Tests for a future article.
Quantum ESPRESSO Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Quantum ESPRESSO 6.7 Input: AUSURF112 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400 800 1200 1600 2000 SE +/- 1.52, N = 3 SE +/- 1.29, N = 3 SE +/- 5.19, N = 3 SE +/- 0.83, N = 3 SE +/- 16.58, N = 4 SE +/- 1.18, N = 3 SE +/- 1.64, N = 3 SE +/- 5.50, N = 3 SE +/- 11.50, N = 3 SE +/- 3.48, N = 3 SE +/- 4.40, N = 3 SE +/- 0.33, N = 3 SE +/- 6.34, N = 3 SE +/- 22.87, N = 9 1208.31 1342.14 1403.52 1656.88 1329.90 1520.43 1216.50 1386.78 1357.30 1317.27 1456.82 1356.26 1403.87 1372.73 1. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Quantum ESPRESSO 6.7 Input: AUSURF112 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300 600 900 1200 1500 Min: 1205.82 / Avg: 1208.31 / Max: 1211.05 Min: 1339.87 / Avg: 1342.14 / Max: 1344.32 Min: 1394.1 / Avg: 1403.52 / Max: 1411.99 Min: 1655.62 / Avg: 1656.88 / Max: 1658.44 Min: 1306.89 / Avg: 1329.9 / Max: 1377.55 Min: 1518.1 / Avg: 1520.43 / Max: 1521.97 Min: 1214.11 / Avg: 1216.5 / Max: 1219.63 Min: 1377.07 / Avg: 1386.78 / Max: 1396.11 Min: 1338.99 / Avg: 1357.3 / Max: 1378.5 Min: 1313.6 / Avg: 1317.27 / Max: 1324.22 Min: 1450.92 / Avg: 1456.82 / Max: 1465.43 Min: 1355.84 / Avg: 1356.26 / Max: 1356.92 Min: 1396.5 / Avg: 1403.87 / Max: 1416.5 Min: 1251.31 / Avg: 1372.73 / Max: 1438.64 1. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
NWChem NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better NWChem 7.0.2 Input: C240 Buckyball EPYC 7402P EPYC 7302P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7532 2K 4K 6K 8K 10K 4709.5 6676.4 2716.7 8844.1 2220.7 2247.0 3678.8 5684.6 3653.9 7056.0 3653.6 1. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 600 1200 1800 2400 3000 SE +/- 26.03, N = 3 SE +/- 5.90, N = 3 SE +/- 12.27, N = 9 SE +/- 8.88, N = 3 SE +/- 31.31, N = 9 SE +/- 11.79, N = 9 SE +/- 29.49, N = 9 SE +/- 14.82, N = 9 SE +/- 17.43, N = 5 SE +/- 9.84, N = 3 SE +/- 11.49, N = 9 SE +/- 16.37, N = 9 SE +/- 20.90, N = 3 SE +/- 37.70, N = 9 2686 1439 1233 681 1927 925 2408 1539 1699 1617 1051 1104 1769 2311 1. (CXX) g++ options: -flto -pthread
Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.26 Backend: Eigen EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 15.06 10.56 10.97 8.61 12.55 10.05 14.75 11.09 8.39 10.30 11.06 8.98 11.26 13.41
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500 1000 1500 2000 2500 Min: 2634 / Avg: 2685.67 / Max: 2717 Min: 1432 / Avg: 1439.33 / Max: 1451 Min: 1194 / Avg: 1232.78 / Max: 1292 Min: 663 / Avg: 680.67 / Max: 691 Min: 1773 / Avg: 1926.89 / Max: 2050 Min: 870 / Avg: 924.56 / Max: 993 Min: 2310 / Avg: 2408 / Max: 2551 Min: 1454 / Avg: 1538.78 / Max: 1593 Min: 1639 / Avg: 1699.2 / Max: 1747 Min: 1597 / Avg: 1616.67 / Max: 1627 Min: 1008 / Avg: 1051.22 / Max: 1107 Min: 1024 / Avg: 1103.67 / Max: 1176 Min: 1729 / Avg: 1769.33 / Max: 1799 Min: 2112 / Avg: 2311.33 / Max: 2527 1. (CXX) g++ options: -flto -pthread
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.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 SE +/- 0.024, N = 3 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.112, N = 3 SE +/- 0.023, N = 3 SE +/- 0.056, N = 3 SE +/- 0.059, N = 3 SE +/- 0.053, N = 3 SE +/- 0.062, N = 3 SE +/- 0.021, N = 3 SE +/- 0.004, N = 3 SE +/- 0.016, N = 3 SE +/- 0.029, N = 3 24.818 14.907 10.602 5.406 22.046 7.737 25.206 17.614 11.757 18.156 9.889 6.705 17.525 22.442 1. (CXX) g++ options: -O3 -pthread -lm
ns/day Per Watt
OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0315 0.063 0.0945 0.126 0.1575 0.13 0.10 0.09 0.07 0.13 0.08 0.14 0.12 0.06 0.11 0.10 0.06 0.10 0.11
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 Min: 24.78 / Avg: 24.82 / Max: 24.86 Min: 14.89 / Avg: 14.91 / Max: 14.93 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 5.39 / Avg: 5.41 / Max: 5.41 Min: 21.83 / Avg: 22.05 / Max: 22.19 Min: 7.71 / Avg: 7.74 / Max: 7.78 Min: 25.11 / Avg: 25.21 / Max: 25.31 Min: 17.51 / Avg: 17.61 / Max: 17.71 Min: 11.66 / Avg: 11.76 / Max: 11.85 Min: 18.03 / Avg: 18.16 / Max: 18.22 Min: 9.85 / Avg: 9.89 / Max: 9.92 Min: 6.7 / Avg: 6.7 / Max: 6.71 Min: 17.5 / Avg: 17.53 / Max: 17.55 Min: 22.4 / Avg: 22.44 / Max: 22.5 1. (CXX) g++ options: -O3 -pthread -lm
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 600 1200 1800 2400 3000 SE +/- 14.38, N = 3 SE +/- 20.26, N = 3 SE +/- 13.76, N = 9 SE +/- 4.36, N = 3 SE +/- 27.18, N = 3 SE +/- 7.54, N = 3 SE +/- 41.44, N = 9 SE +/- 23.71, N = 9 SE +/- 31.35, N = 9 SE +/- 20.09, N = 3 SE +/- 3.71, N = 3 SE +/- 22.57, N = 9 SE +/- 22.27, N = 9 SE +/- 26.91, N = 3 2699 1521 1253 747 1969 946 2376 1559 1758 1666 1042 1052 1735 2203 1. (CXX) g++ options: -flto -pthread
Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.26 Backend: BLAS EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 14.95 11.26 11.29 9.44 12.82 10.33 14.58 11.37 8.60 10.83 11.09 8.98 11.33 12.86
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500 1000 1500 2000 2500 Min: 2683 / Avg: 2699.33 / Max: 2728 Min: 1492 / Avg: 1521 / Max: 1560 Min: 1190 / Avg: 1253.33 / Max: 1313 Min: 739 / Avg: 747 / Max: 754 Min: 1916 / Avg: 1969 / Max: 2006 Min: 931 / Avg: 945.67 / Max: 956 Min: 2146 / Avg: 2376 / Max: 2558 Min: 1445 / Avg: 1559.33 / Max: 1649 Min: 1652 / Avg: 1758 / Max: 1943 Min: 1626 / Avg: 1665.67 / Max: 1691 Min: 1035 / Avg: 1042.33 / Max: 1047 Min: 958 / Avg: 1052.44 / Max: 1142 Min: 1624 / Avg: 1734.78 / Max: 1815 Min: 2155 / Avg: 2203.33 / Max: 2248 1. (CXX) g++ options: -flto -pthread
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Lossless Compression EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 SE +/- 2.26, N = 3 SE +/- 0.25, N = 3 SE +/- 1.69, N = 3 SE +/- 0.56, N = 3 SE +/- 0.09, N = 3 SE +/- 0.80, N = 3 SE +/- 0.41, N = 3 SE +/- 0.20, N = 3 SE +/- 0.50, N = 3 SE +/- 0.20, N = 3 SE +/- 0.30, N = 3 SE +/- 0.43, N = 3 SE +/- 0.13, N = 3 SE +/- 0.22, N = 3 481.95 467.70 562.07 954.80 481.50 680.90 474.55 467.43 475.39 467.51 580.07 778.66 474.59 473.76 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Lossless Compression EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 477.74 / Avg: 481.95 / Max: 485.47 Min: 467.23 / Avg: 467.7 / Max: 468.09 Min: 558.73 / Avg: 562.07 / Max: 564.17 Min: 953.7 / Avg: 954.8 / Max: 955.56 Min: 481.32 / Avg: 481.5 / Max: 481.6 Min: 679.66 / Avg: 680.9 / Max: 682.4 Min: 473.79 / Avg: 474.55 / Max: 475.18 Min: 467.12 / Avg: 467.43 / Max: 467.79 Min: 474.62 / Avg: 475.39 / Max: 476.33 Min: 467.15 / Avg: 467.51 / Max: 467.82 Min: 579.69 / Avg: 580.07 / Max: 580.65 Min: 777.8 / Avg: 778.66 / Max: 779.18 Min: 474.43 / Avg: 474.59 / Max: 474.85 Min: 473.32 / Avg: 473.76 / Max: 474.03 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
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.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 90K 180K 270K 360K 450K SE +/- 730.51, N = 3 SE +/- 338.07, N = 3 SE +/- 60.14, N = 3 SE +/- 533.40, N = 3 SE +/- 18239.03, N = 9 SE +/- 226.68, N = 3 SE +/- 1226.45, N = 3 SE +/- 440.86, N = 3 SE +/- 1699.46, N = 3 SE +/- 147.16, N = 3 SE +/- 456.29, N = 3 SE +/- 95.91, N = 3 SE +/- 422.64, N = 3 SE +/- 10886.13, N = 9 347484 391015 387173 369027 399610 378367 345626 427967 382020 411681 388699 340168 441978 429875 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80K 160K 240K 320K 400K Min: 346044 / Avg: 347483.67 / Max: 348419 Min: 390425 / Avg: 391015.33 / Max: 391596 Min: 387058 / Avg: 387173 / Max: 387261 Min: 367965 / Avg: 369027.33 / Max: 369643 Min: 331340 / Avg: 399610.44 / Max: 446964 Min: 378044 / Avg: 378367 / Max: 378804 Min: 344068 / Avg: 345626.33 / Max: 348046 Min: 427345 / Avg: 427966.67 / Max: 428819 Min: 379249 / Avg: 382019.67 / Max: 385110 Min: 411435 / Avg: 411681.33 / Max: 411944 Min: 387821 / Avg: 388699.33 / Max: 389353 Min: 339980 / Avg: 340168 / Max: 340295 Min: 441242 / Avg: 441977.67 / Max: 442706 Min: 364614 / Avg: 429875.11 / Max: 446994 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K SE +/- 52.30, N = 3 SE +/- 31.25, N = 3 SE +/- 28.18, N = 3 SE +/- 181.85, N = 3 SE +/- 159.60, N = 7 SE +/- 167.66, N = 3 SE +/- 32.36, N = 3 SE +/- 33.50, N = 3 SE +/- 146.33, N = 3 SE +/- 37.78, N = 3 SE +/- 49.84, N = 3 SE +/- 233.09, N = 3 SE +/- 135.81, N = 9 SE +/- 142.34, N = 3 17793 17644 17600 14713 17090 16820 17681 17664 19037 18047 17559 19036 17308 17609 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 90 180 270 360 450 241.00 344.76 337.27 338.94 277.86 387.92 246.91 339.99 250.92 350.90 395.06 332.96 239.28 257.05
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3K 6K 9K 12K 15K Min: 17693 / Avg: 17792.67 / Max: 17870 Min: 17597 / Avg: 17643.67 / Max: 17703 Min: 17559 / Avg: 17600 / Max: 17654 Min: 14527 / Avg: 14713.33 / Max: 15077 Min: 16499 / Avg: 17090.14 / Max: 17664 Min: 16499 / Avg: 16820.33 / Max: 17064 Min: 17626 / Avg: 17680.67 / Max: 17738 Min: 17611 / Avg: 17664 / Max: 17726 Min: 18745 / Avg: 19037 / Max: 19200 Min: 18004 / Avg: 18046.67 / Max: 18122 Min: 17469 / Avg: 17559.33 / Max: 17641 Min: 18580 / Avg: 19036.33 / Max: 19347 Min: 16389 / Avg: 17308.33 / Max: 17615 Min: 17324 / Avg: 17608.67 / Max: 17754 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Timed LLVM Compilation This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 160 320 480 640 800 SE +/- 1.73, N = 3 SE +/- 3.16, N = 9 SE +/- 5.04, N = 4 SE +/- 2.05, N = 3 SE +/- 1.44, N = 3 SE +/- 0.47, N = 3 SE +/- 0.89, N = 3 SE +/- 2.29, N = 3 SE +/- 2.67, N = 3 SE +/- 1.12, N = 3 SE +/- 3.68, N = 3 SE +/- 0.89, N = 3 SE +/- 1.56, N = 3 SE +/- 1.29, N = 3 234.21 312.70 404.33 763.56 245.40 529.62 233.51 289.36 343.39 275.35 440.00 581.30 280.78 243.92
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 130 260 390 520 650 Min: 230.9 / Avg: 234.2 / Max: 236.76 Min: 297.71 / Avg: 312.7 / Max: 321.97 Min: 391.86 / Avg: 404.33 / Max: 414.08 Min: 759.57 / Avg: 763.56 / Max: 766.35 Min: 242.68 / Avg: 245.4 / Max: 247.61 Min: 528.7 / Avg: 529.62 / Max: 530.26 Min: 232.12 / Avg: 233.51 / Max: 235.17 Min: 286.12 / Avg: 289.36 / Max: 293.79 Min: 340.62 / Avg: 343.39 / Max: 348.73 Min: 273.43 / Avg: 275.35 / Max: 277.3 Min: 432.97 / Avg: 440 / Max: 445.42 Min: 579.68 / Avg: 581.3 / Max: 582.76 Min: 278.05 / Avg: 280.78 / Max: 283.44 Min: 241.53 / Avg: 243.91 / Max: 245.95
OpenFOAM OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 60M EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 120 240 360 480 600 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.13, N = 3 SE +/- 1.13, N = 3 SE +/- 0.24, N = 3 SE +/- 0.44, N = 3 SE +/- 1.71, N = 3 SE +/- 0.59, N = 3 SE +/- 0.84, N = 3 SE +/- 0.36, N = 3 SE +/- 0.57, N = 3 SE +/- 0.31, N = 3 233.34 314.06 313.64 573.04 260.78 530.10 232.98 320.20 454.84 319.87 520.45 362.74 236.99 233.73 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 60M EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 Min: 233.29 / Avg: 233.34 / Max: 233.42 Min: 313.84 / Avg: 314.06 / Max: 314.48 Min: 313.39 / Avg: 313.64 / Max: 313.91 Min: 572.49 / Avg: 573.04 / Max: 573.47 Min: 260.58 / Avg: 260.78 / Max: 261.02 Min: 528.05 / Avg: 530.1 / Max: 531.94 Min: 232.55 / Avg: 232.98 / Max: 233.38 Min: 319.73 / Avg: 320.2 / Max: 321.08 Min: 452.49 / Avg: 454.84 / Max: 458.16 Min: 319.1 / Avg: 319.87 / Max: 321.04 Min: 518.85 / Avg: 520.45 / Max: 521.68 Min: 362.09 / Avg: 362.74 / Max: 363.35 Min: 235.98 / Avg: 236.99 / Max: 237.94 Min: 233.28 / Avg: 233.73 / Max: 234.33 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
BlogBench BlogBench is designed to replicate the load of a real-world busy file server by stressing the file-system with multiple threads of random reads, writes, and rewrites. The behavior is mimicked of that of a blog by creating blogs with content and pictures, modifying blog posts, adding comments to these blogs, and then reading the content of the blogs. All of these blogs generated are created locally with fake content and pictures. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Final Score, More Is Better BlogBench 1.1 Test: Read EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400K 800K 1200K 1600K 2000K SE +/- 10548.76, N = 3 SE +/- 7805.03, N = 3 SE +/- 7235.14, N = 3 SE +/- 16960.13, N = 3 SE +/- 4883.16, N = 3 SE +/- 20232.46, N = 3 SE +/- 9874.65, N = 3 SE +/- 7760.40, N = 3 SE +/- 13461.20, N = 3 SE +/- 7106.01, N = 3 SE +/- 12175.94, N = 3 SE +/- 14389.61, N = 3 SE +/- 13194.50, N = 3 SE +/- 14031.09, N = 3 1372955 1959615 1898428 1944496 1771624 2023180 1397475 1950080 1676516 1923368 2043037 1772037 1636092 1583350 1. (CC) gcc options: -O2 -pthread
Final Score Per Watt
OpenBenchmarking.org Final Score Per Watt, More Is Better BlogBench 1.1 Test: Read EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6K 12K 18K 24K 30K 10196.91 21034.07 22851.81 29655.38 15592.36 28304.98 10885.37 20067.14 12966.29 20274.62 27647.84 19861.21 14192.86 12835.03
Result Confidence
OpenBenchmarking.org Final Score, More Is Better BlogBench 1.1 Test: Read EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400K 800K 1200K 1600K 2000K Min: 1360224 / Avg: 1372955 / Max: 1393890 Min: 1944836 / Avg: 1959614.67 / Max: 1971357 Min: 1890301 / Avg: 1898428 / Max: 1912860 Min: 1916141 / Avg: 1944496.33 / Max: 1974796 Min: 1764285 / Avg: 1771624.33 / Max: 1780874 Min: 1992185 / Avg: 2023179.67 / Max: 2061206 Min: 1384215 / Avg: 1397475 / Max: 1416780 Min: 1935120 / Avg: 1950080.33 / Max: 1961140 Min: 1650220 / Avg: 1676515.67 / Max: 1694665 Min: 1909275 / Avg: 1923368 / Max: 1932004 Min: 2022967 / Avg: 2043037.33 / Max: 2065016 Min: 1743950 / Avg: 1772037 / Max: 1791514 Min: 1610844 / Avg: 1636092.33 / Max: 1655363 Min: 1565457 / Avg: 1583350 / Max: 1611018 1. (CC) gcc options: -O2 -pthread
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.3478 2.6956 4.0434 5.3912 6.739 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 5.56 5.68 5.67 5.17 5.67 5.53 5.76 5.76 5.99 5.84 5.57 5.96 5.71 5.72
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0248 0.0496 0.0744 0.0992 0.124 0.06 0.09 0.09 0.10 0.08 0.11 0.07 0.09 0.07 0.10 0.11 0.09 0.07 0.07
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 5.54 / Avg: 5.56 / Max: 5.58 Min: 5.62 / Avg: 5.68 / Max: 5.72 Min: 5.65 / Avg: 5.67 / Max: 5.68 Min: 5.14 / Avg: 5.17 / Max: 5.2 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 5.46 / Avg: 5.53 / Max: 5.61 Min: 5.73 / Avg: 5.76 / Max: 5.79 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 5.9 / Avg: 5.99 / Max: 6.05 Min: 5.82 / Avg: 5.84 / Max: 5.86 Min: 5.55 / Avg: 5.57 / Max: 5.59 Min: 5.9 / Avg: 5.96 / Max: 6.02 Min: 5.68 / Avg: 5.71 / Max: 5.73 Min: 5.7 / Avg: 5.72 / Max: 5.73
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.
Result
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 70M 140M 210M 280M 350M SE +/- 320354.97, N = 3 SE +/- 465752.47, N = 3 SE +/- 206566.86, N = 3 SE +/- 333820.85, N = 3 SE +/- 234513.76, N = 3 SE +/- 380619.49, N = 3 SE +/- 136985.64, N = 3 SE +/- 131222.60, N = 3 SE +/- 33906.80, N = 3 SE +/- 40543.01, N = 3 SE +/- 38644.36, N = 3 SE +/- 60046.42, N = 3 SE +/- 12833.10, N = 3 297478250.43 297827555.09 292597759.78 284332324.15 293216264.80 284710986.66 293169027.15 297816529.28 346505619.64 302406827.18 283588722.34 346733990.00 293437386.11 1. (CC) gcc options: -O3 -march=native -lm
QUIPs Per Watt
OpenBenchmarking.org QUIPs Per Watt, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1.5M 3M 4.5M 6M 7.5M 4189997.27 6095028.20 5937216.36 6962207.10 5029503.05 6892716.30 4208867.42 6028009.87 4710525.85 6161220.61 6710210.44 6400547.89 4210427.87
Result Confidence
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60M 120M 180M 240M 300M Min: 296837585.98 / Avg: 297478250.43 / Max: 297805193.98 Min: 297325728.53 / Avg: 297827555.09 / Max: 298758103.32 Min: 292233343.29 / Avg: 292597759.78 / Max: 292948520.88 Min: 283664869.62 / Avg: 284332324.15 / Max: 284679741.15 Min: 292759126.74 / Avg: 293216264.8 / Max: 293535711.28 Min: 284060087.32 / Avg: 284710986.66 / Max: 285378285.89 Min: 292897063.96 / Avg: 293169027.15 / Max: 293333683.01 Min: 297554997.89 / Avg: 297816529.28 / Max: 297966245.2 Min: 346439918.8 / Avg: 346505619.64 / Max: 346553015.3 Min: 302325902.16 / Avg: 302406827.18 / Max: 302451712.79 Min: 283512887.38 / Avg: 283588722.34 / Max: 283639560.88 Min: 346619184.22 / Avg: 346733990 / Max: 346821912.43 Min: 293416576.95 / Avg: 293437386.11 / Max: 293460802.19 1. (CC) gcc options: -O3 -march=native -lm
AI Benchmark Alpha AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Training Score EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300 600 900 1200 1500 1124 1546 1459 1094 1348 1307 1219 1488 1159 1534 1384 1173 1475 1403
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Inference Score EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500 1000 1500 2000 2500 1965 1926 1660 1112 2049 1372 2122 2022 1456 2107 1538 1301 2043 2125
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Keyed Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 140 280 420 560 700 SE +/- 0.06, N = 3 SE +/- 0.56, N = 3 SE +/- 0.13, N = 3 SE +/- 0.59, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.63, N = 3 SE +/- 0.31, N = 3 SE +/- 0.14, N = 3 SE +/- 0.77, N = 3 SE +/- 0.21, N = 3 SE +/- 0.29, N = 3 SE +/- 0.27, N = 3 SE +/- 0.31, N = 3 539.45 538.09 530.36 513.65 530.80 514.85 529.62 539.17 628.21 546.72 513.60 627.44 531.14 529.60 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
MiB/second Per Watt
OpenBenchmarking.org MiB/second Per Watt, More Is Better Crypto++ 8.2 Test: Keyed Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 7.54 10.84 10.63 12.39 9.00 12.28 7.58 10.78 8.43 11.01 12.03 11.44 7.57 7.98
Result Confidence
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Keyed Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110 220 330 440 550 Min: 539.37 / Avg: 539.45 / Max: 539.56 Min: 537.38 / Avg: 538.09 / Max: 539.19 Min: 530.22 / Avg: 530.36 / Max: 530.61 Min: 512.6 / Avg: 513.65 / Max: 514.65 Min: 530.54 / Avg: 530.8 / Max: 530.93 Min: 514.7 / Avg: 514.85 / Max: 514.94 Min: 528.75 / Avg: 529.62 / Max: 530.84 Min: 538.79 / Avg: 539.17 / Max: 539.79 Min: 628.01 / Avg: 628.21 / Max: 628.49 Min: 545.3 / Avg: 546.72 / Max: 547.95 Min: 513.18 / Avg: 513.6 / Max: 513.82 Min: 627.02 / Avg: 627.44 / Max: 627.99 Min: 530.69 / Avg: 531.14 / Max: 531.61 Min: 528.99 / Avg: 529.6 / Max: 530.03 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 SE +/- 0.04, N = 3 SE +/- 0.35, N = 3 SE +/- 0.25, N = 3 SE +/- 0.62, N = 3 SE +/- 0.31, N = 3 SE +/- 1.20, N = 3 SE +/- 0.20, N = 3 SE +/- 0.46, N = 3 SE +/- 0.69, N = 3 SE +/- 0.07, N = 3 SE +/- 0.65, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 154.42 291.52 411.56 866.85 180.94 554.64 154.23 237.65 356.90 223.08 432.92 683.81 243.58 179.18
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 150 300 450 600 750 Min: 154.37 / Avg: 154.42 / Max: 154.49 Min: 291.13 / Avg: 291.52 / Max: 292.22 Min: 411.08 / Avg: 411.56 / Max: 411.94 Min: 865.62 / Avg: 866.85 / Max: 867.52 Min: 180.32 / Avg: 180.94 / Max: 181.27 Min: 552.98 / Avg: 554.64 / Max: 556.98 Min: 153.83 / Avg: 154.23 / Max: 154.49 Min: 237.18 / Avg: 237.65 / Max: 238.58 Min: 356.09 / Avg: 356.9 / Max: 358.27 Min: 222.95 / Avg: 223.08 / Max: 223.18 Min: 432.21 / Avg: 432.92 / Max: 434.21 Min: 683.61 / Avg: 683.81 / Max: 683.97 Min: 243.32 / Avg: 243.58 / Max: 243.79 Min: 178.74 / Avg: 179.18 / Max: 179.54
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1100 2200 3300 4400 5500 SE +/- 84.35, N = 9 SE +/- 71.97, N = 12 SE +/- 73.62, N = 12 SE +/- 3.69, N = 3 SE +/- 27.98, N = 3 SE +/- 16.48, N = 3 SE +/- 95.52, N = 12 SE +/- 62.74, N = 3 SE +/- 88.35, N = 12 SE +/- 67.46, N = 11 SE +/- 24.57, N = 3 SE +/- 5.63, N = 3 SE +/- 35.49, N = 11 SE +/- 52.31, N = 12 4087 4946 4522 3941 4642 3943 4175 4755 5212 4986 4044 4518 4864 4506 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 11 22 33 44 55 25.73 39.90 43.67 47.91 33.35 44.61 25.67 38.41 28.68 40.89 45.86 36.02 32.78 28.36
Result Confidence
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 Min: 3791.5 / Avg: 4086.5 / Max: 4435 Min: 4494.5 / Avg: 4946.25 / Max: 5164.5 Min: 4171 / Avg: 4521.92 / Max: 5107 Min: 3934 / Avg: 3941 / Max: 3946.5 Min: 4586 / Avg: 4641.67 / Max: 4674.5 Min: 3922 / Avg: 3943 / Max: 3975.5 Min: 3788 / Avg: 4174.71 / Max: 4608.5 Min: 4633.5 / Avg: 4754.67 / Max: 4843.5 Min: 4665 / Avg: 5211.92 / Max: 5596 Min: 4318 / Avg: 4986.05 / Max: 5084 Min: 3996 / Avg: 4043.83 / Max: 4077.5 Min: 4508 / Avg: 4517.67 / Max: 4527.5 Min: 4539 / Avg: 4864.36 / Max: 4940.5 Min: 4219.5 / Avg: 4506.42 / Max: 4722 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 70 140 210 280 350 SE +/- 1.60, N = 3 SE +/- 1.52, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 SE +/- 0.75, N = 3 SE +/- 0.55, N = 3 SE +/- 1.82, N = 3 SE +/- 1.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.63, N = 3 SE +/- 0.25, N = 3 SE +/- 0.79, N = 3 SE +/- 0.79, N = 3 307.85 297.53 308.49 326.23 302.11 305.22 302.42 292.42 299.33 291.08 296.16 302.70 305.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60 120 180 240 300 Min: 305.74 / Avg: 307.85 / Max: 310.98 Min: 295.48 / Avg: 297.53 / Max: 300.5 Min: 308.17 / Avg: 308.49 / Max: 308.9 Min: 326.14 / Avg: 326.23 / Max: 326.37 Min: 301.02 / Avg: 302.11 / Max: 303.55 Min: 304.14 / Avg: 305.22 / Max: 305.91 Min: 299.36 / Avg: 302.42 / Max: 305.67 Min: 291.12 / Avg: 292.42 / Max: 294.56 Min: 299.09 / Avg: 299.33 / Max: 299.49 Min: 290.32 / Avg: 291.08 / Max: 292.34 Min: 295.71 / Avg: 296.16 / Max: 296.59 Min: 301.87 / Avg: 302.7 / Max: 304.28 Min: 303.92 / Avg: 305.06 / Max: 306.58
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 95, Compression Effort 7 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110 220 330 440 550 SE +/- 0.12, N = 3 SE +/- 0.27, N = 3 SE +/- 0.98, N = 3 SE +/- 0.90, N = 3 SE +/- 0.12, N = 3 SE +/- 2.81, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 1.43, N = 3 SE +/- 0.19, N = 3 SE +/- 2.55, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.24, N = 3 257.01 254.24 301.52 507.74 258.37 361.48 256.56 253.10 254.76 250.41 309.98 416.27 260.46 254.88 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 95, Compression Effort 7 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 90 180 270 360 450 Min: 256.86 / Avg: 257 / Max: 257.24 Min: 253.9 / Avg: 254.24 / Max: 254.77 Min: 300.37 / Avg: 301.52 / Max: 303.47 Min: 506.68 / Avg: 507.74 / Max: 509.53 Min: 258.22 / Avg: 258.37 / Max: 258.61 Min: 356.31 / Avg: 361.48 / Max: 365.98 Min: 256.37 / Avg: 256.56 / Max: 256.9 Min: 252.84 / Avg: 253.1 / Max: 253.26 Min: 252.29 / Avg: 254.76 / Max: 257.23 Min: 250.08 / Avg: 250.41 / Max: 250.74 Min: 305.77 / Avg: 309.98 / Max: 314.59 Min: 415.89 / Avg: 416.27 / Max: 416.76 Min: 260.18 / Avg: 260.46 / Max: 260.72 Min: 254.57 / Avg: 254.88 / Max: 255.36 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 SE +/- 0.70, N = 3 SE +/- 0.30, N = 3 SE +/- 1.35, N = 3 SE +/- 0.53, N = 3 SE +/- 0.35, N = 3 SE +/- 0.30, N = 3 SE +/- 0.41, N = 3 SE +/- 0.31, N = 3 SE +/- 0.20, N = 3 SE +/- 0.40, N = 3 SE +/- 0.76, N = 3 SE +/- 0.65, N = 3 SE +/- 0.48, N = 3 SE +/- 0.24, N = 3 306.50 307.47 301.28 270.83 303.45 298.27 303.21 309.10 348.66 311.97 296.96 345.36 303.33 303.75
Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Numpy Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 4.18 5.98 5.85 6.25 4.97 6.82 4.22 5.96 4.56 6.05 6.72 6.03 4.23 4.46
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 Min: 305.69 / Avg: 306.5 / Max: 307.9 Min: 307 / Avg: 307.47 / Max: 308.03 Min: 298.67 / Avg: 301.28 / Max: 303.16 Min: 269.87 / Avg: 270.83 / Max: 271.69 Min: 302.78 / Avg: 303.45 / Max: 303.96 Min: 297.91 / Avg: 298.27 / Max: 298.86 Min: 302.77 / Avg: 303.21 / Max: 304.03 Min: 308.57 / Avg: 309.1 / Max: 309.64 Min: 348.4 / Avg: 348.66 / Max: 349.06 Min: 311.24 / Avg: 311.97 / Max: 312.62 Min: 295.48 / Avg: 296.96 / Max: 298.01 Min: 344.12 / Avg: 345.36 / Max: 346.34 Min: 302.7 / Avg: 303.33 / Max: 304.28 Min: 303.29 / Avg: 303.75 / Max: 304.08
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 SE +/- 2.36, N = 3 SE +/- 1.35, N = 3 SE +/- 1.75, N = 3 SE +/- 1.10, N = 3 SE +/- 1.19, N = 3 SE +/- 1.66, N = 3 SE +/- 2.04, N = 12 SE +/- 1.31, N = 12 SE +/- 1.05, N = 3 SE +/- 1.27, N = 12 SE +/- 1.09, N = 12 212.89 131.53 137.59 136.87 132.62 128.92 122.44 130.09 135.68 119.44 132.04 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 40 80 120 160 200 Min: 209.86 / Avg: 212.89 / Max: 217.53 Min: 128.85 / Avg: 131.53 / Max: 133.13 Min: 134.17 / Avg: 137.59 / Max: 139.97 Min: 134.99 / Avg: 136.87 / Max: 138.8 Min: 130.9 / Avg: 132.62 / Max: 134.89 Min: 126.46 / Avg: 128.92 / Max: 132.08 Min: 113.19 / Avg: 122.44 / Max: 133.84 Min: 122.93 / Avg: 130.09 / Max: 137.37 Min: 133.59 / Avg: 135.68 / Max: 136.92 Min: 112.44 / Avg: 119.44 / Max: 126.77 Min: 125.23 / Avg: 132.04 / Max: 137.09 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 140 280 420 560 700 SE +/- 0.15, N = 3 SE +/- 1.69, N = 3 SE +/- 0.50, N = 3 SE +/- 0.72, N = 3 SE +/- 0.92, N = 3 SE +/- 0.64, N = 3 SE +/- 0.39, N = 3 SE +/- 0.14, N = 3 SE +/- 0.98, N = 3 SE +/- 0.07, N = 3 SE +/- 1.19, N = 3 SE +/- 0.51, N = 3 SE +/- 0.33, N = 3 SE +/- 0.14, N = 3 119.17 219.75 317.27 664.29 139.21 426.59 118.26 182.76 265.13 167.99 338.52 508.26 189.09 137.83
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 120 240 360 480 600 Min: 118.86 / Avg: 119.17 / Max: 119.35 Min: 217.98 / Avg: 219.75 / Max: 223.14 Min: 316.57 / Avg: 317.27 / Max: 318.25 Min: 662.88 / Avg: 664.29 / Max: 665.27 Min: 138.06 / Avg: 139.21 / Max: 141.03 Min: 425.64 / Avg: 426.59 / Max: 427.81 Min: 117.87 / Avg: 118.26 / Max: 119.05 Min: 182.48 / Avg: 182.76 / Max: 182.95 Min: 263.71 / Avg: 265.13 / Max: 267.02 Min: 167.9 / Avg: 167.99 / Max: 168.12 Min: 336.65 / Avg: 338.52 / Max: 340.74 Min: 507.47 / Avg: 508.26 / Max: 509.22 Min: 188.42 / Avg: 189.09 / Max: 189.45 Min: 137.55 / Avg: 137.83 / Max: 138.03
Gcrypt Library Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Gcrypt Library 1.9 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 SE +/- 0.70, N = 3 SE +/- 1.43, N = 3 SE +/- 0.38, N = 3 SE +/- 0.64, N = 3 SE +/- 0.57, N = 3 SE +/- 0.37, N = 3 SE +/- 0.81, N = 3 SE +/- 1.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.52, N = 3 SE +/- 0.34, N = 3 SE +/- 0.09, N = 3 SE +/- 0.48, N = 3 SE +/- 1.00, N = 3 261.45 262.91 268.68 273.02 264.99 273.20 265.19 262.12 223.75 257.57 274.30 223.71 264.68 265.92 1. (CC) gcc options: -O2 -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gcrypt Library 1.9 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 Min: 260.68 / Avg: 261.45 / Max: 262.85 Min: 261.48 / Avg: 262.91 / Max: 265.77 Min: 267.92 / Avg: 268.68 / Max: 269.11 Min: 271.81 / Avg: 273.02 / Max: 274.01 Min: 264.26 / Avg: 264.98 / Max: 266.12 Min: 272.5 / Avg: 273.19 / Max: 273.74 Min: 263.73 / Avg: 265.19 / Max: 266.52 Min: 260.44 / Avg: 262.12 / Max: 264 Min: 223.6 / Avg: 223.75 / Max: 223.97 Min: 256.94 / Avg: 257.57 / Max: 258.61 Min: 273.81 / Avg: 274.3 / Max: 274.96 Min: 223.61 / Avg: 223.71 / Max: 223.89 Min: 263.89 / Avg: 264.68 / Max: 265.54 Min: 264.29 / Avg: 265.92 / Max: 267.74 1. (CC) gcc options: -O2 -fvisibility=hidden
ECP-CANDLE The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 817.66 749.67 763.80 783.24 788.52 748.54 789.56 755.01 785.07 739.71 736.22 775.67 783.25 792.74
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Integer + Elliptic Curve Public Key Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1000 2000 3000 4000 5000 SE +/- 5.35, N = 3 SE +/- 2.96, N = 3 SE +/- 1.09, N = 3 SE +/- 5.48, N = 3 SE +/- 2.54, N = 3 SE +/- 1.24, N = 3 SE +/- 2.07, N = 3 SE +/- 4.11, N = 3 SE +/- 3.14, N = 3 SE +/- 5.67, N = 3 SE +/- 2.72, N = 3 SE +/- 2.49, N = 3 SE +/- 3.97, N = 3 SE +/- 3.12, N = 3 4152.60 4151.29 4086.08 3949.44 4085.53 3965.03 4091.78 4139.98 4834.05 4207.91 3949.00 4835.02 4089.12 4072.76 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
MiB/second Per Watt
OpenBenchmarking.org MiB/second Per Watt, More Is Better Crypto++ 8.2 Test: Integer + Elliptic Curve Public Key Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 57.63 82.69 81.20 94.07 68.50 93.36 58.12 81.90 64.14 83.94 91.59 87.24 57.18 61.08
Result Confidence
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Integer + Elliptic Curve Public Key Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 800 1600 2400 3200 4000 Min: 4142.26 / Avg: 4152.6 / Max: 4160.14 Min: 4145.43 / Avg: 4151.29 / Max: 4154.96 Min: 4084.12 / Avg: 4086.08 / Max: 4087.91 Min: 3939.83 / Avg: 3949.44 / Max: 3958.81 Min: 4080.99 / Avg: 4085.53 / Max: 4089.76 Min: 3963.31 / Avg: 3965.03 / Max: 3967.43 Min: 4087.91 / Avg: 4091.78 / Max: 4095.01 Min: 4132.23 / Avg: 4139.98 / Max: 4146.24 Min: 4828.11 / Avg: 4834.05 / Max: 4838.82 Min: 4199.27 / Avg: 4207.91 / Max: 4218.6 Min: 3943.6 / Avg: 3949 / Max: 3952.3 Min: 4830.71 / Avg: 4835.02 / Max: 4839.34 Min: 4081.58 / Avg: 4089.12 / Max: 4095.03 Min: 4068.43 / Avg: 4072.76 / Max: 4078.81 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
Incompact3D Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 SE +/- 0.50, N = 3 SE +/- 0.20, N = 3 SE +/- 0.25, N = 3 SE +/- 1.04, N = 3 SE +/- 1.22, N = 3 SE +/- 0.37, N = 3 SE +/- 0.75, N = 3 SE +/- 0.52, N = 3 SE +/- 0.68, N = 3 SE +/- 0.39, N = 3 SE +/- 0.47, N = 3 SE +/- 0.12, N = 3 SE +/- 0.57, N = 3 SE +/- 0.73, N = 3 224.62 200.21 262.63 450.85 206.58 325.84 206.95 189.66 230.94 187.60 270.72 375.70 193.92 195.34 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 Min: 224.11 / Avg: 224.62 / Max: 225.62 Min: 199.84 / Avg: 200.21 / Max: 200.55 Min: 262.32 / Avg: 262.63 / Max: 263.13 Min: 449.53 / Avg: 450.85 / Max: 452.91 Min: 204.79 / Avg: 206.58 / Max: 208.92 Min: 325.11 / Avg: 325.84 / Max: 326.32 Min: 206.04 / Avg: 206.95 / Max: 208.44 Min: 188.81 / Avg: 189.66 / Max: 190.61 Min: 229.71 / Avg: 230.94 / Max: 232.08 Min: 186.85 / Avg: 187.6 / Max: 188.17 Min: 270.13 / Avg: 270.72 / Max: 271.65 Min: 375.47 / Avg: 375.7 / Max: 375.88 Min: 192.99 / Avg: 193.92 / Max: 194.97 Min: 194.23 / Avg: 195.34 / Max: 196.73 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K SE +/- 53.19, N = 12 SE +/- 18.32, N = 3 SE +/- 1.83, N = 3 SE +/- 15.37, N = 3 SE +/- 70.17, N = 12 SE +/- 2.92, N = 3 SE +/- 46.88, N = 3 SE +/- 63.96, N = 12 SE +/- 112.30, N = 4 SE +/- 29.60, N = 3 SE +/- 45.05, N = 3 SE +/- 45.76, N = 3 SE +/- 105.59, N = 12 SE +/- 73.86, N = 12 6478 8810 8975 8836 7373 8721 6686 8421 9348 8698 8611 9823 8070 7221 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 46.15 108.45 129.62 172.02 68.55 154.91 50.67 96.92 82.09 101.89 142.11 135.13 74.72 59.42
Result Confidence
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K Min: 6037.5 / Avg: 6477.5 / Max: 6804 Min: 8780.5 / Avg: 8809.83 / Max: 8843.5 Min: 8973 / Avg: 8974.83 / Max: 8978.5 Min: 8814.5 / Avg: 8836.33 / Max: 8866 Min: 6932 / Avg: 7373.04 / Max: 7736 Min: 8717.5 / Avg: 8720.67 / Max: 8726.5 Min: 6618 / Avg: 6686.17 / Max: 6776 Min: 7942 / Avg: 8421.42 / Max: 8675.5 Min: 9037.5 / Avg: 9348.13 / Max: 9565.5 Min: 8644 / Avg: 8698 / Max: 8746 Min: 8522 / Avg: 8611.17 / Max: 8667 Min: 9743 / Avg: 9822.67 / Max: 9901.5 Min: 7492 / Avg: 8070 / Max: 8524 Min: 6810.5 / Avg: 7220.58 / Max: 7710.5 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Tinymembench This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Tinymembench 2018-05-28 Standard Memset EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4K 8K 12K 16K 20K SE +/- 217.98, N = 3 SE +/- 46.42, N = 3 SE +/- 20.90, N = 3 SE +/- 21.61, N = 3 SE +/- 217.68, N = 3 SE +/- 37.39, N = 3 SE +/- 52.61, N = 3 SE +/- 13.93, N = 3 SE +/- 39.37, N = 3 SE +/- 39.21, N = 3 SE +/- 18.80, N = 3 SE +/- 28.30, N = 3 SE +/- 27.08, N = 3 17329.8 14961.4 14820.3 14571.7 16494.4 14776.4 15640.1 15097.1 15585.7 15872.0 14921.3 16357.2 14786.9 1. (CC) gcc options: -O2 -lm
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Tinymembench 2018-05-28 Standard Memset EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 70 140 210 280 350 236.78 284.81 279.72 332.00 268.71 334.79 215.62 289.31 209.76 303.95 333.88 286.11 202.28
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Tinymembench 2018-05-28 Standard Memset EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K Min: 16900.6 / Avg: 17329.83 / Max: 17610.5 Min: 14876.5 / Avg: 14961.37 / Max: 15036.4 Min: 14781.5 / Avg: 14820.27 / Max: 14853.2 Min: 14546.4 / Avg: 14571.7 / Max: 14614.7 Min: 16092.5 / Avg: 16494.43 / Max: 16840.3 Min: 14704.8 / Avg: 14776.4 / Max: 14830.9 Min: 15534.9 / Avg: 15640.1 / Max: 15694.5 Min: 15074.8 / Avg: 15097.07 / Max: 15122.7 Min: 15512.6 / Avg: 15585.7 / Max: 15647.6 Min: 15794.6 / Avg: 15872.03 / Max: 15921.5 Min: 14884.6 / Avg: 14921.27 / Max: 14946.8 Min: 16301.7 / Avg: 16357.2 / Max: 16394.6 Min: 14734.2 / Avg: 14786.93 / Max: 14824 1. (CC) gcc options: -O2 -lm
Result
OpenBenchmarking.org MB/s, More Is Better Tinymembench 2018-05-28 Standard Memcpy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K SE +/- 44.65, N = 3 SE +/- 19.03, N = 3 SE +/- 2.29, N = 3 SE +/- 2.95, N = 3 SE +/- 35.12, N = 3 SE +/- 22.30, N = 3 SE +/- 14.82, N = 3 SE +/- 2.05, N = 3 SE +/- 1.52, N = 3 SE +/- 17.46, N = 3 SE +/- 7.90, N = 3 SE +/- 2.03, N = 3 SE +/- 2.22, N = 3 9314.0 8902.8 8842.7 8805.9 9087.1 8825.7 8852.0 8854.2 9055.1 8907.7 8850.6 9025.4 8829.9 1. (CC) gcc options: -O2 -lm
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Tinymembench 2018-05-28 Standard Memcpy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1600 3200 4800 6400 8000 Min: 9224.8 / Avg: 9313.97 / Max: 9362.9 Min: 8864.9 / Avg: 8902.83 / Max: 8924.5 Min: 8838.4 / Avg: 8842.73 / Max: 8846.2 Min: 8800 / Avg: 8805.9 / Max: 8809 Min: 9051.6 / Avg: 9087.07 / Max: 9157.3 Min: 8781.6 / Avg: 8825.67 / Max: 8853.7 Min: 8829.6 / Avg: 8851.97 / Max: 8880 Min: 8851 / Avg: 8854.17 / Max: 8858 Min: 9052.3 / Avg: 9055.13 / Max: 9057.5 Min: 8873.4 / Avg: 8907.73 / Max: 8930.4 Min: 8835.2 / Avg: 8850.57 / Max: 8861.4 Min: 9023.3 / Avg: 9025.43 / Max: 9029.5 Min: 8825.5 / Avg: 8829.87 / Max: 8832.7 1. (CC) gcc options: -O2 -lm
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110 220 330 440 550 SE +/- 7.16, N = 12 SE +/- 4.15, N = 9 SE +/- 5.01, N = 3 SE +/- 0.50, N = 3 SE +/- 0.60, N = 3 SE +/- 1.26, N = 3 SE +/- 6.16, N = 12 SE +/- 4.69, N = 12 SE +/- 6.13, N = 12 SE +/- 1.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.50, N = 3 SE +/- 0.44, N = 3 SE +/- 3.97, N = 3 390 500 456 409 440 403 395 459 372 475 400 480 466 431 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.179 2.358 3.537 4.716 5.895 2.39 4.25 4.50 5.24 3.22 4.79 2.50 3.86 2.50 4.08 4.71 4.10 3.27 2.84
Result Confidence
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 90 180 270 360 450 Min: 335.5 / Avg: 389.54 / Max: 410.5 Min: 468 / Avg: 500.22 / Max: 507 Min: 450.5 / Avg: 456 / Max: 466 Min: 408 / Avg: 409 / Max: 409.5 Min: 439.5 / Avg: 440.33 / Max: 441.5 Min: 401.5 / Avg: 403 / Max: 405.5 Min: 343.5 / Avg: 395 / Max: 412.5 Min: 425.5 / Avg: 459.13 / Max: 469.5 Min: 329.5 / Avg: 371.92 / Max: 403.5 Min: 472.5 / Avg: 474.5 / Max: 476.5 Min: 399.5 / Avg: 400 / Max: 400.5 Min: 479.5 / Avg: 480 / Max: 481 Min: 465.5 / Avg: 466.33 / Max: 467 Min: 424.5 / Avg: 430.5 / Max: 438 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 120 240 360 480 600 SE +/- 0.41, N = 3 SE +/- 0.04, N = 3 SE +/- 0.64, N = 3 SE +/- 0.21, N = 3 SE +/- 0.69, N = 3 SE +/- 0.31, N = 3 SE +/- 0.25, N = 3 SE +/- 0.20, N = 3 SE +/- 0.74, N = 3 SE +/- 0.41, N = 3 SE +/- 0.83, N = 3 SE +/- 0.25, N = 3 SE +/- 1.09, N = 3 SE +/- 0.77, N = 3 103.55 196.70 287.81 558.87 122.03 387.23 101.68 162.29 237.79 148.50 304.34 454.49 168.40 121.21
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 Min: 103.02 / Avg: 103.55 / Max: 104.35 Min: 196.63 / Avg: 196.7 / Max: 196.77 Min: 286.64 / Avg: 287.81 / Max: 288.83 Min: 558.51 / Avg: 558.87 / Max: 559.22 Min: 120.66 / Avg: 122.03 / Max: 122.86 Min: 386.68 / Avg: 387.23 / Max: 387.74 Min: 101.18 / Avg: 101.68 / Max: 101.94 Min: 161.98 / Avg: 162.29 / Max: 162.65 Min: 236.43 / Avg: 237.79 / Max: 238.96 Min: 147.97 / Avg: 148.5 / Max: 149.3 Min: 303.05 / Avg: 304.34 / Max: 305.88 Min: 454.13 / Avg: 454.49 / Max: 454.97 Min: 167.27 / Avg: 168.4 / Max: 170.57 Min: 120.06 / Avg: 121.21 / Max: 122.68
Radiance Benchmark This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: Serial EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 160 320 480 640 800 713.56 714.24 724.99 748.59 727.34 746.72 723.32 721.79 612.89 705.16 746.18 613.55 724.56 725.23
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.
