Benchmarks for a future article of various 1P AMD EPYC performance tests.
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 24Aug2020 Model: 20k Atoms EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7232P EPYC 7252 6 12 18 24 30 SE +/- 0.022, N = 3 SE +/- 0.164, N = 3 SE +/- 0.047, N = 3 SE +/- 0.054, N = 3 SE +/- 0.046, N = 3 SE +/- 0.007, N = 3 SE +/- 0.038, N = 3 SE +/- 0.057, N = 3 SE +/- 0.073, N = 3 SE +/- 0.028, N = 3 SE +/- 0.009, N = 3 SE +/- 0.055, N = 3 SE +/- 0.005, N = 3 SE +/- 0.032, N = 3 SE +/- 0.053, N = 3 SE +/- 0.053, N = 3 SE +/- 0.016, N = 3 SE +/- 0.065, N = 3 SE +/- 0.015, N = 3 SE +/- 0.052, N = 9 25.007 24.188 22.299 22.000 17.943 17.343 17.307 17.261 16.078 16.035 14.700 13.040 12.242 10.431 9.441 7.459 5.762 5.531 5.214 4.895 1. (CXX) g++ options: -O3 -pthread -lm Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7232P EPYC 7252 6 12 18 24 30 Min: 24.97 / Avg: 25.01 / Max: 25.05 Min: 23.87 / Avg: 24.19 / Max: 24.41 Min: 22.22 / Avg: 22.3 / Max: 22.38 Min: 21.93 / Avg: 22 / Max: 22.11 Min: 17.88 / Avg: 17.94 / Max: 18.03 Min: 17.33 / Avg: 17.34 / Max: 17.36 Min: 17.26 / Avg: 17.31 / Max: 17.38 Min: 17.15 / Avg: 17.26 / Max: 17.33 Min: 15.98 / Avg: 16.08 / Max: 16.22 Min: 15.98 / Avg: 16.04 / Max: 16.06 Min: 14.68 / Avg: 14.7 / Max: 14.72 Min: 12.93 / Avg: 13.04 / Max: 13.11 Min: 12.23 / Avg: 12.24 / Max: 12.25 Min: 10.37 / Avg: 10.43 / Max: 10.48 Min: 9.35 / Avg: 9.44 / Max: 9.54 Min: 7.4 / Avg: 7.46 / Max: 7.56 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 5.43 / Avg: 5.53 / Max: 5.65 Min: 5.18 / Avg: 5.21 / Max: 5.23 Min: 4.57 / Avg: 4.9 / Max: 5.06 1. (CXX) g++ options: -O3 -pthread -lm
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7262 4 8 12 16 20 SE +/- 0.038, N = 3 SE +/- 0.045, N = 3 SE +/- 0.016, N = 3 SE +/- 0.033, N = 3 SE +/- 0.025, N = 3 SE +/- 0.013, N = 3 SE +/- 0.174, N = 3 SE +/- 0.110, N = 4 SE +/- 0.056, N = 3 SE +/- 0.052, N = 3 18.028 17.341 17.276 16.237 13.129 9.287 9.123 7.481 5.031 4.867 1. (CXX) g++ options: -O3 -pthread -lm Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7262 5 10 15 20 25 Min: 17.96 / Avg: 18.03 / Max: 18.09 Min: 17.26 / Avg: 17.34 / Max: 17.42 Min: 17.25 / Avg: 17.28 / Max: 17.31 Min: 16.19 / Avg: 16.24 / Max: 16.3 Min: 13.09 / Avg: 13.13 / Max: 13.18 Min: 9.26 / Avg: 9.29 / Max: 9.3 Min: 8.78 / Avg: 9.12 / Max: 9.34 Min: 7.16 / Avg: 7.48 / Max: 7.65 Min: 4.96 / Avg: 5.03 / Max: 5.14 Min: 4.77 / Avg: 4.87 / Max: 4.94 1. (CXX) g++ options: -O3 -pthread -lm
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: tfft2 EPYC 7F72 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7532 EPYC 7F52 EPYC 7F32 EPYC 7552 EPYC 7262 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7302P EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7232P 14 28 42 56 70 20.97 32.97 33.11 34.89 45.33 50.45 51.00 54.09 55.58 56.03 56.48 56.55 56.73 56.92 57.12 58.26 58.54 59.08 60.38 62.97
Java Gradle Build This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7F52 EPYC 7F72 EPYC 7662 EPYC 7702 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7F32 EPYC 7552 EPYC 7252 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7282 EPYC 7352 EPYC 7232P EPYC 7302P 80 160 240 320 400 SE +/- 2.59, N = 3 SE +/- 4.69, N = 4 SE +/- 4.71, N = 9 SE +/- 5.38, N = 9 SE +/- 4.91, N = 3 SE +/- 5.74, N = 9 SE +/- 3.41, N = 9 SE +/- 5.14, N = 9 SE +/- 2.60, N = 3 SE +/- 3.70, N = 7 SE +/- 5.31, N = 3 SE +/- 4.99, N = 3 SE +/- 2.49, N = 3 SE +/- 6.20, N = 9 SE +/- 5.65, N = 9 SE +/- 6.72, N = 9 SE +/- 6.11, N = 3 SE +/- 5.13, N = 9 SE +/- 2.73, N = 3 SE +/- 3.87, N = 3 323.23 330.10 331.29 337.81 339.35 339.80 340.22 342.25 344.39 344.50 350.98 354.27 356.75 357.63 358.64 366.75 368.49 371.18 373.08 379.76 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7F52 EPYC 7F72 EPYC 7662 EPYC 7702 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7F32 EPYC 7552 EPYC 7252 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7282 EPYC 7352 EPYC 7232P EPYC 7302P 70 140 210 280 350 Min: 318.18 / Avg: 323.23 / Max: 326.76 Min: 320.17 / Avg: 330.1 / Max: 341.36 Min: 313.98 / Avg: 331.29 / Max: 351.86 Min: 313.22 / Avg: 337.81 / Max: 361.29 Min: 331.61 / Avg: 339.35 / Max: 348.44 Min: 315.08 / Avg: 339.8 / Max: 372.17 Min: 319.89 / Avg: 340.21 / Max: 351.36 Min: 316.71 / Avg: 342.25 / Max: 361.76 Min: 339.25 / Avg: 344.39 / Max: 347.65 Min: 331.32 / Avg: 344.5 / Max: 361.38 Min: 340.37 / Avg: 350.98 / Max: 356.76 Min: 344.4 / Avg: 354.27 / Max: 360.52 Min: 351.87 / Avg: 356.75 / Max: 360.05 Min: 327.79 / Avg: 357.63 / Max: 390.79 Min: 343.49 / Avg: 358.64 / Max: 401.05 Min: 345.02 / Avg: 366.75 / Max: 408.84 Min: 361.79 / Avg: 368.49 / Max: 380.7 Min: 349.96 / Avg: 371.18 / Max: 391.88 Min: 368.67 / Avg: 373.08 / Max: 378.08 Min: 372.45 / Avg: 379.76 / Max: 385.63
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 512 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7272 EPYC 7352 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 100 200 300 400 500 SE +/- 0.73, N = 3 SE +/- 0.93, N = 3 SE +/- 0.53, N = 3 SE +/- 0.35, N = 3 SE +/- 0.58, N = 3 SE +/- 0.63, N = 3 SE +/- 0.61, N = 3 SE +/- 0.79, N = 3 SE +/- 0.13, N = 3 SE +/- 0.49, N = 3 SE +/- 0.17, N = 3 SE +/- 0.53, N = 3 SE +/- 0.69, N = 3 SE +/- 1.03, N = 3 SE +/- 0.52, N = 3 SE +/- 0.51, N = 3 SE +/- 0.77, N = 3 SE +/- 2.03, N = 3 SE +/- 0.57, N = 3 SE +/- 0.52, N = 3 454 451 432 415 409 408 387 383 383 378 377 377 376 356 355 354 280 279 263 236 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 512 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7272 EPYC 7352 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 80 160 240 320 400 Min: 453.31 / Avg: 454.13 / Max: 455.58 Min: 449.84 / Avg: 451.06 / Max: 452.9 Min: 431.59 / Avg: 432.22 / Max: 433.28 Min: 414.08 / Avg: 414.65 / Max: 415.28 Min: 408.16 / Avg: 409.17 / Max: 410.17 Min: 407.17 / Avg: 408.22 / Max: 409.33 Min: 386.1 / Avg: 386.85 / Max: 388.05 Min: 381.97 / Avg: 383.1 / Max: 384.62 Min: 382.85 / Avg: 383.09 / Max: 383.29 Min: 376.79 / Avg: 377.64 / Max: 378.5 Min: 377.22 / Avg: 377.45 / Max: 377.79 Min: 375.94 / Avg: 376.84 / Max: 377.79 Min: 375.23 / Avg: 375.99 / Max: 377.36 Min: 354.74 / Avg: 356.47 / Max: 358.29 Min: 354.36 / Avg: 355.33 / Max: 356.13 Min: 353.36 / Avg: 354.15 / Max: 355.11 Min: 278.24 / Avg: 279.59 / Max: 280.9 Min: 275.41 / Avg: 279.23 / Max: 282.33 Min: 261.92 / Avg: 262.58 / Max: 263.71 Min: 235.52 / Avg: 236.32 / Max: 237.3 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 256 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7302P EPYC 7642 EPYC 7272 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7702 EPYC 7662 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 100 200 300 400 500 SE +/- 1.01, N = 3 SE +/- 0.32, N = 3 SE +/- 0.87, N = 3 SE +/- 0.55, N = 3 SE +/- 0.74, N = 3 SE +/- 0.55, N = 3 SE +/- 0.34, N = 3 SE +/- 0.25, N = 3 SE +/- 0.35, N = 3 SE +/- 0.82, N = 3 SE +/- 0.24, N = 3 SE +/- 0.42, N = 3 SE +/- 0.46, N = 3 SE +/- 0.45, N = 3 SE +/- 0.45, N = 3 SE +/- 0.42, N = 3 SE +/- 0.57, N = 3 SE +/- 0.69, N = 3 SE +/- 0.65, N = 3 SE +/- 0.34, N = 3 459 455 431 417 411 410 394 387 385 382 379 379 379 358 356 354 292 287 273 247 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 256 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7302P EPYC 7642 EPYC 7272 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7702 EPYC 7662 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 80 160 240 320 400 Min: 456.83 / Avg: 458.79 / Max: 460.19 Min: 454.55 / Avg: 454.96 / Max: 455.58 Min: 430.11 / Avg: 431.47 / Max: 433.09 Min: 416.49 / Avg: 417.13 / Max: 418.24 Min: 410.17 / Avg: 411.07 / Max: 412.54 Min: 409 / Avg: 409.78 / Max: 410.85 Min: 392.93 / Avg: 393.6 / Max: 394.01 Min: 386.7 / Avg: 386.95 / Max: 387.45 Min: 384.76 / Avg: 385.31 / Max: 385.95 Min: 380.08 / Avg: 381.63 / Max: 382.85 Min: 378.5 / Avg: 378.98 / Max: 379.22 Min: 378.79 / Avg: 379.46 / Max: 380.23 Min: 377.64 / Avg: 378.55 / Max: 379.08 Min: 357.4 / Avg: 358.21 / Max: 358.94 Min: 354.86 / Avg: 355.54 / Max: 356.38 Min: 353.48 / Avg: 354.03 / Max: 354.86 Min: 291.21 / Avg: 291.86 / Max: 293 Min: 285.71 / Avg: 287.08 / Max: 287.77 Min: 271.74 / Avg: 272.76 / Max: 273.97 Min: 246.43 / Avg: 246.79 / Max: 247.46 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
