +/- 0.54, N = 3 SE +/- 2.69, N = 3 SE +/- 1.56, N = 3 SE +/- 0.59, N = 3 SE +/- 0.77, N = 3 SE +/- 0.64, N = 3 SE +/- 0.12, N = 3 SE +/- 13.38, N = 3 SE +/- 6.82, N = 3 4897.3 3858.3 4743.4 3551.0 3489.8 2636.4 2490.6 2027.3 1806.4 3712.3 2038.2 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 10.94 8.60 10.40 7.71 7.51 6.92 6.07 5.25 4.59 6.96 4.04 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.1286, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.1616, N = 3 SE +/- 0.0456, N = 3 SE +/- 0.1843, N = 3 SE +/- 0.2329, N = 3 SE +/- 0.0774, N = 3 SE +/- 0.0501, N = 3 SE +/- 0.0507, N = 3 SE +/- 0.0173, N = 3 SE +/- 0.0502, N = 3 25.5897 20.4798 21.6635 16.8323 16.5255 15.3152 12.4007 12.1775 9.5120 20.4299 12.3370 MIN: 25.22 / MAX: 26.09 MIN: 20.33 / MAX: 20.81 MIN: 21.35 / MAX: 22.34 MIN: 16.65 / MAX: 17.13 MIN: 15.44 / MAX: 17.03 MIN: 14.69 / MAX: 15.75 MIN: 12.25 / MAX: 12.74 MIN: 12 / MAX: 12.41 MIN: 9.4 / MAX: 9.74 MIN: 20.28 / MAX: 20.88 MIN: 12.23 / MAX: 12.58
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.6457 1.2914 1.9371 2.5828 3.2285 SE +/- 0.00545, N = 3 SE +/- 0.00218, N = 3 SE +/- 0.00338, N = 3 SE +/- 0.00173, N = 3 SE +/- 0.00121, N = 3 SE +/- 0.00157, N = 3 SE +/- 0.00102, N = 3 SE +/- 0.00099, N = 3 SE +/- 0.00119, N = 3 SE +/- 0.00955, N = 3 SE +/- 0.00373, N = 3 1.07098 1.27408 1.14997 1.49526 1.54488 1.78164 2.11711 2.37935 2.86995 1.23607 2.08559
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 110 220 330 440 550 192.18 224.29 208.36 259.33 267.07 305.74 349.40 397.24 470.18 299.91 511.74
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 11 22 33 44 55 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 48.71 43.15 43.33 36.59 35.95 32.98 28.00 22.60 18.51 38.23 21.38 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 50 100 150 200 250 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.28, N = 3 SE +/- 0.35, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.18, N = 3 SE +/- 0.15, N = 3 SE +/- 0.67, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 78.28 95.02 81.77 106.80 111.61 134.54 150.76 178.17 205.38 114.70 203.69
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.1295, N = 3 SE +/- 0.0945, N = 3 SE +/- 0.1585, N = 3 SE +/- 0.0456, N = 3 SE +/- 0.1165, N = 3 SE +/- 0.0477, N = 3 SE +/- 0.0407, N = 3 SE +/- 0.0495, N = 3 SE +/- 0.0493, N = 3 SE +/- 0.1053, N = 3 SE +/- 0.0117, N = 3 25.0722 20.3789 21.8692 16.9900 16.8430 15.2451 12.5210 11.9231 9.6303 17.6307 10.0729 MIN: 24.83 / MAX: 25.95 MIN: 20.06 / MAX: 20.8 MIN: 21.44 / MAX: 22.58 MIN: 16.82 / MAX: 17.33 MIN: 16.53 / MAX: 17.33 MIN: 15.12 / MAX: 15.6 MIN: 12.41 / MAX: 12.79 MIN: 11.25 / MAX: 12.08 MIN: 9.54 / MAX: 9.84 MIN: 17.35 / MAX: 18.02 MIN: 10.02 / MAX: 10.19
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 70 140 210 280 350 117.67 142.65 119.86 156.53 161.51 196.74 214.51 258.69 291.01 178.12 305.77
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 15.96 18.72 18.30 22.63 22.88 24.82 29.32 31.67 38.67 25.18 41.40 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.2861 2.5722 3.8583 5.1444 6.4305 SE +/- 0.012, N = 3 SE +/- 0.016, N = 15 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.026, N = 8 SE +/- 0.037, N = 3 SE +/- 0.053, N = 3 SE +/- 0.017, N = 3 SE +/- 0.049, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 3.849 3.058 5.716 4.022 3.988 2.215 3.375 2.691 3.960 2.823 3.401 MIN: 3.7 / MAX: 14.25 MIN: 2.86 / MAX: 15.6 MIN: 5.49 / MAX: 6.8 MIN: 3.91 / MAX: 6.2 MIN: 3.78 / MAX: 15.56 MIN: 2.13 / MAX: 2.76 MIN: 3.24 / MAX: 13.21 MIN: 2.63 / MAX: 4.15 MIN: 3.84 / MAX: 5.18 MIN: 2.75 / MAX: 4.11 MIN: 3.33 / MAX: 5.99 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 13 26 39 52 65 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 23.01 27.42 23.51 30.58 31.53 37.33 42.77 50.22 58.73 33.73 59.34 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 400 800 1200 1600 2000 SE +/- 1.20, N = 3 SE +/- 1.73, N = 3 SE +/- 2.03, N = 3 SE +/- 0.58, N = 3 SE +/- 1.86, N = 3 SE +/- 0.88, N = 3 SE +/- 1.45, N = 3 SE +/- 0.67, N = 3 SE +/- 1.45, N = 3 1893 1610 1829 1415 1432 1187 1031 915 760 1264 739 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60 120 180 240 300 111.39 134.45 125.26 155.82 160.13 171.70 199.43 225.90 265.42 166.41 282.58
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 19.02 22.02 20.78 25.06 25.77 30.53 33.93 38.57 43.90 29.04 47.83
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.065, N = 3 SE +/- 0.117, N = 3 SE +/- 0.251, N = 15 SE +/- 0.144, N = 3 SE +/- 0.087, N = 3 SE +/- 0.159, N = 15 SE +/- 0.073, N = 3 SE +/- 0.083, N = 3 SE +/- 0.012, N = 3 SE +/- 0.035, N = 3 SE +/- 0.018, N = 3 13.091 10.719 11.541 9.487 9.262 7.115 6.880 6.052 5.266 8.701 5.293 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3K 6K 9K 12K 15K SE +/- 14.40, N = 3 SE +/- 8.30, N = 3 SE +/- 34.34, N = 3 SE +/- 3.76, N = 3 SE +/- 28.66, N = 3 SE +/- 9.53, N = 3 SE +/- 38.82, N = 3 SE +/- 3.08, N = 3 SE +/- 26.31, N = 3 SE +/- 69.83, N = 3 SE +/- 16.16, N = 3 13518.29 10990.54 12650.24 8748.79 9125.69 8332.97 7092.34 6222.63 5700.85 9817.40 5477.65 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3K 6K 9K 12K 15K SE +/- 16.60, N = 3 SE +/- 11.51, N = 3 SE +/- 122.60, N = 3 SE +/- 36.37, N = 3 SE +/- 41.23, N = 3 SE +/- 9.82, N = 3 SE +/- 17.51, N = 3 SE +/- 5.04, N = 3 SE +/- 10.70, N = 3 SE +/- 17.62, N = 3 SE +/- 15.37, N = 3 13580.75 10933.33 12280.85 8760.84 9097.74 8400.29 7134.90 6330.56 5795.79 9817.08 5506.56 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.020, N = 3 SE +/- 0.009, N = 3 SE +/- 0.013, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 6.063 5.315 5.320 4.493 4.411 3.934 3.347 2.961 2.465 4.320 2.707 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 200 400 600 800 1000 SE +/- 4.72, N = 3 SE +/- 2.01, N = 3 SE +/- 1.05, N = 3 SE +/- 1.39, N = 3 SE +/- 0.83, N = 3 SE +/- 1.11, N = 3 SE +/- 1.57, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 1.29, N = 3 SE +/- 0.45, N = 3 1025.44 873.70 829.79 684.39 670.09 733.43 545.54 576.38 420.46 706.15 417.53 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.00365, N = 3 SE +/- 0.01329, N = 3 SE +/- 0.00337, N = 3 SE +/- 0.01077, N = 3 SE +/- 0.00218, N = 3 SE +/- 0.01773, N = 3 SE +/- 0.02969, N = 3 SE +/- 0.01096, N = 3 SE +/- 0.11188, N = 3 SE +/- 0.00812, N = 3 SE +/- 0.10039, N = 3 3.71587 4.71670 4.29713 5.25366 5.08460 5.49973 6.86557 7.60324 9.02336 4.78766 8.71910 MIN: 3.65 MIN: 4.35 MIN: 4.2 MIN: 5.14 MIN: 5.02 MIN: 5.39 MIN: 6.67 MIN: 7.37 MIN: 8.56 MIN: 4.68 MIN: 8.56 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 38.43 30.56 36.26 27.66 27.34 29.17 25.54 20.47 17.89 28.39 16.12 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 39.37 31.47 37.16 28.56 28.13 30.03 26.20 20.98 18.36 29.36 16.67 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 16 32 48 64 80 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 29.82 34.16 33.47 39.52 40.48 45.33 51.24 56.22 65.27 44.87 70.34