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.03096, N = 3 SE +/- 0.01008, N = 3 SE +/- 0.07483, N = 3 SE +/- 0.00542, N = 3 SE +/- 0.00667, N = 3 SE +/- 0.00448, N = 3 SE +/- 0.00378, N = 3 SE +/- 0.00324, N = 3 SE +/- 0.05299, N = 11 SE +/- 0.00275, N = 3 SE +/- 0.00263, N = 3 SE +/- 0.06375, N = 3 SE +/- 0.00249, N = 3 SE +/- 0.00479, N = 3 17.30750 15.56290 15.63290 8.64661 16.64940 9.09743 17.38630 15.29200 7.08925 15.27940 9.05154 12.95600 17.96770 17.68500 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
GFLOP/s Per Watt
OpenBenchmarking.org GFLOP/s Per Watt, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0315 0.063 0.0945 0.126 0.1575 0.09 0.12 0.14 0.11 0.10 0.11 0.09 0.11 0.05 0.12 0.10 0.11 0.10 0.10
Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 17.25 / Avg: 17.31 / Max: 17.34 Min: 15.55 / Avg: 15.56 / Max: 15.58 Min: 15.51 / Avg: 15.63 / Max: 15.77 Min: 8.64 / Avg: 8.65 / Max: 8.66 Min: 16.64 / Avg: 16.65 / Max: 16.66 Min: 9.09 / Avg: 9.1 / Max: 9.1 Min: 17.38 / Avg: 17.39 / Max: 17.39 Min: 15.29 / Avg: 15.29 / Max: 15.3 Min: 6.64 / Avg: 7.09 / Max: 7.27 Min: 15.28 / Avg: 15.28 / Max: 15.28 Min: 9.05 / Avg: 9.05 / Max: 9.05 Min: 12.86 / Avg: 12.96 / Max: 13.08 Min: 17.96 / Avg: 17.97 / Max: 17.97 Min: 17.68 / Avg: 17.69 / Max: 17.69 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 SE +/- 2.54, N = 3 SE +/- 1.89, N = 3 SE +/- 1.59, N = 3 SE +/- 1.33, N = 3 SE +/- 1.88, N = 4 SE +/- 1.93, N = 5 SE +/- 2.33, N = 9 SE +/- 1.90, N = 3 SE +/- 1.23, N = 3 SE +/- 1.05, N = 3 SE +/- 1.85, N = 3 211.49 170.22 174.20 172.37 177.62 173.90 151.46 165.66 183.22 158.79 175.85 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 40 80 120 160 200 Min: 206.5 / Avg: 211.49 / Max: 214.78 Min: 168.07 / Avg: 170.22 / Max: 173.98 Min: 171.02 / Avg: 174.2 / Max: 175.94 Min: 170.3 / Avg: 172.37 / Max: 174.84 Min: 172.48 / Avg: 177.62 / Max: 181.39 Min: 168.11 / Avg: 173.89 / Max: 179.12 Min: 142 / Avg: 151.46 / Max: 162.3 Min: 162.62 / Avg: 165.66 / Max: 169.15 Min: 181.83 / Avg: 183.22 / Max: 185.67 Min: 157.45 / Avg: 158.79 / Max: 160.86 Min: 172.42 / Avg: 175.85 / Max: 178.76 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
ECP-CANDLE The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 649.31 576.98 574.77 715.21 584.61 623.78 604.15 577.65 1108.26 566.99 655.45 668.99 586.67 590.56
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.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 SE +/- 0.04, N = 3 SE +/- 0.70, N = 3 SE +/- 0.09, N = 15 SE +/- 0.12, N = 11 SE +/- 0.05, N = 15 SE +/- 0.09, N = 4 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 15 SE +/- 0.09, N = 3 SE +/- 0.02, N = 14 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 38.00 36.88 41.12 38.33 35.47 38.62 33.58 32.92 43.36 31.87 43.13 34.91 32.47 32.86 MIN: 36.26 / MAX: 38.93 MIN: 35.1 / MAX: 40.26 MIN: 39.63 / MAX: 81.35 MIN: 37.06 / MAX: 55.19 MIN: 34.49 / MAX: 38.11 MIN: 38.09 / MAX: 52.97 MIN: 32.98 / MAX: 34.68 MIN: 32.02 / MAX: 35.9 MIN: 40.47 / MAX: 57.18 MIN: 30.79 / MAX: 34.77 MIN: 42.07 / MAX: 59.48 MIN: 33.81 / MAX: 50.1 MIN: 32.03 / MAX: 34.7 MIN: 32.05 / MAX: 34.89 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 Min: 37.92 / Avg: 38 / Max: 38.08 Min: 35.66 / Avg: 36.88 / Max: 38.08 Min: 40.41 / Avg: 41.12 / Max: 41.65 Min: 37.94 / Avg: 38.33 / Max: 39.34 Min: 34.98 / Avg: 35.47 / Max: 35.68 Min: 38.45 / Avg: 38.62 / Max: 38.79 Min: 33.57 / Avg: 33.58 / Max: 33.59 Min: 32.64 / Avg: 32.92 / Max: 33.11 Min: 42.82 / Avg: 43.36 / Max: 43.65 Min: 31.52 / Avg: 31.87 / Max: 32.13 Min: 43 / Avg: 43.13 / Max: 43.3 Min: 34.79 / Avg: 34.91 / Max: 35.08 Min: 32.35 / Avg: 32.47 / Max: 32.57 Min: 32.62 / Avg: 32.86 / Max: 33.02 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.3001 2.6002 3.9003 5.2004 6.5005 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 SE +/- 0.005, N = 15 SE +/- 0.007, N = 11 SE +/- 0.004, N = 15 SE +/- 0.015, N = 4 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.401, N = 3 SE +/- 0.005, N = 15 SE +/- 0.060, N = 3 SE +/- 0.002, N = 14 SE +/- 0.008, N = 3 SE +/- 0.024, N = 3 3.187 3.213 3.856 3.917 3.022 5.322 3.073 2.927 5.778 2.836 4.081 3.625 3.003 3.056 MIN: 3.13 / MAX: 3.28 MIN: 3.15 / MAX: 4.81 MIN: 3.74 / MAX: 20.71 MIN: 3.79 / MAX: 19.86 MIN: 2.96 / MAX: 3.4 MIN: 5.22 / MAX: 13.18 MIN: 3.03 / MAX: 3.22 MIN: 2.87 / MAX: 5.27 MIN: 4.65 / MAX: 7.24 MIN: 2.77 / MAX: 4.94 MIN: 3.8 / MAX: 20.13 MIN: 3.57 / MAX: 17.34 MIN: 2.95 / MAX: 3.25 MIN: 2.98 / MAX: 3.31 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.19 / Avg: 3.21 / Max: 3.23 Min: 3.82 / Avg: 3.86 / Max: 3.88 Min: 3.86 / Avg: 3.92 / Max: 3.95 Min: 3.01 / Avg: 3.02 / Max: 3.05 Min: 5.3 / Avg: 5.32 / Max: 5.36 Min: 3.06 / Avg: 3.07 / Max: 3.09 Min: 2.92 / Avg: 2.93 / Max: 2.95 Min: 5 / Avg: 5.78 / Max: 6.34 Min: 2.81 / Avg: 2.84 / Max: 2.88 Min: 3.98 / Avg: 4.08 / Max: 4.18 Min: 3.61 / Avg: 3.62 / Max: 3.64 Min: 2.99 / Avg: 3 / Max: 3.02 Min: 3.02 / Avg: 3.06 / Max: 3.1 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
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.016, N = 3 SE +/- 0.026, N = 3 SE +/- 0.046, N = 15 SE +/- 0.030, N = 11 SE +/- 0.008, N = 15 SE +/- 0.155, N = 4 SE +/- 0.022, N = 3 SE +/- 0.028, N = 3 SE +/- 0.391, N = 3 SE +/- 0.009, N = 15 SE +/- 0.033, N = 3 SE +/- 0.017, N = 14 SE +/- 0.022, N = 3 SE +/- 0.016, N = 3 5.067 5.270 5.772 4.944 4.852 5.930 4.920 4.820 8.171 4.713 5.855 4.578 4.821 4.825 MIN: 4.95 / MAX: 5.21 MIN: 5.12 / MAX: 6.52 MIN: 5.46 / MAX: 20.47 MIN: 4.74 / MAX: 7.04 MIN: 4.69 / MAX: 5.21 MIN: 5.53 / MAX: 20.6 MIN: 4.78 / MAX: 5.1 MIN: 4.67 / MAX: 6.92 MIN: 7.28 / MAX: 12.17 MIN: 4.51 / MAX: 6.85 MIN: 5.58 / MAX: 23.16 MIN: 4.43 / MAX: 10.46 MIN: 4.72 / MAX: 5.31 MIN: 4.71 / MAX: 5.16 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 5.05 / Avg: 5.07 / Max: 5.1 Min: 5.23 / Avg: 5.27 / Max: 5.32 Min: 5.57 / Avg: 5.77 / Max: 6.19 Min: 4.81 / Avg: 4.94 / Max: 5.12 Min: 4.78 / Avg: 4.85 / Max: 4.89 Min: 5.66 / Avg: 5.93 / Max: 6.37 Min: 4.88 / Avg: 4.92 / Max: 4.96 Min: 4.78 / Avg: 4.82 / Max: 4.87 Min: 7.72 / Avg: 8.17 / Max: 8.95 Min: 4.6 / Avg: 4.71 / Max: 4.75 Min: 5.81 / Avg: 5.86 / Max: 5.92 Min: 4.51 / Avg: 4.58 / Max: 4.67 Min: 4.8 / Avg: 4.82 / Max: 4.87 Min: 4.79 / Avg: 4.83 / Max: 4.84 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
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: resnet-v2-50 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 SE +/- 0.07, N = 3 SE +/- 0.97, N = 3 SE +/- 0.09, N = 15 SE +/- 0.12, N = 11 SE +/- 0.05, N = 15 SE +/- 0.11, N = 4 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 15 SE +/- 0.12, N = 3 SE +/- 0.01, N = 14 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 26.92 29.02 31.54 31.44 25.44 38.10 25.22 25.06 33.50 24.30 33.59 27.45 25.27 24.78 MIN: 26.49 / MAX: 27.67 MIN: 27.23 / MAX: 33.12 MIN: 30.05 / MAX: 48.95 MIN: 30.44 / MAX: 49.82 MIN: 24.73 / MAX: 28.58 MIN: 36.85 / MAX: 55.75 MIN: 24.73 / MAX: 27.24 MIN: 24.51 / MAX: 27.82 MIN: 32.85 / MAX: 46.41 MIN: 23.72 / MAX: 27.28 MIN: 32.54 / MAX: 48.77 MIN: 27.01 / MAX: 58.07 MIN: 24.96 / MAX: 28.42 MIN: 24.46 / MAX: 25.37 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: resnet-v2-50 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 26.83 / Avg: 26.92 / Max: 27.06 Min: 27.93 / Avg: 29.02 / Max: 30.96 Min: 30.84 / Avg: 31.54 / Max: 32 Min: 30.9 / Avg: 31.44 / Max: 32.5 Min: 25.04 / Avg: 25.44 / Max: 25.64 Min: 37.9 / Avg: 38.1 / Max: 38.42 Min: 25.03 / Avg: 25.22 / Max: 25.35 Min: 24.81 / Avg: 25.06 / Max: 25.18 Min: 33.28 / Avg: 33.5 / Max: 33.89 Min: 23.9 / Avg: 24.3 / Max: 24.57 Min: 33.39 / Avg: 33.59 / Max: 33.8 Min: 27.35 / Avg: 27.44 / Max: 27.53 Min: 25.2 / Avg: 25.27 / Max: 25.36 Min: 24.73 / Avg: 24.78 / Max: 24.82 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
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.014, N = 3 SE +/- 0.114, N = 3 SE +/- 0.061, N = 15 SE +/- 0.071, N = 11 SE +/- 0.271, N = 15 SE +/- 0.115, N = 4 SE +/- 0.018, N = 3 SE +/- 0.048, N = 3 SE +/- 0.064, N = 3 SE +/- 0.252, N = 15 SE +/- 0.027, N = 3 SE +/- 0.062, N = 14 SE +/- 0.016, N = 3 SE +/- 0.003, N = 3 8.375 8.978 9.504 9.650 8.142 9.768 7.542 7.493 10.209 7.625 9.610 9.357 7.338 7.479 MIN: 8.25 / MAX: 8.55 MIN: 8.7 / MAX: 10.42 MIN: 9.01 / MAX: 25.56 MIN: 9.16 / MAX: 25.96 MIN: 7.43 / MAX: 13.26 MIN: 9.3 / MAX: 12.44 MIN: 7.38 / MAX: 8.01 MIN: 7.29 / MAX: 9.78 MIN: 10.06 / MAX: 11.23 MIN: 7.08 / MAX: 14.04 MIN: 9.28 / MAX: 25.71 MIN: 8.98 / MAX: 23.95 MIN: 7.23 / MAX: 7.87 MIN: 7.34 / MAX: 8.04 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 8.35 / Avg: 8.37 / Max: 8.4 Min: 8.84 / Avg: 8.98 / Max: 9.2 Min: 9.26 / Avg: 9.5 / Max: 10.27 Min: 9.3 / Avg: 9.65 / Max: 10.14 Min: 7.63 / Avg: 8.14 / Max: 11.51 Min: 9.49 / Avg: 9.77 / Max: 10.05 Min: 7.51 / Avg: 7.54 / Max: 7.56 Min: 7.44 / Avg: 7.49 / Max: 7.59 Min: 10.14 / Avg: 10.21 / Max: 10.34 Min: 7.17 / Avg: 7.63 / Max: 10.86 Min: 9.58 / Avg: 9.61 / Max: 9.66 Min: 9.16 / Avg: 9.36 / Max: 10 Min: 7.32 / Avg: 7.34 / Max: 7.37 Min: 7.47 / Avg: 7.48 / Max: 7.48 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
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6K 12K 18K 24K 30K SE +/- 189.69, N = 6 SE +/- 228.79, N = 5 SE +/- 278.67, N = 4 SE +/- 130.62, N = 3 SE +/- 149.83, N = 11 SE +/- 251.88, N = 3 SE +/- 203.19, N = 6 SE +/- 303.68, N = 3 SE +/- 205.94, N = 13 SE +/- 300.22, N = 3 SE +/- 162.08, N = 13 SE +/- 296.05, N = 4 SE +/- 233.41, N = 5 SE +/- 208.12, N = 5 19062.92 21653.91 22339.85 23230.19 20634.20 23807.67 19915.00 21272.04 24205.54 21442.00 22574.80 27135.63 20967.48 20036.19 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Test Cases Per Minute Per Watt
OpenBenchmarking.org Test Cases Per Minute Per Watt, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110 220 330 440 550 211.71 372.78 405.87 531.57 278.09 527.48 231.24 356.46 283.96 365.15 475.56 446.35 261.72 242.20
Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K Min: 18118.9 / Avg: 19062.92 / Max: 19320.87 Min: 20776.27 / Avg: 21653.91 / Max: 22118.67 Min: 21516.1 / Avg: 22339.85 / Max: 22741.4 Min: 22989.39 / Avg: 23230.19 / Max: 23438.32 Min: 19629.33 / Avg: 20634.2 / Max: 21282.63 Min: 23305.32 / Avg: 23807.67 / Max: 24091.45 Min: 18959.86 / Avg: 19915 / Max: 20292.89 Min: 20665.78 / Avg: 21272.04 / Max: 21606.83 Min: 22569.97 / Avg: 24205.54 / Max: 25313.47 Min: 20857.09 / Avg: 21442 / Max: 21851.95 Min: 20715.3 / Avg: 22574.8 / Max: 23030.24 Min: 26266.6 / Avg: 27135.63 / Max: 27598.01 Min: 20100.44 / Avg: 20967.48 / Max: 21472.74 Min: 19216.66 / Avg: 20036.19 / Max: 20355.61 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 2048 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6K 12K 18K 24K 30K SE +/- 294.57, N = 15 SE +/- 250.51, N = 6 SE +/- 238.46, N = 3 SE +/- 93.54, N = 3 SE +/- 82.21, N = 3 SE +/- 254.46, N = 15 SE +/- 287.13, N = 3 SE +/- 275.94, N = 15 SE +/- 239.23, N = 3 SE +/- 218.98, N = 3 SE +/- 144.50, N = 3 SE +/- 204.43, N = 3 SE +/- 124.32, N = 3 SE +/- 82.48, N = 3 26143 26769 26045 18378 26303 24876 26867 26186 26636 26724 25601 30037 26305 26289 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 2048 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 130 260 390 520 650 361.64 530.99 516.81 440.07 437.62 580.44 383.02 515.11 365.69 536.35 588.80 541.24 372.69 393.21
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 2048 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K Min: 23624 / Avg: 26142.87 / Max: 27261 Min: 26241 / Avg: 26768.83 / Max: 27891 Min: 25635 / Avg: 26045.33 / Max: 26461 Min: 18209 / Avg: 18378 / Max: 18532 Min: 26216 / Avg: 26302.67 / Max: 26467 Min: 23020 / Avg: 24876 / Max: 25801 Min: 26432 / Avg: 26866.67 / Max: 27409 Min: 23734 / Avg: 26185.6 / Max: 27586 Min: 26158 / Avg: 26636.33 / Max: 26885 Min: 26452 / Avg: 26723.67 / Max: 27157 Min: 25375 / Avg: 25601 / Max: 25870 Min: 29628 / Avg: 30036.67 / Max: 30252 Min: 26075 / Avg: 26304.67 / Max: 26502 Min: 26194 / Avg: 26288.67 / Max: 26453 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
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.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.88, N = 9 SE +/- 0.47, N = 3 SE +/- 0.51, N = 3 SE +/- 0.30, N = 3 SE +/- 2.91, N = 3 SE +/- 0.04, N = 3 SE +/- 1.58, N = 9 SE +/- 0.89, N = 3 SE +/- 0.05, N = 3 SE +/- 1.20, N = 3 SE +/- 0.34, N = 3 SE +/- 0.20, N = 3 SE +/- 0.60, N = 11 SE +/- 1.44, N = 12 120.47 51.09 41.35 31.16 91.90 34.24 115.48 60.77 46.30 61.29 40.27 32.16 66.90 93.95 MIN: 113.86 / MAX: 575.1 MIN: 49.4 / MAX: 53.35 MIN: 40.02 / MAX: 44.02 MIN: 30.33 / MAX: 33.9 MIN: 86.84 / MAX: 102.42 MIN: 33.82 / MAX: 47.56 MIN: 104.38 / MAX: 272.84 MIN: 58.26 / MAX: 140.56 MIN: 45.45 / MAX: 121.75 MIN: 59.46 / MAX: 72.41 MIN: 38.44 / MAX: 167.34 MIN: 31.34 / MAX: 32.97 MIN: 63.42 / MAX: 212.32 MIN: 86.48 / MAX: 1086.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 117.06 / Avg: 120.47 / Max: 124.46 Min: 50.14 / Avg: 51.09 / Max: 51.59 Min: 40.41 / Avg: 41.35 / Max: 42.16 Min: 30.61 / Avg: 31.16 / Max: 31.62 Min: 88.94 / Avg: 91.9 / Max: 97.72 Min: 34.18 / Avg: 34.24 / Max: 34.32 Min: 105.72 / Avg: 115.48 / Max: 120.7 Min: 59.06 / Avg: 60.77 / Max: 62.06 Min: 46.2 / Avg: 46.3 / Max: 46.36 Min: 60 / Avg: 61.29 / Max: 63.69 Min: 39.89 / Avg: 40.27 / Max: 40.94 Min: 31.76 / Avg: 32.16 / Max: 32.37 Min: 64.25 / Avg: 66.9 / Max: 69.82 Min: 87.38 / Avg: 93.95 / Max: 100.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.20, N = 9 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 9 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 11 SE +/- 0.09, N = 12 33.77 23.02 22.45 27.97 28.94 22.62 32.09 23.73 25.20 24.52 22.85 25.76 25.94 28.68 MIN: 32.17 / MAX: 177.38 MIN: 22.47 / MAX: 24.28 MIN: 21.7 / MAX: 24.03 MIN: 27.46 / MAX: 42.1 MIN: 28.1 / MAX: 41.11 MIN: 22.05 / MAX: 23.63 MIN: 30.51 / MAX: 174.53 MIN: 22.99 / MAX: 25.94 MIN: 24.28 / MAX: 26.66 MIN: 24.07 / MAX: 27.01 MIN: 21.95 / MAX: 99.38 MIN: 24.63 / MAX: 28.33 MIN: 25.15 / MAX: 38.37 MIN: 27.54 / MAX: 42.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 Min: 33.05 / Avg: 33.77 / Max: 34.89 Min: 22.92 / Avg: 23.02 / Max: 23.09 Min: 22.32 / Avg: 22.45 / Max: 22.58 Min: 27.95 / Avg: 27.97 / Max: 27.99 Min: 28.89 / Avg: 28.94 / Max: 28.98 Min: 22.44 / Avg: 22.62 / Max: 22.74 Min: 31.56 / Avg: 32.09 / Max: 32.7 Min: 23.45 / Avg: 23.73 / Max: 23.93 Min: 24.91 / Avg: 25.2 / Max: 25.41 Min: 24.41 / Avg: 24.52 / Max: 24.65 Min: 22.7 / Avg: 22.85 / Max: 22.98 Min: 25.69 / Avg: 25.76 / Max: 25.86 Min: 25.63 / Avg: 25.94 / Max: 26.21 Min: 28.28 / Avg: 28.68 / Max: 29.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.22, N = 9 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.50, N = 3 SE +/- 0.10, N = 3 SE +/- 0.61, N = 3 SE +/- 0.12, N = 9 SE +/- 0.33, N = 3 SE +/- 0.28, N = 3 SE +/- 0.04, N = 3 SE +/- 0.45, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 11 SE +/- 0.06, N = 12 35.66 27.78 27.87 29.67 31.61 29.23 34.15 29.11 35.38 28.27 29.78 27.61 29.66 30.63 MIN: 34 / MAX: 102.9 MIN: 27.43 / MAX: 29.51 MIN: 27.31 / MAX: 41.48 MIN: 28.72 / MAX: 42.97 MIN: 30.9 / MAX: 36.86 MIN: 28.35 / MAX: 32.28 MIN: 32.54 / MAX: 132.52 MIN: 28.33 / MAX: 32.38 MIN: 34.22 / MAX: 37.33 MIN: 27.87 / MAX: 31.14 MIN: 28.36 / MAX: 108.17 MIN: 26.76 / MAX: 28.5 MIN: 28.65 / MAX: 167.51 MIN: 29.81 / MAX: 126.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 34.86 / Avg: 35.66 / Max: 36.9 Min: 27.74 / Avg: 27.78 / Max: 27.82 Min: 27.62 / Avg: 27.87 / Max: 28.19 Min: 29 / Avg: 29.67 / Max: 30.66 Min: 31.41 / Avg: 31.61 / Max: 31.75 Min: 28.56 / Avg: 29.23 / Max: 30.45 Min: 33.31 / Avg: 34.15 / Max: 34.59 Min: 28.7 / Avg: 29.11 / Max: 29.76 Min: 34.83 / Avg: 35.38 / Max: 35.68 Min: 28.2 / Avg: 28.27 / Max: 28.34 Min: 28.88 / Avg: 29.78 / Max: 30.25 Min: 27.05 / Avg: 27.61 / Max: 28 Min: 29.28 / Avg: 29.66 / Max: 31.16 Min: 30.33 / Avg: 30.63 / Max: 30.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.25, N = 9 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.25, N = 3 SE +/- 0.33, N = 3 SE +/- 0.12, N = 9 SE +/- 0.26, N = 3 SE +/- 0.33, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 11 SE +/- 0.19, N = 12 34.51 22.79 21.88 28.19 28.57 26.83 32.73 24.32 35.47 23.55 25.17 23.75 24.62 27.83 MIN: 31.68 / MAX: 186.94 MIN: 22.48 / MAX: 33.96 MIN: 21.64 / MAX: 23.37 MIN: 27.81 / MAX: 29.82 MIN: 27.64 / MAX: 33.13 MIN: 26.22 / MAX: 41.74 MIN: 31.74 / MAX: 44.34 MIN: 23.62 / MAX: 27.07 MIN: 34.12 / MAX: 114.69 MIN: 23.01 / MAX: 26.62 MIN: 24.53 / MAX: 50.53 MIN: 23.29 / MAX: 24.37 MIN: 23.94 / MAX: 27.83 MIN: 26.6 / MAX: 234.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 33.19 / Avg: 34.51 / Max: 35.72 Min: 22.65 / Avg: 22.79 / Max: 22.86 Min: 21.81 / Avg: 21.88 / Max: 21.92 Min: 27.94 / Avg: 28.19 / Max: 28.64 Min: 28.08 / Avg: 28.57 / Max: 28.9 Min: 26.36 / Avg: 26.83 / Max: 27.48 Min: 32.29 / Avg: 32.73 / Max: 33.15 Min: 23.81 / Avg: 24.32 / Max: 24.65 Min: 34.82 / Avg: 35.47 / Max: 35.92 Min: 23.25 / Avg: 23.55 / Max: 23.73 Min: 25.05 / Avg: 25.17 / Max: 25.35 Min: 23.57 / Avg: 23.75 / Max: 23.86 Min: 24.38 / Avg: 24.62 / Max: 24.86 Min: 27.17 / Avg: 27.83 / Max: 29.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.09, N = 9 SE +/- 0.01, N = 3 SE +/- 0.01, N = 2 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 9 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 11 SE +/- 0.07, N = 12 9.04 7.80 7.44 9.86 9.49 9.86 8.81 8.55 9.87 8.28 10.16 7.60 7.81 8.56 MIN: 8.61 / MAX: 17.95 MIN: 7.66 / MAX: 9.41 MIN: 7.34 / MAX: 8.53 MIN: 9.77 / MAX: 25.65 MIN: 8.54 / MAX: 13.63 MIN: 9.77 / MAX: 10.66 MIN: 8.44 / MAX: 32.96 MIN: 8.18 / MAX: 10.72 MIN: 9.45 / MAX: 10.5 MIN: 8 / MAX: 10.85 MIN: 9.88 / MAX: 21.62 MIN: 7.51 / MAX: 8.13 MIN: 7.55 / MAX: 10.47 MIN: 8.22 / MAX: 24.11 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 8.83 / Avg: 9.04 / Max: 9.5 Min: 7.78 / Avg: 7.8 / Max: 7.82 Min: 7.43 / Avg: 7.44 / Max: 7.45 Min: 9.84 / Avg: 9.86 / Max: 9.9 Min: 8.86 / Avg: 9.49 / Max: 9.82 Min: 9.82 / Avg: 9.86 / Max: 9.89 Min: 8.55 / Avg: 8.81 / Max: 9.42 Min: 8.38 / Avg: 8.55 / Max: 8.86 Min: 9.7 / Avg: 9.87 / Max: 10.15 Min: 8.12 / Avg: 8.28 / Max: 8.6 Min: 10.05 / Avg: 10.16 / Max: 10.31 Min: 7.6 / Avg: 7.6 / Max: 7.61 Min: 7.65 / Avg: 7.81 / Max: 8.24 Min: 8.41 / Avg: 8.56 / Max: 9.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13 26 39 52 65 SE +/- 0.24, N = 9 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.27, N = 9 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.27, N = 3 SE +/- 0.18, N = 3 SE +/- 0.15, N = 11 SE +/- 0.19, N = 12 39.03 31.46 30.84 40.67 34.20 40.01 37.35 32.04 59.81 31.48 39.42 33.81 33.27 34.90 MIN: 36.68 / MAX: 159.21 MIN: 31.24 / MAX: 33.08 MIN: 30.45 / MAX: 32.11 MIN: 40.35 / MAX: 43.91 MIN: 33.04 / MAX: 37.52 MIN: 39.54 / MAX: 41.05 MIN: 35.01 / MAX: 111.55 MIN: 31.32 / MAX: 109.6 MIN: 57.95 / MAX: 122.99 MIN: 31.08 / MAX: 45.9 MIN: 38.3 / MAX: 143.19 MIN: 33.39 / MAX: 80.53 MIN: 31.92 / MAX: 108.33 MIN: 33.25 / MAX: 146.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 12 24 36 48 60 Min: 38.1 / Avg: 39.03 / Max: 40.32 Min: 31.45 / Avg: 31.46 / Max: 31.48 Min: 30.69 / Avg: 30.84 / Max: 31.08 Min: 40.61 / Avg: 40.67 / Max: 40.77 Min: 33.59 / Avg: 34.2 / Max: 34.65 Min: 39.75 / Avg: 40.01 / Max: 40.15 Min: 35.99 / Avg: 37.35 / Max: 38.19 Min: 31.88 / Avg: 32.04 / Max: 32.28 Min: 59.51 / Avg: 59.81 / Max: 60.01 Min: 31.34 / Avg: 31.48 / Max: 31.56 Min: 38.92 / Avg: 39.42 / Max: 39.85 Min: 33.62 / Avg: 33.81 / Max: 34.17 Min: 32.69 / Avg: 33.27 / Max: 34.04 Min: 34.19 / Avg: 34.9 / Max: 36.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.72, N = 9 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.37, N = 3 SE +/- 0.16, N = 3 SE +/- 0.82, N = 9 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 11 SE +/- 0.64, N = 12 36.67 19.52 19.70 22.33 26.50 20.06 35.78 21.14 24.14 20.43 20.46 20.54 23.59 28.92 MIN: 30.26 / MAX: 274.51 MIN: 19.11 / MAX: 21.65 MIN: 19.2 / MAX: 20.45 MIN: 21.92 / MAX: 23.79 MIN: 24.55 / MAX: 33.31 MIN: 19.5 / MAX: 23.62 MIN: 28.31 / MAX: 170.87 MIN: 20.56 / MAX: 35 MIN: 23.55 / MAX: 25.73 MIN: 19.91 / MAX: 33.27 MIN: 19.72 / MAX: 77.23 MIN: 20.19 / MAX: 21.27 MIN: 22.06 / MAX: 161.6 MIN: 24.32 / MAX: 41.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 32.61 / Avg: 36.67 / Max: 39.06 Min: 19.39 / Avg: 19.52 / Max: 19.6 Min: 19.56 / Avg: 19.7 / Max: 19.85 Min: 22.23 / Avg: 22.33 / Max: 22.53 Min: 25.8 / Avg: 26.5 / Max: 27.04 Min: 19.75 / Avg: 20.06 / Max: 20.29 Min: 31.86 / Avg: 35.78 / Max: 39.06 Min: 20.98 / Avg: 21.14 / Max: 21.44 Min: 24 / Avg: 24.14 / Max: 24.32 Min: 20.38 / Avg: 20.43 / Max: 20.48 Min: 20.36 / Avg: 20.46 / Max: 20.66 Min: 20.4 / Avg: 20.54 / Max: 20.73 Min: 22.94 / Avg: 23.59 / Max: 24.92 Min: 26.74 / Avg: 28.92 / Max: 33.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40K 80K 120K 160K 200K SE +/- 182.06, N = 3 SE +/- 92.46, N = 3 SE +/- 37.21, N = 3 SE +/- 139.37, N = 3 SE +/- 1549.72, N = 7 SE +/- 272.29, N = 3 SE +/- 146.69, N = 3 SE +/- 187.42, N = 3 SE +/- 1333.26, N = 3 SE +/- 120.93, N = 3 SE +/- 76.96, N = 3 SE +/- 101.93, N = 3 SE +/- 106.86, N = 3 SE +/- 114.49, N = 3 128965 154693 152539 151559 171885 154871 127699 168728 151327 162544 155763 140558 172508 173812 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K Min: 128622 / Avg: 128965.33 / Max: 129242 Min: 154545 / Avg: 154693 / Max: 154863 Min: 152490 / Avg: 152539 / Max: 152612 Min: 151334 / Avg: 151559 / Max: 151814 Min: 162598 / Avg: 171885 / Max: 173740 Min: 154328 / Avg: 154871.33 / Max: 155175 Min: 127449 / Avg: 127699.33 / Max: 127957 Min: 168512 / Avg: 168727.67 / Max: 169101 Min: 149779 / Avg: 151326.67 / Max: 153981 Min: 162302 / Avg: 162543.67 / Max: 162673 Min: 155611 / Avg: 155763 / Max: 155860 Min: 140379 / Avg: 140558 / Max: 140732 Min: 172364 / Avg: 172508.33 / Max: 172717 Min: 173597 / Avg: 173811.67 / Max: 173988 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
asmFish This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30M 60M 90M 120M 150M SE +/- 688813.01, N = 3 SE +/- 395352.82, N = 3 SE +/- 230890.74, N = 3 SE +/- 57670.67, N = 3 SE +/- 373542.05, N = 3 SE +/- 91373.33, N = 3 SE +/- 1202983.30, N = 3 SE +/- 375595.74, N = 3 SE +/- 491333.28, N = 3 SE +/- 394553.31, N = 3 SE +/- 215295.19, N = 3 SE +/- 83002.90, N = 3 SE +/- 939330.26, N = 3 122849461 62581775 42112219 21027795 105304578 31791813 126290077 78084684 46342665 82716262 41583844 24675753 74422699
Nodes/second Per Watt
OpenBenchmarking.org Nodes/second Per Watt, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 140K 280K 420K 560K 700K 630429.66 390336.76 359777.90 282725.36 586425.64 333068.50 665647.19 513107.47 231626.04 473583.96 394905.45 228242.13 437974.87
Result Confidence
OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20M 40M 60M 80M 100M Min: 122057435 / Avg: 122849461.33 / Max: 124221646 Min: 61945670 / Avg: 62581775.33 / Max: 63306570 Min: 41683109 / Avg: 42112219 / Max: 42474524 Min: 20912491 / Avg: 21027794.67 / Max: 21087999 Min: 104841596 / Avg: 105304577.67 / Max: 106043845 Min: 31610049 / Avg: 31791813.33 / Max: 31899083 Min: 124900585 / Avg: 126290076.67 / Max: 128685849 Min: 77335639 / Avg: 78084684 / Max: 78508351 Min: 45648904 / Avg: 46342664.67 / Max: 47292245 Min: 82311763 / Avg: 82716261.67 / Max: 83505284 Min: 41298645 / Avg: 41583844.33 / Max: 42005822 Min: 24510321 / Avg: 24675752.67 / Max: 24770415 Min: 72577275 / Avg: 74422699 / Max: 75650094
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 75, Compression Effort 7 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 SE +/- 0.47, N = 3 SE +/- 0.09, N = 3 SE +/- 1.62, N = 3 SE +/- 0.87, N = 3 SE +/- 0.13, N = 3 SE +/- 0.65, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.46, N = 3 SE +/- 0.04, N = 3 SE +/- 1.08, N = 3 SE +/- 0.90, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 139.36 138.04 164.81 277.67 140.18 199.54 139.56 137.44 140.61 135.97 173.72 227.13 142.20 138.08 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 75, Compression Effort 7 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 Min: 138.86 / Avg: 139.36 / Max: 140.29 Min: 137.91 / Avg: 138.04 / Max: 138.21 Min: 161.8 / Avg: 164.81 / Max: 167.37 Min: 275.95 / Avg: 277.67 / Max: 278.78 Min: 140 / Avg: 140.18 / Max: 140.43 Min: 198.32 / Avg: 199.54 / Max: 200.54 Min: 139.49 / Avg: 139.56 / Max: 139.6 Min: 137.39 / Avg: 137.44 / Max: 137.53 Min: 140.07 / Avg: 140.61 / Max: 141.52 Min: 135.9 / Avg: 135.97 / Max: 136.04 Min: 172.62 / Avg: 173.72 / Max: 175.87 Min: 225.67 / Avg: 227.13 / Max: 228.77 Min: 142.07 / Avg: 142.2 / Max: 142.38 Min: 138.03 / Avg: 138.08 / Max: 138.13 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
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.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 9 SE +/- 0.13, N = 9 SE +/- 0.22, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 11 SE +/- 0.50, N = 12 12.53 12.02 14.14 14.95 14.50 16.19 16.80 13.17 15.83 13.01 14.52 11.88 13.09 15.35 MIN: 12.29 / MAX: 14.54 MIN: 11.87 / MAX: 12.25 MIN: 14.02 / MAX: 14.84 MIN: 14.44 / MAX: 17.51 MIN: 14.03 / MAX: 30.23 MIN: 14.96 / MAX: 24.1 MIN: 15.34 / MAX: 148.17 MIN: 12.72 / MAX: 15.99 MIN: 15.56 / MAX: 17.09 MIN: 12.71 / MAX: 16.73 MIN: 14.04 / MAX: 90.85 MIN: 11.62 / MAX: 12.46 MIN: 12.54 / MAX: 15.91 MIN: 13.83 / MAX: 1062.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 12.49 / Avg: 12.53 / Max: 12.57 Min: 11.98 / Avg: 12.02 / Max: 12.05 Min: 14.12 / Avg: 14.14 / Max: 14.15 Min: 14.77 / Avg: 14.95 / Max: 15.05 Min: 14.19 / Avg: 14.5 / Max: 14.66 Min: 15.8 / Avg: 16.19 / Max: 16.66 Min: 16.19 / Avg: 16.8 / Max: 17.25 Min: 12.85 / Avg: 13.17 / Max: 13.59 Min: 15.79 / Avg: 15.83 / Max: 15.87 Min: 12.88 / Avg: 13.01 / Max: 13.19 Min: 14.26 / Avg: 14.52 / Max: 14.98 Min: 11.76 / Avg: 11.88 / Max: 11.97 Min: 12.94 / Avg: 13.09 / Max: 13.29 Min: 14.54 / Avg: 15.35 / Max: 20.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.28, N = 3 SE +/- 1.29, N = 9 SE +/- 1.15, N = 9 SE +/- 0.33, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.48, N = 3 SE +/- 0.10, N = 3 SE +/- 0.29, N = 11 SE +/- 0.86, N = 12 17.64 16.83 17.87 23.97 17.58 34.00 36.76 20.35 21.84 19.94 18.84 16.32 21.93 27.68 MIN: 17.29 / MAX: 30.94 MIN: 16.42 / MAX: 20.42 MIN: 17.59 / MAX: 19.75 MIN: 23.45 / MAX: 28.72 MIN: 17.05 / MAX: 18.64 MIN: 27.04 / MAX: 97.01 MIN: 28.46 / MAX: 174.17 MIN: 19.39 / MAX: 62.1 MIN: 20.88 / MAX: 25.6 MIN: 19.43 / MAX: 22.28 MIN: 17.66 / MAX: 132.29 MIN: 15.69 / MAX: 79.67 MIN: 20.32 / MAX: 95.63 MIN: 23.41 / MAX: 138.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 17.62 / Avg: 17.64 / Max: 17.68 Min: 16.81 / Avg: 16.83 / Max: 16.84 Min: 17.81 / Avg: 17.87 / Max: 17.93 Min: 23.7 / Avg: 23.97 / Max: 24.12 Min: 17.28 / Avg: 17.58 / Max: 18.13 Min: 29.81 / Avg: 34 / Max: 38.69 Min: 32.1 / Avg: 36.76 / Max: 42.47 Min: 19.9 / Avg: 20.35 / Max: 20.99 Min: 21.32 / Avg: 21.84 / Max: 22.24 Min: 19.7 / Avg: 19.94 / Max: 20.06 Min: 18.11 / Avg: 18.84 / Max: 19.74 Min: 16.12 / Avg: 16.32 / Max: 16.47 Min: 20.81 / Avg: 21.93 / Max: 23.79 Min: 23.94 / Avg: 27.68 / Max: 33.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.67, N = 3 SE +/- 0.02, N = 3 SE +/- 0.37, N = 9 SE +/- 0.25, N = 9 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 11 SE +/- 0.26, N = 12 4.21 3.72 3.49 6.57 3.54 8.68 9.32 4.60 3.82 4.61 3.74 3.30 4.95 6.80 MIN: 4.06 / MAX: 5.91 MIN: 3.58 / MAX: 5.16 MIN: 3.4 / MAX: 3.75 MIN: 5.73 / MAX: 18.41 MIN: 3.43 / MAX: 3.74 MIN: 6.7 / MAX: 15.99 MIN: 7.36 / MAX: 18.28 MIN: 4.38 / MAX: 6.31 MIN: 3.72 / MAX: 4.1 MIN: 4.45 / MAX: 4.81 MIN: 3.58 / MAX: 8.88 MIN: 3.2 / MAX: 3.51 MIN: 4.63 / MAX: 6.53 MIN: 5.67 / MAX: 11.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 4.19 / Avg: 4.21 / Max: 4.23 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 3.46 / Avg: 3.49 / Max: 3.51 Min: 5.85 / Avg: 6.57 / Max: 7.9 Min: 3.5 / Avg: 3.54 / Max: 3.58 Min: 6.85 / Avg: 8.68 / Max: 9.99 Min: 8.39 / Avg: 9.32 / Max: 10.48 Min: 4.49 / Avg: 4.6 / Max: 4.66 Min: 3.79 / Avg: 3.82 / Max: 3.83 Min: 4.55 / Avg: 4.61 / Max: 4.67 Min: 3.67 / Avg: 3.74 / Max: 3.82 Min: 3.26 / Avg: 3.3 / Max: 3.36 Min: 4.75 / Avg: 4.95 / Max: 5.37 Min: 5.79 / Avg: 6.8 / Max: 8.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 2.24, N = 3 SE +/- 0.04, N = 3 SE +/- 1.16, N = 9 SE +/- 0.85, N = 9 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.26, N = 11 SE +/- 0.75, N = 12 11.69 10.80 10.87 19.66 9.84 26.52 26.76 12.92 12.47 12.94 10.40 10.55 14.63 21.71 MIN: 11.36 / MAX: 14.13 MIN: 10.45 / MAX: 26 MIN: 10.68 / MAX: 11.57 MIN: 15.98 / MAX: 32.16 MIN: 9.58 / MAX: 10.75 MIN: 18.34 / MAX: 159.39 MIN: 19.65 / MAX: 171.03 MIN: 12.36 / MAX: 16.63 MIN: 12.02 / MAX: 14.07 MIN: 12.46 / MAX: 15.4 MIN: 9.83 / MAX: 20.38 MIN: 10.24 / MAX: 69.96 MIN: 13.29 / MAX: 20.58 MIN: 16.06 / MAX: 33.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 Min: 11.58 / Avg: 11.69 / Max: 11.76 Min: 10.65 / Avg: 10.8 / Max: 10.94 Min: 10.82 / Avg: 10.87 / Max: 10.92 Min: 17.26 / Avg: 19.66 / Max: 24.13 Min: 9.77 / Avg: 9.84 / Max: 9.88 Min: 20 / Avg: 26.52 / Max: 29.87 Min: 23.41 / Avg: 26.76 / Max: 31.76 Min: 12.84 / Avg: 12.92 / Max: 13.06 Min: 12.29 / Avg: 12.47 / Max: 12.8 Min: 12.72 / Avg: 12.94 / Max: 13.1 Min: 10.24 / Avg: 10.4 / Max: 10.57 Min: 10.38 / Avg: 10.55 / Max: 10.8 Min: 13.74 / Avg: 14.63 / Max: 16.32 Min: 18.48 / Avg: 21.71 / Max: 26.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.04, N = 2 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 2.35, N = 3 SE +/- 0.02, N = 3 SE +/- 1.14, N = 9 SE +/- 0.77, N = 9 SE +/- 0.05, N = 3 SE +/- 0.31, N = 3 SE +/- 0.37, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 11 SE +/- 0.94, N = 12 8.16 7.32 6.64 15.49 6.49 22.05 22.34 9.07 8.72 9.28 6.95 6.42 10.38 16.71 MIN: 7.75 / MAX: 9.91 MIN: 7.05 / MAX: 8.22 MIN: 6.54 / MAX: 7.23 MIN: 11.65 / MAX: 28.64 MIN: 6.37 / MAX: 6.92 MIN: 13.54 / MAX: 37.68 MIN: 14.54 / MAX: 162.38 MIN: 8.75 / MAX: 11.1 MIN: 8.12 / MAX: 10.61 MIN: 8.66 / MAX: 11.37 MIN: 6.71 / MAX: 14.84 MIN: 6.09 / MAX: 7.09 MIN: 9.3 / MAX: 16.29 MIN: 11.37 / MAX: 30.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 8.12 / Avg: 8.16 / Max: 8.19 Min: 7.22 / Avg: 7.32 / Max: 7.41 Min: 6.59 / Avg: 6.64 / Max: 6.7 Min: 12.98 / Avg: 15.49 / Max: 20.18 Min: 6.47 / Avg: 6.49 / Max: 6.52 Min: 14.87 / Avg: 22.05 / Max: 25.24 Min: 19.2 / Avg: 22.34 / Max: 26.98 Min: 8.98 / Avg: 9.07 / Max: 9.14 Min: 8.32 / Avg: 8.72 / Max: 9.32 Min: 8.87 / Avg: 9.28 / Max: 10.01 Min: 6.9 / Avg: 6.95 / Max: 7.02 Min: 6.18 / Avg: 6.42 / Max: 6.58 Min: 9.65 / Avg: 10.38 / Max: 12.34 Min: 12.43 / Avg: 16.71 / Max: 22.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.60, N = 3 SE +/- 0.03, N = 3 SE +/- 0.61, N = 9 SE +/- 0.35, N = 9 SE +/- 0.04, N = 3 SE +/- 0.36, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 11 SE +/- 0.42, N = 12 9.52 8.91 10.20 12.82 9.61 17.29 16.71 9.94 9.99 9.97 8.87 9.60 10.68 14.06 MIN: 9.28 / MAX: 10.99 MIN: 8.74 / MAX: 12.61 MIN: 10.07 / MAX: 10.8 MIN: 12.07 / MAX: 17.58 MIN: 9.51 / MAX: 13.18 MIN: 13.68 / MAX: 128.19 MIN: 14.39 / MAX: 153.63 MIN: 9.64 / MAX: 11.99 MIN: 9.5 / MAX: 11.56 MIN: 9.68 / MAX: 12.72 MIN: 8.52 / MAX: 34.05 MIN: 9.43 / MAX: 10.04 MIN: 10.17 / MAX: 154.31 MIN: 11.71 / MAX: 20.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 9.47 / Avg: 9.52 / Max: 9.55 Min: 8.84 / Avg: 8.91 / Max: 8.99 Min: 10.18 / Avg: 10.2 / Max: 10.21 Min: 12.17 / Avg: 12.82 / Max: 14.01 Min: 9.56 / Avg: 9.61 / Max: 9.65 Min: 13.79 / Avg: 17.29 / Max: 19.27 Min: 14.5 / Avg: 16.71 / Max: 17.77 Min: 9.85 / Avg: 9.94 / Max: 9.98 Min: 9.61 / Avg: 9.99 / Max: 10.71 Min: 9.83 / Avg: 9.97 / Max: 10.05 Min: 8.8 / Avg: 8.87 / Max: 8.94 Min: 9.56 / Avg: 9.6 / Max: 9.68 Min: 10.49 / Avg: 10.68 / Max: 11.36 Min: 12.14 / Avg: 14.06 / Max: 16.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 1.69, N = 3 SE +/- 0.01, N = 3 SE +/- 1.03, N = 9 SE +/- 0.75, N = 9 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.18, N = 11 SE +/- 0.60, N = 12 8.13 7.31 6.72 14.21 6.54 20.29 20.70 9.11 8.74 9.20 6.94 6.58 10.51 15.94 MIN: 7.77 / MAX: 9.9 MIN: 7.02 / MAX: 19.94 MIN: 6.58 / MAX: 8.56 MIN: 11.65 / MAX: 24.12 MIN: 6.36 / MAX: 10.78 MIN: 13.64 / MAX: 155.26 MIN: 14.71 / MAX: 286.24 MIN: 8.69 / MAX: 12.94 MIN: 8.27 / MAX: 12.35 MIN: 8.74 / MAX: 13.15 MIN: 6.68 / MAX: 16.72 MIN: 6.13 / MAX: 7.08 MIN: 9.5 / MAX: 16.4 MIN: 11.89 / MAX: 108.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 8.05 / Avg: 8.13 / Max: 8.19 Min: 7.21 / Avg: 7.31 / Max: 7.46 Min: 6.68 / Avg: 6.72 / Max: 6.76 Min: 12.47 / Avg: 14.21 / Max: 17.58 Min: 6.53 / Avg: 6.54 / Max: 6.55 Min: 14.9 / Avg: 20.29 / Max: 23.39 Min: 17.42 / Avg: 20.7 / Max: 24.59 Min: 8.97 / Avg: 9.11 / Max: 9.18 Min: 8.53 / Avg: 8.74 / Max: 9.13 Min: 8.99 / Avg: 9.2 / Max: 9.58 Min: 6.9 / Avg: 6.94 / Max: 6.96 Min: 6.55 / Avg: 6.58 / Max: 6.62 Min: 9.94 / Avg: 10.51 / Max: 11.53 Min: 13.25 / Avg: 15.94 / Max: 19.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 2.17, N = 3 SE +/- 0.01, N = 3 SE +/- 1.26, N = 9 SE +/- 0.94, N = 9 SE +/- 0.04, N = 3 SE +/- 0.27, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 11 SE +/- 1.02, N = 12 8.41 7.85 7.61 16.05 7.32 23.01 22.98 10.07 10.11 10.15 7.88 7.13 11.55 17.78 MIN: 7.96 / MAX: 10.39 MIN: 7.44 / MAX: 11.79 MIN: 7.45 / MAX: 8.18 MIN: 12.41 / MAX: 30.85 MIN: 7.06 / MAX: 11.87 MIN: 14.46 / MAX: 130.77 MIN: 15.37 / MAX: 193.31 MIN: 9.55 / MAX: 13.68 MIN: 9.12 / MAX: 13.81 MIN: 9.54 / MAX: 14.14 MIN: 7.53 / MAX: 17.78 MIN: 6.91 / MAX: 7.7 MIN: 10.24 / MAX: 25.89 MIN: 12.27 / MAX: 35.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 8.33 / Avg: 8.41 / Max: 8.48 Min: 7.8 / Avg: 7.85 / Max: 7.92 Min: 7.59 / Avg: 7.61 / Max: 7.64 Min: 13.72 / Avg: 16.05 / Max: 20.38 Min: 7.3 / Avg: 7.32 / Max: 7.34 Min: 16.68 / Avg: 23.01 / Max: 27.84 Min: 19.59 / Avg: 22.98 / Max: 29.47 Min: 10 / Avg: 10.07 / Max: 10.13 Min: 9.76 / Avg: 10.11 / Max: 10.65 Min: 9.86 / Avg: 10.15 / Max: 10.44 Min: 7.86 / Avg: 7.88 / Max: 7.9 Min: 7.08 / Avg: 7.13 / Max: 7.18 Min: 10.7 / Avg: 11.55 / Max: 13.04 Min: 12.86 / Avg: 17.78 / Max: 24.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Emily EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110 220 330 440 550 154.44 194.53 260.98 487.37 154.73 333.25 153.46 170.48 226.80 161.64 275.81 381.37 172.91 153.98
YafaRay YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 SE +/- 0.72, N = 15 SE +/- 1.05, N = 3 SE +/- 1.37, N = 3 SE +/- 0.97, N = 3 SE +/- 0.43, N = 14 SE +/- 0.80, N = 3 SE +/- 0.74, N = 3 SE +/- 0.38, N = 3 SE +/- 1.73, N = 3 SE +/- 0.43, N = 3 SE +/- 1.06, N = 3 SE +/- 0.41, N = 3 SE +/- 0.21, N = 3 SE +/- 0.60, N = 15 67.25 80.50 110.94 186.18 64.88 131.03 66.48 70.70 127.45 64.92 102.53 172.35 85.56 67.66 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 61.8 / Avg: 67.25 / Max: 71.05 Min: 79.1 / Avg: 80.5 / Max: 82.54 Min: 108.85 / Avg: 110.94 / Max: 113.51 Min: 184.7 / Avg: 186.18 / Max: 188.01 Min: 61.7 / Avg: 64.88 / Max: 67.09 Min: 129.53 / Avg: 131.03 / Max: 132.24 Min: 65.27 / Avg: 66.48 / Max: 67.84 Min: 69.95 / Avg: 70.7 / Max: 71.18 Min: 124 / Avg: 127.45 / Max: 129.28 Min: 64.15 / Avg: 64.92 / Max: 65.62 Min: 100.59 / Avg: 102.53 / Max: 104.24 Min: 171.56 / Avg: 172.35 / Max: 172.91 Min: 85.16 / Avg: 85.56 / Max: 85.86 Min: 64.7 / Avg: 67.66 / Max: 71.97 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.44, N = 3 SE +/- 0.29, N = 3 SE +/- 0.67, N = 3 SE +/- 0.00, N = 3 SE +/- 1.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.33, N = 3 SE +/- 0.53, N = 12 SE +/- 0.60, N = 3 SE +/- 0.58, N = 3 SE +/- 0.29, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 0.17, N = 3 74 72 69 59 79 70 79 64 69 69 77 59 79 80 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1845 0.369 0.5535 0.738 0.9225 0.57 0.61 0.66 0.68 0.67 0.76 0.55 0.58 0.39 0.60 0.82 0.46 0.55 0.58
Result Confidence
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 15 30 45 60 75 Min: 73.5 / Avg: 74.33 / Max: 75 Min: 71 / Avg: 71.5 / Max: 72 Min: 68 / Avg: 69.33 / Max: 70 Min: 58.5 / Avg: 58.5 / Max: 58.5 Min: 77 / Avg: 79 / Max: 80.5 Min: 69.5 / Avg: 69.83 / Max: 70 Min: 78.5 / Avg: 79.17 / Max: 79.5 Min: 61 / Avg: 64 / Max: 67.5 Min: 68 / Avg: 69.17 / Max: 70 Min: 68 / Avg: 69 / Max: 70 Min: 76.5 / Avg: 77 / Max: 77.5 Min: 58 / Avg: 59.33 / Max: 60 Min: 78.5 / Avg: 79.17 / Max: 80.5 Min: 80 / Avg: 80.17 / Max: 80.5 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 191.23 133.76 128.93 126.21 165.55 129.44 191.15 141.65 110.43 139.82 132.39 104.26 145.01 166.11 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 Min: 190.86 / Avg: 191.23 / Max: 191.42 Min: 133.6 / Avg: 133.76 / Max: 133.9 Min: 128.87 / Avg: 128.93 / Max: 129.01 Min: 126.1 / Avg: 126.21 / Max: 126.28 Min: 165.45 / Avg: 165.55 / Max: 165.66 Min: 129.26 / Avg: 129.44 / Max: 129.62 Min: 190.84 / Avg: 191.15 / Max: 191.38 Min: 141.6 / Avg: 141.65 / Max: 141.72 Min: 110.31 / Avg: 110.43 / Max: 110.57 Min: 139.74 / Avg: 139.82 / Max: 139.89 Min: 132.35 / Avg: 132.39 / Max: 132.48 Min: 104.21 / Avg: 104.26 / Max: 104.31 Min: 144.87 / Avg: 145.01 / Max: 145.14 Min: 165.99 / Avg: 166.11 / Max: 166.19 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.1228 2.2456 3.3684 4.4912 5.614 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 4.92 2.45 1.65 0.76 4.17 1.22 4.99 3.03 1.48 3.23 1.59 0.95 2.97 4.21 MIN: 4.88 / MAX: 4.95 MIN: 2.43 / MAX: 2.46 MIN: 1.63 MAX: 0.77 MIN: 4.12 / MAX: 4.18 MIN: 1.21 MIN: 4.95 / MAX: 5.03 MIN: 2.99 / MAX: 3.04 MIN: 1.47 / MAX: 1.49 MIN: 3.19 / MAX: 3.24 MIN: 1.58 / MAX: 1.6 MIN: 2.93 / MAX: 2.99 MIN: 4.1 / MAX: 4.24
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.009 0.018 0.027 0.036 0.045 0.03 0.02 0.02 0.01 0.03 0.01 0.04 0.02 0.01 0.02 0.02 0.01 0.02 0.03
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 4.9 / Avg: 4.92 / Max: 4.93 Min: 2.44 / Avg: 2.45 / Max: 2.45 Min: 1.65 / Avg: 1.65 / Max: 1.65 Min: 0.76 / Avg: 0.76 / Max: 0.76 Min: 4.17 / Avg: 4.17 / Max: 4.17 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 4.98 / Avg: 4.99 / Max: 5 Min: 3.03 / Avg: 3.03 / Max: 3.03 Min: 1.48 / Avg: 1.48 / Max: 1.48 Min: 3.23 / Avg: 3.23 / Max: 3.23 Min: 1.59 / Avg: 1.59 / Max: 1.59 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 4.2 / Avg: 4.21 / Max: 4.22
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 SE +/- 0.15, N = 3 SE +/- 0.46, N = 3 SE +/- 0.19, N = 3 SE +/- 0.67, N = 3 SE +/- 0.11, N = 3 SE +/- 0.37, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.87, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.26, N = 3 81.06 116.41 139.15 271.16 86.74 205.89 78.39 105.67 165.41 103.30 177.91 200.41 93.24 79.98 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 Min: 80.78 / Avg: 81.06 / Max: 81.29 Min: 115.76 / Avg: 116.41 / Max: 117.3 Min: 138.85 / Avg: 139.15 / Max: 139.52 Min: 270.41 / Avg: 271.16 / Max: 272.49 Min: 86.54 / Avg: 86.74 / Max: 86.91 Min: 205.17 / Avg: 205.89 / Max: 206.37 Min: 78.29 / Avg: 78.39 / Max: 78.44 Min: 105.35 / Avg: 105.67 / Max: 106.04 Min: 163.66 / Avg: 165.41 / Max: 166.3 Min: 102.87 / Avg: 103.3 / Max: 103.79 Min: 177.8 / Avg: 177.9 / Max: 178.09 Min: 200.15 / Avg: 200.41 / Max: 200.81 Min: 93.21 / Avg: 93.24 / Max: 93.28 Min: 79.56 / Avg: 79.98 / Max: 80.47 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.61, N = 14 SE +/- 0.25, N = 3 SE +/- 1.14, N = 3 SE +/- 0.41, N = 3 SE +/- 0.82, N = 15 SE +/- 0.53, N = 3 SE +/- 0.47, N = 3 SE +/- 0.26, N = 3 SE +/- 0.52, N = 3 SE +/- 0.28, N = 3 SE +/- 0.76, N = 10 SE +/- 0.11, N = 3 SE +/- 0.42, N = 3 SE +/- 0.47, N = 15 48.72 59.65 98.19 148.20 47.43 107.97 47.37 57.98 90.52 57.68 99.72 130.98 59.44 46.53 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 46.16 / Avg: 48.72 / Max: 52.95 Min: 59.34 / Avg: 59.65 / Max: 60.14 Min: 96.7 / Avg: 98.19 / Max: 100.44 Min: 147.55 / Avg: 148.2 / Max: 148.96 Min: 44.96 / Avg: 47.42 / Max: 54.58 Min: 106.91 / Avg: 107.97 / Max: 108.52 Min: 46.63 / Avg: 47.37 / Max: 48.23 Min: 57.58 / Avg: 57.98 / Max: 58.48 Min: 89.7 / Avg: 90.52 / Max: 91.49 Min: 57.12 / Avg: 57.68 / Max: 57.99 Min: 96.18 / Avg: 99.72 / Max: 103.91 Min: 130.76 / Avg: 130.98 / Max: 131.14 Min: 58.61 / Avg: 59.44 / Max: 59.95 Min: 44.25 / Avg: 46.53 / Max: 49.64 1. (CXX) g++ options: -O2 -lOpenCL
Minion Minion is an open-source constraint solver that is designed to be very scalable. This test profile uses Minion's integrated benchmarking problems to solve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Minion 1.8 Benchmark: Quasigroup EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.49, N = 3 SE +/- 0.44, N = 3 SE +/- 0.37, N = 3 SE +/- 0.50, N = 3 SE +/- 0.31, N = 3 SE +/- 0.38, N = 3 SE +/- 0.28, N = 3 SE +/- 0.46, N = 3 SE +/- 0.12, N = 3 SE +/- 0.55, N = 3 SE +/- 0.80, N = 3 SE +/- 0.39, N = 3 SE +/- 0.37, N = 3 SE +/- 0.18, N = 3 134.93 133.73 136.52 140.53 136.07 140.43 135.90 133.23 114.91 132.23 140.13 114.95 135.33 135.09 1. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Minion 1.8 Benchmark: Quasigroup EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 133.97 / Avg: 134.93 / Max: 135.63 Min: 133.03 / Avg: 133.73 / Max: 134.55 Min: 135.79 / Avg: 136.52 / Max: 136.95 Min: 139.78 / Avg: 140.53 / Max: 141.47 Min: 135.55 / Avg: 136.07 / Max: 136.63 Min: 139.94 / Avg: 140.43 / Max: 141.19 Min: 135.39 / Avg: 135.9 / Max: 136.37 Min: 132.34 / Avg: 133.23 / Max: 133.85 Min: 114.67 / Avg: 114.91 / Max: 115.06 Min: 131.17 / Avg: 132.23 / Max: 133 Min: 138.59 / Avg: 140.13 / Max: 141.26 Min: 114.45 / Avg: 114.95 / Max: 115.72 Min: 134.6 / Avg: 135.33 / Max: 135.75 Min: 134.86 / Avg: 135.09 / Max: 135.44 1. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
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 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 188.84 173.05 191.51 278.32 182.38 210.16 187.07 173.53 192.28 173.16 177.85 247.66 186.27 185.01
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.51, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 54.71 103.00 147.38 296.69 64.21 200.35 54.65 85.01 125.53 79.11 157.17 243.84 87.56 63.47 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 Min: 54.68 / Avg: 54.71 / Max: 54.75 Min: 102.75 / Avg: 103 / Max: 103.2 Min: 147.07 / Avg: 147.38 / Max: 147.56 Min: 296.63 / Avg: 296.69 / Max: 296.79 Min: 64.09 / Avg: 64.21 / Max: 64.3 Min: 199.81 / Avg: 200.35 / Max: 201.37 Min: 54.27 / Avg: 54.65 / Max: 54.89 Min: 84.8 / Avg: 85 / Max: 85.18 Min: 125.35 / Avg: 125.53 / Max: 125.64 Min: 79.03 / Avg: 79.11 / Max: 79.27 Min: 156.97 / Avg: 157.17 / Max: 157.56 Min: 243.81 / Avg: 243.84 / Max: 243.89 Min: 87.32 / Avg: 87.56 / Max: 87.75 Min: 63.31 / Avg: 63.47 / Max: 63.56 1. (CXX) g++ options: -O2 -lOpenCL
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 SE +/- 0.21, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 26.49 23.34 17.39 9.30 27.50 13.67 31.84 26.51 20.00 27.67 16.61 12.06 25.35 29.37
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.054 0.108 0.162 0.216 0.27 0.21 0.19 0.16 0.11 0.22 0.15 0.24 0.22 0.11 0.21 0.18 0.09 0.19 0.20
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 Min: 26.42 / Avg: 26.49 / Max: 26.59 Min: 23.11 / Avg: 23.34 / Max: 23.52 Min: 17.26 / Avg: 17.39 / Max: 17.46 Min: 9.23 / Avg: 9.3 / Max: 9.41 Min: 27.47 / Avg: 27.5 / Max: 27.53 Min: 13.44 / Avg: 13.67 / Max: 13.83 Min: 31.48 / Avg: 31.84 / Max: 32.35 Min: 26.11 / Avg: 26.51 / Max: 26.82 Min: 19.79 / Avg: 20 / Max: 20.19 Min: 27.53 / Avg: 27.67 / Max: 27.96 Min: 16.52 / Avg: 16.61 / Max: 16.72 Min: 11.98 / Avg: 12.06 / Max: 12.18 Min: 25.31 / Avg: 25.35 / Max: 25.42 Min: 29.23 / Avg: 29.37 / Max: 29.61
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 SE +/- 1.30, N = 3 SE +/- 0.17, N = 3 SE +/- 0.29, N = 3 SE +/- 0.60, N = 3 SE +/- 0.50, N = 3 SE +/- 0.29, N = 3 SE +/- 0.93, N = 3 SE +/- 0.88, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 0.17, N = 3 SE +/- 1.01, N = 3 240 280 277 243 264 259 243 277 248 285 267 262 271 263 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
Inferences Per Minute Per Watt
OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.7695 1.539 2.3085 3.078 3.8475 1.55 2.60 2.95 3.42 2.01 3.26 1.58 2.49 1.71 2.57 3.28 2.55 1.98 1.75
Result Confidence
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 Min: 238 / Avg: 240.33 / Max: 242.5 Min: 279.5 / Avg: 279.67 / Max: 280 Min: 276.5 / Avg: 277 / Max: 277.5 Min: 242.5 / Avg: 243.33 / Max: 244.5 Min: 263 / Avg: 263.5 / Max: 264.5 Min: 258.5 / Avg: 259 / Max: 259.5 Min: 242 / Avg: 243.17 / Max: 245 Min: 275.5 / Avg: 276.83 / Max: 278.5 Min: 284.5 / Avg: 285.17 / Max: 286.5 Min: 266.5 / Avg: 267.17 / Max: 267.5 Min: 260 / Avg: 262 / Max: 263 Min: 270.5 / Avg: 270.67 / Max: 271 Min: 261 / Avg: 262.83 / Max: 264.5 1. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60 120 180 240 300 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 45.80 89.07 129.26 262.14 54.34 176.04 45.84 73.38 109.17 67.95 137.78 214.44 75.27 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 Min: 45.79 / Avg: 45.8 / Max: 45.82 Min: 89.06 / Avg: 89.07 / Max: 89.08 Min: 129.21 / Avg: 129.26 / Max: 129.36 Min: 262.01 / Avg: 262.14 / Max: 262.39 Min: 54.32 / Avg: 54.34 / Max: 54.35 Min: 176.03 / Avg: 176.04 / Max: 176.05 Min: 45.83 / Avg: 45.84 / Max: 45.85 Min: 73.37 / Avg: 73.38 / Max: 73.4 Min: 108.86 / Avg: 109.17 / Max: 109.35 Min: 67.93 / Avg: 67.95 / Max: 67.96 Min: 137.74 / Avg: 137.78 / Max: 137.82 Min: 214.41 / Avg: 214.44 / Max: 214.47 Min: 75.26 / Avg: 75.27 / Max: 75.27 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Cache EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 12 24 36 48 60 SE +/- 0.81, N = 15 SE +/- 0.69, N = 12 SE +/- 0.68, N = 15 SE +/- 0.49, N = 13 SE +/- 0.96, N = 12 SE +/- 0.77, N = 12 SE +/- 0.36, N = 3 SE +/- 1.28, N = 12 SE +/- 1.23, N = 12 SE +/- 0.67, N = 3 SE +/- 0.37, N = 15 SE +/- 0.72, N = 15 SE +/- 1.06, N = 15 43.70 41.11 32.72 32.53 49.78 25.17 44.36 45.23 46.39 49.19 30.12 24.85 51.39 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: CPU Cache EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 0.1553 0.3106 0.4659 0.6212 0.7765 0.50 0.62 0.54 0.63 0.63 0.50 0.53 0.66 0.47 0.69 0.55 0.38 0.58
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Cache EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 10 20 30 40 50 Min: 38.22 / Avg: 43.7 / Max: 48.67 Min: 35.35 / Avg: 41.11 / Max: 44.78 Min: 28.49 / Avg: 32.72 / Max: 38.56 Min: 29.83 / Avg: 32.53 / Max: 36.16 Min: 45.03 / Avg: 49.78 / Max: 56.32 Min: 20.46 / Avg: 25.17 / Max: 29.16 Min: 43.65 / Avg: 44.36 / Max: 44.75 Min: 35.87 / Avg: 45.23 / Max: 51.94 Min: 38.66 / Avg: 46.39 / Max: 52.29 Min: 48.23 / Avg: 49.19 / Max: 50.47 Min: 28.09 / Avg: 30.12 / Max: 33.69 Min: 20.06 / Avg: 24.85 / Max: 30.63 Min: 45.08 / Avg: 51.39 / Max: 61.54 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5 Mode: CPU EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 10K 20K 30K 40K 50K SE +/- 50.21, N = 3 SE +/- 284.86, N = 11 SE +/- 140.41, N = 4 SE +/- 392.90, N = 8 SE +/- 469.86, N = 3 SE +/- 298.29, N = 3 SE +/- 165.84, N = 3 SE +/- 305.20, N = 6 SE +/- 120.35, N = 3 SE +/- 117.08, N = 4 SE +/- 144.16, N = 3 7864 37843 12198 44658 45292 28448 19521 30632 15246 10044 28401
vsamples Per Watt
OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5 Mode: CPU EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60 120 180 240 300 244.21 135.50 272.08 212.71 94.82 202.52 168.70 84.74 193.49
Result Confidence
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5 Mode: CPU EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 8K 16K 24K 32K 40K Min: 7769 / Avg: 7863.67 / Max: 7940 Min: 36221 / Avg: 37842.73 / Max: 38879 Min: 11788 / Avg: 12198.25 / Max: 12425 Min: 43124 / Avg: 44658.38 / Max: 46027 Min: 44695 / Avg: 45292 / Max: 46219 Min: 28095 / Avg: 28448 / Max: 29041 Min: 19190 / Avg: 19521 / Max: 19705 Min: 29652 / Avg: 30632 / Max: 31469 Min: 15016 / Avg: 15246.33 / Max: 15422 Min: 9719 / Avg: 10044.25 / Max: 10235 Min: 28141 / Avg: 28400.67 / Max: 28639