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 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7702 EPYC 7532 EPYC 7262 EPYC 7282 EPYC 7642 EPYC 7272 EPYC 7352 EPYC 7232P EPYC 7252 4K 8K 12K 16K 20K SE +/- 185.62, N = 8 SE +/- 30.07, N = 3 SE +/- 77.56, N = 3 SE +/- 39.21, N = 3 SE +/- 94.50, N = 3 SE +/- 204.31, N = 3 SE +/- 86.33, N = 3 SE +/- 39.40, N = 3 SE +/- 115.47, N = 3 SE +/- 238.37, N = 3 SE +/- 171.42, N = 6 SE +/- 224.88, N = 3 SE +/- 71.08, N = 3 SE +/- 174.94, N = 3 SE +/- 77.59, N = 3 SE +/- 104.33, N = 3 SE +/- 147.87, N = 3 SE +/- 65.28, N = 3 SE +/- 151.54, N = 3 SE +/- 109.92, N = 3 17858 16017 15791 15187 15060 15020 14985 14979 14955 14945 14751 14749 14709 14633 14608 14496 14445 14443 14210 14138 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7702 EPYC 7532 EPYC 7262 EPYC 7282 EPYC 7642 EPYC 7272 EPYC 7352 EPYC 7232P EPYC 7252 3K 6K 9K 12K 15K Min: 16971 / Avg: 17858.25 / Max: 18417 Min: 15963 / Avg: 16016.67 / Max: 16067 Min: 15637 / Avg: 15791.33 / Max: 15882 Min: 15109 / Avg: 15187 / Max: 15233 Min: 14874 / Avg: 15060 / Max: 15182 Min: 14632 / Avg: 15020 / Max: 15325 Min: 14886 / Avg: 14985 / Max: 15157 Min: 14904 / Avg: 14979.33 / Max: 15037 Min: 14780 / Avg: 14955 / Max: 15173 Min: 14469 / Avg: 14945 / Max: 15206 Min: 13908 / Avg: 14751.17 / Max: 15000 Min: 14396 / Avg: 14749.33 / Max: 15167 Min: 14589 / Avg: 14709 / Max: 14835 Min: 14283 / Avg: 14632.67 / Max: 14818 Min: 14524 / Avg: 14608 / Max: 14763 Min: 14336 / Avg: 14496 / Max: 14692 Min: 14172 / Avg: 14445 / Max: 14680 Min: 14319 / Avg: 14443.33 / Max: 14540 Min: 13997 / Avg: 14209.67 / Max: 14503 Min: 13955 / Avg: 14138 / Max: 14335 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 128 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7302P EPYC 7642 EPYC 7272 EPYC 7552 EPYC 7352 EPYC 7452 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 120 240 360 480 600 SE +/- 1.58, N = 3 SE +/- 1.64, N = 3 SE +/- 0.80, N = 3 SE +/- 0.73, N = 3 SE +/- 0.28, N = 3 SE +/- 0.91, N = 3 SE +/- 1.22, N = 3 SE +/- 1.16, N = 3 SE +/- 0.83, N = 3 SE +/- 0.86, N = 3 SE +/- 1.01, N = 3 SE +/- 0.66, N = 3 SE +/- 0.77, N = 3 SE +/- 1.02, N = 3 SE +/- 0.76, N = 3 SE +/- 0.38, N = 3 SE +/- 0.41, N = 3 SE +/- 0.47, N = 3 SE +/- 1.18, N = 3 SE +/- 0.46, N = 3 554 547 517 501 495 490 476 465 464 461 457 455 453 432 430 426 359 351 329 291 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 128 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7302P EPYC 7642 EPYC 7272 EPYC 7552 EPYC 7352 EPYC 7452 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 100 200 300 400 500 Min: 551.88 / Avg: 554.03 / Max: 557.1 Min: 544.07 / Avg: 546.96 / Max: 549.75 Min: 516.26 / Avg: 517.07 / Max: 518.67 Min: 499.5 / Avg: 500.67 / Max: 502.01 Min: 494.56 / Avg: 495.05 / Max: 495.54 Min: 488.28 / Avg: 489.72 / Max: 491.4 Min: 474.38 / Avg: 475.82 / Max: 478.24 Min: 463.82 / Avg: 465.19 / Max: 467.51 Min: 462.75 / Avg: 463.97 / Max: 465.55 Min: 459.77 / Avg: 460.83 / Max: 462.53 Min: 455.58 / Avg: 456.69 / Max: 458.72 Min: 453.72 / Avg: 454.82 / Max: 456 Min: 451.26 / Avg: 452.56 / Max: 453.93 Min: 429.74 / Avg: 431.54 / Max: 433.28 Min: 428.45 / Avg: 429.62 / Max: 431.03 Min: 425.71 / Avg: 426.44 / Max: 426.99 Min: 358.68 / Avg: 359.41 / Max: 360.1 Min: 349.9 / Avg: 350.84 / Max: 351.37 Min: 327.33 / Avg: 328.92 / Max: 331.24 Min: 289.77 / Avg: 290.67 / Max: 291.29 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.65, N = 3 SE +/- 1.34, N = 3 SE +/- 0.99, N = 3 SE +/- 1.85, N = 3 SE +/- 4.26, N = 3 SE +/- 2.19, N = 3 SE +/- 0.66, N = 3 SE +/- 3.65, N = 3 SE +/- 1.79, N = 3 SE +/- 1.75, N = 3 SE +/- 4.66, N = 4 SE +/- 1.82, N = 3 SE +/- 1.25, N = 3 SE +/- 4.72, N = 7 SE +/- 6.61, N = 4 SE +/- 4.59, N = 3 SE +/- 3.22, N = 3 SE +/- 1.38, N = 3 SE +/- 1.95, N = 3 SE +/- 2.64, N = 3 238.82 240.28 251.63 252.86 279.82 286.83 293.32 294.84 299.22 311.57 327.94 342.56 365.27 419.19 454.41 553.78 624.93 702.57 772.09 799.67 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 Min: 237.54 / Avg: 238.82 / Max: 239.66 Min: 237.84 / Avg: 240.27 / Max: 242.46 Min: 249.78 / Avg: 251.63 / Max: 253.18 Min: 249.78 / Avg: 252.86 / Max: 256.19 Min: 271.29 / Avg: 279.82 / Max: 284.22 Min: 282.46 / Avg: 286.83 / Max: 289.26 Min: 292.42 / Avg: 293.32 / Max: 294.62 Min: 287.55 / Avg: 294.84 / Max: 298.7 Min: 296.83 / Avg: 299.22 / Max: 302.71 Min: 308.32 / Avg: 311.57 / Max: 314.31 Min: 314.35 / Avg: 327.94 / Max: 334.31 Min: 339.55 / Avg: 342.56 / Max: 345.85 Min: 362.89 / Avg: 365.27 / Max: 367.12 Min: 402.02 / Avg: 419.19 / Max: 433.8 Min: 442.12 / Avg: 454.41 / Max: 472.86 Min: 546.27 / Avg: 553.78 / Max: 562.1 Min: 620.8 / Avg: 624.93 / Max: 631.28 Min: 699.84 / Avg: 702.57 / Max: 704.24 Min: 768.62 / Avg: 772.09 / Max: 775.37 Min: 796.13 / Avg: 799.67 / Max: 804.84
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 110 220 330 440 550 SE +/- 2.58, N = 3 SE +/- 1.07, N = 3 SE +/- 1.51, N = 3 SE +/- 0.43, N = 3 SE +/- 1.04, N = 3 SE +/- 1.11, N = 3 SE +/- 2.40, N = 3 SE +/- 0.69, N = 3 SE +/- 0.75, N = 3 SE +/- 3.58, N = 3 SE +/- 0.47, N = 3 SE +/- 1.84, N = 3 SE +/- 0.38, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 1.02, N = 3 SE +/- 0.42, N = 3 SE +/- 0.20, N = 3 SE +/- 0.23, N = 3 SE +/- 0.38, N = 3 492.81 439.04 429.76 424.70 343.46 323.52 321.44 301.70 291.15 290.28 268.70 225.22 216.80 185.83 178.83 130.98 107.89 93.54 92.91 88.72 Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 90 180 270 360 450 Min: 487.72 / Avg: 492.81 / Max: 496.11 Min: 437.83 / Avg: 439.04 / Max: 441.17 Min: 427.78 / Avg: 429.76 / Max: 432.72 Min: 423.89 / Avg: 424.7 / Max: 425.33 Min: 341.94 / Avg: 343.46 / Max: 345.44 Min: 321.67 / Avg: 323.52 / Max: 325.5 Min: 316.78 / Avg: 321.44 / Max: 324.72 Min: 300.33 / Avg: 301.7 / Max: 302.44 Min: 290 / Avg: 291.15 / Max: 292.56 Min: 283.11 / Avg: 290.28 / Max: 294 Min: 267.89 / Avg: 268.7 / Max: 269.5 Min: 221.61 / Avg: 225.22 / Max: 227.67 Min: 216.39 / Avg: 216.8 / Max: 217.56 Min: 185.61 / Avg: 185.83 / Max: 186.06 Min: 178.67 / Avg: 178.83 / Max: 179.06 Min: 129 / Avg: 130.98 / Max: 132.39 Min: 107.06 / Avg: 107.89 / Max: 108.39 Min: 93.17 / Avg: 93.54 / Max: 93.83 Min: 92.56 / Avg: 92.91 / Max: 93.33 Min: 88 / Avg: 88.72 / Max: 89.28
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 0.28, N = 3 SE +/- 0.44, N = 3 SE +/- 0.42, N = 3 SE +/- 0.42, N = 3 SE +/- 0.30, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.55, N = 3 SE +/- 0.63, N = 3 SE +/- 0.35, N = 3 SE +/- 0.08, N = 3 SE +/- 0.39, N = 3 SE +/- 0.21, N = 3 SE +/- 0.31, N = 3 SE +/- 0.91, N = 3 SE +/- 0.23, N = 3 SE +/- 0.54, N = 3 SE +/- 1.81, N = 3 SE +/- 1.18, N = 3 165.16 165.38 190.72 191.75 237.28 251.80 255.93 261.47 271.92 289.07 308.59 355.45 382.66 441.88 474.46 603.44 740.99 839.88 901.38 949.06 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 170 340 510 680 850 Min: 164.79 / Avg: 165.16 / Max: 165.74 Min: 164.83 / Avg: 165.38 / Max: 165.73 Min: 190.15 / Avg: 190.72 / Max: 191.59 Min: 191.15 / Avg: 191.75 / Max: 192.56 Min: 236.49 / Avg: 237.28 / Max: 237.91 Min: 251.25 / Avg: 251.8 / Max: 252.27 Min: 255.71 / Avg: 255.93 / Max: 256.26 Min: 261.18 / Avg: 261.47 / Max: 261.64 Min: 270.81 / Avg: 271.92 / Max: 272.54 Min: 287.84 / Avg: 289.07 / Max: 289.95 Min: 307.98 / Avg: 308.59 / Max: 309.18 Min: 355.37 / Avg: 355.45 / Max: 355.61 Min: 381.89 / Avg: 382.66 / Max: 383.15 Min: 441.47 / Avg: 441.88 / Max: 442.18 Min: 473.99 / Avg: 474.46 / Max: 475.04 Min: 601.9 / Avg: 603.44 / Max: 605.04 Min: 740.6 / Avg: 740.99 / Max: 741.39 Min: 839.19 / Avg: 839.88 / Max: 840.95 Min: 899.18 / Avg: 901.38 / Max: 904.98 Min: 947.29 / Avg: 949.06 / Max: 951.3