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 11 22 33 44 55 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 48.99 41.70 45.92 36.87 36.08 34.77 30.13 26.22 22.84 35.25 20.85 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.64, N = 3 SE +/- 0.47, N = 3 SE +/- 0.56, N = 3 SE +/- 0.60, N = 3 SE +/- 0.50, N = 3 SE +/- 0.35, N = 3 SE +/- 0.51, N = 3 SE +/- 0.56, N = 3 SE +/- 0.56, N = 3 SE +/- 0.50, N = 3 SE +/- 0.71, N = 3 45.42 52.27 47.36 56.78 57.91 71.21 76.69 89.84 100.40 63.95 106.43
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 26.59 23.74 25.17 21.16 20.64 19.50 16.95 14.63 12.75 19.57 11.47 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 2.09, N = 6 SE +/- 2.62, N = 3 SE +/- 1.78, N = 3 SE +/- 2.00, N = 4 SE +/- 1.56, N = 3 SE +/- 0.95, N = 3 SE +/- 0.83, N = 3 SE +/- 1.17, N = 4 SE +/- 1.15, N = 3 SE +/- 1.27, N = 3 SE +/- 0.59, N = 3 172.75 158.81 162.49 139.09 136.32 112.90 98.32 93.58 77.19 126.19 75.14 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 4 26.50 23.54 23.09 19.65 19.37 15.14 12.48 14.47 11.70 18.81 12.56 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20K 40K 60K 80K 100K SE +/- 79.67, N = 3 SE +/- 80.31, N = 3 SE +/- 191.60, N = 3 SE +/- 28.54, N = 3 SE +/- 286.83, N = 3 SE +/- 144.14, N = 3 SE +/- 139.97, N = 3 SE +/- 206.95, N = 3 SE +/- 44.51, N = 3 SE +/- 35.83, N = 3 SE +/- 325.15, N = 3 94779 89437 90071 77550 76909 66087 56370 54132 43855 64772 41897 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.28, N = 3 SE +/- 0.12, N = 3 SE +/- 0.56, N = 3 SE +/- 0.37, N = 3 SE +/- 0.34, N = 3 SE +/- 0.09, N = 3 SE +/- 1.55, N = 3 SE +/- 0.09, N = 3 SE +/- 0.81, N = 3 SE +/- 1.08, N = 15 SE +/- 2.07, N = 3 67.90 70.61 77.85 83.19 86.30 91.56 113.80 121.69 150.81 93.11 152.56
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 200 400 600 800 1000 SE +/- 4.08, N = 3 SE +/- 1.43, N = 3 SE +/- 4.14, N = 3 SE +/- 2.72, N = 3 SE +/- 3.29, N = 3 SE +/- 0.81, N = 3 SE +/- 0.22, N = 3 SE +/- 1.76, N = 3 SE +/- 1.66, N = 3 SE +/- 2.33, N = 3 SE +/- 0.78, N = 3 361.17 402.44 364.33 432.30 446.18 548.76 586.16 687.97 748.56 506.57 807.29
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 50K 100K 150K 200K 250K SE +/- 317.75, N = 3 SE +/- 519.62, N = 3 SE +/- 197.01, N = 3 SE +/- 739.92, N = 3 SE +/- 186.00, N = 3 SE +/- 963.62, N = 3 SE +/- 928.82, N = 3 SE +/- 95.69, N = 3 SE +/- 192.72, N = 3 SE +/- 273.40, N = 3 SE +/- 40.25, N = 3 106372 122229 117199 139014 140368 137424 156768 180417 213644 147694 236704
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, 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 +/- 0.02, N = 3 13.74 11.91 12.89 10.46 11.04 9.05 7.65 6.97 6.36 11.10 6.87
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.8145 1.629 2.4435 3.258 4.0725 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.62 3.06 3.25 2.62 2.78 2.27 1.94 1.80 1.68 3.34 2.11 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.8123 1.6246 2.4369 3.2492 4.0615 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 3.61 3.06 3.27 2.61 2.78 2.27 1.94 1.78 1.68 3.29 2.10 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 70 140 210 280 350 SE +/- 0.55, N = 3 SE +/- 0.56, N = 3 SE +/- 1.14, N = 3 SE +/- 0.37, N = 3 SE +/- 1.41, N = 3 SE +/- 1.08, N = 3 SE +/- 0.55, N = 3 SE +/- 0.23, N = 3 SE +/- 1.94, N = 3 SE +/- 2.01, N = 3 SE +/- 1.39, N = 3 161.22 179.87 207.12 220.22 232.66 206.31 263.00 282.75 318.34 214.09 344.92 MIN: 159.59 MIN: 178.58 MIN: 203.26 MIN: 218.35 MIN: 229.79 MIN: 202.97 MIN: 260.82 MIN: 281.12 MIN: 312.42 MIN: 206.29 MIN: 339.7 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.3015 0.603 0.9045 1.206 1.5075 SE +/- 0.008, N = 4 SE +/- 0.006, N = 15 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.012, N = 6 SE +/- 0.016, N = 3 SE +/- 0.011, N = 15 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 0.627 0.684 0.697 0.805 0.842 0.786 1.007 1.019 1.340 0.781 1.295 MIN: 0.5 / MAX: 1.04 MIN: 0.56 / MAX: 0.94 MIN: 0.57 / MAX: 1.33 MIN: 0.69 / MAX: 1.14 MIN: 0.73 / MAX: 1.13 MIN: 0.71 / MAX: 1.14 MIN: 0.88 / MAX: 1.38 MIN: 0.95 / MAX: 1.37 MIN: 1.16 / MAX: 1.86 MIN: 0.71 / MAX: 1.21 MIN: 1.2 / MAX: 1.71
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.13, N = 3 SE +/- 0.22, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 30.3 28.3 27.3 25.1 24.7 25.8 21.9 22.0 18.9 18.3 14.4
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.024, N = 3 SE +/- 0.051, N = 3 SE +/- 0.041, N = 3 SE +/- 0.109, N = 3 SE +/- 0.090, N = 3 SE +/- 0.023, N = 3 SE +/- 0.050, N = 3 SE +/- 0.038, N = 3 SE +/- 0.092, N = 3 SE +/- 0.019, N = 3 SE +/- 0.134, N = 3 6.764 7.495 7.276 8.187 8.613 9.051 9.625 12.308 13.982 8.099 14.129
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.00620, N = 3 SE +/- 0.01689, N = 3 SE +/- 0.03194, N = 3 SE +/- 0.01604, N = 3 SE +/- 0.04241, N = 7 SE +/- 0.01164, N = 3 SE +/- 0.06254, N = 15 SE +/- 0.02155, N = 3 SE +/- 0.04407, N = 15 SE +/- 0.01927, N = 3 SE +/- 0.01019, N = 3 3.20910 3.00338 4.03926 4.81380 3.80031 3.12133 6.23646 4.22337 5.73687 3.28562 4.33647 MIN: 3.05 MIN: 2.77 MIN: 3.77 MIN: 4.58 MIN: 3.45 MIN: 2.98 MIN: 5.63 MIN: 4.01 MIN: 5.47 MIN: 3.02 MIN: 4.21 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1300 2600 3900 5200 6500 SE +/- 17.79, N = 3 SE +/- 1.96, N = 3 SE +/- 11.36, N = 3 SE +/- 9.17, N = 3 SE +/- 11.08, N = 3 SE +/- 11.91, N = 3 SE +/- 16.97, N = 3 SE +/- 6.00, N = 3 SE +/- 5.02, N = 3 SE +/- 3.56, N = 3 SE +/- 10.49, N = 3 4896.1 5879.8 4059.1 4483.5 4499.8 4715.8 4265.9 6000.4 4561.3 2922.3 3633.4 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.11, N = 15 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.40, N = 3 12.24 13.25 14.73 16.03 16.26 16.68 19.01 20.24 24.81 16.99 24.80
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 10 20 30 40 50 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.18, N = 3 SE +/- 0.34, N = 15 SE +/- 0.64, N = 3 22.20 22.77 25.66 26.86 28.13 28.13 32.72 31.04 36.34 33.14 44.94