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.46, N = 3 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.22, N = 3 SE +/- 0.81, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 3 SE +/- 0.30, N = 3 SE +/- 0.14, N = 3 55.40 91.81 129.81 267.24 62.72 177.65 55.82 78.01 108.40 72.27 139.46 207.12 78.94 61.93
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 Min: 55.2 / Avg: 55.4 / Max: 55.58 Min: 90.99 / Avg: 91.81 / Max: 92.58 Min: 129.68 / Avg: 129.81 / Max: 129.95 Min: 267.03 / Avg: 267.24 / Max: 267.66 Min: 62.45 / Avg: 62.72 / Max: 63.15 Min: 176.74 / Avg: 177.65 / Max: 179.26 Min: 55.77 / Avg: 55.82 / Max: 55.85 Min: 77.95 / Avg: 78.01 / Max: 78.08 Min: 108.03 / Avg: 108.4 / Max: 108.72 Min: 72.03 / Avg: 72.27 / Max: 72.43 Min: 139.16 / Avg: 139.46 / Max: 139.93 Min: 207.06 / Avg: 207.12 / Max: 207.19 Min: 78.44 / Avg: 78.94 / Max: 79.47 Min: 61.67 / Avg: 61.93 / Max: 62.15
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.46, N = 3 SE +/- 0.65, N = 3 SE +/- 0.56, N = 3 SE +/- 1.23, N = 5 SE +/- 0.05, N = 3 SE +/- 0.54, N = 3 SE +/- 0.11, N = 3 SE +/- 0.50, N = 3 SE +/- 0.58, N = 3 SE +/- 0.18, N = 3 SE +/- 0.58, N = 3 SE +/- 0.07, N = 3 SE +/- 0.36, N = 3 SE +/- 0.98, N = 3 106.58 105.28 106.77 110.50 108.25 109.60 107.88 105.24 92.08 103.80 108.86 93.08 107.48 107.70 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 105.66 / Avg: 106.58 / Max: 107.16 Min: 104.57 / Avg: 105.28 / Max: 106.58 Min: 106.14 / Avg: 106.77 / Max: 107.88 Min: 108.22 / Avg: 110.5 / Max: 115.08 Min: 108.18 / Avg: 108.25 / Max: 108.34 Min: 108.57 / Avg: 109.6 / Max: 110.38 Min: 107.69 / Avg: 107.88 / Max: 108.06 Min: 104.53 / Avg: 105.24 / Max: 106.2 Min: 91.23 / Avg: 92.08 / Max: 93.18 Min: 103.43 / Avg: 103.8 / Max: 104 Min: 108.23 / Avg: 108.86 / Max: 110.01 Min: 92.93 / Avg: 93.08 / Max: 93.17 Min: 106.77 / Avg: 107.48 / Max: 107.96 Min: 105.86 / Avg: 107.7 / Max: 109.21 1. (CXX) g++ options: -O2 -lOpenCL
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K SE +/- 25.22, N = 14 SE +/- 36.49, N = 3 SE +/- 35.59, N = 3 SE +/- 28.32, N = 5 SE +/- 28.28, N = 5 SE +/- 37.27, N = 3 SE +/- 42.91, N = 3 SE +/- 31.02, N = 3 SE +/- 33.96, N = 3 SE +/- 71.90, N = 3 SE +/- 51.98, N = 3 SE +/- 12.37, N = 15 SE +/- 51.28, N = 3 10219.5 10256.3 10132.1 10057.8 10156.5 10070.2 10249.3 10184.5 10068.5 10292.5 10110.9 10561.9 10188.6 1. (CC) gcc options: -O3
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 139.63 201.08 197.87 234.32 166.46 231.30 144.64 197.68 134.54 201.45 228.69 183.94 142.36
Result Confidence
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K Min: 10124.1 / Avg: 10219.52 / Max: 10411.5 Min: 10188.2 / Avg: 10256.27 / Max: 10313.1 Min: 10093.6 / Avg: 10132.1 / Max: 10203.2 Min: 10025.8 / Avg: 10057.76 / Max: 10170.9 Min: 10088.8 / Avg: 10156.48 / Max: 10226.8 Min: 10010.8 / Avg: 10070.17 / Max: 10138.9 Min: 10163.9 / Avg: 10249.27 / Max: 10299.5 Min: 10134.8 / Avg: 10184.5 / Max: 10241.5 Min: 10031 / Avg: 10068.5 / Max: 10136.3 Min: 10179.5 / Avg: 10292.47 / Max: 10426 Min: 10010.1 / Avg: 10110.87 / Max: 10183.4 Min: 10508.8 / Avg: 10561.89 / Max: 10609.7 Min: 10089.5 / Avg: 10188.6 / Max: 10261 1. (CC) gcc options: -O3
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 12 24 36 48 60 SE +/- 0.30, N = 14 SE +/- 0.34, N = 3 SE +/- 0.42, N = 3 SE +/- 0.44, N = 5 SE +/- 0.48, N = 5 SE +/- 0.61, N = 3 SE +/- 0.42, N = 3 SE +/- 0.39, N = 3 SE +/- 0.42, N = 3 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 SE +/- 0.36, N = 15 SE +/- 0.02, N = 3 44.54 45.09 43.98 43.17 44.49 42.94 44.80 44.68 52.02 45.13 42.25 51.95 43.69 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 10 20 30 40 50 Min: 42.74 / Avg: 44.54 / Max: 46.27 Min: 44.42 / Avg: 45.09 / Max: 45.46 Min: 43.51 / Avg: 43.98 / Max: 44.82 Min: 42.2 / Avg: 43.17 / Max: 44.21 Min: 43.45 / Avg: 44.49 / Max: 45.67 Min: 42.28 / Avg: 42.94 / Max: 44.16 Min: 44.34 / Avg: 44.8 / Max: 45.63 Min: 44.24 / Avg: 44.68 / Max: 45.45 Min: 51.53 / Avg: 52.02 / Max: 52.86 Min: 44.77 / Avg: 45.13 / Max: 45.69 Min: 42.11 / Avg: 42.25 / Max: 42.52 Min: 49.68 / Avg: 51.95 / Max: 54.03 Min: 43.65 / Avg: 43.69 / Max: 43.71 1. (CC) gcc options: -O3
C-Blosc A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K SE +/- 20.77, N = 3 SE +/- 4.79, N = 3 SE +/- 5.79, N = 3 SE +/- 13.17, N = 3 SE +/- 22.60, N = 3 SE +/- 6.54, N = 3 SE +/- 18.47, N = 3 SE +/- 6.00, N = 3 SE +/- 27.57, N = 3 SE +/- 0.44, N = 3 SE +/- 21.69, N = 3 SE +/- 15.51, N = 3 SE +/- 8.53, N = 3 SE +/- 9.12, N = 3 8372.7 10178.3 10476.8 9386.8 9155.0 9442.9 8328.2 9808.0 10910.1 9878.0 9400.7 11206.8 10253.3 9301.0 1. (CXX) g++ options: -rdynamic
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 77.37 145.89 160.12 182.90 104.37 173.90 83.21 135.67 109.47 138.76 165.18 165.32 106.55 93.88
Result Confidence
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K Min: 8331.9 / Avg: 8372.7 / Max: 8399.9 Min: 10170 / Avg: 10178.27 / Max: 10186.6 Min: 10468.4 / Avg: 10476.8 / Max: 10487.9 Min: 9360.9 / Avg: 9386.83 / Max: 9403.8 Min: 9132 / Avg: 9155 / Max: 9200.2 Min: 9434.1 / Avg: 9442.93 / Max: 9455.7 Min: 8294.6 / Avg: 8328.2 / Max: 8358.3 Min: 9796 / Avg: 9808 / Max: 9814.1 Min: 10869.2 / Avg: 10910.13 / Max: 10962.6 Min: 9877.3 / Avg: 9878 / Max: 9878.8 Min: 9370.8 / Avg: 9400.73 / Max: 9442.9 Min: 11190.3 / Avg: 11206.8 / Max: 11237.8 Min: 10242.8 / Avg: 10253.3 / Max: 10270.2 Min: 9282.8 / Avg: 9301 / Max: 9311.2 1. (CXX) g++ options: -rdynamic
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K SE +/- 1138.19, N = 3 SE +/- 9904.69, N = 4 SE +/- 6451.00, N = 3 SE +/- 6504.38, N = 3 SE +/- 6981.82, N = 3 SE +/- 198.51, N = 3 SE +/- 1119.16, N = 3 SE +/- 6414.70, N = 3 SE +/- 7660.92, N = 6 SE +/- 7271.02, N = 3 SE +/- 3857.18, N = 3 SE +/- 3955.87, N = 3 SE +/- 4243.12, N = 3 SE +/- 1276.30, N = 3 451003 838224 756268 611302 536242 705855 447191 881986 756676 885722 775796 624502 825374 527541 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K 2844.47 5925.99 7541.24 10036.15 3850.07 9067.03 2634.77 6049.54 4243.87 5622.62 8813.61 6995.00 4999.98 3278.22
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 150K 300K 450K 600K 750K Min: 449363 / Avg: 451002.67 / Max: 453190 Min: 809652 / Avg: 838224 / Max: 852941 Min: 749121 / Avg: 756268 / Max: 769144 Min: 598299 / Avg: 611302 / Max: 618139 Min: 528910 / Avg: 536242.33 / Max: 550200 Min: 705589 / Avg: 705854.67 / Max: 706243 Min: 445589 / Avg: 447191.33 / Max: 449346 Min: 872797 / Avg: 881986 / Max: 894334 Min: 736622 / Avg: 756676 / Max: 785060 Min: 875249 / Avg: 885722.33 / Max: 899696 Min: 771919 / Avg: 775795.67 / Max: 783510 Min: 617818 / Avg: 624501.67 / Max: 631510 Min: 820254 / Avg: 825374 / Max: 833795 Min: 525500 / Avg: 527540.67 / Max: 529889 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Apache Cassandra This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50K 100K 150K 200K 250K SE +/- 1230.73, N = 3 SE +/- 2693.44, N = 3 SE +/- 1793.27, N = 3 SE +/- 244.34, N = 3 SE +/- 1126.54, N = 3 SE +/- 388.59, N = 3 SE +/- 2776.27, N = 3 SE +/- 2790.65, N = 3 SE +/- 1803.14, N = 3 SE +/- 2207.46, N = 15 SE +/- 936.51, N = 3 SE +/- 224.51, N = 3 SE +/- 2221.55, N = 3 SE +/- 1690.31, N = 3 227564 200705 135260 51734 230871 93155 219380 233730 144123 236524 136442 58118 211361 215576
Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400 800 1200 1600 2000 1563.40 1745.18 1456.94 837.71 1765.84 1222.04 1537.85 1934.28 945.02 2007.98 1607.35 654.20 1502.63 1507.25
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40K 80K 120K 160K 200K Min: 225103 / Avg: 227564.33 / Max: 228816 Min: 197409 / Avg: 200705 / Max: 206043 Min: 131775 / Avg: 135259.67 / Max: 137737 Min: 51248 / Avg: 51734.33 / Max: 52019 Min: 229505 / Avg: 230871.33 / Max: 233106 Min: 92380 / Avg: 93154.67 / Max: 93596 Min: 214454 / Avg: 219380 / Max: 224062 Min: 228668 / Avg: 233730 / Max: 238297 Min: 141196 / Avg: 144123.33 / Max: 147411 Min: 227162 / Avg: 236524.33 / Max: 255532 Min: 134572 / Avg: 136442 / Max: 137469 Min: 57842 / Avg: 58118.33 / Max: 58563 Min: 208632 / Avg: 211361 / Max: 215762 Min: 212562 / Avg: 215576 / Max: 218409
Cpuminer-Opt Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Garlicoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K SE +/- 215.48, N = 14 SE +/- 8.85, N = 3 SE +/- 6.92, N = 3 SE +/- 24.63, N = 15 SE +/- 49.30, N = 3 SE +/- 22.88, N = 15 SE +/- 72.85, N = 13 SE +/- 179.55, N = 12 SE +/- 3.02, N = 3 SE +/- 157.39, N = 15 SE +/- 46.80, N = 15 SE +/- 8.24, N = 3 SE +/- 135.96, N = 15 SE +/- 113.98, N = 14 9581.06 4490.86 2965.29 1473.31 7811.99 2192.82 9507.95 6104.27 3522.44 6242.21 2991.73 1769.46 5725.79 7961.64 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Garlicoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 101.85 62.91 45.58 31.40 97.57 41.66 105.24 86.48 33.55 89.06 52.46 27.22 63.17 88.03
Result Confidence
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Garlicoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1700 3400 5100 6800 8500 Min: 9331.1 / Avg: 9581.06 / Max: 12370 Min: 4477.91 / Avg: 4490.86 / Max: 4507.79 Min: 2956.9 / Avg: 2965.29 / Max: 2979.02 Min: 1428.33 / Avg: 1473.31 / Max: 1776.69 Min: 7760.8 / Avg: 7811.99 / Max: 7910.57 Min: 2113.61 / Avg: 2192.82 / Max: 2419.18 Min: 9387.02 / Avg: 9507.95 / Max: 10330 Min: 5581 / Avg: 6104.27 / Max: 7538.77 Min: 3516.78 / Avg: 3522.44 / Max: 3527.08 Min: 5942.72 / Avg: 6242.21 / Max: 7690.85 Min: 2871.77 / Avg: 2991.73 / Max: 3335.77 Min: 1758.86 / Avg: 1769.46 / Max: 1785.69 Min: 5501.12 / Avg: 5725.79 / Max: 7108.86 Min: 7778.26 / Avg: 7961.64 / Max: 9440.93 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 SE +/- 0.28, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 SE +/- 0.46, N = 4 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 SE +/- 0.37, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.45, N = 3 31.89 27.81 21.24 11.41 32.68 16.79 37.38 32.05 24.29 33.33 20.34 14.67 30.36 35.25
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.063 0.126 0.189 0.252 0.315 0.26 0.23 0.20 0.14 0.27 0.19 0.28 0.28 0.13 0.27 0.23 0.11 0.23 0.25
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 31.34 / Avg: 31.89 / Max: 32.28 Min: 27.57 / Avg: 27.81 / Max: 27.96 Min: 21.13 / Avg: 21.24 / Max: 21.44 Min: 11.13 / Avg: 11.41 / Max: 11.63 Min: 32.38 / Avg: 32.68 / Max: 32.94 Min: 16.5 / Avg: 16.79 / Max: 17.22 Min: 36.33 / Avg: 37.38 / Max: 38.57 Min: 31.69 / Avg: 32.05 / Max: 32.3 Min: 24.18 / Avg: 24.29 / Max: 24.46 Min: 32.65 / Avg: 33.33 / Max: 33.94 Min: 20.24 / Avg: 20.34 / Max: 20.43 Min: 14.6 / Avg: 14.67 / Max: 14.82 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 34.41 / Avg: 35.25 / Max: 35.93
Cpuminer-Opt Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Deepcoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10K 20K 30K 40K 50K SE +/- 2134.76, N = 15 SE +/- 94.04, N = 3 SE +/- 14.53, N = 3 SE +/- 0.23, N = 3 SE +/- 964.94, N = 15 SE +/- 78.72, N = 3 SE +/- 1295.28, N = 15 SE +/- 1900.37, N = 15 SE +/- 333.56, N = 15 SE +/- 991.42, N = 15 SE +/- 407.34, N = 15 SE +/- 73.09, N = 6 SE +/- 38.44, N = 3 SE +/- 1521.20, N = 15 46113.00 19363.00 12697.00 6207.89 33589.00 9361.06 45051.00 26546.00 15338.00 26493.00 12793.00 7644.10 23013.00 34363.00 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Deepcoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 120 240 360 480 600 562.57 318.51 224.80 140.99 474.77 201.02 565.67 441.39 175.98 438.65 255.88 128.88 286.60 432.56
Result Confidence
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Deepcoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8K 16K 24K 32K 40K Min: 42730 / Avg: 46112.67 / Max: 75810 Min: 19250 / Avg: 19363.33 / Max: 19550 Min: 12670 / Avg: 12696.67 / Max: 12720 Min: 6207.47 / Avg: 6207.89 / Max: 6208.24 Min: 32160 / Avg: 33588.67 / Max: 46960 Min: 9269.8 / Avg: 9361.06 / Max: 9517.79 Min: 42590 / Avg: 45050.67 / Max: 63100 Min: 23580 / Avg: 26546 / Max: 44860 Min: 14690 / Avg: 15338 / Max: 19990 Min: 25310 / Avg: 26492.67 / Max: 40340 Min: 12330 / Avg: 12793.33 / Max: 18480 Min: 7535.18 / Avg: 7644.1 / Max: 7997.88 Min: 22940 / Avg: 23013.33 / Max: 23070 Min: 32480 / Avg: 34363.33 / Max: 55610 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 10-bit EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 SE +/- 0.31, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.56, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.16, N = 3 SE +/- 0.38, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.28, N = 3 185.31 135.69 116.68 94.36 178.70 107.25 190.19 152.15 129.77 152.78 114.49 109.55 146.29 179.72 MIN: 125.96 / MAX: 294.64 MIN: 85.88 / MAX: 272.31 MIN: 74.3 / MAX: 261.93 MIN: 60.14 / MAX: 225.56 MIN: 121.07 / MAX: 277.42 MIN: 67.93 / MAX: 243.83 MIN: 126.93 / MAX: 307.7 MIN: 97.46 / MAX: 272.72 MIN: 84.35 / MAX: 268.95 MIN: 98.52 / MAX: 278.09 MIN: 72.02 / MAX: 259.87 MIN: 70.77 / MAX: 249.84 MIN: 94.75 / MAX: 256.37 MIN: 121.84 / MAX: 276.81 1. (CC) gcc options: -pthread
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 10-bit EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.5828 1.1656 1.7484 2.3312 2.914 2.22 2.26 2.00 1.95 2.59 2.15 2.37 2.53 1.47 2.58 2.29 1.62 1.84 2.34
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 10-bit EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 184.71 / Avg: 185.31 / Max: 185.73 Min: 135.36 / Avg: 135.69 / Max: 136.06 Min: 116.54 / Avg: 116.68 / Max: 116.86 Min: 94.18 / Avg: 94.36 / Max: 94.61 Min: 178.47 / Avg: 178.7 / Max: 178.84 Min: 106.92 / Avg: 107.25 / Max: 107.46 Min: 189.1 / Avg: 190.19 / Max: 190.97 Min: 152.02 / Avg: 152.15 / Max: 152.28 Min: 129.43 / Avg: 129.77 / Max: 129.97 Min: 152.47 / Avg: 152.78 / Max: 153.01 Min: 113.88 / Avg: 114.49 / Max: 115.2 Min: 109.41 / Avg: 109.55 / Max: 109.8 Min: 146.03 / Avg: 146.29 / Max: 146.46 Min: 179.44 / Avg: 179.72 / Max: 180.27 1. (CC) gcc options: -pthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.58, N = 3 SE +/- 0.45, N = 3 SE +/- 1.44, N = 3 SE +/- 1.10, N = 3 SE +/- 0.64, N = 3 SE +/- 0.45, N = 3 SE +/- 0.60, N = 3 SE +/- 0.59, N = 3 SE +/- 0.80, N = 3 SE +/- 1.07, N = 3 SE +/- 0.92, N = 7 SE +/- 0.65, N = 3 SE +/- 0.18, N = 3 84.83 85.76 88.32 141.25 86.06 101.59 84.79 85.73 75.23 83.83 96.85 98.52 86.70 85.03
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 84.74 / Avg: 84.83 / Max: 84.9 Min: 84.6 / Avg: 85.76 / Max: 86.43 Min: 87.53 / Avg: 88.32 / Max: 89.11 Min: 138.42 / Avg: 141.25 / Max: 143.09 Min: 83.86 / Avg: 86.06 / Max: 87.25 Min: 100.3 / Avg: 101.59 / Max: 102.33 Min: 84.12 / Avg: 84.79 / Max: 85.64 Min: 85.04 / Avg: 85.73 / Max: 86.93 Min: 74.45 / Avg: 75.23 / Max: 76.39 Min: 82.24 / Avg: 83.83 / Max: 84.72 Min: 94.95 / Avg: 96.85 / Max: 98.65 Min: 95.01 / Avg: 98.52 / Max: 100.63 Min: 85.78 / Avg: 86.7 / Max: 87.96 Min: 84.8 / Avg: 85.03 / Max: 85.39
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50K 100K 150K 200K 250K SE +/- 718.53, N = 15 SE +/- 414.30, N = 3 SE +/- 652.17, N = 3 SE +/- 42.10, N = 3 SE +/- 275.99, N = 3 SE +/- 219.52, N = 3 SE +/- 833.99, N = 6 SE +/- 797.17, N = 15 SE +/- 244.85, N = 3 SE +/- 115.93, N = 3 SE +/- 183.23, N = 3 SE +/- 54.60, N = 3 SE +/- 115.78, N = 3 SE +/- 34.51, N = 3 95873.7 105046.0 144445.0 212253.0 92153.2 177540.0 88093.7 85462.8 126743.0 79313.6 151235.0 177928.0 84263.5 86140.6
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40K 80K 120K 160K 200K Min: 91993.6 / Avg: 95873.69 / Max: 100262 Min: 104457 / Avg: 105045.67 / Max: 105845 Min: 143270 / Avg: 144444.67 / Max: 145523 Min: 212188 / Avg: 212253.33 / Max: 212332 Min: 91707.3 / Avg: 92153.17 / Max: 92657.9 Min: 177299 / Avg: 177539.67 / Max: 177978 Min: 85520.1 / Avg: 88093.72 / Max: 91636.7 Min: 82675.3 / Avg: 85462.75 / Max: 91289.3 Min: 126253 / Avg: 126742.67 / Max: 126993 Min: 79189.4 / Avg: 79313.63 / Max: 79545.3 Min: 150900 / Avg: 151235.33 / Max: 151531 Min: 177860 / Avg: 177928 / Max: 178036 Min: 84034.6 / Avg: 84263.47 / Max: 84408.4 Min: 86071.8 / Avg: 86140.57 / Max: 86180.1
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Bonds OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K SE +/- 232.73, N = 3 SE +/- 397.99, N = 3 SE +/- 461.99, N = 3 SE +/- 200.17, N = 3 SE +/- 75.52, N = 3 SE +/- 203.38, N = 3 SE +/- 966.88, N = 3 SE +/- 294.03, N = 3 SE +/- 395.61, N = 3 SE +/- 26.41, N = 3 SE +/- 402.31, N = 3 SE +/- 185.79, N = 3 SE +/- 287.97, N = 3 88553.78 88634.31 89863.26 92426.49 90310.90 92387.25 90672.45 88487.57 76410.11 86946.61 92896.62 76027.98 90157.28 1. (CXX) g++ options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Bonds OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 16K 32K 48K 64K 80K Min: 88306.55 / Avg: 88553.78 / Max: 89018.95 Min: 88093.03 / Avg: 88634.31 / Max: 89410.36 Min: 89400.2 / Avg: 89863.26 / Max: 90787.24 Min: 92207.57 / Avg: 92426.49 / Max: 92826.23 Min: 90159.87 / Avg: 90310.9 / Max: 90387.48 Min: 92154.74 / Avg: 92387.25 / Max: 92792.54 Min: 89694.92 / Avg: 90672.45 / Max: 92606.17 Min: 88176.03 / Avg: 88487.57 / Max: 89075.27 Min: 75619.2 / Avg: 76410.11 / Max: 76824.91 Min: 86896.07 / Avg: 86946.61 / Max: 86985.19 Min: 92266.52 / Avg: 92896.62 / Max: 93645.02 Min: 75656.88 / Avg: 76027.98 / Max: 76230.05 Min: 89581.38 / Avg: 90157.28 / Max: 90451.57 1. (CXX) g++ options: -O3 -march=native -fopenmp
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
Timed Eigen Compilation This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 96.09 94.84 97.20 103.98 97.22 99.84 97.55 95.81 83.02 94.97 99.92 83.50 97.37 97.99
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 96 / Avg: 96.09 / Max: 96.18 Min: 94.73 / Avg: 94.83 / Max: 94.91 Min: 97.15 / Avg: 97.2 / Max: 97.27 Min: 103.94 / Avg: 103.98 / Max: 104.04 Min: 97.2 / Avg: 97.22 / Max: 97.24 Min: 99.78 / Avg: 99.84 / Max: 99.91 Min: 97.52 / Avg: 97.55 / Max: 97.6 Min: 95.78 / Avg: 95.81 / Max: 95.83 Min: 82.99 / Avg: 83.02 / Max: 83.06 Min: 94.92 / Avg: 94.97 / Max: 95.02 Min: 99.9 / Avg: 99.92 / Max: 99.96 Min: 83.48 / Avg: 83.5 / Max: 83.55 Min: 97.37 / Avg: 97.37 / Max: 97.38 Min: 97.94 / Avg: 97.99 / Max: 98.06
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13K 26K 39K 52K 65K SE +/- 487.40, N = 3 SE +/- 87.62, N = 3 SE +/- 114.11, N = 3 SE +/- 44.44, N = 3 SE +/- 328.54, N = 3 SE +/- 80.88, N = 3 SE +/- 467.21, N = 3 SE +/- 264.62, N = 15 SE +/- 71.92, N = 3 SE +/- 391.02, N = 6 SE +/- 122.98, N = 3 SE +/- 31.21, N = 3 SE +/- 397.54, N = 5 SE +/- 179.29, N = 3 62754 33184 23486 11136 53570 17550 62295 37085 27132 38904 22022 14204 36223 54445
Ksamples Per Watt
OpenBenchmarking.org Ksamples Per Watt, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 353.18 235.77 202.24 152.41 328.86 185.79 364.02 275.92 127.66 257.36 233.63 124.47 243.18 306.53
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 11K 22K 33K 44K 55K Min: 62183 / Avg: 62754.33 / Max: 63724 Min: 33018 / Avg: 33183.67 / Max: 33316 Min: 23305 / Avg: 23486.33 / Max: 23697 Min: 11048 / Avg: 11136.33 / Max: 11189 Min: 53078 / Avg: 53569.67 / Max: 54193 Min: 17397 / Avg: 17550 / Max: 17672 Min: 61378 / Avg: 62294.67 / Max: 62910 Min: 35376 / Avg: 37084.67 / Max: 38925 Min: 27010 / Avg: 27132 / Max: 27259 Min: 37112 / Avg: 38903.83 / Max: 39603 Min: 21875 / Avg: 22021.67 / Max: 22266 Min: 14151 / Avg: 14203.67 / Max: 14259 Min: 35373 / Avg: 36223.2 / Max: 37595 Min: 54235 / Avg: 54445.33 / Max: 54802
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.25, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 1.17, N = 4 SE +/- 0.05, N = 3 SE +/- 1.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.24, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 SE +/- 0.34, N = 3 SE +/- 0.17, N = 3 115.27 86.00 85.93 88.67 104.52 87.60 116.15 94.26 72.43 86.72 89.20 72.89 96.81 102.45 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 114.96 / Avg: 115.27 / Max: 115.77 Min: 85.64 / Avg: 86 / Max: 86.58 Min: 85.7 / Avg: 85.93 / Max: 86.35 Min: 88.6 / Avg: 88.67 / Max: 88.81 Min: 103.18 / Avg: 104.52 / Max: 108.01 Min: 87.51 / Avg: 87.6 / Max: 87.67 Min: 115.11 / Avg: 116.15 / Max: 118.18 Min: 93.87 / Avg: 94.26 / Max: 94.59 Min: 72.17 / Avg: 72.43 / Max: 72.9 Min: 86.61 / Avg: 86.72 / Max: 86.86 Min: 88.88 / Avg: 89.2 / Max: 89.39 Min: 72.56 / Avg: 72.89 / Max: 73.16 Min: 96.44 / Avg: 96.81 / Max: 97.49 Min: 102.2 / Avg: 102.45 / Max: 102.77 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 9.06, N = 3 SE +/- 1.11, N = 3 SE +/- 3.28, N = 3 SE +/- 0.03, N = 3 SE +/- 6.05, N = 3 SE +/- 7.84, N = 3 SE +/- 9.36, N = 3 SE +/- 4.32, N = 3 SE +/- 0.05, N = 3 SE +/- 5.63, N = 3 SE +/- 1.25, N = 3 SE +/- 0.03, N = 3 SE +/- 1.11, N = 3 SE +/- 8.46, N = 3 3989.79 1813.29 1190.48 579.18 3292.84 860.01 4019.09 2380.27 1410.59 2389.76 1156.26 705.21 2333.54 3322.99 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 23.49 14.01 12.24 9.24 20.64 11.07 24.18 16.63 8.30 17.20 13.47 7.56 14.32 18.05
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700 1400 2100 2800 3500 Min: 3972.06 / Avg: 3989.79 / Max: 4001.86 Min: 1811.43 / Avg: 1813.29 / Max: 1815.27 Min: 1183.95 / Avg: 1190.48 / Max: 1194.25 Min: 579.13 / Avg: 579.18 / Max: 579.23 Min: 3282.03 / Avg: 3292.84 / Max: 3302.95 Min: 844.33 / Avg: 860.01 / Max: 868.26 Min: 4001.46 / Avg: 4019.09 / Max: 4033.33 Min: 2371.63 / Avg: 2380.27 / Max: 2384.67 Min: 1410.49 / Avg: 1410.59 / Max: 1410.66 Min: 2378.57 / Avg: 2389.76 / Max: 2396.35 Min: 1153.76 / Avg: 1156.26 / Max: 1157.7 Min: 705.16 / Avg: 705.21 / Max: 705.27 Min: 2331.32 / Avg: 2333.54 / Max: 2334.74 Min: 3306.1 / Avg: 3322.99 / Max: 3332.1 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
MBW This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K SE +/- 18.50, N = 3 SE +/- 18.97, N = 3 SE +/- 19.18, N = 3 SE +/- 7.74, N = 3 SE +/- 10.51, N = 3 SE +/- 6.09, N = 3 SE +/- 4.98, N = 3 SE +/- 16.71, N = 3 SE +/- 3.26, N = 3 SE +/- 2.76, N = 3 SE +/- 16.74, N = 3 SE +/- 5.81, N = 3 SE +/- 27.37, N = 3 9048.74 9012.11 8995.85 8983.76 9022.45 8970.77 9073.57 9078.88 8872.56 9117.75 8945.24 9215.24 8963.64 1. (CC) gcc options: -O3 -march=native
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 40 80 120 160 200 111.88 159.14 154.41 185.90 134.77 183.37 117.41 158.03 108.64 160.00 179.48 149.02 112.76
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1600 3200 4800 6400 8000 Min: 9023.71 / Avg: 9048.74 / Max: 9084.85 Min: 8974.68 / Avg: 9012.11 / Max: 9036.23 Min: 8971.17 / Avg: 8995.85 / Max: 9033.63 Min: 8971.61 / Avg: 8983.76 / Max: 8998.15 Min: 9010.61 / Avg: 9022.45 / Max: 9043.42 Min: 8960.57 / Avg: 8970.77 / Max: 8981.63 Min: 9065.01 / Avg: 9073.56 / Max: 9082.25 Min: 9045.61 / Avg: 9078.88 / Max: 9098.27 Min: 8866.67 / Avg: 8872.56 / Max: 8877.91 Min: 9112.63 / Avg: 9117.75 / Max: 9122.1 Min: 8912.98 / Avg: 8945.24 / Max: 8969.13 Min: 9203.97 / Avg: 9215.24 / Max: 9223.37 Min: 8910.42 / Avg: 8963.64 / Max: 9001.37 1. (CC) gcc options: -O3 -march=native
Apache CouchDB This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.55, N = 3 SE +/- 0.52, N = 3 SE +/- 0.51, N = 3 SE +/- 0.41, N = 3 SE +/- 0.35, N = 3 SE +/- 1.02, N = 4 SE +/- 0.34, N = 3 SE +/- 1.14, N = 3 SE +/- 0.45, N = 3 SE +/- 0.45, N = 3 SE +/- 0.89, N = 3 SE +/- 0.48, N = 3 SE +/- 0.64, N = 3 SE +/- 0.03, N = 3 97.95 86.68 89.43 107.01 92.59 92.35 97.30 86.23 83.28 86.57 87.94 93.79 91.32 91.51 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 96.92 / Avg: 97.95 / Max: 98.78 Min: 85.65 / Avg: 86.68 / Max: 87.25 Min: 88.41 / Avg: 89.43 / Max: 89.96 Min: 106.25 / Avg: 107.01 / Max: 107.66 Min: 91.9 / Avg: 92.59 / Max: 93.05 Min: 90.47 / Avg: 92.35 / Max: 94.9 Min: 96.62 / Avg: 97.29 / Max: 97.72 Min: 84.36 / Avg: 86.23 / Max: 88.29 Min: 82.43 / Avg: 83.28 / Max: 83.97 Min: 86.01 / Avg: 86.57 / Max: 87.47 Min: 86.34 / Avg: 87.94 / Max: 89.41 Min: 92.83 / Avg: 93.79 / Max: 94.31 Min: 90.24 / Avg: 91.31 / Max: 92.46 Min: 91.47 / Avg: 91.51 / Max: 91.55 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
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.
Result
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 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.28, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.14, N = 3 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 94.76 93.92 95.45 98.41 95.53 98.31 95.56 93.86 80.94 92.77 98.24 80.85 95.48 95.39 1. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
Result Confidence
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 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 94.65 / Avg: 94.76 / Max: 94.97 Min: 93.8 / Avg: 93.92 / Max: 94.11 Min: 95.27 / Avg: 95.45 / Max: 95.58 Min: 98.12 / Avg: 98.41 / Max: 98.67 Min: 95.11 / Avg: 95.53 / Max: 96.06 Min: 98.25 / Avg: 98.31 / Max: 98.39 Min: 95.43 / Avg: 95.56 / Max: 95.8 Min: 93.53 / Avg: 93.86 / Max: 94.1 Min: 80.67 / Avg: 80.94 / Max: 81.13 Min: 92.29 / Avg: 92.77 / Max: 93.36 Min: 98.08 / Avg: 98.24 / Max: 98.48 Min: 80.76 / Avg: 80.85 / Max: 80.91 Min: 95.35 / Avg: 95.48 / Max: 95.62 Min: 95.12 / Avg: 95.39 / Max: 95.75 1. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 86.37 86.97 92.26 114.83 86.95 99.22 87.02 85.96 82.92 84.83 94.48 94.01 88.42 87.21
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 86.23 / Avg: 86.37 / Max: 86.48 Min: 86.94 / Avg: 86.97 / Max: 87.03 Min: 92.07 / Avg: 92.26 / Max: 92.37 Min: 114.63 / Avg: 114.83 / Max: 115 Min: 86.95 / Avg: 86.95 / Max: 86.96 Min: 99.11 / Avg: 99.22 / Max: 99.3 Min: 86.98 / Avg: 87.02 / Max: 87.09 Min: 85.93 / Avg: 85.96 / Max: 86.02 Min: 82.8 / Avg: 82.92 / Max: 83.07 Min: 84.74 / Avg: 84.83 / Max: 84.97 Min: 94.41 / Avg: 94.48 / Max: 94.59 Min: 93.84 / Avg: 94.01 / Max: 94.13 Min: 88.21 / Avg: 88.42 / Max: 88.6 Min: 87.2 / Avg: 87.21 / Max: 87.22
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K SE +/- 1936.89, N = 3 SE +/- 607.09, N = 3 SE +/- 842.53, N = 3 SE +/- 1045.78, N = 3 SE +/- 2507.53, N = 3 SE +/- 1165.03, N = 3 SE +/- 2041.67, N = 3 SE +/- 1998.87, N = 3 SE +/- 771.81, N = 3 SE +/- 577.19, N = 3 SE +/- 1258.02, N = 3 SE +/- 2229.96, N = 3 SE +/- 2350.83, N = 3 SE +/- 472.72, N = 3 1212918.2 1248284.1 1188387.2 1041996.8 1208480.8 1143360.5 1209698.0 1262530.4 1247037.6 1162690.9 1172021.1 1155871.8 1197778.9 1215056.1
val/sec Per Watt
OpenBenchmarking.org val/sec Per Watt, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K 12097.16 17298.69 17671.85 19005.43 14523.73 19247.10 12804.70 17421.85 11716.29 16668.21 19191.04 15038.78 12972.75 12867.29
Result Confidence
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K Min: 1209097.9 / Avg: 1212918.2 / Max: 1215383.9 Min: 1247624.2 / Avg: 1248284.1 / Max: 1249496.7 Min: 1187003 / Avg: 1188387.17 / Max: 1189911.5 Min: 1040104.9 / Avg: 1041996.77 / Max: 1043715.1 Min: 1203466.2 / Avg: 1208480.8 / Max: 1211047.5 Min: 1141134.6 / Avg: 1143360.47 / Max: 1145070.1 Min: 1206399.7 / Avg: 1209698.03 / Max: 1213431.9 Min: 1259246.9 / Avg: 1262530.43 / Max: 1266147.1 Min: 1245534.1 / Avg: 1247037.63 / Max: 1248092.1 Min: 1161606.1 / Avg: 1162690.93 / Max: 1163575.1 Min: 1169540.4 / Avg: 1172021.13 / Max: 1173625.2 Min: 1152601.1 / Avg: 1155871.8 / Max: 1160133 Min: 1194820.8 / Avg: 1197778.87 / Max: 1202422.8 Min: 1214294.3 / Avg: 1215056.1 / Max: 1215921.9
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 5.92 3.07 2.15 0.99 5.10 1.55 6.00 3.75 2.34 4.04 1.98 1.27 3.70 5.15 MIN: 5.85 / MAX: 5.99 MIN: 3.02 / MAX: 3.11 MIN: 2.13 / MAX: 2.16 MAX: 1 MIN: 5.05 / MAX: 5.15 MIN: 1.54 / MAX: 1.57 MIN: 5.92 / MAX: 6.06 MIN: 3.72 / MAX: 3.77 MIN: 2.29 / MAX: 2.38 MIN: 3.98 / MAX: 4.07 MIN: 1.96 / MAX: 1.99 MIN: 1.26 / MAX: 1.28 MIN: 3.64 / MAX: 3.73 MIN: 5.08 / MAX: 5.21
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.009 0.018 0.027 0.036 0.045 0.03 0.02 0.02 0.01 0.03 0.02 0.04 0.03 0.01 0.02 0.02 0.01 0.02 0.03
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 5.92 / Avg: 5.92 / Max: 5.92 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 2.15 / Avg: 2.15 / Max: 2.15 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 5.1 / Avg: 5.1 / Max: 5.1 Min: 1.55 / Avg: 1.55 / Max: 1.55 Min: 5.99 / Avg: 6 / Max: 6.02 Min: 3.75 / Avg: 3.75 / Max: 3.75 Min: 2.33 / Avg: 2.34 / Max: 2.35 Min: 4.03 / Avg: 4.04 / Max: 4.05 Min: 1.98 / Avg: 1.98 / Max: 1.98 Min: 1.27 / Avg: 1.27 / Max: 1.27 Min: 3.7 / Avg: 3.7 / Max: 3.7 Min: 5.13 / Avg: 5.15 / Max: 5.15
Timed Godot Game Engine Compilation This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 SE +/- 0.17, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 62.56 76.16 96.77 172.13 62.48 122.41 62.27 69.42 84.21 66.57 103.74 136.62 69.62 61.81
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 62.22 / Avg: 62.56 / Max: 63.19 Min: 75.93 / Avg: 76.16 / Max: 76.36 Min: 96.64 / Avg: 96.77 / Max: 96.88 Min: 171.71 / Avg: 172.13 / Max: 172.7 Min: 62.24 / Avg: 62.48 / Max: 62.81 Min: 122.19 / Avg: 122.41 / Max: 122.67 Min: 61.99 / Avg: 62.27 / Max: 62.58 Min: 69.16 / Avg: 69.42 / Max: 69.74 Min: 83.58 / Avg: 84.21 / Max: 84.54 Min: 66.45 / Avg: 66.57 / Max: 66.76 Min: 103.26 / Avg: 103.74 / Max: 104.13 Min: 136.37 / Avg: 136.62 / Max: 137.03 Min: 69.45 / Avg: 69.62 / Max: 69.79 Min: 61.69 / Avg: 61.81 / Max: 61.9
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.95, N = 3 SE +/- 1.01, N = 3 SE +/- 0.42, N = 3 SE +/- 0.34, N = 3 SE +/- 0.27, N = 3 SE +/- 0.37, N = 3 SE +/- 0.27, N = 3 SE +/- 0.06, N = 3 SE +/- 0.34, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 40.07 69.84 102.29 198.45 46.59 136.20 40.33 60.75 83.45 55.32 108.34 156.31 61.25 45.78
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 Min: 39.84 / Avg: 40.07 / Max: 40.23 Min: 69.76 / Avg: 69.84 / Max: 69.99 Min: 100.63 / Avg: 102.29 / Max: 103.93 Min: 196.87 / Avg: 198.45 / Max: 200.33 Min: 45.95 / Avg: 46.59 / Max: 47.39 Min: 135.6 / Avg: 136.2 / Max: 136.76 Min: 39.99 / Avg: 40.33 / Max: 40.86 Min: 60 / Avg: 60.75 / Max: 61.17 Min: 83.1 / Avg: 83.45 / Max: 83.98 Min: 55.22 / Avg: 55.32 / Max: 55.43 Min: 107.74 / Avg: 108.34 / Max: 108.92 Min: 155.93 / Avg: 156.31 / Max: 156.78 Min: 60.93 / Avg: 61.25 / Max: 61.64 Min: 45.39 / Avg: 45.78 / Max: 45.99
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.
Result
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.0217 2.0434 3.0651 4.0868 5.1085 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 4.373 2.741 2.014 0.985 3.863 1.409 4.541 3.128 1.995 3.323 1.677 1.345 3.267 4.117 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Ns Per Day Per Watt
OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2020.3 Water Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0068 0.0136 0.0204 0.0272 0.034 0.02 0.02 0.02 0.01 0.02 0.01 0.03 0.02 0.01 0.02 0.02 0.01 0.02 0.02
Result Confidence
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 4.37 / Avg: 4.37 / Max: 4.38 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 0.98 / Avg: 0.99 / Max: 0.99 Min: 3.86 / Avg: 3.86 / Max: 3.87 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 4.53 / Avg: 4.54 / Max: 4.55 Min: 3.11 / Avg: 3.13 / Max: 3.14 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 3.32 / Avg: 3.32 / Max: 3.33 Min: 1.68 / Avg: 1.68 / Max: 1.68 Min: 1.34 / Avg: 1.35 / Max: 1.35 Min: 3.25 / Avg: 3.27 / Max: 3.28 Min: 4.09 / Avg: 4.12 / Max: 4.13 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700K 1400K 2100K 2800K 3500K SE +/- 6234.46, N = 7 SE +/- 1259.14, N = 3 SE +/- 366.38, N = 3 SE +/- 326.24, N = 3 SE +/- 1818.31, N = 3 SE +/- 518.11, N = 3 SE +/- 4181.60, N = 3 SE +/- 466.83, N = 3 SE +/- 1646.01, N = 3 SE +/- 149.07, N = 3 SE +/- 1027.95, N = 3 SE +/- 314.32, N = 3 SE +/- 386.91, N = 3 SE +/- 837.49, N = 3 702607 1206790 1567070 3136920 893517 2242950 655279 897884 1346153 840604 1639167 2592970 921865 830730
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500K 1000K 1500K 2000K 2500K Min: 690630 / Avg: 702607 / Max: 737249 Min: 1205130 / Avg: 1206790 / Max: 1209260 Min: 1566650 / Avg: 1567070 / Max: 1567800 Min: 3136350 / Avg: 3136920 / Max: 3137480 Min: 889933 / Avg: 893516.67 / Max: 895844 Min: 2241960 / Avg: 2242950 / Max: 2243710 Min: 649807 / Avg: 655278.67 / Max: 663492 Min: 897006 / Avg: 897884 / Max: 898598 Min: 1343550 / Avg: 1346153.33 / Max: 1349200 Min: 840370 / Avg: 840604 / Max: 840881 Min: 1637410 / Avg: 1639166.67 / Max: 1640970 Min: 2592570 / Avg: 2592970 / Max: 2593590 Min: 921416 / Avg: 921864.67 / Max: 922635 Min: 829366 / Avg: 830730.33 / Max: 832254
Build2 This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.22, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 SE +/- 0.32, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 67.97 76.65 87.66 145.44 69.86 105.71 68.29 74.20 75.85 71.46 94.35 113.26 74.48 69.43
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 67.65 / Avg: 67.97 / Max: 68.39 Min: 76.5 / Avg: 76.65 / Max: 76.84 Min: 87.37 / Avg: 87.66 / Max: 87.82 Min: 145.08 / Avg: 145.44 / Max: 146.02 Min: 69.58 / Avg: 69.86 / Max: 70.15 Min: 105.37 / Avg: 105.71 / Max: 106.15 Min: 68.11 / Avg: 68.29 / Max: 68.39 Min: 74.09 / Avg: 74.2 / Max: 74.34 Min: 75.26 / Avg: 75.85 / Max: 76.19 Min: 70.83 / Avg: 71.46 / Max: 71.85 Min: 94.22 / Avg: 94.35 / Max: 94.43 Min: 113.02 / Avg: 113.26 / Max: 113.53 Min: 74.18 / Avg: 74.48 / Max: 74.74 Min: 69.34 / Avg: 69.43 / Max: 69.57
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K SE +/- 628.66, N = 3 SE +/- 2008.07, N = 3 SE +/- 1121.87, N = 3 SE +/- 1442.60, N = 3 SE +/- 686.09, N = 3 SE +/- 1242.45, N = 3 SE +/- 762.66, N = 3 SE +/- 702.94, N = 3 SE +/- 2686.24, N = 3 SE +/- 295.02, N = 3 SE +/- 1061.91, N = 3 SE +/- 1176.92, N = 3 SE +/- 759.90, N = 3 SE +/- 1733.41, N = 3 1308517.2 1290897.8 1249264.6 1113861.3 1288738.6 1185857.8 1294664.5 1303437.6 1438050.4 1206497.8 1211354.3 1279851.8 1281490.5 1295588.8
val/sec Per Watt
OpenBenchmarking.org val/sec Per Watt, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K 12919.70 17743.64 18467.75 19958.05 15448.09 19817.67 13662.86 17835.71 13202.43 17199.25 19723.37 16288.24 13818.71 13661.39
Result Confidence
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K Min: 1307504.2 / Avg: 1308517.23 / Max: 1309668.7 Min: 1287374.1 / Avg: 1290897.83 / Max: 1294328.4 Min: 1247865.2 / Avg: 1249264.6 / Max: 1251483.2 Min: 1110976.3 / Avg: 1113861.27 / Max: 1115334.9 Min: 1287797.7 / Avg: 1288738.57 / Max: 1290074 Min: 1183868.7 / Avg: 1185857.83 / Max: 1188142.2 Min: 1293775.5 / Avg: 1294664.5 / Max: 1296182.4 Min: 1302037.7 / Avg: 1303437.6 / Max: 1304249.7 Min: 1433192.9 / Avg: 1438050.37 / Max: 1442466.9 Min: 1205942.3 / Avg: 1206497.83 / Max: 1206947.8 Min: 1209909.6 / Avg: 1211354.27 / Max: 1213424.8 Min: 1277678.1 / Avg: 1279851.77 / Max: 1281720.8 Min: 1279979.8 / Avg: 1281490.47 / Max: 1282389.9 Min: 1293258.5 / Avg: 1295588.83 / Max: 1298976.9
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700K 1400K 2100K 2800K 3500K SE +/- 6069.08, N = 3 SE +/- 1233.46, N = 3 SE +/- 272.21, N = 3 SE +/- 1129.29, N = 3 SE +/- 907.34, N = 3 SE +/- 436.36, N = 3 SE +/- 3136.75, N = 3 SE +/- 487.90, N = 3 SE +/- 192.21, N = 3 SE +/- 425.74, N = 3 SE +/- 565.25, N = 3 SE +/- 227.03, N = 3 SE +/- 143.80, N = 3 SE +/- 1781.71, N = 3 764269 1366410 1742890 3472940 978828 2493747 700833 1006347 1499183 943229 1820153 2872227 1034367 938691
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 600K 1200K 1800K 2400K 3000K Min: 752152 / Avg: 764269 / Max: 770948 Min: 1365020 / Avg: 1366410 / Max: 1368870 Min: 1742350 / Avg: 1742890 / Max: 1743220 Min: 3471470 / Avg: 3472940 / Max: 3475160 Min: 977917 / Avg: 978828.33 / Max: 980643 Min: 2492910 / Avg: 2493746.67 / Max: 2494380 Min: 695393 / Avg: 700833.33 / Max: 706259 Min: 1005560 / Avg: 1006346.67 / Max: 1007240 Min: 1498800 / Avg: 1499183.33 / Max: 1499400 Min: 942378 / Avg: 943229 / Max: 943679 Min: 1819400 / Avg: 1820153.33 / Max: 1821260 Min: 2871920 / Avg: 2872226.67 / Max: 2872670 Min: 1034080 / Avg: 1034366.67 / Max: 1034530 Min: 935608 / Avg: 938691 / Max: 941780
GnuPG This test times how long it takes to encrypt a sample file using GnuPG. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GnuPG 2.2.27 2.7GB Sample File Encryption EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.76, N = 3 SE +/- 0.84, N = 3 SE +/- 0.95, N = 3 SE +/- 0.53, N = 3 SE +/- 0.71, N = 3 SE +/- 0.94, N = 3 SE +/- 0.88, N = 3 SE +/- 0.75, N = 3 SE +/- 0.29, N = 3 SE +/- 0.30, N = 3 SE +/- 0.25, N = 3 SE +/- 0.36, N = 3 SE +/- 0.48, N = 3 SE +/- 0.80, N = 3 85.24 84.43 85.82 88.44 86.37 88.44 85.73 85.02 73.85 83.90 89.68 73.75 85.79 86.36 1. (CC) gcc options: -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GnuPG 2.2.27 2.7GB Sample File Encryption EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 83.83 / Avg: 85.24 / Max: 86.45 Min: 83.56 / Avg: 84.43 / Max: 86.11 Min: 84.82 / Avg: 85.82 / Max: 87.72 Min: 87.54 / Avg: 88.44 / Max: 89.39 Min: 85.07 / Avg: 86.37 / Max: 87.5 Min: 87.5 / Avg: 88.44 / Max: 90.31 Min: 84.82 / Avg: 85.73 / Max: 87.48 Min: 83.6 / Avg: 85.02 / Max: 86.12 Min: 73.37 / Avg: 73.85 / Max: 74.37 Min: 83.3 / Avg: 83.9 / Max: 84.23 Min: 89.26 / Avg: 89.68 / Max: 90.12 Min: 73.34 / Avg: 73.75 / Max: 74.47 Min: 85.06 / Avg: 85.79 / Max: 86.69 Min: 84.87 / Avg: 86.36 / Max: 87.6 1. (CC) gcc options: -O2
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 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 67.74 105.69 149.34 265.54 73.33 195.08 67.33 87.51 118.48 81.83 151.86 225.09 89.01 70.49
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50M 100M 150M 200M 250M SE +/- 2966178.44, N = 15 SE +/- 481377.88, N = 4 SE +/- 3144064.63, N = 15 SE +/- 1075776.09, N = 4 SE +/- 1883204.11, N = 15 SE +/- 1366026.89, N = 3 SE +/- 2208966.30, N = 15 SE +/- 2175939.87, N = 3 SE +/- 574642.20, N = 15 SE +/- 3811837.38, N = 15 SE +/- 927929.45, N = 9 SE +/- 1036502.10, N = 15 SE +/- 5452949.69, N = 15 SE +/- 5572341.62, N = 12 199683960 209811150 162898387 100898758 211310307 121256433 215771227 176798867 71413394 187397007 112489722 129536920 216525133 230851783 1. (CXX) g++ options: -O3 -fopenmp
Throughput FoM Per Watt
OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.4 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400K 800K 1200K 1600K 2000K 1423158.29 1932212.23 1638766.48 1349588.10 1673028.98 1508621.96 1604877.74 1575405.35 514628.71 1635500.08 1357552.35 1163515.81 1673190.41 1663875.88
Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40M 80M 120M 160M 200M Min: 179253900 / Avg: 199683960 / Max: 214308000 Min: 208902500 / Avg: 209811150 / Max: 211002600 Min: 148262800 / Avg: 162898386.67 / Max: 178935200 Min: 97675130 / Avg: 100898757.5 / Max: 102097200 Min: 200163900 / Avg: 211310306.67 / Max: 221141000 Min: 119380500 / Avg: 121256433.33 / Max: 123914500 Min: 199388700 / Avg: 215771226.67 / Max: 228027900 Min: 172473100 / Avg: 176798866.67 / Max: 179374000 Min: 68795100 / Avg: 71413394 / Max: 74273840 Min: 160767700 / Avg: 187397006.67 / Max: 215708300 Min: 107412100 / Avg: 112489722.22 / Max: 117685700 Min: 124322100 / Avg: 129536920 / Max: 133041300 Min: 170848300 / Avg: 216525133.33 / Max: 232847700 Min: 196106600 / Avg: 230851783.33 / Max: 255760700 1. (CXX) g++ options: -O3 -fopenmp
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.
Result
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2021 Input: water_GMX50_bare EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1.0199 2.0398 3.0597 4.0796 5.0995 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 1.407 4.533 4.371 3.140 2.313 3.317 1.675 1.348 3.256 1. (CXX) g++ options: -O3 -pthread
Ns Per Day Per Watt
OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2021 Input: water_GMX50_bare EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 0.0068 0.0136 0.0204 0.0272 0.034 0.03 0.02 0.01 0.02 0.02 0.01 0.02
Result Confidence
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2021 Input: water_GMX50_bare EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2 4 6 8 10 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 4.52 / Avg: 4.53 / Max: 4.54 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 3.14 / Avg: 3.14 / Max: 3.14 Min: 2.31 / Avg: 2.31 / Max: 2.33 Min: 3.31 / Avg: 3.32 / Max: 3.33 Min: 1.67 / Avg: 1.68 / Max: 1.68 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 3.24 / Avg: 3.26 / Max: 3.27 1. (CXX) g++ options: -O3 -pthread
Parboil The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP MRI Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.77, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.88, N = 3 SE +/- 0.29, N = 3 SE +/- 0.24, N = 3 SE +/- 0.63, N = 3 SE +/- 0.22, N = 3 SE +/- 0.24, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.28, N = 3 SE +/- 0.83, N = 3 110.47 65.42 95.77 75.43 93.48 51.65 109.30 76.19 49.01 75.44 62.29 34.04 128.29 95.40 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP MRI Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 109.25 / Avg: 110.47 / Max: 111.89 Min: 65.38 / Avg: 65.42 / Max: 65.48 Min: 95.59 / Avg: 95.77 / Max: 95.96 Min: 73.67 / Avg: 75.43 / Max: 76.37 Min: 93.04 / Avg: 93.48 / Max: 94.02 Min: 51.36 / Avg: 51.65 / Max: 52.13 Min: 108.54 / Avg: 109.3 / Max: 110.55 Min: 75.76 / Avg: 76.19 / Max: 76.51 Min: 48.58 / Avg: 49.01 / Max: 49.42 Min: 75.01 / Avg: 75.44 / Max: 76 Min: 61.91 / Avg: 62.29 / Max: 62.65 Min: 33.82 / Avg: 34.04 / Max: 34.32 Min: 127.98 / Avg: 128.29 / Max: 128.85 Min: 93.75 / Avg: 95.4 / Max: 96.31 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 5.75, N = 3 SE +/- 0.54, N = 3 SE +/- 2.99, N = 3 SE +/- 5.10, N = 3 SE +/- 1.32, N = 3 SE +/- 1.59, N = 3 SE +/- 8.27, N = 3 SE +/- 5.60, N = 3 SE +/- 2.05, N = 3 SE +/- 1.42, N = 3 SE +/- 1.43, N = 3 SE +/- 0.86, N = 3 SE +/- 2.63, N = 3 SE +/- 0.57, N = 3 2306.33 1672.24 2412.79 4345.12 1350.55 3056.05 2221.33 2738.42 2013.75 2718.68 2836.68 3345.10 2214.79 1213.58 MIN: 2274.33 MIN: 1658.48 MIN: 2397.68 MIN: 4298.14 MIN: 1331.05 MIN: 3041.35 MIN: 2189.19 MIN: 2722.76 MIN: 1995.38 MIN: 2705.41 MIN: 2798.53 MIN: 3322.56 MIN: 2191.84 MIN: 1190.99 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 800 1600 2400 3200 4000 Min: 2294.83 / Avg: 2306.33 / Max: 2312.48 Min: 1671.4 / Avg: 1672.24 / Max: 1673.25 Min: 2408.58 / Avg: 2412.79 / Max: 2418.57 Min: 4339.98 / Avg: 4345.12 / Max: 4355.32 Min: 1347.94 / Avg: 1350.55 / Max: 1352.2 Min: 3053.73 / Avg: 3056.05 / Max: 3059.09 Min: 2206.05 / Avg: 2221.33 / Max: 2234.44 Min: 2731.04 / Avg: 2738.42 / Max: 2749.41 Min: 2010.58 / Avg: 2013.75 / Max: 2017.58 Min: 2716.43 / Avg: 2718.68 / Max: 2721.31 Min: 2834.78 / Avg: 2836.68 / Max: 2839.49 Min: 3343.83 / Avg: 3345.1 / Max: 3346.73 Min: 2209.9 / Avg: 2214.79 / Max: 2218.93 Min: 1212.83 / Avg: 1213.58 / Max: 1214.69 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 9.75, N = 3 SE +/- 0.94, N = 3 SE +/- 3.71, N = 3 SE +/- 4.35, N = 3 SE +/- 1.28, N = 3 SE +/- 0.81, N = 3 SE +/- 0.34, N = 3 SE +/- 4.79, N = 3 SE +/- 0.63, N = 3 SE +/- 2.51, N = 3 SE +/- 1.77, N = 3 SE +/- 2.55, N = 3 SE +/- 5.96, N = 3 SE +/- 3.66, N = 3 2314.36 1673.31 2407.93 4348.88 1350.13 3059.19 2203.16 2740.52 1997.39 2716.54 2835.35 3348.06 2221.37 1211.54 MIN: 2276.78 MIN: 1660.31 MIN: 2392.45 MIN: 4311.94 MIN: 1333.75 MIN: 3051.11 MIN: 2183.71 MIN: 2722.51 MIN: 1989.1 MIN: 2705.25 MIN: 2800.15 MIN: 3331.21 MIN: 2198.48 MIN: 1187.15 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 800 1600 2400 3200 4000 Min: 2296.67 / Avg: 2314.36 / Max: 2330.29 Min: 1671.47 / Avg: 1673.31 / Max: 1674.53 Min: 2401.58 / Avg: 2407.93 / Max: 2414.43 Min: 4341.28 / Avg: 4348.88 / Max: 4356.33 Min: 1347.63 / Avg: 1350.13 / Max: 1351.85 Min: 3057.83 / Avg: 3059.19 / Max: 3060.62 Min: 2202.51 / Avg: 2203.16 / Max: 2203.65 Min: 2731.74 / Avg: 2740.52 / Max: 2748.21 Min: 1996.27 / Avg: 1997.39 / Max: 1998.44 Min: 2713.68 / Avg: 2716.54 / Max: 2721.54 Min: 2831.82 / Avg: 2835.35 / Max: 2837.39 Min: 3342.99 / Avg: 3348.06 / Max: 3351.09 Min: 2213.13 / Avg: 2221.37 / Max: 2232.96 Min: 1207.18 / Avg: 1211.54 / Max: 1218.81 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 3.86, N = 3 SE +/- 1.08, N = 3 SE +/- 0.38, N = 3 SE +/- 1.97, N = 3 SE +/- 1.92, N = 3 SE +/- 3.17, N = 3 SE +/- 11.35, N = 3 SE +/- 2.18, N = 3 SE +/- 6.65, N = 3 SE +/- 2.43, N = 3 SE +/- 2.25, N = 3 SE +/- 0.89, N = 3 SE +/- 5.23, N = 3 SE +/- 2.03, N = 3 2296.53 1674.66 2410.23 4347.66 1352.62 3057.08 2230.18 2743.71 2013.24 2721.87 2834.09 3345.67 2230.35 1210.04 MIN: 2270.01 MIN: 1660.31 MIN: 2395.31 MIN: 4308.62 MIN: 1333.53 MIN: 3044.36 MIN: 2194.78 MIN: 2727.14 MIN: 1992.69 MIN: 2708.11 MIN: 2799.34 MIN: 3327 MIN: 2212.66 MIN: 1190.59 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 800 1600 2400 3200 4000 Min: 2288.81 / Avg: 2296.53 / Max: 2300.61 Min: 1672.87 / Avg: 1674.66 / Max: 1676.6 Min: 2409.5 / Avg: 2410.23 / Max: 2410.77 Min: 4343.96 / Avg: 4347.66 / Max: 4350.69 Min: 1350.2 / Avg: 1352.62 / Max: 1356.42 Min: 3051.79 / Avg: 3057.08 / Max: 3062.75 Min: 2212.51 / Avg: 2230.18 / Max: 2251.36 Min: 2741.09 / Avg: 2743.71 / Max: 2748.05 Min: 2003.33 / Avg: 2013.24 / Max: 2025.88 Min: 2718.51 / Avg: 2721.87 / Max: 2726.6 Min: 2829.71 / Avg: 2834.09 / Max: 2837.17 Min: 3344.19 / Avg: 3345.67 / Max: 3347.26 Min: 2221.2 / Avg: 2230.35 / Max: 2239.31 Min: 1206.71 / Avg: 1210.04 / Max: 1213.71 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2M 4M 6M 8M 10M SE +/- 47749.78, N = 3 SE +/- 43537.48, N = 3 SE +/- 25144.15, N = 3 SE +/- 1710.84, N = 3 SE +/- 44027.23, N = 3 SE +/- 24217.23, N = 3 SE +/- 27617.12, N = 3 SE +/- 24292.51, N = 3 SE +/- 8186.58, N = 3 SE +/- 55384.00, N = 3 SE +/- 26792.49, N = 3 SE +/- 10805.74, N = 13 SE +/- 32730.71, N = 3 SE +/- 69440.76, N = 6 8232474 4397695 3086237 1470621 7183579 2357928 8175383 5486066 3012387 5564433 3023239 1603673 5214302 7131600 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9K 18K 27K 36K 45K 43072.97 28233.69 24738.50 18803.69 40538.44 23416.29 44350.10 36657.22 14841.44 32038.20 29403.11 14725.01 31284.41 37151.16
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.4M 2.8M 4.2M 5.6M 7M Min: 8181136 / Avg: 8232473.67 / Max: 8327881 Min: 4337144 / Avg: 4397695 / Max: 4482162 Min: 3036500 / Avg: 3086236.67 / Max: 3117538 Min: 1467509 / Avg: 1470620.67 / Max: 1473409 Min: 7101279 / Avg: 7183579 / Max: 7251844 Min: 2309505 / Avg: 2357928 / Max: 2383052 Min: 8142180 / Avg: 8175382.67 / Max: 8230211 Min: 5439082 / Avg: 5486065.67 / Max: 5520271 Min: 3002918 / Avg: 3012386.67 / Max: 3028689 Min: 5463565 / Avg: 5564432.67 / Max: 5654508 Min: 2989438 / Avg: 3023238.67 / Max: 3076148 Min: 1550246 / Avg: 1603672.85 / Max: 1683898 Min: 5150993 / Avg: 5214301.67 / Max: 5260375 Min: 7048399 / Avg: 7131599.5 / Max: 7477000 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Minion Minion is an open-source constraint solver that is designed to be very scalable. This test profile uses Minion's integrated benchmarking problems to solve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Minion 1.8 Benchmark: Solitaire EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 3 79.39 79.03 80.33 82.84 80.15 81.97 80.12 79.00 67.74 77.80 82.15 67.80 79.85 79.72 1. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Minion 1.8 Benchmark: Solitaire EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 16 32 48 64 80 Min: 79.2 / Avg: 79.39 / Max: 79.66 Min: 78.84 / Avg: 79.03 / Max: 79.18 Min: 80.18 / Avg: 80.33 / Max: 80.55 Min: 82.61 / Avg: 82.84 / Max: 83.06 Min: 80.03 / Avg: 80.15 / Max: 80.32 Min: 81.59 / Avg: 81.97 / Max: 82.16 Min: 80.05 / Avg: 80.12 / Max: 80.26 Min: 78.98 / Avg: 79 / Max: 79.03 Min: 67.63 / Avg: 67.74 / Max: 67.95 Min: 77.68 / Avg: 77.8 / Max: 77.93 Min: 81.53 / Avg: 82.15 / Max: 82.68 Min: 67.36 / Avg: 67.8 / Max: 68.07 Min: 79.51 / Avg: 79.85 / Max: 80.03 Min: 79.1 / Avg: 79.72 / Max: 80.13 1. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
JPEG XL Decoding The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. Learn more via the OpenBenchmarking.org test page.