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 7F72 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7F52 EPYC 7702 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7262 EPYC 7232P EPYC 7272 EPYC 7F32 EPYC 7252 130 260 390 520 650 SE +/- 0.58, N = 3 SE +/- 1.27, N = 3 SE +/- 0.64, N = 3 SE +/- 1.89, N = 3 SE +/- 0.48, N = 3 SE +/- 0.76, N = 3 SE +/- 0.37, N = 3 SE +/- 0.49, N = 3 SE +/- 0.95, N = 3 SE +/- 1.20, N = 3 SE +/- 0.82, N = 3 SE +/- 1.62, N = 3 SE +/- 0.81, N = 3 SE +/- 6.71, N = 9 SE +/- 3.11, N = 9 SE +/- 0.80, N = 3 SE +/- 1.08, N = 3 SE +/- 4.56, N = 3 SE +/- 6.58, N = 3 SE +/- 7.53, N = 9 194.96 200.15 201.48 204.09 206.40 210.54 212.14 212.92 227.28 228.99 233.39 265.33 274.72 288.45 291.31 433.82 463.50 465.36 499.28 604.18 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder EPYC 7F72 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7F52 EPYC 7702 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7262 EPYC 7232P EPYC 7272 EPYC 7F32 EPYC 7252 110 220 330 440 550 Min: 193.94 / Avg: 194.96 / Max: 195.95 Min: 197.97 / Avg: 200.15 / Max: 202.38 Min: 200.38 / Avg: 201.48 / Max: 202.6 Min: 202 / Avg: 204.09 / Max: 207.87 Min: 205.48 / Avg: 206.4 / Max: 207.09 Min: 209.21 / Avg: 210.54 / Max: 211.84 Min: 211.46 / Avg: 212.14 / Max: 212.71 Min: 211.96 / Avg: 212.92 / Max: 213.58 Min: 225.5 / Avg: 227.28 / Max: 228.76 Min: 227.01 / Avg: 228.99 / Max: 231.15 Min: 232.52 / Avg: 233.39 / Max: 235.04 Min: 262.49 / Avg: 265.33 / Max: 268.09 Min: 273.12 / Avg: 274.72 / Max: 275.73 Min: 278.16 / Avg: 288.45 / Max: 341.07 Min: 277.74 / Avg: 291.31 / Max: 308.01 Min: 432.32 / Avg: 433.82 / Max: 435.08 Min: 461.34 / Avg: 463.5 / Max: 464.59 Min: 459.49 / Avg: 465.36 / Max: 474.33 Min: 486.13 / Avg: 499.28 / Max: 505.9 Min: 572.84 / Avg: 604.18 / Max: 632.97 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
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 7552 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7642 EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7F72 EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7532 90K 180K 270K 360K 450K SE +/- 4952.89, N = 3 SE +/- 339.60, N = 3 SE +/- 509.80, N = 3 SE +/- 510.20, N = 3 SE +/- 434.25, N = 3 SE +/- 7856.58, N = 9 SE +/- 108.93, N = 3 SE +/- 1246.76, N = 3 SE +/- 161.37, N = 3 SE +/- 2314.26, N = 3 SE +/- 688.36, N = 3 SE +/- 357.06, N = 3 SE +/- 687.60, N = 3 SE +/- 1086.97, N = 3 SE +/- 227.82, N = 3 SE +/- 403.57, N = 3 SE +/- 189.78, N = 3 SE +/- 583.08, N = 3 SE +/- 904.07, N = 3 SE +/- 1305.38, N = 3 317560 323169 324951 336529 345522 358400 365509 368302 368379 368724 370762 370870 371338 375660 390515 407984 408029 428034 428417 438631 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 7552 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7642 EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7F72 EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7532 80K 160K 240K 320K 400K Min: 311387 / Avg: 317560.33 / Max: 327356 Min: 322554 / Avg: 323169.33 / Max: 323726 Min: 324015 / Avg: 324951.33 / Max: 325769 Min: 335826 / Avg: 336529 / Max: 337521 Min: 344906 / Avg: 345521.67 / Max: 346360 Min: 335480 / Avg: 358400 / Max: 395035 Min: 365334 / Avg: 365509.33 / Max: 365709 Min: 365859 / Avg: 368302 / Max: 369956 Min: 368059 / Avg: 368378.67 / Max: 368577 Min: 366319 / Avg: 368723.67 / Max: 373351 Min: 369781 / Avg: 370762 / Max: 372089 Min: 370484 / Avg: 370869.67 / Max: 371583 Min: 369969 / Avg: 371337.67 / Max: 372138 Min: 373544 / Avg: 375660.33 / Max: 377149 Min: 390095 / Avg: 390515 / Max: 390878 Min: 407286 / Avg: 407984.33 / Max: 408684 Min: 407694 / Avg: 408029.33 / Max: 408351 Min: 427137 / Avg: 428034.33 / Max: 429128 Min: 427168 / Avg: 428417.33 / Max: 430174 Min: 436538 / Avg: 438631 / Max: 441029 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 AI Score EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7662 EPYC 7F52 EPYC 7352 EPYC 7702 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 700 1400 2100 2800 3500 3270 3261 3181 3177 3154 3124 3114 3084 3045 3020 3012 2917 2905 2771 2673 2452 2220 1994 1965 1939
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Training Score EPYC 7F72 EPYC 7542 EPYC 7F52 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 300 600 900 1200 1500 1439 1355 1354 1338 1320 1319 1303 1279 1269 1251 1249 1226 1216 1184 1108 1062 1044 974 949 910
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Inference Score EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 400 800 1200 1600 2000 1928 1912 1908 1906 1861 1858 1843 1831 1811 1796 1746 1658 1638 1502 1422 1268 1176 1029 1020 1016
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 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7502 EPYC 7232P EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7352 EPYC 7262 200 400 600 800 1000 870.72 906.52 945.92 1038.02 1042.95 1043.71 1043.83 1046.72 1052.76 1053.92 1060.62 1072.30 1080.92 1098.03 1100.05 1100.25 1102.07 1105.99 1107.34 1161.30
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 2020-09-17 Model: inception-v3 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.10, N = 12 SE +/- 0.13, N = 3 SE +/- 0.06, N = 12 SE +/- 0.09, N = 15 SE +/- 0.07, N = 3 SE +/- 0.13, N = 15 SE +/- 0.26, N = 15 SE +/- 0.12, N = 15 SE +/- 0.23, N = 12 SE +/- 0.23, N = 15 SE +/- 0.23, N = 15 SE +/- 0.19, N = 15 SE +/- 0.19, N = 15 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 12 SE +/- 0.66, N = 3 SE +/- 0.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.25, N = 12 26.92 27.39 27.51 28.00 28.29 28.32 28.78 29.08 32.53 32.60 33.29 34.18 37.00 37.16 40.25 44.08 45.21 48.96 50.44 51.11 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 2020-09-17 Model: inception-v3 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 26.35 / Avg: 26.92 / Max: 27.47 Min: 27.23 / Avg: 27.39 / Max: 27.64 Min: 27.07 / Avg: 27.51 / Max: 27.89 Min: 27.56 / Avg: 28 / Max: 28.75 Min: 28.21 / Avg: 28.29 / Max: 28.43 Min: 27.64 / Avg: 28.32 / Max: 29.38 Min: 27.78 / Avg: 28.78 / Max: 31.81 Min: 28.43 / Avg: 29.08 / Max: 29.83 Min: 31.11 / Avg: 32.53 / Max: 33.96 Min: 31.3 / Avg: 32.6 / Max: 33.96 Min: 32.08 / Avg: 33.29 / Max: 35.28 Min: 33.19 / Avg: 34.18 / Max: 35.14 Min: 35.97 / Avg: 37 / Max: 38.04 Min: 36.4 / Avg: 37.16 / Max: 37.73 Min: 40.01 / Avg: 40.25 / Max: 40.66 Min: 43.1 / Avg: 44.08 / Max: 45.16 Min: 44.43 / Avg: 45.21 / Max: 46.53 Min: 47.67 / Avg: 48.96 / Max: 50.18 Min: 49.77 / Avg: 50.44 / Max: 50.85 Min: 49.99 / Avg: 51.11 / Max: 52.36 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7272 3 6 9 12 15 SE +/- 0.017, N = 12 SE +/- 0.010, N = 15 SE +/- 0.054, N = 15 SE +/- 0.020, N = 15 SE +/- 0.020, N = 12 SE +/- 0.015, N = 3 SE +/- 0.177, N = 3 SE +/- 0.049, N = 15 SE +/- 0.205, N = 15 SE +/- 0.188, N = 15 SE +/- 0.012, N = 15 SE +/- 0.067, N = 12 SE +/- 0.245, N = 15 SE +/- 0.038, N = 3 SE +/- 0.048, N = 3 SE +/- 0.085, N = 3 SE +/- 0.055, N = 3 SE +/- 0.084, N = 3 SE +/- 0.064, N = 12 SE +/- 0.090, N = 12 5.134 5.262 5.307 5.348 5.450 5.472 5.546 5.712 5.896 6.416 6.528 6.541 6.949 7.068 7.536 7.800 7.927 8.284 8.677 9.640 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 2020-09-17 Model: mobilenet-v1-1.0 EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7272 3 6 9 12 15 Min: 4.99 / Avg: 5.13 / Max: 5.2 Min: 5.21 / Avg: 5.26 / Max: 5.33 Min: 5.16 / Avg: 5.31 / Max: 5.94 Min: 5.26 / Avg: 5.35 / Max: 5.52 Min: 5.34 / Avg: 5.45 / Max: 5.58 Min: 5.45 / Avg: 5.47 / Max: 5.5 Min: 5.33 / Avg: 5.55 / Max: 5.9 Min: 5.4 / Avg: 5.71 / Max: 5.9 Min: 4.97 / Avg: 5.9 / Max: 6.79 Min: 5.32 / Avg: 6.42 / Max: 7.16 Min: 6.45 / Avg: 6.53 / Max: 6.61 Min: 6.25 / Avg: 6.54 / Max: 7.01 Min: 5.7 / Avg: 6.95 / Max: 7.81 Min: 7.01 / Avg: 7.07 / Max: 7.14 Min: 7.49 / Avg: 7.54 / Max: 7.63 Min: 7.63 / Avg: 7.8 / Max: 7.91 Min: 7.83 / Avg: 7.93 / Max: 8.03 Min: 8.15 / Avg: 8.28 / Max: 8.44 Min: 8.16 / Avg: 8.68 / Max: 9.01 Min: 9.14 / Avg: 9.64 / Max: 10.38 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 2020-09-17 Model: MobileNetV2_224 EPYC 7542 