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.3095 2.619 3.9285 5.238 6.5475 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.37 4.14 5.82 5.39 5.40 2.88 5.55 3.10 5.64 5.06 5.33 MIN: 4.29 / MAX: 5.32 MIN: 4.08 / MAX: 5.04 MIN: 5.69 / MAX: 6.18 MIN: 5.23 / MAX: 6.48 MIN: 5.25 / MAX: 6.16 MIN: 2.83 / MAX: 4.04 MIN: 5.45 / MAX: 10.07 MIN: 3.03 / MAX: 4.25 MIN: 5.52 / MAX: 7.35 MIN: 4.97 / MAX: 6.13 MIN: 5.16 / MAX: 6.82 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.44, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.39, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.63, N = 3 52.75 58.65 59.40 67.30 68.18 71.48 80.88 88.14 101.97 71.86 106.41 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 50 100 150 200 250 SE +/- 0.45, N = 3 SE +/- 0.23, N = 3 SE +/- 0.53, N = 3 SE +/- 0.41, N = 3 SE +/- 0.46, N = 3 SE +/- 0.46, N = 3 SE +/- 0.20, N = 3 SE +/- 0.55, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.14, N = 3 220.35 206.64 200.83 180.29 180.89 134.96 119.86 126.80 109.32 186.01 122.76 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 110 220 330 440 550 SE +/- 3.07, N = 3 SE +/- 1.54, N = 3 SE +/- 4.86, N = 3 SE +/- 6.33, N = 3 SE +/- 16.54, N = 3 SE +/- 13.92, N = 3 SE +/- 2.43, N = 3 SE +/- 4.76, N = 3 SE +/- 6.73, N = 3 SE +/- 1.18, N = 3 SE +/- 2.26, N = 3 521.05 495.79 374.19 371.29 310.86 471.05 262.48 338.34 306.45 390.00 265.78 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.28, N = 3 32.20 35.21 35.68 40.43 41.11 43.36 48.52 53.53 61.34 42.77 63.90 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.33, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 86.94 69.63 82.24 63.26 62.50 69.34 60.10 55.56 48.14 69.90 43.82 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.42, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 SE +/- 0.35, N = 3 SE +/- 0.43, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 155.81 130.30 145.91 119.07 117.56 129.30 112.90 99.92 85.57 129.64 79.10 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.059, N = 3 SE +/- 0.062, N = 15 SE +/- 0.082, N = 3 SE +/- 0.100, N = 3 SE +/- 0.076, N = 8 SE +/- 0.070, N = 3 SE +/- 0.080, N = 3 SE +/- 0.052, N = 3 SE +/- 0.084, N = 3 SE +/- 0.060, N = 3 SE +/- 0.021, N = 3 6.448 6.111 8.162 7.235 7.234 4.165 6.034 4.921 6.562 4.331 5.651 MIN: 6.19 / MAX: 16.36 MIN: 5.64 / MAX: 17.69 MIN: 7.83 / MAX: 11.13 MIN: 6.96 / MAX: 9.38 MIN: 6.68 / MAX: 15.68 MIN: 4.02 / MAX: 5.67 MIN: 5.82 / MAX: 15.84 MIN: 4.74 / MAX: 6.94 MIN: 6.33 / MAX: 8.06 MIN: 4.15 / MAX: 16.62 MIN: 5.51 / MAX: 10.9 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 18.17 19.52 20.58 22.77 23.22 25.22 27.97 29.82 33.45 24.74 35.43
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.5513 1.1026 1.6539 2.2052 2.7565 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 2.45 2.19 2.43 1.99 2.07 1.65 1.52 1.26 1.28 1.93 1.28 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 15.58 17.19 18.73 20.56 21.03 20.54 24.03 25.31 30.15 19.84 29.50
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 6 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 2.47 2.20 2.43 1.97 2.10 1.72 1.56 1.29 1.29 1.93 1.28 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.1588 2.3176 3.4764 4.6352 5.794 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.16 3.99 5.15 4.75 4.75 2.68 4.83 2.90 5.08 4.00 4.41 MIN: 4.11 / MAX: 5.11 MIN: 3.93 / MAX: 4.83 MIN: 5.03 / MAX: 5.6 MIN: 4.7 / MAX: 5.67 MIN: 4.68 / MAX: 5.93 MIN: 2.64 / MAX: 3.8 MIN: 4.73 / MAX: 5.7 MIN: 2.87 / MAX: 4.06 MIN: 4.97 / MAX: 6.88 MIN: 3.91 / MAX: 4.67 MIN: 4.31 / MAX: 5.93 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 10.36 11.02 12.24 13.23 13.48 12.87 14.97 15.17 18.05 14.23 19.68 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 5.25 5.19 7.10 6.62 6.61 3.90 7.01 4.24 7.36 5.89 6.83 MIN: 5.19 / MAX: 9.21 MIN: 5.01 / MAX: 5.68 MIN: 6.88 / MAX: 8.39 MIN: 6.51 / MAX: 7.75 MIN: 6.48 / MAX: 7.84 MIN: 3.84 / MAX: 8.56 MIN: 6.92 / MAX: 8.19 MIN: 4.15 / MAX: 5.32 MIN: 7.22 / MAX: 8.57 MIN: 5.82 / MAX: 7.01 MIN: 6.75 / MAX: 8.34 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.90, N = 3 SE +/- 0.08, N = 3 SE +/- 0.56, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.59, N = 3 SE +/- 0.45, N = 3 SE +/- 0.28, N = 3 SE +/- 1.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.68, N = 3 69.81 72.56 77.78 86.79 88.59 101.56 118.74 106.40 127.40 82.98 131.40 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 200 400 600 800 1000 SE +/- 2.14, N = 3 SE +/- 0.38, N = 3 SE +/- 1.50, N = 3 SE +/- 0.26, N = 3 SE +/- 1.67, N = 3 SE +/- 3.87, N = 3 SE +/- 1.57, N = 3 SE +/- 0.25, N = 3 SE +/- 1.71, N = 3 SE +/- 1.31, N = 3 SE +/- 0.99, N = 3 688.70 661.39 619.21 585.47 586.78 646.15 514.32 545.09 438.49 785.87 550.52 MIN: 524.41 / MAX: 874.26 MIN: 505.19 / MAX: 829.84 MIN: 475.8 / MAX: 778.14 MIN: 461.07 / MAX: 715.8 MIN: 461.53 / MAX: 717.45 MIN: 484.41 / MAX: 891.48 MIN: 394.76 / MAX: 717.47 MIN: 401.83 / MAX: 840.98 MIN: 334.01 / MAX: 673.67 MIN: 607.56 / MAX: 1067.02 MIN: 404.15 / MAX: 850.71 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.02, N = 2 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 13.43 12.68 19.24 17.31 17.38 10.75 16.05 11.39 17.03 13.28 14.92 MIN: 13.03 / MAX: 14.09 MIN: 12.51 / MAX: 13.3 MIN: 18.5 / MAX: 19.94 MIN: 16.92 / MAX: 19.54 MIN: 16.96 / MAX: 17.94 MIN: 10.63 / MAX: 11.91 MIN: 15.94 / MAX: 25.37 MIN: 11.27 / MAX: 12.52 MIN: 16.81 / MAX: 18.21 MIN: 12.98 / MAX: 14.24 MIN: 14.77 / MAX: 16.85 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 15 30 45 60 75 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 37.37 40.12 42.37 46.27 46.79 47.70 54.14 55.96 64.41 47.79 66.26
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 10 20 30 40 50 SE +/- 0.07, N = 3 SE +/- 0.16, N = 15 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 8 SE +/- 0.44, N = 3 SE +/- 0.16, N = 3 SE +/- 0.43, N = 3 SE +/- 0.17, N = 3 SE +/- 0.26, N = 3 SE +/- 0.02, N = 3 28.38 27.06 42.13 33.47 33.07 23.84 29.53 25.04 30.26 25.31 32.48 MIN: 27.72 / MAX: 40.81 MIN: 26.09 / MAX: 38.76 MIN: 39.26 / MAX: 53.15 MIN: 32.67 / MAX: 45.9 MIN: 31.66 / MAX: 46.35 MIN: 23.19 / MAX: 35.63 MIN: 29.08 / MAX: 40.82 MIN: 24.34 / MAX: 37.43 MIN: 29.77 / MAX: 40.96 MIN: 24.65 / MAX: 37.66 MIN: 32.23 / MAX: 45.55 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.2903 0.5806 0.8709 1.1612 1.4515 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 1.290 1.284 1.236 1.136 1.133 0.990 0.823 0.876 0.733 0.977 0.842 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 50 100 150 200 250 SE +/- 2.17, N = 10 SE +/- 3.76, N = 3 SE +/- 0.25, N = 3 SE +/- 3.32, N = 3 SE +/- 3.37, N = 3 SE +/- 2.69, N = 3 SE +/- 1.38, N = 3 SE +/- 2.49, N = 3 SE +/- 1.35, N = 3 SE +/- 2.55, N = 5 SE +/- 1.83, N = 3 234.14 226.26 217.13 198.20 202.63 169.80 149.99 153.90 134.25 210.08 154.53 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 11.24 11.08 7.22 7.03 7.14 11.04 6.92 10.36 6.59 7.38 6.48
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 5.60 6.01 6.27 7.04 7.07 6.87 7.98 8.09 9.60 6.80 9.45 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 10 20 30 40 50 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, 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 +/- 0.03, N = 3 44.2 44.6 39.5 38.9 38.7 37.1 32.3 33.5 27.0 30.3 37.2 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 23.64 23.20 16.85 16.38 16.40 21.95 15.65 20.34 14.76 17.06 14.48