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.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.2723 0.5446 0.8169 1.0892 1.3615 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.21 0.92 0.84 0.98 0.99 0.89 1.06 0.84 0.81 0.77 0.78 0.79 0.95 1.02
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 0.91 / Avg: 0.92 / Max: 0.93 Min: 0.83 / Avg: 0.84 / Max: 0.84 Min: 0.91 / Avg: 0.98 / Max: 1.03 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 0.87 / Avg: 0.89 / Max: 0.91 Min: 1.06 / Avg: 1.06 / Max: 1.07 Min: 0.83 / Avg: 0.84 / Max: 0.84 Min: 0.8 / Avg: 0.81 / Max: 0.82 Min: 0.77 / Avg: 0.77 / Max: 0.78 Min: 0.77 / Avg: 0.78 / Max: 0.79 Min: 0.78 / Avg: 0.79 / Max: 0.81 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 1.01 / Avg: 1.02 / Max: 1.02
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6K 12K 18K 24K 30K SE +/- 28.57, N = 3 SE +/- 95.61, N = 3 SE +/- 21.57, N = 3 SE +/- 41.71, N = 15 SE +/- 55.79, N = 3 SE +/- 89.67, N = 3 SE +/- 46.32, N = 3 SE +/- 42.04, N = 3 SE +/- 43.76, N = 3 SE +/- 85.72, N = 3 SE +/- 50.79, N = 3 SE +/- 52.69, N = 3 SE +/- 22.86, N = 3 SE +/- 31.70, N = 3 25067.04 12800.59 9316.80 4012.40 23441.91 6689.95 28284.87 18612.54 9663.43 19922.01 10017.98 4953.65 16446.88 22986.05
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K Min: 25025.67 / Avg: 25067.04 / Max: 25121.85 Min: 12615.39 / Avg: 12800.59 / Max: 12934.43 Min: 9293.16 / Avg: 9316.8 / Max: 9359.87 Min: 3827.5 / Avg: 4012.4 / Max: 4339.41 Min: 23347.44 / Avg: 23441.91 / Max: 23540.57 Min: 6524.74 / Avg: 6689.95 / Max: 6832.97 Min: 28192.24 / Avg: 28284.87 / Max: 28331.27 Min: 18567.53 / Avg: 18612.54 / Max: 18696.54 Min: 9575.98 / Avg: 9663.43 / Max: 9710.01 Min: 19751.03 / Avg: 19922.01 / Max: 20018.47 Min: 9917.01 / Avg: 10017.98 / Max: 10078.03 Min: 4855.38 / Avg: 4953.65 / Max: 5035.74 Min: 16403.4 / Avg: 16446.88 / Max: 16480.83 Min: 22927.38 / Avg: 22986.05 / Max: 23036.21
Cpuminer-Opt Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Skeincoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 140K 280K 420K 560K 700K SE +/- 12582.41, N = 12 SE +/- 3944.26, N = 15 SE +/- 981.65, N = 3 SE +/- 611.43, N = 6 SE +/- 6158.44, N = 12 SE +/- 728.58, N = 3 SE +/- 5351.86, N = 13 SE +/- 4313.15, N = 3 SE +/- 335.77, N = 3 SE +/- 2411.69, N = 3 SE +/- 1328.09, N = 3 SE +/- 654.80, N = 15 SE +/- 2127.92, N = 3 SE +/- 9107.04, N = 12 605852 210539 151030 63648 468227 105140 631038 316350 182403 324420 150287 79365 317250 470502 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Skeincoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K 8011.78 3879.07 2891.08 1483.87 7328.52 2410.51 8559.50 5770.73 2197.63 5932.59 3270.93 1374.22 4208.20 6520.94
Result Confidence
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Skeincoin EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110K 220K 330K 440K 550K Min: 470320 / Avg: 605851.67 / Max: 630960 Min: 187570 / Avg: 210538.67 / Max: 242310 Min: 149150 / Avg: 151030 / Max: 152460 Min: 61790 / Avg: 63648.33 / Max: 66140 Min: 404270 / Avg: 468226.67 / Max: 483970 Min: 103990 / Avg: 105140 / Max: 106490 Min: 570830 / Avg: 631038.46 / Max: 649140 Min: 310740 / Avg: 316350 / Max: 324830 Min: 181900 / Avg: 182403.33 / Max: 183040 Min: 319750 / Avg: 324420 / Max: 327800 Min: 148430 / Avg: 150286.67 / Max: 152860 Min: 75330 / Avg: 79365.33 / Max: 84270 Min: 313810 / Avg: 317250 / Max: 321140 Min: 373060 / Avg: 470501.67 / Max: 494480 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K SE +/- 1303.40, N = 3 SE +/- 10119.73, N = 3 SE +/- 5524.24, N = 9 SE +/- 6988.75, N = 3 SE +/- 4097.81, N = 3 SE +/- 6225.31, N = 6 SE +/- 227.93, N = 3 SE +/- 6323.38, N = 3 SE +/- 6124.02, N = 3 SE +/- 4338.82, N = 3 SE +/- 9036.88, N = 4 SE +/- 6471.76, N = 5 SE +/- 2994.50, N = 3 SE +/- 3532.96, N = 3 451547 805066 692044 545816 521910 656055 442864 846887 699077 860225 735381 581407 806814 518446 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K 3013.23 5637.77 6716.57 8529.54 3855.32 8044.80 2783.45 5906.76 3901.69 5587.32 8078.17 6147.22 4922.99 3303.48
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 150K 300K 450K 600K 750K Min: 449913 / Avg: 451547 / Max: 454123 Min: 794424 / Avg: 805065.67 / Max: 825296 Min: 669061 / Avg: 692043.67 / Max: 723569 Min: 533331 / Avg: 545816.33 / Max: 557501 Min: 516355 / Avg: 521910 / Max: 529906 Min: 638259 / Avg: 656055.33 / Max: 681884 Min: 442493 / Avg: 442864.33 / Max: 443279 Min: 835350 / Avg: 846887 / Max: 857142 Min: 687578 / Avg: 699077 / Max: 708479 Min: 851801 / Avg: 860225.33 / Max: 866240 Min: 722999 / Avg: 735381.25 / Max: 761712 Min: 569871 / Avg: 581407 / Max: 602220 Min: 801674 / Avg: 806813.67 / Max: 812046 Min: 513881 / Avg: 518445.67 / Max: 525399 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.54, N = 3 SE +/- 0.05, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.36, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.27, N = 3 SE +/- 0.11, N = 3 77.61 75.91 77.74 81.51 78.26 80.19 77.94 77.19 66.52 76.16 80.05 67.30 78.07 78.23 1. (CC) gcc options: -O2 -ldl -lz -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 16 32 48 64 80 Min: 77.55 / Avg: 77.61 / Max: 77.67 Min: 74.83 / Avg: 75.9 / Max: 76.53 Min: 77.69 / Avg: 77.74 / Max: 77.85 Min: 81.25 / Avg: 81.51 / Max: 82.01 Min: 78.14 / Avg: 78.26 / Max: 78.37 Min: 80.11 / Avg: 80.19 / Max: 80.3 Min: 77.74 / Avg: 77.94 / Max: 78.1 Min: 76.8 / Avg: 77.18 / Max: 77.9 Min: 66.35 / Avg: 66.52 / Max: 66.7 Min: 75.89 / Avg: 76.16 / Max: 76.52 Min: 79.76 / Avg: 80.05 / Max: 80.38 Min: 67.2 / Avg: 67.3 / Max: 67.4 Min: 77.69 / Avg: 78.06 / Max: 78.59 Min: 78.09 / Avg: 78.23 / Max: 78.45 1. (CC) gcc options: -O2 -ldl -lz -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500 1000 1500 2000 2500 SE +/- 2.81, N = 3 SE +/- 1.57, N = 3 SE +/- 0.54, N = 3 SE +/- 3.61, N = 3 SE +/- 2.09, N = 3 SE +/- 4.61, N = 3 SE +/- 1.88, N = 3 SE +/- 2.58, N = 3 SE +/- 3.97, N = 3 SE +/- 1.35, N = 3 SE +/- 5.33, N = 3 SE +/- 0.95, N = 3 SE +/- 1.32, N = 3 SE +/- 3.28, N = 3 878.20 974.12 1227.56 2397.22 784.82 2032.88 793.23 919.61 998.67 886.88 1886.30 1742.79 812.99 734.40 MIN: 851.72 MIN: 962.55 MIN: 1218.44 MIN: 2370.41 MIN: 771.05 MIN: 2016.92 MIN: 777.03 MIN: 906.32 MIN: 987.09 MIN: 865.5 MIN: 1851.55 MIN: 1728.82 MIN: 799.51 MIN: 716.82 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400 800 1200 1600 2000 Min: 873.24 / Avg: 878.2 / Max: 882.97 Min: 971.07 / Avg: 974.12 / Max: 976.32 Min: 1226.72 / Avg: 1227.56 / Max: 1228.57 Min: 2392.08 / Avg: 2397.22 / Max: 2404.17 Min: 780.67 / Avg: 784.82 / Max: 787.4 Min: 2023.66 / Avg: 2032.88 / Max: 2037.71 Min: 791.29 / Avg: 793.23 / Max: 796.99 Min: 916.98 / Avg: 919.61 / Max: 924.77 Min: 991.29 / Avg: 998.67 / Max: 1004.91 Min: 884.18 / Avg: 886.88 / Max: 888.33 Min: 1876.6 / Avg: 1886.3 / Max: 1894.99 Min: 1741.68 / Avg: 1742.79 / Max: 1744.69 Min: 810.37 / Avg: 812.99 / Max: 814.64 Min: 728.04 / Avg: 734.4 / Max: 738.94 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500 1000 1500 2000 2500 SE +/- 3.54, N = 3 SE +/- 0.91, N = 3 SE +/- 0.19, N = 3 SE +/- 2.26, N = 3 SE +/- 2.70, N = 3 SE +/- 2.69, N = 3 SE +/- 1.17, N = 3 SE +/- 5.72, N = 3 SE +/- 1.61, N = 3 SE +/- 4.31, N = 3 SE +/- 3.12, N = 3 SE +/- 0.51, N = 3 SE +/- 1.51, N = 3 SE +/- 1.28, N = 3 874.44 972.93 1229.69 2397.56 787.43 2022.45 793.20 902.26 997.85 890.48 1882.64 1745.54 813.12 732.81 MIN: 847.07 MIN: 960.02 MIN: 1221.64 MIN: 2367.09 MIN: 769.99 MIN: 2012.67 MIN: 776.66 MIN: 882.8 MIN: 987.15 MIN: 867.03 MIN: 1853.21 MIN: 1733.89 MIN: 799.88 MIN: 712.9 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400 800 1200 1600 2000 Min: 868.68 / Avg: 874.44 / Max: 880.89 Min: 971.59 / Avg: 972.93 / Max: 974.66 Min: 1229.46 / Avg: 1229.69 / Max: 1230.06 Min: 2394.02 / Avg: 2397.56 / Max: 2401.75 Min: 782.55 / Avg: 787.43 / Max: 791.88 Min: 2018.73 / Avg: 2022.45 / Max: 2027.68 Min: 790.85 / Avg: 793.2 / Max: 794.46 Min: 890.83 / Avg: 902.26 / Max: 908.5 Min: 995.25 / Avg: 997.85 / Max: 1000.79 Min: 882.05 / Avg: 890.48 / Max: 896.25 Min: 1876.41 / Avg: 1882.64 / Max: 1885.98 Min: 1744.59 / Avg: 1745.54 / Max: 1746.31 Min: 810.1 / Avg: 813.12 / Max: 814.7 Min: 731.06 / Avg: 732.81 / Max: 735.31 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500 1000 1500 2000 2500 SE +/- 3.99, N = 3 SE +/- 0.65, N = 3 SE +/- 1.03, N = 3 SE +/- 4.09, N = 3 SE +/- 1.66, N = 3 SE +/- 1.28, N = 3 SE +/- 0.96, N = 3 SE +/- 5.94, N = 3 SE +/- 0.99, N = 3 SE +/- 1.82, N = 3 SE +/- 4.32, N = 3 SE +/- 2.16, N = 3 SE +/- 2.11, N = 3 SE +/- 2.51, N = 3 875.71 972.77 1228.50 2398.98 782.65 2029.28 792.55 917.61 999.14 888.54 1884.70 1744.75 814.03 735.82 MIN: 846.67 MIN: 962.66 MIN: 1219.05 MIN: 2367.55 MIN: 769.36 MIN: 2020.38 MIN: 773.96 MIN: 892.04 MIN: 991.16 MIN: 872.96 MIN: 1853.9 MIN: 1731.94 MIN: 801.22 MIN: 715.63 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400 800 1200 1600 2000 Min: 869.12 / Avg: 875.71 / Max: 882.9 Min: 971.9 / Avg: 972.77 / Max: 974.05 Min: 1226.65 / Avg: 1228.5 / Max: 1230.2 Min: 2391.8 / Avg: 2398.98 / Max: 2405.96 Min: 779.51 / Avg: 782.65 / Max: 785.17 Min: 2026.92 / Avg: 2029.28 / Max: 2031.33 Min: 791.43 / Avg: 792.55 / Max: 794.46 Min: 907.1 / Avg: 917.61 / Max: 927.67 Min: 997.98 / Avg: 999.14 / Max: 1001.1 Min: 885.37 / Avg: 888.54 / Max: 891.69 Min: 1878.26 / Avg: 1884.7 / Max: 1892.91 Min: 1742.54 / Avg: 1744.75 / Max: 1749.07 Min: 810.97 / Avg: 814.03 / Max: 818.07 Min: 731.42 / Avg: 735.82 / Max: 740.12 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0352 0.0704 0.1056 0.1408 0.176 SE +/- 0.00022828, N = 3 SE +/- 0.00052181, N = 3 SE +/- 0.00104595, N = 3 SE +/- 0.00101629, N = 3 SE +/- 0.00076232, N = 3 SE +/- 0.00070595, N = 3 SE +/- 0.00009609, N = 3 SE +/- 0.00050264, N = 3 SE +/- 0.00013172, N = 3 SE +/- 0.00010921, N = 3 SE +/- 0.00047942, N = 3 SE +/- 0.00007037, N = 3 SE +/- 0.00097851, N = 3 SE +/- 0.00113052, N = 3 0.14954339 0.14573597 0.14978489 0.15653208 0.15124976 0.15457890 0.14976795 0.14859273 0.12924285 0.14850812 0.15341705 0.12819545 0.14988293 0.14868253
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1 2 3 4 5 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 400K 800K 1200K 1600K 2000K SE +/- 1046.01, N = 3 SE +/- 1542.09, N = 3 SE +/- 1815.81, N = 3 SE +/- 102.44, N = 3 SE +/- 10873.39, N = 3 SE +/- 270.65, N = 3 SE +/- 473.83, N = 3 SE +/- 609.31, N = 3 SE +/- 1470.27, N = 3 SE +/- 1150.50, N = 3 SE +/- 538.09, N = 3 SE +/- 818.34, N = 3 SE +/- 707.15, N = 3 1845888.80 902070.15 603381.33 293387.40 1530338.79 440879.64 1867023.46 1147733.95 716393.88 1203386.72 586659.10 356570.41 1123555.30 1. (CC) gcc options: -O2 -lrt" -lrt
Iterations/Sec Per Watt
OpenBenchmarking.org Iterations/Sec Per Watt, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K 11585.51 6564.90 5810.65 4345.65 10306.40 5295.21 11942.55 8528.23 3863.56 8324.83 6395.91 3489.81 7324.67
Result Confidence
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 300K 600K 900K 1200K 1500K Min: 1844712.66 / Avg: 1845888.8 / Max: 1847975.17 Min: 899666.14 / Avg: 902070.15 / Max: 904945.39 Min: 599995.31 / Avg: 603381.33 / Max: 606211.3 Min: 293258.49 / Avg: 293387.4 / Max: 293589.77 Min: 1517351.75 / Avg: 1530338.79 / Max: 1551938.41 Min: 440356.87 / Avg: 440879.64 / Max: 441262.65 Min: 1866161.25 / Avg: 1867023.46 / Max: 1867795.13 Min: 1146516.78 / Avg: 1147733.95 / Max: 1148394.04 Min: 713469.52 / Avg: 716393.88 / Max: 718122.78 Min: 1201201.2 / Avg: 1203386.72 / Max: 1205102.86 Min: 585752.04 / Avg: 586659.1 / Max: 587614.19 Min: 355244.72 / Avg: 356570.41 / Max: 358064.49 Min: 1122462.4 / Avg: 1123555.3 / Max: 1124879.16 1. (CC) gcc options: -O2 -lrt" -lrt
Himeno Benchmark The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 36.48, N = 3 SE +/- 37.84, N = 3 SE +/- 46.66, N = 4 SE +/- 25.83, N = 3 SE +/- 31.29, N = 9 SE +/- 37.21, N = 3 SE +/- 47.38, N = 4 SE +/- 43.10, N = 4 SE +/- 38.21, N = 3 SE +/- 9.42, N = 3 SE +/- 17.87, N = 3 SE +/- 33.69, N = 3 SE +/- 42.46, N = 3 SE +/- 44.49, N = 4 3762.49 3765.85 3792.81 3589.93 3793.17 3634.17 3837.56 3853.50 4367.12 3988.94 3756.96 4336.41 3830.20 3816.08 1. (CC) gcc options: -O3 -mavx2
MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 51.62 73.50 73.24 83.09 62.42 82.98 53.85 75.05 57.55 77.43 84.36 75.95 53.96 56.78
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 800 1600 2400 3200 4000 Min: 3718.35 / Avg: 3762.49 / Max: 3834.86 Min: 3719.42 / Avg: 3765.85 / Max: 3840.83 Min: 3699.39 / Avg: 3792.81 / Max: 3917.69 Min: 3541.75 / Avg: 3589.93 / Max: 3630.15 Min: 3632 / Avg: 3793.17 / Max: 3925.79 Min: 3590.61 / Avg: 3634.17 / Max: 3708.22 Min: 3701.86 / Avg: 3837.56 / Max: 3910.17 Min: 3731.7 / Avg: 3853.5 / Max: 3929.87 Min: 4297.85 / Avg: 4367.12 / Max: 4429.7 Min: 3976.02 / Avg: 3988.94 / Max: 4007.28 Min: 3721.38 / Avg: 3756.96 / Max: 3777.75 Min: 4277.41 / Avg: 4336.41 / Max: 4394.1 Min: 3768.21 / Avg: 3830.2 / Max: 3911.46 Min: 3692 / Avg: 3816.08 / Max: 3902.55 1. (CC) gcc options: -O3 -mavx2
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 8.71 8.72 8.82 9.49 8.83 9.06 8.80 8.62 7.54 8.57 9.13 7.47 8.79 8.84
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 8.71 / Avg: 8.71 / Max: 8.71 Min: 8.72 / Avg: 8.72 / Max: 8.73 Min: 8.81 / Avg: 8.82 / Max: 8.82 Min: 9.49 / Avg: 9.49 / Max: 9.49 Min: 8.81 / Avg: 8.83 / Max: 8.84 Min: 9.05 / Avg: 9.06 / Max: 9.06 Min: 8.8 / Avg: 8.8 / Max: 8.8 Min: 8.61 / Avg: 8.62 / Max: 8.62 Min: 7.54 / Avg: 7.54 / Max: 7.55 Min: 8.57 / Avg: 8.57 / Max: 8.57 Min: 9.12 / Avg: 9.13 / Max: 9.13 Min: 7.47 / Avg: 7.47 / Max: 7.48 Min: 8.78 / Avg: 8.79 / Max: 8.79 Min: 8.83 / Avg: 8.84 / Max: 8.85
Cpuminer-Opt Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: x25x EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300 600 900 1200 1500 SE +/- 29.63, N = 14 SE +/- 39.35, N = 15 SE +/- 0.74, N = 3 SE +/- 1.33, N = 3 SE +/- 11.98, N = 15 SE +/- 0.69, N = 3 SE +/- 32.30, N = 15 SE +/- 37.08, N = 15 SE +/- 1.25, N = 3 SE +/- 2.23, N = 3 SE +/- 1.04, N = 3 SE +/- 1.31, N = 3 SE +/- 0.86, N = 3 SE +/- 1.46, N = 3 1360.06 862.81 447.01 216.58 1139.38 322.83 1398.77 883.87 524.31 891.02 429.51 262.90 807.02 1147.36 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: x25x EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 9.94 7.07 4.46 3.24 8.88 3.88 9.95 7.53 2.99 7.25 4.95 2.72 5.88 7.80
Result Confidence
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: x25x EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 1313.18 / Avg: 1360.06 / Max: 1735.96 Min: 675.58 / Avg: 862.81 / Max: 1074.46 Min: 445.61 / Avg: 447.01 / Max: 448.15 Min: 214.04 / Avg: 216.58 / Max: 218.55 Min: 1114.29 / Avg: 1139.38 / Max: 1274.78 Min: 321.57 / Avg: 322.83 / Max: 323.96 Min: 1361.4 / Avg: 1398.77 / Max: 1850.16 Min: 822.42 / Avg: 883.87 / Max: 1393.5 Min: 521.85 / Avg: 524.31 / Max: 525.94 Min: 887.85 / Avg: 891.02 / Max: 895.31 Min: 427.95 / Avg: 429.51 / Max: 431.48 Min: 260.27 / Avg: 262.9 / Max: 264.3 Min: 806.02 / Avg: 807.02 / Max: 808.73 Min: 1144.44 / Avg: 1147.36 / Max: 1148.92 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K SE +/- 18.64, N = 7 SE +/- 36.01, N = 4 SE +/- 93.14, N = 3 SE +/- 44.49, N = 3 SE +/- 54.81, N = 3 SE +/- 29.05, N = 3 SE +/- 44.06, N = 3 SE +/- 14.46, N = 3 SE +/- 89.78, N = 3 SE +/- 29.33, N = 3 SE +/- 66.67, N = 3 SE +/- 34.53, N = 3 SE +/- 43.54, N = 3 10162.0 10209.3 10172.7 10063.0 10159.7 10101.0 10170.7 10232.8 10099.6 10222.4 10112.2 10567.2 10118.0 1. (CC) gcc options: -O3
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 139.07 199.84 198.83 233.97 166.50 232.15 143.59 198.84 134.23 199.63 227.31 188.33 141.26
Result Confidence
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K Min: 10103.5 / Avg: 10162.01 / Max: 10237.8 Min: 10125 / Avg: 10209.25 / Max: 10270.7 Min: 10073 / Avg: 10172.67 / Max: 10358.8 Min: 10013.3 / Avg: 10063.03 / Max: 10151.8 Min: 10076.5 / Avg: 10159.67 / Max: 10263.1 Min: 10050 / Avg: 10101 / Max: 10150.6 Min: 10082.6 / Avg: 10170.7 / Max: 10215.9 Min: 10214 / Avg: 10232.77 / Max: 10261.2 Min: 9990.9 / Avg: 10099.57 / Max: 10277.7 Min: 10167.9 / Avg: 10222.43 / Max: 10268.4 Min: 9978.9 / Avg: 10112.23 / Max: 10180.1 Min: 10498.8 / Avg: 10567.23 / Max: 10609.5 Min: 10073.2 / Avg: 10118.03 / Max: 10205.1 1. (CC) gcc options: -O3
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 12 24 36 48 60 SE +/- 0.42, N = 7 SE +/- 0.55, N = 4 SE +/- 0.53, N = 3 SE +/- 0.43, N = 3 SE +/- 0.65, N = 3 SE +/- 0.15, N = 3 SE +/- 0.31, N = 3 SE +/- 0.29, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.35, N = 3 SE +/- 0.37, N = 3 45.69 45.98 44.53 44.93 45.38 43.23 45.19 45.77 52.82 45.90 44.38 52.79 44.69 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 11 22 33 44 55 Min: 44.72 / Avg: 45.69 / Max: 47.44 Min: 45.35 / Avg: 45.98 / Max: 47.62 Min: 44 / Avg: 44.53 / Max: 45.58 Min: 44.07 / Avg: 44.93 / Max: 45.44 Min: 44.32 / Avg: 45.38 / Max: 46.55 Min: 42.93 / Avg: 43.23 / Max: 43.4 Min: 44.56 / Avg: 45.19 / Max: 45.52 Min: 45.44 / Avg: 45.77 / Max: 46.36 Min: 52.79 / Avg: 52.82 / Max: 52.84 Min: 45.84 / Avg: 45.9 / Max: 45.97 Min: 44.15 / Avg: 44.38 / Max: 44.66 Min: 52.36 / Avg: 52.79 / Max: 53.48 Min: 44.12 / Avg: 44.69 / Max: 45.37 1. (CC) gcc options: -O3
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.0553 2.1106 3.1659 4.2212 5.2765 SE +/- 0.016, N = 3 SE +/- 0.017, N = 3 SE +/- 0.029, N = 12 SE +/- 0.004, N = 3 SE +/- 0.022, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 15 SE +/- 0.024, N = 15 SE +/- 0.024, N = 3 SE +/- 0.021, N = 15 SE +/- 0.011, N = 3 SE +/- 0.008, N = 3 SE +/- 0.016, N = 3 1.798 2.101 2.606 4.690 1.759 3.137 1.643 1.935 2.697 1.915 2.596 4.145 2.103 1.701 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.77 / Avg: 1.8 / Max: 1.82 Min: 2.07 / Avg: 2.1 / Max: 2.12 Min: 2.42 / Avg: 2.61 / Max: 2.71 Min: 4.68 / Avg: 4.69 / Max: 4.7 Min: 1.73 / Avg: 1.76 / Max: 1.8 Min: 3.13 / Avg: 3.14 / Max: 3.16 Min: 1.63 / Avg: 1.64 / Max: 1.65 Min: 1.84 / Avg: 1.94 / Max: 2.02 Min: 2.5 / Avg: 2.7 / Max: 2.86 Min: 1.87 / Avg: 1.91 / Max: 1.95 Min: 2.49 / Avg: 2.6 / Max: 2.73 Min: 4.13 / Avg: 4.14 / Max: 4.16 Min: 2.09 / Avg: 2.1 / Max: 2.11 Min: 1.68 / Avg: 1.7 / Max: 1.73 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13K 26K 39K 52K 65K SE +/- 486.09, N = 3 SE +/- 387.48, N = 3 SE +/- 447.90, N = 12 SE +/- 18.98, N = 3 SE +/- 709.54, N = 3 SE +/- 91.21, N = 3 SE +/- 229.52, N = 3 SE +/- 406.89, N = 15 SE +/- 337.73, N = 15 SE +/- 676.58, N = 3 SE +/- 309.38, N = 15 SE +/- 63.04, N = 3 SE +/- 174.06, N = 3 SE +/- 539.78, N = 3 55699 47662 38458 21334 56945 31896 60949 51794 37152 52325 38586 24137 47615 58889 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 11K 22K 33K 44K 55K Min: 54882.69 / Avg: 55699.33 / Max: 56564.47 Min: 47265.69 / Avg: 47661.51 / Max: 48436.42 Min: 36956.38 / Avg: 38457.92 / Max: 41415.74 Min: 21301.63 / Avg: 21333.63 / Max: 21367.31 Min: 55594.88 / Avg: 56944.6 / Max: 57999 Min: 31714.82 / Avg: 31895.88 / Max: 32005.63 Min: 60636.54 / Avg: 60949.34 / Max: 61396.7 Min: 49652.94 / Avg: 51793.61 / Max: 54520.15 Min: 35001.56 / Avg: 37152.01 / Max: 39986.56 Min: 51433.97 / Avg: 52325.08 / Max: 53652.51 Min: 36728.54 / Avg: 38586.13 / Max: 40215.78 Min: 24025.48 / Avg: 24137.33 / Max: 24243.66 Min: 47424.2 / Avg: 47614.55 / Max: 47962.14 Min: 57853.09 / Avg: 58888.92 / Max: 59670.2 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20M 40M 60M 80M 100M SE +/- 597478.91, N = 3 SE +/- 304616.08, N = 3 SE +/- 332801.18, N = 6 SE +/- 150250.14, N = 3 SE +/- 82765.80, N = 3 SE +/- 71263.56, N = 3 SE +/- 1212155.43, N = 4 SE +/- 436034.06, N = 15 SE +/- 416432.88, N = 3 SE +/- 88880.09, N = 3 SE +/- 236966.05, N = 10 SE +/- 79798.13, N = 3 SE +/- 708563.50, N = 4 100908453 48804732 32973749 16034994 82397132 24314443 98847469 60864616 39043410 64152929 31246137 19191199 58384026 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Stockfish 12 Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 120K 240K 360K 480K 600K 552076.25 325661.01 271259.26 205655.17 491891.78 246303.77 560733.59 419124.02 179617.03 391203.16 311552.67 162559.29 369416.83
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20M 40M 60M 80M 100M Min: 99825755 / Avg: 100908453 / Max: 101887714 Min: 48420286 / Avg: 48804732.33 / Max: 49406252 Min: 32141990 / Avg: 32973748.83 / Max: 34537511 Min: 15735361 / Avg: 16034994 / Max: 16204568 Min: 82260216 / Avg: 82397132 / Max: 82546157 Min: 24195092 / Avg: 24314443.33 / Max: 24441587 Min: 95322228 / Avg: 98847468.5 / Max: 100858323 Min: 57227030 / Avg: 60864616.13 / Max: 63501145 Min: 38530677 / Avg: 39043410.33 / Max: 39868176 Min: 63992140 / Avg: 64152928.67 / Max: 64298968 Min: 30342075 / Avg: 31246136.8 / Max: 32525396 Min: 19064701 / Avg: 19191199.33 / Max: 19338721 Min: 56735799 / Avg: 58384025.75 / Max: 60090226 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
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 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 214.77 217.55 218.14 226.64 217.90 223.38 219.26 215.16 184.49 214.26 224.52 184.74 217.33 218.42
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.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1100 2200 3300 4400 5500 SE +/- 6.77, N = 3 SE +/- 14.72, N = 3 SE +/- 5.57, N = 3 SE +/- 3.19, N = 3 SE +/- 5.33, N = 3 SE +/- 9.03, N = 3 SE +/- 6.15, N = 3 SE +/- 1.53, N = 3 SE +/- 1.31, N = 3 SE +/- 2.78, N = 3 SE +/- 2.79, N = 3 SE +/- 4.62, N = 3 SE +/- 10.25, N = 3 SE +/- 4.94, N = 3 5170.99 3310.91 3145.89 3071.91 4197.60 3264.49 4731.72 3578.09 2643.39 3276.52 3344.39 2399.19 3757.35 4132.13
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 Min: 5162.09 / Avg: 5170.99 / Max: 5184.28 Min: 3286.85 / Avg: 3310.91 / Max: 3337.63 Min: 3138.42 / Avg: 3145.89 / Max: 3156.77 Min: 3065.98 / Avg: 3071.91 / Max: 3076.9 Min: 4187.64 / Avg: 4197.6 / Max: 4205.86 Min: 3253.32 / Avg: 3264.49 / Max: 3282.36 Min: 4723.88 / Avg: 4731.72 / Max: 4743.85 Min: 3576.1 / Avg: 3578.09 / Max: 3581.09 Min: 2641.61 / Avg: 2643.39 / Max: 2645.95 Min: 3273.17 / Avg: 3276.52 / Max: 3282.04 Min: 3340.81 / Avg: 3344.39 / Max: 3349.89 Min: 2393.6 / Avg: 2399.19 / Max: 2408.36 Min: 3741.86 / Avg: 3757.35 / Max: 3776.73 Min: 4122.78 / Avg: 4132.13 / Max: 4139.56
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.02 3.53 2.51 1.29 5.53 1.81 6.62 4.37 2.99 4.74 2.37 1.66 4.20 5.67
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 6.01 / Avg: 6.02 / Max: 6.03 Min: 3.52 / Avg: 3.53 / Max: 3.56 Min: 2.5 / Avg: 2.51 / Max: 2.52 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 5.51 / Avg: 5.53 / Max: 5.56 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 6.6 / Avg: 6.62 / Max: 6.64 Min: 4.33 / Avg: 4.37 / Max: 4.4 Min: 2.97 / Avg: 2.99 / Max: 3.01 Min: 4.72 / Avg: 4.74 / Max: 4.75 Min: 2.34 / Avg: 2.37 / Max: 2.38 Min: 1.65 / Avg: 1.66 / Max: 1.67 Min: 4.19 / Avg: 4.2 / Max: 4.21 Min: 5.66 / Avg: 5.67 / Max: 5.68
KeyDB A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 90K 180K 270K 360K 450K SE +/- 4507.61, N = 3 SE +/- 3460.73, N = 3 SE +/- 639.41, N = 3 SE +/- 533.37, N = 3 SE +/- 5135.26, N = 3 SE +/- 1365.59, N = 3 SE +/- 4382.81, N = 3 SE +/- 430.27, N = 3 SE +/- 428.23, N = 3 SE +/- 3270.77, N = 3 SE +/- 1079.81, N = 3 SE +/- 183.84, N = 3 SE +/- 2791.26, N = 3 SE +/- 4280.31, N = 3 371448.21 415583.96 405905.78 399110.88 394639.23 418080.47 376241.11 413354.59 433091.73 422944.46 420324.96 424600.07 404313.15 386824.54 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Ops/sec Per Watt
OpenBenchmarking.org Ops/sec Per Watt, More Is Better KeyDB 6.0.16 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1600 3200 4800 6400 8000 3833.65 5903.16 6206.07 7415.88 4838.07 7232.18 4095.78 5856.34 4143.95 6102.85 7158.88 5640.60 4517.76 4228.11
Result Confidence
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80K 160K 240K 320K 400K Min: 362545.96 / Avg: 371448.21 / Max: 377131.41 Min: 412054.17 / Avg: 415583.96 / Max: 422504.97 Min: 404993.42 / Avg: 405905.78 / Max: 407138 Min: 398044.81 / Avg: 399110.88 / Max: 399676.81 Min: 385396.59 / Avg: 394639.23 / Max: 403139.08 Min: 416043.78 / Avg: 418080.47 / Max: 420674.69 Min: 368183.94 / Avg: 376241.11 / Max: 383259.45 Min: 412498.94 / Avg: 413354.59 / Max: 413861.79 Min: 432304.57 / Avg: 433091.73 / Max: 433777.59 Min: 416505.35 / Avg: 422944.46 / Max: 427162.66 Min: 419061.55 / Avg: 420324.96 / Max: 422473.5 Min: 424252.48 / Avg: 424600.07 / Max: 424877.7 Min: 399536.5 / Avg: 404313.15 / Max: 409203.69 Min: 379984.9 / Avg: 386824.54 / Max: 394702.8 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1100 2200 3300 4400 5500 SE +/- 6.37, N = 3 SE +/- 4.18, N = 3 SE +/- 5.33, N = 3 SE +/- 10.38, N = 3 SE +/- 8.65, N = 3 SE +/- 8.60, N = 3 SE +/- 4.63, N = 3 SE +/- 1.62, N = 3 SE +/- 4.58, N = 3 SE +/- 5.09, N = 3 SE +/- 1.17, N = 3 SE +/- 1.90, N = 3 SE +/- 3.83, N = 3 SE +/- 14.85, N = 3 5153.99 3315.63 3155.85 3090.58 4203.81 3265.93 4732.73 3582.56 2649.35 3271.26 3342.13 2409.03 3754.85 4138.69
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 Min: 5142.04 / Avg: 5153.99 / Max: 5163.81 Min: 3309.61 / Avg: 3315.63 / Max: 3323.66 Min: 3145.96 / Avg: 3155.85 / Max: 3164.23 Min: 3072.59 / Avg: 3090.58 / Max: 3108.55 Min: 4186.54 / Avg: 4203.81 / Max: 4213.33 Min: 3248.92 / Avg: 3265.93 / Max: 3276.67 Min: 4726.94 / Avg: 4732.73 / Max: 4741.89 Min: 3579.4 / Avg: 3582.56 / Max: 3584.73 Min: 2640.2 / Avg: 2649.35 / Max: 2654.02 Min: 3264.96 / Avg: 3271.26 / Max: 3281.33 Min: 3339.82 / Avg: 3342.13 / Max: 3343.55 Min: 2405.41 / Avg: 2409.03 / Max: 2411.84 Min: 3748.56 / Avg: 3754.85 / Max: 3761.77 Min: 4119.13 / Avg: 4138.69 / Max: 4167.82
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 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 +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.05 3.51 2.51 1.28 5.53 1.81 6.60 4.36 2.98 4.70 2.38 1.64 4.19 5.67
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 6.03 / Avg: 6.05 / Max: 6.06 Min: 3.5 / Avg: 3.51 / Max: 3.53 Min: 2.5 / Avg: 2.51 / Max: 2.52 Min: 1.27 / Avg: 1.28 / Max: 1.29 Min: 5.52 / Avg: 5.53 / Max: 5.54 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 6.58 / Avg: 6.6 / Max: 6.63 Min: 4.32 / Avg: 4.36 / Max: 4.4 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 4.69 / Avg: 4.7 / Max: 4.72 Min: 2.37 / Avg: 2.38 / Max: 2.39 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 4.18 / Avg: 4.19 / Max: 4.2 Min: 5.66 / Avg: 5.67 / Max: 5.68
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 12.73, N = 3 SE +/- 12.54, N = 3 SE +/- 1.52, N = 3 SE +/- 14.48, N = 3 SE +/- 2.44, N = 3 SE +/- 9.26, N = 3 SE +/- 0.31, N = 3 SE +/- 1.04, N = 3 SE +/- 3.08, N = 3 SE +/- 3.65, N = 3 SE +/- 7.78, N = 3 SE +/- 19.31, N = 3 SE +/- 1.33, N = 3 SE +/- 2.50, N = 3 4029.98 2507.58 2414.74 2298.63 3325.99 2434.17 3562.63 2794.25 1976.70 2579.79 2527.86 1836.51 2815.80 3059.05
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700 1400 2100 2800 3500 Min: 4015.57 / Avg: 4029.98 / Max: 4055.36 Min: 2482.49 / Avg: 2507.58 / Max: 2520.14 Min: 2412.09 / Avg: 2414.74 / Max: 2417.36 Min: 2271.79 / Avg: 2298.63 / Max: 2321.46 Min: 3322.37 / Avg: 3325.99 / Max: 3330.62 Min: 2418.87 / Avg: 2434.17 / Max: 2450.86 Min: 3562.19 / Avg: 3562.63 / Max: 3563.22 Min: 2792.4 / Avg: 2794.25 / Max: 2795.99 Min: 1971.22 / Avg: 1976.7 / Max: 1981.88 Min: 2575.39 / Avg: 2579.79 / Max: 2587.03 Min: 2515.93 / Avg: 2527.86 / Max: 2542.47 Min: 1797.95 / Avg: 1836.51 / Max: 1857.52 Min: 2813.23 / Avg: 2815.8 / Max: 2817.7 Min: 3056.48 / Avg: 3059.05 / Max: 3064.04
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 7.88 4.76 3.31 1.75 7.20 2.47 8.97 5.73 4.04 6.17 3.16 2.16 5.68 7.81
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 7.84 / Avg: 7.88 / Max: 7.9 Min: 4.74 / Avg: 4.76 / Max: 4.8 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 1.72 / Avg: 1.75 / Max: 1.76 Min: 7.19 / Avg: 7.2 / Max: 7.22 Min: 2.45 / Avg: 2.47 / Max: 2.48 Min: 8.97 / Avg: 8.97 / Max: 8.97 Min: 5.73 / Avg: 5.73 / Max: 5.73 Min: 4.02 / Avg: 4.04 / Max: 4.07 Min: 6.13 / Avg: 6.17 / Max: 6.19 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 2.14 / Avg: 2.16 / Max: 2.2 Min: 5.67 / Avg: 5.68 / Max: 5.68 Min: 7.8 / Avg: 7.81 / Max: 7.83
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 8.92, N = 3 SE +/- 3.50, N = 3 SE +/- 2.67, N = 3 SE +/- 17.95, N = 3 SE +/- 3.41, N = 3 SE +/- 34.12, N = 3 SE +/- 0.45, N = 3 SE +/- 0.81, N = 3 SE +/- 1.86, N = 3 SE +/- 2.29, N = 3 SE +/- 13.37, N = 3 SE +/- 14.55, N = 3 SE +/- 2.24, N = 3 SE +/- 1.92, N = 3 4030.53 2522.61 2413.45 2314.66 3327.50 2406.22 3558.09 2791.54 1980.56 2572.36 2446.02 1844.31 2814.15 3069.38
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700 1400 2100 2800 3500 Min: 4020.18 / Avg: 4030.53 / Max: 4048.29 Min: 2516.2 / Avg: 2522.61 / Max: 2528.27 Min: 2410.34 / Avg: 2413.45 / Max: 2418.77 Min: 2283.58 / Avg: 2314.66 / Max: 2345.75 Min: 3322.21 / Avg: 3327.5 / Max: 3333.86 Min: 2355.5 / Avg: 2406.22 / Max: 2471.13 Min: 3557.24 / Avg: 3558.09 / Max: 3558.76 Min: 2789.93 / Avg: 2791.54 / Max: 2792.44 Min: 1978.38 / Avg: 1980.56 / Max: 1984.26 Min: 2567.84 / Avg: 2572.36 / Max: 2575.2 Min: 2426.14 / Avg: 2446.02 / Max: 2471.46 Min: 1815.75 / Avg: 1844.31 / Max: 1863.4 Min: 2809.91 / Avg: 2814.15 / Max: 2817.55 Min: 3065.61 / Avg: 3069.38 / Max: 3071.93
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.03, 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 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.88 4.73 3.32 1.74 7.22 2.47 8.98 5.72 4.02 6.13 3.23 2.16 5.68 7.79
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 7.84 / Avg: 7.88 / Max: 7.9 Min: 4.68 / Avg: 4.73 / Max: 4.79 Min: 3.31 / Avg: 3.32 / Max: 3.32 Min: 1.71 / Avg: 1.74 / Max: 1.76 Min: 7.19 / Avg: 7.22 / Max: 7.24 Min: 2.44 / Avg: 2.47 / Max: 2.5 Min: 8.97 / Avg: 8.98 / Max: 9.01 Min: 5.7 / Avg: 5.72 / Max: 5.74 Min: 4.02 / Avg: 4.02 / Max: 4.03 Min: 6.03 / Avg: 6.13 / Max: 6.19 Min: 3.2 / Avg: 3.23 / Max: 3.25 Min: 2.14 / Avg: 2.16 / Max: 2.18 Min: 5.67 / Avg: 5.68 / Max: 5.69 Min: 7.78 / Avg: 7.79 / Max: 7.81
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Unkeyed Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 70 140 210 280 350 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.25, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.93, N = 3 298.73 298.49 294.44 286.19 293.88 286.18 293.81 298.71 342.93 302.93 285.25 343.61 294.27 292.60 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
MiB/second Per Watt
OpenBenchmarking.org MiB/second Per Watt, More Is Better Crypto++ 8.2 Test: Unkeyed Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 4.29 6.18 5.98 7.09 5.14 7.01 4.31 6.13 4.76 6.26 6.83 6.50 4.26 4.52
Result Confidence
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Unkeyed Algorithms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 Min: 298.7 / Avg: 298.73 / Max: 298.75 Min: 298.33 / Avg: 298.49 / Max: 298.7 Min: 294.21 / Avg: 294.44 / Max: 294.59 Min: 285.95 / Avg: 286.19 / Max: 286.43 Min: 293.7 / Avg: 293.88 / Max: 294.04 Min: 286.01 / Avg: 286.18 / Max: 286.52 Min: 293.61 / Avg: 293.81 / Max: 294.16 Min: 298.57 / Avg: 298.71 / Max: 298.93 Min: 342.6 / Avg: 342.93 / Max: 343.11 Min: 302.75 / Avg: 302.93 / Max: 303.14 Min: 284.78 / Avg: 285.25 / Max: 285.61 Min: 343.56 / Avg: 343.61 / Max: 343.68 Min: 294.13 / Avg: 294.27 / Max: 294.49 Min: 290.74 / Avg: 292.6 / Max: 293.53 1. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50M 100M 150M 200M 250M SE +/- 2628540.04, N = 3 SE +/- 701112.41, N = 3 SE +/- 731623.27, N = 6 SE +/- 468827.18, N = 3 SE +/- 1503518.94, N = 3 SE +/- 532212.35, N = 3 SE +/- 1573991.80, N = 3 SE +/- 298644.62, N = 3 SE +/- 33050.19, N = 3 SE +/- 979987.31, N = 3 SE +/- 860580.20, N = 3 SE +/- 173513.15, N = 3 SE +/- 577476.24, N = 3 SE +/- 1627088.40, N = 3 218469824 114391434 76972090 39206156 185095008 56928967 214717760 139338056 93883130 147488280 74816560 48331735 133038550 185712982 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 6.3.6 Test: Random Read EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K 1144599.80 752967.14 623360.93 482400.32 1055932.79 561814.90 1165531.87 931173.20 405107.75 861998.88 744401.17 383902.17 820332.86 966385.49
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40M 80M 120M 160M 200M Min: 213921113 / Avg: 218469824.33 / Max: 223026632 Min: 112997116 / Avg: 114391434.33 / Max: 115217369 Min: 75222240 / Avg: 76972090.17 / Max: 79656987 Min: 38308495 / Avg: 39206155.67 / Max: 39889615 Min: 182409655 / Avg: 185095007.67 / Max: 187609592 Min: 55956147 / Avg: 56928967.33 / Max: 57789497 Min: 211571907 / Avg: 214717760.33 / Max: 216390965 Min: 138995330 / Avg: 139338056 / Max: 139933058 Min: 93839853 / Avg: 93883129.67 / Max: 93948038 Min: 146389489 / Avg: 147488280.33 / Max: 149443243 Min: 73275140 / Avg: 74816560.33 / Max: 76250454 Min: 48063107 / Avg: 48331734.67 / Max: 48656311 Min: 131941123 / Avg: 133038549.67 / Max: 133898996 Min: 182486843 / Avg: 185712982.33 / Max: 187695198 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -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.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.2745 0.549 0.8235 1.098 1.3725 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.22 0.88 0.84 0.96 0.99 0.87 1.07 0.84 0.79 0.77 0.79 0.78 0.95 1.02
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 0.87 / Avg: 0.88 / Max: 0.91 Min: 0.83 / Avg: 0.84 / Max: 0.84 Min: 0.94 / Avg: 0.96 / Max: 0.99 Min: 0.98 / Avg: 0.99 / Max: 0.99 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 1.06 / Avg: 1.07 / Max: 1.07 Min: 0.83 / Avg: 0.84 / Max: 0.84 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 0.77 / Avg: 0.77 / Max: 0.78 Min: 0.77 / Avg: 0.79 / Max: 0.81 Min: 0.78 / Avg: 0.78 / Max: 0.79 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 1.01 / Avg: 1.02 / Max: 1.02
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6K 12K 18K 24K 30K SE +/- 48.27, N = 3 SE +/- 157.24, N = 3 SE +/- 6.65, N = 3 SE +/- 46.05, N = 4 SE +/- 49.13, N = 3 SE +/- 21.76, N = 3 SE +/- 30.27, N = 3 SE +/- 60.57, N = 3 SE +/- 47.83, N = 3 SE +/- 75.75, N = 3 SE +/- 103.67, N = 4 SE +/- 6.26, N = 3 SE +/- 24.60, N = 3 SE +/- 4.60, N = 3 25012.98 13220.95 9314.82 4115.44 23559.17 6803.09 28316.50 18514.60 9866.08 19958.41 9884.62 4984.35 16443.73 22996.93
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K Min: 24963.18 / Avg: 25012.98 / Max: 25109.5 Min: 12906.62 / Avg: 13220.95 / Max: 13386.45 Min: 9307.85 / Avg: 9314.82 / Max: 9328.12 Min: 4003.8 / Avg: 4115.44 / Max: 4226.83 Min: 23467.34 / Avg: 23559.17 / Max: 23635.37 Min: 6767.48 / Avg: 6803.09 / Max: 6842.56 Min: 28279.61 / Avg: 28316.5 / Max: 28376.51 Min: 18416.86 / Avg: 18514.6 / Max: 18625.46 Min: 9816.8 / Avg: 9866.08 / Max: 9961.72 Min: 19820.95 / Avg: 19958.41 / Max: 20082.32 Min: 9618.02 / Avg: 9884.62 / Max: 10112.13 Min: 4971.91 / Avg: 4984.35 / Max: 4991.8 Min: 16395.26 / Avg: 16443.73 / Max: 16475.33 Min: 22990.44 / Avg: 22996.93 / Max: 23005.82
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.020, N = 3 8.811 4.494 3.129 1.456 7.555 2.289 8.898 5.477 3.461 5.950 2.932 1.808 5.415 7.596
M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0113 0.0226 0.0339 0.0452 0.0565 0.05 0.03 0.03 0.02 0.04 0.02 0.05 0.04 0.02 0.03 0.03 0.02 0.03 0.04
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 8.8 / Avg: 8.81 / Max: 8.82 Min: 4.48 / Avg: 4.49 / Max: 4.51 Min: 3.12 / Avg: 3.13 / Max: 3.14 Min: 1.45 / Avg: 1.46 / Max: 1.46 Min: 7.54 / Avg: 7.56 / Max: 7.57 Min: 2.29 / Avg: 2.29 / Max: 2.29 Min: 8.88 / Avg: 8.9 / Max: 8.93 Min: 5.47 / Avg: 5.48 / Max: 5.49 Min: 3.46 / Avg: 3.46 / Max: 3.47 Min: 5.95 / Avg: 5.95 / Max: 5.96 Min: 2.93 / Avg: 2.93 / Max: 2.93 Min: 1.8 / Avg: 1.81 / Max: 1.81 Min: 5.4 / Avg: 5.42 / Max: 5.43 Min: 7.57 / Avg: 7.6 / Max: 7.64
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.26, N = 7 SE +/- 0.47, N = 4 SE +/- 0.65, N = 4 SE +/- 0.42, N = 3 SE +/- 0.30, N = 6 SE +/- 0.59, N = 3 SE +/- 0.28, N = 6 SE +/- 0.42, N = 4 SE +/- 0.43, N = 3 SE +/- 0.41, N = 4 SE +/- 0.75, N = 3 SE +/- 0.46, N = 3 SE +/- 0.42, N = 4 SE +/- 0.30, N = 6 28.13 41.50 53.40 101.09 30.21 69.61 27.98 36.39 46.91 34.55 57.91 79.66 36.85 30.08
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 27.79 / Avg: 28.13 / Max: 29.66 Min: 40.71 / Avg: 41.5 / Max: 42.85 Min: 52.39 / Avg: 53.4 / Max: 55.3 Min: 100.61 / Avg: 101.09 / Max: 101.92 Min: 29.87 / Avg: 30.21 / Max: 31.71 Min: 68.52 / Avg: 69.61 / Max: 70.53 Min: 27.59 / Avg: 27.98 / Max: 29.37 Min: 35.93 / Avg: 36.39 / Max: 37.65 Min: 46.21 / Avg: 46.91 / Max: 47.7 Min: 34.07 / Avg: 34.55 / Max: 35.78 Min: 56.64 / Avg: 57.91 / Max: 59.25 Min: 79.06 / Avg: 79.66 / Max: 80.57 Min: 36.38 / Avg: 36.85 / Max: 38.1 Min: 29.67 / Avg: 30.08 / Max: 31.58
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.043, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.038, N = 3 SE +/- 0.010, N = 3 SE +/- 0.063, N = 3 SE +/- 0.031, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.016, N = 3 SE +/- 0.035, N = 3 19.095 9.630 6.575 3.117 15.984 4.855 19.062 11.854 7.684 12.738 6.214 3.883 11.531 16.230
M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0225 0.045 0.0675 0.09 0.1125 0.10 0.06 0.05 0.04 0.09 0.05 0.10 0.08 0.03 0.08 0.06 0.03 0.07 0.09
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 19.02 / Avg: 19.1 / Max: 19.16 Min: 9.6 / Avg: 9.63 / Max: 9.65 Min: 6.57 / Avg: 6.58 / Max: 6.59 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 15.93 / Avg: 15.98 / Max: 16.06 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 18.94 / Avg: 19.06 / Max: 19.14 Min: 11.8 / Avg: 11.85 / Max: 11.9 Min: 7.67 / Avg: 7.68 / Max: 7.71 Min: 12.72 / Avg: 12.74 / Max: 12.75 Min: 6.21 / Avg: 6.21 / Max: 6.22 Min: 3.88 / Avg: 3.88 / Max: 3.89 Min: 11.52 / Avg: 11.53 / Max: 11.56 Min: 16.18 / Avg: 16.23 / Max: 16.3
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 7.04 3.83 2.68 1.38 6.13 1.98 7.21 4.65 3.27 5.03 2.53 1.68 4.54 6.19 MIN: 6.88 / MAX: 7.39 MIN: 3.74 / MAX: 4.01 MIN: 2.58 / MAX: 2.77 MIN: 1.34 / MAX: 1.42 MIN: 5.97 / MAX: 6.57 MIN: 1.91 / MAX: 2.03 MIN: 7.03 / MAX: 7.62 MIN: 4.49 / MAX: 5.07 MIN: 3.18 / MAX: 3.41 MIN: 4.8 / MAX: 5.35 MIN: 2.46 / MAX: 2.62 MIN: 1.61 / MAX: 1.72 MIN: 4.38 / MAX: 4.8 MIN: 6.04 / MAX: 6.75
M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.3 Scene: DLSC EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.009 0.018 0.027 0.036 0.045 0.04 0.03 0.02 0.02 0.04 0.02 0.04 0.03 0.01 0.03 0.03 0.01 0.03 0.03
Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 6.98 / Avg: 7.04 / Max: 7.07 Min: 3.81 / Avg: 3.83 / Max: 3.84 Min: 2.66 / Avg: 2.68 / Max: 2.71 Min: 1.37 / Avg: 1.38 / Max: 1.39 Min: 6.07 / Avg: 6.13 / Max: 6.22 Min: 1.97 / Avg: 1.98 / Max: 1.99 Min: 7.13 / Avg: 7.21 / Max: 7.27 Min: 4.58 / Avg: 4.65 / Max: 4.76 Min: 3.26 / Avg: 3.27 / Max: 3.29 Min: 4.96 / Avg: 5.03 / Max: 5.09 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 1.66 / Avg: 1.68 / Max: 1.69 Min: 4.47 / Avg: 4.54 / Max: 4.64 Min: 6.14 / Avg: 6.19 / Max: 6.26
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 7.82 4.17 2.91 1.50 6.75 2.14 7.92 5.04 3.57 5.54 2.74 1.84 4.92 6.81 MIN: 7.53 / MAX: 7.98 MIN: 4.11 / MAX: 4.26 MIN: 2.88 / MAX: 2.96 MIN: 1.48 / MAX: 1.54 MIN: 6.64 / MAX: 6.79 MIN: 2.08 / MAX: 2.17 MIN: 7.72 / MAX: 8.01 MIN: 4.94 / MAX: 5.12 MIN: 3.48 / MAX: 3.63 MIN: 5.5 / MAX: 5.57 MIN: 2.69 / MAX: 2.78 MIN: 1.81 / MAX: 1.92 MIN: 4.81 / MAX: 5.05 MIN: 6.61 / MAX: 6.89
M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.009 0.018 0.027 0.036 0.045 0.04 0.03 0.02 0.02 0.04 0.02 0.04 0.03 0.02 0.03 0.03 0.01 0.03 0.04
Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 7.71 / Avg: 7.82 / Max: 7.94 Min: 4.11 / Avg: 4.17 / Max: 4.22 Min: 2.89 / Avg: 2.91 / Max: 2.95 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 6.73 / Avg: 6.75 / Max: 6.78 Min: 2.12 / Avg: 2.14 / Max: 2.15 Min: 7.83 / Avg: 7.92 / Max: 7.98 Min: 4.94 / Avg: 5.04 / Max: 5.12 Min: 3.53 / Avg: 3.57 / Max: 3.6 Min: 5.52 / Avg: 5.54 / Max: 5.55 Min: 2.73 / Avg: 2.74 / Max: 2.76 Min: 1.83 / Avg: 1.84 / Max: 1.87 Min: 4.81 / Avg: 4.92 / Max: 5.01 Min: 6.71 / Avg: 6.81 / Max: 6.88
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 14.94 11.22 9.15 4.72 15.50 6.49 16.44 13.97 10.66 14.94 8.61 5.73 13.65 15.94 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0225 0.045 0.0675 0.09 0.1125 0.09 0.08 0.08 0.06 0.10 0.07 0.10 0.10 0.05 0.09 0.09 0.05 0.09 0.09
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 14.93 / Avg: 14.94 / Max: 14.97 Min: 11.18 / Avg: 11.22 / Max: 11.24 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 4.72 / Avg: 4.72 / Max: 4.73 Min: 15.49 / Avg: 15.5 / Max: 15.51 Min: 6.48 / Avg: 6.49 / Max: 6.49 Min: 16.42 / Avg: 16.44 / Max: 16.48 Min: 13.95 / Avg: 13.97 / Max: 13.98 Min: 10.64 / Avg: 10.66 / Max: 10.69 Min: 14.93 / Avg: 14.94 / Max: 14.95 Min: 8.58 / Avg: 8.61 / Max: 8.63 Min: 5.71 / Avg: 5.73 / Max: 5.74 Min: 13.61 / Avg: 13.65 / Max: 13.67 Min: 15.92 / Avg: 15.94 / Max: 15.97 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50K 100K 150K 200K 250K SE +/- 39.50, N = 3 SE +/- 6.99, N = 3 SE +/- 25.85, N = 3 SE +/- 202.36, N = 3 SE +/- 74.34, N = 3 SE +/- 82.39, N = 3 SE +/- 174.48, N = 3 SE +/- 126.18, N = 3 SE +/- 132.22, N = 3 SE +/- 77.46, N = 3 SE +/- 38.26, N = 3 SE +/- 44.74, N = 3 SE +/- 39.58, N = 3 SE +/- 111.10, N = 3 61679.6 93404.1 123947.0 242480.0 68430.4 173807.0 56195.5 75080.0 107391.0 70622.9 129293.0 201258.0 77264.7 65104.4
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40K 80K 120K 160K 200K Min: 61602.1 / Avg: 61679.57 / Max: 61731.7 Min: 93391.7 / Avg: 93404.1 / Max: 93415.9 Min: 123895 / Avg: 123946.67 / Max: 123974 Min: 242075 / Avg: 242479.67 / Max: 242688 Min: 68340.5 / Avg: 68430.4 / Max: 68577.9 Min: 173701 / Avg: 173806.67 / Max: 173969 Min: 55903.9 / Avg: 56195.5 / Max: 56507.3 Min: 74862.2 / Avg: 75080 / Max: 75299.3 Min: 107127 / Avg: 107390.67 / Max: 107540 Min: 70510.4 / Avg: 70622.9 / Max: 70771.4 Min: 129222 / Avg: 129293.33 / Max: 129353 Min: 201180 / Avg: 201257.67 / Max: 201335 Min: 77193.3 / Avg: 77264.7 / Max: 77330 Min: 64904.3 / Avg: 65104.43 / Max: 65288.1
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K SE +/- 280.28, N = 3 SE +/- 193.63, N = 3 SE +/- 21.22, N = 3 SE +/- 22.85, N = 3 SE +/- 194.69, N = 3 SE +/- 107.22, N = 3 SE +/- 187.50, N = 3 SE +/- 76.82, N = 3 SE +/- 13.80, N = 3 SE +/- 86.41, N = 3 SE +/- 63.38, N = 3 SE +/- 599.00, N = 3 SE +/- 28.71, N = 3 SE +/- 322.42, N = 3 35037.4 61419.9 80320.5 160713.0 48507.4 117060.0 32085.5 47083.4 68637.6 43977.9 84723.5 133236.0 48084.7 45436.6
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K Min: 34603.7 / Avg: 35037.37 / Max: 35561.8 Min: 61061.3 / Avg: 61419.9 / Max: 61725.8 Min: 80284 / Avg: 80320.5 / Max: 80357.5 Min: 160685 / Avg: 160712.67 / Max: 160758 Min: 48205.1 / Avg: 48507.43 / Max: 48871.1 Min: 116941 / Avg: 117060 / Max: 117274 Min: 31772.4 / Avg: 32085.53 / Max: 32420.8 Min: 46946.3 / Avg: 47083.37 / Max: 47212 Min: 68610.2 / Avg: 68637.6 / Max: 68654.2 Min: 43815.4 / Avg: 43977.87 / Max: 44110.1 Min: 84636.8 / Avg: 84723.47 / Max: 84846.9 Min: 132636 / Avg: 133236 / Max: 134434 Min: 48044.8 / Avg: 48084.67 / Max: 48140.4 Min: 44937.4 / Avg: 45436.6 / Max: 46039.7
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40K 80K 120K 160K 200K SE +/- 118.11, N = 3 SE +/- 40.77, N = 3 SE +/- 15.21, N = 3 SE +/- 20.79, N = 3 SE +/- 518.49, N = 3 SE +/- 28.48, N = 3 SE +/- 61.64, N = 3 SE +/- 44.27, N = 3 SE +/- 61.58, N = 3 SE +/- 72.07, N = 3 SE +/- 47.75, N = 3 SE +/- 13.05, N = 3 SE +/- 69.37, N = 3 SE +/- 392.20, N = 3 36468.8 62904.1 82490.4 165426.0 50401.8 120119.0 33024.0 47911.7 70154.5 45118.1 86277.6 136023.0 49078.5 45818.8
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K Min: 36258.5 / Avg: 36468.83 / Max: 36667.1 Min: 62851.8 / Avg: 62904.07 / Max: 62984.4 Min: 82465 / Avg: 82490.43 / Max: 82517.6 Min: 165394 / Avg: 165426 / Max: 165465 Min: 49377.6 / Avg: 50401.83 / Max: 51054.3 Min: 120062 / Avg: 120118.67 / Max: 120152 Min: 32924.1 / Avg: 33024 / Max: 33136.5 Min: 47856.7 / Avg: 47911.7 / Max: 47999.3 Min: 70069.3 / Avg: 70154.47 / Max: 70274.1 Min: 45013.3 / Avg: 45118.1 / Max: 45256.2 Min: 86198 / Avg: 86277.57 / Max: 86363.1 Min: 135998 / Avg: 136023 / Max: 136042 Min: 48987 / Avg: 49078.53 / Max: 49214.6 Min: 45327.1 / Avg: 45818.77 / Max: 46593.9
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 70K 140K 210K 280K 350K SE +/- 166.32, N = 3 SE +/- 607.97, N = 3 SE +/- 204.78, N = 3 SE +/- 749.32, N = 3 SE +/- 223.01, N = 3 SE +/- 735.95, N = 3 SE +/- 219.22, N = 3 SE +/- 436.15, N = 3 SE +/- 344.84, N = 3 SE +/- 203.74, N = 3 SE +/- 175.05, N = 3 SE +/- 622.13, N = 3 SE +/- 768.33, N = 3 287115 216427 163248 94371 331300 131583 333412 259353 172585 258759 163535 100843 253689 331791 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700 1400 2100 2800 3500 2752.63 3035.68 2693.49 2127.71 3130.89 2715.04 2353.30 3252.08 1704.39 3314.42 3041.80 1654.28 2535.97 2741.84
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60K 120K 180K 240K 300K Min: 286867 / Avg: 287115 / Max: 287431 Min: 215402 / Avg: 216427 / Max: 217506 Min: 93963 / Avg: 94371 / Max: 94606 Min: 329808 / Avg: 331300 / Max: 332168 Min: 131216 / Avg: 131583 / Max: 131986 Min: 332027 / Avg: 333412 / Max: 334536 Min: 259071 / Avg: 259353.33 / Max: 259785 Min: 171773 / Avg: 172585 / Max: 173267 Min: 258263 / Avg: 258759 / Max: 259422 Min: 163163 / Avg: 163535 / Max: 163865 Min: 100631 / Avg: 100842.67 / Max: 101190 Min: 252478 / Avg: 253689 / Max: 254542 Min: 330767 / Avg: 331790.67 / Max: 333295 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900K 1800K 2700K 3600K 4500K SE +/- 1452.97, N = 3 SE +/- 2603.42, N = 3 SE +/- 798.79, N = 3 SE +/- 881.92, N = 3 SE +/- 881.92, N = 3 SE +/- 3282.95, N = 3 SE +/- 2185.81, N = 3 SE +/- 1763.83, N = 3 SE +/- 2905.93, N = 3 SE +/- 2000.00, N = 3 SE +/- 525.27, N = 3 SE +/- 1527.53, N = 3 SE +/- 881.92, N = 3 4183000 2127333 1460333 717175 3528667 1072333 4195333 2596333 1731667 2798667 1354000 874700 2534000 3557667 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
Real C/S Per Watt
OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K 22232.88 13762.68 11851.02 9459.27 20367.12 10769.05 22927.63 17709.04 7625.61 16435.49 13466.23 7334.16 15619.65 18839.03
Result Confidence
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700K 1400K 2100K 2800K 3500K Min: 2125000 / Avg: 2127333.33 / Max: 2130000 Min: 1456000 / Avg: 1460333.33 / Max: 1465000 Min: 716134 / Avg: 717175 / Max: 718745 Min: 3527000 / Avg: 3528666.67 / Max: 3530000 Min: 1071000 / Avg: 1072333.33 / Max: 1074000 Min: 4189000 / Avg: 4195333.33 / Max: 4200000 Min: 2592000 / Avg: 2596333.33 / Max: 2599000 Min: 1729000 / Avg: 1731666.67 / Max: 1735000 Min: 2794000 / Avg: 2798666.67 / Max: 2804000 Min: 1352000 / Avg: 1354000 / Max: 1358000 Min: 873984 / Avg: 874700.33 / Max: 875724 Min: 2531000 / Avg: 2534000 / Max: 2536000 Min: 3556000 / Avg: 3557666.67 / Max: 3559000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0855 0.171 0.2565 0.342 0.4275 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.33 0.33 0.33 0.31 0.32 0.32 0.32 0.33 0.38 0.33 0.32 0.38 0.32 0.32 1. (CXX) g++ options: -O3 -pthread
GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
Result Confidence
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1 2 3 4 5 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.31 / Avg: 0.32 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.31 / Avg: 0.32 / Max: 0.32 Min: 0.38 / Avg: 0.38 / Max: 0.39 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.33 1. (CXX) g++ options: -O3 -pthread
rav1e Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.2619 0.5238 0.7857 1.0476 1.3095 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.005 1.009 0.997 0.965 0.992 0.972 0.993 1.006 1.156 1.024 0.969 1.164 0.999 0.989
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.4 Speed: 5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0045 0.009 0.0135 0.018 0.0225 0.01 0.02 0.02 0.02 0.02 0.02 0.01 0.02 0.01 0.02 0.02 0.02 0.01 0.01
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1 / Avg: 1.01 / Max: 1.01 Min: 1.01 / Avg: 1.01 / Max: 1.01 Min: 0.99 / Avg: 1 / Max: 1 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 0.99 / Avg: 0.99 / Max: 1 Min: 0.97 / Avg: 0.97 / Max: 0.97 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 1 / Avg: 1.01 / Max: 1.01 Min: 1.15 / Avg: 1.16 / Max: 1.16 Min: 1.02 / Avg: 1.02 / Max: 1.03 Min: 0.97 / Avg: 0.97 / Max: 0.97 Min: 1.16 / Avg: 1.16 / Max: 1.17 Min: 1 / Avg: 1 / Max: 1 Min: 0.99 / Avg: 0.99 / Max: 0.99
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Repo OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 11K 22K 33K 44K 55K SE +/- 45.54, N = 3 SE +/- 17.38, N = 3 SE +/- 383.79, N = 3 SE +/- 275.73, N = 3 SE +/- 241.95, N = 3 SE +/- 108.67, N = 3 SE +/- 71.36, N = 3 SE +/- 71.59, N = 3 SE +/- 174.69, N = 3 SE +/- 84.26, N = 3 SE +/- 109.50, N = 3 SE +/- 107.65, N = 3 SE +/- 133.22, N = 3 51015.87 50474.70 51629.10 53237.68 51630.50 52936.98 51437.79 50609.04 43527.28 50076.27 52977.60 43548.63 51428.89 1. (CXX) g++ options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Repo OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 9K 18K 27K 36K 45K Min: 50939.99 / Avg: 51015.87 / Max: 51097.43 Min: 50450.23 / Avg: 50474.7 / Max: 50508.32 Min: 51241.3 / Avg: 51629.1 / Max: 52396.66 Min: 52860.58 / Avg: 53237.68 / Max: 53774.7 Min: 51347.45 / Avg: 51630.5 / Max: 52111.92 Min: 52784.59 / Avg: 52936.98 / Max: 53147.39 Min: 51363.7 / Avg: 51437.79 / Max: 51580.48 Min: 50528.84 / Avg: 50609.04 / Max: 50751.85 Min: 43324.05 / Avg: 43527.28 / Max: 43875.02 Min: 49985.34 / Avg: 50076.27 / Max: 50244.61 Min: 52852.14 / Avg: 52977.6 / Max: 53195.79 Min: 43343.38 / Avg: 43548.63 / Max: 43707.56 Min: 51271.63 / Avg: 51428.89 / Max: 51693.79 1. (CXX) g++ options: -O3 -march=native -fopenmp
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.59, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 56.03 53.93 58.51 72.47 54.49 62.76 55.04 52.74 53.15 52.13 61.54 62.24 54.77 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 14 28 42 56 70 Min: 55.95 / Avg: 56.03 / Max: 56.09 Min: 53.88 / Avg: 53.93 / Max: 54 Min: 58.49 / Avg: 58.51 / Max: 58.52 Min: 72.44 / Avg: 72.47 / Max: 72.51 Min: 54.34 / Avg: 54.49 / Max: 54.59 Min: 62.66 / Avg: 62.76 / Max: 62.82 Min: 55.03 / Avg: 55.04 / Max: 55.06 Min: 52.69 / Avg: 52.74 / Max: 52.79 Min: 52.9 / Avg: 53.15 / Max: 53.28 Min: 52.04 / Avg: 52.12 / Max: 52.19 Min: 60.92 / Avg: 61.54 / Max: 62.73 Min: 62.13 / Avg: 62.24 / Max: 62.4 Min: 54.71 / Avg: 54.77 / Max: 54.89 1. RawTherapee, version 5.8, command line.
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.