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7F32 EPYC 7702 EPYC 7F72 EPYC 7252 EPYC 7272 EPYC 7402P EPYC 7262 EPYC 7F52 EPYC 7352 EPYC 7232P EPYC 7282 EPYC 7302P 2 4 6 8 10 SE +/- 0.012, N = 12 SE +/- 0.034, N = 15 SE +/- 0.014, N = 3 SE +/- 0.071, N = 12 SE +/- 0.087, N = 3 SE +/- 0.028, N = 15 SE +/- 0.023, N = 15 SE +/- 0.074, N = 15 SE +/- 0.068, N = 3 SE +/- 0.025, N = 12 SE +/- 0.071, N = 15 SE +/- 0.039, N = 3 SE +/- 0.067, N = 12 SE +/- 0.074, N = 15 SE +/- 0.036, N = 3 SE +/- 0.012, N = 15 SE +/- 0.121, N = 15 SE +/- 0.027, N = 12 SE +/- 0.106, N = 3 SE +/- 0.063, N = 3 4.674 4.864 4.920 5.027 5.032 5.059 5.077 5.313 5.581 5.630 5.847 5.882 5.899 5.905 5.979 6.099 6.138 6.320 6.353 6.986 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 2020-09-17 Model: MobileNetV2_224 EPYC 7542 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7F32 EPYC 7702 EPYC 7F72 EPYC 7252 EPYC 7272 EPYC 7402P EPYC 7262 EPYC 7F52 EPYC 7352 EPYC 7232P EPYC 7282 EPYC 7302P 3 6 9 12 15 Min: 4.61 / Avg: 4.67 / Max: 4.76 Min: 4.63 / Avg: 4.86 / Max: 5.19 Min: 4.9 / Avg: 4.92 / Max: 4.95 Min: 4.7 / Avg: 5.03 / Max: 5.59 Min: 4.88 / Avg: 5.03 / Max: 5.18 Min: 4.82 / Avg: 5.06 / Max: 5.19 Min: 4.83 / Avg: 5.08 / Max: 5.22 Min: 4.77 / Avg: 5.31 / Max: 5.9 Min: 5.51 / Avg: 5.58 / Max: 5.72 Min: 5.48 / Avg: 5.63 / Max: 5.83 Min: 5.51 / Avg: 5.85 / Max: 6.23 Min: 5.83 / Avg: 5.88 / Max: 5.96 Min: 5.56 / Avg: 5.9 / Max: 6.3 Min: 5.45 / Avg: 5.91 / Max: 6.45 Min: 5.91 / Avg: 5.98 / Max: 6.03 Min: 6 / Avg: 6.1 / Max: 6.16 Min: 5.41 / Avg: 6.14 / Max: 6.86 Min: 6.18 / Avg: 6.32 / Max: 6.49 Min: 6.14 / Avg: 6.35 / Max: 6.46 Min: 6.86 / Avg: 6.99 / Max: 7.06 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 2020-09-17 Model: resnet-v2-50 EPYC 7542 EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7F72 EPYC 7F52 EPYC 7402P EPYC 7702 EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7262 EPYC 7272 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.09, N = 12 SE +/- 0.52, N = 3 SE +/- 0.23, N = 15 SE +/- 0.13, N = 15 SE +/- 0.18, N = 15 SE +/- 0.02, N = 3 SE +/- 0.08, N = 12 SE +/- 0.20, N = 15 SE +/- 0.50, N = 15 SE +/- 0.10, N = 15 SE +/- 0.34, N = 15 SE +/- 0.27, N = 12 SE +/- 0.20, N = 3 SE +/- 0.52, N = 15 SE +/- 0.35, N = 3 SE +/- 0.20, N = 3 SE +/- 0.34, N = 3 SE +/- 0.09, N = 12 SE +/- 0.29, N = 3 SE +/- 0.21, N = 12 28.86 29.88 29.99 30.04 30.09 30.26 30.49 32.38 33.21 35.13 35.49 35.87 37.04 37.37 40.11 40.76 41.01 43.62 45.16 45.29 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 2020-09-17 Model: resnet-v2-50 EPYC 7542 EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7F72 EPYC 7F52 EPYC 7402P EPYC 7702 EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7262 EPYC 7272 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 28.2 / Avg: 28.86 / Max: 29.24 Min: 29.32 / Avg: 29.88 / Max: 30.92 Min: 28.55 / Avg: 29.99 / Max: 31.88 Min: 29.11 / Avg: 30.04 / Max: 30.8 Min: 29.38 / Avg: 30.09 / Max: 31.43 Min: 30.23 / Avg: 30.26 / Max: 30.3 Min: 30.13 / Avg: 30.49 / Max: 30.89 Min: 31.46 / Avg: 32.38 / Max: 33.54 Min: 30.33 / Avg: 33.21 / Max: 36.17 Min: 34.59 / Avg: 35.13 / Max: 35.77 Min: 33.3 / Avg: 35.49 / Max: 37.55 Min: 34.52 / Avg: 35.87 / Max: 37.57 Min: 36.82 / Avg: 37.04 / Max: 37.43 Min: 33.73 / Avg: 37.37 / Max: 40.26 Min: 39.57 / Avg: 40.11 / Max: 40.76 Min: 40.4 / Avg: 40.76 / Max: 41.09 Min: 40.35 / Avg: 41.01 / Max: 41.47 Min: 42.99 / Avg: 43.62 / Max: 44.1 Min: 44.79 / Avg: 45.16 / Max: 45.73 Min: 44.17 / Avg: 45.29 / Max: 46.55 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 EPYC 7542 EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7402P EPYC 7F32 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7282 EPYC 7352 EPYC 7262 EPYC 7F52 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7272 3 6 9 12 15 SE +/- 0.188, N = 12 SE +/- 0.188, N = 15 SE +/- 0.145, N = 3 SE +/- 0.301, N = 12 SE +/- 0.050, N = 3 SE +/- 0.263, N = 15 SE +/- 0.122, N = 15 SE +/- 0.082, N = 3 SE +/- 0.188, N = 15 SE +/- 0.175, N = 15 SE +/- 0.300, N = 15 SE +/- 0.244, N = 12 SE +/- 0.144, N = 3 SE +/- 0.130, N = 15 SE +/- 0.100, N = 3 SE +/- 0.377, N = 15 SE +/- 0.125, N = 3 SE +/- 0.201, N = 3 SE +/- 0.174, N = 12 SE +/- 0.168, N = 12 8.802 9.113 9.173 9.300 9.489 9.930 10.000 10.034 10.048 10.073 10.125 10.193 10.345 10.433 11.122 11.454 11.582 11.608 11.859 12.611 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 2020-09-17 Model: SqueezeNetV1.0 EPYC 7542 EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7402P EPYC 7F32 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7282 EPYC 7352 EPYC 7262 EPYC 7F52 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7272 4 8 12 16 20 Min: 7.85 / Avg: 8.8 / Max: 10.38 Min: 8.35 / Avg: 9.11 / Max: 11.28 Min: 8.88 / Avg: 9.17 / Max: 9.33 Min: 8.31 / Avg: 9.3 / Max: 11.87 Min: 9.42 / Avg: 9.49 / Max: 9.59 Min: 8.95 / Avg: 9.93 / Max: 13.23 Min: 9.38 / Avg: 10 / Max: 10.74 Min: 9.93 / Avg: 10.03 / Max: 10.2 Min: 8.94 / Avg: 10.05 / Max: 11.4 Min: 9.24 / Avg: 10.07 / Max: 11.28 Min: 8.73 / Avg: 10.12 / Max: 12.48 Min: 9.1 / Avg: 10.19 / Max: 11.94 Min: 10.08 / Avg: 10.34 / Max: 10.57 Min: 9.2 / Avg: 10.43 / Max: 11.2 Min: 10.97 / Avg: 11.12 / Max: 11.31 Min: 9.93 / Avg: 11.45 / Max: 15.85 Min: 11.4 / Avg: 11.58 / Max: 11.82 Min: 11.21 / Avg: 11.61 / Max: 11.81 Min: 10.97 / Avg: 11.86 / Max: 13.05 Min: 11.71 / Avg: 12.61 / Max: 13.62 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
BRL-CAD BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K 635485 627953 521818 515657 401222 376690 363429 345756 339539 317830 295105 259728 218441 203319 198305 157819 116858 105887 104822 103756 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
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 7F72 EPYC 7F52 EPYC 7F32 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7302P EPYC 7252 EPYC 7532 EPYC 7262 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7352 EPYC 7662 70 140 210 280 350 SE +/- 0.66, N = 3 SE +/- 0.78, N = 3 SE +/- 0.50, N = 3 SE +/- 0.81, N = 3 SE +/- 2.14, N = 3 SE +/- 0.65, N = 3 SE +/- 0.56, N = 3 SE +/- 0.67, N = 3 SE +/- 0.43, N = 3 SE +/- 0.15, N = 3 SE +/- 0.73, N = 3 SE +/- 0.59, N = 3 SE +/- 1.33, N = 3 SE +/- 0.89, N = 3 SE +/- 0.21, N = 3 SE +/- 0.73, N = 3 SE +/- 0.89, N = 3 SE +/- 1.49, N = 3 SE +/- 0.34, N = 3 SE +/- 0.69, N = 3 295.26 298.47 308.52 312.18 316.06 323.28 323.34 325.26 325.66 327.87 328.27 329.31 330.05 334.67 335.95 336.45 336.92 337.00 337.30 339.37 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7302P EPYC 7252 EPYC 7532 EPYC 7262 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7352 EPYC 7662 60 120 180 240 300 Min: 294.29 / Avg: 295.26 / Max: 296.51 Min: 297.17 / Avg: 298.47 / Max: 299.86 Min: 307.64 / Avg: 308.52 / Max: 309.36 Min: 310.68 / Avg: 312.18 / Max: 313.44 Min: 312.44 / Avg: 316.06 / Max: 319.84 Min: 322.49 / Avg: 323.28 / Max: 324.58 Min: 322.33 / Avg: 323.34 / Max: 324.28 Min: 324.12 / Avg: 325.26 / Max: 326.43 Min: 324.97 / Avg: 325.66 / Max: 326.46 Min: 327.57 / Avg: 327.87 / Max: 328.02 Min: 327.19 / Avg: 328.27 / Max: 329.67 Min: 328.38 / Avg: 329.31 / Max: 330.4 Min: 328.14 / Avg: 330.05 / Max: 332.6 Min: 332.93 / Avg: 334.67 / Max: 335.9 Min: 335.53 / Avg: 335.95 / Max: 336.24 Min: 335.49 / Avg: 336.45 / Max: 337.89 Min: 335.33 / Avg: 336.92 / Max: 338.41 Min: 335.1 / Avg: 337 / Max: 339.94 Min: 336.62 / Avg: 337.3 / Max: 337.69 Min: 338.14 / Avg: 339.37 / Max: 340.54