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 50 100 150 200 250 SE +/- 0.62, N = 3 SE +/- 0.17, N = 3 SE +/- 0.61, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 3 SE +/- 0.44, N = 3 SE +/- 0.07, N = 3 SE +/- 0.66, N = 3 SE +/- 0.14, N = 3 231.45 228.06 201.96 197.64 197.62 198.88 171.17 173.18 145.19 183.54 143.26 MIN: 167.76 / MAX: 241.46 MIN: 183.97 / MAX: 245.09 MIN: 138.19 / MAX: 209.94 MIN: 160.44 / MAX: 207.45 MIN: 158.2 / MAX: 208.72 MIN: 181.82 / MAX: 218.4 MIN: 153.68 / MAX: 184.63 MIN: 163.49 / MAX: 194.95 MIN: 138.55 / MAX: 159.76 MIN: 147.87 / MAX: 191.59 MIN: 134.31 / MAX: 160.76 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 0.35, N = 3 SE +/- 1.11, N = 3 SE +/- 0.54, N = 3 SE +/- 1.11, N = 3 SE +/- 1.09, N = 3 SE +/- 1.23, N = 3 SE +/- 1.15, N = 3 SE +/- 0.63, N = 3 SE +/- 1.74, N = 3 SE +/- 2.90, N = 3 SE +/- 1.09, N = 3 149.62 155.88 195.78 194.85 196.12 123.09 183.72 129.38 197.37 176.74 174.72
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 12.61 12.43 11.15 10.61 10.59 11.35 9.79 10.27 8.94 9.21 7.88
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 12.65 12.36 17.12 16.50 16.49 11.79 17.08 12.85 18.83 16.41 18.79 MIN: 12.38 / MAX: 13.1 MIN: 12.07 / MAX: 31.33 MIN: 16.58 / MAX: 50.65 MIN: 16.21 / MAX: 16.8 MIN: 16.16 / MAX: 16.99 MIN: 11.48 / MAX: 25.12 MIN: 16.45 / MAX: 18.57 MIN: 12.75 / MAX: 14.82 MIN: 18.42 / MAX: 19.87 MIN: 16.34 / MAX: 17.53 MIN: 18.56 / MAX: 29.54 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 19.47 21.25 21.23 23.83 24.11 23.28 25.88 26.63 30.48 23.58 29.80 -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=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -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 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 16 32 48 64 80 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 45.74 48.41 47.47 56.23 51.42 57.68 64.02 68.37 71.46 57.17 64.94 MIN: 44.74 MIN: 47.56 MIN: 46.54 MIN: 55.46 MIN: 50.48 MIN: 56.93 MIN: 62.9 MIN: 67.42 MIN: 70 MIN: 56.54 MIN: 63.43 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.044, N = 3 SE +/- 0.029, N = 3 SE +/- 0.041, N = 3 SE +/- 0.048, N = 3 SE +/- 0.017, N = 3 SE +/- 0.052, N = 3 SE +/- 0.029, N = 3 SE +/- 0.063, N = 3 SE +/- 0.050, N = 3 SE +/- 0.081, N = 3 SE +/- 0.020, N = 3 7.350 7.365 8.591 8.973 8.907 8.508 11.018 8.515 11.424 8.702 8.750 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 13.30 12.95 15.97 16.39 15.95 11.52 16.29 12.37 17.88 14.04 16.17 MIN: 12.97 / MAX: 13.74 MIN: 12.49 / MAX: 14.61 MIN: 15.54 / MAX: 16.76 MIN: 15.95 / MAX: 85.44 MIN: 15.58 / MAX: 16.48 MIN: 11.31 / MAX: 11.99 MIN: 15.98 / MAX: 18.5 MIN: 12.21 / MAX: 26.56 MIN: 17.74 / MAX: 19.69 MIN: 13.85 / MAX: 15.37 MIN: 15.98 / MAX: 27.23 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 900 1800 2700 3600 4500 SE +/- 36.22, N = 4 SE +/- 20.13, N = 4 SE +/- 22.93, N = 4 SE +/- 43.45, N = 4 SE +/- 18.51, N = 4 SE +/- 20.42, N = 4 SE +/- 45.31, N = 4 SE +/- 23.88, N = 3 SE +/- 28.48, N = 4 SE +/- 25.86, N = 3 2925 2836 3460 3348 3389 2962 3663 3531 4395 2884 3977
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 100 200 300 400 500 SE +/- 4.25, N = 3 SE +/- 4.99, N = 3 SE +/- 0.71, N = 3 SE +/- 2.91, N = 3 SE +/- 5.47, N = 3 SE +/- 2.81, N = 3 SE +/- 1.95, N = 3 SE +/- 0.37, N = 3 SE +/- 1.70, N = 3 SE +/- 3.03, N = 3 SE +/- 0.19, N = 3 297.7 291.4 362.2 360.7 369.6 292.4 347.7 306.9 367.7 419.1 450.8 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.51, N = 3 SE +/- 0.37, N = 3 SE +/- 0.32, N = 3 SE +/- 0.27, N = 3 SE +/- 0.26, N = 3 SE +/- 0.17, N = 3 SE +/- 0.14, N = 3 SE +/- 1.00, N = 3 SE +/- 0.19, N = 3 59.65 58.40 63.23 65.58 65.37 55.00 61.24 50.50 57.70 78.02 64.07
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 300 600 900 1200 1500 SE +/- 3.97, N = 3 SE +/- 2.29, N = 3 SE +/- 11.92, N = 3 SE +/- 11.76, N = 3 SE +/- 6.22, N = 3 SE +/- 3.69, N = 3 SE +/- 26.41, N = 3 SE +/- 3.19, N = 3 SE +/- 7.05, N = 3 SE +/- 11.39, N = 3 SE +/- 0.29, N = 3 1501.03 1485.05 1022.73 1019.65 1000.22 1520.85 1010.57 1476.82 1003.69 1176.07 1084.83 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20K 40K 60K 80K 100K SE +/- 473.56, N = 3 SE +/- 478.94, N = 3 SE +/- 37.78, N = 3 SE +/- 46.94, N = 3 SE +/- 97.95, N = 3 SE +/- 51.56, N = 3 SE +/- 989.81, N = 8 SE +/- 89.09, N = 3 SE +/- 328.34, N = 3 SE +/- 271.18, N = 3 SE +/- 179.78, N = 3 80924 78347 105617 105803 107356 70819 96129 74254 97587 75313 89584 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.269 2.538 3.807 5.076 6.345 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 3.85 3.73 3.86 3.99 3.89 4.70 5.06 4.51 4.90 5.64 4.04 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8K 16K 24K 32K 40K SE +/- 39.63, N = 3 SE +/- 18.60, N = 3 SE +/- 34.63, N = 3 SE +/- 98.83, N = 3 SE +/- 29.89, N = 3 SE +/- 41.74, N = 3 SE +/- 29.41, N = 3 SE +/- 32.74, N = 3 SE +/- 18.52, N = 3 SE +/- 25.33, N = 3 SE +/- 77.79, N = 3 36137.49 37925.62 38565.53 35670.01 36851.90 35513.87 37466.48 36604.36 34238.23 25630.01 34083.37 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 400K 800K 1200K 1600K 2000K SE +/- 21208.90, N = 5 SE +/- 2205.85, N = 5 SE +/- 4368.74, N = 5 SE +/- 9606.45, N = 18 SE +/- 3070.42, N = 5 SE +/- 3532.74, N = 5 SE +/- 11294.71, N = 5 SE +/- 2451.81, N = 5 SE +/- 2742.19, N = 5 SE +/- 2615.51, N = 5 SE +/- 2392.41, N = 5 1970776 1960074 1407253 1385206 1376972 1989830 1401832 1900557 1327838 1572770 1482195 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.33, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 22.63 21.81 29.08 28.68 28.90 19.89 28.03 20.39 29.79 25.00 27.79 MIN: 22.14 / MAX: 23.14 MIN: 21.37 / MAX: 22.7 MIN: 28.81 / MAX: 29.7 MIN: 28.4 / MAX: 37.04 MIN: 28.52 / MAX: 83.18 MIN: 19.15 / MAX: 21.25 MIN: 27.86 / MAX: 28.69 MIN: 20.15 / MAX: 21.63 MIN: 29.39 / MAX: 54.87 MIN: 24.78 / MAX: 25.84 MIN: 27.7 / MAX: 29.86 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 12 24 36 48 60 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.35, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 54.99 53.42 44.57 43.59 43.19 52.29 41.76 49.12 39.02 41.50 36.94 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 200 400 600 800 1000 SE +/- 8.11, N = 3 SE +/- 9.68, N = 3 SE +/- 12.84, N = 3 SE +/- 3.79, N = 3 SE +/- 3.51, N = 3 SE +/- 6.01, N = 3 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 1042 1056 799 726 766 1072 794 1035 754 945 862 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3K 6K 9K 12K 15K SE +/- 40.83, N = 3 SE +/- 62.90, N = 3 SE +/- 23.94, N = 3 SE +/- 32.32, N = 3 SE +/- 27.76, N = 3 SE +/- 39.00, N = 3 SE +/- 21.12, N = 3 SE +/- 62.37, N = 3 SE +/- 13.28, N = 3 SE +/- 18.50, N = 3 SE +/- 9.56, N = 3 14032.5 14645.4 11474.9 11473.9 11595.2 15924.6 11505.5 15561.0 11552.0 10815.8 10868.2 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 80 160 240 320 400 SE +/- 0.81, N = 3 SE +/- 1.47, N = 3 SE +/- 1.69, N = 3 SE +/- 2.39, N = 3 SE +/- 4.54, N = 3 SE +/- 0.28, N = 3 SE +/- 1.54, N = 3 SE +/- 0.08, N = 3 SE +/- 1.93, N = 3 SE +/- 2.33, N = 3 SE +/- 0.44, N = 3 254.15 253.65 280.03 270.84 280.25 250.93 270.45 260.76 285.66 340.68 368.44 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 15.37 15.61 17.24 17.41 18.52 15.24 17.34 15.88 18.26 21.06 22.37 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 135.23 134.28 169.17 170.08 171.79 131.40 167.36 133.29 172.48 183.25 192.56