Result
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.6132 1.2264 1.8396 2.4528 3.066 SE +/- 0.00053, N = 3 SE +/- 0.00125, N = 3 SE +/- 0.00048, N = 3 SE +/- 0.00080, N = 3 SE +/- 0.00037, N = 3 SE +/- 0.00045, N = 3 SE +/- 0.00014, N = 3 SE +/- 0.00041, N = 3 SE +/- 0.00173, N = 3 SE +/- 0.00071, N = 3 SE +/- 0.00125, N = 3 SE +/- 0.00063, N = 3 SE +/- 0.00074, N = 3 SE +/- 0.00034, N = 3 0.49264 0.93705 1.35058 2.72553 0.57484 1.83895 0.48908 0.77439 1.14375 0.71549 1.45145 2.22949 0.79079 0.57048
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 2.72 / Avg: 2.73 / Max: 2.73 Min: 0.57 / Avg: 0.57 / Max: 0.58 Min: 1.84 / Avg: 1.84 / Max: 1.84 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.77 / Avg: 0.77 / Max: 0.78 Min: 1.14 / Avg: 1.14 / Max: 1.15 Min: 0.71 / Avg: 0.72 / Max: 0.72 Min: 1.45 / Avg: 1.45 / Max: 1.45 Min: 2.23 / Avg: 2.23 / Max: 2.23 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.57 / Avg: 0.57 / Max: 0.57
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.28, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.52, N = 3 SE +/- 0.45, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.58, N = 3 70.11 72.68 73.17 72.99 70.72 73.79 70.67 72.21 71.67 72.13 74.99 69.51 71.56 70.17
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 14 28 42 56 70 Min: 69.57 / Avg: 70.11 / Max: 70.51 Min: 72.4 / Avg: 72.68 / Max: 73.08 Min: 72.74 / Avg: 73.17 / Max: 73.46 Min: 72.82 / Avg: 72.99 / Max: 73.3 Min: 70.48 / Avg: 70.72 / Max: 70.91 Min: 73.4 / Avg: 73.79 / Max: 74.01 Min: 70.52 / Avg: 70.67 / Max: 70.87 Min: 71.26 / Avg: 72.21 / Max: 73.03 Min: 70.79 / Avg: 71.67 / Max: 72.23 Min: 71.89 / Avg: 72.13 / Max: 72.38 Min: 74.85 / Avg: 74.99 / Max: 75.07 Min: 69.32 / Avg: 69.51 / Max: 69.77 Min: 71.46 / Avg: 71.56 / Max: 71.73 Min: 69.04 / Avg: 70.17 / Max: 70.95
MBW This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 8192 MiB EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K SE +/- 67.71, N = 3 SE +/- 93.82, N = 3 SE +/- 60.36, N = 3 SE +/- 33.58, N = 3 SE +/- 23.45, N = 3 SE +/- 85.10, N = 3 SE +/- 2.47, N = 3 SE +/- 83.23, N = 3 SE +/- 1.29, N = 3 SE +/- 24.53, N = 3 SE +/- 87.56, N = 3 SE +/- 4.94, N = 3 SE +/- 36.28, N = 3 15599.90 15510.92 15480.29 15523.14 15459.16 15482.71 15616.90 15621.64 14958.19 15641.09 15482.74 15666.70 15503.05 1. (CC) gcc options: -O3 -march=native
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 8192 MiB EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 70 140 210 280 350 192.02 268.62 266.51 315.08 230.35 311.47 201.36 269.18 182.44 272.57 306.50 248.71 194.18
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 8192 MiB EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K Min: 15488.47 / Avg: 15599.9 / Max: 15722.26 Min: 15344.4 / Avg: 15510.92 / Max: 15669.08 Min: 15391.63 / Avg: 15480.29 / Max: 15595.56 Min: 15473.92 / Avg: 15523.14 / Max: 15587.31 Min: 15413.52 / Avg: 15459.16 / Max: 15491.31 Min: 15312.58 / Avg: 15482.71 / Max: 15571.59 Min: 15613.31 / Avg: 15616.9 / Max: 15621.62 Min: 15473.05 / Avg: 15621.64 / Max: 15760.91 Min: 14955.9 / Avg: 14958.19 / Max: 14960.35 Min: 15608.52 / Avg: 15641.09 / Max: 15689.15 Min: 15323.81 / Avg: 15482.73 / Max: 15625.9 Min: 15657.32 / Avg: 15666.7 / Max: 15674.1 Min: 15458.28 / Avg: 15503.05 / Max: 15574.89 1. (CC) gcc options: -O3 -march=native
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 SE +/- 0.05, N = 3 54.10 55.14 57.18 64.83 54.98 60.10 54.82 54.57 49.34 53.93 58.64 53.65 55.59 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 13 26 39 52 65 Min: 54.02 / Avg: 54.1 / Max: 54.23 Min: 55.12 / Avg: 55.14 / Max: 55.16 Min: 57.13 / Avg: 57.18 / Max: 57.25 Min: 64.68 / Avg: 64.83 / Max: 65.09 Min: 54.94 / Avg: 54.98 / Max: 55.01 Min: 60.03 / Avg: 60.1 / Max: 60.17 Min: 54.77 / Avg: 54.82 / Max: 54.86 Min: 54.42 / Avg: 54.57 / Max: 54.65 Min: 49.28 / Avg: 49.34 / Max: 49.38 Min: 53.83 / Avg: 53.93 / Max: 54.01 Min: 58.62 / Avg: 58.64 / Max: 58.66 Min: 53.23 / Avg: 53.65 / Max: 54.01 Min: 55.5 / Avg: 55.59 / Max: 55.67 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 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 0.52 0.53 0.52 0.50 0.52 0.50 0.52 0.52 0.61 0.53 0.50 0.62 0.51 0.52 1. (CXX) g++ options: -O3 -pthread
GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
Result Confidence
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.52 / Avg: 0.52 / Max: 0.52 Min: 0.49 / Avg: 0.5 / Max: 0.51 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.49 / Avg: 0.5 / Max: 0.51 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.61 / Avg: 0.61 / Max: 0.62 Min: 0.52 / Avg: 0.53 / Max: 0.54 Min: 0.49 / Avg: 0.5 / Max: 0.51 Min: 0.62 / Avg: 0.62 / Max: 0.62 Min: 0.51 / Avg: 0.51 / Max: 0.52 Min: 0.51 / Avg: 0.52 / Max: 0.52 1. (CXX) g++ options: -O3 -pthread
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1418 0.2836 0.4254 0.5672 0.709 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.54 0.53 0.53 0.52 0.52 0.51 0.53 0.53 0.62 0.54 0.51 0.63 0.52 0.52 1. (CXX) g++ options: -O3 -pthread
GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
Result Confidence
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.53 / Avg: 0.54 / Max: 0.54 Min: 0.53 / Avg: 0.53 / Max: 0.54 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.51 / Avg: 0.51 / Max: 0.52 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.53 / Avg: 0.53 / Max: 0.54 Min: 0.61 / Avg: 0.62 / Max: 0.63 Min: 0.54 / Avg: 0.54 / Max: 0.55 Min: 0.51 / Avg: 0.51 / Max: 0.52 Min: 0.62 / Avg: 0.63 / Max: 0.63 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.52 / Avg: 0.52 / Max: 0.53 1. (CXX) g++ options: -O3 -pthread
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 13 26 39 52 65 SE +/- 0.32, N = 3 SE +/- 0.41, N = 3 SE +/- 0.45, N = 3 SE +/- 0.80, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.42, N = 3 SE +/- 0.24, N = 3 SE +/- 0.30, N = 3 SE +/- 0.50, N = 3 SE +/- 0.33, N = 3 SE +/- 0.36, N = 3 55.68 53.36 55.77 59.31 55.42 57.24 55.95 53.72 50.59 52.99 56.10 52.99 55.57
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 12 24 36 48 60 Min: 55.04 / Avg: 55.68 / Max: 56.12 Min: 52.68 / Avg: 53.36 / Max: 54.09 Min: 54.93 / Avg: 55.77 / Max: 56.46 Min: 57.78 / Avg: 59.31 / Max: 60.47 Min: 54.86 / Avg: 55.42 / Max: 55.71 Min: 57.12 / Avg: 57.24 / Max: 57.34 Min: 55.51 / Avg: 55.95 / Max: 56.27 Min: 52.98 / Avg: 53.72 / Max: 54.43 Min: 50.13 / Avg: 50.59 / Max: 50.91 Min: 52.43 / Avg: 52.99 / Max: 53.44 Min: 55.21 / Avg: 56.1 / Max: 56.93 Min: 52.38 / Avg: 52.99 / Max: 53.51 Min: 55.11 / Avg: 55.57 / Max: 56.28
Redis Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K SE +/- 13671.93, N = 15 SE +/- 20897.40, N = 15 SE +/- 8695.76, N = 3 SE +/- 8933.33, N = 3 SE +/- 17355.22, N = 15 SE +/- 13873.03, N = 3 SE +/- 12423.96, N = 3 SE +/- 16125.60, N = 15 SE +/- 8827.27, N = 3 SE +/- 17960.88, N = 3 SE +/- 16958.48, N = 15 SE +/- 11422.05, N = 10 SE +/- 3475.48, N = 3 SE +/- 16607.14, N = 15 1347163.14 1393300.08 1345235.04 1302498.71 1349388.24 1285763.37 1328786.50 1387616.13 1514902.30 1388206.16 1325778.66 1510395.93 1319402.58 1360852.66 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Requests Per Second Per Watt
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 6.0.9 Test: SADD EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8K 16K 24K 32K 40K 25016.28 36325.60 34516.59 39084.39 29367.10 37338.23 24141.05 34715.91 27216.48 34766.37 36856.97 35697.64 23687.13 25475.97
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K Min: 1270656.12 / Avg: 1347163.14 / Max: 1487873.75 Min: 1309088.62 / Avg: 1393300.08 / Max: 1560067.38 Min: 1327844.88 / Avg: 1345235.04 / Max: 1354117.75 Min: 1285520.5 / Avg: 1302498.71 / Max: 1315806.38 Min: 1255650.38 / Avg: 1349388.24 / Max: 1542049.62 Min: 1260088.75 / Avg: 1285763.37 / Max: 1307710.75 Min: 1314595.5 / Avg: 1328786.5 / Max: 1353546.25 Min: 1293828.38 / Avg: 1387616.13 / Max: 1488321.5 Min: 1500849.5 / Avg: 1514902.33 / Max: 1531183.5 Min: 1357040.62 / Avg: 1388206.16 / Max: 1419258.62 Min: 1238091.38 / Avg: 1325778.66 / Max: 1481061.62 Min: 1461584.38 / Avg: 1510395.93 / Max: 1591637.12 Min: 1313197.62 / Avg: 1319402.58 / Max: 1325218.12 Min: 1297029.25 / Avg: 1360852.66 / Max: 1498136.88 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenFOAM OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 30M EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.30, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 23.35 33.81 40.87 113.16 25.17 67.23 22.83 30.62 39.89 29.62 56.57 60.50 26.53 23.43 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 30M EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 23.06 / Avg: 23.35 / Max: 23.68 Min: 33.73 / Avg: 33.81 / Max: 33.97 Min: 40.67 / Avg: 40.87 / Max: 41.21 Min: 112.77 / Avg: 113.16 / Max: 113.75 Min: 25.06 / Avg: 25.17 / Max: 25.35 Min: 67.08 / Avg: 67.23 / Max: 67.35 Min: 22.63 / Avg: 22.83 / Max: 22.97 Min: 30.52 / Avg: 30.62 / Max: 30.71 Min: 39.79 / Avg: 39.89 / Max: 39.94 Min: 29.5 / Avg: 29.62 / Max: 29.8 Min: 56.49 / Avg: 56.57 / Max: 56.65 Min: 60.32 / Avg: 60.5 / Max: 60.7 Min: 26.35 / Avg: 26.53 / Max: 26.65 Min: 23.3 / Avg: 23.43 / Max: 23.53 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1193 0.2386 0.3579 0.4772 0.5965 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.46 0.46 0.45 0.44 0.45 0.44 0.45 0.46 0.53 0.46 0.44 0.53 0.45 0.45 1. (CXX) g++ options: -O3 -pthread
GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 0.7.1 Throughput Test: Kostya EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
Result Confidence
OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.43 / Avg: 0.44 / Max: 0.44 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.45 / Avg: 0.45 / Max: 0.45 1. (CXX) g++ options: -O3 -pthread
Minion Minion is an open-source constraint solver that is designed to be very scalable. This test profile uses Minion's integrated benchmarking problems to solve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Minion 1.8 Benchmark: Graceful EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 52.35 52.30 52.93 55.08 53.29 54.63 53.07 52.34 44.84 51.62 54.76 44.92 53.18 53.20 1. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Minion 1.8 Benchmark: Graceful EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 11 22 33 44 55 Min: 52.3 / Avg: 52.35 / Max: 52.43 Min: 52.29 / Avg: 52.3 / Max: 52.3 Min: 52.9 / Avg: 52.93 / Max: 52.97 Min: 54.97 / Avg: 55.08 / Max: 55.19 Min: 53.08 / Avg: 53.29 / Max: 53.44 Min: 54.4 / Avg: 54.63 / Max: 54.76 Min: 52.97 / Avg: 53.07 / Max: 53.19 Min: 52.19 / Avg: 52.34 / Max: 52.57 Min: 44.76 / Avg: 44.84 / Max: 44.96 Min: 51.51 / Avg: 51.62 / Max: 51.69 Min: 54.61 / Avg: 54.76 / Max: 54.89 Min: 44.81 / Avg: 44.92 / Max: 45.04 Min: 53.07 / Avg: 53.18 / Max: 53.26 Min: 53.13 / Avg: 53.2 / Max: 53.31 1. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0002 0.0004 0.0006 0.0008 0.001 SE +/- 0.00000621, N = 3 SE +/- 0.00000962, N = 3 SE +/- 0.00000413, N = 3 SE +/- 0.00000737, N = 3 SE +/- 0.00000921, N = 3 SE +/- 0.00001257, N = 3 SE +/- 0.00000365, N = 3 SE +/- 0.00000724, N = 3 SE +/- 0.00000483, N = 3 SE +/- 0.00000879, N = 3 SE +/- 0.00000497, N = 3 SE +/- 0.00001015, N = 3 SE +/- 0.00000252, N = 3 SE +/- 0.00000264, N = 3 0.00097084 0.00095586 0.00095478 0.00100608 0.00096153 0.00098074 0.00097455 0.00096082 0.00082570 0.00095485 0.00099210 0.00083563 0.00096753 0.00096579
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1 2 3 4 5 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0
Timed PHP Compilation This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 42.56 47.41 52.75 75.33 43.84 60.20 43.06 45.44 46.54 44.55 55.22 59.56 46.10 43.82
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 14 28 42 56 70 Min: 42.5 / Avg: 42.56 / Max: 42.67 Min: 47.38 / Avg: 47.41 / Max: 47.44 Min: 52.62 / Avg: 52.75 / Max: 52.9 Min: 75.27 / Avg: 75.33 / Max: 75.44 Min: 43.81 / Avg: 43.84 / Max: 43.91 Min: 60.16 / Avg: 60.2 / Max: 60.27 Min: 43 / Avg: 43.06 / Max: 43.15 Min: 45.42 / Avg: 45.44 / Max: 45.46 Min: 46.12 / Avg: 46.54 / Max: 46.75 Min: 44.52 / Avg: 44.55 / Max: 44.58 Min: 55.1 / Avg: 55.22 / Max: 55.29 Min: 59.55 / Avg: 59.56 / Max: 59.58 Min: 46.08 / Avg: 46.1 / Max: 46.13 Min: 43.8 / Avg: 43.82 / Max: 43.84
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, 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 +/- 0.03, N = 3 11.07 5.76 4.02 1.89 9.52 2.93 11.24 7.01 4.45 7.58 3.72 2.39 6.90 9.58 MIN: 10.75 / MAX: 11.24 MIN: 5.68 / MAX: 5.81 MIN: 3.98 / MAX: 4.05 MIN: 1.84 / MAX: 1.91 MIN: 9.35 / MAX: 9.62 MIN: 2.9 / MAX: 2.97 MIN: 10.99 / MAX: 11.36 MIN: 6.94 / MAX: 7.09 MIN: 4.31 / MAX: 4.52 MIN: 7.46 / MAX: 7.63 MIN: 3.69 / MAX: 3.76 MIN: 2.37 / MAX: 2.42 MIN: 6.8 / MAX: 6.99 MIN: 9.17 / MAX: 9.71
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0158 0.0316 0.0474 0.0632 0.079 0.07 0.04 0.03 0.02 0.06 0.03 0.07 0.05 0.02 0.05 0.04 0.02 0.05 0.06
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 10.99 / Avg: 11.07 / Max: 11.11 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 4.02 / Avg: 4.02 / Max: 4.02 Min: 1.89 / Avg: 1.89 / Max: 1.89 Min: 9.52 / Avg: 9.52 / Max: 9.52 Min: 2.93 / Avg: 2.93 / Max: 2.93 Min: 11.24 / Avg: 11.24 / Max: 11.24 Min: 6.99 / Avg: 7.01 / Max: 7.04 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 7.58 / Avg: 7.58 / Max: 7.58 Min: 3.72 / Avg: 3.72 / Max: 3.72 Min: 2.39 / Avg: 2.39 / Max: 2.39 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 9.52 / Avg: 9.58 / Max: 9.62
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.034, N = 3 SE +/- 0.075, N = 4 SE +/- 0.082, N = 6 SE +/- 0.004, N = 3 SE +/- 0.069, N = 3 SE +/- 0.040, N = 3 SE +/- 0.063, N = 3 SE +/- 0.056, N = 3 SE +/- 0.029, N = 3 SE +/- 0.034, N = 13 SE +/- 0.011, N = 3 SE +/- 0.020, N = 3 SE +/- 0.063, N = 5 SE +/- 0.031, N = 3 4.804 6.067 8.258 14.123 4.872 9.939 4.617 5.481 8.876 5.369 7.791 12.176 5.648 4.972 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 4.76 / Avg: 4.8 / Max: 4.87 Min: 5.94 / Avg: 6.07 / Max: 6.22 Min: 7.91 / Avg: 8.26 / Max: 8.44 Min: 14.12 / Avg: 14.12 / Max: 14.13 Min: 4.76 / Avg: 4.87 / Max: 5 Min: 9.87 / Avg: 9.94 / Max: 10.01 Min: 4.51 / Avg: 4.62 / Max: 4.73 Min: 5.37 / Avg: 5.48 / Max: 5.55 Min: 8.83 / Avg: 8.88 / Max: 8.93 Min: 4.97 / Avg: 5.37 / Max: 5.44 Min: 7.77 / Avg: 7.79 / Max: 7.81 Min: 12.14 / Avg: 12.18 / Max: 12.2 Min: 5.51 / Avg: 5.65 / Max: 5.86 Min: 4.91 / Avg: 4.97 / Max: 5.01 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 12K 24K 36K 48K 60K SE +/- 365.68, N = 3 SE +/- 510.25, N = 4 SE +/- 306.40, N = 6 SE +/- 5.29, N = 3 SE +/- 725.42, N = 3 SE +/- 98.97, N = 3 SE +/- 734.82, N = 3 SE +/- 468.05, N = 3 SE +/- 92.29, N = 3 SE +/- 320.52, N = 13 SE +/- 44.96, N = 3 SE +/- 32.87, N = 3 SE +/- 489.37, N = 5 SE +/- 308.59, N = 3 52181 41273 30313 17709 51444 25170 54318 45671 28193 46655 32115 20541 44343 50381 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9K 18K 27K 36K 45K Min: 51458.66 / Avg: 52181.25 / Max: 52640.41 Min: 40219.85 / Avg: 41272.74 / Max: 42149.61 Min: 29631.74 / Avg: 30313.35 / Max: 31648.97 Min: 17702.56 / Avg: 17709.27 / Max: 17719.71 Min: 50134.59 / Avg: 51444.21 / Max: 52639.74 Min: 25002.83 / Avg: 25170.22 / Max: 25345.42 Min: 53010.6 / Avg: 54318.48 / Max: 55552.89 Min: 45084.17 / Avg: 45670.73 / Max: 46595.8 Min: 28026.73 / Avg: 28193.29 / Max: 28345.44 Min: 46038.91 / Avg: 46655.09 / Max: 50394.39 Min: 32033.65 / Avg: 32115.45 / Max: 32188.7 Min: 20498.68 / Avg: 20541.36 / Max: 20606 Min: 42733.56 / Avg: 44342.61 / Max: 45416.75 Min: 49982.78 / Avg: 50381.39 / Max: 50988.76 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Redis Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SET EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K SE +/- 22602.36, N = 12 SE +/- 4313.29, N = 3 SE +/- 12613.83, N = 5 SE +/- 11537.36, N = 4 SE +/- 14106.76, N = 3 SE +/- 17229.52, N = 15 SE +/- 18435.82, N = 15 SE +/- 14615.10, N = 4 SE +/- 8091.69, N = 3 SE +/- 15275.38, N = 3 SE +/- 15930.17, N = 3 SE +/- 13442.74, N = 3 SE +/- 15826.22, N = 15 SE +/- 16083.41, N = 14 1228831.79 1147451.38 1173570.00 1126925.50 1170719.46 1156241.74 1200527.31 1180459.91 1336546.21 1189270.87 1143594.63 1315900.46 1186674.32 1183717.45 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Requests Per Second Per Watt
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 6.0.9 Test: SET EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7K 14K 21K 28K 35K 22530.98 29418.44 29192.78 33238.20 24980.53 33520.26 21301.37 29043.85 23705.79 29411.07 31275.55 30367.37 21182.66 21774.45
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SET EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K Min: 1142730.12 / Avg: 1228831.79 / Max: 1378956.5 Min: 1143020.75 / Avg: 1147451.38 / Max: 1156076.88 Min: 1141950.88 / Avg: 1173570 / Max: 1208467 Min: 1105957.12 / Avg: 1126925.5 / Max: 1159285.88 Min: 1151024 / Avg: 1170719.46 / Max: 1198062 Min: 1088613.12 / Avg: 1156241.74 / Max: 1310666.25 Min: 1107542.38 / Avg: 1200527.31 / Max: 1349007.38 Min: 1147582.38 / Avg: 1180459.91 / Max: 1209351.5 Min: 1320510.25 / Avg: 1336546.21 / Max: 1346451.62 Min: 1161717.5 / Avg: 1189270.87 / Max: 1214476.5 Min: 1112121 / Avg: 1143594.63 / Max: 1163617.38 Min: 1289503 / Avg: 1315900.46 / Max: 1333515.38 Min: 1117600.38 / Avg: 1186674.32 / Max: 1295341 Min: 1125387.38 / Avg: 1183717.45 / Max: 1363145 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 SE +/- 0.12, N = 4 SE +/- 0.07, N = 4 SE +/- 0.12, N = 4 SE +/- 0.11, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.09, N = 4 SE +/- 0.08, N = 4 SE +/- 0.08, N = 4 SE +/- 0.04, N = 4 SE +/- 0.10, N = 4 SE +/- 0.07, N = 4 SE +/- 0.07, N = 4 SE +/- 0.06, N = 4 35.93 35.69 36.36 37.40 36.40 37.40 36.20 35.73 30.75 35.27 37.55 30.84 36.24 36.28 1. (CC) gcc options: -O2 -std=c99
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 35.63 / Avg: 35.93 / Max: 36.21 Min: 35.55 / Avg: 35.69 / Max: 35.87 Min: 36.06 / Avg: 36.36 / Max: 36.65 Min: 37.13 / Avg: 37.4 / Max: 37.65 Min: 36.11 / Avg: 36.4 / Max: 36.59 Min: 37.26 / Avg: 37.4 / Max: 37.61 Min: 35.97 / Avg: 36.2 / Max: 36.42 Min: 35.5 / Avg: 35.73 / Max: 35.85 Min: 30.52 / Avg: 30.75 / Max: 30.86 Min: 35.16 / Avg: 35.27 / Max: 35.37 Min: 37.36 / Avg: 37.55 / Max: 37.83 Min: 30.64 / Avg: 30.84 / Max: 30.96 Min: 36.12 / Avg: 36.24 / Max: 36.4 Min: 36.17 / Avg: 36.28 / Max: 36.45 1. (CC) gcc options: -O2 -std=c99
JPEG XL Decoding The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. Learn more via the OpenBenchmarking.org test page.
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.26, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 19.12 37.73 54.84 112.39 22.81 75.04 19.08 30.90 46.59 28.59 58.47 92.16 31.57 22.56 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 19.11 / Avg: 19.12 / Max: 19.14 Min: 37.62 / Avg: 37.73 / Max: 37.87 Min: 54.8 / Avg: 54.84 / Max: 54.9 Min: 112.07 / Avg: 112.39 / Max: 112.9 Min: 22.76 / Avg: 22.81 / Max: 22.84 Min: 74.96 / Avg: 75.04 / Max: 75.08 Min: 19.06 / Avg: 19.08 / Max: 19.12 Min: 30.86 / Avg: 30.9 / Max: 30.92 Min: 46.49 / Avg: 46.59 / Max: 46.65 Min: 28.5 / Avg: 28.59 / Max: 28.69 Min: 58.2 / Avg: 58.47 / Max: 59 Min: 91.95 / Avg: 92.16 / Max: 92.42 Min: 31.53 / Avg: 31.57 / Max: 31.59 Min: 22.52 / Avg: 22.56 / Max: 22.63 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
Redis Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 400K 800K 1200K 1600K 2000K SE +/- 18256.32, N = 3 SE +/- 13170.58, N = 15 SE +/- 13583.32, N = 6 SE +/- 18495.33, N = 15 SE +/- 8071.25, N = 3 SE +/- 12289.67, N = 3 SE +/- 13883.40, N = 3 SE +/- 18437.40, N = 3 SE +/- 17849.12, N = 5 SE +/- 13573.21, N = 15 SE +/- 14367.89, N = 15 SE +/- 19118.80, N = 4 SE +/- 21214.43, N = 3 SE +/- 11135.64, N = 15 1482738.92 1466557.03 1438157.73 1421564.35 1450496.71 1372468.88 1417246.67 1419600.13 1635794.57 1508082.41 1414840.41 1601070.50 1481804.00 1437534.23 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Requests Per Second Per Watt
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 6.0.9 Test: GET EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9K 18K 27K 36K 45K 27989.20 39042.93 36649.44 42939.75 31741.99 40587.49 25840.00 35995.93 29783.14 38176.82 39449.14 37914.84 27229.69 27083.65
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K Min: 1456664.25 / Avg: 1482738.92 / Max: 1517911.38 Min: 1388893.38 / Avg: 1466557.03 / Max: 1567157.5 Min: 1387351.75 / Avg: 1438157.73 / Max: 1487252.88 Min: 1340662.25 / Avg: 1421564.35 / Max: 1628409.75 Min: 1439056 / Avg: 1450496.71 / Max: 1466079.5 Min: 1350621.38 / Avg: 1372468.88 / Max: 1393145.75 Min: 1397042.75 / Avg: 1417246.67 / Max: 1443844 Min: 1387942.88 / Avg: 1419600.13 / Max: 1451804.88 Min: 1586048 / Avg: 1635794.57 / Max: 1671133.62 Min: 1433897.38 / Avg: 1508082.41 / Max: 1604899.38 Min: 1349900.62 / Avg: 1414840.41 / Max: 1535877.12 Min: 1561051.5 / Avg: 1601070.5 / Max: 1650709.75 Min: 1456461.38 / Avg: 1481804 / Max: 1523945.12 Min: 1363529.88 / Avg: 1437534.23 / Max: 1507163.75 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
7-Zip Compression This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60K 120K 180K 240K 300K SE +/- 226.28, N = 3 SE +/- 315.33, N = 3 SE +/- 192.03, N = 3 SE +/- 84.48, N = 3 SE +/- 453.51, N = 3 SE +/- 108.98, N = 3 SE +/- 419.38, N = 3 SE +/- 249.88, N = 3 SE +/- 558.99, N = 3 SE +/- 190.42, N = 3 SE +/- 313.91, N = 3 SE +/- 288.04, N = 3 SE +/- 894.75, N = 3 264908 138575 95137 45941 229747 69655 270140 171362 109069 176148 90588 56955 171242 1. (CXX) g++ options: -pipe -lpthread
MIPS Per Watt
OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 400 800 1200 1600 2000 1772.21 1091.49 969.68 710.08 1667.35 872.02 1860.21 1397.09 654.08 1318.89 1034.12 601.78 1207.72
Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50K 100K 150K 200K 250K Min: 264563 / Avg: 264907.67 / Max: 265334 Min: 138164 / Avg: 138575.33 / Max: 139195 Min: 94939 / Avg: 95137 / Max: 95521 Min: 45801 / Avg: 45941.33 / Max: 46093 Min: 229189 / Avg: 229746.67 / Max: 230645 Min: 69500 / Avg: 69654.67 / Max: 69865 Min: 269353 / Avg: 270139.67 / Max: 270785 Min: 170978 / Avg: 171362 / Max: 171831 Min: 108136 / Avg: 109069.33 / Max: 110069 Min: 175784 / Avg: 176148 / Max: 176427 Min: 90180 / Avg: 90587.67 / Max: 91205 Min: 56532 / Avg: 56954.67 / Max: 57505 Min: 169527 / Avg: 171242 / Max: 172542 1. (CXX) g++ options: -pipe -lpthread
Redis Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300K 600K 900K 1200K 1500K SE +/- 7054.62, N = 13 SE +/- 11072.90, N = 15 SE +/- 8436.86, N = 3 SE +/- 6585.32, N = 3 SE +/- 7701.66, N = 3 SE +/- 15424.51, N = 15 SE +/- 5890.12, N = 3 SE +/- 9569.43, N = 3 SE +/- 8000.25, N = 3 SE +/- 11205.82, N = 5 SE +/- 3774.33, N = 3 SE +/- 6374.74, N = 3 SE +/- 10288.34, N = 15 SE +/- 4227.00, N = 3 1031876.33 1045821.59 1030785.79 991962.08 1013049.13 1037523.56 1039389.17 1045486.81 1174427.00 1067438.77 997652.46 1174520.46 1059976.32 1018402.69 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Requests Per Second Per Watt
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 6.0.9 Test: LPUSH EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6K 12K 18K 24K 30K 18361.54 26554.24 25453.57 28993.77 21454.67 29596.02 18391.09 25519.76 20551.40 26166.33 27079.37 26954.89 18680.49 18554.91
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K Min: 1004120.12 / Avg: 1031876.33 / Max: 1093254.62 Min: 987478.25 / Avg: 1045821.59 / Max: 1105957.12 Min: 1014202.06 / Avg: 1030785.79 / Max: 1041775.19 Min: 978965.06 / Avg: 991962.08 / Max: 1000306.5 Min: 1004120.12 / Avg: 1013049.13 / Max: 1028383.38 Min: 976187.38 / Avg: 1037523.56 / Max: 1152915 Min: 1027854.88 / Avg: 1039389.17 / Max: 1047230.12 Min: 1029134.12 / Avg: 1045486.81 / Max: 1062275 Min: 1165101.25 / Avg: 1174427 / Max: 1190349.75 Min: 1044932.12 / Avg: 1067438.77 / Max: 1106467.75 Min: 990504 / Avg: 997652.46 / Max: 1003327 Min: 1167284.62 / Avg: 1174520.46 / Max: 1187229.25 Min: 1006359.25 / Avg: 1059976.32 / Max: 1149564.75 Min: 1013376.56 / Avg: 1018402.69 / Max: 1026802.69 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
rav1e Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.3499 0.6998 1.0497 1.3996 1.7495 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 1.342 1.351 1.329 1.289 1.331 1.296 1.333 1.338 1.542 1.368 1.293 1.555 1.336 1.320
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.4 Speed: 6 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0068 0.0136 0.0204 0.0272 0.034 0.02 0.02 0.02 0.03 0.02 0.03 0.02 0.02 0.02 0.02 0.03 0.02 0.02 0.02
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.34 / Avg: 1.34 / Max: 1.34 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 1.33 / Avg: 1.33 / Max: 1.33 Min: 1.29 / Avg: 1.29 / Max: 1.29 Min: 1.33 / Avg: 1.33 / Max: 1.33 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.33 / Avg: 1.33 / Max: 1.34 Min: 1.33 / Avg: 1.34 / Max: 1.34 Min: 1.54 / Avg: 1.54 / Max: 1.54 Min: 1.36 / Avg: 1.37 / Max: 1.37 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.55 / Avg: 1.55 / Max: 1.56 Min: 1.34 / Avg: 1.34 / Max: 1.34 Min: 1.32 / Avg: 1.32 / Max: 1.32
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.163720, N = 4 SE +/- 0.025438, N = 3 SE +/- 0.017716, N = 3 SE +/- 0.010754, N = 3 SE +/- 0.083534, N = 3 SE +/- 0.008716, N = 3 SE +/- 0.099835, N = 4 SE +/- 0.066319, N = 3 SE +/- 0.028662, N = 3 SE +/- 0.091101, N = 3 SE +/- 0.037637, N = 3 SE +/- 0.039059, N = 3 SE +/- 0.072162, N = 3 SE +/- 0.030087, N = 3 15.614812 7.208235 4.963715 1.583704 12.735031 3.464003 16.881168 9.326909 4.897653 8.863336 4.452419 3.011595 9.828871 13.942465 1. (CC) gcc options: -O3 -march=native -fopenmp
GFLOP/s Per Watt
OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0248 0.0496 0.0744 0.0992 0.124 0.11 0.06 0.05 0.02 0.10 0.05 0.11 0.07 0.03 0.07 0.05 0.03 0.06 0.08
Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 15.39 / Avg: 15.61 / Max: 16.1 Min: 7.16 / Avg: 7.21 / Max: 7.24 Min: 4.93 / Avg: 4.96 / Max: 4.99 Min: 1.57 / Avg: 1.58 / Max: 1.61 Min: 12.62 / Avg: 12.74 / Max: 12.9 Min: 3.45 / Avg: 3.46 / Max: 3.48 Min: 16.59 / Avg: 16.88 / Max: 17.02 Min: 9.25 / Avg: 9.33 / Max: 9.46 Min: 4.85 / Avg: 4.9 / Max: 4.95 Min: 8.68 / Avg: 8.86 / Max: 8.96 Min: 4.39 / Avg: 4.45 / Max: 4.52 Min: 2.95 / Avg: 3.01 / Max: 3.08 Min: 9.75 / Avg: 9.83 / Max: 9.97 Min: 13.91 / Avg: 13.94 / Max: 14 1. (CC) gcc options: -O3 -march=native -fopenmp
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.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 1.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.55, N = 3 SE +/- 0.09, N = 3 SE +/- 0.79, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 147.5 96.9 73.8 37.3 125.7 55.2 149.6 114.3 76.1 114.4 66.4 47.0 122.7 130.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.5 Compression Level: 19 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.3218 0.6436 0.9654 1.2872 1.609 1.31 1.20 1.00 0.66 1.33 0.89 1.38 1.38 0.69 1.43 1.01 0.63 1.17 1.24
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 145.1 / Avg: 147.53 / Max: 148.8 Min: 96.8 / Avg: 96.93 / Max: 97.1 Min: 73.8 / Avg: 73.83 / Max: 73.9 Min: 37.2 / Avg: 37.3 / Max: 37.4 Min: 125.4 / Avg: 125.67 / Max: 125.9 Min: 55.1 / Avg: 55.2 / Max: 55.3 Min: 148.7 / Avg: 149.6 / Max: 150.6 Min: 114.2 / Avg: 114.33 / Max: 114.5 Min: 74.9 / Avg: 76.13 / Max: 77.6 Min: 114.2 / Avg: 114.4 / Max: 114.7 Min: 66.2 / Avg: 66.4 / Max: 66.6 Min: 47 / Avg: 47.03 / Max: 47.1 Min: 122.7 / Avg: 122.7 / Max: 122.7 Min: 129.9 / Avg: 130.1 / Max: 130.3 1. (CC) gcc options: -O3 -pthread -lz -llzma
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.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 42.29 42.30 42.88 46.30 42.86 44.27 43.14 42.31 36.44 41.66 44.37 36.49 42.90 42.96 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 Min: 42.26 / Avg: 42.29 / Max: 42.3 Min: 42.03 / Avg: 42.3 / Max: 42.64 Min: 42.75 / Avg: 42.88 / Max: 42.95 Min: 46.14 / Avg: 46.3 / Max: 46.42 Min: 42.71 / Avg: 42.86 / Max: 43.03 Min: 44.18 / Avg: 44.27 / Max: 44.39 Min: 43 / Avg: 43.13 / Max: 43.38 Min: 42.23 / Avg: 42.31 / Max: 42.35 Min: 36.33 / Avg: 36.44 / Max: 36.56 Min: 41.62 / Avg: 41.66 / Max: 41.7 Min: 44.26 / Avg: 44.37 / Max: 44.53 Min: 36.45 / Avg: 36.49 / Max: 36.52 Min: 42.83 / Avg: 42.9 / Max: 42.94 Min: 42.78 / Avg: 42.96 / Max: 43.08 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
AOBench AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 SE +/- 0.51, N = 3 SE +/- 0.00, N = 3 SE +/- 0.18, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 41.15 40.59 40.98 42.44 41.17 42.48 41.26 40.53 34.81 39.92 42.44 34.84 41.19 41.17 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 Min: 40.64 / Avg: 41.15 / Max: 42.18 Min: 40.58 / Avg: 40.59 / Max: 40.6 Min: 40.63 / Avg: 40.98 / Max: 41.17 Min: 42.43 / Avg: 42.44 / Max: 42.45 Min: 41.14 / Avg: 41.16 / Max: 41.18 Min: 42.42 / Avg: 42.48 / Max: 42.58 Min: 41.23 / Avg: 41.26 / Max: 41.3 Min: 40.51 / Avg: 40.53 / Max: 40.58 Min: 34.79 / Avg: 34.81 / Max: 34.85 Min: 39.91 / Avg: 39.92 / Max: 39.94 Min: 42.4 / Avg: 42.43 / Max: 42.45 Min: 34.8 / Avg: 34.83 / Max: 34.87 Min: 41.18 / Avg: 41.19 / Max: 41.2 Min: 41.14 / Avg: 41.17 / Max: 41.18 1. (CC) gcc options: -lm -O3
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13 26 39 52 65 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 55.56 30.30 20.83 10.31 50.00 15.63 58.82 37.04 22.56 40.00 19.61 12.50 35.71 50.00 MIN: 50 / MAX: 62.5 MIN: 29.41 / MAX: 32.26 MIN: 20.41 / MAX: 22.73 MIN: 10.1 / MAX: 10.99 MIN: 47.62 / MAX: 52.63 MIN: 15.15 / MAX: 16.67 MIN: 52.63 / MAX: 62.5 MIN: 34.48 / MAX: 40 MIN: 21.28 / MAX: 24.39 MIN: 37.04 / MAX: 41.67 MIN: 19.23 / MAX: 21.28 MIN: 12.2 / MAX: 13.33 MIN: 33.33 / MAX: 38.46 MIN: 47.62 / MAX: 52.63
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.162 0.324 0.486 0.648 0.81 0.67 0.44 0.31 0.19 0.69 0.26 0.72 0.57 0.21 0.59 0.34 0.16 0.43 0.62
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 12 24 36 48 60 Min: 55.56 / Avg: 55.56 / Max: 55.56 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 10.31 / Avg: 10.31 / Max: 10.31 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 58.82 / Avg: 58.82 / Max: 58.82 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 22.22 / Avg: 22.56 / Max: 22.73 Min: 19.61 / Avg: 19.61 / Max: 19.61 Min: 12.5 / Avg: 12.5 / Max: 12.5 Min: 35.71 / Avg: 35.71 / Max: 35.71
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.21 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 500 1000 1500 2000 2500 SE +/- 11.47, N = 3 SE +/- 12.22, N = 3 SE +/- 10.13, N = 3 SE +/- 10.95, N = 3 SE +/- 13.45, N = 3 SE +/- 12.91, N = 3 SE +/- 10.12, N = 3 SE +/- 9.97, N = 3 SE +/- 10.66, N = 3 SE +/- 11.83, N = 3 SE +/- 8.78, N = 3 SE +/- 13.33, N = 3 SE +/- 10.26, N = 3 1970.1 1977.3 1952.5 1892.0 1945.3 1893.2 1955.3 1984.5 2300.7 2016.4 1887.0 2285.2 1922.3 1. (CXX) g++ options: -O3 -march=native -rdynamic
MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.21 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 10 20 30 40 50 28.04 40.44 39.68 46.01 33.75 45.42 28.49 40.27 31.99 41.04 44.47 42.47 28.32
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.21 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 400 800 1200 1600 2000 Min: 1947.7 / Avg: 1970.13 / Max: 1985.5 Min: 1953.5 / Avg: 1977.33 / Max: 1993.9 Min: 1932.3 / Avg: 1952.53 / Max: 1963.6 Min: 1870.4 / Avg: 1892 / Max: 1905.9 Min: 1918.7 / Avg: 1945.33 / Max: 1961.9 Min: 1867.5 / Avg: 1893.2 / Max: 1908.2 Min: 1935.1 / Avg: 1955.3 / Max: 1966.5 Min: 1964.7 / Avg: 1984.5 / Max: 1996.4 Min: 2279.8 / Avg: 2300.73 / Max: 2314.7 Min: 1993.3 / Avg: 2016.43 / Max: 2032.3 Min: 1869.4 / Avg: 1886.97 / Max: 1895.9 Min: 2258.5 / Avg: 2285.17 / Max: 2298.8 Min: 1902.5 / Avg: 1922.27 / Max: 1936.9 1. (CXX) g++ options: -O3 -march=native -rdynamic
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K SE +/- 197.85, N = 2 SE +/- 82.20, N = 3 SE +/- 0.00, N = 3 SE +/- 50.92, N = 3 SE +/- 0.00, N = 3 SE +/- 54.85, N = 9 SE +/- 101.60, N = 3 SE +/- 0.00, N = 3 SE +/- 136.29, N = 3 SE +/- 69.42, N = 3 SE +/- 66.13, N = 4 SE +/- 233.09, N = 3 SE +/- 111.87, N = 3 20382.20 13892.50 12204.40 3879.10 17300.80 7130.89 20991.70 12698.20 16399.70 12699.50 7358.19 8265.99 20585.30 23040.70 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Mpix/sec Per Watt
OpenBenchmarking.org Mpix/sec Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 116.25 123.63 132.05 62.30 117.11 97.15 123.10 104.15 117.06 105.62 92.77 93.74 137.34 139.29
Result Confidence
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K Min: 20184.3 / Avg: 20382.15 / Max: 20580 Min: 13810.3 / Avg: 13892.5 / Max: 14056.9 Min: 12204.4 / Avg: 12204.4 / Max: 12204.4 Min: 3802.84 / Avg: 3879.1 / Max: 3975.69 Min: 17300.8 / Avg: 17300.8 / Max: 17300.8 Min: 6786.09 / Avg: 7130.89 / Max: 7288.77 Min: 12495 / Avg: 12698.2 / Max: 12799.8 Min: 16399.7 / Avg: 16399.7 / Max: 16399.7 Min: 12495 / Avg: 12699.47 / Max: 12957.8 Min: 7288.77 / Avg: 7358.19 / Max: 7497.02 Min: 8199.86 / Avg: 8265.99 / Max: 8464.38 Min: 20184.3 / Avg: 20585.33 / Max: 20991.7 Min: 22817 / Avg: 23040.73 / Max: 23152.6 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Result
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5K 10K 15K 20K 25K SE +/- 112.07, N = 3 SE +/- 63.07, N = 3 SE +/- 68.60, N = 3 SE +/- 28.76, N = 3 SE +/- 61.33, N = 3 SE +/- 48.79, N = 9 SE +/- 121.22, N = 3 SE +/- 137.10, N = 3 SE +/- 118.03, N = 3 SE +/- 162.55, N = 3 SE +/- 27.68, N = 3 SE +/- 74.25, N = 4 SE +/- 215.40, N = 3 SE +/- 197.00, N = 3 20185.50 12173.70 10427.20 3350.22 16990.10 6100.18 20993.10 12067.30 13692.30 11976.90 6587.57 6907.54 18311.70 21472.30 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Result Confidence
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K Min: 19992 / Avg: 20185.5 / Max: 20380.2 Min: 12110.6 / Avg: 12173.67 / Max: 12299.8 Min: 10290 / Avg: 10427.2 / Max: 10495.8 Min: 3321.46 / Avg: 3350.22 / Max: 3407.74 Min: 16928.8 / Avg: 16990.13 / Max: 17112.8 Min: 5788.14 / Avg: 6100.18 / Max: 6247.52 Min: 20783.8 / Avg: 20993.07 / Max: 21203.7 Min: 11793.1 / Avg: 12067.3 / Max: 12204.4 Min: 13456.2 / Avg: 13692.27 / Max: 13810.3 Min: 11662 / Avg: 11976.87 / Max: 12204.4 Min: 6559.89 / Avg: 6587.57 / Max: 6642.93 Min: 6728.09 / Avg: 6907.54 / Max: 7091.77 Min: 18096.3 / Avg: 18311.7 / Max: 18742.5 Min: 21275.3 / Avg: 21472.3 / Max: 21866.3 1. (CXX) g++ options: -O3 -fstrict-aliasing -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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20 40 60 80 100 SE +/- 0.03, N = 4 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 4 SE +/- 0.02, N = 3 SE +/- 0.03, N = 4 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 13.84 28.19 42.38 87.19 16.61 58.22 13.75 22.63 35.92 21.37 43.74 71.58 23.05 1. (CXX) g++ options: -fopenmp -O2 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20 40 60 80 100 Min: 13.77 / Avg: 13.84 / Max: 13.89 Min: 28.07 / Avg: 28.19 / Max: 28.33 Min: 42.35 / Avg: 42.38 / Max: 42.41 Min: 87.19 / Avg: 87.19 / Max: 87.2 Min: 16.48 / Avg: 16.61 / Max: 16.78 Min: 58.19 / Avg: 58.22 / Max: 58.26 Min: 13.72 / Avg: 13.75 / Max: 13.84 Min: 22.57 / Avg: 22.63 / Max: 22.73 Min: 35.9 / Avg: 35.92 / Max: 35.93 Min: 21.31 / Avg: 21.37 / Max: 21.46 Min: 43.69 / Avg: 43.74 / Max: 43.81 Min: 71.55 / Avg: 71.58 / Max: 71.6 Min: 23.01 / Avg: 23.05 / Max: 23.09 1. (CXX) g++ options: -fopenmp -O2 -march=native
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 130K 260K 390K 520K 650K SE +/- 1921.47, N = 3 SE +/- 4035.67, N = 3 SE +/- 957.34, N = 3 SE +/- 569.07, N = 3 SE +/- 142.64, N = 3 SE +/- 2157.92, N = 3 SE +/- 1174.39, N = 3 SE +/- 948.15, N = 3 SE +/- 1476.72, N = 3 SE +/- 741.11, N = 3 SE +/- 973.54, N = 3 SE +/- 7086.33, N = 3 SE +/- 4131.15, N = 3 SE +/- 215.70, N = 3 529609 542521 524189 511906 523575 513356 524751 531740 614039 539060 511228 621672 532957 521572
Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3K 6K 9K 12K 15K 7643.25 11170.88 10676.05 12522.00 9050.74 12418.02 7697.43 10842.61 8583.59 11143.99 12087.81 11604.83 7829.14 8074.56
Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 110K 220K 330K 440K 550K Min: 525962 / Avg: 529608.67 / Max: 532482 Min: 534521 / Avg: 542520.67 / Max: 547450 Min: 522517 / Avg: 524188.67 / Max: 525833 Min: 511300 / Avg: 511905.67 / Max: 513043 Min: 523393 / Avg: 523574.67 / Max: 523856 Min: 510924 / Avg: 513356.33 / Max: 517660 Min: 523197 / Avg: 524750.67 / Max: 527053 Min: 530354 / Avg: 531740.33 / Max: 533554 Min: 611253 / Avg: 614039 / Max: 616281 Min: 538010 / Avg: 539060 / Max: 540491 Min: 510027 / Avg: 511228.33 / Max: 513156 Min: 613060 / Avg: 621672 / Max: 635726 Min: 524902 / Avg: 532956.67 / Max: 538578 Min: 521324 / Avg: 521572.33 / Max: 522002
Timed FFmpeg Compilation This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 15 30 45 60 75 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 24.03 32.07 39.74 68.50 25.50 49.92 23.98 29.12 33.98 27.86 42.86 54.15 29.23 25.21
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13 26 39 52 65 Min: 23.95 / Avg: 24.03 / Max: 24.14 Min: 32.01 / Avg: 32.07 / Max: 32.1 Min: 39.64 / Avg: 39.74 / Max: 39.84 Min: 68.42 / Avg: 68.5 / Max: 68.63 Min: 25.47 / Avg: 25.5 / Max: 25.56 Min: 49.75 / Avg: 49.92 / Max: 50.11 Min: 23.93 / Avg: 23.98 / Max: 24.01 Min: 29.07 / Avg: 29.12 / Max: 29.19 Min: 33.92 / Avg: 33.98 / Max: 34.07 Min: 27.84 / Avg: 27.86 / Max: 27.89 Min: 42.78 / Avg: 42.86 / Max: 42.98 Min: 54.13 / Avg: 54.15 / Max: 54.16 Min: 29.13 / Avg: 29.23 / Max: 29.37 Min: 25.18 / Avg: 25.21 / Max: 25.25
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 9 18 27 36 45 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.23, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 34.50 34.03 33.71 32.48 33.64 33.12 34.01 34.11 38.01 34.38 33.08 38.59 33.06 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Mpix/sec Per Watt
OpenBenchmarking.org Mpix/sec Per Watt, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 0.1395 0.279 0.4185 0.558 0.6975 0.40 0.55 0.55 0.62 0.47 0.62 0.41 0.55 0.40 0.55 0.61 0.53 0.41
Result Confidence
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 8 16 24 32 40 Min: 34.32 / Avg: 34.5 / Max: 34.63 Min: 33.89 / Avg: 34.03 / Max: 34.12 Min: 33.67 / Avg: 33.71 / Max: 33.74 Min: 32.44 / Avg: 32.48 / Max: 32.51 Min: 33.2 / Avg: 33.64 / Max: 34 Min: 33.04 / Avg: 33.12 / Max: 33.21 Min: 33.71 / Avg: 34.01 / Max: 34.31 Min: 33.96 / Avg: 34.11 / Max: 34.27 Min: 37.96 / Avg: 38.01 / Max: 38.06 Min: 34.31 / Avg: 34.38 / Max: 34.48 Min: 32.96 / Avg: 33.08 / Max: 33.27 Min: 38.57 / Avg: 38.59 / Max: 38.62 Min: 32.93 / Avg: 33.06 / Max: 33.13 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 16 32 48 64 80 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 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 18.87 29.16 39.75 73.43 20.80 51.77 18.66 25.28 33.80 23.97 41.24 60.40 25.88 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 14 28 42 56 70 Min: 18.86 / Avg: 18.87 / Max: 18.88 Min: 29.15 / Avg: 29.16 / Max: 29.17 Min: 39.75 / Avg: 39.75 / Max: 39.76 Min: 73.43 / Avg: 73.43 / Max: 73.44 Min: 20.77 / Avg: 20.8 / Max: 20.82 Min: 51.75 / Avg: 51.77 / Max: 51.78 Min: 18.65 / Avg: 18.66 / Max: 18.66 Min: 25.27 / Avg: 25.28 / Max: 25.31 Min: 33.79 / Avg: 33.8 / Max: 33.81 Min: 23.96 / Avg: 23.97 / Max: 23.98 Min: 41.2 / Avg: 41.24 / Max: 41.3 Min: 60.39 / Avg: 60.4 / Max: 60.41 Min: 25.87 / Avg: 25.88 / Max: 25.91 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 137.28 137.09 135.18 131.18 135.14 131.15 135.24 137.34 159.60 139.25 130.88 159.79 135.01 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Mpx/s Per Watt
OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 0.7 Configuration: ETC2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 0.7358 1.4716 2.2074 2.9432 3.679 2.00 2.87 2.79 3.27 2.39 3.24 2.00 2.86 2.29 2.91 3.16 3.07 2.02
Result Confidence
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30 60 90 120 150 Min: 137.26 / Avg: 137.28 / Max: 137.3 Min: 136.98 / Avg: 137.09 / Max: 137.3 Min: 135.12 / Avg: 135.18 / Max: 135.24 Min: 131.16 / Avg: 131.18 / Max: 131.22 Min: 135.11 / Avg: 135.14 / Max: 135.2 Min: 131.11 / Avg: 131.15 / Max: 131.19 Min: 135.2 / Avg: 135.23 / Max: 135.25 Min: 137.34 / Avg: 137.34 / Max: 137.35 Min: 159.56 / Avg: 159.6 / Max: 159.65 Min: 139.03 / Avg: 139.25 / Max: 139.39 Min: 130.77 / Avg: 130.88 / Max: 131.05 Min: 159.77 / Avg: 159.79 / Max: 159.8 Min: 134.91 / Avg: 135.01 / Max: 135.17 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.3314 0.6628 0.9942 1.3256 1.657 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.279 0.480 0.679 1.473 0.316 0.908 0.267 0.407 0.630 0.382 0.729 1.173 0.426 0.323 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.48 / Avg: 0.48 / Max: 0.48 Min: 0.68 / Avg: 0.68 / Max: 0.68 Min: 1.47 / Avg: 1.47 / Max: 1.48 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.9 / Avg: 0.91 / Max: 0.91 Min: 0.26 / Avg: 0.27 / Max: 0.27 Min: 0.41 / Avg: 0.41 / Max: 0.41 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.73 / Avg: 0.73 / Max: 0.73 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 0.43 / Avg: 0.43 / Max: 0.43 Min: 0.32 / Avg: 0.32 / Max: 0.32 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K SE +/- 5067.03, N = 3 SE +/- 1318.12, N = 3 SE +/- 891.46, N = 3 SE +/- 518.37, N = 3 SE +/- 3710.21, N = 3 SE +/- 696.35, N = 3 SE +/- 6923.68, N = 3 SE +/- 1108.32, N = 3 SE +/- 248.26, N = 3 SE +/- 1178.79, N = 3 SE +/- 804.68, N = 3 SE +/- 681.51, N = 3 SE +/- 853.89, N = 3 SE +/- 1360.28, N = 3 899992 521653 368449 169832 791456 275677 939750 614183 397038 655774 343229 213345 587548 775687 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 160K 320K 480K 640K 800K Min: 889916.01 / Avg: 899992.3 / Max: 905966.24 Min: 519362.06 / Avg: 521653.42 / Max: 523928.08 Min: 367104.95 / Avg: 368449.41 / Max: 370135.74 Min: 168803.67 / Avg: 169832.3 / Max: 170458.78 Min: 784040.65 / Avg: 791455.71 / Max: 795407.24 Min: 274390.74 / Avg: 275676.66 / Max: 276782.78 Min: 926183.25 / Avg: 939750.48 / Max: 948934.04 Min: 613074.34 / Avg: 614182.67 / Max: 616399.31 Min: 396660.01 / Avg: 397038.18 / Max: 397505.91 Min: 654021.41 / Avg: 655774.08 / Max: 658015.96 Min: 341698.14 / Avg: 343228.63 / Max: 344424.83 Min: 212208.72 / Avg: 213344.58 / Max: 214564.99 Min: 585986.61 / Avg: 587547.73 / Max: 588927.93 Min: 773949.79 / Avg: 775687.15 / Max: 778368.93 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1222 0.2444 0.3666 0.4888 0.611 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.112 0.201 0.280 0.543 0.120 0.359 0.109 0.164 0.263 0.153 0.290 0.464 0.173 0.120 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.26 / Avg: 0.26 / Max: 0.26 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.46 / Avg: 0.46 / Max: 0.47 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.12 / Avg: 0.12 / Max: 0.12 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200K 400K 600K 800K 1000K SE +/- 3714.01, N = 3 SE +/- 1145.86, N = 3 SE +/- 406.00, N = 3 SE +/- 258.28, N = 3 SE +/- 2696.01, N = 3 SE +/- 527.65, N = 3 SE +/- 2726.39, N = 3 SE +/- 1605.99, N = 3 SE +/- 501.41, N = 3 SE +/- 684.57, N = 3 SE +/- 721.66, N = 3 SE +/- 196.73, N = 3 SE +/- 1146.88, N = 3 SE +/- 492.11, N = 3 897453 499138 357781 184251 832509 278510 915523 610667 381184 654914 344598 215617 578340 835457 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 160K 320K 480K 640K 800K Min: 891671.21 / Avg: 897453.24 / Max: 904382.54 Min: 497224.75 / Avg: 499138.43 / Max: 501187.22 Min: 357317.88 / Avg: 357781.31 / Max: 358590.46 Min: 183809.92 / Avg: 184251.3 / Max: 184704.38 Min: 827135.25 / Avg: 832508.89 / Max: 835580.98 Min: 277469.8 / Avg: 278509.56 / Max: 279185.65 Min: 911128.88 / Avg: 915522.69 / Max: 920516.11 Min: 608958.8 / Avg: 610666.61 / Max: 613876.39 Min: 380600.92 / Avg: 381183.76 / Max: 382181.9 Min: 654192.39 / Avg: 654914.4 / Max: 656282.85 Min: 343314.32 / Avg: 344597.63 / Max: 345811.31 Min: 215250.14 / Avg: 215616.98 / Max: 215923.6 Min: 576053.18 / Avg: 578339.82 / Max: 579639.5 Min: 834632.97 / Avg: 835456.65 / Max: 836335.05 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 3 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 SE +/- 0.20, N = 3 SE +/- 0.48, N = 3 SE +/- 0.22, N = 3 SE +/- 0.11, N = 3 SE +/- 0.24, N = 3 33.27 34.31 34.84 45.21 33.96 38.07 33.41 32.65 29.45 32.87 36.35 35.67 33.43 33.60
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 Min: 32.84 / Avg: 33.27 / Max: 33.73 Min: 33.83 / Avg: 34.31 / Max: 34.61 Min: 34.65 / Avg: 34.84 / Max: 35.01 Min: 45 / Avg: 45.21 / Max: 45.37 Min: 33.82 / Avg: 33.96 / Max: 34.23 Min: 37.91 / Avg: 38.07 / Max: 38.32 Min: 32.9 / Avg: 33.41 / Max: 34.08 Min: 32.15 / Avg: 32.64 / Max: 33.08 Min: 29.13 / Avg: 29.45 / Max: 29.83 Min: 32.54 / Avg: 32.87 / Max: 33.22 Min: 35.71 / Avg: 36.35 / Max: 37.28 Min: 35.42 / Avg: 35.67 / Max: 36.1 Min: 33.26 / Avg: 33.43 / Max: 33.62 Min: 33.36 / Avg: 33.6 / Max: 34.09
miniFE MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K SE +/- 34.52, N = 3 SE +/- 5.98, N = 3 SE +/- 24.99, N = 3 SE +/- 10.40, N = 3 SE +/- 68.31, N = 3 SE +/- 16.20, N = 3 SE +/- 5.01, N = 3 SE +/- 22.39, N = 3 SE +/- 66.01, N = 14 SE +/- 5.12, N = 3 SE +/- 1.40, N = 3 SE +/- 8.04, N = 3 SE +/- 8.80, N = 3 SE +/- 29.81, N = 3 19155.40 16743.60 17082.40 10156.60 18424.10 10066.60 19256.70 16649.50 6787.06 16649.70 10003.60 17351.20 19645.40 19436.30 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
CG Mflops Per Watt
OpenBenchmarking.org CG Mflops Per Watt, More Is Better miniFE 2.2 Problem Size: Small EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 139.02 160.96 181.39 147.34 149.38 132.41 142.84 152.21 52.66 157.73 128.37 167.09 152.28 140.60
Result Confidence
OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3K 6K 9K 12K 15K Min: 19088.2 / Avg: 19155.37 / Max: 19202.8 Min: 16735 / Avg: 16743.6 / Max: 16755.1 Min: 17033.7 / Avg: 17082.43 / Max: 17116.4 Min: 10136.2 / Avg: 10156.6 / Max: 10170.3 Min: 18336.1 / Avg: 18424.1 / Max: 18558.6 Min: 10034.4 / Avg: 10066.63 / Max: 10085.6 Min: 19250.6 / Avg: 19256.67 / Max: 19266.6 Min: 16604.7 / Avg: 16649.47 / Max: 16672.4 Min: 5976.74 / Avg: 6787.06 / Max: 6965.65 Min: 16643.8 / Avg: 16649.7 / Max: 16659.9 Min: 10000.9 / Avg: 10003.63 / Max: 10005.5 Min: 17335.9 / Avg: 17351.17 / Max: 17363.2 Min: 19632.2 / Avg: 19645.43 / Max: 19662.1 Min: 19380.5 / Avg: 19436.3 / Max: 19482.4 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4K 8K 12K 16K 20K SE +/- 57.10, N = 3 SE +/- 16.45, N = 3 SE +/- 6.53, N = 3 SE +/- 24.34, N = 3 SE +/- 24.65, N = 3 SE +/- 8.24, N = 3 SE +/- 64.33, N = 3 SE +/- 30.09, N = 3 SE +/- 17.97, N = 3 SE +/- 32.93, N = 3 SE +/- 16.90, N = 3 SE +/- 13.57, N = 3 SE +/- 125.44, N = 9 19577.03 13570.83 9499.33 4965.96 18192.32 7332.82 19990.75 16396.57 8415.19 17266.21 9134.72 5638.53 15568.24 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30 60 90 120 150 109.94 92.04 79.41 67.53 110.23 75.36 115.18 114.89 42.43 104.78 93.40 51.33 98.20
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K Min: 19482.9 / Avg: 19577.03 / Max: 19680.11 Min: 13539.78 / Avg: 13570.83 / Max: 13595.76 Min: 9488.78 / Avg: 9499.33 / Max: 9511.28 Min: 4920.56 / Avg: 4965.96 / Max: 5003.89 Min: 18145.03 / Avg: 18192.32 / Max: 18228.03 Min: 7316.76 / Avg: 7332.82 / Max: 7344.03 Min: 19911.11 / Avg: 19990.75 / Max: 20118.07 Min: 16363.28 / Avg: 16396.57 / Max: 16456.63 Min: 8394.92 / Avg: 8415.19 / Max: 8451.03 Min: 17206.64 / Avg: 17266.21 / Max: 17320.33 Min: 9104 / Avg: 9134.72 / Max: 9162.29 Min: 5624.62 / Avg: 5638.53 / Max: 5665.66 Min: 14571.02 / Avg: 15568.24 / Max: 15743.07 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Parboil The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP LBM EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.26, N = 3 SE +/- 0.07, N = 3 SE +/- 0.26, N = 5 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 23.32 29.02 24.92 45.76 26.47 42.95 23.82 27.60 35.42 27.64 46.07 27.25 22.94 21.94 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP LBM EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 Min: 23.22 / Avg: 23.32 / Max: 23.46 Min: 28.89 / Avg: 29.02 / Max: 29.09 Min: 24.77 / Avg: 24.92 / Max: 25.05 Min: 45.56 / Avg: 45.76 / Max: 46.03 Min: 26.02 / Avg: 26.47 / Max: 26.92 Min: 42.88 / Avg: 42.95 / Max: 43.08 Min: 23.2 / Avg: 23.82 / Max: 24.72 Min: 27.55 / Avg: 27.6 / Max: 27.63 Min: 35.36 / Avg: 35.42 / Max: 35.47 Min: 27.53 / Avg: 27.64 / Max: 27.7 Min: 46.05 / Avg: 46.07 / Max: 46.1 Min: 27.2 / Avg: 27.25 / Max: 27.28 Min: 22.73 / Avg: 22.94 / Max: 23.1 Min: 21.88 / Avg: 21.94 / Max: 21.99 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.03, 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 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 20.2 20.2 20.4 21.1 20.5 21.0 20.5 19.9 17.5 19.9 21.3 17.2 20.4 20.5
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 20.2 / Avg: 20.23 / Max: 20.3 Min: 20.4 / Avg: 20.43 / Max: 20.5 Min: 21.1 / Avg: 21.1 / Max: 21.1 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.9 / Avg: 20.97 / Max: 21 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 19.9 / Avg: 19.9 / Max: 19.9 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 19.8 / Avg: 19.87 / Max: 19.9 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 17.2 / Avg: 17.2 / Max: 17.2 Min: 20.4 / Avg: 20.43 / Max: 20.5 Min: 20.5 / Avg: 20.5 / Max: 20.5
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 4 SE +/- 0.02, 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 = 4 12.85 25.68 38.49 79.17 15.21 52.81 12.82 20.91 32.58 19.55 39.66 64.97 21.43 15.04 1. (CC) gcc options: -lm -lpthread -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 15 30 45 60 75 Min: 12.83 / Avg: 12.85 / Max: 12.87 Min: 25.67 / Avg: 25.68 / Max: 25.7 Min: 38.48 / Avg: 38.49 / Max: 38.51 Min: 79.13 / Avg: 79.17 / Max: 79.22 Min: 15.17 / Avg: 15.21 / Max: 15.24 Min: 52.8 / Avg: 52.81 / Max: 52.82 Min: 12.79 / Avg: 12.81 / Max: 12.87 Min: 20.89 / Avg: 20.91 / Max: 20.94 Min: 32.55 / Avg: 32.58 / Max: 32.61 Min: 19.49 / Avg: 19.55 / Max: 19.6 Min: 39.61 / Avg: 39.66 / Max: 39.7 Min: 64.93 / Avg: 64.97 / Max: 64.99 Min: 21.4 / Avg: 21.43 / Max: 21.45 Min: 15.01 / Avg: 15.04 / Max: 15.06 1. (CC) gcc options: -lm -lpthread -O3
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 16.67 8.77 6.07 2.82 14.29 4.39 16.95 10.60 6.83 11.36 5.65 3.65 10.42 14.49 MIN: 16.39 / MAX: 16.95 MIN: 8.62 / MAX: 8.85 MIN: 5.99 / MAX: 6.13 MIN: 2.79 / MAX: 2.86 MIN: 13.89 / MAX: 14.49 MIN: 4.33 / MAX: 4.44 MIN: 16.39 / MAX: 17.24 MIN: 10.42 / MAX: 10.75 MIN: 6.67 / MAX: 6.94 MIN: 11.11 / MAX: 11.49 MIN: 5.59 / MAX: 5.75 MIN: 3.58 / MAX: 3.69 MIN: 10.2 / MAX: 10.53 MIN: 14.08 / MAX: 14.71
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.027 0.054 0.081 0.108 0.135 0.11 0.06 0.05 0.04 0.10 0.05 0.12 0.08 0.03 0.08 0.06 0.03 0.07 0.09
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 16.67 / Avg: 16.67 / Max: 16.67 Min: 8.77 / Avg: 8.77 / Max: 8.77 Min: 6.06 / Avg: 6.07 / Max: 6.1 Min: 2.82 / Avg: 2.82 / Max: 2.83 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 16.95 / Avg: 16.95 / Max: 16.95 Min: 10.53 / Avg: 10.6 / Max: 10.64 Min: 6.8 / Avg: 6.83 / Max: 6.85 Min: 11.36 / Avg: 11.36 / Max: 11.36 Min: 5.65 / Avg: 5.65 / Max: 5.65 Min: 3.64 / Avg: 3.65 / Max: 3.65 Min: 10.42 / Avg: 10.42 / Max: 10.42 Min: 14.49 / Avg: 14.49 / Max: 14.49
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20K 40K 60K 80K 100K SE +/- 34.41, N = 3 SE +/- 81.46, N = 3 SE +/- 3.68, N = 3 SE +/- 12.95, N = 3 SE +/- 82.31, N = 3 SE +/- 24.66, N = 3 SE +/- 298.03, N = 3 SE +/- 106.91, N = 3 SE +/- 82.34, N = 3 SE +/- 207.08, N = 3 SE +/- 22.56, N = 3 SE +/- 31.62, N = 3 SE +/- 26.26, N = 3 SE +/- 281.17, N = 3 102548.95 74421.61 61041.27 33816.48 95079.41 43321.38 103985.91 78846.96 44891.69 79644.88 49617.92 43172.51 86547.28 99557.23 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 140 280 420 560 700 629.05 607.37 593.84 486.72 655.10 529.25 660.15 616.99 297.36 638.72 573.26 419.08 572.31 602.66
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20K 40K 60K 80K 100K Min: 102490.22 / Avg: 102548.95 / Max: 102609.37 Min: 74315 / Avg: 74421.61 / Max: 74581.6 Min: 61034.85 / Avg: 61041.27 / Max: 61047.59 Min: 33792.21 / Avg: 33816.48 / Max: 33836.43 Min: 94922.44 / Avg: 95079.41 / Max: 95200.87 Min: 43285.83 / Avg: 43321.38 / Max: 43368.77 Min: 103567 / Avg: 103985.91 / Max: 104562.59 Min: 78710.27 / Avg: 78846.96 / Max: 79057.7 Min: 44754.21 / Avg: 44891.69 / Max: 45038.95 Min: 79399.38 / Avg: 79644.88 / Max: 80056.49 Min: 49572.87 / Avg: 49617.92 / Max: 49642.69 Min: 43122.35 / Avg: 43172.51 / Max: 43230.93 Min: 86498.25 / Avg: 86547.28 / Max: 86588.09 Min: 98994.91 / Avg: 99557.23 / Max: 99842.55 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.00813, N = 3 SE +/- 0.00832, N = 3 SE +/- 0.01740, N = 3 SE +/- 0.02020, N = 3 SE +/- 0.01668, N = 15 SE +/- 0.00923, N = 3 SE +/- 0.01627, N = 15 SE +/- 0.01343, N = 3 SE +/- 0.00961, N = 3 SE +/- 0.00152, N = 3 SE +/- 0.01071, N = 3 SE +/- 0.06606, N = 3 SE +/- 0.01295, N = 3 SE +/- 0.02012, N = 3 2.33519 2.48977 3.28377 6.12261 2.15794 4.44077 2.02231 2.19727 2.75743 2.04866 3.50175 5.03236 2.22242 1.98726 MIN: 2.08 MIN: 2.4 MIN: 3.08 MIN: 5.93 MIN: 1.99 MIN: 4.2 MIN: 1.84 MIN: 2.12 MIN: 2.63 MIN: 1.99 MIN: 3.1 MIN: 4.86 MIN: 2.06 MIN: 1.87 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 2.32 / Avg: 2.34 / Max: 2.35 Min: 2.48 / Avg: 2.49 / Max: 2.51 Min: 3.25 / Avg: 3.28 / Max: 3.3 Min: 6.1 / Avg: 6.12 / Max: 6.16 Min: 2.07 / Avg: 2.16 / Max: 2.28 Min: 4.43 / Avg: 4.44 / Max: 4.46 Min: 1.93 / Avg: 2.02 / Max: 2.15 Min: 2.18 / Avg: 2.2 / Max: 2.22 Min: 2.74 / Avg: 2.76 / Max: 2.77 Min: 2.05 / Avg: 2.05 / Max: 2.05 Min: 3.49 / Avg: 3.5 / Max: 3.52 Min: 4.94 / Avg: 5.03 / Max: 5.16 Min: 2.21 / Avg: 2.22 / Max: 2.25 Min: 1.95 / Avg: 1.99 / Max: 2.02 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 4 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 25.04 23.84 20.44 9.20 25.36 17.09 25.65 25.13 20.00 25.21 20.03 10.20 23.71 25.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0518 0.1036 0.1554 0.2072 0.259 0.18 0.21 0.20 0.14 0.21 0.20 0.20 0.22 0.12 0.23 0.23 0.11 0.18 0.18
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 Min: 24.94 / Avg: 25.04 / Max: 25.19 Min: 23.72 / Avg: 23.84 / Max: 23.98 Min: 20.34 / Avg: 20.44 / Max: 20.61 Min: 9.07 / Avg: 9.2 / Max: 9.37 Min: 25.3 / Avg: 25.36 / Max: 25.48 Min: 16.96 / Avg: 17.09 / Max: 17.21 Min: 25.41 / Avg: 25.65 / Max: 26.06 Min: 25.08 / Avg: 25.13 / Max: 25.16 Min: 19.78 / Avg: 20 / Max: 20.2 Min: 25.09 / Avg: 25.21 / Max: 25.34 Min: 19.97 / Avg: 20.03 / Max: 20.1 Min: 9.85 / Avg: 10.2 / Max: 10.45 Min: 23.64 / Avg: 23.71 / Max: 23.81 Min: 25.14 / Avg: 25.23 / Max: 25.39 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.8775 1.755 2.6325 3.51 4.3875 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.38 3.42 3.36 3.08 3.37 3.19 3.36 3.42 3.90 3.48 3.23 3.73 3.37 3.33 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0158 0.0316 0.0474 0.0632 0.079 0.04 0.06 0.06 0.07 0.05 0.07 0.05 0.06 0.05 0.06 0.07 0.06 0.05 0.05
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 3.38 / Avg: 3.38 / Max: 3.39 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 3.33 / Avg: 3.36 / Max: 3.37 Min: 3.07 / Avg: 3.08 / Max: 3.1 Min: 3.37 / Avg: 3.37 / Max: 3.38 Min: 3.18 / Avg: 3.19 / Max: 3.21 Min: 3.36 / Avg: 3.36 / Max: 3.36 Min: 3.41 / Avg: 3.42 / Max: 3.43 Min: 3.89 / Avg: 3.9 / Max: 3.91 Min: 3.48 / Avg: 3.48 / Max: 3.48 Min: 3.21 / Avg: 3.23 / Max: 3.27 Min: 3.73 / Avg: 3.73 / Max: 3.74 Min: 3.36 / Avg: 3.37 / Max: 3.37 Min: 3.32 / Avg: 3.33 / Max: 3.35 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Pennant Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 15 30 45 60 75 SE +/- 0.03, N = 4 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 4 SE +/- 0.11, N = 3 SE +/- 0.03, N = 4 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 11.94 25.89 34.03 66.42 15.35 49.11 11.80 23.03 25.88 22.23 41.69 52.79 18.06 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 13 26 39 52 65 Min: 11.88 / Avg: 11.94 / Max: 12 Min: 25.8 / Avg: 25.89 / Max: 25.96 Min: 33.93 / Avg: 34.03 / Max: 34.16 Min: 66.13 / Avg: 66.42 / Max: 66.58 Min: 15.3 / Avg: 15.35 / Max: 15.39 Min: 48.99 / Avg: 49.11 / Max: 49.32 Min: 11.75 / Avg: 11.8 / Max: 11.87 Min: 22.87 / Avg: 23.03 / Max: 23.23 Min: 25.85 / Avg: 25.88 / Max: 25.92 Min: 22.07 / Avg: 22.23 / Max: 22.32 Min: 41.58 / Avg: 41.69 / Max: 41.79 Min: 52.75 / Avg: 52.79 / Max: 52.81 Min: 18.03 / Avg: 18.06 / Max: 18.09 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
ebizzy This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 600K 1200K 1800K 2400K 3000K SE +/- 25794.01, N = 15 SE +/- 15686.47, N = 3 SE +/- 8057.83, N = 3 SE +/- 4933.88, N = 3 SE +/- 24033.50, N = 3 SE +/- 906.56, N = 3 SE +/- 34594.95, N = 12 SE +/- 10663.27, N = 3 SE +/- 7117.75, N = 3 SE +/- 8453.72, N = 3 SE +/- 8956.45, N = 3 SE +/- 6904.71, N = 7 SE +/- 15669.57, N = 3 SE +/- 37169.94, N = 3 2701767 1721854 1208466 623272 2456511 883965 2762647 1947836 1475280 2136850 1021990 776880 1977325 2719388 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
Records/s Per Watt
OpenBenchmarking.org Records/s Per Watt, More Is Better ebizzy 0.3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K 16026.57 12779.06 10725.42 7399.84 15696.63 9696.42 16672.76 14373.63 7194.42 13548.39 11127.27 5966.03 13352.11 15813.47
Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 500K 1000K 1500K 2000K 2500K Min: 2510210 / Avg: 2701767.07 / Max: 2845248 Min: 1691610 / Avg: 1721854 / Max: 1744199 Min: 1192406 / Avg: 1208466.33 / Max: 1217652 Min: 616705 / Avg: 623272 / Max: 632934 Min: 2420178 / Avg: 2456510.67 / Max: 2501931 Min: 882270 / Avg: 883965 / Max: 885370 Min: 2508914 / Avg: 2762646.92 / Max: 2926207 Min: 1926759 / Avg: 1947835.67 / Max: 1961193 Min: 1461618 / Avg: 1475280 / Max: 1485575 Min: 2127912 / Avg: 2136850 / Max: 2153748 Min: 1009030 / Avg: 1021990 / Max: 1039179 Min: 747575 / Avg: 776880.43 / Max: 796470 Min: 1951917 / Avg: 1977324.67 / Max: 2005917 Min: 2645052 / Avg: 2719388 / Max: 2757214 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K SE +/- 36.93, N = 3 SE +/- 43.01, N = 3 SE +/- 18.80, N = 3 SE +/- 37.22, N = 3 SE +/- 23.29, N = 3 SE +/- 27.35, N = 3 SE +/- 27.42, N = 3 SE +/- 5.92, N = 3 SE +/- 24.26, N = 3 SE +/- 47.44, N = 3 SE +/- 7.93, N = 3 SE +/- 42.46, N = 3 SE +/- 41.47, N = 3 10996.1 10951.0 11006.6 10936.6 10920.5 10929.9 10926.3 10968.6 10701.3 10993.2 10898.3 11210.0 10931.6 1. (CC) gcc options: -O3
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 142.24 202.51 201.84 237.48 172.19 234.75 147.64 200.00 139.96 202.37 227.91 189.50 146.91
Result Confidence
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K Min: 10957.3 / Avg: 10996.07 / Max: 11069.9 Min: 10899.4 / Avg: 10951 / Max: 11036.4 Min: 10976.1 / Avg: 11006.63 / Max: 11040.9 Min: 10862.2 / Avg: 10936.63 / Max: 10975.1 Min: 10874.2 / Avg: 10920.47 / Max: 10948.2 Min: 10878.3 / Avg: 10929.9 / Max: 10971.4 Min: 10874.5 / Avg: 10926.3 / Max: 10967.8 Min: 10961.1 / Avg: 10968.63 / Max: 10980.3 Min: 10654.2 / Avg: 10701.33 / Max: 10734.9 Min: 10916.9 / Avg: 10993.2 / Max: 11080.2 Min: 10885.6 / Avg: 10898.33 / Max: 10912.9 Min: 11129.3 / Avg: 11209.97 / Max: 11273.3 Min: 10851.3 / Avg: 10931.63 / Max: 10989.7 1. (CC) gcc options: -O3
Result
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K SE +/- 50.78, N = 3 SE +/- 57.96, N = 3 SE +/- 29.02, N = 3 SE +/- 52.82, N = 3 SE +/- 18.08, N = 3 SE +/- 18.11, N = 3 SE +/- 19.08, N = 3 SE +/- 5.54, N = 3 SE +/- 19.46, N = 3 SE +/- 14.87, N = 3 SE +/- 8.54, N = 3 SE +/- 52.96, N = 3 SE +/- 55.86, N = 3 9496.00 9472.86 9428.77 9421.69 9369.35 9365.44 9376.86 9464.00 9461.09 9468.59 9360.35 9802.81 9434.31 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K Min: 9444.69 / Avg: 9496 / Max: 9597.56 Min: 9413.59 / Avg: 9472.86 / Max: 9588.77 Min: 9379.2 / Avg: 9428.77 / Max: 9479.71 Min: 9316.16 / Avg: 9421.69 / Max: 9478.74 Min: 9339.76 / Avg: 9369.35 / Max: 9402.14 Min: 9344.67 / Avg: 9365.44 / Max: 9401.53 Min: 9351.87 / Avg: 9376.86 / Max: 9414.33 Min: 9454.4 / Avg: 9464 / Max: 9473.6 Min: 9423.06 / Avg: 9461.09 / Max: 9487.27 Min: 9438.88 / Avg: 9468.59 / Max: 9484.45 Min: 9345.51 / Avg: 9360.35 / Max: 9375.08 Min: 9744.32 / Avg: 9802.81 / Max: 9908.52 Min: 9377.21 / Avg: 9434.31 / Max: 9546.03 1. (CC) gcc options: -O3
TTSIOD 3D Renderer A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 SE +/- 4.91, N = 3 SE +/- 2.84, N = 3 SE +/- 1.71, N = 3 SE +/- 0.73, N = 3 SE +/- 6.72, N = 12 SE +/- 0.85, N = 3 SE +/- 3.57, N = 3 SE +/- 2.79, N = 3 SE +/- 0.21, N = 3 SE +/- 1.67, N = 3 SE +/- 1.34, N = 3 SE +/- 0.88, N = 3 SE +/- 3.72, N = 3 SE +/- 12.71, N = 3 792.50 721.30 551.97 327.45 933.04 457.13 873.42 857.99 589.10 858.47 563.20 359.54 849.27 889.39 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 5.54 7.79 7.06 5.67 8.10 6.96 6.31 8.75 4.63 9.07 8.15 4.41 7.17 6.80
Result Confidence
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 160 320 480 640 800 Min: 782.72 / Avg: 792.5 / Max: 798.09 Min: 716.79 / Avg: 721.3 / Max: 726.53 Min: 548.55 / Avg: 551.97 / Max: 553.8 Min: 326.51 / Avg: 327.45 / Max: 328.88 Min: 896.62 / Avg: 933.04 / Max: 961.45 Min: 455.79 / Avg: 457.13 / Max: 458.72 Min: 866.7 / Avg: 873.42 / Max: 878.89 Min: 853.39 / Avg: 857.99 / Max: 863.04 Min: 588.69 / Avg: 589.1 / Max: 589.38 Min: 855.29 / Avg: 858.47 / Max: 860.96 Min: 561.8 / Avg: 563.2 / Max: 565.87 Min: 357.91 / Avg: 359.54 / Max: 360.93 Min: 843.53 / Avg: 849.27 / Max: 856.24 Min: 864.6 / Avg: 889.39 / Max: 906.7 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 19.84 19.88 19.11 17.30 19.63 17.83 19.59 19.97 21.76 20.19 18.92 20.22 19.51 19.48 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.072 0.144 0.216 0.288 0.36 0.22 0.29 0.29 0.31 0.26 0.31 0.23 0.30 0.21 0.30 0.32 0.26 0.23 0.23
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 19.82 / Avg: 19.84 / Max: 19.86 Min: 19.75 / Avg: 19.88 / Max: 19.97 Min: 18.83 / Avg: 19.11 / Max: 19.38 Min: 17.21 / Avg: 17.3 / Max: 17.37 Min: 19.61 / Avg: 19.63 / Max: 19.66 Min: 17.77 / Avg: 17.83 / Max: 17.92 Min: 19.58 / Avg: 19.59 / Max: 19.6 Min: 19.9 / Avg: 19.97 / Max: 20.03 Min: 21.73 / Avg: 21.76 / Max: 21.79 Min: 20.17 / Avg: 20.19 / Max: 20.22 Min: 18.8 / Avg: 18.92 / Max: 19.03 Min: 20.16 / Avg: 20.22 / Max: 20.28 Min: 19.46 / Avg: 19.51 / Max: 19.57 Min: 19.45 / Avg: 19.48 / Max: 19.52 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 400 800 1200 1600 2000 SE +/- 4.04, N = 3 SE +/- 2.26, N = 3 SE +/- 2.89, N = 3 SE +/- 11.89, N = 3 SE +/- 3.36, N = 3 SE +/- 9.24, N = 3 SE +/- 5.74, N = 3 SE +/- 1.26, N = 3 SE +/- 5.70, N = 3 SE +/- 1.95, N = 3 1971.50 1647.78 1083.36 2006.81 1884.31 934.00 1885.98 1422.07 1277.15 1992.76 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 5 10 15 20 25 12.90 19.55 18.48 13.49 17.73 7.29 18.15 19.39 15.36 15.32
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 300 600 900 1200 1500 Min: 1965.15 / Avg: 1971.5 / Max: 1979 Min: 1643.54 / Avg: 1647.78 / Max: 1651.27 Min: 1077.67 / Avg: 1083.36 / Max: 1087.08 Min: 1983.12 / Avg: 2006.81 / Max: 2020.44 Min: 1880.37 / Avg: 1884.31 / Max: 1890.99 Min: 920.59 / Avg: 934 / Max: 951.73 Min: 1876.61 / Avg: 1885.98 / Max: 1896.4 Min: 1420.09 / Avg: 1422.07 / Max: 1424.4 Min: 1269.25 / Avg: 1277.15 / Max: 1288.21 Min: 1988.95 / Avg: 1992.76 / Max: 1995.4 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
rav1e Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 10 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.767 1.534 2.301 3.068 3.835 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.017, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 2.970 2.967 2.926 2.822 2.929 2.861 2.926 2.929 3.365 3.004 2.838 3.409 2.937 2.894
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.4 Speed: 10 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0135 0.027 0.0405 0.054 0.0675 0.04 0.06 0.05 0.06 0.05 0.06 0.04 0.05 0.04 0.06 0.06 0.06 0.04 0.04
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 10 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 2.95 / Avg: 2.97 / Max: 2.98 Min: 2.96 / Avg: 2.97 / Max: 2.97 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 2.81 / Avg: 2.82 / Max: 2.83 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 2.91 / Avg: 2.93 / Max: 2.94 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 3.35 / Avg: 3.36 / Max: 3.4 Min: 2.99 / Avg: 3 / Max: 3.02 Min: 2.82 / Avg: 2.84 / Max: 2.85 Min: 3.39 / Avg: 3.41 / Max: 3.42 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.88 / Avg: 2.89 / Max: 2.9
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.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K SE +/- 33.88, N = 3 SE +/- 21.24, N = 3 SE +/- 34.67, N = 3 SE +/- 5.69, N = 3 SE +/- 25.58, N = 3 SE +/- 6.17, N = 3 SE +/- 8.45, N = 3 SE +/- 18.74, N = 3 SE +/- 20.53, N = 3 SE +/- 4.93, N = 3 SE +/- 3.19, N = 3 SE +/- 4.75, N = 3 SE +/- 14.29, N = 3 SE +/- 34.97, N = 3 8248.3 8033.0 7699.4 5123.2 8172.0 6498.4 8287.7 7903.6 7899.7 7885.0 6706.2 6573.9 8476.3 8499.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 94.05 124.95 124.18 101.96 108.55 122.04 98.16 121.39 86.38 121.69 123.70 96.70 100.70 102.10
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1500 3000 4500 6000 7500 Min: 8204.5 / Avg: 8248.33 / Max: 8315 Min: 7990.6 / Avg: 8033.03 / Max: 8056 Min: 7651 / Avg: 7699.4 / Max: 7766.6 Min: 5117.2 / Avg: 5123.23 / Max: 5134.6 Min: 8129 / Avg: 8172.03 / Max: 8217.5 Min: 6486.1 / Avg: 6498.4 / Max: 6505.4 Min: 8277.2 / Avg: 8287.67 / Max: 8304.4 Min: 7870.9 / Avg: 7903.63 / Max: 7935.8 Min: 7860.7 / Avg: 7899.7 / Max: 7930.3 Min: 7875.6 / Avg: 7885 / Max: 7892.3 Min: 6700.4 / Avg: 6706.17 / Max: 6711.4 Min: 6567.3 / Avg: 6573.87 / Max: 6583.1 Min: 8449.2 / Avg: 8476.3 / Max: 8497.7 Min: 8460.8 / Avg: 8499.17 / Max: 8569 1. (CC) gcc options: -O3 -pthread -lz -llzma
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Stress EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4K 8K 12K 16K 20K SE +/- 24.42, N = 3 SE +/- 3.25, N = 3 SE +/- 1.11, N = 3 SE +/- 8.87, N = 3 SE +/- 23.53, N = 3 SE +/- 5.85, N = 3 SE +/- 45.79, N = 3 SE +/- 8.85, N = 3 SE +/- 1.01, N = 3 SE +/- 39.53, N = 3 SE +/- 4.51, N = 3 SE +/- 4.39, N = 3 SE +/- 14.79, N = 3 19926.61 8541.12 5622.82 2708.90 15958.16 4078.21 20174.76 11121.59 6629.06 11234.60 5463.45 3306.39 10901.47 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: CPU Stress EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30 60 90 120 150 119.94 79.28 68.61 48.74 108.92 61.95 125.49 96.72 47.44 94.22 75.08 41.61 82.69
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Stress EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K Min: 19890.13 / Avg: 19926.61 / Max: 19972.98 Min: 8535.73 / Avg: 8541.12 / Max: 8546.95 Min: 5620.68 / Avg: 5622.82 / Max: 5624.41 Min: 2691.46 / Avg: 2708.9 / Max: 2720.48 Min: 15919.41 / Avg: 15958.16 / Max: 16000.66 Min: 4067.37 / Avg: 4078.21 / Max: 4087.43 Min: 20083.31 / Avg: 20174.76 / Max: 20224.79 Min: 11109.84 / Avg: 11121.59 / Max: 11138.93 Min: 6628.02 / Avg: 6629.06 / Max: 6631.08 Min: 11159.1 / Avg: 11234.6 / Max: 11292.66 Min: 5456.78 / Avg: 5463.45 / Max: 5472.04 Min: 3301.92 / Avg: 3306.39 / Max: 3315.16 Min: 10874.37 / Avg: 10901.47 / Max: 10925.3 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 16K 32K 48K 64K 80K SE +/- 15.77, N = 3 SE +/- 1.00, N = 3 SE +/- 3.06, N = 3 SE +/- 2.31, N = 3 SE +/- 72.25, N = 3 SE +/- 4.10, N = 3 SE +/- 4.67, N = 3 SE +/- 8.37, N = 3 SE +/- 3.33, N = 3 SE +/- 17.06, N = 3 SE +/- 12.17, N = 3 SE +/- 1.67, N = 3 SE +/- 9.84, N = 3 SE +/- 3.00, N = 3 70033 33755 22314 10825 59963 16224 73579 43703 26345 44596 21454 13183 42800 61119 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
Real C/S Per Watt
OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 420.61 260.68 235.34 177.43 379.39 213.21 439.24 316.71 156.27 317.83 255.06 144.00 273.00 337.12
Result Confidence
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13K 26K 39K 52K 65K Min: 70003 / Avg: 70033.33 / Max: 70056 Min: 33753 / Avg: 33755 / Max: 33756 Min: 22310 / Avg: 22314 / Max: 22320 Min: 10821 / Avg: 10825 / Max: 10829 Min: 59835 / Avg: 59963.33 / Max: 60085 Min: 16216 / Avg: 16223.67 / Max: 16230 Min: 73574 / Avg: 73578.67 / Max: 73588 Min: 43689 / Avg: 43703.33 / Max: 43718 Min: 26342 / Avg: 26345.33 / Max: 26352 Min: 44563 / Avg: 44596 / Max: 44620 Min: 21436 / Avg: 21453.67 / Max: 21477 Min: 13181 / Avg: 13182.67 / Max: 13186 Min: 42782 / Avg: 42799.67 / Max: 42816 Min: 61113 / Avg: 61119 / Max: 61122 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -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.