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7262 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7232P 70 140 210 280 350 SE +/- 0.25, N = 3 SE +/- 0.52, N = 3 SE +/- 0.60, N = 3 SE +/- 0.74, N = 3 SE +/- 0.70, N = 3 SE +/- 0.94, N = 3 SE +/- 0.39, N = 3 SE +/- 1.20, N = 3 SE +/- 0.37, N = 3 SE +/- 0.71, N = 3 SE +/- 0.21, N = 3 SE +/- 1.91, N = 3 SE +/- 1.18, N = 3 SE +/- 0.31, N = 3 SE +/- 1.72, N = 3 SE +/- 0.49, N = 3 SE +/- 1.55, N = 3 SE +/- 1.06, N = 3 SE +/- 0.78, N = 3 SE +/- 0.59, N = 3 338.78 334.49 318.42 304.52 302.31 301.92 301.55 300.32 299.52 299.00 296.95 295.56 294.22 293.14 292.04 290.46 286.69 285.87 285.63 262.38 Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7262 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7232P 60 120 180 240 300 Min: 338.28 / Avg: 338.78 / Max: 339.09 Min: 333.83 / Avg: 334.49 / Max: 335.52 Min: 317.22 / Avg: 318.42 / Max: 319.05 Min: 303.14 / Avg: 304.52 / Max: 305.68 Min: 301.26 / Avg: 302.31 / Max: 303.63 Min: 300.3 / Avg: 301.92 / Max: 303.55 Min: 300.83 / Avg: 301.55 / Max: 302.18 Min: 298.01 / Avg: 300.32 / Max: 302.05 Min: 298.99 / Avg: 299.52 / Max: 300.22 Min: 297.69 / Avg: 299 / Max: 300.14 Min: 296.74 / Avg: 296.95 / Max: 297.36 Min: 293.07 / Avg: 295.56 / Max: 299.32 Min: 292.64 / Avg: 294.22 / Max: 296.53 Min: 292.52 / Avg: 293.14 / Max: 293.46 Min: 288.63 / Avg: 292.04 / Max: 294.16 Min: 289.5 / Avg: 290.46 / Max: 291.13 Min: 283.82 / Avg: 286.69 / Max: 289.14 Min: 284.04 / Avg: 285.87 / Max: 287.7 Min: 284.14 / Avg: 285.63 / Max: 286.75 Min: 261.34 / Avg: 262.38 / Max: 263.38
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.37, N = 3 SE +/- 0.21, N = 3 SE +/- 0.75, N = 3 SE +/- 0.49, N = 3 SE +/- 0.37, N = 3 SE +/- 1.29, N = 3 SE +/- 1.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.92, N = 3 SE +/- 0.28, N = 3 SE +/- 0.08, N = 3 SE +/- 0.76, N = 3 SE +/- 1.54, N = 3 SE +/- 0.66, N = 3 SE +/- 0.71, N = 3 SE +/- 1.13, N = 3 SE +/- 0.91, N = 3 SE +/- 1.46, N = 3 112.70 112.75 130.69 133.19 165.59 176.75 179.24 186.22 197.80 198.29 217.18 249.36 264.58 314.32 339.18 431.29 503.70 586.46 625.57 632.59 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 Min: 112.45 / Avg: 112.7 / Max: 112.92 Min: 112.54 / Avg: 112.75 / Max: 112.87 Min: 130.1 / Avg: 130.69 / Max: 131.36 Min: 132.79 / Avg: 133.19 / Max: 133.49 Min: 164.16 / Avg: 165.59 / Max: 166.7 Min: 176.01 / Avg: 176.75 / Max: 177.67 Min: 178.66 / Avg: 179.24 / Max: 179.92 Min: 184.11 / Avg: 186.22 / Max: 188.57 Min: 196.12 / Avg: 197.8 / Max: 200.15 Min: 198.23 / Avg: 198.29 / Max: 198.32 Min: 215.35 / Avg: 217.18 / Max: 218.25 Min: 248.79 / Avg: 249.36 / Max: 249.66 Min: 264.44 / Avg: 264.58 / Max: 264.72 Min: 313.32 / Avg: 314.32 / Max: 315.81 Min: 336.13 / Avg: 339.18 / Max: 341.08 Min: 430.28 / Avg: 431.29 / Max: 432.54 Min: 502.58 / Avg: 503.7 / Max: 505.02 Min: 584.48 / Avg: 586.46 / Max: 588.41 Min: 624.29 / Avg: 625.57 / Max: 627.33 Min: 630.83 / Avg: 632.59 / Max: 635.48
LZMA Compression This test measures the time needed to compress a file using LZMA compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7232P 70 140 210 280 350 SE +/- 0.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.16, N = 3 SE +/- 0.41, N = 3 SE +/- 0.42, N = 3 SE +/- 0.22, N = 3 SE +/- 0.18, N = 3 SE +/- 0.43, N = 3 SE +/- 0.56, N = 3 SE +/- 0.13, N = 3 SE +/- 0.38, N = 3 SE +/- 0.19, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 SE +/- 0.79, N = 3 SE +/- 0.40, N = 3 SE +/- 0.44, N = 3 SE +/- 0.26, N = 3 SE +/- 0.40, N = 3 SE +/- 0.27, N = 3 250.34 253.15 262.15 280.26 283.69 283.80 283.83 284.17 284.19 285.86 287.49 287.70 287.72 288.66 289.39 295.00 299.40 299.48 303.03 317.25 1. (CXX) g++ options: -O2 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7232P 60 120 180 240 300 Min: 250.1 / Avg: 250.34 / Max: 250.78 Min: 252.34 / Avg: 253.15 / Max: 253.74 Min: 261.93 / Avg: 262.15 / Max: 262.47 Min: 279.55 / Avg: 280.26 / Max: 280.97 Min: 283.03 / Avg: 283.69 / Max: 284.46 Min: 283.5 / Avg: 283.8 / Max: 284.24 Min: 283.49 / Avg: 283.83 / Max: 284.12 Min: 283.53 / Avg: 284.17 / Max: 284.98 Min: 283.27 / Avg: 284.18 / Max: 285.21 Min: 285.61 / Avg: 285.86 / Max: 286.04 Min: 287.04 / Avg: 287.49 / Max: 288.24 Min: 287.32 / Avg: 287.7 / Max: 287.89 Min: 286.99 / Avg: 287.72 / Max: 288.45 Min: 288.26 / Avg: 288.66 / Max: 288.94 Min: 287.82 / Avg: 289.39 / Max: 290.18 Min: 294.38 / Avg: 295 / Max: 295.76 Min: 298.85 / Avg: 299.4 / Max: 300.28 Min: 298.98 / Avg: 299.48 / Max: 299.82 Min: 302.31 / Avg: 303.03 / Max: 303.67 Min: 316.76 / Avg: 317.25 / Max: 317.67 1. (CXX) g++ options: -O2
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7262 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 1200 2400 3600 4800 6000 SE +/- 16.76, N = 3 SE +/- 4.57, N = 3 SE +/- 4.53, N = 3 SE +/- 15.88, N = 3 SE +/- 12.00, N = 3 SE +/- 4.51, N = 3 SE +/- 0.94, N = 3 SE +/- 4.72, N = 3 SE +/- 11.98, N = 3 SE +/- 6.76, N = 3 SE +/- 1.56, N = 3 SE +/- 8.18, N = 3 SE +/- 3.03, N = 3 SE +/- 7.15, N = 3 SE +/- 13.80, N = 3 SE +/- 6.37, N = 3 SE +/- 12.09, N = 3 SE +/- 18.75, N = 3 SE +/- 9.01, N = 3 SE +/- 9.23, N = 3 5705.4 5671.4 5661.0 5108.5 5107.6 5061.8 5061.3 5049.7 5040.7 5028.0 5024.5 5019.6 5013.4 5002.8 4980.0 4812.5 4772.9 4732.2 4732.0 4728.4 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7262 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 1000 2000 3000 4000 5000 Min: 5672.1 / Avg: 5705.43 / Max: 5725.2 Min: 5662.3 / Avg: 5671.43 / Max: 5676.2 Min: 5653.7 / Avg: 5660.97 / Max: 5669.3 Min: 5089.3 / Avg: 5108.5 / Max: 5140 Min: 5084 / Avg: 5107.6 / Max: 5123.2 Min: 5055.7 / Avg: 5061.8 / Max: 5070.6 Min: 5059.5 / Avg: 5061.33 / Max: 5062.6 Min: 5044.1 / Avg: 5049.73 / Max: 5059.1 Min: 5022.3 / Avg: 5040.73 / Max: 5063.2 Min: 5017 / Avg: 5027.97 / Max: 5040.3 Min: 5021.7 / Avg: 5024.5 / Max: 5027.1 Min: 5010.6 / Avg: 5019.57 / Max: 5035.9 Min: 5008.1 / Avg: 5013.37 / Max: 5018.6 Min: 4988.8 / Avg: 5002.77 / Max: 5012.4 Min: 4955.2 / Avg: 4980 / Max: 5002.9 Min: 4800.8 / Avg: 4812.5 / Max: 4822.7 Min: 4749 / Avg: 4772.93 / Max: 4787.9 Min: 4704 / Avg: 4732.2 / Max: 4767.7 Min: 4714.4 / Avg: 4732.03 / Max: 4744.1 Min: 4718 / Avg: 4728.4 / Max: 4746.8 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F32 EPYC 7F52 EPYC 7642 EPYC 7302P EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7F72 EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7352 EPYC 7452 EPYC 7532 50K 100K 150K 200K 250K SE +/- 489.67, N = 3 SE +/- 83.95, N = 3 SE +/- 3084.79, N = 12 SE +/- 330.74, N = 3 SE +/- 329.04, N = 3 SE +/- 2682.21, N = 12 SE +/- 69.83, N = 3 SE +/- 323.85, N = 3 SE +/- 315.77, N = 3 SE +/- 257.35, N = 3 SE +/- 1306.16, N = 3 SE +/- 267.63, N = 3 SE +/- 127.33, N = 3 SE +/- 851.31, N = 3 SE +/- 380.24, N = 3 SE +/- 129.37, N = 3 SE +/- 324.32, N = 3 SE +/- 2045.88, N = 3 SE +/- 206.99, N = 3 SE +/- 957.14, N = 3 161679 162845 165786 167810 172494 177549 183027 183100 183925 184509 184637 185308 185776 187798 195590 203437 203772 209600 213475 218984 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: 100 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F32 EPYC 7F52 EPYC 7642 EPYC 7302P EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7F72 EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7352 EPYC 7452 EPYC 7532 40K 80K 120K 160K 200K Min: 160807 / Avg: 161679.33 / Max: 162501 Min: 162677 / Avg: 162844.67 / Max: 162936 Min: 155868 / Avg: 165785.58 / Max: 190504 Min: 167261 / Avg: 167809.67 / Max: 168404 Min: 171844 / Avg: 172494 / Max: 172908 Min: 157259 / Avg: 177549 / Max: 190775 Min: 182924 / Avg: 183026.67 / Max: 183160 Min: 182465 / Avg: 183099.67 / Max: 183529 Min: 183587 / Avg: 183925 / Max: 184556 Min: 184055 / Avg: 184509 / Max: 184946 Min: 182918 / Avg: 184637 / Max: 187200 Min: 184775 / Avg: 185308 / Max: 185617 Min: 185553 / Avg: 185776 / Max: 185994 Min: 186460 / Avg: 187798.33 / Max: 189379 Min: 195038 / Avg: 195590 / Max: 196319 Min: 203278 / Avg: 203436.67 / Max: 203693 Min: 203233 / Avg: 203772 / Max: 204354 Min: 207151 / Avg: 209599.67 / Max: 213663 Min: 213201 / Avg: 213475.33 / Max: 213881 Min: 217558 / Avg: 218984 / Max: 220803 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 7F72 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7452 EPYC 7F52 EPYC 7352 EPYC 7282 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7F32 EPYC 7702 EPYC 7232P EPYC 7252 EPYC 7262 200 400 600 800 1000 619.74 667.86 672.93 679.00 682.90 686.79 689.57 694.08 699.50 699.94 713.90 725.77 734.24 737.06 755.11 762.90 770.65 796.72 807.88 816.12
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.