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: Serial Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 130 260 390 520 650 426.53 430.24 522.74 526.46 546.89 421.39 529.70 437.95 549.02 588.16 611.64
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.17, N = 15 SE +/- 0.28, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 8 SE +/- 1.19, N = 3 SE +/- 0.58, N = 3 SE +/- 0.41, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 26.80 26.88 36.98 32.48 31.55 26.51 32.46 31.65 36.02 29.43 38.47 MIN: 26.49 / MAX: 39.3 MIN: 25.86 / MAX: 39.31 MIN: 35.45 / MAX: 47.52 MIN: 31.9 / MAX: 45.8 MIN: 30.42 / MAX: 44.63 MIN: 25.05 / MAX: 35 MIN: 31.11 / MAX: 44.49 MIN: 30.81 / MAX: 42.27 MIN: 35.38 / MAX: 46.54 MIN: 29.01 / MAX: 39.64 MIN: 38.12 / MAX: 51.85 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60K 120K 180K 240K 300K SE +/- 392.51, N = 3 SE +/- 437.17, N = 3 SE +/- 702.33, N = 3 SE +/- 462.71, N = 3 SE +/- 477.83, N = 3 SE +/- 49.01, N = 3 SE +/- 142.32, N = 3 SE +/- 166.56, N = 3 SE +/- 1054.43, N = 3 SE +/- 174.69, N = 3 SE +/- 166.99, N = 3 214239 200676 265131 258972 262738 182697 234440 193736 237908 196074 231683 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.081, N = 3 SE +/- 0.105, N = 3 SE +/- 0.007, N = 3 SE +/- 0.025, N = 3 SE +/- 0.001, N = 3 SE +/- 0.015, N = 3 SE +/- 0.033, N = 3 SE +/- 0.002, N = 3 5.252 5.426 6.365 6.760 6.715 5.644 6.797 6.141 7.620 6.371 7.595 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.77, N = 6 SE +/- 1.56, N = 12 SE +/- 0.37, N = 3 SE +/- 1.07, N = 3 SE +/- 0.24, N = 3 SE +/- 1.24, N = 15 SE +/- 0.87, N = 3 SE +/- 0.88, N = 15 SE +/- 0.24, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 63.86 66.74 79.93 79.76 81.10 67.51 80.94 70.56 87.09 83.89 91.90 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.22, N = 3 SE +/- 0.38, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.29, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 25.48 24.29 29.91 27.66 27.82 22.09 28.47 24.78 31.60 24.28 29.20 MIN: 24.9 / MAX: 41.04 MIN: 23.69 / MAX: 27.95 MIN: 29.44 / MAX: 31.38 MIN: 27.41 / MAX: 33.56 MIN: 27.35 / MAX: 28.71 MIN: 21.65 / MAX: 35.94 MIN: 28.22 / MAX: 30.66 MIN: 24.6 / MAX: 36.85 MIN: 31.38 / MAX: 32.98 MIN: 23.97 / MAX: 25.62 MIN: 28.94 / MAX: 30.06 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 12 24 36 48 60 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 SE +/- 0.38, N = 3 SE +/- 0.64, N = 3 SE +/- 0.19, N = 3 SE +/- 0.37, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.38, N = 3 SE +/- 0.14, N = 3 36.78 37.40 42.26 43.55 44.35 39.87 45.83 43.66 51.35 43.30 52.41 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 12 24 36 48 60 SE +/- 0.59, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 52.94 53.19 38.90 38.32 38.03 53.60 38.59 51.53 38.20 49.04 45.81 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 2 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 14.62 13.32 17.91 16.48 16.70 12.78 16.92 12.71 17.57 13.56 14.89 MIN: 14.51 / MAX: 15.37 MIN: 13.09 / MAX: 14.66 MIN: 17.65 / MAX: 28.08 MIN: 16.31 / MAX: 28.36 MIN: 16.36 / MAX: 72.05 MIN: 12.65 / MAX: 14.06 MIN: 16.79 / MAX: 26.29 MIN: 12.62 / MAX: 13.55 MIN: 17.45 / MAX: 19.63 MIN: 13.34 / MAX: 23.75 MIN: 14.8 / MAX: 16.25 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 50 100 150 200 250 SE +/- 0.33, N = 3 SE +/- 1.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 2.19, N = 3 SE +/- 2.56, N = 5 180 179 199 205 211 194 211 203 233 166 207 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 4.79, N = 15 SE +/- 2.00, N = 3 SE +/- 0.67, N = 3 136 148 175 177 190 152 156 148 190 150 178
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 18.55 18.32 23.92 23.78 24.21 17.41 23.78 17.84 23.88 19.86 20.86 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 110M 220M 330M 440M 550M SE +/- 6320318.74, N = 3 SE +/- 1730487.00, N = 3 SE +/- 265333.27, N = 3 SE +/- 3810394.29, N = 3 SE +/- 425188.38, N = 3 SE +/- 809659.91, N = 3 SE +/- 821909.63, N = 3 SE +/- 648578.86, N = 3 SE +/- 140508.36, N = 3 SE +/- 667086.01, N = 3 SE +/- 345078.13, N = 3 535283139.78 517301573.26 406108737.68 385672695.95 401445819.03 530810166.95 406360022.76 509667296.91 390856008.08 511718743.40 481073602.70 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 16.17 16.48 19.13 18.90 18.79 16.16 18.43 16.79 19.10 20.36 22.38
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 14 28 42 56 70 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 46.34 45.85 52.39 53.51 54.34 49.32 57.84 53.29 63.41 53.67 60.93 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 13 26 39 52 65 SE +/- 0.18, N = 3 SE +/- 0.71, N = 3 SE +/- 0.34, N = 3 SE +/- 0.47, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.68, N = 3 SE +/- 0.08, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 42.68 41.54 55.07 56.77 55.78 41.68 53.98 43.06 57.30 46.56 49.05 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 900 1800 2700 3600 4500 SE +/- 27.26, N = 4 SE +/- 20.69, N = 4 SE +/- 15.68, N = 4 SE +/- 23.65, N = 4 SE +/- 11.74, N = 4 SE +/- 12.56, N = 4 SE +/- 27.52, N = 4 SE +/- 33.87, N = 4 SE +/- 17.11, N = 4 SE +/- 25.71, N = 4 SE +/- 26.51, N = 4 3066 3068 3946 3963 3990 3165 3965 3313 4215 3319 3676
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4K 8K 12K 16K 20K SE +/- 274.41, N = 3 SE +/- 46.12, N = 3 SE +/- 67.33, N = 3 SE +/- 155.45, N = 8 SE +/- 104.27, N = 3 SE +/- 51.62, N = 3 SE +/- 32.40, N = 3 SE +/- 185.84, N = 3 SE +/- 25.69, N = 3 SE +/- 15.99, N = 3 SE +/- 15.81, N = 3 20223.0 20018.5 15875.8 15572.8 15451.0 20877.6 16160.1 20100.7 15263.7 17624.8 15846.1 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 120 240 360 480 600 SE +/- 6.57, N = 3 SE +/- 2.53, N = 3 SE +/- 2.57, N = 3 SE +/- 1.51, N = 3 SE +/- 3.07, N = 3 SE +/- 1.23, N = 3 SE +/- 2.64, N = 3 SE +/- 0.60, N = 3 SE +/- 1.99, N = 3 SE +/- 2.16, N = 3 SE +/- 0.84, N = 3 542.76 550.69 422.17 425.55 409.49 558.28 432.12 543.12 415.99 451.53 413.80