Result
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K SE +/- 31.81, N = 3 SE +/- 16.32, N = 3 SE +/- 34.38, N = 3 SE +/- 6.91, N = 3 SE +/- 87.07, N = 3 SE +/- 28.65, N = 3 SE +/- 32.87, N = 3 SE +/- 15.49, N = 3 SE +/- 28.27, N = 3 SE +/- 28.55, N = 3 SE +/- 30.64, N = 3 SE +/- 28.30, N = 3 SE +/- 7.45, N = 3 SE +/- 45.55, N = 3 143169.12 71372.79 48284.83 23406.40 119683.65 35086.95 143292.79 87391.79 56973.85 94237.65 46017.20 28528.34 85303.35 120520.68 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
k/s Per Watt
OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.5.2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 798.57 481.81 426.14 334.92 725.65 387.56 819.37 628.13 275.97 584.98 473.01 262.96 551.30 669.52
Result Confidence
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20K 40K 60K 80K 100K Min: 143136.28 / Avg: 143169.12 / Max: 143232.73 Min: 71350.26 / Avg: 71372.79 / Max: 71404.51 Min: 48218.5 / Avg: 48284.83 / Max: 48333.69 Min: 23398.23 / Avg: 23406.4 / Max: 23420.13 Min: 119543.75 / Avg: 119683.65 / Max: 119843.41 Min: 35057.87 / Avg: 35086.95 / Max: 35144.26 Min: 143233.45 / Avg: 143292.79 / Max: 143346.95 Min: 87370.61 / Avg: 87391.79 / Max: 87421.95 Min: 56938.61 / Avg: 56973.85 / Max: 57029.76 Min: 94189.9 / Avg: 94237.65 / Max: 94288.64 Min: 45958.39 / Avg: 46017.2 / Max: 46061.5 Min: 28484.88 / Avg: 28528.34 / Max: 28581.47 Min: 85294.1 / Avg: 85303.35 / Max: 85318.1 Min: 120433.36 / Avg: 120520.68 / Max: 120586.84 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K SE +/- 5.99, N = 3 SE +/- 0.38, N = 3 SE +/- 5.77, N = 3 SE +/- 0.98, N = 3 SE +/- 6.05, N = 3 SE +/- 0.42, N = 3 SE +/- 2.16, N = 3 SE +/- 6.32, N = 3 SE +/- 2.53, N = 3 SE +/- 2.98, N = 3 SE +/- 0.60, N = 3 SE +/- 2.21, N = 3 SE +/- 2.43, N = 3 11996.59 5847.70 3871.57 1878.74 9992.15 2821.19 12091.56 7273.71 4580.08 7720.58 3760.66 2288.33 7105.73 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 16 32 48 64 80 68.08 40.81 37.06 28.52 61.88 33.86 70.11 52.91 24.38 49.49 40.39 23.03 45.60
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2K 4K 6K 8K 10K Min: 11984.94 / Avg: 11996.59 / Max: 12004.82 Min: 5846.99 / Avg: 5847.7 / Max: 5848.3 Min: 3864.76 / Avg: 3871.57 / Max: 3883.04 Min: 1877.16 / Avg: 1878.74 / Max: 1880.55 Min: 9980.12 / Avg: 9992.15 / Max: 9999.28 Min: 2820.54 / Avg: 2821.19 / Max: 2821.99 Min: 12087.35 / Avg: 12091.56 / Max: 12094.48 Min: 7261.15 / Avg: 7273.71 / Max: 7281.24 Min: 4577.39 / Avg: 4580.08 / Max: 4585.14 Min: 7715.51 / Avg: 7720.58 / Max: 7725.83 Min: 3759.79 / Avg: 3760.66 / Max: 3761.8 Min: 2285.96 / Avg: 2288.33 / Max: 2292.74 Min: 7100.89 / Avg: 7105.73 / Max: 7108.61 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4M 8M 12M 16M 20M SE +/- 235328.27, N = 3 SE +/- 28222.94, N = 3 SE +/- 35625.01, N = 3 SE +/- 9437.39, N = 3 SE +/- 29075.41, N = 3 SE +/- 15626.15, N = 3 SE +/- 163606.09, N = 3 SE +/- 19374.10, N = 3 SE +/- 30731.73, N = 3 SE +/- 65922.96, N = 3 SE +/- 32954.83, N = 3 SE +/- 6120.44, N = 3 SE +/- 55451.20, N = 3 20917619.76 10443329.12 7003110.18 3438510.35 17727598.84 5095560.16 20981193.88 12896969.64 8225794.40 13858394.61 6612368.67 4265815.03 12627261.93 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30K 60K 90K 120K 150K 117242.06 70344.07 63978.31 50370.93 107976.93 58318.22 120719.38 93564.11 41954.82 86092.82 68963.86 40925.63 80883.70
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4M 8M 12M 16M 20M Min: 20467620.04 / Avg: 20917619.76 / Max: 21262048.98 Min: 10405966.38 / Avg: 10443329.12 / Max: 10498652.3 Min: 6942183.09 / Avg: 7003110.18 / Max: 7065563.44 Min: 3425266.43 / Avg: 3438510.35 / Max: 3456778.84 Min: 17694612.55 / Avg: 17727598.84 / Max: 17785565.68 Min: 5064455.01 / Avg: 5095560.16 / Max: 5113736.06 Min: 20708784.06 / Avg: 20981193.88 / Max: 21274387.73 Min: 12861868.91 / Avg: 12896969.64 / Max: 12928733.42 Min: 8193174.36 / Avg: 8225794.4 / Max: 8287218.36 Min: 13729117.41 / Avg: 13858394.61 / Max: 13945462.29 Min: 6549932.25 / Avg: 6612368.67 / Max: 6661871.66 Min: 4253702.33 / Avg: 4265815.03 / Max: 4273401.47 Min: 12516504.31 / Avg: 12627261.93 / Max: 12687546.78 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 40K 80K 120K 160K 200K SE +/- 558.83, N = 3 SE +/- 377.08, N = 3 SE +/- 123.36, N = 3 SE +/- 186.09, N = 3 SE +/- 457.19, N = 3 SE +/- 183.06, N = 3 SE +/- 1795.92, N = 3 SE +/- 1288.21, N = 3 SE +/- 417.25, N = 3 SE +/- 157.32, N = 3 SE +/- 294.16, N = 3 SE +/- 382.53, N = 3 SE +/- 270.71, N = 3 179226.24 92207.07 63930.72 31690.60 152001.95 46780.94 179496.78 112205.01 76923.39 122762.96 59431.03 38378.08 110766.79 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Matrix Math EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 200 400 600 800 1000 987.36 638.73 545.34 412.61 911.37 484.49 1022.61 791.90 348.06 751.29 617.90 324.00 717.75
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30K 60K 90K 120K 150K Min: 178344.47 / Avg: 179226.24 / Max: 180261.88 Min: 91633.53 / Avg: 92207.07 / Max: 92917.94 Min: 63684.02 / Avg: 63930.72 / Max: 64057.16 Min: 31367.04 / Avg: 31690.6 / Max: 32011.65 Min: 151506.09 / Avg: 152001.95 / Max: 152915.2 Min: 46417.91 / Avg: 46780.94 / Max: 47003.53 Min: 175929.7 / Avg: 179496.78 / Max: 181644.9 Min: 109640.44 / Avg: 112205.01 / Max: 113701 Min: 76194.59 / Avg: 76923.39 / Max: 77639.82 Min: 122497.64 / Avg: 122762.96 / Max: 123042.09 Min: 59024.95 / Avg: 59431.03 / Max: 60002.73 Min: 37633.18 / Avg: 38378.08 / Max: 38901.65 Min: 110323.78 / Avg: 110766.79 / Max: 111257.86 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 90K 180K 270K 360K 450K SE +/- 205.94, N = 3 SE +/- 100.32, N = 3 SE +/- 3.30, N = 3 SE +/- 4.97, N = 3 SE +/- 189.45, N = 3 SE +/- 1.61, N = 3 SE +/- 137.59, N = 3 SE +/- 66.32, N = 3 SE +/- 3.54, N = 3 SE +/- 32.95, N = 3 SE +/- 4.86, N = 3 SE +/- 4.12, N = 3 SE +/- 47.74, N = 3 397326.45 182716.39 120826.81 58583.38 328019.70 87851.58 400773.38 237596.66 142756.35 241722.09 117080.86 71366.17 232455.68 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Bogo Ops/s Per Watt
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 500 1000 1500 2000 2500 2315.41 1407.24 1278.65 961.66 2071.71 1163.29 2387.46 1705.78 850.73 1741.29 1400.36 783.29 1476.94
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 70K 140K 210K 280K 350K Min: 397034.87 / Avg: 397326.45 / Max: 397724.18 Min: 182574.85 / Avg: 182716.39 / Max: 182910.32 Min: 120822.19 / Avg: 120826.81 / Max: 120833.2 Min: 58573.44 / Avg: 58583.38 / Max: 58588.42 Min: 327828.63 / Avg: 328019.7 / Max: 328398.59 Min: 87849.93 / Avg: 87851.58 / Max: 87854.8 Min: 400607.54 / Avg: 400773.38 / Max: 401046.47 Min: 237474.07 / Avg: 237596.66 / Max: 237701.83 Min: 142752.27 / Avg: 142756.35 / Max: 142763.4 Min: 241657.95 / Avg: 241722.09 / Max: 241767.28 Min: 117074.78 / Avg: 117080.86 / Max: 117090.47 Min: 71360.29 / Avg: 71366.17 / Max: 71374.11 Min: 232394.78 / Avg: 232455.68 / Max: 232549.81 1. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
Google SynthMark SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Voices, More Is Better Google SynthMark 20201109 Test: VoiceMark_100 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 160 320 480 640 800 SE +/- 0.57, N = 3 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.27, N = 3 SE +/- 0.70, N = 3 SE +/- 0.12, N = 3 SE +/- 0.57, N = 3 SE +/- 0.11, N = 3 SE +/- 0.59, N = 3 SE +/- 0.70, N = 3 SE +/- 0.36, N = 3 SE +/- 0.17, N = 3 SE +/- 0.46, N = 3 635.92 636.43 627.74 608.61 626.57 608.05 624.73 637.38 739.72 645.87 605.83 740.58 627.06 1. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
Voices Per Watt
OpenBenchmarking.org Voices Per Watt, More Is Better Google SynthMark 20201109 Test: VoiceMark_100 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4 8 12 16 20 9.49 13.61 13.11 15.47 11.25 15.33 9.48 13.51 10.89 13.83 14.84 14.59 9.49
Result Confidence
OpenBenchmarking.org Voices, More Is Better Google SynthMark 20201109 Test: VoiceMark_100 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 130 260 390 520 650 Min: 634.78 / Avg: 635.92 / Max: 636.53 Min: 635.86 / Avg: 636.43 / Max: 636.98 Min: 627.49 / Avg: 627.74 / Max: 627.91 Min: 608.15 / Avg: 608.61 / Max: 609.07 Min: 625.29 / Avg: 626.57 / Max: 627.72 Min: 607.84 / Avg: 608.05 / Max: 608.27 Min: 623.79 / Avg: 624.73 / Max: 625.77 Min: 637.17 / Avg: 637.38 / Max: 637.55 Min: 738.56 / Avg: 739.72 / Max: 740.43 Min: 644.48 / Avg: 645.87 / Max: 646.66 Min: 605.12 / Avg: 605.82 / Max: 606.33 Min: 740.39 / Avg: 740.58 / Max: 740.92 Min: 626.15 / Avg: 627.06 / Max: 627.62 1. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
Parboil The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP Stencil EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.025502, N = 9 SE +/- 0.017882, N = 6 SE +/- 0.040278, N = 15 SE +/- 0.312883, N = 14 SE +/- 0.017804, N = 7 SE +/- 0.172857, N = 15 SE +/- 0.021316, N = 15 SE +/- 0.076520, N = 15 SE +/- 0.084885, N = 6 SE +/- 0.076268, N = 15 SE +/- 0.040723, N = 15 SE +/- 0.288514, N = 15 SE +/- 0.046959, N = 15 SE +/- 0.024850, N = 7 3.086435 4.572591 4.176971 10.635023 3.779568 7.631597 3.100122 4.246361 8.683131 4.395850 5.758925 9.844102 3.621507 3.194662 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP Stencil EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 2.96 / Avg: 3.09 / Max: 3.21 Min: 4.53 / Avg: 4.57 / Max: 4.63 Min: 4 / Avg: 4.18 / Max: 4.54 Min: 6.84 / Avg: 10.64 / Max: 11.74 Min: 3.72 / Avg: 3.78 / Max: 3.86 Min: 5.38 / Avg: 7.63 / Max: 8.15 Min: 2.98 / Avg: 3.1 / Max: 3.25 Min: 3.7 / Avg: 4.25 / Max: 4.54 Min: 8.26 / Avg: 8.68 / Max: 8.8 Min: 3.64 / Avg: 4.4 / Max: 4.73 Min: 5.51 / Avg: 5.76 / Max: 6.05 Min: 6.2 / Avg: 9.84 / Max: 10.6 Min: 3.4 / Avg: 3.62 / Max: 3.93 Min: 3.06 / Avg: 3.19 / Max: 3.27 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 SE +/- 3.26, N = 3 SE +/- 2.49, N = 3 SE +/- 1.97, N = 3 SE +/- 1.85, N = 3 SE +/- 3.34, N = 3 SE +/- 3.25, N = 3 SE +/- 7.17, N = 3 SE +/- 3.41, N = 3 SE +/- 5.28, N = 3 SE +/- 3.23, N = 3 SE +/- 3.07, N = 3 SE +/- 2.91, N = 3 SE +/- 1.89, N = 3 SE +/- 1.66, N = 3 861.35 899.45 898.21 861.07 895.52 864.62 897.59 898.84 773.86 908.46 858.54 967.37 895.33 903.30 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Test Cases Per Minute Per Watt
OpenBenchmarking.org Test Cases Per Minute Per Watt, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 10.75 16.53 16.79 19.69 13.37 19.36 11.61 16.03 9.53 16.61 18.48 16.68 11.94 12.13
Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 854.83 / Avg: 861.35 / Max: 864.7 Min: 895.16 / Avg: 899.45 / Max: 903.77 Min: 894.42 / Avg: 898.21 / Max: 901.07 Min: 857.36 / Avg: 861.07 / Max: 863.04 Min: 888.84 / Avg: 895.52 / Max: 899.09 Min: 858.29 / Avg: 864.62 / Max: 869.06 Min: 885.88 / Avg: 897.59 / Max: 910.61 Min: 892.02 / Avg: 898.84 / Max: 902.4 Min: 763.33 / Avg: 773.86 / Max: 779.83 Min: 902.91 / Avg: 908.46 / Max: 914.1 Min: 852.55 / Avg: 858.54 / Max: 862.73 Min: 961.58 / Avg: 967.37 / Max: 970.7 Min: 892.13 / Avg: 895.33 / Max: 898.66 Min: 900.01 / Avg: 903.3 / Max: 905.33 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 16 32 48 64 80 SE +/- 0.05, N = 4 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 4 SE +/- 0.05, N = 3 SE +/- 0.07, N = 4 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 4 SE +/- 0.08, N = 4 14.70 20.35 25.21 69.91 15.28 48.29 14.03 19.07 22.83 18.61 45.46 36.80 15.29 13.66 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 14 28 42 56 70 Min: 14.59 / Avg: 14.7 / Max: 14.82 Min: 20.26 / Avg: 20.35 / Max: 20.46 Min: 25.12 / Avg: 25.21 / Max: 25.39 Min: 69.87 / Avg: 69.91 / Max: 69.96 Min: 15.23 / Avg: 15.28 / Max: 15.32 Min: 48.21 / Avg: 48.29 / Max: 48.38 Min: 13.91 / Avg: 14.03 / Max: 14.23 Min: 19 / Avg: 19.07 / Max: 19.13 Min: 22.76 / Avg: 22.83 / Max: 22.94 Min: 18.57 / Avg: 18.61 / Max: 18.67 Min: 45.38 / Avg: 45.46 / Max: 45.52 Min: 36.61 / Avg: 36.8 / Max: 36.9 Min: 15.1 / Avg: 15.29 / Max: 15.4 Min: 13.55 / Avg: 13.66 / Max: 13.9 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2M 4M 6M 8M 10M SE +/- 4763.31, N = 3 SE +/- 5954.89, N = 3 SE +/- 16881.14, N = 3 SE +/- 8448.82, N = 3 SE +/- 15133.11, N = 3 SE +/- 4235.69, N = 3 SE +/- 6430.53, N = 3 SE +/- 2921.91, N = 3 SE +/- 3201.01, N = 3 SE +/- 15198.80, N = 3 SE +/- 18409.69, N = 3 SE +/- 9056.97, N = 3 SE +/- 8887.25, N = 3 6899948 6880760 6787692 6414609 6674881 6551351 6753902 6804305 7940047 6983945 6547690 7939883 6545211 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Crafty 25.2 Elapsed Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30K 60K 90K 120K 150K 99938.47 142769.17 139072.47 158031.23 116329.09 159454.66 100655.93 139718.79 114628.80 144587.96 156016.10 150336.84 97701.58
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1.4M 2.8M 4.2M 5.6M 7M Min: 6892591 / Avg: 6899948 / Max: 6908868 Min: 6872751 / Avg: 6880759.67 / Max: 6892398 Min: 6763111 / Avg: 6787691.67 / Max: 6820026 Min: 6399116 / Avg: 6414609 / Max: 6428197 Min: 6646698 / Avg: 6674880.67 / Max: 6698529 Min: 6543694 / Avg: 6551351.33 / Max: 6558318 Min: 6743220 / Avg: 6753902.33 / Max: 6765446 Min: 6798906 / Avg: 6804305.33 / Max: 6808941 Min: 7934298 / Avg: 7940047 / Max: 7945361 Min: 6962515 / Avg: 6983944.67 / Max: 7013330 Min: 6524614 / Avg: 6547690 / Max: 6584075 Min: 7924088 / Avg: 7939883 / Max: 7955460 Min: 6532471 / Avg: 6545211 / Max: 6562315 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13 26 39 52 65 SE +/- 0.02, N = 4 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 4 SE +/- 0.04, N = 3 SE +/- 0.03, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 11.50 20.46 28.70 55.78 13.27 38.41 11.50 17.14 24.18 15.94 30.51 45.47 17.67 13.27 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
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 11 22 33 44 55 Min: 11.45 / Avg: 11.5 / Max: 11.55 Min: 20.41 / Avg: 20.46 / Max: 20.56 Min: 28.69 / Avg: 28.7 / Max: 28.72 Min: 55.44 / Avg: 55.78 / Max: 56.24 Min: 13.17 / Avg: 13.27 / Max: 13.35 Min: 38.36 / Avg: 38.41 / Max: 38.49 Min: 11.4 / Avg: 11.5 / Max: 11.56 Min: 17.12 / Avg: 17.14 / Max: 17.17 Min: 24.15 / Avg: 24.18 / Max: 24.23 Min: 15.92 / Avg: 15.94 / Max: 15.96 Min: 30.42 / Avg: 30.51 / Max: 30.57 Min: 45.44 / Avg: 45.47 / Max: 45.5 Min: 17.65 / Avg: 17.67 / Max: 17.7 Min: 13.19 / Avg: 13.27 / Max: 13.35 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
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13 26 39 52 65 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.44, N = 3 SE +/- 0.40, N = 3 SE +/- 0.52, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.37, N = 3 SE +/- 0.23, N = 3 SE +/- 0.22, N = 3 SE +/- 0.27, N = 3 SE +/- 0.45, N = 3 SE +/- 0.26, N = 3 SE +/- 0.37, N = 3 57.5 57.2 57.6 59.5 58.1 60.0 58.6 56.9 50.4 56.7 59.1 49.1 58.3 58.4
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 12 24 36 48 60 Min: 57.3 / Avg: 57.47 / Max: 57.6 Min: 57.2 / Avg: 57.23 / Max: 57.3 Min: 56.8 / Avg: 57.63 / Max: 58.3 Min: 58.7 / Avg: 59.5 / Max: 59.9 Min: 57.2 / Avg: 58.1 / Max: 59 Min: 59.8 / Avg: 60.03 / Max: 60.3 Min: 58.2 / Avg: 58.57 / Max: 58.8 Min: 56.2 / Avg: 56.93 / Max: 57.4 Min: 50.2 / Avg: 50.43 / Max: 50.9 Min: 56.4 / Avg: 56.67 / Max: 57.1 Min: 58.6 / Avg: 59.13 / Max: 59.4 Min: 48.2 / Avg: 49.07 / Max: 49.7 Min: 57.8 / Avg: 58.27 / Max: 58.7 Min: 57.9 / Avg: 58.37 / Max: 59.1
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.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1100 2200 3300 4400 5500 SE +/- 23.53, N = 20 SE +/- 36.08, N = 5 SE +/- 23.38, N = 5 SE +/- 47.23, N = 4 SE +/- 25.46, N = 5 SE +/- 35.80, N = 6 SE +/- 22.90, N = 5 SE +/- 31.58, N = 20 SE +/- 17.61, N = 4 SE +/- 30.98, N = 5 SE +/- 23.50, N = 13 SE +/- 13.18, N = 4 SE +/- 38.48, N = 5 3626 3310 3526 5021 3550 3757 3624 3358 3288 3304 3492 4095 3497
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 900 1800 2700 3600 4500 Min: 3427 / Avg: 3625.95 / Max: 3913 Min: 3228 / Avg: 3310.2 / Max: 3400 Min: 3448 / Avg: 3526.2 / Max: 3591 Min: 4937 / Avg: 5020.5 / Max: 5136 Min: 3490 / Avg: 3550 / Max: 3631 Min: 3621 / Avg: 3757.17 / Max: 3836 Min: 3562 / Avg: 3624.4 / Max: 3691 Min: 3220 / Avg: 3358.3 / Max: 3805 Min: 3254 / Avg: 3287.75 / Max: 3330 Min: 3195 / Avg: 3303.6 / Max: 3360 Min: 3310 / Avg: 3491.92 / Max: 3632 Min: 4078 / Avg: 4095 / Max: 4134 Min: 3410 / Avg: 3496.6 / Max: 3597
XZ Compression This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.19, N = 9 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 22.05 22.40 23.15 34.51 22.54 25.66 22.05 22.42 21.43 22.30 24.90 29.61 22.09 22.01 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 Min: 21.86 / Avg: 22.05 / Max: 22.28 Min: 22.31 / Avg: 22.4 / Max: 22.53 Min: 22.45 / Avg: 23.15 / Max: 23.78 Min: 34.46 / Avg: 34.51 / Max: 34.53 Min: 22.49 / Avg: 22.54 / Max: 22.64 Min: 25.58 / Avg: 25.66 / Max: 25.79 Min: 22 / Avg: 22.05 / Max: 22.15 Min: 22.33 / Avg: 22.42 / Max: 22.59 Min: 21.32 / Avg: 21.43 / Max: 21.65 Min: 22.23 / Avg: 22.3 / Max: 22.43 Min: 24.75 / Avg: 24.9 / Max: 25.01 Min: 29.47 / Avg: 29.61 / Max: 29.69 Min: 22.03 / Avg: 22.09 / Max: 22.22 Min: 21.89 / Avg: 22.01 / Max: 22.17 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.41, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 21.97 23.87 26.02 33.92 22.65 29.95 22.13 23.11 24.42 22.64 26.79 28.10 23.55 22.55 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 Min: 21.94 / Avg: 21.97 / Max: 21.99 Min: 23.81 / Avg: 23.87 / Max: 23.93 Min: 25.95 / Avg: 26.02 / Max: 26.08 Min: 33.49 / Avg: 33.92 / Max: 34.73 Min: 22.58 / Avg: 22.65 / Max: 22.7 Min: 29.5 / Avg: 29.95 / Max: 30.34 Min: 22.09 / Avg: 22.13 / Max: 22.15 Min: 23.07 / Avg: 23.11 / Max: 23.16 Min: 24.31 / Avg: 24.42 / Max: 24.54 Min: 22.58 / Avg: 22.64 / Max: 22.73 Min: 26.76 / Avg: 26.79 / Max: 26.84 Min: 27.88 / Avg: 28.1 / Max: 28.53 Min: 23.54 / Avg: 23.55 / Max: 23.58 Min: 22.48 / Avg: 22.55 / Max: 22.63 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
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.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300 600 900 1200 1500 SE +/- 6.84, N = 3 SE +/- 1.20, N = 3 SE +/- 1.86, N = 3 SE +/- 9.68, N = 3 SE +/- 9.35, N = 3 SE +/- 9.54, N = 3 SE +/- 10.82, N = 3 SE +/- 5.46, N = 3 SE +/- 1.20, N = 3 SE +/- 8.01, N = 3 SE +/- 8.33, N = 3 SE +/- 7.33, N = 3 SE +/- 7.55, N = 3 1166 1159 1172 1213 1178 1208 1184 1173 999 1137 1221 998 1180 1184
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 1159 / Avg: 1166.33 / Max: 1180 Min: 1157 / Avg: 1159.33 / Max: 1161 Min: 1168 / Avg: 1171.67 / Max: 1174 Min: 1202 / Avg: 1212.67 / Max: 1232 Min: 1168 / Avg: 1178.33 / Max: 1197 Min: 1165 / Avg: 1184 / Max: 1195 Min: 1152 / Avg: 1173 / Max: 1188 Min: 992 / Avg: 999.33 / Max: 1010 Min: 1135 / Avg: 1137.33 / Max: 1139 Min: 1209 / Avg: 1220.67 / Max: 1236 Min: 990 / Avg: 998.33 / Max: 1015 Min: 1173 / Avg: 1180.33 / Max: 1195 Min: 1175 / Avg: 1184 / Max: 1199
LULESH LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3K 6K 9K 12K 15K SE +/- 146.93, N = 12 SE +/- 9.05, N = 6 SE +/- 8.39, N = 6 SE +/- 11.79, N = 6 SE +/- 60.62, N = 4 SE +/- 38.61, N = 6 SE +/- 142.13, N = 3 SE +/- 131.70, N = 5 SE +/- 40.17, N = 6 SE +/- 157.59, N = 4 SE +/- 15.52, N = 6 SE +/- 12.34, N = 6 SE +/- 43.36, N = 4 SE +/- 58.13, N = 4 14612.21 8024.37 7954.15 6757.99 13435.30 6871.93 14603.33 12840.64 6839.17 13099.62 6954.80 8720.88 13938.25 14015.66 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
z/s Per Watt
OpenBenchmarking.org z/s Per Watt, More Is Better LULESH 2.0.3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 91.64 122.19 122.94 117.45 118.64 116.78 95.62 123.94 69.83 125.40 119.53 114.72 113.53 109.48
Result Confidence
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3K 6K 9K 12K 15K Min: 13024.64 / Avg: 14612.21 / Max: 14895.69 Min: 7986.3 / Avg: 8024.37 / Max: 8053.74 Min: 7941.34 / Avg: 7954.15 / Max: 7995.56 Min: 6718.89 / Avg: 6757.99 / Max: 6804.97 Min: 13262.26 / Avg: 13435.3 / Max: 13545.43 Min: 6730.47 / Avg: 6871.93 / Max: 6957.51 Min: 14340.08 / Avg: 14603.33 / Max: 14827.83 Min: 12361.8 / Avg: 12840.64 / Max: 13103.71 Min: 6733.72 / Avg: 6839.17 / Max: 6954.28 Min: 12632.05 / Avg: 13099.62 / Max: 13300.62 Min: 6907.71 / Avg: 6954.8 / Max: 7005.82 Min: 8666.52 / Avg: 8720.88 / Max: 8753.04 Min: 13879.03 / Avg: 13938.25 / Max: 14067.14 Min: 13885.31 / Avg: 14015.66 / Max: 14137.76 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.05, 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 = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 4 36.07 26.61 22.94 12.98 35.81 17.83 39.15 33.25 26.31 35.06 21.70 15.56 32.72 37.39 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0608 0.1216 0.1824 0.2432 0.304 0.25 0.21 0.21 0.17 0.26 0.19 0.27 0.26 0.13 0.25 0.24 0.13 0.23 0.24
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 36 / Avg: 36.07 / Max: 36.11 Min: 26.56 / Avg: 26.61 / Max: 26.7 Min: 22.92 / Avg: 22.94 / Max: 22.97 Min: 12.97 / Avg: 12.98 / Max: 12.99 Min: 35.77 / Avg: 35.81 / Max: 35.84 Min: 17.82 / Avg: 17.83 / Max: 17.84 Min: 39.12 / Avg: 39.15 / Max: 39.19 Min: 33.24 / Avg: 33.25 / Max: 33.26 Min: 26.29 / Avg: 26.31 / Max: 26.33 Min: 35.04 / Avg: 35.06 / Max: 35.09 Min: 21.66 / Avg: 21.7 / Max: 21.75 Min: 15.54 / Avg: 15.56 / Max: 15.61 Min: 32.69 / Avg: 32.72 / Max: 32.73 Min: 37.31 / Avg: 37.39 / Max: 37.44 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 24.56 24.53 25.02 28.08 24.89 26.02 24.92 24.43 21.62 24.20 25.65 23.00 25.02 24.93
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 Min: 24.54 / Avg: 24.56 / Max: 24.58 Min: 24.51 / Avg: 24.53 / Max: 24.56 Min: 24.97 / Avg: 25.02 / Max: 25.06 Min: 28.05 / Avg: 28.08 / Max: 28.12 Min: 24.85 / Avg: 24.89 / Max: 24.92 Min: 26.01 / Avg: 26.02 / Max: 26.03 Min: 24.89 / Avg: 24.92 / Max: 24.95 Min: 24.41 / Avg: 24.43 / Max: 24.46 Min: 21.59 / Avg: 21.62 / Max: 21.66 Min: 24.17 / Avg: 24.2 / Max: 24.23 Min: 25.6 / Avg: 25.65 / Max: 25.68 Min: 22.98 / Avg: 23 / Max: 23.04 Min: 25 / Avg: 25.02 / Max: 25.06 Min: 24.92 / Avg: 24.93 / Max: 24.95
Stream-Dynamic This is an open-source AMD modified copy of the Stream memory benchmark catered towards running the RAM benchmark on systems with the AMD Optimizing C/C++ Compiler (AOCC) among other by-default optimizations aiming for an easy and standardized deployment. This test profile though will attempt to fall-back to GCC / Clang for systems lacking AOCC, otherwise there is the existing "stream" test profile. Learn more via the OpenBenchmarking.org test page.