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 64 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7272 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 300 600 900 1200 1500 SE +/- 0.77, N = 4 SE +/- 0.50, N = 3 SE +/- 1.18, N = 3 SE +/- 0.83, N = 3 SE +/- 2.11, N = 3 SE +/- 0.24, N = 5 SE +/- 1.44, N = 3 SE +/- 0.30, N = 4 SE +/- 1.36, N = 3 SE +/- 1.63, N = 3 SE +/- 1.58, N = 3 SE +/- 1.25, N = 3 SE +/- 3.47, N = 3 SE +/- 2.62, N = 3 SE +/- 1.50, N = 3 SE +/- 1.23, N = 3 SE +/- 8.56, N = 3 SE +/- 4.63, N = 3 SE +/- 2.79, N = 3 SE +/- 3.68, N = 3 1240 1227 1155 1114 1105 1103 1097 1090 1086 1060 1041 1021 1015 1002 993 961 889 876 833 743 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 64 EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7272 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 200 400 600 800 1000 Min: 1237.62 / Avg: 1239.93 / Max: 1240.69 Min: 1226.99 / Avg: 1227.5 / Max: 1228.5 Min: 1153.4 / Avg: 1155.18 / Max: 1157.41 Min: 1112.35 / Avg: 1114 / Max: 1114.83 Min: 1101.32 / Avg: 1104.98 / Max: 1108.65 Min: 1102.54 / Avg: 1102.78 / Max: 1103.75 Min: 1094.09 / Avg: 1096.9 / Max: 1098.9 Min: 1089.32 / Avg: 1090.22 / Max: 1090.51 Min: 1083.42 / Avg: 1085.78 / Max: 1088.14 Min: 1057.08 / Avg: 1059.7 / Max: 1062.7 Min: 1038.42 / Avg: 1040.95 / Max: 1043.84 Min: 1019.37 / Avg: 1021.11 / Max: 1023.54 Min: 1008.06 / Avg: 1014.91 / Max: 1019.37 Min: 998 / Avg: 1002.35 / Max: 1007.05 Min: 990.1 / Avg: 993.05 / Max: 995.02 Min: 959.69 / Avg: 960.93 / Max: 963.39 Min: 872.6 / Avg: 888.79 / Max: 901.71 Min: 871.84 / Avg: 876.47 / Max: 885.74 Min: 830.56 / Avg: 833.35 / Max: 838.93 Min: 736.92 / Avg: 742.98 / Max: 749.63 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
RAMspeed SMP This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer EPYC 7302P EPYC 7552 EPYC 7F72 EPYC 7452 EPYC 7F32 EPYC 7352 EPYC 7262 EPYC 7402P EPYC 7702 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7F52 EPYC 7232P EPYC 7502P EPYC 7642 EPYC 7542 EPYC 7532 EPYC 7662 EPYC 7502 9K 18K 27K 36K 45K SE +/- 105.39, N = 3 SE +/- 42.49, N = 3 SE +/- 285.80, N = 3 SE +/- 608.18, N = 4 SE +/- 523.42, N = 3 SE +/- 492.75, N = 15 SE +/- 1332.08, N = 15 SE +/- 1166.90, N = 15 SE +/- 1241.24, N = 15 SE +/- 1073.34, N = 15 SE +/- 1025.97, N = 15 SE +/- 1264.73, N = 15 SE +/- 1767.24, N = 12 SE +/- 1470.68, N = 15 SE +/- 1500.19, N = 15 SE +/- 1453.80, N = 15 SE +/- 874.93, N = 15 SE +/- 780.64, N = 15 SE +/- 795.56, N = 15 SE +/- 373.43, N = 13 42792.16 42701.74 42539.39 42122.70 41386.61 41379.54 39802.05 39574.47 39537.66 38461.11 37826.40 37214.09 36546.04 36365.94 35252.61 34934.58 32096.98 31770.21 31516.89 31137.04 1. (CC) gcc options: -O3 -march=native Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer EPYC 7302P EPYC 7552 EPYC 7F72 EPYC 7452 EPYC 7F32 EPYC 7352 EPYC 7262 EPYC 7402P EPYC 7702 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7F52 EPYC 7232P EPYC 7502P EPYC 7642 EPYC 7542 EPYC 7532 EPYC 7662 EPYC 7502 7K 14K 21K 28K 35K Min: 42583.25 / Avg: 42792.16 / Max: 42920.88 Min: 42627.17 / Avg: 42701.74 / Max: 42774.31 Min: 42011.63 / Avg: 42539.39 / Max: 42993.4 Min: 40298.4 / Avg: 42122.7 / Max: 42759.19 Min: 40397.09 / Avg: 41386.61 / Max: 42177.24 Min: 36500.03 / Avg: 41379.54 / Max: 42631.69 Min: 30778.85 / Avg: 39802.05 / Max: 42975.71 Min: 30763.21 / Avg: 39574.47 / Max: 42896.97 Min: 30632.91 / Avg: 39537.66 / Max: 42785.08 Min: 31707.88 / Avg: 38461.11 / Max: 42120.8 Min: 30450.13 / Avg: 37826.4 / Max: 41664.04 Min: 30700.49 / Avg: 37214.09 / Max: 42664.5 Min: 31012.57 / Avg: 36546.04 / Max: 43442.72 Min: 30678.26 / Avg: 36365.94 / Max: 42678.53 Min: 30703.43 / Avg: 35252.61 / Max: 42875.53 Min: 30463.06 / Avg: 34934.58 / Max: 42519.99 Min: 30840.22 / Avg: 32096.98 / Max: 43103.18 Min: 30621.49 / Avg: 31770.21 / Max: 41410.02 Min: 30659.38 / Avg: 31516.89 / Max: 42653.89 Min: 30718.74 / Avg: 31137.04 / Max: 35616.86 1. (CC) gcc options: -O3 -march=native
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 7662 EPYC 7702 EPYC 7552 EPYC 7F52 EPYC 7F32 EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7282 EPYC 7642 EPYC 7232P EPYC 7F72 EPYC 7252 EPYC 7542 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7532 40K 80K 120K 160K 200K SE +/- 118.55, N = 3 SE +/- 207.27, N = 3 SE +/- 5113.88, N = 12 SE +/- 158.88, N = 3 SE +/- 259.29, N = 3 SE +/- 74.55, N = 3 SE +/- 49.13, N = 3 SE +/- 104.74, N = 3 SE +/- 18.90, N = 3 SE +/- 4669.23, N = 12 SE +/- 1138.71, N = 3 SE +/- 1785.82, N = 3 SE +/- 872.40, N = 3 SE +/- 309.87, N = 3 SE +/- 2784.79, N = 3 SE +/- 177.34, N = 3 SE +/- 119.50, N = 3 SE +/- 283.68, N = 3 SE +/- 65.84, N = 3 SE +/- 2602.65, N = 4 122716 123652 132666 138300 138475 147070 148683 149533 150213 150608 151504 151858 152406 157348 161347 163216 163571 169060 170209 182245 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 7662 EPYC 7702 EPYC 7552 EPYC 7F52 EPYC 7F32 EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7282 EPYC 7642 EPYC 7232P EPYC 7F72 EPYC 7252 EPYC 7542 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7532 30K 60K 90K 120K 150K Min: 122555 / Avg: 122715.67 / Max: 122947 Min: 123343 / Avg: 123652.33 / Max: 124046 Min: 119362 / Avg: 132665.67 / Max: 167664 Min: 138096 / Avg: 138300 / Max: 138613 Min: 137991 / Avg: 138475.33 / Max: 138878 Min: 146991 / Avg: 147070 / Max: 147219 Min: 148596 / Avg: 148683.33 / Max: 148766 Min: 149413 / Avg: 149533.33 / Max: 149742 Min: 150185 / Avg: 150213 / Max: 150249 Min: 121179 / Avg: 150607.67 / Max: 168454 Min: 150249 / Avg: 151503.67 / Max: 153777 Min: 149741 / Avg: 151858.33 / Max: 155408 Min: 150661 / Avg: 152405.67 / Max: 153296 Min: 156779 / Avg: 157348.33 / Max: 157845 Min: 156030 / Avg: 161346.67 / Max: 165442 Min: 163025 / Avg: 163215.67 / Max: 163570 Min: 163333 / Avg: 163571.33 / Max: 163706 Min: 168535 / Avg: 169059.67 / Max: 169509 Min: 170097 / Avg: 170209.33 / Max: 170325 Min: 175128 / Avg: 182244.75 / Max: 187464 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 70M 140M 210M 280M 350M SE +/- 957923.37, N = 3 SE +/- 134083.43, N = 3 SE +/- 474278.12, N = 3 SE +/- 606796.66, N = 3 SE +/- 135788.68, N = 3 SE +/- 249228.70, N = 3 SE +/- 115844.25, N = 3 SE +/- 19204.56, N = 3 SE +/- 259915.46, N = 3 SE +/- 3735800.36, N = 3 SE +/- 149246.40, N = 3 SE +/- 122611.09, N = 3 SE +/- 208309.65, N = 3 SE +/- 128106.17, N = 3 SE +/- 326600.42, N = 3 SE +/- 178481.76, N = 3 SE +/- 168177.47, N = 3 SE +/- 656575.68, N = 3 SE +/- 3346394.39, N = 3 SE +/- 159242.75, N = 3 338683643.76 338580247.88 321630965.00 295999448.27 295319267.70 291736111.66 291468543.97 291131291.45 291064294.15 288397184.91 287471325.10 287328501.00 287157431.51 286590944.39 286220634.19 278269504.20 278208760.91 276849835.77 274235020.34 274090977.81 1. (CC) gcc options: -O3 -march=native -lm Result Confidence
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 60M 120M 180M 240M 300M Min: 336869842.29 / Avg: 338683643.76 / Max: 340124814.79 Min: 338327615.57 / Avg: 338580247.88 / Max: 338784460.06 Min: 320981498.89 / Avg: 321630965 / Max: 322554417.13 Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85 Min: 295083179.89 / Avg: 295319267.7 / Max: 295553555.36 Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08 Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43 Min: 291097868.07 / Avg: 291131291.45 / Max: 291164392.26 Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67 Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513 Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37 Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24 Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5 Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79 Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92 Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39 Min: 277993425.1 / Avg: 278208760.91 / Max: 278540200.69 Min: 275537498.15 / Avg: 276849835.77 / Max: 277546034 Min: 267542253.13 / Avg: 274235020.34 / Max: 277596120.27 Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11 1. (CC) gcc options: -O3 -march=native -lm
RAMspeed SMP This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer EPYC 7402P EPYC 7552 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7452 EPYC 7F52 EPYC 7502 EPYC 7642 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7532 8K 16K 24K 32K 40K SE +/- 190.07, N = 3 SE +/- 281.32, N = 3 SE +/- 259.53, N = 3 SE +/- 595.11, N = 3 SE +/- 453.53, N = 6 SE +/- 805.76, N = 15 SE +/- 1005.60, N = 15 SE +/- 1027.10, N = 12 SE +/- 1342.99, N = 15 SE +/- 1423.80, N = 15 SE +/- 1304.15, N = 12 SE +/- 1393.40, N = 15 SE +/- 1361.34, N = 15 SE +/- 1117.17, N = 15 SE +/- 1184.84, N = 15 SE +/- 1193.70, N = 15 SE +/- 809.42, N = 15 SE +/- 991.03, N = 15 SE +/- 21.16, N = 3 SE +/- 7.75, N = 3 39500.82 39290.98 39129.02 38287.21 38204.50 37752.01 36075.79 35780.10 34824.99 34675.89 34333.32 33193.10 32972.78 31998.12 31886.75 31400.38 30650.76 30300.97 28922.64 28833.07 1. (CC) gcc options: -O3 -march=native Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer EPYC 7402P EPYC 7552 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7452 EPYC 7F52 EPYC 7502 EPYC 7642 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7532 7K 14K 21K 28K 35K Min: 39229.86 / Avg: 39500.82 / Max: 39867.21 Min: 38805.87 / Avg: 39290.98 / Max: 39780.38 Min: 38835.57 / Avg: 39129.02 / Max: 39646.52 Min: 37254.45 / Avg: 38287.21 / Max: 39315.97 Min: 36621.29 / Avg: 38204.5 / Max: 39661.73 Min: 28871.15 / Avg: 37752.01 / Max: 40001.21 Min: 28858.64 / Avg: 36075.79 / Max: 39965.31 Min: 28785.93 / Avg: 35780.1 / Max: 38995.76 Min: 28802.15 / Avg: 34824.99 / Max: 39755.82 Min: 28796.99 / Avg: 34675.89 / Max: 39936.31 Min: 28806.96 / Avg: 34333.32 / Max: 39623.27 Min: 28912.46 / Avg: 33193.1 / Max: 40197.83 Min: 28842.8 / Avg: 32972.78 / Max: 40047.41 Min: 29021.31 / Avg: 31998.12 / Max: 39806.02 Min: 28786.75 / Avg: 31886.75 / Max: 40051.06 Min: 28556.23 / Avg: 31400.38 / Max: 38984.63 Min: 28877.33 / Avg: 30650.76 / Max: 37858.63 Min: 28779.54 / Avg: 30300.97 / Max: 39971.89 Min: 28897.62 / Avg: 28922.64 / Max: 28964.71 Min: 28817.58 / Avg: 28833.07 / Max: 28841.12 1. (CC) gcc options: -O3 -march=native