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.29, N = 3 SE +/- 0.37, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 133.14 128.47 113.75 110.90 110.59 124.60 105.06 117.34 97.93 131.94 102.72 MIN: 92.76 / MAX: 272.06 MIN: 88.05 / MAX: 273.02 MIN: 77.63 / MAX: 233.82 MIN: 74.1 / MAX: 238.95 MIN: 74.04 / MAX: 240.86 MIN: 83.42 / MAX: 292.97 MIN: 69.5 / MAX: 241.03 MIN: 77.76 / MAX: 285.64 MIN: 63.93 / MAX: 233.22 MIN: 84.38 / MAX: 304.84 MIN: 66.79 / MAX: 241.72 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.0262 0.0524 0.0786 0.1048 0.131 SE +/- 0.00107634, N = 3 SE +/- 0.00117965, N = 15 SE +/- 0.00118276, N = 3 SE +/- 0.00093524, N = 3 SE +/- 0.00086563, N = 3 SE +/- 0.00040989, N = 3 SE +/- 0.00131011, N = 15 SE +/- 0.00010732, N = 3 SE +/- 0.00138595, N = 3 SE +/- 0.00032095, N = 3 SE +/- 0.00016538, N = 3 0.08659397 0.08573340 0.11059513 0.11338212 0.11095995 0.08734160 0.11018877 0.08930334 0.11643247 0.09765781 0.10063976
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3M 6M 9M 12M 15M SE +/- 46067.71, N = 3 SE +/- 9488.88, N = 3 SE +/- 28955.96, N = 3 SE +/- 124855.19, N = 3 SE +/- 33192.92, N = 3 SE +/- 59345.60, N = 3 SE +/- 24969.38, N = 3 SE +/- 12610.07, N = 3 SE +/- 45342.43, N = 3 SE +/- 18480.02, N = 3 SE +/- 7610.57, N = 3 11519567 11404838 9195403 9071528 9268070 11851326 8805287 11191962 8912018 10087418 9196154 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.014, N = 3 SE +/- 0.027, N = 3 SE +/- 0.054, N = 3 SE +/- 0.097, N = 3 SE +/- 0.110, N = 3 SE +/- 0.003, N = 3 SE +/- 0.076, N = 3 SE +/- 0.003, N = 3 SE +/- 0.031, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 5.562 5.621 6.894 6.964 7.081 5.499 6.658 5.737 7.067 6.966 7.397 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 12.82 12.84 15.57 15.64 16.13 12.78 15.38 13.14 16.15 16.40 17.13
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 7 5800X Ryzen 5 5600X 0.1418 0.2836 0.4254 0.5672 0.709 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.47 0.63 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60 120 180 240 300 SE +/- 0.24, N = 3 SE +/- 0.54, N = 3 SE +/- 0.29, N = 3 SE +/- 2.02, N = 12 SE +/- 0.80, N = 3 SE +/- 0.03, N = 3 SE +/- 1.57, N = 3 SE +/- 0.04, N = 3 SE +/- 0.65, N = 3 SE +/- 3.74, N = 3 SE +/- 0.10, N = 3 213.84 215.55 240.34 236.45 235.52 208.12 231.37 216.96 240.28 261.56 278.41 MIN: 213.22 / MAX: 214.97 MIN: 214.45 / MAX: 216.73 MIN: 239.2 / MAX: 249.7 MIN: 224.41 / MAX: 244.45 MIN: 233.06 / MAX: 238.56 MIN: 207.98 / MAX: 208.3 MIN: 228.01 / MAX: 242 MIN: 216.75 / MAX: 217.19 MIN: 237.48 / MAX: 242.43 MIN: 253.09 / MAX: 270.4 MIN: 278.09 / MAX: 284.76 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.31, N = 3 SE +/- 0.27, N = 3 82.47 83.58 90.55 94.03 94.93 91.23 99.06 99.31 109.64 87.43 110.03
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 7 5800X Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 31.98, N = 6 SE +/- 9.00, N = 3 2313.88 3087.08 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 16 32 48 64 80 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.39, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 61.58 56.99 70.24 69.94 72.74 55.10 66.91 54.53 69.25 63.63 68.83 -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -mmpx -msse4a -msha -mmpx -msse4a -msha -mmpx -mmpx 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60 120 180 240 300 SE +/- 1.61, N = 3 SE +/- 1.79, N = 3 SE +/- 0.44, N = 3 SE +/- 0.84, N = 3 SE +/- 0.28, N = 3 SE +/- 0.90, N = 3 SE +/- 2.89, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 1.24, N = 3 SE +/- 0.14, N = 3 228.34 227.29 258.83 255.51 256.34 221.12 246.79 227.66 257.80 282.65 294.97 MIN: 221.95 / MAX: 262.93 MIN: 221.13 / MAX: 240.21 MIN: 245.84 / MAX: 277.3 MIN: 242.62 / MAX: 276.95 MIN: 249.57 / MAX: 278.25 MIN: 218.37 / MAX: 231.13 MIN: 240.1 / MAX: 270.64 MIN: 226.8 / MAX: 237.29 MIN: 253.88 / MAX: 275.98 MIN: 278.48 / MAX: 286.84 MIN: 294.25 / MAX: 296.33 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 25.45 25.30 19.47 19.64 19.82 25.46 19.47 24.53 19.26 25.67 21.70 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 19.35 19.38 22.74 23.00 23.07 17.36 21.75 18.11 22.62 19.17 20.35
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.034, N = 5 SE +/- 0.045, N = 5 SE +/- 0.045, N = 5 SE +/- 0.045, N = 5 SE +/- 0.031, N = 5 SE +/- 0.024, N = 5 SE +/- 0.057, N = 5 SE +/- 0.031, N = 5 SE +/- 0.020, N = 5 SE +/- 0.012, N = 5 SE +/- 0.031, N = 5 5.180 5.193 6.469 6.595 6.755 5.093 6.484 5.206 6.573 5.897 6.190
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 14.75 14.81 18.51 18.38 18.56 14.31 18.06 14.97 18.97 15.82 17.05 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.1835 2.367 3.5505 4.734 5.9175 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 5.24 5.26 4.18 4.18 4.16 5.26 4.20 5.06 3.97 4.65 4.17 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 17.19 17.29 20.21 20.67 20.92 17.98 21.20 19.28 22.73 18.04 21.48
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.7605 1.521 2.2815 3.042 3.8025 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 3.38 3.36 2.72 2.71 2.68 3.36 2.71 3.20 2.56 2.92 2.61 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 7 5800X Ryzen 5 5600X 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.47 0.62 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.026, N = 3 SE +/- 0.007, N = 3 SE +/- 0.018, N = 3 SE +/- 0.031, N = 3 SE +/- 0.019, N = 3 SE +/- 0.011, N = 3 SE +/- 0.011, N = 3 SE +/- 0.023, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.093, N = 15 10.314 9.915 12.250 11.876 11.916 9.291 11.239 9.593 11.590 10.442 11.203
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 6 12 18 24 30 SE +/- 0.06, N = 4 SE +/- 0.09, N = 4 SE +/- 0.11, N = 4 SE +/- 0.38, N = 4 SE +/- 0.14, N = 4 SE +/- 0.13, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.06, N = 4 SE +/- 0.14, N = 4 SE +/- 0.12, N = 4 21.46 21.32 26.68 26.71 26.81 20.92 26.08 21.65 27.48 25.30 26.77 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8 16 24 32 40 SE +/- 0.20, N = 3 SE +/- 0.36, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 30.81 31.12 25.37 25.64 25.83 33.23 26.99 32.83 25.99 30.34 28.66 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.2375 2.475 3.7125 4.95 6.1875 SE +/- 0.06, N = 4 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 4.4 4.3 4.5 4.4 4.4 4.2 4.3 4.3 4.4 5.5 5.4 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.085, N = 3 SE +/- 0.064, N = 3 SE +/- 0.053, N = 3 SE +/- 0.053, N = 3 SE +/- 0.030, N = 3 SE +/- 0.048, N = 15 SE +/- 0.088, N = 3 SE +/- 0.037, N = 3 SE +/- 0.080, N = 3 SE +/- 0.050, N = 3 SE +/- 0.124, N = 3 6.298 6.344 7.289 7.381 7.491 6.301 7.673 6.827 8.236 6.804 7.926