Swet Swet is a synthetic CPU/RAM benchmark, includes multi-processor test cases. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Operations Per Second, More Is Better Swet 1.5.16 Average EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 150M 300M 450M 600M 750M SE +/- 2469610.76, N = 3 SE +/- 2164773.96, N = 3 SE +/- 3828695.03, N = 3 SE +/- 6957648.38, N = 3 SE +/- 807930.96, N = 3 SE +/- 2920022.24, N = 3 SE +/- 5706451.14, N = 3 SE +/- 4052005.46, N = 3 SE +/- 2209414.80, N = 3 SE +/- 8506660.76, N = 3 SE +/- 5177314.46, N = 3 SE +/- 2325206.90, N = 3 SE +/- 1400113.05, N = 3 602434885 600065572 598589228 561816772 605644364 581194588 602203842 597361197 685188810 612218425 571825580 686395419 582684333 1. (CC) gcc options: -lm -lpthread -lcurses -lrt
Operations Per Second Per Watt
OpenBenchmarking.org Operations Per Second Per Watt, More Is Better Swet 1.5.16 Average EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3M 6M 9M 12M 15M 9098672.56 13079157.08 12821906.80 14546659.15 11032151.74 14898341.79 9228207.39 12873172.87 10268451.78 13255560.12 14256393.92 13794532.24 9008595.44
Result Confidence
OpenBenchmarking.org Operations Per Second, More Is Better Swet 1.5.16 Average EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 120M 240M 360M 480M 600M Min: 597611652 / Avg: 602434885.33 / Max: 605768048 Min: 595836568 / Avg: 600065571.67 / Max: 602983432 Min: 593041731 / Avg: 598589227.67 / Max: 605934155 Min: 547924209 / Avg: 561816771.67 / Max: 569451631 Min: 604227306 / Avg: 605644364.33 / Max: 607025364 Min: 575619977 / Avg: 581194588 / Max: 585489333 Min: 590802604 / Avg: 602203842.33 / Max: 608351202 Min: 589487365 / Avg: 597361197.33 / Max: 602958932 Min: 680933266 / Avg: 685188809.67 / Max: 688347262 Min: 596416785 / Avg: 612218425.33 / Max: 625580102 Min: 566389680 / Avg: 571825580.33 / Max: 582175830 Min: 682854921 / Avg: 686395419.33 / Max: 690776878 Min: 579892857 / Avg: 582684332.67 / Max: 584271636 1. (CC) gcc options: -lm -lpthread -lcurses -lrt
Pennant Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 10 20 30 40 50 SE +/- 0.058701, N = 6 SE +/- 0.019214, N = 3 SE +/- 0.036573, N = 3 SE +/- 0.039126, N = 3 SE +/- 0.095577, N = 5 SE +/- 0.292336, N = 3 SE +/- 0.054901, N = 6 SE +/- 0.026648, N = 4 SE +/- 0.007758, N = 4 SE +/- 0.043495, N = 4 SE +/- 0.019691, N = 3 SE +/- 0.037928, N = 3 SE +/- 0.014397, N = 5 7.033982 16.653750 21.951880 45.154600 8.988538 33.808520 6.995321 14.781570 16.139290 14.164820 28.993920 34.580030 10.885760 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 9 18 27 36 45 Min: 6.86 / Avg: 7.03 / Max: 7.24 Min: 16.63 / Avg: 16.65 / Max: 16.69 Min: 21.9 / Avg: 21.95 / Max: 22.02 Min: 45.1 / Avg: 45.15 / Max: 45.23 Min: 8.8 / Avg: 8.99 / Max: 9.33 Min: 33.47 / Avg: 33.81 / Max: 34.39 Min: 6.85 / Avg: 7 / Max: 7.2 Min: 14.73 / Avg: 14.78 / Max: 14.84 Min: 16.12 / Avg: 16.14 / Max: 16.16 Min: 14.12 / Avg: 14.16 / Max: 14.3 Min: 28.96 / Avg: 28.99 / Max: 29.03 Min: 34.52 / Avg: 34.58 / Max: 34.65 Min: 10.85 / Avg: 10.89 / Max: 10.92 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 200M 400M 600M 800M 1000M SE +/- 507394.80, N = 3 SE +/- 643499.89, N = 3 SE +/- 405072.19, N = 4 SE +/- 295157.17, N = 5 SE +/- 989060.38, N = 3 SE +/- 252656.85, N = 4 SE +/- 229126.62, N = 3 SE +/- 998206.04, N = 3 SE +/- 3149876.45, N = 4 SE +/- 142607.92, N = 3 SE +/- 314598.13, N = 3 SE +/- 322962.48, N = 6 SE +/- 422202.49, N = 3 878375333 778459433 788266875 449916460 856893400 457855350 883735200 774304800 643180925 774329467 455760633 809844583 909532667 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
Figure Of Merit Per Watt
OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2M 4M 6M 8M 10M 5138262.51 7131421.00 8667240.71 7366263.78 5919717.78 6485573.10 5265803.49 6513520.25 4682548.38 6697956.10 5939960.67 9577991.03 6228384.62
Result Confidence
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 160M 320M 480M 640M 800M Min: 877829000 / Avg: 878375333.33 / Max: 879389100 Min: 777565100 / Avg: 778459433.33 / Max: 779708100 Min: 787578900 / Avg: 788266875 / Max: 789313600 Min: 448913300 / Avg: 449916460 / Max: 450629100 Min: 854937100 / Avg: 856893400 / Max: 858125300 Min: 457151100 / Avg: 457855350 / Max: 458299300 Min: 883287900 / Avg: 883735200 / Max: 884045100 Min: 772483400 / Avg: 774304800 / Max: 775923400 Min: 634035200 / Avg: 643180925 / Max: 647428500 Min: 774119000 / Avg: 774329466.67 / Max: 774601400 Min: 455133300 / Avg: 455760633.33 / Max: 456116200 Min: 808702900 / Avg: 809844583.33 / Max: 810642700 Min: 908914700 / Avg: 909532666.67 / Max: 910340000 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
librsvg RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 24.34 23.66 23.78 25.02 24.53 24.09 24.73 23.65 20.48 23.35 24.46 20.03 24.09 1. rsvg-convert version 2.48.9
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 6 12 18 24 30 Min: 24.29 / Avg: 24.34 / Max: 24.4 Min: 23.49 / Avg: 23.66 / Max: 23.78 Min: 23.65 / Avg: 23.78 / Max: 23.89 Min: 24.97 / Avg: 25.02 / Max: 25.1 Min: 24.43 / Avg: 24.53 / Max: 24.6 Min: 23.94 / Avg: 24.09 / Max: 24.24 Min: 24.63 / Avg: 24.73 / Max: 24.84 Min: 23.57 / Avg: 23.65 / Max: 23.77 Min: 20.42 / Avg: 20.48 / Max: 20.58 Min: 23.26 / Avg: 23.35 / Max: 23.49 Min: 24.41 / Avg: 24.46 / Max: 24.53 Min: 19.96 / Avg: 20.03 / Max: 20.1 Min: 24 / Avg: 24.09 / Max: 24.2 1. rsvg-convert version 2.48.9
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: AES-256 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1100 2200 3300 4400 5500 SE +/- 1.00, N = 3 SE +/- 0.83, N = 3 SE +/- 0.26, N = 3 SE +/- 13.87, N = 3 SE +/- 3.88, N = 3 SE +/- 7.02, N = 3 SE +/- 0.85, N = 3 SE +/- 3.31, N = 3 SE +/- 1.30, N = 3 SE +/- 2.98, N = 3 SE +/- 0.80, N = 3 SE +/- 1.69, N = 3 SE +/- 1.33, N = 3 SE +/- 3.58, N = 3 4499.50 4487.90 4430.72 4311.06 4421.41 4290.85 4429.19 4497.77 5226.75 4561.19 4293.87 5238.76 4429.47 4425.92 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Botan 2.13.0 Test: AES-256 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 66.83 96.36 94.08 109.56 79.86 108.21 67.17 95.12 76.11 97.57 105.14 101.50 67.57 70.28
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: AES-256 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 Min: 4497.86 / Avg: 4499.5 / Max: 4501.3 Min: 4486.88 / Avg: 4487.9 / Max: 4489.54 Min: 4430.21 / Avg: 4430.72 / Max: 4431.05 Min: 4293.42 / Avg: 4311.06 / Max: 4338.43 Min: 4413.66 / Avg: 4421.41 / Max: 4425.33 Min: 4276.91 / Avg: 4290.85 / Max: 4299.27 Min: 4427.63 / Avg: 4429.19 / Max: 4430.55 Min: 4492.53 / Avg: 4497.77 / Max: 4503.89 Min: 5224.38 / Avg: 5226.75 / Max: 5228.88 Min: 4555.36 / Avg: 4561.19 / Max: 4565.19 Min: 4292.82 / Avg: 4293.87 / Max: 4295.45 Min: 5235.4 / Avg: 5238.76 / Max: 5240.69 Min: 4426.94 / Avg: 4429.47 / Max: 4431.46 Min: 4421.28 / Avg: 4425.91 / Max: 4432.96 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 SE +/- 0.62, N = 3 SE +/- 0.03, N = 3 SE +/- 0.94, N = 3 SE +/- 0.14, N = 3 SE +/- 0.46, N = 3 SE +/- 0.22, N = 3 SE +/- 0.29, N = 3 SE +/- 0.72, N = 3 SE +/- 0.41, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 0.88, N = 3 SE +/- 0.40, N = 3 333.30 336.66 339.05 347.18 344.33 347.77 342.47 336.89 288.47 333.28 350.76 286.43 344.25 341.93 MIN: 330.49 / MAX: 343.73 MIN: 333.97 / MAX: 348.51 MIN: 335.68 / MAX: 355.89 MIN: 343.85 / MAX: 356.42 MIN: 340.96 / MAX: 358.42 MIN: 345.44 / MAX: 366.04 MIN: 338.7 / MAX: 360.58 MIN: 332.6 / MAX: 347.08 MIN: 285.34 / MAX: 304.15 MIN: 329.87 / MAX: 349.8 MIN: 346.27 / MAX: 363.67 MIN: 283.81 / MAX: 294.29 MIN: 339.59 / MAX: 367.05 MIN: 337.09 / MAX: 359.76 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 Min: 332.62 / Avg: 333.3 / Max: 334.54 Min: 336.61 / Avg: 336.66 / Max: 336.68 Min: 337.77 / Avg: 339.05 / Max: 340.89 Min: 347.01 / Avg: 347.18 / Max: 347.46 Min: 343.4 / Avg: 344.33 / Max: 344.79 Min: 347.4 / Avg: 347.77 / Max: 348.16 Min: 342 / Avg: 342.47 / Max: 343.01 Min: 335.5 / Avg: 336.89 / Max: 337.88 Min: 287.8 / Avg: 288.47 / Max: 289.23 Min: 333.14 / Avg: 333.28 / Max: 333.46 Min: 350.35 / Avg: 350.76 / Max: 351.03 Min: 285.73 / Avg: 286.43 / Max: 286.81 Min: 342.92 / Avg: 344.25 / Max: 345.93 Min: 341.17 / Avg: 341.93 / Max: 342.54 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 SE +/- 0.04, N = 4 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 4 SE +/- 0.03, N = 3 SE +/- 0.03, N = 4 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 4 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 12.99 18.59 24.06 45.59 13.82 31.14 12.96 16.46 20.57 15.69 26.27 35.25 16.38 13.71
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 Min: 12.91 / Avg: 12.99 / Max: 13.09 Min: 18.5 / Avg: 18.59 / Max: 18.68 Min: 24.05 / Avg: 24.06 / Max: 24.07 Min: 45.54 / Avg: 45.59 / Max: 45.62 Min: 13.75 / Avg: 13.82 / Max: 13.87 Min: 31.1 / Avg: 31.14 / Max: 31.21 Min: 12.87 / Avg: 12.96 / Max: 13.01 Min: 16.42 / Avg: 16.46 / Max: 16.52 Min: 20.43 / Avg: 20.57 / Max: 20.67 Min: 15.6 / Avg: 15.69 / Max: 15.9 Min: 26.23 / Avg: 26.27 / Max: 26.29 Min: 35.21 / Avg: 35.25 / Max: 35.28 Min: 16.35 / Avg: 16.38 / Max: 16.42 Min: 13.64 / Avg: 13.71 / Max: 13.81
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 9 18 27 36 45 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.00, N = 4 SE +/- 0.02, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 13.30 18.17 23.34 39.67 14.24 29.24 13.21 16.31 19.86 15.64 24.24 32.63 16.70 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 8 16 24 32 40 Min: 13.28 / Avg: 13.3 / Max: 13.33 Min: 18.16 / Avg: 18.17 / Max: 18.17 Min: 23.32 / Avg: 23.34 / Max: 23.38 Min: 39.66 / Avg: 39.67 / Max: 39.67 Min: 14.23 / Avg: 14.24 / Max: 14.25 Min: 29.23 / Avg: 29.24 / Max: 29.27 Min: 13.2 / Avg: 13.21 / Max: 13.22 Min: 16.28 / Avg: 16.31 / Max: 16.38 Min: 19.86 / Avg: 19.86 / Max: 19.87 Min: 15.63 / Avg: 15.64 / Max: 15.64 Min: 24.19 / Avg: 24.24 / Max: 24.27 Min: 32.63 / Avg: 32.63 / Max: 32.64 Min: 16.69 / Avg: 16.7 / Max: 16.71 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 SE +/- 1.46, N = 3 SE +/- 0.40, N = 3 SE +/- 0.19, N = 3 SE +/- 0.40, N = 3 SE +/- 0.82, N = 3 SE +/- 0.49, N = 3 SE +/- 0.53, N = 3 SE +/- 0.42, N = 3 SE +/- 0.51, N = 3 SE +/- 0.71, N = 3 SE +/- 1.22, N = 3 SE +/- 1.50, N = 3 SE +/- 0.79, N = 3 SE +/- 1.18, N = 3 954.20 962.88 943.29 876.45 956.82 919.01 966.04 974.40 1062.32 983.45 928.43 1039.60 949.15 963.00 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Test Cases Per Minute Per Watt
OpenBenchmarking.org Test Cases Per Minute Per Watt, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 9.72 15.18 16.01 18.67 12.12 18.67 10.48 15.04 11.43 15.32 18.12 16.03 11.25 10.78
Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 951.37 / Avg: 954.2 / Max: 956.21 Min: 962.13 / Avg: 962.88 / Max: 963.5 Min: 942.97 / Avg: 943.29 / Max: 943.63 Min: 876.05 / Avg: 876.45 / Max: 877.26 Min: 955.86 / Avg: 956.82 / Max: 958.45 Min: 918.04 / Avg: 919.01 / Max: 919.66 Min: 965.08 / Avg: 966.04 / Max: 966.9 Min: 973.64 / Avg: 974.4 / Max: 975.08 Min: 1061.29 / Avg: 1062.32 / Max: 1062.84 Min: 982.72 / Avg: 983.45 / Max: 984.87 Min: 926.64 / Avg: 928.43 / Max: 930.77 Min: 1037.63 / Avg: 1039.6 / Max: 1042.55 Min: 947.85 / Avg: 949.15 / Max: 950.57 Min: 961.75 / Avg: 963 / Max: 965.37 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.5648 1.1296 1.6944 2.2592 2.824 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.17 2.19 2.14 1.98 2.16 2.05 2.16 2.20 2.51 2.22 2.08 2.38 2.15 2.12 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.009 0.018 0.027 0.036 0.045 0.03 0.04 0.04 0.04 0.03 0.04 0.03 0.04 0.03 0.04 0.04 0.04 0.03 0.03
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 2.17 / Avg: 2.17 / Max: 2.17 Min: 2.19 / Avg: 2.19 / Max: 2.19 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 2.15 / Avg: 2.16 / Max: 2.16 Min: 2.04 / Avg: 2.05 / Max: 2.06 Min: 2.15 / Avg: 2.16 / Max: 2.16 Min: 2.2 / Avg: 2.2 / Max: 2.2 Min: 2.5 / Avg: 2.51 / Max: 2.51 Min: 2.21 / Avg: 2.22 / Max: 2.23 Min: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.37 / Avg: 2.38 / Max: 2.39 Min: 2.14 / Avg: 2.15 / Max: 2.15 Min: 2.12 / Avg: 2.12 / Max: 2.13 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 8 16 24 32 40 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 SE +/- 0.00, N = 4 SE +/- 0.01, N = 3 SE +/- 0.00, N = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 4 6.35 11.71 16.68 33.15 7.42 22.40 6.38 9.73 14.02 9.08 17.73 27.16 9.99 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 7 14 21 28 35 Min: 6.35 / Avg: 6.35 / Max: 6.36 Min: 11.71 / Avg: 11.71 / Max: 11.72 Min: 16.67 / Avg: 16.68 / Max: 16.69 Min: 33.13 / Avg: 33.15 / Max: 33.18 Min: 7.41 / Avg: 7.42 / Max: 7.42 Min: 22.39 / Avg: 22.4 / Max: 22.42 Min: 6.36 / Avg: 6.38 / Max: 6.4 Min: 9.73 / Avg: 9.73 / Max: 9.74 Min: 14 / Avg: 14.02 / Max: 14.03 Min: 9.08 / Avg: 9.08 / Max: 9.08 Min: 17.72 / Avg: 17.73 / Max: 17.74 Min: 27.15 / Avg: 27.16 / Max: 27.17 Min: 9.99 / Avg: 9.99 / Max: 9.99 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Timed ImageMagick Compilation This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 17.12 20.43 23.55 37.72 18.06 28.22 17.19 19.41 21.63 18.94 25.46 28.60 19.27 17.67
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 16.99 / Avg: 17.11 / Max: 17.27 Min: 20.3 / Avg: 20.43 / Max: 20.52 Min: 23.47 / Avg: 23.55 / Max: 23.6 Min: 37.4 / Avg: 37.72 / Max: 38.01 Min: 17.88 / Avg: 18.06 / Max: 18.19 Min: 28.17 / Avg: 28.22 / Max: 28.26 Min: 16.99 / Avg: 17.19 / Max: 17.31 Min: 19.38 / Avg: 19.4 / Max: 19.45 Min: 21.4 / Avg: 21.63 / Max: 21.91 Min: 18.83 / Avg: 18.93 / Max: 19.02 Min: 25.14 / Avg: 25.46 / Max: 25.64 Min: 28.39 / Avg: 28.6 / Max: 28.73 Min: 19.16 / Avg: 19.27 / Max: 19.35 Min: 17.49 / Avg: 17.67 / Max: 17.79
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 9.6.0+dfsg Processing 60 Page PDF Document EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 8 16 24 32 40 SE +/- 0.20, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 18.73 20.87 23.39 33.02 18.86 26.90 18.79 19.38 19.86 18.66 24.23 27.20 19.94
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 9.6.0+dfsg Processing 60 Page PDF Document EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 7 14 21 28 35 Min: 18.39 / Avg: 18.73 / Max: 19.1 Min: 20.74 / Avg: 20.87 / Max: 21.08 Min: 23.21 / Avg: 23.39 / Max: 23.54 Min: 32.94 / Avg: 33.02 / Max: 33.14 Min: 18.73 / Avg: 18.85 / Max: 18.96 Min: 26.81 / Avg: 26.9 / Max: 26.96 Min: 18.7 / Avg: 18.79 / Max: 18.88 Min: 19.15 / Avg: 19.38 / Max: 19.51 Min: 19.76 / Avg: 19.86 / Max: 19.94 Min: 18.45 / Avg: 18.66 / Max: 18.82 Min: 24.11 / Avg: 24.23 / Max: 24.33 Min: 26.98 / Avg: 27.2 / Max: 27.33 Min: 19.92 / Avg: 19.94 / Max: 19.97
Scikit-Learn Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.051, N = 5 SE +/- 0.006, N = 5 SE +/- 0.012, N = 5 SE +/- 0.168, N = 15 SE +/- 0.009, N = 5 SE +/- 0.007, N = 5 SE +/- 0.006, N = 5 SE +/- 0.003, N = 5 SE +/- 0.031, N = 5 SE +/- 0.158, N = 15 SE +/- 0.010, N = 5 SE +/- 0.004, N = 5 SE +/- 0.004, N = 5 SE +/- 0.016, N = 5 10.131 10.154 10.281 11.327 10.358 10.746 10.130 10.083 9.240 10.074 10.539 9.293 10.325 10.337
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 10.04 / Avg: 10.13 / Max: 10.33 Min: 10.13 / Avg: 10.15 / Max: 10.17 Min: 10.25 / Avg: 10.28 / Max: 10.32 Min: 11.13 / Avg: 11.33 / Max: 13.67 Min: 10.34 / Avg: 10.36 / Max: 10.39 Min: 10.72 / Avg: 10.75 / Max: 10.76 Min: 10.11 / Avg: 10.13 / Max: 10.14 Min: 10.08 / Avg: 10.08 / Max: 10.09 Min: 9.14 / Avg: 9.24 / Max: 9.33 Min: 9.88 / Avg: 10.07 / Max: 12.28 Min: 10.52 / Avg: 10.54 / Max: 10.57 Min: 9.28 / Avg: 9.29 / Max: 9.3 Min: 10.32 / Avg: 10.33 / Max: 10.34 Min: 10.28 / Avg: 10.34 / Max: 10.37
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.017, N = 5 SE +/- 0.042, N = 4 SE +/- 0.034, N = 3 SE +/- 0.040, N = 4 SE +/- 0.119, N = 4 SE +/- 0.079, N = 3 SE +/- 0.030, N = 5 SE +/- 0.007, N = 4 SE +/- 0.049, N = 4 SE +/- 0.022, N = 4 SE +/- 0.159, N = 8 SE +/- 0.017, N = 3 SE +/- 0.016, N = 5 SE +/- 0.074, N = 15 8.928 14.761 17.729 15.540 12.027 16.895 8.905 14.320 15.049 14.316 18.189 19.707 9.913 9.185 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 8.9 / Avg: 8.93 / Max: 8.99 Min: 14.65 / Avg: 14.76 / Max: 14.83 Min: 17.66 / Avg: 17.73 / Max: 17.77 Min: 15.47 / Avg: 15.54 / Max: 15.65 Min: 11.69 / Avg: 12.03 / Max: 12.26 Min: 16.76 / Avg: 16.9 / Max: 17.03 Min: 8.85 / Avg: 8.91 / Max: 9.02 Min: 14.31 / Avg: 14.32 / Max: 14.34 Min: 14.94 / Avg: 15.05 / Max: 15.15 Min: 14.25 / Avg: 14.32 / Max: 14.36 Min: 17.99 / Avg: 18.19 / Max: 19.3 Min: 19.68 / Avg: 19.71 / Max: 19.74 Min: 9.88 / Avg: 9.91 / Max: 9.97 Min: 9.06 / Avg: 9.19 / Max: 10.22 1. (CXX) g++ options: -O2 -lOpenCL
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 + Dithering EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60 120 180 240 300 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 220.80 220.71 217.50 210.93 217.50 211.03 217.45 220.76 256.42 223.49 210.72 257.01 216.79 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Mpx/s Per Watt
OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 0.7 Configuration: ETC1 + Dithering EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1.2038 2.4076 3.6114 4.8152 6.019 3.28 4.70 4.57 5.35 3.92 5.28 3.28 4.65 3.74 4.78 5.14 5.05 3.32
Result Confidence
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 + Dithering EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 Min: 220.64 / Avg: 220.8 / Max: 220.91 Min: 220.68 / Avg: 220.71 / Max: 220.76 Min: 217.45 / Avg: 217.5 / Max: 217.57 Min: 210.74 / Avg: 210.93 / Max: 211.03 Min: 217.48 / Avg: 217.5 / Max: 217.52 Min: 210.87 / Avg: 211.03 / Max: 211.13 Min: 217.36 / Avg: 217.45 / Max: 217.6 Min: 220.68 / Avg: 220.76 / Max: 220.9 Min: 256.36 / Avg: 256.42 / Max: 256.5 Min: 223.43 / Avg: 223.49 / Max: 223.58 Min: 210.52 / Avg: 210.72 / Max: 210.94 Min: 257 / Avg: 257.01 / Max: 257.02 Min: 216.67 / Avg: 216.79 / Max: 216.93 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 70 140 210 280 350 SE +/- 0.80, N = 3 SE +/- 0.19, N = 3 SE +/- 0.82, N = 3 SE +/- 0.77, N = 3 SE +/- 1.22, N = 3 SE +/- 0.11, N = 3 SE +/- 0.83, N = 3 SE +/- 0.71, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 1.44, N = 3 SE +/- 0.36, N = 3 SE +/- 0.26, N = 3 SE +/- 1.03, N = 3 313.01 314.31 318.37 327.99 318.67 328.36 317.55 312.89 269.92 308.94 328.64 269.64 318.58 318.67 MIN: 310.72 / MAX: 314.66 MIN: 311.3 / MAX: 317.52 MIN: 315.66 / MAX: 323.53 MIN: 325.21 / MAX: 329.77 MIN: 315.63 / MAX: 323.01 MIN: 325.02 / MAX: 339.93 MIN: 315.59 / MAX: 319.4 MIN: 310.9 / MAX: 315.08 MIN: 267.18 / MAX: 272.47 MIN: 306.29 / MAX: 322.41 MIN: 325.19 / MAX: 342.8 MIN: 267.19 / MAX: 279.76 MIN: 315.09 / MAX: 320.21 MIN: 315.68 / MAX: 321.91 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 Min: 311.43 / Avg: 313.01 / Max: 313.95 Min: 313.92 / Avg: 314.31 / Max: 314.52 Min: 317.19 / Avg: 318.37 / Max: 319.96 Min: 326.49 / Avg: 327.99 / Max: 329.05 Min: 316.23 / Avg: 318.67 / Max: 320.01 Min: 328.14 / Avg: 328.36 / Max: 328.49 Min: 316.01 / Avg: 317.55 / Max: 318.87 Min: 311.52 / Avg: 312.89 / Max: 313.94 Min: 269.68 / Avg: 269.92 / Max: 270.07 Min: 308.42 / Avg: 308.94 / Max: 309.44 Min: 325.78 / Avg: 328.64 / Max: 330.41 Min: 269.01 / Avg: 269.64 / Max: 270.25 Min: 318.08 / Avg: 318.58 / Max: 318.92 Min: 316.65 / Avg: 318.67 / Max: 319.98 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.00645, N = 3 SE +/- 0.02587, N = 3 SE +/- 0.00946, N = 3 SE +/- 0.02294, N = 3 SE +/- 0.00201, N = 3 SE +/- 0.00535, N = 3 SE +/- 0.00798, N = 3 SE +/- 0.00464, N = 3 SE +/- 0.02104, N = 3 SE +/- 0.00531, N = 3 SE +/- 0.02527, N = 3 SE +/- 0.00611, N = 3 SE +/- 0.00309, N = 3 SE +/- 0.00608, N = 3 1.88842 5.92204 6.03497 8.67154 1.99707 5.25331 1.79874 2.15194 5.49605 2.06983 6.06333 7.23763 2.20543 1.93042 MIN: 1.8 MIN: 5.79 MIN: 5.92 MIN: 8.41 MIN: 1.91 MIN: 5.07 MIN: 1.69 MIN: 2.02 MIN: 5.32 MIN: 2 MIN: 5.87 MIN: 7.01 MIN: 2.05 MIN: 1.82 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 5.89 / Avg: 5.92 / Max: 5.97 Min: 6.02 / Avg: 6.03 / Max: 6.04 Min: 8.63 / Avg: 8.67 / Max: 8.71 Min: 1.99 / Avg: 2 / Max: 2 Min: 5.25 / Avg: 5.25 / Max: 5.26 Min: 1.78 / Avg: 1.8 / Max: 1.81 Min: 2.15 / Avg: 2.15 / Max: 2.16 Min: 5.46 / Avg: 5.5 / Max: 5.54 Min: 2.06 / Avg: 2.07 / Max: 2.08 Min: 6.02 / Avg: 6.06 / Max: 6.1 Min: 7.23 / Avg: 7.24 / Max: 7.25 Min: 2.2 / Avg: 2.21 / Max: 2.21 Min: 1.92 / Avg: 1.93 / Max: 1.94 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.043, N = 3 SE +/- 0.017, N = 3 SE +/- 0.008, N = 3 SE +/- 0.012, N = 3 SE +/- 0.008, N = 3 SE +/- 0.060, N = 3 SE +/- 0.032, N = 3 SE +/- 0.035, N = 4 SE +/- 0.032, N = 4 SE +/- 0.006, N = 3 SE +/- 0.023, N = 3 SE +/- 0.048, N = 4 SE +/- 0.039, N = 4 6.752 5.563 4.506 2.536 6.494 3.593 6.966 5.866 5.333 6.091 4.225 3.184 5.958 6.678 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0135 0.027 0.0405 0.054 0.0675 0.06 0.05 0.05 0.04 0.06 0.04 0.06 0.06 0.03 0.06 0.05 0.03 0.05 0.06
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 6.75 / Avg: 6.75 / Max: 6.76 Min: 5.48 / Avg: 5.56 / Max: 5.61 Min: 4.47 / Avg: 4.51 / Max: 4.53 Min: 2.52 / Avg: 2.54 / Max: 2.55 Min: 6.47 / Avg: 6.49 / Max: 6.51 Min: 3.58 / Avg: 3.59 / Max: 3.61 Min: 6.88 / Avg: 6.97 / Max: 7.08 Min: 5.8 / Avg: 5.87 / Max: 5.91 Min: 5.23 / Avg: 5.33 / Max: 5.39 Min: 6.04 / Avg: 6.09 / Max: 6.18 Min: 4.22 / Avg: 4.23 / Max: 4.24 Min: 3.14 / Avg: 3.18 / Max: 3.21 Min: 5.88 / Avg: 5.96 / Max: 6.09 Min: 6.57 / Avg: 6.68 / Max: 6.75 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 60 120 180 240 300 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 233.35 233.39 229.56 223.03 229.46 222.62 229.86 233.51 271.07 236.91 222.36 271.32 229.73 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Mpx/s Per Watt
OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 0.7 Configuration: ETC1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1.2713 2.5426 3.8139 5.0852 6.3565 3.48 4.94 4.81 5.65 4.14 5.60 3.46 4.95 3.89 5.04 5.44 5.29 3.48
Result Confidence
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 50 100 150 200 250 Min: 233.22 / Avg: 233.35 / Max: 233.6 Min: 233.07 / Avg: 233.39 / Max: 233.6 Min: 229.4 / Avg: 229.56 / Max: 229.64 Min: 222.74 / Avg: 223.03 / Max: 223.2 Min: 229.45 / Avg: 229.46 / Max: 229.47 Min: 222.56 / Avg: 222.62 / Max: 222.66 Min: 229.54 / Avg: 229.86 / Max: 230.03 Min: 233.3 / Avg: 233.51 / Max: 233.66 Min: 270.72 / Avg: 271.07 / Max: 271.3 Min: 236.57 / Avg: 236.91 / Max: 237.18 Min: 221.94 / Avg: 222.36 / Max: 222.64 Min: 271.12 / Avg: 271.32 / Max: 271.69 Min: 229.59 / Avg: 229.73 / Max: 229.93 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
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.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 20.39 20.50 20.87 22.45 20.85 21.27 20.90 20.29 17.67 20.10 21.38 17.70 20.86 20.86 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 20.19 / Avg: 20.39 / Max: 20.52 Min: 20.34 / Avg: 20.5 / Max: 20.64 Min: 20.48 / Avg: 20.87 / Max: 21.12 Min: 22.41 / Avg: 22.45 / Max: 22.5 Min: 20.67 / Avg: 20.85 / Max: 20.97 Min: 21.11 / Avg: 21.27 / Max: 21.58 Min: 20.76 / Avg: 20.9 / Max: 21.07 Min: 20.1 / Avg: 20.29 / Max: 20.55 Min: 17.4 / Avg: 17.67 / Max: 17.81 Min: 19.77 / Avg: 20.1 / Max: 20.29 Min: 21.02 / Avg: 21.38 / Max: 21.69 Min: 17.51 / Avg: 17.7 / Max: 17.84 Min: 20.71 / Avg: 20.86 / Max: 21.01 Min: 20.76 / Avg: 20.86 / Max: 20.97 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9 18 27 36 45 SE +/- 0.00, N = 5 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 6 SE +/- 0.00, N = 3 SE +/- 0.17, N = 5 SE +/- 0.06, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 4 SE +/- 0.08, N = 6 SE +/- 0.00, N = 6 40.00 20.83 14.08 6.99 34.48 10.42 40.00 26.05 13.45 27.78 13.89 8.16 25.00 34.48 MIN: 34.48 / MAX: 41.67 MIN: 20.41 / MAX: 21.28 MIN: 12.99 / MAX: 14.29 MIN: 5.95 / MAX: 7.04 MIN: 33.33 / MAX: 35.71 MIN: 10.1 / MAX: 10.64 MIN: 38.46 / MAX: 41.67 MIN: 25.64 / MAX: 26.32 MIN: 12.82 / MAX: 13.89 MIN: 27.03 MIN: 13.33 / MAX: 14.08 MIN: 6.85 / MAX: 8.4 MIN: 23.81 / MAX: 25.64 MIN: 33.33 / MAX: 35.71
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0698 0.1396 0.2094 0.2792 0.349 0.30 0.17 0.15 0.11 0.28 0.13 0.31 0.23 0.09 0.22 0.16 0.08 0.19 0.25
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 6.99 / Avg: 6.99 / Max: 6.99 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 10.42 / Avg: 10.42 / Max: 10.42 Min: 25.64 / Avg: 26.05 / Max: 26.32 Min: 13.33 / Avg: 13.45 / Max: 13.51 Min: 27.78 / Avg: 27.78 / Max: 27.78 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 7.75 / Avg: 8.16 / Max: 8.26 Min: 34.48 / Avg: 34.48 / Max: 34.48
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 4 SE +/- 0.17, N = 3 SE +/- 0.10, N = 4 SE +/- 0.15, N = 4 SE +/- 0.08, N = 4 SE +/- 0.06, N = 4 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 4 SE +/- 0.13, N = 4 15.94 16.12 17.18 23.56 15.97 19.11 15.97 15.85 14.60 15.72 18.10 18.88 16.33 15.89
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 Min: 15.88 / Avg: 15.94 / Max: 16.04 Min: 16.01 / Avg: 16.12 / Max: 16.23 Min: 17 / Avg: 17.18 / Max: 17.52 Min: 23.35 / Avg: 23.56 / Max: 23.91 Min: 15.82 / Avg: 15.97 / Max: 16.13 Min: 18.77 / Avg: 19.11 / Max: 19.31 Min: 15.81 / Avg: 15.97 / Max: 16.23 Min: 15.61 / Avg: 15.85 / Max: 16.23 Min: 14.38 / Avg: 14.6 / Max: 14.74 Min: 15.6 / Avg: 15.72 / Max: 15.88 Min: 17.96 / Avg: 18.1 / Max: 18.29 Min: 18.71 / Avg: 18.88 / Max: 19.01 Min: 16.13 / Avg: 16.33 / Max: 16.51 Min: 15.65 / Avg: 15.89 / Max: 16.17
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 20.56 20.48 20.79 21.55 20.81 21.39 20.78 20.69 17.60 20.11 21.42 17.56 20.79 20.74
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 20.54 / Avg: 20.56 / Max: 20.59 Min: 20.46 / Avg: 20.48 / Max: 20.5 Min: 20.67 / Avg: 20.79 / Max: 20.9 Min: 21.5 / Avg: 21.55 / Max: 21.61 Min: 20.79 / Avg: 20.81 / Max: 20.83 Min: 21.37 / Avg: 21.39 / Max: 21.42 Min: 20.77 / Avg: 20.78 / Max: 20.8 Min: 20.68 / Avg: 20.69 / Max: 20.7 Min: 17.53 / Avg: 17.6 / Max: 17.67 Min: 20.1 / Avg: 20.11 / Max: 20.15 Min: 21.35 / Avg: 21.42 / Max: 21.51 Min: 17.53 / Avg: 17.56 / Max: 17.6 Min: 20.71 / Avg: 20.79 / Max: 20.84 Min: 20.73 / Avg: 20.74 / Max: 20.77
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 90 180 270 360 450 SE +/- 0.16, N = 3 SE +/- 0.40, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 368.93 368.38 362.20 352.29 363.50 352.07 362.99 368.69 429.14 374.52 351.14 429.41 363.10 361.80 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Botan 2.13.0 Test: Blowfish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 5.49 7.92 7.70 8.96 6.50 8.88 5.51 7.85 6.21 8.01 8.62 8.25 5.52 5.83
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 Min: 368.71 / Avg: 368.93 / Max: 369.25 Min: 367.96 / Avg: 368.38 / Max: 369.17 Min: 362.03 / Avg: 362.2 / Max: 362.49 Min: 352.1 / Avg: 352.29 / Max: 352.53 Min: 363.36 / Avg: 363.5 / Max: 363.69 Min: 351.75 / Avg: 352.07 / Max: 352.26 Min: 362.68 / Avg: 362.99 / Max: 363.15 Min: 368.54 / Avg: 368.69 / Max: 368.97 Min: 429.06 / Avg: 429.14 / Max: 429.27 Min: 374.32 / Avg: 374.52 / Max: 374.67 Min: 350.66 / Avg: 351.14 / Max: 351.45 Min: 429.18 / Avg: 429.41 / Max: 429.7 Min: 362.85 / Avg: 363.1 / Max: 363.25 Min: 361.43 / Avg: 361.8 / Max: 362.1 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.4541 0.9082 1.3623 1.8164 2.2705 SE +/- 0.002887, N = 4 SE +/- 0.000660, N = 4 SE +/- 0.000863, N = 4 SE +/- 0.005714, N = 4 SE +/- 0.004962, N = 15 SE +/- 0.000447, N = 4 SE +/- 0.005359, N = 5 SE +/- 0.000902, N = 4 SE +/- 0.001140, N = 4 SE +/- 0.000738, N = 4 SE +/- 0.000258, N = 4 SE +/- 0.001580, N = 4 SE +/- 0.005528, N = 6 SE +/- 0.003528, N = 4 0.587443 0.592308 0.802272 2.018380 0.533961 1.093440 0.517023 0.537636 0.660419 0.500521 0.875749 1.160170 0.553444 0.484219 MIN: 0.54 MIN: 0.56 MIN: 0.72 MIN: 1.95 MIN: 0.49 MIN: 0.96 MIN: 0.47 MIN: 0.51 MIN: 0.62 MIN: 0.48 MIN: 0.74 MIN: 1.13 MIN: 0.49 MIN: 0.46 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.58 / Avg: 0.59 / Max: 0.6 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 2 / Avg: 2.02 / Max: 2.03 Min: 0.51 / Avg: 0.53 / Max: 0.57 Min: 1.09 / Avg: 1.09 / Max: 1.09 Min: 0.5 / Avg: 0.52 / Max: 0.53 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.66 / Avg: 0.66 / Max: 0.66 Min: 0.5 / Avg: 0.5 / Max: 0.5 Min: 0.88 / Avg: 0.88 / Max: 0.88 Min: 1.16 / Avg: 1.16 / Max: 1.16 Min: 0.54 / Avg: 0.55 / Max: 0.58 Min: 0.48 / Avg: 0.48 / Max: 0.49 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Twofish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.37, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 302.14 302.12 297.65 288.70 297.10 288.62 297.81 302.25 351.63 306.62 287.93 351.99 297.71 296.91 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Botan 2.13.0 Test: Twofish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 4.50 6.50 6.28 7.37 5.41 7.30 4.53 6.42 5.10 6.60 7.11 6.82 4.57 4.77
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Twofish EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 Min: 302.1 / Avg: 302.14 / Max: 302.21 Min: 301.76 / Avg: 302.12 / Max: 302.35 Min: 297.5 / Avg: 297.65 / Max: 297.86 Min: 288.49 / Avg: 288.7 / Max: 288.83 Min: 297.02 / Avg: 297.1 / Max: 297.2 Min: 288.49 / Avg: 288.62 / Max: 288.69 Min: 297.64 / Avg: 297.81 / Max: 297.92 Min: 302.19 / Avg: 302.25 / Max: 302.32 Min: 351.56 / Avg: 351.63 / Max: 351.71 Min: 305.88 / Avg: 306.62 / Max: 307 Min: 287.77 / Avg: 287.93 / Max: 288.1 Min: 351.85 / Avg: 351.99 / Max: 352.11 Min: 297.66 / Avg: 297.7 / Max: 297.77 Min: 296.81 / Avg: 296.91 / Max: 296.96 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.34, N = 5 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 32.78 32.99 32.62 31.08 32.60 31.63 32.54 32.86 35.56 33.51 32.03 35.48 32.35 32.31 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1508 0.3016 0.4524 0.6032 0.754 0.42 0.59 0.59 0.67 0.51 0.67 0.44 0.59 0.42 0.60 0.66 0.58 0.45 0.44
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 Min: 32.72 / Avg: 32.78 / Max: 32.82 Min: 32.85 / Avg: 32.99 / Max: 33.06 Min: 32.42 / Avg: 32.62 / Max: 32.79 Min: 31.04 / Avg: 31.08 / Max: 31.13 Min: 32.57 / Avg: 32.6 / Max: 32.62 Min: 31.58 / Avg: 31.63 / Max: 31.69 Min: 32.54 / Avg: 32.54 / Max: 32.55 Min: 31.51 / Avg: 32.86 / Max: 33.21 Min: 35.51 / Avg: 35.56 / Max: 35.62 Min: 33.4 / Avg: 33.51 / Max: 33.6 Min: 31.98 / Avg: 32.03 / Max: 32.11 Min: 35.37 / Avg: 35.48 / Max: 35.54 Min: 32.3 / Avg: 32.35 / Max: 32.38 Min: 32.25 / Avg: 32.31 / Max: 32.36 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.0662 2.1324 3.1986 4.2648 5.331 SE +/- 0.00178, N = 4 SE +/- 0.00090, N = 4 SE +/- 0.00144, N = 4 SE +/- 0.00331, N = 4 SE +/- 0.00439, N = 4 SE +/- 0.00316, N = 4 SE +/- 0.01406, N = 4 SE +/- 0.00185, N = 4 SE +/- 0.01053, N = 4 SE +/- 0.00341, N = 4 SE +/- 0.00488, N = 4 SE +/- 0.00382, N = 4 SE +/- 0.00891, N = 4 SE +/- 0.00906, N = 4 1.70360 1.82951 2.41082 4.73866 1.59938 3.80955 1.48981 1.59300 1.98035 1.47222 3.44668 3.56020 1.61502 1.46775 MIN: 1.48 MIN: 1.74 MIN: 2.2 MIN: 4.55 MIN: 1.51 MIN: 3.44 MIN: 1.33 MIN: 1.51 MIN: 1.86 MIN: 1.41 MIN: 2.92 MIN: 3.44 MIN: 1.5 MIN: 1.39 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.7 / Avg: 1.7 / Max: 1.71 Min: 1.83 / Avg: 1.83 / Max: 1.83 Min: 2.41 / Avg: 2.41 / Max: 2.41 Min: 4.73 / Avg: 4.74 / Max: 4.74 Min: 1.59 / Avg: 1.6 / Max: 1.61 Min: 3.8 / Avg: 3.81 / Max: 3.81 Min: 1.45 / Avg: 1.49 / Max: 1.52 Min: 1.59 / Avg: 1.59 / Max: 1.6 Min: 1.96 / Avg: 1.98 / Max: 2.01 Min: 1.46 / Avg: 1.47 / Max: 1.48 Min: 3.43 / Avg: 3.45 / Max: 3.45 Min: 3.55 / Avg: 3.56 / Max: 3.57 Min: 1.6 / Avg: 1.62 / Max: 1.64 Min: 1.45 / Avg: 1.47 / Max: 1.49 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.7576 1.5152 2.2728 3.0304 3.788 SE +/- 0.01081, N = 4 SE +/- 0.00089, N = 4 SE +/- 0.00055, N = 4 SE +/- 0.00108, N = 4 SE +/- 0.01048, N = 4 SE +/- 0.00157, N = 4 SE +/- 0.01452, N = 4 SE +/- 0.00119, N = 4 SE +/- 0.00643, N = 4 SE +/- 0.00302, N = 4 SE +/- 0.00098, N = 4 SE +/- 0.00055, N = 4 SE +/- 0.00172, N = 4 SE +/- 0.00473, N = 4 1.80598 1.43487 1.74975 3.36727 1.73007 2.43760 1.74199 1.18204 1.52143 1.16402 1.80647 2.79034 1.21230 1.66750 MIN: 1.54 MIN: 1.4 MIN: 1.72 MIN: 3.3 MIN: 1.5 MIN: 2.4 MIN: 1.45 MIN: 1.13 MIN: 1.48 MIN: 1.12 MIN: 1.75 MIN: 2.71 MIN: 1.14 MIN: 1.4 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.78 / Avg: 1.81 / Max: 1.83 Min: 1.43 / Avg: 1.43 / Max: 1.44 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 3.37 / Avg: 3.37 / Max: 3.37 Min: 1.72 / Avg: 1.73 / Max: 1.76 Min: 2.43 / Avg: 2.44 / Max: 2.44 Min: 1.72 / Avg: 1.74 / Max: 1.78 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 1.51 / Avg: 1.52 / Max: 1.54 Min: 1.16 / Avg: 1.16 / Max: 1.17 Min: 1.8 / Avg: 1.81 / Max: 1.81 Min: 2.79 / Avg: 2.79 / Max: 2.79 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 1.65 / Avg: 1.67 / Max: 1.67 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.28, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 120.00 119.99 117.88 114.59 118.32 114.69 118.23 120.06 139.71 121.92 114.47 139.83 118.29 117.99 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Botan 2.13.0 Test: CAST-256 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.675 1.35 2.025 2.7 3.375 1.83 2.65 2.56 3.00 2.16 2.98 1.82 2.61 2.09 2.67 2.88 2.83 1.83 1.93
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30 60 90 120 150 Min: 119.99 / Avg: 119.99 / Max: 120.01 Min: 119.95 / Avg: 119.99 / Max: 120.04 Min: 117.32 / Avg: 117.88 / Max: 118.21 Min: 114.51 / Avg: 114.59 / Max: 114.64 Min: 118.29 / Avg: 118.32 / Max: 118.36 Min: 114.63 / Avg: 114.69 / Max: 114.8 Min: 118.06 / Avg: 118.23 / Max: 118.33 Min: 119.97 / Avg: 120.06 / Max: 120.12 Min: 139.63 / Avg: 139.71 / Max: 139.74 Min: 121.89 / Avg: 121.92 / Max: 121.94 Min: 114.34 / Avg: 114.47 / Max: 114.63 Min: 139.8 / Avg: 139.83 / Max: 139.86 Min: 118.22 / Avg: 118.29 / Max: 118.36 Min: 117.81 / Avg: 117.99 / Max: 118.19 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: KASUMI EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 77.70 77.57 76.51 74.27 76.58 74.21 76.55 77.69 90.42 78.88 74.06 90.46 76.53 76.22 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
MiB/s Per Watt
OpenBenchmarking.org MiB/s Per Watt, More Is Better Botan 2.13.0 Test: KASUMI EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.4365 0.873 1.3095 1.746 2.1825 1.18 1.70 1.66 1.94 1.40 1.92 1.18 1.69 1.33 1.73 1.86 1.82 1.18 1.25
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: KASUMI EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 Min: 77.66 / Avg: 77.7 / Max: 77.77 Min: 77.5 / Avg: 77.57 / Max: 77.66 Min: 76.49 / Avg: 76.51 / Max: 76.52 Min: 74.23 / Avg: 74.27 / Max: 74.29 Min: 76.57 / Avg: 76.57 / Max: 76.58 Min: 74.18 / Avg: 74.21 / Max: 74.22 Min: 76.54 / Avg: 76.55 / Max: 76.55 Min: 77.68 / Avg: 77.69 / Max: 77.7 Min: 90.37 / Avg: 90.42 / Max: 90.45 Min: 78.84 / Avg: 78.88 / Max: 78.91 Min: 73.98 / Avg: 74.06 / Max: 74.21 Min: 90.45 / Avg: 90.46 / Max: 90.47 Min: 76.42 / Avg: 76.53 / Max: 76.6 Min: 76.12 / Avg: 76.22 / Max: 76.31 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 SE +/- 0.066, N = 8 SE +/- 0.007, N = 4 SE +/- 0.022, N = 4 SE +/- 0.030, N = 3 SE +/- 0.083, N = 6 SE +/- 0.065, N = 3 SE +/- 0.051, N = 15 SE +/- 0.030, N = 5 SE +/- 0.022, N = 4 SE +/- 0.005, N = 5 SE +/- 0.009, N = 4 SE +/- 0.078, N = 3 SE +/- 0.057, N = 5 SE +/- 0.073, N = 5 7.819 11.577 15.445 25.374 8.405 18.134 7.747 9.892 13.530 9.806 14.792 22.218 9.858 8.434 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 6 12 18 24 30 Min: 7.45 / Avg: 7.82 / Max: 8.05 Min: 11.57 / Avg: 11.58 / Max: 11.6 Min: 15.41 / Avg: 15.44 / Max: 15.51 Min: 25.33 / Avg: 25.37 / Max: 25.43 Min: 8.14 / Avg: 8.41 / Max: 8.71 Min: 18.02 / Avg: 18.13 / Max: 18.24 Min: 7.37 / Avg: 7.75 / Max: 8.02 Min: 9.81 / Avg: 9.89 / Max: 9.96 Min: 13.49 / Avg: 13.53 / Max: 13.59 Min: 9.79 / Avg: 9.81 / Max: 9.82 Min: 14.76 / Avg: 14.79 / Max: 14.8 Min: 22.12 / Avg: 22.22 / Max: 22.37 Min: 9.76 / Avg: 9.86 / Max: 10.08 Min: 8.16 / Avg: 8.43 / Max: 8.59 1. (CXX) g++ options: -O2 -lOpenCL
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 7 14 21 28 35 SE +/- 0.03, N = 6 SE +/- 0.01, N = 4 SE +/- 0.12, N = 6 SE +/- 0.00, N = 3 SE +/- 0.02, N = 6 SE +/- 0.00, N = 3 SE +/- 0.04, N = 6 SE +/- 0.01, N = 5 SE +/- 0.02, N = 4 SE +/- 0.01, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 5 27.67 17.17 12.18 6.55 26.13 9.03 29.41 20.25 14.24 21.55 11.34 7.94 20.14
Images / Sec Per Watt
OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 0.0473 0.0946 0.1419 0.1892 0.2365 0.20 0.13 0.11 0.08 0.20 0.10 0.21 0.16 0.07 0.16 0.12 0.06 0.15
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 7 14 21 28 35 Min: 27.55 / Avg: 27.67 / Max: 27.73 Min: 17.16 / Avg: 17.17 / Max: 17.19 Min: 11.56 / Avg: 12.18 / Max: 12.32 Min: 6.54 / Avg: 6.55 / Max: 6.55 Min: 26.05 / Avg: 26.13 / Max: 26.17 Min: 9.02 / Avg: 9.03 / Max: 9.03 Min: 29.29 / Avg: 29.41 / Max: 29.54 Min: 20.23 / Avg: 20.25 / Max: 20.28 Min: 14.2 / Avg: 14.24 / Max: 14.27 Min: 21.52 / Avg: 21.55 / Max: 21.6 Min: 11.34 / Avg: 11.34 / Max: 11.36 Min: 7.92 / Avg: 7.94 / Max: 7.96 Min: 20.11 / Avg: 20.14 / Max: 20.18
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 SE +/- 2.16, N = 3 SE +/- 3.44, N = 3 SE +/- 0.62, N = 3 SE +/- 1.09, N = 3 SE +/- 0.98, N = 3 SE +/- 2.09, N = 3 SE +/- 1.71, N = 3 SE +/- 1.71, N = 3 SE +/- 0.57, N = 3 SE +/- 1.71, N = 3 SE +/- 2.18, N = 3 SE +/- 1.74, N = 3 SE +/- 0.64, N = 3 SE +/- 0.00, N = 3 432.92 432.33 432.28 351.71 411.53 370.39 439.25 439.25 140.92 439.25 378.81 380.73 439.24 432.90 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Iterations Per Second Per Watt
OpenBenchmarking.org Iterations Per Second Per Watt, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 5.10 7.39 7.45 7.29 5.89 7.49 5.45 7.30 1.59 7.49 7.57 6.05 5.38 5.46
Result Confidence
OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 Min: 429.19 / Avg: 432.92 / Max: 436.68 Min: 425.53 / Avg: 432.33 / Max: 436.68 Min: 431.03 / Avg: 432.28 / Max: 432.9 Min: 349.65 / Avg: 351.71 / Max: 353.36 Min: 409.84 / Avg: 411.53 / Max: 413.22 Min: 366.3 / Avg: 370.39 / Max: 373.13 Min: 436.68 / Avg: 439.25 / Max: 442.48 Min: 436.68 / Avg: 439.25 / Max: 442.48 Min: 140.25 / Avg: 140.92 / Max: 142.05 Min: 436.68 / Avg: 439.25 / Max: 442.48 Min: 374.53 / Avg: 378.81 / Max: 381.68 Min: 377.36 / Avg: 380.73 / Max: 383.14 Min: 438.6 / Avg: 439.24 / Max: 440.53 Min: 432.9 / Avg: 432.9 / Max: 432.9 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.8063 1.6126 2.4189 3.2252 4.0315 SE +/- 0.002127, N = 4 SE +/- 0.009261, N = 15 SE +/- 0.001219, N = 4 SE +/- 0.001594, N = 4 SE +/- 0.000788, N = 4 SE +/- 0.001298, N = 4 SE +/- 0.000537, N = 4 SE +/- 0.003967, N = 4 SE +/- 0.001361, N = 4 SE +/- 0.005244, N = 4 SE +/- 0.001269, N = 4 SE +/- 0.000640, N = 4 SE +/- 0.001948, N = 4 SE +/- 0.001659, N = 4 0.800643 1.295990 1.841780 3.583630 0.868024 2.493720 0.780803 1.073990 1.565030 1.015820 1.913050 3.012920 1.104860 0.863146 MIN: 0.76 MIN: 1.25 MIN: 1.82 MIN: 3.54 MIN: 0.81 MIN: 2.45 MIN: 0.7 MIN: 0.98 MIN: 1.54 MIN: 0.98 MIN: 1.87 MIN: 2.73 MIN: 0.99 MIN: 0.77 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.79 / Avg: 0.8 / Max: 0.8 Min: 1.27 / Avg: 1.3 / Max: 1.37 Min: 1.84 / Avg: 1.84 / Max: 1.85 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 2.49 / Avg: 2.49 / Max: 2.5 Min: 0.78 / Avg: 0.78 / Max: 0.78 Min: 1.07 / Avg: 1.07 / Max: 1.08 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 1 / Avg: 1.02 / Max: 1.03 Min: 1.91 / Avg: 1.91 / Max: 1.92 Min: 3.01 / Avg: 3.01 / Max: 3.01 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 0.86 / Avg: 0.86 / Max: 0.87 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Sysbench This is a benchmark of Sysbench with CPU and memory sub-tests. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Events Per Second, More Is Better Sysbench 2018-07-28 Test: Memory EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2M 4M 6M 8M 10M SE +/- 11992.02, N = 5 SE +/- 6709.34, N = 5 SE +/- 780.60, N = 5 SE +/- 12382.78, N = 5 SE +/- 14871.56, N = 5 SE +/- 1918.40, N = 5 SE +/- 35042.66, N = 5 SE +/- 5458.69, N = 5 SE +/- 17904.29, N = 5 SE +/- 8561.16, N = 5 SE +/- 11575.58, N = 5 SE +/- 717.93, N = 5 SE +/- 61191.25, N = 15 6302136.65 5614019.49 4502591.45 5942474.37 6380400.35 7232205.30 6374595.12 6612746.50 3087955.63 6618850.24 7880986.59 4656182.26 4720934.26 1. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm
Events Per Second Per Watt
OpenBenchmarking.org Events Per Second Per Watt, More Is Better Sysbench 2018-07-28 Test: Memory EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 30K 60K 90K 120K 150K 62605.70 93633.65 83787.81 141909.12 80342.22 160055.91 66221.01 103730.05 37471.23 105418.49 162496.00 84636.76 57649.40
Result Confidence
OpenBenchmarking.org Events Per Second, More Is Better Sysbench 2018-07-28 Test: Memory EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1.4M 2.8M 4.2M 5.6M 7M Min: 6269344.44 / Avg: 6302136.65 / Max: 6328806.52 Min: 5602311.72 / Avg: 5614019.49 / Max: 5638809.43 Min: 4500022.71 / Avg: 4502591.45 / Max: 4504708.71 Min: 5895950.69 / Avg: 5942474.37 / Max: 5962905.57 Min: 6349678.61 / Avg: 6380400.35 / Max: 6428305.03 Min: 7225906.31 / Avg: 7232205.3 / Max: 7236184.18 Min: 6319346.34 / Avg: 6374595.12 / Max: 6505001.22 Min: 6604337.31 / Avg: 6612746.5 / Max: 6634214.25 Min: 3067897.69 / Avg: 3087955.63 / Max: 3159400.31 Min: 6607713.8 / Avg: 6618850.24 / Max: 6652865.09 Min: 7856776.88 / Avg: 7880986.59 / Max: 7920212.37 Min: 4654731.01 / Avg: 4656182.26 / Max: 4658759.57 Min: 4407088.34 / Avg: 4720934.26 / Max: 5255661.79 1. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8 16 24 32 40 SE +/- 0.02278, N = 6 SE +/- 0.02622, N = 4 SE +/- 0.02745, N = 3 SE +/- 0.03115, N = 3 SE +/- 0.04134, N = 5 SE +/- 0.03918, N = 3 SE +/- 0.02077, N = 6 SE +/- 0.00983, N = 5 SE +/- 0.03705, N = 4 SE +/- 0.02895, N = 5 SE +/- 0.03890, N = 3 SE +/- 0.01111, N = 3 SE +/- 0.03618, N = 5 SE +/- 0.03455, N = 5 7.50706 12.26230 16.61750 32.53880 8.71953 21.99580 7.55093 10.57400 14.13270 9.92849 17.65420 26.51610 10.81310 8.56828 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 7 14 21 28 35 Min: 7.46 / Avg: 7.51 / Max: 7.59 Min: 12.21 / Avg: 12.26 / Max: 12.33 Min: 16.56 / Avg: 16.62 / Max: 16.65 Min: 32.48 / Avg: 32.54 / Max: 32.59 Min: 8.63 / Avg: 8.72 / Max: 8.86 Min: 21.93 / Avg: 22 / Max: 22.07 Min: 7.5 / Avg: 7.55 / Max: 7.63 Min: 10.56 / Avg: 10.57 / Max: 10.61 Min: 14.08 / Avg: 14.13 / Max: 14.23 Min: 9.86 / Avg: 9.93 / Max: 10.01 Min: 17.6 / Avg: 17.65 / Max: 17.73 Min: 26.5 / Avg: 26.52 / Max: 26.54 Min: 10.71 / Avg: 10.81 / Max: 10.91 Min: 8.43 / Avg: 8.57 / Max: 8.61 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1500 3000 4500 6000 7500 SE +/- 47.34, N = 4 SE +/- 35.55, N = 4 SE +/- 37.73, N = 3 SE +/- 6.46, N = 4 SE +/- 36.86, N = 4 SE +/- 10.02, N = 4 SE +/- 42.67, N = 4 SE +/- 0.00, N = 4 SE +/- 3.57, N = 4 SE +/- 0.00, N = 4 SE +/- 10.27, N = 4 SE +/- 30.11, N = 2 SE +/- 38.66, N = 4 SE +/- 40.59, N = 4 7148.77 5726.60 5509.30 2616.81 6302.57 3257.04 6699.07 5788.17 1406.93 5788.17 3317.93 4004.08 6455.40 6615.81 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Million Grid Points Per Second Per Watt
OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 96.86 109.78 103.76 58.97 100.05 72.53 92.78 108.49 17.31 108.46 72.91 70.19 89.44 93.63
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1200 2400 3600 4800 6000 Min: 7006.74 / Avg: 7148.77 / Max: 7196.11 Min: 5665.02 / Avg: 5726.6 / Max: 5788.17 Min: 5433.8 / Avg: 5509.27 / Max: 5547 Min: 2610.35 / Avg: 2616.81 / Max: 2636.2 Min: 6192 / Avg: 6302.57 / Max: 6339.43 Min: 3247.02 / Avg: 3257.04 / Max: 3287.11 Min: 6656.4 / Avg: 6699.07 / Max: 6827.08 Min: 5788.17 / Avg: 5788.17 / Max: 5788.17 Min: 1401.35 / Avg: 1406.93 / Max: 1416.26 Min: 5788.17 / Avg: 5788.17 / Max: 5788.17 Min: 3287.11 / Avg: 3317.93 / Max: 3328.2 Min: 3973.97 / Avg: 4004.08 / Max: 4034.18 Min: 6339.43 / Avg: 6455.4 / Max: 6494.05 Min: 6494.05 / Avg: 6615.81 / Max: 6656.4 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2K 4K 6K 8K 10K SE +/- 0.00, N = 4 SE +/- 72.46, N = 4 SE +/- 57.68, N = 5 SE +/- 7.61, N = 4 SE +/- 77.48, N = 4 SE +/- 17.38, N = 4 SE +/- 0.00, N = 4 SE +/- 79.54, N = 4 SE +/- 0.00, N = 4 SE +/- 67.99, N = 4 SE +/- 0.00, N = 4 SE +/- 35.30, N = 4 SE +/- 63.04, N = 4 SE +/- 81.97, N = 4 9509.14 6379.88 5503.59 2840.13 8454.70 4004.08 9509.14 6617.90 2113.14 6658.48 4294.45 4035.11 8257.47 9427.17 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1700 3400 5100 6800 8500 Min: 9509.14 / Avg: 9509.14 / Max: 9509.14 Min: 6192 / Avg: 6379.88 / Max: 6494.05 Min: 5325.12 / Avg: 5503.59 / Max: 5665.02 Min: 2832.51 / Avg: 2840.13 / Max: 2862.97 Min: 8320.5 / Avg: 8454.7 / Max: 8588.9 Min: 3973.97 / Avg: 4004.08 / Max: 4034.18 Min: 9509.14 / Avg: 9509.14 / Max: 9509.14 Min: 6494.05 / Avg: 6617.9 / Max: 6827.08 Min: 2113.14 / Avg: 2113.14 / Max: 2113.14 Min: 6494.05 / Avg: 6658.48 / Max: 6827.08 Min: 4294.45 / Avg: 4294.45 / Max: 4294.45 Min: 3973.97 / Avg: 4035.11 / Max: 4096.25 Min: 8068.36 / Avg: 8257.47 / Max: 8320.5 Min: 9181.24 / Avg: 9427.17 / Max: 9509.14 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 13 26 39 52 65 SE +/- 0.54, N = 5 SE +/- 0.05, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 3 SE +/- 0.48, N = 5 SE +/- 0.05, N = 3 SE +/- 0.44, N = 5 SE +/- 0.05, N = 5 SE +/- 0.02, N = 4 SE +/- 0.05, N = 5 SE +/- 0.03, N = 4 SE +/- 0.04, N = 3 SE +/- 0.03, N = 5 SE +/- 0.16, N = 5 53.52 48.33 41.52 23.11 55.99 31.39 58.64 54.92 47.17 56.98 39.65 27.16 54.07 59.59 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1058 0.2116 0.3174 0.4232 0.529 0.41 0.40 0.40 0.31 0.43 0.35 0.42 0.47 0.26 0.47 0.45 0.24 0.40 0.40
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 12 24 36 48 60 Min: 52.03 / Avg: 53.52 / Max: 54.9 Min: 48.24 / Avg: 48.33 / Max: 48.45 Min: 41.47 / Avg: 41.52 / Max: 41.57 Min: 23.08 / Avg: 23.11 / Max: 23.14 Min: 55.17 / Avg: 55.99 / Max: 57.85 Min: 31.34 / Avg: 31.39 / Max: 31.49 Min: 57.87 / Avg: 58.64 / Max: 60.27 Min: 54.78 / Avg: 54.92 / Max: 55.03 Min: 47.11 / Avg: 47.17 / Max: 47.21 Min: 56.85 / Avg: 56.98 / Max: 57.12 Min: 39.58 / Avg: 39.65 / Max: 39.69 Min: 27.11 / Avg: 27.16 / Max: 27.23 Min: 54 / Avg: 54.07 / Max: 54.14 Min: 59.13 / Avg: 59.59 / Max: 59.95 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.16, N = 3 17.37 16.92 17.75 21.35 16.67 18.10 16.89 16.55 16.20 16.37 17.39 17.44 17.21 17.03 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 17.08 / Avg: 17.37 / Max: 17.52 Min: 16.91 / Avg: 16.92 / Max: 16.93 Min: 17.73 / Avg: 17.75 / Max: 17.77 Min: 21.31 / Avg: 21.35 / Max: 21.39 Min: 16.52 / Avg: 16.67 / Max: 16.78 Min: 18.08 / Avg: 18.1 / Max: 18.11 Min: 16.79 / Avg: 16.89 / Max: 16.96 Min: 16.49 / Avg: 16.55 / Max: 16.65 Min: 16.19 / Avg: 16.2 / Max: 16.23 Min: 16.34 / Avg: 16.37 / Max: 16.39 Min: 17.38 / Avg: 17.39 / Max: 17.4 Min: 17.42 / Avg: 17.43 / Max: 17.46 Min: 17.21 / Avg: 17.21 / Max: 17.22 Min: 16.72 / Avg: 17.03 / Max: 17.24 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Stream This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K SE +/- 31.65, N = 5 SE +/- 5.59, N = 5 SE +/- 8.02, N = 5 SE +/- 9.94, N = 5 SE +/- 15.41, N = 5 SE +/- 7.06, N = 5 SE +/- 13.27, N = 5 SE +/- 14.85, N = 5 SE +/- 330.72, N = 5 SE +/- 5.66, N = 5 SE +/- 2.37, N = 5 SE +/- 52.59, N = 5 SE +/- 10.31, N = 5 90511.8 79677.2 80140.1 52390.0 88717.2 51714.4 90296.5 79342.9 66901.1 79674.1 51093.1 82399.7 90663.2 1. (CC) gcc options: -O3 -march=native -fopenmp
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Stream 2013-01-17 Type: Copy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 200 400 600 800 1000 648.19 902.05 1003.43 854.90 790.62 785.09 678.70 844.44 560.85 873.56 734.63 973.24 762.36
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 16K 32K 48K 64K 80K Min: 90390.8 / Avg: 90511.82 / Max: 90564 Min: 79657.3 / Avg: 79677.16 / Max: 79688.5 Min: 80119.5 / Avg: 80140.14 / Max: 80160.6 Min: 52373.2 / Avg: 52390.04 / Max: 52428 Min: 88676.8 / Avg: 88717.18 / Max: 88755.4 Min: 51688.2 / Avg: 51714.44 / Max: 51726.5 Min: 90262 / Avg: 90296.46 / Max: 90328.8 Min: 79306.1 / Avg: 79342.9 / Max: 79388.7 Min: 65648.8 / Avg: 66901.12 / Max: 67581.9 Min: 79657.3 / Avg: 79674.1 / Max: 79689.4 Min: 51087.4 / Avg: 51093.14 / Max: 51100.2 Min: 82189.9 / Avg: 82399.72 / Max: 82465.6 Min: 90631.3 / Avg: 90663.16 / Max: 90687.7 1. (CC) gcc options: -O3 -march=native -fopenmp
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4K 8K 12K 16K 20K SE +/- 15.75, N = 5 SE +/- 15.81, N = 5 SE +/- 22.89, N = 4 SE +/- 27.38, N = 5 SE +/- 69.28, N = 5 SE +/- 43.06, N = 3 SE +/- 30.70, N = 5 SE +/- 18.07, N = 4 SE +/- 18.04, N = 4 SE +/- 25.61, N = 5 15079.08 15688.57 9844.95 15230.23 14759.40 7779.49 14977.29 9697.83 12350.87 18019.01 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 40 80 120 160 200 103.87 159.36 136.77 107.24 129.34 56.39 137.33 119.50 120.79 137.30
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3K 6K 9K 12K 15K Min: 15027.23 / Avg: 15079.08 / Max: 15122.17 Min: 15654.67 / Avg: 15688.57 / Max: 15744.56 Min: 9819.42 / Avg: 9844.95 / Max: 9913.54 Min: 15146.06 / Avg: 15230.23 / Max: 15316.01 Min: 14524.99 / Avg: 14759.4 / Max: 14889.39 Min: 7733.94 / Avg: 7779.49 / Max: 7865.57 Min: 14873.66 / Avg: 14977.29 / Max: 15062.42 Min: 9644.91 / Avg: 9697.83 / Max: 9725.86 Min: 12309.98 / Avg: 12350.87 / Max: 12395.51 Min: 17953.88 / Avg: 18019.01 / Max: 18084.24 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 12K 24K 36K 48K 60K SE +/- 40.27, N = 5 SE +/- 19.15, N = 4 SE +/- 23.87, N = 3 SE +/- 50.60, N = 5 SE +/- 36.50, N = 5 SE +/- 44.41, N = 3 SE +/- 17.91, N = 5 SE +/- 23.10, N = 4 SE +/- 10.84, N = 4 SE +/- 17.78, N = 5 55136.50 37175.20 21822.06 55668.63 46206.33 22117.17 47098.22 29526.97 27284.69 49235.92 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 100 200 300 400 500 399.60 398.01 297.55 419.28 440.80 153.51 436.08 373.22 260.77 395.37
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 10K 20K 30K 40K 50K Min: 55002.69 / Avg: 55136.5 / Max: 55211.78 Min: 37140.1 / Avg: 37175.2 / Max: 37216.01 Min: 21777.28 / Avg: 21822.06 / Max: 21858.76 Min: 55491.76 / Avg: 55668.63 / Max: 55799.49 Min: 46062.44 / Avg: 46206.33 / Max: 46260.89 Min: 22040.65 / Avg: 22117.17 / Max: 22194.48 Min: 47048.85 / Avg: 47098.22 / Max: 47153.11 Min: 29462.38 / Avg: 29526.97 / Max: 29571 Min: 27272.21 / Avg: 27284.69 / Max: 27317.11 Min: 49168.13 / Avg: 49235.92 / Max: 49272.59 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Compression Effort 5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.012, N = 6 SE +/- 0.009, N = 6 SE +/- 0.020, N = 5 SE +/- 0.032, N = 4 SE +/- 0.013, N = 6 SE +/- 0.018, N = 5 SE +/- 0.009, N = 6 SE +/- 0.027, N = 6 SE +/- 0.012, N = 6 SE +/- 0.015, N = 6 SE +/- 0.012, N = 5 SE +/- 0.031, N = 4 SE +/- 0.010, N = 6 SE +/- 0.006, N = 6 8.125 7.974 9.354 15.547 8.162 11.131 8.052 7.972 7.973 7.949 9.654 12.788 8.055 8.074 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Compression Effort 5 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 8.1 / Avg: 8.13 / Max: 8.17 Min: 7.94 / Avg: 7.97 / Max: 8 Min: 9.31 / Avg: 9.35 / Max: 9.43 Min: 15.46 / Avg: 15.55 / Max: 15.62 Min: 8.12 / Avg: 8.16 / Max: 8.21 Min: 11.09 / Avg: 11.13 / Max: 11.19 Min: 8.04 / Avg: 8.05 / Max: 8.09 Min: 7.91 / Avg: 7.97 / Max: 8.08 Min: 7.94 / Avg: 7.97 / Max: 8.02 Min: 7.92 / Avg: 7.95 / Max: 8.02 Min: 9.63 / Avg: 9.65 / Max: 9.69 Min: 12.74 / Avg: 12.79 / Max: 12.88 Min: 8.01 / Avg: 8.06 / Max: 8.08 Min: 8.05 / Avg: 8.07 / Max: 8.09 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
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.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1000 2000 3000 4000 5000 SE +/- 33.26, N = 5 SE +/- 9.28, N = 5 SE +/- 20.03, N = 5 SE +/- 22.80, N = 5 SE +/- 22.36, N = 5 SE +/- 33.20, N = 5 SE +/- 25.14, N = 5 SE +/- 28.80, N = 5 SE +/- 35.77, N = 5 SE +/- 12.58, N = 5 SE +/- 32.99, N = 5 SE +/- 35.92, N = 5 SE +/- 15.90, N = 5 4407 3993 4138 3894 4218 3971 4457 3912 4085 3886 3881 3724 4303
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 800 1600 2400 3200 4000 Min: 4330 / Avg: 4406.6 / Max: 4494 Min: 3975 / Avg: 3993.2 / Max: 4028 Min: 4074 / Avg: 4138.2 / Max: 4180 Min: 3832 / Avg: 3893.8 / Max: 3948 Min: 4158 / Avg: 4217.6 / Max: 4273 Min: 3886 / Avg: 3970.6 / Max: 4055 Min: 4392 / Avg: 4456.8 / Max: 4536 Min: 3827 / Avg: 3912.2 / Max: 3971 Min: 3969 / Avg: 4084.8 / Max: 4158 Min: 3845 / Avg: 3886.4 / Max: 3916 Min: 3765 / Avg: 3881.4 / Max: 3963 Min: 3653 / Avg: 3723.6 / Max: 3860 Min: 4246 / Avg: 4302.6 / Max: 4341