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 7402P EPYC 7F72 EPYC 7542 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7532 200K 400K 600K 800K 1000K SE +/- 4315.53, N = 3 SE +/- 6259.81, N = 11 SE +/- 40675.14, N = 15 SE +/- 4423.99, N = 3 SE +/- 2819.70, N = 3 SE +/- 9257.15, N = 3 SE +/- 1524.48, N = 3 SE +/- 8602.32, N = 3 SE +/- 5220.90, N = 8 SE +/- 7046.75, N = 3 SE +/- 4574.26, N = 3 SE +/- 6337.53, N = 3 SE +/- 416.48, N = 3 SE +/- 346.34, N = 3 SE +/- 920.11, N = 3 SE +/- 161.22, N = 3 SE +/- 386.83, N = 3 SE +/- 320.44, N = 3 SE +/- 202.26, N = 3 SE +/- 1164.99, N = 3 787488 712718 674066 673423 640966 627525 590994 574354 506118 469574 464241 456675 358699 335316 328810 310241 298290 297390 284086 283541 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill EPYC 7402P EPYC 7F72 EPYC 7542 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7532 140K 280K 420K 560K 700K Min: 778964 / Avg: 787487.67 / Max: 792925 Min: 685758 / Avg: 712718 / Max: 751042 Min: 381485 / Avg: 674066.47 / Max: 841490 Min: 664708 / Avg: 673423 / Max: 679104 Min: 635510 / Avg: 640965.67 / Max: 644930 Min: 609012 / Avg: 627525 / Max: 636971 Min: 588002 / Avg: 590994.33 / Max: 592997 Min: 558593 / Avg: 574353.67 / Max: 588209 Min: 481898 / Avg: 506117.63 / Max: 523042 Min: 461485 / Avg: 469573.67 / Max: 483613 Min: 459420 / Avg: 464241 / Max: 473385 Min: 448311 / Avg: 456675.33 / Max: 469105 Min: 357882 / Avg: 358698.67 / Max: 359249 Min: 334741 / Avg: 335316 / Max: 335938 Min: 327023 / Avg: 328810 / Max: 330084 Min: 310045 / Avg: 310241.33 / Max: 310561 Min: 297519 / Avg: 298290.33 / Max: 298728 Min: 297028 / Avg: 297390 / Max: 298029 Min: 283684 / Avg: 284086 / Max: 284326 Min: 282294 / Avg: 283541 / Max: 285869 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate EPYC 7F52 EPYC 7302P EPYC 7252 EPYC 7502P EPYC 7272 EPYC 7F72 EPYC 7262 EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7662 EPYC 7502 EPYC 7352 EPYC 7F32 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7552 EPYC 7542 EPYC 7452 120 240 360 480 600 SE +/- 3.38, N = 3 SE +/- 1.45, N = 3 SE +/- 3.76, N = 3 SE +/- 1.15, N = 3 SE +/- 1.45, N = 3 SE +/- 5.24, N = 3 SE +/- 9.46, N = 14 SE +/- 7.12, N = 15 SE +/- 20.04, N = 15 SE +/- 16.69, N = 15 SE +/- 11.26, N = 15 SE +/- 4.45, N = 15 SE +/- 2.08, N = 3 SE +/- 4.11, N = 5 SE +/- 6.21, N = 15 SE +/- 5.66, N = 15 SE +/- 31.42, N = 12 SE +/- 12.76, N = 14 563 533 530 529 518 517 516 484 482 475 420 410 347 337 333 321 296 262 260 234 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate EPYC 7F52 EPYC 7302P EPYC 7252 EPYC 7502P EPYC 7272 EPYC 7F72 EPYC 7262 EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7662 EPYC 7502 EPYC 7352 EPYC 7F32 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7552 EPYC 7542 EPYC 7452 100 200 300 400 500 Min: 556 / Avg: 562.67 / Max: 567 Min: 527 / Avg: 529.67 / Max: 532 Min: 522 / Avg: 528.67 / Max: 535 Min: 516 / Avg: 518 / Max: 520 Min: 515 / Avg: 517.33 / Max: 520 Min: 474 / Avg: 483.67 / Max: 492 Min: 375 / Avg: 482.29 / Max: 512 Min: 425 / Avg: 475.2 / Max: 515 Min: 282 / Avg: 419.87 / Max: 503 Min: 280 / Avg: 409.53 / Max: 524 Min: 238 / Avg: 346.93 / Max: 407 Min: 318 / Avg: 337.47 / Max: 377 Min: 329 / Avg: 333 / Max: 336 Min: 311 / Avg: 321.4 / Max: 335 Min: 255 / Avg: 296.4 / Max: 351 Min: 229 / Avg: 262.07 / Max: 326 Min: 184 / Avg: 260.17 / Max: 519 Min: 188 / Avg: 234.43 / Max: 384 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
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 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7262 EPYC 7352 EPYC 7F32 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7272 4 8 12 16 20 SE +/- 0.16459, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.00693, N = 3 SE +/- 0.01357, N = 3 SE +/- 0.02604, N = 3 SE +/- 0.21777, N = 3 SE +/- 0.01027, N = 3 SE +/- 0.06961, N = 3 SE +/- 0.01557, N = 3 SE +/- 0.01024, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.04345, N = 3 SE +/- 0.01739, N = 3 SE +/- 0.07227, N = 3 SE +/- 0.02302, N = 3 SE +/- 0.05268, N = 3 SE +/- 0.06304, N = 3 SE +/- 0.03172, N = 3 17.73280 17.69020 17.59740 17.34760 17.24060 16.55080 15.78500 15.56040 15.41370 15.19950 15.18680 15.12460 15.11360 13.48800 11.93780 9.19335 8.94634 8.69542 8.54683 8.10890 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7262 EPYC 7352 EPYC 7F32 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7272 4 8 12 16 20 Min: 17.41 / Avg: 17.73 / Max: 17.96 Min: 17.54 / Avg: 17.69 / Max: 17.84 Min: 17.57 / Avg: 17.6 / Max: 17.63 Min: 17.34 / Avg: 17.35 / Max: 17.36 Min: 17.21 / Avg: 17.24 / Max: 17.26 Min: 16.51 / Avg: 16.55 / Max: 16.6 Min: 15.52 / Avg: 15.79 / Max: 16.22 Min: 15.54 / Avg: 15.56 / Max: 15.58 Min: 15.28 / Avg: 15.41 / Max: 15.5 Min: 15.17 / Avg: 15.2 / Max: 15.23 Min: 15.17 / Avg: 15.19 / Max: 15.2 Min: 15.1 / Avg: 15.12 / Max: 15.15 Min: 15.1 / Avg: 15.11 / Max: 15.12 Min: 13.43 / Avg: 13.49 / Max: 13.57 Min: 11.9 / Avg: 11.94 / Max: 11.96 Min: 9.05 / Avg: 9.19 / Max: 9.27 Min: 8.92 / Avg: 8.95 / Max: 8.99 Min: 8.59 / Avg: 8.7 / Max: 8.75 Min: 8.43 / Avg: 8.55 / Max: 8.64 Min: 8.07 / Avg: 8.11 / Max: 8.17 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
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 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 160.64 161.23 161.38 163.68 172.40 179.85 181.00 186.36 187.96 189.13 208.16 232.54 234.69 274.94 294.35 347.69 413.50 463.51 490.96 519.56
RAMspeed SMP This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer EPYC 7F52 EPYC 7F72 EPYC 7302P EPYC 7262 EPYC 7642 EPYC 7402P EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7252 EPYC 7452 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7502P EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7542 EPYC 7532 8K 16K 24K 32K 40K SE +/- 57.19, N = 3 SE +/- 71.12, N = 3 SE +/- 54.01, N = 3 SE +/- 78.47, N = 3 SE +/- 112.67, N = 3 SE +/- 624.60, N = 12 SE +/- 316.68, N = 10 SE +/- 379.71, N = 15 SE +/- 754.39, N = 15 SE +/- 505.40, N = 15 SE +/- 888.64, N = 15 SE +/- 605.24, N = 15 SE +/- 900.70, N = 15 SE +/- 878.51, N = 15 SE +/- 884.91, N = 15 SE +/- 926.99, N = 15 SE +/- 830.97, N = 15 SE +/- 535.38, N = 14 SE +/- 20.47, N = 3 SE +/- 1.86, N = 3 36650.26 36296.45 35997.33 35993.47 35410.82 35348.11 35283.08 34859.66 34096.66 33796.07 33375.87 33289.76 33225.43 31690.52 31028.93 30957.09 30290.94 29143.48 28648.25 28516.07 1. (CC) gcc options: -O3 -march=native Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer EPYC 7F52 EPYC 7F72 EPYC 7302P EPYC 7262 EPYC 7642 EPYC 7402P EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7252 EPYC 7452 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7502P EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7542 EPYC 7532 6K 12K 18K 24K 30K Min: 36536.09 / Avg: 36650.26 / Max: 36713.44 Min: 36205.85 / Avg: 36296.45 / Max: 36436.71 Min: 35901.3 / Avg: 35997.33 / Max: 36088.2 Min: 35840.78 / Avg: 35993.47 / Max: 36101.24 Min: 35267.72 / Avg: 35410.82 / Max: 35633.12 Min: 28486.35 / Avg: 35348.11 / Max: 36099.77 Min: 33173.71 / Avg: 35283.08 / Max: 36199.16 Min: 30696.8 / Avg: 34859.66 / Max: 35822.28 Min: 28489.67 / Avg: 34096.66 / Max: 36095.19 Min: 29768.36 / Avg: 33796.07 / Max: 35632.71 Min: 28511.86 / Avg: 33375.87 / Max: 36057.31 Min: 28386 / Avg: 33289.76 / Max: 35700.74 Min: 28424.7 / Avg: 33225.43 / Max: 35855.69 Min: 28467.99 / Avg: 31690.52 / Max: 36046.92 Min: 28488.68 / Avg: 31028.93 / Max: 36158.98 Min: 28467.39 / Avg: 30957.09 / Max: 36036.16 Min: 28386.9 / Avg: 30290.94 / Max: 35939.81 Min: 28548.66 / Avg: 29143.48 / Max: 36102.48 Min: 28608.01 / Avg: 28648.25 / Max: 28674.85 Min: 28514.02 / Avg: 28516.07 / Max: 28519.78 1. (CC) gcc options: -O3 -march=native
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 7F32 EPYC 7F52 EPYC 7262 EPYC 7232P EPYC 7F72 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 50 100 150 200 250 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.50, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 118.05 131.90 136.25 142.11 142.29 145.16 150.37 152.56 154.16 164.12 172.65 173.90 177.12 177.15 178.14 184.93 209.73 210.42 233.99 235.71 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 7F32 EPYC 7F52 EPYC 7262 EPYC 7232P EPYC 7F72 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 40 80 120 160 200 Min: 117.99 / Avg: 118.05 / Max: 118.14 Min: 131.83 / Avg: 131.9 / Max: 132 Min: 135.91 / Avg: 136.25 / Max: 136.57 Min: 141.91 / Avg: 142.11 / Max: 142.32 Min: 142.2 / Avg: 142.29 / Max: 142.43 Min: 144.94 / Avg: 145.16 / Max: 145.27 Min: 150.06 / Avg: 150.37 / Max: 150.97 Min: 152.43 / Avg: 152.56 / Max: 152.67 Min: 153.9 / Avg: 154.16 / Max: 154.39 Min: 163.95 / Avg: 164.12 / Max: 164.42 Min: 172.5 / Avg: 172.65 / Max: 172.96 Min: 173.55 / Avg: 173.9 / Max: 174.18 Min: 176.76 / Avg: 177.12 / Max: 177.49 Min: 176.81 / Avg: 177.15 / Max: 177.32 Min: 177.99 / Avg: 178.14 / Max: 178.35 Min: 184.68 / Avg: 184.93 / Max: 185.07 Min: 209.23 / Avg: 209.73 / Max: 210.73 Min: 209.97 / Avg: 210.42 / Max: 210.89 Min: 233.79 / Avg: 233.98 / Max: 234.09 Min: 235.48 / Avg: 235.71 / Max: 235.99 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Renaissance Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7302P EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7532 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 5.86, N = 5 SE +/- 3.83, N = 5 SE +/- 4.09, N = 5 SE +/- 6.83, N = 5 SE +/- 7.90, N = 5 SE +/- 5.82, N = 5 SE +/- 9.80, N = 5 SE +/- 8.93, N = 5 SE +/- 8.18, N = 5 SE +/- 2.12, N = 5 SE +/- 7.96, N = 5 SE +/- 6.15, N = 5 SE +/- 10.78, N = 5 SE +/- 6.49, N = 5 SE +/- 7.02, N = 5 SE +/- 11.71, N = 5 SE +/- 7.81, N = 5 SE +/- 4.60, N = 5 SE +/- 9.93, N = 5 SE +/- 4.09, N = 5 1575.17 1598.01 1643.61 1762.01 1778.59 1780.00 1785.43 1786.25 1796.32 1802.11 1821.92 1827.54 1837.63 1838.71 1840.49 1843.43 1858.15 1887.64 1888.05 1963.09 Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7302P EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7532 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1556.35 / Avg: 1575.17 / Max: 1589.78 Min: 1590.06 / Avg: 1598.01 / Max: 1608.27 Min: 1636.18 / Avg: 1643.61 / Max: 1658.12 Min: 1750.8 / Avg: 1762.01 / Max: 1788.05 Min: 1763.98 / Avg: 1778.58 / Max: 1801.84 Min: 1771.68 / Avg: 1780 / Max: 1802.96 Min: 1761.02 / Avg: 1785.43 / Max: 1812.16 Min: 1767.26 / Avg: 1786.25 / Max: 1808.33 Min: 1777.39 / Avg: 1796.32 / Max: 1818.83 Min: 1794.77 / Avg: 1802.11 / Max: 1807.79 Min: 1806.27 / Avg: 1821.92 / Max: 1850.88 Min: 1810.41 / Avg: 1827.54 / Max: 1846.46 Min: 1806.07 / Avg: 1837.63 / Max: 1863.6 Min: 1823.01 / Avg: 1838.71 / Max: 1861.54 Min: 1821.78 / Avg: 1840.49 / Max: 1861.9 Min: 1814.21 / Avg: 1843.43 / Max: 1871.61 Min: 1843.06 / Avg: 1858.15 / Max: 1881.85 Min: 1875.72 / Avg: 1887.64 / Max: 1899.29 Min: 1872.26 / Avg: 1888.05 / Max: 1924.57 Min: 1949.67 / Avg: 1963.09 / Max: 1972.52