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.019, N = 3 SE +/- 0.033, N = 3 SE +/- 0.087, N = 5 SE +/- 0.056, N = 3 SE +/- 0.067, N = 3 SE +/- 0.013, N = 3 SE +/- 0.078, N = 3 SE +/- 0.002, N = 3 SE +/- 0.025, N = 3 SE +/- 0.015, N = 3 SE +/- 0.005, N = 3 5.334 5.340 6.748 6.555 6.804 5.294 6.567 5.454 6.916 6.024 6.387 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 7 5800X Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 24.63, N = 3 SE +/- 39.99, N = 3 2411.82 3144.77 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 60 120 180 240 300 SE +/- 0.44, N = 3 SE +/- 0.76, N = 3 SE +/- 3.33, N = 4 SE +/- 0.03, N = 3 SE +/- 0.79, N = 3 SE +/- 0.40, N = 3 SE +/- 2.30, N = 3 SE +/- 0.53, N = 3 SE +/- 0.23, N = 3 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 281.53 281.15 225.71 221.00 229.31 287.73 232.69 276.46 221.22 237.26 223.57 -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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 12M 24M 36M 48M 60M SE +/- 250264.91, N = 3 SE +/- 501860.59, N = 3 SE +/- 529964.65, N = 5 SE +/- 566907.60, N = 3 SE +/- 438932.99, N = 3 SE +/- 285322.64, N = 3 SE +/- 523372.80, N = 3 SE +/- 138240.46, N = 3 SE +/- 415561.11, N = 3 SE +/- 574257.00, N = 3 SE +/- 24227.92, N = 3 56105538.1 55937330.1 44123395.7 44714220.6 44081890.7 56745146.9 44883700.9 54945549.9 43647479.3 52005432.9 47964784.2
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.047, N = 23 SE +/- 0.044, N = 25 SE +/- 0.046, N = 25 SE +/- 0.053, N = 25 SE +/- 0.040, N = 25 SE +/- 0.060, N = 23 SE +/- 0.050, N = 20 SE +/- 0.063, N = 22 SE +/- 0.051, N = 22 SE +/- 0.062, N = 23 SE +/- 0.062, N = 22 5.126 5.142 6.412 6.355 6.506 5.066 6.207 5.265 6.481 6.289 6.568 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 123 123 153 153 158 122 150 126 158 134 140
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 700 1400 2100 2800 3500 SE +/- 12.57, N = 4 SE +/- 29.79, N = 4 SE +/- 36.35, N = 4 SE +/- 39.66, N = 4 SE +/- 31.96, N = 4 SE +/- 25.42, N = 20 SE +/- 29.31, N = 4 SE +/- 37.27, N = 4 SE +/- 51.94, N = 20 SE +/- 43.74, N = 20 2712 2656 3255 3050 3130 2592 2908 2519 3090 2747 2778
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 160 320 480 640 800 SE +/- 3.47, N = 3 SE +/- 4.52, N = 3 SE +/- 2.40, N = 3 SE +/- 3.42, N = 3 SE +/- 6.66, N = 3 SE +/- 1.90, N = 3 SE +/- 2.82, N = 3 SE +/- 0.93, N = 3 SE +/- 1.07, N = 3 SE +/- 3.99, N = 3 SE +/- 4.28, N = 3 590.1 589.9 700.5 705.8 715.3 587.6 686.9 606.8 721.3 754.9 757.0 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 0.77, N = 3 SE +/- 0.57, N = 3 SE +/- 0.12, N = 3 SE +/- 0.80, N = 3 SE +/- 0.54, N = 3 SE +/- 0.19, N = 3 SE +/- 0.58, N = 3 SE +/- 0.47, N = 3 SE +/- 0.55, N = 3 SE +/- 0.58, N = 3 SE +/- 1.02, N = 3 187.72 188.92 152.15 152.93 151.42 191.71 155.62 185.20 148.98 163.68 153.24 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 9.50 9.51 7.83 7.80 7.73 9.83 8.08 9.68 7.69 8.08 7.88 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.2227 2.4454 3.6681 4.8908 6.1135 SE +/- 0.024, N = 3 SE +/- 0.012, N = 3 SE +/- 0.054, N = 3 SE +/- 0.008, N = 3 SE +/- 0.026, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 4.258 4.264 4.453 4.586 4.616 4.474 4.733 4.864 5.322 4.538 5.434 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.1475 2.295 3.4425 4.59 5.7375 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 SE +/- 0.05, N = 9 SE +/- 0.03, N = 3 4.0 4.0 4.3 4.2 4.2 4.0 4.2 4.0 4.2 5.0 5.1 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 7 5800X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 10.68, N = 3 SE +/- 5.27, N = 3 1760.66 2244.48 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 10 20 30 40 50 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.26, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.24, N = 3 SE +/- 0.12, N = 3 44.40 44.80 36.40 36.30 36.20 44.22 36.50 43.45 35.33 35.20 36.80 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 6.42 6.38 8.10 8.01 8.12 6.78 7.19 7.21 7.53 6.74 6.93
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 16 32 48 64 80 SE +/- 0.17, N = 3 SE +/- 0.53, N = 3 SE +/- 0.34, N = 3 SE +/- 0.04, N = 3 SE +/- 0.79, N = 3 SE +/- 0.07, N = 3 SE +/- 0.50, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 57.72 57.36 69.70 68.89 71.62 56.79 69.19 58.14 72.09 66.37 70.28 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 12.7 12.7 15.6 15.4 15.8 12.7 15.2 13.2 16.1 14.3 15.2
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.3227 0.6454 0.9681 1.2908 1.6135 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.000, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.145 1.153 1.369 1.365 1.414 1.132 1.367 1.177 1.434 1.294 1.374 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.4925 0.985 1.4775 1.97 2.4625 SE +/- 0.015, N = 3 SE +/- 0.009, N = 3 SE +/- 0.029, N = 3 SE +/- 0.015, N = 3 SE +/- 0.023, N = 3 SE +/- 0.004, N = 3 SE +/- 0.016, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 1.729 1.743 2.161 2.088 2.175 1.756 2.099 1.821 2.189 2.009 2.115 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 30.85 30.88 37.23 37.19 37.46 30.58 36.46 31.98 38.55 32.36 35.10
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 7 5800X Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 1.98, N = 3 SE +/- 2.11, N = 3 1765.42 2225.20 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 3 6 9 12 15 SE +/- 0.033, N = 3 SE +/- 0.036, N = 3 SE +/- 0.069, N = 3 SE +/- 0.076, N = 3 SE +/- 0.004, N = 3 SE +/- 0.031, N = 3 SE +/- 0.026, N = 3 SE +/- 0.007, N = 3 SE +/- 0.015, N = 3 SE +/- 0.022, N = 3 SE +/- 0.009, N = 3 9.431 9.320 11.265 11.116 11.145 8.959 10.811 9.224 11.130 10.404 10.818
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.2688 2.5376 3.8064 5.0752 6.344 SE +/- 0.032, N = 3 SE +/- 0.053, N = 3 SE +/- 0.013, N = 3 SE +/- 0.032, N = 3 SE +/- 0.023, N = 3 SE +/- 0.043, N = 3 SE +/- 0.034, N = 3 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 SE +/- 0.048, N = 3 SE +/- 0.011, N = 3 4.641 4.593 5.499 5.456 5.550 4.488 5.238 4.636 5.528 5.311 5.639
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 1.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 344 344 417 413 428 342 406 352 427 353 373
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.52, N = 3 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.25, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 45.05 45.05 54.09 53.69 54.67 44.36 52.45 46.15 55.21 49.23 52.53
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 0.32, N = 3 SE +/- 0.58, N = 3 SE +/- 0.56, N = 3 SE +/- 0.68, N = 3 SE +/- 0.33, N = 3 SE +/- 0.28, N = 3 SE +/- 0.25, N = 3 SE +/- 0.25, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 167.0 167.0 141.8 142.4 140.2 168.0 143.2 163.2 136.5 138.0 135.0 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 30.74 30.56 36.64 35.99 36.78 29.58 34.74 30.89 36.75 31.73 34.12
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 4 8 12 16 20 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 12.76 12.63 15.64 14.86 15.26 12.86 15.04 13.26 15.62 15.08 15.45 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 200 400 600 800 1000 SE +/- 4.04, N = 3 SE +/- 6.36, N = 3 SE +/- 11.59, N = 3 SE +/- 3.48, N = 3 SE +/- 14.81, N = 3 SE +/- 4.51, N = 3 SE +/- 5.81, N = 3 SE +/- 1.15, N = 3 SE +/- 1.86, N = 3 SE +/- 1.67, N = 3 718 730 876 866 888 728 871 739 888 773 820