Sysbench This is a benchmark of Sysbench with CPU and memory sub-tests. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Events Per Second, More Is Better Sysbench 2018-07-28 Test: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K SE +/- 97.15, N = 5 SE +/- 12.89, N = 5 SE +/- 9.93, N = 5 SE +/- 1.09, N = 5 SE +/- 23.00, N = 5 SE +/- 5.53, N = 5 SE +/- 52.65, N = 5 SE +/- 9.32, N = 5 SE +/- 7.33, N = 5 SE +/- 20.39, N = 5 SE +/- 10.65, N = 5 SE +/- 2.64, N = 5 SE +/- 7.32, N = 5 106421.95 42008.11 27632.19 13398.10 80743.89 20091.96 108892.22 56038.72 32649.36 56066.79 26778.62 16323.92 55254.66 1. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm
Events Per Second Per Watt
OpenBenchmarking.org Events Per Second Per Watt, More Is Better Sysbench 2018-07-28 Test: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 200 400 600 800 1000 754.73 539.88 432.15 297.08 733.57 391.60 783.68 638.23 313.31 667.05 474.66 261.75 521.63
Result Confidence
OpenBenchmarking.org Events Per Second, More Is Better Sysbench 2018-07-28 Test: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K Min: 106076.46 / Avg: 106421.95 / Max: 106643.26 Min: 41974.26 / Avg: 42008.11 / Max: 42044 Min: 27594.22 / Avg: 27632.19 / Max: 27651.61 Min: 13395.23 / Avg: 13398.1 / Max: 13400.85 Min: 80668.55 / Avg: 80743.89 / Max: 80805.58 Min: 20074.61 / Avg: 20091.96 / Max: 20104.41 Min: 108721.1 / Avg: 108892.22 / Max: 109052.86 Min: 56017.18 / Avg: 56038.72 / Max: 56065.58 Min: 32621.61 / Avg: 32649.36 / Max: 32663.3 Min: 55989.07 / Avg: 56066.79 / Max: 56109.25 Min: 26746.06 / Avg: 26778.62 / Max: 26804.47 Min: 16316.25 / Avg: 16323.92 / Max: 16331.8 Min: 55238.42 / Avg: 55254.66 / Max: 55276.83 1. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm
Timed MAFFT Alignment This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.027, N = 5 SE +/- 0.027, N = 5 SE +/- 0.004, N = 5 SE +/- 0.035, N = 5 SE +/- 0.033, N = 5 SE +/- 0.023, N = 5 SE +/- 0.024, N = 5 SE +/- 0.030, N = 5 SE +/- 0.037, N = 5 SE +/- 0.014, N = 5 SE +/- 0.028, N = 5 SE +/- 0.030, N = 5 SE +/- 0.021, N = 5 SE +/- 0.037, N = 5 10.097 9.725 9.892 11.112 9.925 10.236 9.989 9.735 8.868 9.602 10.221 8.598 9.938 10.040 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 10.02 / Avg: 10.1 / Max: 10.18 Min: 9.65 / Avg: 9.73 / Max: 9.8 Min: 9.88 / Avg: 9.89 / Max: 9.9 Min: 11.04 / Avg: 11.11 / Max: 11.22 Min: 9.82 / Avg: 9.92 / Max: 10 Min: 10.16 / Avg: 10.24 / Max: 10.3 Min: 9.92 / Avg: 9.99 / Max: 10.06 Min: 9.66 / Avg: 9.74 / Max: 9.84 Min: 8.78 / Avg: 8.87 / Max: 8.95 Min: 9.57 / Avg: 9.6 / Max: 9.64 Min: 10.15 / Avg: 10.22 / Max: 10.32 Min: 8.55 / Avg: 8.6 / Max: 8.69 Min: 9.89 / Avg: 9.94 / Max: 10.01 Min: 9.91 / Avg: 10.04 / Max: 10.12 1. (CC) gcc options: -std=c99 -O3 -lm -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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.27, N = 5 SE +/- 0.03, N = 6 SE +/- 0.17, N = 5 SE +/- 0.07, N = 4 SE +/- 0.20, N = 5 SE +/- 0.11, N = 4 SE +/- 0.32, N = 5 SE +/- 0.25, N = 6 SE +/- 0.21, N = 5 SE +/- 0.18, N = 6 SE +/- 0.09, N = 5 SE +/- 0.03, N = 4 SE +/- 0.17, N = 6 SE +/- 0.16, N = 5 79.82 54.87 37.04 21.76 62.40 30.38 83.40 57.32 42.84 59.94 35.38 26.13 56.53 63.21 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.2003 0.4006 0.6009 0.8012 1.0015 0.83 0.61 0.44 0.33 0.69 0.41 0.89 0.68 0.32 0.68 0.49 0.28 0.56 0.62
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 16 32 48 64 80 Min: 79.13 / Avg: 79.82 / Max: 80.5 Min: 54.76 / Avg: 54.87 / Max: 54.97 Min: 36.48 / Avg: 37.04 / Max: 37.5 Min: 21.59 / Avg: 21.76 / Max: 21.91 Min: 61.9 / Avg: 62.4 / Max: 62.94 Min: 30.14 / Avg: 30.38 / Max: 30.6 Min: 82.2 / Avg: 83.4 / Max: 84.06 Min: 56.32 / Avg: 57.32 / Max: 57.97 Min: 42.28 / Avg: 42.84 / Max: 43.39 Min: 59.31 / Avg: 59.94 / Max: 60.53 Min: 35.07 / Avg: 35.38 / Max: 35.57 Min: 26.07 / Avg: 26.13 / Max: 26.22 Min: 56.08 / Avg: 56.53 / Max: 57.07 Min: 62.71 / Avg: 63.21 / Max: 63.66 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
rays1bench This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 SE +/- 0.20, N = 7 SE +/- 0.04, N = 6 SE +/- 0.08, N = 5 SE +/- 0.08, N = 3 SE +/- 0.08, N = 7 SE +/- 0.04, N = 4 SE +/- 0.21, N = 7 SE +/- 0.06, N = 6 SE +/- 0.10, N = 5 SE +/- 0.03, N = 6 SE +/- 0.06, N = 4 SE +/- 0.01, N = 4 SE +/- 0.06, N = 6 SE +/- 0.11, N = 7 243.57 134.19 90.37 48.61 217.70 68.51 243.25 167.75 109.91 182.59 84.54 59.60 163.00 218.73
mrays/s Per Watt
OpenBenchmarking.org mrays/s Per Watt, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.5378 1.0756 1.6134 2.1512 2.689 2.33 1.34 0.97 0.68 2.24 0.85 2.39 1.81 0.69 1.85 1.09 0.54 1.54 2.04
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 Min: 242.82 / Avg: 243.57 / Max: 244.37 Min: 134.04 / Avg: 134.19 / Max: 134.3 Min: 90.09 / Avg: 90.37 / Max: 90.53 Min: 48.46 / Avg: 48.61 / Max: 48.73 Min: 217.39 / Avg: 217.7 / Max: 217.92 Min: 68.41 / Avg: 68.51 / Max: 68.59 Min: 242.31 / Avg: 243.25 / Max: 243.89 Min: 167.52 / Avg: 167.75 / Max: 167.95 Min: 109.61 / Avg: 109.91 / Max: 110.19 Min: 182.51 / Avg: 182.59 / Max: 182.66 Min: 84.42 / Avg: 84.54 / Max: 84.72 Min: 59.57 / Avg: 59.6 / Max: 59.62 Min: 162.8 / Avg: 163 / Max: 163.17 Min: 218.36 / Avg: 218.73 / Max: 219.13
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3 6 9 12 15 SE +/- 0.006, N = 6 SE +/- 0.009, N = 6 SE +/- 0.005, N = 5 SE +/- 0.005, N = 5 SE +/- 0.003, N = 6 SE +/- 0.002, N = 5 SE +/- 0.002, N = 6 SE +/- 0.002, N = 6 SE +/- 0.005, N = 6 SE +/- 0.005, N = 6 SE +/- 0.007, N = 5 SE +/- 0.002, N = 6 SE +/- 0.003, N = 5 8.095 8.267 8.660 9.756 8.198 9.190 8.132 8.149 7.453 8.038 8.923 8.077 8.357 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3 6 9 12 15 Min: 8.06 / Avg: 8.09 / Max: 8.11 Min: 8.24 / Avg: 8.27 / Max: 8.3 Min: 8.65 / Avg: 8.66 / Max: 8.67 Min: 9.74 / Avg: 9.76 / Max: 9.77 Min: 8.19 / Avg: 8.2 / Max: 8.21 Min: 9.18 / Avg: 9.19 / Max: 9.19 Min: 8.13 / Avg: 8.13 / Max: 8.14 Min: 8.14 / Avg: 8.15 / Max: 8.16 Min: 7.44 / Avg: 7.45 / Max: 7.48 Min: 8.02 / Avg: 8.04 / Max: 8.05 Min: 8.9 / Avg: 8.92 / Max: 8.94 Min: 8.07 / Avg: 8.08 / Max: 8.08 Min: 8.35 / Avg: 8.36 / Max: 8.37 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
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.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.005, N = 5 SE +/- 0.014, N = 5 SE +/- 0.009, N = 5 SE +/- 0.004, N = 5 SE +/- 0.001, N = 5 SE +/- 0.009, N = 5 SE +/- 0.025, N = 5 SE +/- 0.025, N = 5 SE +/- 0.003, N = 6 SE +/- 0.004, N = 5 SE +/- 0.025, N = 5 SE +/- 0.010, N = 6 SE +/- 0.005, N = 5 SE +/- 0.009, N = 5 9.003 9.014 9.151 9.414 9.126 9.419 9.154 9.014 7.739 8.861 9.481 7.745 9.140 9.145 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 8.99 / Avg: 9 / Max: 9.02 Min: 8.99 / Avg: 9.01 / Max: 9.06 Min: 9.12 / Avg: 9.15 / Max: 9.17 Min: 9.4 / Avg: 9.41 / Max: 9.42 Min: 9.12 / Avg: 9.13 / Max: 9.13 Min: 9.41 / Avg: 9.42 / Max: 9.46 Min: 9.12 / Avg: 9.15 / Max: 9.25 Min: 8.98 / Avg: 9.01 / Max: 9.12 Min: 7.73 / Avg: 7.74 / Max: 7.75 Min: 8.85 / Avg: 8.86 / Max: 8.87 Min: 9.43 / Avg: 9.48 / Max: 9.58 Min: 7.72 / Avg: 7.74 / Max: 7.79 Min: 9.13 / Avg: 9.14 / Max: 9.15 Min: 9.13 / Avg: 9.14 / Max: 9.17 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.4004 0.8008 1.2012 1.6016 2.002 SE +/- 0.001522, N = 5 SE +/- 0.003852, N = 5 SE +/- 0.001293, N = 5 SE +/- 0.002555, N = 5 SE +/- 0.005510, N = 5 SE +/- 0.003339, N = 5 SE +/- 0.000841, N = 5 SE +/- 0.001432, N = 5 SE +/- 0.002832, N = 5 SE +/- 0.003216, N = 5 SE +/- 0.003097, N = 5 SE +/- 0.006135, N = 5 SE +/- 0.002578, N = 5 SE +/- 0.002582, N = 5 1.162730 0.711317 0.601288 1.779470 1.132370 1.038950 1.146010 0.990316 0.489983 1.000426 0.816826 0.798217 0.641197 0.813280 MIN: 1.1 MIN: 0.66 MIN: 0.56 MIN: 1.6 MIN: 1.07 MIN: 0.95 MIN: 1.09 MIN: 0.95 MIN: 0.45 MIN: 0.94 MIN: 0.74 MIN: 0.75 MIN: 0.58 MIN: 0.76 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 1.16 / Avg: 1.16 / Max: 1.17 Min: 0.7 / Avg: 0.71 / Max: 0.72 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 1.78 / Avg: 1.78 / Max: 1.79 Min: 1.11 / Avg: 1.13 / Max: 1.14 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 1.14 / Avg: 1.15 / Max: 1.15 Min: 0.99 / Avg: 0.99 / Max: 1 Min: 0.48 / Avg: 0.49 / Max: 0.5 Min: 0.99 / Avg: 1 / Max: 1.01 Min: 0.81 / Avg: 0.82 / Max: 0.83 Min: 0.79 / Avg: 0.8 / Max: 0.82 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.81 / Avg: 0.81 / Max: 0.82 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1000 2000 3000 4000 5000 SE +/- 47.69, N = 5 SE +/- 13.74, N = 5 SE +/- 38.29, N = 5 SE +/- 29.37, N = 5 SE +/- 34.34, N = 5 SE +/- 22.48, N = 6 SE +/- 39.23, N = 5 SE +/- 22.77, N = 5 SE +/- 31.15, N = 7 SE +/- 15.11, N = 5 SE +/- 31.79, N = 5 SE +/- 31.43, N = 6 SE +/- 44.06, N = 5 4686 3778 3633 3793 4463 3552 4773 3917 3323 3861 3671 3316 4026
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 800 1600 2400 3200 4000 Min: 4536 / Avg: 4686 / Max: 4799 Min: 3743 / Avg: 3778.2 / Max: 3810 Min: 3534 / Avg: 3633.2 / Max: 3722 Min: 3701 / Avg: 3792.8 / Max: 3886 Min: 4370 / Avg: 4463.2 / Max: 4566 Min: 3511 / Avg: 3551.67 / Max: 3657 Min: 4691 / Avg: 4773.4 / Max: 4896 Min: 3832 / Avg: 3917.4 / Max: 3957 Min: 3208 / Avg: 3323.43 / Max: 3442 Min: 3817 / Avg: 3860.6 / Max: 3906 Min: 3564 / Avg: 3671.2 / Max: 3763 Min: 3220 / Avg: 3315.5 / Max: 3444 Min: 3901 / Avg: 4025.6 / Max: 4157
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.00630, N = 5 SE +/- 0.01609, N = 5 SE +/- 0.00471, N = 5 SE +/- 0.01715, N = 5 SE +/- 0.00795, N = 5 SE +/- 0.00853, N = 5 SE +/- 0.01221, N = 5 SE +/- 0.00256, N = 5 SE +/- 0.01324, N = 5 SE +/- 0.00208, N = 5 SE +/- 0.00189, N = 5 SE +/- 0.00869, N = 5 SE +/- 0.00475, N = 5 SE +/- 0.01041, N = 5 1.15943 4.13382 3.76395 7.15030 2.28611 4.97512 1.12502 2.96283 2.77826 2.95830 4.47287 6.68209 1.25154 1.22011 MIN: 3.91 MIN: 3.68 MIN: 6.45 MIN: 2.2 MIN: 4.75 MIN: 2.89 MIN: 2.68 MIN: 2.88 MIN: 4.3 MIN: 6.52 MIN: 1.2 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 1.14 / Avg: 1.16 / Max: 1.17 Min: 4.08 / Avg: 4.13 / Max: 4.18 Min: 3.75 / Avg: 3.76 / Max: 3.78 Min: 7.11 / Avg: 7.15 / Max: 7.19 Min: 2.26 / Avg: 2.29 / Max: 2.3 Min: 4.94 / Avg: 4.98 / Max: 4.99 Min: 1.1 / Avg: 1.13 / Max: 1.17 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.75 / Avg: 2.78 / Max: 2.83 Min: 2.95 / Avg: 2.96 / Max: 2.97 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 6.66 / Avg: 6.68 / Max: 6.71 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.19 / Avg: 1.22 / Max: 1.25 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 20 40 60 80 100 SE +/- 0.00, N = 7 SE +/- 0.00, N = 6 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 7 SE +/- 0.00, N = 4 SE +/- 0.00, N = 7 SE +/- 0.18, N = 5 SE +/- 0.49, N = 6 SE +/- 0.00, N = 5 SE +/- 0.00, N = 4 SE +/- 0.00, N = 6 SE +/- 0.00, N = 7 76.92 41.67 29.41 14.29 66.67 21.74 76.92 50.00 29.59 55.07 27.78 17.24 47.62 66.67 MIN: 71.43 / MAX: 83.33 MIN: 38.46 / MAX: 43.48 MIN: 27.78 MIN: 13.89 / MAX: 14.49 MIN: 58.82 / MAX: 71.43 MIN: 20.83 / MAX: 22.22 MIN: 62.5 / MAX: 83.33 MIN: 45.45 / MAX: 52.63 MIN: 27.78 / MAX: 31.25 MIN: 50 / MAX: 55.56 MIN: 26.32 MIN: 16.67 / MAX: 17.86 MIN: 45.45 / MAX: 50 MIN: 62.5 / MAX: 71.43
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.1755 0.351 0.5265 0.702 0.8775 0.76 0.44 0.34 0.22 0.71 0.29 0.78 0.57 0.21 0.59 0.38 0.18 0.47 0.65
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 15 30 45 60 75 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 41.67 / Avg: 41.67 / Max: 41.67 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 21.74 / Avg: 21.74 / Max: 21.74 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 29.41 / Avg: 29.59 / Max: 30.3 Min: 52.63 / Avg: 55.07 / Max: 55.56 Min: 27.78 / Avg: 27.78 / Max: 27.78 Min: 17.24 / Avg: 17.24 / Max: 17.24 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 66.67 / Avg: 66.67 / Max: 66.67
JPEG XL The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 SE +/- 3.47, N = 3 SE +/- 1.22, N = 3 SE +/- 0.72, N = 3 SE +/- 0.34, N = 3 SE +/- 2.26, N = 3 SE +/- 1.45, N = 3 SE +/- 2.82, N = 3 SE +/- 0.95, N = 3 SE +/- 1.86, N = 3 SE +/- 0.52, N = 3 SE +/- 0.66, N = 3 SE +/- 0.38, N = 3 SE +/- 2.20, N = 3 SE +/- 0.45, N = 3 983.61 839.06 698.08 473.82 1095.40 624.79 1158.08 937.73 671.07 939.90 712.26 496.11 892.42 1116.83 MIN: 616.84 / MAX: 1260.07 MIN: 646.27 / MAX: 1067.76 MIN: 539.13 / MAX: 873.36 MIN: 365.77 / MAX: 674.59 MIN: 671.87 / MAX: 1406.03 MIN: 483.27 / MAX: 784.91 MIN: 644.06 / MAX: 1489.95 MIN: 687.68 / MAX: 1200.87 MIN: 524.48 / MAX: 829.64 MIN: 689.36 / MAX: 1207.51 MIN: 546.18 / MAX: 898.36 MIN: 390.79 / MAX: 704.31 MIN: 641.23 / MAX: 1144.96 MIN: 672.49 / MAX: 1434.66 1. (CC) gcc options: -pthread
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 12.64 14.96 12.61 10.24 16.67 13.08 15.25 16.80 8.07 17.37 15.03 7.83 11.84 15.55
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 977.12 / Avg: 983.61 / Max: 988.98 Min: 837.5 / Avg: 839.06 / Max: 841.47 Min: 697.03 / Avg: 698.08 / Max: 699.47 Min: 473.15 / Avg: 473.82 / Max: 474.25 Min: 1091.59 / Avg: 1095.4 / Max: 1099.4 Min: 622.12 / Avg: 624.79 / Max: 627.09 Min: 1153.84 / Avg: 1158.08 / Max: 1163.42 Min: 935.96 / Avg: 937.73 / Max: 939.19 Min: 667.49 / Avg: 671.07 / Max: 673.75 Min: 938.86 / Avg: 939.9 / Max: 940.47 Min: 711 / Avg: 712.26 / Max: 713.24 Min: 495.72 / Avg: 496.11 / Max: 496.87 Min: 888.17 / Avg: 892.42 / Max: 895.56 Min: 1116.14 / Avg: 1116.83 / Max: 1117.68 1. (CC) gcc options: -pthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3 6 9 12 15 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.00, N = 5 SE +/- 0.01, N = 6 SE +/- 0.00, N = 5 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.02, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 6 6.68 7.47 8.30 5.82 6.93 9.38 6.78 7.17 7.10 7.02 8.63 9.04 7.33 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3 6 9 12 15 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 7.43 / Avg: 7.47 / Max: 7.49 Min: 8.25 / Avg: 8.3 / Max: 8.34 Min: 5.81 / Avg: 5.82 / Max: 5.83 Min: 6.89 / Avg: 6.93 / Max: 6.96 Min: 9.37 / Avg: 9.38 / Max: 9.39 Min: 6.76 / Avg: 6.78 / Max: 6.8 Min: 7.15 / Avg: 7.17 / Max: 7.18 Min: 7.07 / Avg: 7.1 / Max: 7.13 Min: 7.01 / Avg: 7.02 / Max: 7.04 Min: 8.59 / Avg: 8.63 / Max: 8.68 Min: 9.02 / Avg: 9.04 / Max: 9.06 Min: 7.31 / Avg: 7.33 / Max: 7.35 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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.00551, N = 7 SE +/- 0.00525, N = 7 SE +/- 0.00742, N = 7 SE +/- 0.04608, N = 7 SE +/- 0.00723, N = 7 SE +/- 0.00984, N = 7 SE +/- 0.01107, N = 7 SE +/- 0.01750, N = 7 SE +/- 0.03514, N = 7 SE +/- 0.00813, N = 7 SE +/- 0.03193, N = 7 SE +/- 0.04127, N = 7 SE +/- 0.01167, N = 7 SE +/- 0.00965, N = 7 3.55892 4.25111 5.45400 10.95820 3.84018 7.60505 3.50412 3.97043 6.91561 3.97699 6.76242 9.15124 3.61268 3.54316 MIN: 3.47 MIN: 4.06 MIN: 5.12 MIN: 10.24 MIN: 3.75 MIN: 7.15 MIN: 3.39 MIN: 3.86 MIN: 6.67 MIN: 3.87 MIN: 6.41 MIN: 8.56 MIN: 3.49 MIN: 3.43 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 3.54 / Avg: 3.56 / Max: 3.58 Min: 4.23 / Avg: 4.25 / Max: 4.27 Min: 5.41 / Avg: 5.45 / Max: 5.47 Min: 10.75 / Avg: 10.96 / Max: 11.12 Min: 3.81 / Avg: 3.84 / Max: 3.86 Min: 7.56 / Avg: 7.61 / Max: 7.64 Min: 3.47 / Avg: 3.5 / Max: 3.54 Min: 3.92 / Avg: 3.97 / Max: 4.03 Min: 6.79 / Avg: 6.92 / Max: 7.05 Min: 3.94 / Avg: 3.98 / Max: 4 Min: 6.64 / Avg: 6.76 / Max: 6.85 Min: 9.06 / Avg: 9.15 / Max: 9.39 Min: 3.55 / Avg: 3.61 / Max: 3.64 Min: 3.52 / Avg: 3.54 / Max: 3.59 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.029, N = 6 SE +/- 0.041, N = 6 SE +/- 0.018, N = 6 SE +/- 0.047, N = 4 SE +/- 0.025, N = 6 SE +/- 0.043, N = 5 SE +/- 0.038, N = 6 SE +/- 0.020, N = 6 SE +/- 0.016, N = 6 SE +/- 0.016, N = 6 SE +/- 0.033, N = 6 SE +/- 0.034, N = 5 SE +/- 0.044, N = 6 SE +/- 0.036, N = 6 6.930 7.121 7.645 11.912 7.033 8.798 6.971 6.989 6.586 6.900 8.105 9.790 7.220 7.063
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 6.86 / Avg: 6.93 / Max: 7.04 Min: 6.99 / Avg: 7.12 / Max: 7.23 Min: 7.59 / Avg: 7.65 / Max: 7.7 Min: 11.83 / Avg: 11.91 / Max: 12.03 Min: 6.95 / Avg: 7.03 / Max: 7.12 Min: 8.7 / Avg: 8.8 / Max: 8.93 Min: 6.85 / Avg: 6.97 / Max: 7.12 Min: 6.93 / Avg: 6.99 / Max: 7.06 Min: 6.53 / Avg: 6.59 / Max: 6.62 Min: 6.84 / Avg: 6.9 / Max: 6.95 Min: 8 / Avg: 8.1 / Max: 8.23 Min: 9.66 / Avg: 9.79 / Max: 9.84 Min: 7.06 / Avg: 7.22 / Max: 7.34 Min: 6.98 / Avg: 7.06 / Max: 7.22
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.002719, N = 7 SE +/- 0.005689, N = 7 SE +/- 0.006442, N = 7 SE +/- 0.004801, N = 7 SE +/- 0.003838, N = 7 SE +/- 0.005350, N = 7 SE +/- 0.002146, N = 7 SE +/- 0.008223, N = 7 SE +/- 0.002179, N = 7 SE +/- 0.011195, N = 7 SE +/- 0.008434, N = 7 SE +/- 0.007190, N = 7 SE +/- 0.001701, N = 7 SE +/- 0.002747, N = 7 1.078440 3.543470 3.706400 6.376680 1.719670 5.953480 0.993732 3.462360 2.001830 3.461740 5.864580 4.301300 1.483740 1.108050 MIN: 3.47 MIN: 3.6 MIN: 6.27 MIN: 1.63 MIN: 5.82 MIN: 3.38 MIN: 1.91 MIN: 3.38 MIN: 5.63 MIN: 4.22 MIN: 1.28 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 1.07 / Avg: 1.08 / Max: 1.09 Min: 3.52 / Avg: 3.54 / Max: 3.56 Min: 3.67 / Avg: 3.71 / Max: 3.73 Min: 6.36 / Avg: 6.38 / Max: 6.4 Min: 1.7 / Avg: 1.72 / Max: 1.73 Min: 5.94 / Avg: 5.95 / Max: 5.98 Min: 0.99 / Avg: 0.99 / Max: 1 Min: 3.43 / Avg: 3.46 / Max: 3.5 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 3.44 / Avg: 3.46 / Max: 3.53 Min: 5.83 / Avg: 5.86 / Max: 5.9 Min: 4.26 / Avg: 4.3 / Max: 4.32 Min: 1.47 / Avg: 1.48 / Max: 1.49 Min: 1.1 / Avg: 1.11 / Max: 1.12 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 SE +/- 0.04, N = 7 SE +/- 0.44, N = 7 SE +/- 0.04, N = 7 SE +/- 0.03, N = 7 SE +/- 0.02, N = 7 SE +/- 0.26, N = 7 SE +/- 0.04, N = 7 SE +/- 0.05, N = 7 SE +/- 0.04, N = 7 SE +/- 0.07, N = 7 SE +/- 0.10, N = 7 SE +/- 0.02, N = 7 SE +/- 0.07, N = 7 SE +/- 0.03, N = 7 169.54 169.70 167.63 162.56 167.61 162.37 167.62 170.11 197.79 172.55 162.07 197.77 167.52 167.57 1. (CC) gcc options: -O3 -rdynamic
Megapixels/sec Per Watt
OpenBenchmarking.org Megapixels/sec Per Watt, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.0148 2.0296 3.0444 4.0592 5.074 2.78 3.95 3.87 4.51 3.31 4.45 2.80 3.96 3.16 4.03 4.30 4.25 2.85 2.88
Result Confidence
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 Min: 169.39 / Avg: 169.54 / Max: 169.69 Min: 167.04 / Avg: 169.7 / Max: 170.26 Min: 167.45 / Avg: 167.63 / Max: 167.79 Min: 162.5 / Avg: 162.56 / Max: 162.7 Min: 167.49 / Avg: 167.61 / Max: 167.66 Min: 160.82 / Avg: 162.37 / Max: 162.74 Min: 167.5 / Avg: 167.62 / Max: 167.77 Min: 169.86 / Avg: 170.11 / Max: 170.26 Min: 197.62 / Avg: 197.79 / Max: 197.87 Min: 172.16 / Avg: 172.55 / Max: 172.69 Min: 161.84 / Avg: 162.07 / Max: 162.46 Min: 197.66 / Avg: 197.77 / Max: 197.86 Min: 167.15 / Avg: 167.52 / Max: 167.68 Min: 167.44 / Avg: 167.57 / Max: 167.69 1. (CC) gcc options: -O3 -rdynamic
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 11K 22K 33K 44K 55K SE +/- 126.64, N = 6 SE +/- 343.41, N = 6 SE +/- 385.00, N = 7 SE +/- 369.07, N = 6 SE +/- 152.42, N = 6 SE +/- 304.76, N = 6 SE +/- 399.17, N = 6 SE +/- 288.40, N = 6 SE +/- 131.48, N = 6 SE +/- 307.98, N = 6 SE +/- 244.70, N = 6 SE +/- 204.79, N = 6 SE +/- 312.60, N = 6 SE +/- 392.71, N = 6 44328 43414 42761 41704 43404 41912 42730 43903 50969 43936 42375 50675 43275 42836 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 696.81 988.44 963.62 1123.76 820.23 1109.61 683.14 984.98 775.34 1000.27 1101.31 1037.75 709.62 736.70
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 9K 18K 27K 36K 45K Min: 43820 / Avg: 44328.17 / Max: 44688 Min: 42288 / Avg: 43414 / Max: 44416 Min: 40864 / Avg: 42761.14 / Max: 44031 Min: 40672 / Avg: 41703.5 / Max: 42890 Min: 42872 / Avg: 43404.33 / Max: 43831 Min: 40544 / Avg: 41912 / Max: 42672 Min: 40860 / Avg: 42729.67 / Max: 43619 Min: 42938 / Avg: 43902.83 / Max: 44700 Min: 50577 / Avg: 50968.83 / Max: 51456 Min: 43041 / Avg: 43936.17 / Max: 44903 Min: 41289 / Avg: 42374.5 / Max: 42923 Min: 49987 / Avg: 50674.5 / Max: 51435 Min: 41954 / Avg: 43274.83 / Max: 44008 Min: 41412 / Avg: 42836.17 / Max: 44004 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
ECP-CANDLE The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P1B2 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 43.16 41.33 41.15 44.49 41.91 43.38 42.35 41.04 40.55 40.89 42.78 36.98 41.52 41.85
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 4K EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 SE +/- 0.34, N = 3 SE +/- 0.61, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.66, N = 3 SE +/- 0.16, N = 3 SE +/- 0.74, N = 3 SE +/- 0.16, N = 3 SE +/- 0.46, N = 3 SE +/- 0.75, N = 3 SE +/- 0.22, N = 3 SE +/- 0.27, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 3 437.31 328.54 245.60 150.43 406.93 203.40 457.27 361.72 244.17 367.19 239.84 168.17 349.99 416.96 MIN: 217.67 / MAX: 473.18 MIN: 249.05 / MAX: 376.65 MIN: 210.68 / MAX: 281.84 MIN: 141.09 / MAX: 170.16 MIN: 257.69 / MAX: 456.39 MIN: 187.66 / MAX: 232.21 MIN: 225.33 / MAX: 494.73 MIN: 287.95 / MAX: 416.23 MIN: 200.55 / MAX: 270.42 MIN: 288.65 / MAX: 424.55 MIN: 211 / MAX: 275.93 MIN: 157.91 / MAX: 191.26 MIN: 266.02 / MAX: 399.72 MIN: 251.44 / MAX: 465 1. (CC) gcc options: -pthread
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.8.1 Video Input: Summer Nature 4K EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.107 2.214 3.321 4.428 5.535 4.45 4.14 3.32 2.51 4.65 3.13 4.92 4.62 2.06 4.91 3.73 2.00 3.54 4.61
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 4K EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 Min: 436.66 / Avg: 437.31 / Max: 437.79 Min: 327.42 / Avg: 328.54 / Max: 329.53 Min: 245.22 / Avg: 245.6 / Max: 246 Min: 150.28 / Avg: 150.43 / Max: 150.7 Min: 405.7 / Avg: 406.93 / Max: 407.97 Min: 203.1 / Avg: 203.4 / Max: 203.66 Min: 455.84 / Avg: 457.27 / Max: 458.3 Min: 361.4 / Avg: 361.72 / Max: 361.91 Min: 243.51 / Avg: 244.17 / Max: 245.05 Min: 365.83 / Avg: 367.19 / Max: 368.43 Min: 239.57 / Avg: 239.84 / Max: 240.27 Min: 167.67 / Avg: 168.17 / Max: 168.6 Min: 349.42 / Avg: 349.99 / Max: 350.39 Min: 416.77 / Avg: 416.96 / Max: 417.29 1. (CC) gcc options: -pthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 2 4 6 8 10 SE +/- 0.01, N = 7 SE +/- 0.00, N = 7 SE +/- 0.01, N = 6 SE +/- 0.01, N = 6 SE +/- 0.01, N = 7 SE +/- 0.01, N = 6 SE +/- 0.00, N = 7 SE +/- 0.01, N = 7 SE +/- 0.01, N = 7 SE +/- 0.01, N = 7 SE +/- 0.00, N = 6 SE +/- 0.01, N = 7 SE +/- 0.01, N = 7 5.76 6.06 6.47 7.65 5.89 6.97 5.83 5.93 5.51 5.83 6.68 6.28 6.05 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 3 6 9 12 15 Min: 5.75 / Avg: 5.76 / Max: 5.8 Min: 6.04 / Avg: 6.06 / Max: 6.07 Min: 6.45 / Avg: 6.47 / Max: 6.5 Min: 7.6 / Avg: 7.65 / Max: 7.69 Min: 5.87 / Avg: 5.89 / Max: 5.91 Min: 6.93 / Avg: 6.97 / Max: 7.01 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 5.92 / Avg: 5.93 / Max: 5.96 Min: 5.49 / Avg: 5.51 / Max: 5.54 Min: 5.81 / Avg: 5.83 / Max: 5.86 Min: 6.66 / Avg: 6.68 / Max: 6.69 Min: 6.24 / Avg: 6.28 / Max: 6.31 Min: 6.01 / Avg: 6.05 / Max: 6.07 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 SE +/- 0.00214, N = 8 SE +/- 0.01885, N = 7 SE +/- 0.03030, N = 6 SE +/- 0.01019, N = 4 SE +/- 0.00349, N = 8 SE +/- 0.06509, N = 5 SE +/- 0.00245, N = 8 SE +/- 0.00220, N = 8 SE +/- 0.05079, N = 6 SE +/- 0.00749, N = 8 SE +/- 0.04707, N = 6 SE +/- 0.08977, N = 4 SE +/- 0.00562, N = 7 SE +/- 0.00169, N = 8 4.46261 5.27499 7.46871 13.92660 4.36372 9.81098 4.32609 4.69550 6.56276 4.54904 7.40074 12.41410 4.84256 4.36145 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 Min: 4.46 / Avg: 4.46 / Max: 4.47 Min: 5.21 / Avg: 5.27 / Max: 5.33 Min: 7.35 / Avg: 7.47 / Max: 7.56 Min: 13.91 / Avg: 13.93 / Max: 13.96 Min: 4.35 / Avg: 4.36 / Max: 4.38 Min: 9.7 / Avg: 9.81 / Max: 10.01 Min: 4.32 / Avg: 4.33 / Max: 4.34 Min: 4.68 / Avg: 4.7 / Max: 4.7 Min: 6.4 / Avg: 6.56 / Max: 6.75 Min: 4.51 / Avg: 4.55 / Max: 4.57 Min: 7.21 / Avg: 7.4 / Max: 7.56 Min: 12.18 / Avg: 12.41 / Max: 12.6 Min: 4.83 / Avg: 4.84 / Max: 4.87 Min: 4.35 / Avg: 4.36 / Max: 4.37 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
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.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1200 2400 3600 4800 6000 SE +/- 22.61, N = 6 SE +/- 17.40, N = 6 SE +/- 20.02, N = 6 SE +/- 49.86, N = 6 SE +/- 9.85, N = 6 SE +/- 17.45, N = 6 SE +/- 12.22, N = 6 SE +/- 12.59, N = 6 SE +/- 11.37, N = 7 SE +/- 17.79, N = 6 SE +/- 22.94, N = 6 SE +/- 22.07, N = 7 SE +/- 21.30, N = 6 5012 5053 5145 5580 5112 5353 5021 4916 4375 4935 5280 4544 5070
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 1000 2000 3000 4000 5000 Min: 4957 / Avg: 5011.67 / Max: 5119 Min: 5000 / Avg: 5053.33 / Max: 5104 Min: 5069 / Avg: 5145.33 / Max: 5205 Min: 5502 / Avg: 5579.5 / Max: 5827 Min: 5077 / Avg: 5112 / Max: 5138 Min: 5275 / Avg: 5352.5 / Max: 5392 Min: 4981 / Avg: 5020.83 / Max: 5072 Min: 4883 / Avg: 4916 / Max: 4959 Min: 4328 / Avg: 4374.57 / Max: 4420 Min: 4891 / Avg: 4934.83 / Max: 4996 Min: 5219 / Avg: 5279.5 / Max: 5358 Min: 4475 / Avg: 4544.29 / Max: 4659 Min: 5014 / Avg: 5070.17 / Max: 5141
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 SE +/- 4.45, N = 15 SE +/- 5.48, N = 15 SE +/- 2.50, N = 15 SE +/- 0.51, N = 7 SE +/- 6.16, N = 15 SE +/- 1.04, N = 9 SE +/- 5.77, N = 15 SE +/- 5.89, N = 15 SE +/- 2.97, N = 15 SE +/- 6.75, N = 15 SE +/- 1.82, N = 15 SE +/- 0.53, N = 7 SE +/- 5.85, N = 15 SE +/- 6.69, N = 15 305.10 319.05 242.24 107.11 336.24 184.83 332.56 334.18 230.31 350.63 229.82 124.35 325.84 346.63 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 1.1565 2.313 3.4695 4.626 5.7825 3.67 4.59 3.55 1.90 4.48 3.02 4.04 5.00 2.19 5.14 3.89 1.67 4.00 4.11
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 60 120 180 240 300 Min: 248.76 / Avg: 305.1 / Max: 317.63 Min: 242.72 / Avg: 319.05 / Max: 326.26 Min: 207.33 / Avg: 242.24 / Max: 245.7 Min: 104.11 / Avg: 107.11 / Max: 107.86 Min: 250.31 / Avg: 336.24 / Max: 345.82 Min: 176.68 / Avg: 184.83 / Max: 187.03 Min: 253.16 / Avg: 332.56 / Max: 350.88 Min: 252.42 / Avg: 334.18 / Max: 348.23 Min: 188.8 / Avg: 230.31 / Max: 234.56 Min: 256.63 / Avg: 350.63 / Max: 362.54 Min: 204.43 / Avg: 229.82 / Max: 232.47 Min: 121.26 / Avg: 124.35 / Max: 125.39 Min: 244.6 / Avg: 325.84 / Max: 336.51 Min: 253.27 / Avg: 346.63 / Max: 357.36 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4 8 12 16 20 SE +/- 0.001, N = 10 SE +/- 0.001, N = 7 SE +/- 0.000, N = 5 SE +/- 0.001, N = 3 SE +/- 0.001, N = 9 SE +/- 0.000, N = 4 SE +/- 0.001, N = 10 SE +/- 0.001, N = 8 SE +/- 0.000, N = 6 SE +/- 0.000, N = 8 SE +/- 0.004, N = 5 SE +/- 0.000, N = 4 SE +/- 0.001, N = 8 2.802 5.645 8.449 17.421 3.352 11.618 2.787 4.599 7.152 4.273 8.785 14.298 4.710 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 4 8 12 16 20 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 5.64 / Avg: 5.65 / Max: 5.65 Min: 8.45 / Avg: 8.45 / Max: 8.45 Min: 17.42 / Avg: 17.42 / Max: 17.42 Min: 3.35 / Avg: 3.35 / Max: 3.36 Min: 11.62 / Avg: 11.62 / Max: 11.62 Min: 2.78 / Avg: 2.79 / Max: 2.79 Min: 4.6 / Avg: 4.6 / Max: 4.6 Min: 7.15 / Avg: 7.15 / Max: 7.15 Min: 4.27 / Avg: 4.27 / Max: 4.27 Min: 8.78 / Avg: 8.79 / Max: 8.8 Min: 14.3 / Avg: 14.3 / Max: 14.3 Min: 4.71 / Avg: 4.71 / Max: 4.71 1. (CC) gcc options: -static -fopenmp -O3 -march=native
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 SE +/- 0.00885, N = 9 SE +/- 0.01244, N = 7 SE +/- 0.00686, N = 6 SE +/- 0.02902, N = 4 SE +/- 0.01129, N = 9 SE +/- 0.01455, N = 5 SE +/- 0.01113, N = 9 SE +/- 0.00918, N = 9 SE +/- 0.01335, N = 7 SE +/- 0.00498, N = 9 SE +/- 0.01670, N = 7 SE +/- 0.02852, N = 5 SE +/- 0.00744, N = 8 SE +/- 0.06689, N = 15 2.88175 5.71426 6.36513 11.96540 3.31262 9.83106 2.80142 3.56555 5.84607 3.47096 6.21815 10.90090 3.70234 3.19889 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 5.67 / Avg: 5.71 / Max: 5.76 Min: 6.35 / Avg: 6.37 / Max: 6.39 Min: 11.89 / Avg: 11.97 / Max: 12.03 Min: 3.27 / Avg: 3.31 / Max: 3.37 Min: 9.79 / Avg: 9.83 / Max: 9.88 Min: 2.77 / Avg: 2.8 / Max: 2.88 Min: 3.5 / Avg: 3.57 / Max: 3.61 Min: 5.8 / Avg: 5.85 / Max: 5.89 Min: 3.44 / Avg: 3.47 / Max: 3.49 Min: 6.17 / Avg: 6.22 / Max: 6.29 Min: 10.84 / Avg: 10.9 / Max: 11 Min: 3.66 / Avg: 3.7 / Max: 3.73 Min: 2.55 / Avg: 3.2 / Max: 3.35 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 900 1800 2700 3600 4500 SE +/- 13.78, N = 10 SE +/- 1.48, N = 7 SE +/- 0.45, N = 6 SE +/- 0.60, N = 4 SE +/- 9.01, N = 9 SE +/- 0.17, N = 5 SE +/- 10.02, N = 10 SE +/- 3.24, N = 8 SE +/- 0.69, N = 6 SE +/- 4.60, N = 8 SE +/- 0.78, N = 6 SE +/- 0.27, N = 4 SE +/- 5.08, N = 8 SE +/- 6.29, N = 9 3908.23 1806.54 1191.90 578.12 3252.13 867.81 3967.28 2368.69 1407.62 2375.48 1155.88 704.69 2318.44 3310.34 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10 20 30 40 50 41.11 21.02 16.06 10.52 36.28 13.77 42.58 27.29 11.81 28.10 17.46 9.02 22.61 32.45
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 700 1400 2100 2800 3500 Min: 3840.34 / Avg: 3908.23 / Max: 3966.84 Min: 1799.65 / Avg: 1806.54 / Max: 1812.17 Min: 1190.44 / Avg: 1191.9 / Max: 1193.16 Min: 576.33 / Avg: 578.12 / Max: 578.84 Min: 3210.93 / Avg: 3252.13 / Max: 3290.8 Min: 867.17 / Avg: 867.81 / Max: 868.12 Min: 3922.41 / Avg: 3967.28 / Max: 4021.83 Min: 2349.79 / Avg: 2368.69 / Max: 2379.63 Min: 1404.92 / Avg: 1407.62 / Max: 1409.44 Min: 2361.46 / Avg: 2375.48 / Max: 2394.12 Min: 1152.71 / Avg: 1155.88 / Max: 1157.48 Min: 703.93 / Avg: 704.69 / Max: 705.19 Min: 2296.55 / Avg: 2318.44 / Max: 2338.82 Min: 3286.05 / Avg: 3310.34 / Max: 3336.05 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 50 100 150 200 250 SE +/- 1.78, N = 15 SE +/- 0.75, N = 9 SE +/- 0.59, N = 8 SE +/- 0.37, N = 6 SE +/- 1.18, N = 15 SE +/- 0.60, N = 7 SE +/- 1.83, N = 15 SE +/- 1.00, N = 9 SE +/- 0.76, N = 9 SE +/- 0.83, N = 9 SE +/- 0.71, N = 8 SE +/- 0.33, N = 7 SE +/- 0.75, N = 9 SE +/- 1.24, N = 15 198.58 174.63 150.45 78.21 198.00 117.14 210.69 182.42 173.50 188.45 142.37 95.50 181.15 203.74 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.5355 1.071 1.6065 2.142 2.6775 2.06 2.12 2.01 1.31 2.30 1.74 2.22 2.32 1.47 2.38 2.16 1.14 1.93 2.08
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 40 80 120 160 200 Min: 179.11 / Avg: 198.58 / Max: 206.01 Min: 169.05 / Avg: 174.63 / Max: 176.72 Min: 146.52 / Avg: 150.45 / Max: 151.9 Min: 76.63 / Avg: 78.21 / Max: 79.16 Min: 182.68 / Avg: 198 / Max: 201.65 Min: 113.91 / Avg: 117.14 / Max: 119.03 Min: 187.36 / Avg: 210.69 / Max: 218.31 Min: 175.43 / Avg: 182.42 / Max: 186.12 Min: 167.66 / Avg: 173.5 / Max: 175.1 Min: 183.08 / Avg: 188.45 / Max: 190.79 Min: 137.77 / Avg: 142.37 / Max: 143.62 Min: 94.18 / Avg: 95.5 / Max: 96.44 Min: 175.43 / Avg: 181.15 / Max: 183.15 Min: 187.17 / Avg: 203.74 / Max: 207.43 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 11K 22K 33K 44K 55K SE +/- 224.56, N = 8 SE +/- 17.34, N = 8 SE +/- 37.32, N = 7 SE +/- 122.43, N = 8 SE +/- 76.06, N = 8 SE +/- 80.46, N = 5 SE +/- 86.13, N = 8 SE +/- 23.57, N = 6 SE +/- 20.16, N = 8 SE +/- 218.93, N = 8 51795.61 47349.29 30311.94 52245.23 44082.95 21714.65 44205.80 29776.81 45336.89 52022.76 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Total Mop/s Per Watt
OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 140 280 420 560 700 476.11 660.02 525.61 490.40 538.87 197.31 555.62 463.71 592.89 520.26
Result Confidence
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 9K 18K 27K 36K 45K Min: 50825.97 / Avg: 51795.61 / Max: 52696.05 Min: 47278.3 / Avg: 47349.29 / Max: 47425.88 Min: 30136.45 / Avg: 30311.94 / Max: 30404.24 Min: 51776.39 / Avg: 52245.23 / Max: 52860.72 Min: 43772.91 / Avg: 44082.95 / Max: 44328.66 Min: 21536.77 / Avg: 21714.65 / Max: 22018.31 Min: 43844.26 / Avg: 44205.8 / Max: 44502.94 Min: 29684.13 / Avg: 29776.81 / Max: 29837.83 Min: 45233.69 / Avg: 45336.89 / Max: 45424.87 Min: 50688.93 / Avg: 52022.76 / Max: 52586.47 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 4.0.3
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: DXT1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 300 600 900 1200 1500 SE +/- 1.34, N = 7 SE +/- 1.99, N = 7 SE +/- 1.74, N = 7 SE +/- 1.98, N = 7 SE +/- 1.97, N = 7 SE +/- 1.94, N = 7 SE +/- 2.20, N = 7 SE +/- 1.96, N = 7 SE +/- 2.05, N = 8 SE +/- 1.94, N = 7 SE +/- 2.23, N = 7 SE +/- 0.24, N = 8 SE +/- 2.27, N = 7 1019.21 1018.97 1007.95 976.59 1008.24 978.85 1007.22 1022.48 1179.02 1035.23 975.22 1179.30 1006.92 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Mpx/s Per Watt
OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 0.7 Configuration: DXT1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 6 12 18 24 30 17.07 24.45 23.75 27.45 20.49 27.10 17.06 24.28 19.82 24.75 26.39 26.64 17.36
Result Confidence
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: DXT1 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 200 400 600 800 1000 Min: 1017.42 / Avg: 1019.21 / Max: 1027.18 Min: 1012.27 / Avg: 1018.97 / Max: 1026.96 Min: 1001.21 / Avg: 1007.95 / Max: 1011.76 Min: 970.13 / Avg: 976.59 / Max: 981.11 Min: 1002.46 / Avg: 1008.24 / Max: 1013.3 Min: 972.88 / Avg: 978.85 / Max: 983.32 Min: 1002.3 / Avg: 1007.22 / Max: 1013.81 Min: 1017.68 / Avg: 1022.48 / Max: 1028.23 Min: 1173.37 / Avg: 1179.02 / Max: 1186.77 Min: 1031.59 / Avg: 1035.22 / Max: 1042.84 Min: 970.09 / Avg: 975.22 / Max: 983.12 Min: 1178.67 / Avg: 1179.3 / Max: 1180.64 Min: 999.92 / Avg: 1006.92 / Max: 1013.6 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
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.
Result
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K SE +/- 1033.87, N = 15 SE +/- 134.09, N = 10 SE +/- 80.44, N = 9 SE +/- 139.55, N = 9 SE +/- 375.36, N = 8 SE +/- 22.37, N = 11 SE +/- 1366.04, N = 15 SE +/- 160.95, N = 8 SE +/- 308.97, N = 9 SE +/- 143.74, N = 9 SE +/- 71.59, N = 9 SE +/- 37.94, N = 10 SE +/- 154.09, N = 8 SE +/- 641.51, N = 9 145868.29 111563.84 84316.23 44242.98 135838.12 61838.52 155375.98 136276.50 71767.96 144583.87 76796.04 54800.99 135786.94 149967.74 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300 600 900 1200 1500 1260.43 1403.88 1116.04 839.58 1263.45 1139.68 1389.25 1457.28 604.59 1396.95 1200.32 805.56 1272.00 1309.22
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 30K 60K 90K 120K 150K Min: 143378.84 / Avg: 145868.29 / Max: 159924 Min: 110544.87 / Avg: 111563.84 / Max: 112037.3 Min: 83921.86 / Avg: 84316.23 / Max: 84643.19 Min: 43253.52 / Avg: 44242.98 / Max: 44735.98 Min: 133822.4 / Avg: 135838.12 / Max: 137193.41 Min: 61730.3 / Avg: 61838.52 / Max: 61950.09 Min: 151616.85 / Avg: 155375.98 / Max: 173605.93 Min: 135695.57 / Avg: 136276.5 / Max: 136949.63 Min: 70448.73 / Avg: 71767.96 / Max: 73371.09 Min: 143957.47 / Avg: 144583.87 / Max: 145193.47 Min: 76508.11 / Avg: 76796.04 / Max: 77062.73 Min: 54543.54 / Avg: 54800.99 / Max: 54955.54 Min: 135207.86 / Avg: 135786.94 / Max: 136435.92 Min: 148789.93 / Avg: 149967.74 / Max: 154980.74 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.03302, N = 15 SE +/- 0.00636, N = 9 SE +/- 0.00474, N = 9 SE +/- 0.00735, N = 9 SE +/- 0.00950, N = 9 SE +/- 0.00724, N = 9 SE +/- 0.02912, N = 15 SE +/- 0.00414, N = 9 SE +/- 0.00511, N = 9 SE +/- 0.00582, N = 9 SE +/- 0.00482, N = 9 SE +/- 0.00118, N = 9 SE +/- 0.00881, N = 9 SE +/- 0.01930, N = 15 2.82015 3.34633 4.72608 8.27184 2.55335 6.29135 2.52363 3.68833 3.92737 3.44118 5.08328 6.46398 3.60130 2.40380 MIN: 2.49 MIN: 3.15 MIN: 4.52 MIN: 8 MIN: 2.41 MIN: 6.07 MIN: 2.25 MIN: 3.26 MIN: 3.81 MIN: 3.03 MIN: 4.73 MIN: 6.38 MIN: 3.22 MIN: 2.23 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 2.71 / Avg: 2.82 / Max: 3.12 Min: 3.33 / Avg: 3.35 / Max: 3.39 Min: 4.71 / Avg: 4.73 / Max: 4.74 Min: 8.23 / Avg: 8.27 / Max: 8.29 Min: 2.52 / Avg: 2.55 / Max: 2.62 Min: 6.26 / Avg: 6.29 / Max: 6.32 Min: 2.43 / Avg: 2.52 / Max: 2.85 Min: 3.67 / Avg: 3.69 / Max: 3.7 Min: 3.89 / Avg: 3.93 / Max: 3.94 Min: 3.42 / Avg: 3.44 / Max: 3.47 Min: 5.06 / Avg: 5.08 / Max: 5.11 Min: 6.46 / Avg: 6.46 / Max: 6.47 Min: 3.57 / Avg: 3.6 / Max: 3.64 Min: 2.29 / Avg: 2.4 / Max: 2.52 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
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.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.6833 1.3666 2.0499 2.7332 3.4165 SE +/- 0.003, N = 9 SE +/- 0.002, N = 9 SE +/- 0.002, N = 9 SE +/- 0.002, N = 9 SE +/- 0.002, N = 9 SE +/- 0.001, N = 9 SE +/- 0.003, N = 9 SE +/- 0.003, N = 9 SE +/- 0.002, N = 10 SE +/- 0.001, N = 9 SE +/- 0.002, N = 9 SE +/- 0.001, N = 10 SE +/- 0.001, N = 9 SE +/- 0.003, N = 9 2.905 2.901 2.945 3.035 2.945 3.029 2.946 2.899 2.500 2.858 3.037 2.495 2.945 2.952 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 2.89 / Avg: 2.9 / Max: 2.92 Min: 2.89 / Avg: 2.9 / Max: 2.91 Min: 2.94 / Avg: 2.94 / Max: 2.95 Min: 3.03 / Avg: 3.04 / Max: 3.05 Min: 2.94 / Avg: 2.94 / Max: 2.95 Min: 3.02 / Avg: 3.03 / Max: 3.03 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 2.89 / Avg: 2.9 / Max: 2.92 Min: 2.49 / Avg: 2.5 / Max: 2.51 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 3.03 / Avg: 3.04 / Max: 3.05 Min: 2.49 / Avg: 2.49 / Max: 2.5 Min: 2.94 / Avg: 2.94 / Max: 2.95 Min: 2.94 / Avg: 2.95 / Max: 2.97 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.00637, N = 9 SE +/- 0.00168, N = 9 SE +/- 0.00304, N = 9 SE +/- 0.00235, N = 9 SE +/- 0.00157, N = 9 SE +/- 0.00336, N = 9 SE +/- 0.00834, N = 9 SE +/- 0.00338, N = 9 SE +/- 0.00628, N = 9 SE +/- 0.00215, N = 9 SE +/- 0.00324, N = 9 SE +/- 0.00176, N = 9 SE +/- 0.00104, N = 9 SE +/- 0.00625, N = 9 1.49446 2.38306 3.34663 6.79445 1.55494 4.52758 1.43124 1.94845 3.02897 1.89624 3.45290 5.58260 1.98809 1.53915 MIN: 1.36 MIN: 2.33 MIN: 3.25 MIN: 6.75 MIN: 1.42 MIN: 4.47 MIN: 1.26 MIN: 1.82 MIN: 2.92 MIN: 1.77 MIN: 3.34 MIN: 5.52 MIN: 1.83 MIN: 1.37 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 1.48 / Avg: 1.49 / Max: 1.53 Min: 2.38 / Avg: 2.38 / Max: 2.39 Min: 3.33 / Avg: 3.35 / Max: 3.36 Min: 6.79 / Avg: 6.79 / Max: 6.81 Min: 1.55 / Avg: 1.55 / Max: 1.56 Min: 4.51 / Avg: 4.53 / Max: 4.54 Min: 1.41 / Avg: 1.43 / Max: 1.48 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.99 / Avg: 3.03 / Max: 3.05 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 3.44 / Avg: 3.45 / Max: 3.47 Min: 5.57 / Avg: 5.58 / Max: 5.59 Min: 1.98 / Avg: 1.99 / Max: 1.99 Min: 1.52 / Avg: 1.54 / Max: 1.57 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
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.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 SE +/- 0.257, N = 15 SE +/- 0.089, N = 15 SE +/- 0.024, N = 10 SE +/- 0.002, N = 8 SE +/- 0.286, N = 15 SE +/- 0.008, N = 9 SE +/- 0.301, N = 15 SE +/- 0.286, N = 15 SE +/- 0.028, N = 11 SE +/- 0.252, N = 15 SE +/- 0.026, N = 10 SE +/- 0.003, N = 9 SE +/- 0.178, N = 15 SE +/- 0.291, N = 15 19.997 14.038 10.374 5.237 18.506 7.582 21.763 15.685 11.521 16.564 9.685 6.470 16.265 19.328 1. (CXX) g++ options: -O3 -pthread -lm
ns/day Per Watt
OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.0653 0.1306 0.1959 0.2612 0.3265 0.25 0.23 0.18 0.11 0.26 0.15 0.29 0.25 0.14 0.26 0.18 0.10 0.22 0.25
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 5 10 15 20 25 Min: 19.07 / Avg: 20 / Max: 22.21 Min: 13.39 / Avg: 14.04 / Max: 14.46 Min: 10.19 / Avg: 10.37 / Max: 10.46 Min: 5.23 / Avg: 5.24 / Max: 5.25 Min: 17.37 / Avg: 18.51 / Max: 20.7 Min: 7.55 / Avg: 7.58 / Max: 7.61 Min: 20.67 / Avg: 21.76 / Max: 24.47 Min: 13.34 / Avg: 15.69 / Max: 17.35 Min: 11.4 / Avg: 11.52 / Max: 11.65 Min: 14.32 / Avg: 16.56 / Max: 18.32 Min: 9.59 / Avg: 9.69 / Max: 9.82 Min: 6.45 / Avg: 6.47 / Max: 6.49 Min: 14.97 / Avg: 16.27 / Max: 17.08 Min: 18.26 / Avg: 19.33 / Max: 21.71 1. (CXX) g++ options: -O3 -pthread -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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 100 200 300 400 500 SE +/- 3.60, N = 15 SE +/- 0.86, N = 11 SE +/- 0.29, N = 10 SE +/- 0.15, N = 8 SE +/- 0.97, N = 10 SE +/- 0.45, N = 9 SE +/- 0.96, N = 10 SE +/- 0.76, N = 11 SE +/- 0.36, N = 10 SE +/- 0.74, N = 11 SE +/- 0.35, N = 10 SE +/- 0.26, N = 8 SE +/- 1.03, N = 11 SE +/- 0.61, N = 10 409.36 413.09 316.49 144.32 445.92 239.47 448.08 437.88 263.13 459.14 295.80 167.08 426.52 458.24 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 5.28 6.59 5.07 2.72 6.57 4.25 5.97 7.27 2.76 7.38 5.47 2.34 5.70 6.14
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 80 160 240 320 400 Min: 379.51 / Avg: 409.36 / Max: 426.74 Min: 407.89 / Avg: 413.09 / Max: 416.67 Min: 315.62 / Avg: 316.49 / Max: 317.97 Min: 143.85 / Avg: 144.32 / Max: 145.1 Min: 441.83 / Avg: 445.92 / Max: 451.13 Min: 237.06 / Avg: 239.47 / Max: 241.16 Min: 442.15 / Avg: 448.08 / Max: 452.83 Min: 434.47 / Avg: 437.88 / Max: 443.13 Min: 260.87 / Avg: 263.13 / Max: 264.67 Min: 454.55 / Avg: 459.14 / Max: 462.25 Min: 293.54 / Avg: 295.8 / Max: 297.47 Min: 165.84 / Avg: 167.08 / Max: 168.07 Min: 419.29 / Avg: 426.52 / Max: 430.73 Min: 456.27 / Avg: 458.24 / Max: 462.61 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Parboil The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP CUTCP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 0.7261 1.4522 2.1783 2.9044 3.6305 SE +/- 0.002056, N = 13 SE +/- 0.003909, N = 12 SE +/- 0.010317, N = 11 SE +/- 0.016438, N = 9 SE +/- 0.001391, N = 13 SE +/- 0.006375, N = 9 SE +/- 0.001641, N = 13 SE +/- 0.006410, N = 12 SE +/- 0.007208, N = 11 SE +/- 0.005531, N = 12 SE +/- 0.005522, N = 11 SE +/- 0.019546, N = 10 SE +/- 0.006800, N = 12 SE +/- 0.001666, N = 13 0.773474 1.561688 1.873804 3.227103 0.890726 2.965136 0.762238 1.149282 1.715944 1.134961 1.783589 2.796277 1.256882 0.902611 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP CUTCP EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 2 4 6 8 10 Min: 0.76 / Avg: 0.77 / Max: 0.79 Min: 1.54 / Avg: 1.56 / Max: 1.59 Min: 1.83 / Avg: 1.87 / Max: 1.93 Min: 3.17 / Avg: 3.23 / Max: 3.29 Min: 0.88 / Avg: 0.89 / Max: 0.9 Min: 2.92 / Avg: 2.97 / Max: 2.99 Min: 0.75 / Avg: 0.76 / Max: 0.77 Min: 1.12 / Avg: 1.15 / Max: 1.18 Min: 1.66 / Avg: 1.72 / Max: 1.74 Min: 1.11 / Avg: 1.13 / Max: 1.17 Min: 1.76 / Avg: 1.78 / Max: 1.82 Min: 2.71 / Avg: 2.8 / Max: 2.88 Min: 1.22 / Avg: 1.26 / Max: 1.3 Min: 0.89 / Avg: 0.9 / Max: 0.91 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -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.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 300K 600K 900K 1200K 1500K SE +/- 658.02, N = 11 SE +/- 1181.68, N = 11 SE +/- 609.53, N = 11 SE +/- 504.67, N = 11 SE +/- 587.46, N = 11 SE +/- 863.61, N = 11 SE +/- 1511.23, N = 11 SE +/- 1366.07, N = 11 SE +/- 791.31, N = 12 SE +/- 372.53, N = 12 SE +/- 1355.09, N = 11 SE +/- 1531.45, N = 12 SE +/- 986.25, N = 11 1015858 1013320 997133 969371 997461 969066 997809 1014342 1178140 1030295 968149 1180682 999442 1. (CC) gcc options: -O3 -march=native
Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better TSCP 1.81 AI Chess Performance EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 7K 14K 21K 28K 35K 19805.30 27950.92 26682.94 30915.01 23213.22 30478.57 19457.25 27717.32 23615.12 28093.43 29161.11 31397.39 20016.67
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 200K 400K 600K 800K 1000K Min: 1010601 / Avg: 1015858.45 / Max: 1018073 Min: 1003238 / Avg: 1013319.55 / Max: 1016195 Min: 994184 / Avg: 997132.73 / Max: 999597 Min: 966277 / Avg: 969371.36 / Max: 971389 Min: 994184 / Avg: 997460.73 / Max: 999597 Min: 961218 / Avg: 969066.36 / Max: 971389 Min: 987057 / Avg: 997809 / Max: 1001414 Min: 1001414 / Avg: 1014342.27 / Max: 1018073 Min: 1174366 / Avg: 1178140.42 / Max: 1181927 Min: 1029491 / Avg: 1030294.92 / Max: 1033354 Min: 956211 / Avg: 968148.55 / Max: 971389 Min: 1166902 / Avg: 1180681.92 / Max: 1187021 Min: 990607 / Avg: 999441.64 / Max: 1003238 1. (CC) gcc options: -O3 -march=native
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 300 600 900 1200 1500 SE +/- 1.60, N = 3 SE +/- 2.68, N = 3 SE +/- 0.73, N = 3 SE +/- 0.82, N = 3 SE +/- 3.10, N = 3 SE +/- 0.90, N = 3 SE +/- 3.75, N = 3 SE +/- 1.87, N = 3 SE +/- 1.44, N = 3 SE +/- 0.47, N = 3 SE +/- 0.46, N = 3 SE +/- 0.28, N = 3 SE +/- 1.15, N = 3 SE +/- 1.10, N = 3 1050.99 847.40 634.51 419.19 1044.25 555.11 1193.66 932.75 651.36 937.44 644.23 453.36 880.57 1070.09 MIN: 478.51 / MAX: 1166.67 MIN: 566.75 / MAX: 939.62 MIN: 482.67 / MAX: 693.38 MIN: 370.7 / MAX: 456.84 MIN: 554.63 / MAX: 1157.48 MIN: 463.4 / MAX: 605.59 MIN: 500.62 / MAX: 1329.43 MIN: 659.65 / MAX: 1047.61 MIN: 480.87 / MAX: 706.63 MIN: 659.51 / MAX: 1052.41 MIN: 503.48 / MAX: 704.1 MIN: 400.76 / MAX: 488.59 MIN: 567.79 / MAX: 985.57 MIN: 574.58 / MAX: 1186.8 1. (CC) gcc options: -pthread
FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.8.1 Video Input: Summer Nature 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 4 8 12 16 20 13.08 14.37 10.93 8.74 15.42 11.35 15.54 15.80 7.40 16.36 12.88 7.06 11.30 14.70
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 1080p EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 200 400 600 800 1000 Min: 1048.15 / Avg: 1050.99 / Max: 1053.7 Min: 842.07 / Avg: 847.4 / Max: 850.64 Min: 633.06 / Avg: 634.51 / Max: 635.27 Min: 417.79 / Avg: 419.19 / Max: 420.62 Min: 1038.12 / Avg: 1044.25 / Max: 1048.12 Min: 553.68 / Avg: 555.11 / Max: 556.76 Min: 1186.16 / Avg: 1193.66 / Max: 1197.47 Min: 929.58 / Avg: 932.75 / Max: 936.06 Min: 648.52 / Avg: 651.36 / Max: 653.25 Min: 936.52 / Avg: 937.44 / Max: 938.02 Min: 643.31 / Avg: 644.23 / Max: 644.7 Min: 452.94 / Avg: 453.36 / Max: 453.9 Min: 879.23 / Avg: 880.57 / Max: 882.86 Min: 1068.71 / Avg: 1070.09 / Max: 1072.27 1. (CC) gcc options: -pthread
Stream OpenBenchmarking.org MB/s Per Watt, More Is Better Stream 2013-01-17 Type: Triad EPYC 7402P EPYC 7302P EPYC 7232P 600 1200 1800 2400 3000 2788.51 2743.30 2060.05
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K SE +/- 26.33, N = 5 SE +/- 7.48, N = 5 SE +/- 5.88, N = 5 SE +/- 65.26, N = 5 SE +/- 11.91, N = 5 SE +/- 2.27, N = 5 SE +/- 21.10, N = 5 SE +/- 19.43, N = 5 SE +/- 194.23, N = 5 SE +/- 36.22, N = 5 SE +/- 8.84, N = 5 SE +/- 59.32, N = 5 SE +/- 16.47, N = 5 98034.8 87308.4 88105.7 56788.6 96497.1 56066.6 98343.2 87239.8 72315.6 87057.0 55596.3 89567.2 99248.2 1. (CC) gcc options: -O3 -march=native -fopenmp
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Stream 2013-01-17 Type: Triad EPYC 7402P EPYC 7302P EPYC 7232P 600 1200 1800 2400 3000 2788.51 2743.30 2060.05
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K Min: 97939.6 / Avg: 98034.8 / Max: 98096.1 Min: 87291.9 / Avg: 87308.42 / Max: 87333.6 Min: 88086.3 / Avg: 88105.74 / Max: 88121.8 Min: 56528 / Avg: 56788.62 / Max: 56863.9 Min: 96474.4 / Avg: 96497.14 / Max: 96541 Min: 56061.4 / Avg: 56066.58 / Max: 56074.5 Min: 98280 / Avg: 98343.22 / Max: 98393.4 Min: 87168 / Avg: 87239.76 / Max: 87282.1 Min: 71942.4 / Avg: 72315.56 / Max: 73068.3 Min: 86972.9 / Avg: 87057.04 / Max: 87161.9 Min: 55564.4 / Avg: 55596.28 / Max: 55617.5 Min: 89468.9 / Avg: 89567.18 / Max: 89800.2 Min: 99194.2 / Avg: 99248.22 / Max: 99293.1 1. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.org MB/s Per Watt, More Is Better Stream 2013-01-17 Type: Add EPYC 7702 EPYC 7F52 500 1000 1500 2000 2500 2144.89 1709.94
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K SE +/- 25.81, N = 5 SE +/- 9.19, N = 5 SE +/- 17.97, N = 5 SE +/- 61.95, N = 5 SE +/- 16.17, N = 5 SE +/- 9.00, N = 5 SE +/- 29.12, N = 5 SE +/- 13.36, N = 5 SE +/- 39.00, N = 5 SE +/- 16.89, N = 5 SE +/- 6.11, N = 5 SE +/- 18.23, N = 5 SE +/- 7.96, N = 5 97206.3 86805.6 87568.8 56795.1 95807.0 55911.6 97180.9 86677.2 72752.2 86737.7 55437.2 89255.4 97912.5 1. (CC) gcc options: -O3 -march=native -fopenmp
MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Stream 2013-01-17 Type: Add EPYC 7702 EPYC 7F52 500 1000 1500 2000 2500 2144.89 1709.94
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K Min: 97146.6 / Avg: 97206.28 / Max: 97299.6 Min: 86780.2 / Avg: 86805.64 / Max: 86837.1 Min: 87527.2 / Avg: 87568.78 / Max: 87617.1 Min: 56547.6 / Avg: 56795.1 / Max: 56866.8 Min: 95762.2 / Avg: 95807.04 / Max: 95857.9 Min: 55883.1 / Avg: 55911.58 / Max: 55937.4 Min: 97111 / Avg: 97180.94 / Max: 97268.6 Min: 86645.7 / Avg: 86677.24 / Max: 86711.4 Min: 72639.1 / Avg: 72752.2 / Max: 72844.7 Min: 86695.7 / Avg: 86737.72 / Max: 86780.2 Min: 55417 / Avg: 55437.24 / Max: 55454.2 Min: 89196.2 / Avg: 89255.38 / Max: 89299.1 Min: 97891 / Avg: 97912.52 / Max: 97938.6 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 20K 40K 60K 80K 100K SE +/- 27.01, N = 5 SE +/- 7.47, N = 5 SE +/- 10.74, N = 5 SE +/- 61.32, N = 5 SE +/- 32.31, N = 5 SE +/- 4.61, N = 5 SE +/- 21.55, N = 5 SE +/- 12.22, N = 5 SE +/- 31.64, N = 5 SE +/- 14.00, N = 5 SE +/- 3.08, N = 5 SE +/- 30.51, N = 5 SE +/- 18.59, N = 5 87714.6 79147.3 79703.5 52630.1 86805.6 51978.2 87848.1 78638.6 67011.9 78399.9 51044.2 81753.0 89487.6 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 16K 32K 48K 64K 80K Min: 87618.6 / Avg: 87714.62 / Max: 87786 Min: 79125.7 / Avg: 79147.34 / Max: 79168.6 Min: 79669.6 / Avg: 79703.46 / Max: 79733 Min: 52385 / Avg: 52630.06 / Max: 52697.2 Min: 86725.2 / Avg: 86805.6 / Max: 86880.2 Min: 51965.2 / Avg: 51978.22 / Max: 51992.1 Min: 87786 / Avg: 87848.06 / Max: 87907.9 Min: 78592.9 / Avg: 78638.56 / Max: 78666.6 Min: 66926.2 / Avg: 67011.88 / Max: 67120.3 Min: 78366.2 / Avg: 78399.86 / Max: 78439.4 Min: 51038.4 / Avg: 51044.22 / Max: 51055.9 Min: 81720.5 / Avg: 81753 / Max: 81875 Min: 89445.1 / Avg: 89487.56 / Max: 89550.1 1. (CC) gcc options: -O3 -march=native -fopenmp
BlogBench OpenBenchmarking.org Final Score Per Watt, More Is Better BlogBench 1.1 Test: Write EPYC 7702 EPYC 7302P 200 400 600 800 1000 984.94 1143.48
Result
OpenBenchmarking.org Final Score, More Is Better BlogBench 1.1 Test: Write EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 10K 20K 30K 40K 50K SE +/- 312.03, N = 3 SE +/- 1363.32, N = 3 SE +/- 448.51, N = 3 SE +/- 510.12, N = 3 SE +/- 2893.83, N = 3 SE +/- 66.78, N = 3 SE +/- 249.84, N = 3 SE +/- 1515.78, N = 3 SE +/- 379.22, N = 3 SE +/- 1923.72, N = 3 SE +/- 361.51, N = 3 SE +/- 648.32, N = 3 SE +/- 1222.34, N = 3 SE +/- 2455.63, N = 3 44434 42491 37026 21916 41586 28663 45477 43733 36834 43408 33627 27443 39412 39319 1. (CC) gcc options: -O2 -pthread
Final Score Per Watt
OpenBenchmarking.org Final Score Per Watt, More Is Better BlogBench 1.1 Test: Write EPYC 7702 EPYC 7302P 200 400 600 800 1000 984.94 1143.48
Result Confidence
OpenBenchmarking.org Final Score, More Is Better BlogBench 1.1 Test: Write EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7532 EPYC 7642 8K 16K 24K 32K 40K Min: 43811 / Avg: 44434.33 / Max: 44772 Min: 39807 / Avg: 42491 / Max: 44249 Min: 36148 / Avg: 37025.67 / Max: 37625 Min: 20947 / Avg: 21916 / Max: 22677 Min: 35861 / Avg: 41586 / Max: 45184 Min: 28551 / Avg: 28663 / Max: 28782 Min: 44984 / Avg: 45477 / Max: 45794 Min: 40707 / Avg: 43733 / Max: 45405 Min: 36386 / Avg: 36834 / Max: 37588 Min: 39566 / Avg: 43408.33 / Max: 45501 Min: 33112 / Avg: 33627 / Max: 34324 Min: 26499 / Avg: 27443.33 / Max: 28685 Min: 36967 / Avg: 39411.67 / Max: 40640 Min: 34451 / Avg: 39318.67 / Max: 42318 1. (CC) gcc options: -O2 -pthread
EPYC 7702 Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 February 2021 14:42 by user root.
EPYC 7402P Processor: AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 February 2021 10:08 by user root.
EPYC 7302P Processor: AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 February 2021 15:16 by user root.
EPYC 7232P Processor: AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 February 2021 05:20 by user root.
EPYC 7552 Processor: AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 7 February 2021 14:57 by user root.
EPYC 7272 Processor: AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 February 2021 18:51 by user root.
EPYC 7662 Processor: AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: llvmpipe, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 February 2021 06:13 by user root.
EPYC 7502P Processor: AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 11 February 2021 11:19 by user root.
EPYC 7F52 Processor: AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 12 February 2021 15:29 by user root.
EPYC 7542 Processor: AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 February 2021 20:39 by user root.
EPYC 7282 Processor: AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 February 2021 05:59 by user root.
EPYC 7F32 Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 16 February 2021 12:26 by user root.
EPYC 7532 Processor: AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 17 February 2021 20:08 by user root.
EPYC 7642 Processor: AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.04, Kernel: 5.11.0-051100rc6daily20210201-generic (x86_64) 20210131, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 19 February 2021 08:25 by user root.