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 200 400 600 800 1000 SE +/- 3.00, N = 3 SE +/- 1.55, N = 3 SE +/- 6.32, N = 3 SE +/- 10.13, N = 3 SE +/- 11.67, N = 3 SE +/- 1.65, N = 3 SE +/- 7.80, N = 3 SE +/- 0.93, N = 3 SE +/- 3.31, N = 3 SE +/- 7.35, N = 3 SE +/- 0.30, N = 3 885.60 871.93 751.35 743.57 717.42 885.75 732.75 830.95 716.75 829.30 741.22 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 1.148 2.296 3.444 4.592 5.74 SE +/- 0.019, N = 3 SE +/- 0.015, N = 3 SE +/- 0.023, N = 3 SE +/- 0.060, N = 3 SE +/- 0.020, N = 3 SE +/- 0.010, N = 3 SE +/- 0.027, N = 3 SE +/- 0.011, N = 3 SE +/- 0.008, N = 3 SE +/- 0.018, N = 3 SE +/- 0.014, N = 3 4.133 4.138 4.305 4.336 4.395 4.228 4.456 4.574 4.970 4.379 5.102 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 24.67 24.53 29.18 29.07 29.47 24.16 28.36 25.06 29.67 25.45 27.04
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.062, N = 3 SE +/- 0.098, N = 3 SE +/- 0.083, N = 3 SE +/- 0.092, N = 3 SE +/- 0.049, N = 3 SE +/- 0.091, N = 4 SE +/- 0.041, N = 3 SE +/- 0.045, N = 3 SE +/- 0.080, N = 3 SE +/- 0.094, N = 3 SE +/- 0.089, N = 3 6.842 6.747 8.074 7.943 8.057 6.589 7.757 6.752 8.026 7.461 7.681
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.33, N = 3 SE +/- 0.34, N = 3 SE +/- 0.20, N = 3 SE +/- 0.36, N = 4 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.42, N = 3 SE +/- 0.11, N = 3 24.57 24.24 27.32 27.09 28.50 24.02 26.46 24.63 27.90 27.75 29.42 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 27.27 27.62 32.30 32.58 32.01 27.09 31.20 27.91 32.53 31.12 33.16 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 0.65, N = 3 SE +/- 0.67, N = 3 SE +/- 0.92, N = 3 SE +/- 2.11, N = 3 SE +/- 2.65, N = 3 SE +/- 0.52, N = 3 SE +/- 0.69, N = 3 SE +/- 3.26, N = 3 SE +/- 0.03, N = 3 SE +/- 1.85, N = 3 SE +/- 0.10, N = 3 192.12 189.65 165.36 163.05 159.96 194.38 168.24 185.18 159.39 179.16 165.10 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 100 200 300 400 500 SE +/- 0.69, N = 3 SE +/- 0.97, N = 3 SE +/- 3.56, N = 3 SE +/- 0.67, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 4.92, N = 3 SE +/- 0.94, N = 3 SE +/- 1.90, N = 3 SE +/- 0.30, N = 3 SE +/- 0.12, N = 3 465.90 461.36 400.12 393.72 403.65 474.37 411.27 453.52 390.47 446.45 420.58 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 2 4 6 8 10 SE +/- 0.038, N = 5 SE +/- 0.033, N = 5 SE +/- 0.026, N = 5 SE +/- 0.034, N = 5 SE +/- 0.039, N = 5 SE +/- 0.004, N = 5 SE +/- 0.028, N = 5 SE +/- 0.002, N = 5 SE +/- 0.016, N = 5 SE +/- 0.014, N = 5 SE +/- 0.017, N = 5 6.373 6.440 7.455 7.538 7.579 6.338 7.340 6.598 7.695 7.173 7.587 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 24.1 24.1 26.9 26.2 26.7 23.9 25.4 24.4 27.0 26.8 29.0 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 5 10 15 20 25 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 3 SE +/- 0.26, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 15.74 15.97 18.33 18.27 18.20 15.77 17.77 16.27 18.66 16.05 17.35 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 SE +/- 0.33, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 89.0 88.7 102.0 101.0 103.0 88.7 100.0 90.1 105.0 93.0 98.7
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 0.0002 0.0004 0.0006 0.0008 0.001 SE +/- 0.00001012, N = 3 SE +/- 0.00000408, N = 3 SE +/- 0.00000624, N = 13 SE +/- 0.00000610, N = 15 SE +/- 0.00000316, N = 3 SE +/- 0.00000422, N = 3 SE +/- 0.00001084, N = 3 SE +/- 0.00000439, N = 3 SE +/- 0.00000757, N = 3 SE +/- 0.00000313, N = 3 SE +/- 0.00000106, N = 3 0.00064973 0.00065021 0.00076862 0.00075364 0.00074999 0.00066754 0.00069996 0.00068638 0.00073548 0.00070228 0.00073281
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 120 240 360 480 600 SE +/- 0.54, N = 3 SE +/- 0.24, N = 3 SE +/- 5.13, N = 3 SE +/- 6.64, N = 3 SE +/- 0.08, N = 3 SE +/- 0.24, N = 3 SE +/- 3.75, N = 3 SE +/- 0.32, N = 3 SE +/- 3.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.37, N = 3 550.63 548.75 501.99 488.01 492.74 562.60 499.69 539.22 480.70 556.85 523.67 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 15 30 45 60 75 SE +/- 0.86, N = 3 SE +/- 0.70, N = 3 SE +/- 0.24, N = 3 SE +/- 0.44, N = 3 SE +/- 0.81, N = 3 SE +/- 0.10, N = 3 SE +/- 0.57, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 62.55 60.45 69.64 68.16 67.79 59.78 66.46 62.79 66.25 62.64 69.01
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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 160 320 480 640 800 SE +/- 4.47, N = 3 SE +/- 1.65, N = 3 SE +/- 6.74, N = 3 SE +/- 2.56, N = 3 SE +/- 5.46, N = 3 SE +/- 1.44, N = 3 SE +/- 1.77, N = 3 SE +/- 1.57, N = 3 SE +/- 2.86, N = 3 SE +/- 2.78, N = 3 SE +/- 2.60, N = 3 673.1 663.0 731.0 714.9 745.9 645.8 708.1 664.5 737.2 709.4 745.5 1. firefox 81.0
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 30 60 90 120 150 SE +/- 0.97, N = 3 SE +/- 0.95, N = 3 SE +/- 0.23, N = 3 SE +/- 1.43, N = 3 SE +/- 0.62, N = 3 SE +/- 0.37, N = 3 SE +/- 1.14, N = 3 SE +/- 0.48, N = 3 SE +/- 0.64, N = 3 SE +/- 1.49, N = 3 SE +/- 1.47, N = 4 117.72 117.14 105.02 107.15 105.14 120.20 107.56 115.92 105.77 113.69 106.60 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 Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 3950X Ryzen 9 3900XT Ryzen 9 3900X Ryzen 7 5800X Ryzen 7 3800XT Ryzen 5 5600X Ryzen 5 3600X Core i9 10900K Core i5 10600K 40 80 120 160 200 SE +/- 0.37, N = 3 SE +/- 0.60, N = 3 SE +/- 0.25, N = 3 SE +/- 2.75, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.49, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 177.01 173.79 157.12 159.83 162.65 176.44 168.05 169.18 157.47 176.07 165.64 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 7 5800X Ryzen 5 5600X 0.6458 1.2916 1.9374 2.5832 3.229 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 2.59 2.87 MIN: 2.54 / MAX: 3.56 MIN: 2.79 / MAX: 7.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Ryzen 7 5800X Ryzen 5 5600X 0.4883 0.9766 1.4649 1.9532 2.4415 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.98 2.17 MIN: 1.96 / MAX: 2.74 MIN: 2.14 / MAX: 2.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Ryzen 7 5800X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 14.37 15.30 MIN: 14.12 / MAX: 18.26 MIN: 15.06 / MAX: 15.9 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 7 5800X Ryzen 5 5600X 0.9659 1.9318 2.8977 3.8636 4.8295 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 4.153 4.293 MIN: 4.12 / MAX: 11.36 MIN: 4.25 / MAX: 4.64 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 7 5800X Ryzen 5 5600X 0.2205 0.441 0.6615 0.882 1.1025 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.96 0.98 MIN: 0.94 / MAX: 1 MIN: 0.97 / MAX: 1.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Ryzen 7 5800X Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 61.21 61.72 MIN: 60.82 / MAX: 70.12 MIN: 60.76 / MAX: 66.57 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.