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 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40M 80M 120M 160M 200M SE +/- 1899653.41, N = 15 SE +/- 2049696.22, N = 15 SE +/- 2240110.26, N = 5 SE +/- 1559101.58, N = 15 SE +/- 526030.10, N = 3 SE +/- 1276317.53, N = 7 SE +/- 1040006.53, N = 15 SE +/- 358368.47, N = 3 SE +/- 214890.39, N = 3 SE +/- 1122561.19, N = 15 SE +/- 860434.27, N = 15 SE +/- 733157.90, N = 15 SE +/- 1093756.73, N = 4 SE +/- 134953.06, N = 3 SE +/- 781709.19, N = 5 SE +/- 402653.87, N = 15 SE +/- 621658.12, N = 3 SE +/- 573712.98, N = 3 SE +/- 227455.75, N = 3 SE +/- 326575.75, N = 3 192725013 192210231 167150946 163000355 133751245 121673641 120922766 119286292 118182176 108651965 98307816 84742534 80061560 68867484 63230724 49276720 40658633 35301607 33751178 33393407 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30M 60M 90M 120M 150M Min: 184745570 / Avg: 192725013.2 / Max: 201658187 Min: 183285104 / Avg: 192210230.73 / Max: 202087778 Min: 158235179 / Avg: 167150946.2 / Max: 170160556 Min: 155397851 / Avg: 163000355.4 / Max: 170264486 Min: 132715309 / Avg: 133751244.67 / Max: 134428118 Min: 114249697 / Avg: 121673641.14 / Max: 124512407 Min: 113942640 / Avg: 120922766.13 / Max: 124587119 Min: 118570199 / Avg: 119286292.33 / Max: 119670638 Min: 117754545 / Avg: 118182175.67 / Max: 118433175 Min: 103874336 / Avg: 108651964.8 / Max: 114145821 Min: 93719478 / Avg: 98307816.2 / Max: 102407832 Min: 80711238 / Avg: 84742534.27 / Max: 87776559 Min: 77755597 / Avg: 80061560.25 / Max: 82403261 Min: 68715282 / Avg: 68867484 / Max: 69136621 Min: 60131659 / Avg: 63230724 / Max: 64253059 Min: 47356643 / Avg: 49276720.13 / Max: 51259025 Min: 39547827 / Avg: 40658633.33 / Max: 41697729 Min: 34154208 / Avg: 35301607 / Max: 35882118 Min: 33435197 / Avg: 33751178.33 / Max: 34192586 Min: 32741134 / Avg: 33393407 / Max: 33748871 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 7662 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7452 EPYC 7642 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K SE +/- 1719.61, N = 3 SE +/- 2053.52, N = 10 SE +/- 956.08, N = 3 SE +/- 2505.69, N = 15 SE +/- 2680.04, N = 3 SE +/- 2783.17, N = 4 SE +/- 2362.56, N = 6 SE +/- 1820.08, N = 15 SE +/- 2557.41, N = 15 SE +/- 1497.72, N = 13 SE +/- 2252.44, N = 3 SE +/- 2165.41, N = 5 SE +/- 970.11, N = 3 SE +/- 1109.12, N = 3 SE +/- 1172.51, N = 3 SE +/- 674.43, N = 3 SE +/- 364.13, N = 3 SE +/- 218.45, N = 3 SE +/- 180.35, N = 3 SE +/- 135.06, N = 3 218854 218480 214486 211140 205457 203081 199364 196720 193790 184455 180592 162681 127262 122041 112020 76751 49086 43203 41662 40445 Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7702 EPYC 7662 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7452 EPYC 7642 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K Min: 215677 / Avg: 218854.33 / Max: 221583 Min: 207486 / Avg: 218480.4 / Max: 225818 Min: 212577 / Avg: 214486.33 / Max: 215531 Min: 196521 / Avg: 211139.8 / Max: 221898 Min: 202352 / Avg: 205456.67 / Max: 210793 Min: 198780 / Avg: 203080.5 / Max: 211125 Min: 190358 / Avg: 199364 / Max: 208384 Min: 189102 / Avg: 196719.53 / Max: 208592 Min: 176360 / Avg: 193789.73 / Max: 202817 Min: 177996 / Avg: 184455 / Max: 191651 Min: 176111 / Avg: 180591.67 / Max: 183236 Min: 155800 / Avg: 162680.8 / Max: 166977 Min: 126002 / Avg: 127262.33 / Max: 129170 Min: 120158 / Avg: 122041.33 / Max: 123998 Min: 109894 / Avg: 112020 / Max: 113940 Min: 75429 / Avg: 76751.33 / Max: 77643 Min: 48473 / Avg: 49086 / Max: 49733 Min: 42953 / Avg: 43202.67 / Max: 43638 Min: 41364 / Avg: 41662 / Max: 41987 Min: 40189 / Avg: 40444.67 / Max: 40648
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 1.116 2.232 3.348 4.464 5.58 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 6 SE +/- 0.00, N = 3 SE +/- 0.00, N = 7 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 4.96 4.84 4.17 4.14 3.20 3.02 3.01 2.90 2.80 2.61 2.43 2.13 1.86 1.64 1.57 1.18 0.92 0.85 0.79 0.76 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 4.95 / Avg: 4.96 / Max: 4.98 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.17 / Avg: 4.17 / Max: 4.18 Min: 4.13 / Avg: 4.14 / Max: 4.15 Min: 3.19 / Avg: 3.2 / Max: 3.21 Min: 3.01 / Avg: 3.02 / Max: 3.02 Min: 3.01 / Avg: 3.01 / Max: 3.02 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.79 / Avg: 2.8 / Max: 2.8 Min: 2.6 / Avg: 2.61 / Max: 2.61 Min: 2.43 / Avg: 2.43 / Max: 2.43 Min: 2.12 / Avg: 2.13 / Max: 2.13 Min: 1.86 / Avg: 1.86 / Max: 1.86 Min: 1.63 / Avg: 1.64 / Max: 1.64 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 0.92 / Avg: 0.92 / Max: 0.92 Min: 0.85 / Avg: 0.85 / Max: 0.86 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 0.76 / Avg: 0.76 / Max: 0.76
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 SE +/- 0.23, N = 15 SE +/- 0.21, N = 15 SE +/- 0.37, N = 3 SE +/- 0.25, N = 3 SE +/- 0.61, N = 12 SE +/- 0.48, N = 15 SE +/- 0.54, N = 15 SE +/- 0.40, N = 15 SE +/- 0.37, N = 4 SE +/- 0.34, N = 3 SE +/- 2.20, N = 12 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.66, N = 4 SE +/- 0.80, N = 15 SE +/- 0.30, N = 3 SE +/- 0.11, N = 3 SE +/- 0.69, N = 15 SE +/- 0.32, N = 3 SE +/- 0.49, N = 3 18.97 20.11 21.59 21.95 23.30 26.85 27.09 27.32 27.95 29.56 30.87 34.28 35.70 45.83 50.11 51.78 54.81 62.73 66.44 66.89 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 17.81 / Avg: 18.97 / Max: 20.22 Min: 18.88 / Avg: 20.11 / Max: 21.3 Min: 20.85 / Avg: 21.59 / Max: 21.96 Min: 21.63 / Avg: 21.95 / Max: 22.43 Min: 20.54 / Avg: 23.3 / Max: 27.57 Min: 24.74 / Avg: 26.85 / Max: 30.62 Min: 24.2 / Avg: 27.09 / Max: 31.21 Min: 23.37 / Avg: 27.32 / Max: 28.84 Min: 27.11 / Avg: 27.95 / Max: 28.77 Min: 29.08 / Avg: 29.56 / Max: 30.22 Min: 22.93 / Avg: 30.87 / Max: 52.08 Min: 33.87 / Avg: 34.28 / Max: 34.57 Min: 35.47 / Avg: 35.7 / Max: 35.93 Min: 43.96 / Avg: 45.83 / Max: 47.03 Min: 44.96 / Avg: 50.11 / Max: 56.21 Min: 51.46 / Avg: 51.78 / Max: 52.37 Min: 54.67 / Avg: 54.81 / Max: 55.02 Min: 58.95 / Avg: 62.73 / Max: 67.52 Min: 66.1 / Avg: 66.44 / Max: 67.07 Min: 66.25 / Avg: 66.89 / Max: 67.85 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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: Tradesoap EPYC 7F72 EPYC 7F52 EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7F32 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7262 EPYC 7662 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 39.71, N = 4 SE +/- 24.42, N = 4 SE +/- 18.17, N = 4 SE +/- 38.80, N = 4 SE +/- 34.26, N = 4 SE +/- 25.86, N = 4 SE +/- 41.98, N = 4 SE +/- 29.29, N = 4 SE +/- 63.41, N = 4 SE +/- 44.81, N = 4 SE +/- 38.40, N = 4 SE +/- 18.54, N = 4 SE +/- 59.76, N = 4 SE +/- 57.02, N = 4 SE +/- 32.48, N = 4 SE +/- 42.50, N = 4 SE +/- 23.84, N = 4 SE +/- 25.70, N = 4 SE +/- 57.45, N = 6 SE +/- 33.61, N = 4 3535 3796 4190 4203 4269 4277 4334 4365 4385 4460 4466 4485 4609 4689 4747 4921 4965 4968 4976 5414 Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7F72 EPYC 7F52 EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7F32 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7262 EPYC 7662 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 3451 / Avg: 3534.75 / Max: 3614 Min: 3752 / Avg: 3795.5 / Max: 3862 Min: 4150 / Avg: 4190.25 / Max: 4221 Min: 4087 / Avg: 4202.5 / Max: 4251 Min: 4173 / Avg: 4268.5 / Max: 4334 Min: 4206 / Avg: 4276.75 / Max: 4326 Min: 4270 / Avg: 4334.25 / Max: 4456 Min: 4311 / Avg: 4364.75 / Max: 4444 Min: 4213 / Avg: 4385.25 / Max: 4514 Min: 4327 / Avg: 4460.25 / Max: 4515 Min: 4397 / Avg: 4466 / Max: 4553 Min: 4445 / Avg: 4484.75 / Max: 4522 Min: 4497 / Avg: 4609 / Max: 4752 Min: 4535 / Avg: 4689 / Max: 4810 Min: 4657 / Avg: 4746.75 / Max: 4812 Min: 4832 / Avg: 4920.5 / Max: 5010 Min: 4897 / Avg: 4964.5 / Max: 5008 Min: 4901 / Avg: 4967.75 / Max: 5022 Min: 4811 / Avg: 4975.5 / Max: 5170 Min: 5331 / Avg: 5413.5 / Max: 5479
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 20200916 Target: CPU - Model: yolov4-tiny EPYC 7F52 EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7F32 EPYC 7302P EPYC 7532 EPYC 7552 EPYC 7272 EPYC 7642 EPYC 7262 EPYC 7252 EPYC 7352 EPYC 7662 EPYC 7232P EPYC 7502 EPYC 7702 13 26 39 52 65 SE +/- 0.23, N = 10 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 8 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.27, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.32, N = 3 SE +/- 0.29, N = 3 SE +/- 0.38, N = 3 SE +/- 0.19, N = 15 SE +/- 0.20, N = 15 SE +/- 0.37, N = 3 SE +/- 0.53, N = 4 SE +/- 5.01, N = 12 SE +/- 0.75, N = 3 31.41 31.53 31.68 31.97 32.15 32.44 33.02 33.66 34.03 34.50 35.05 35.19 36.67 36.84 37.01 37.06 37.22 37.85 41.55 57.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny EPYC 7F52 EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7F32 EPYC 7302P EPYC 7532 EPYC 7552 EPYC 7272 EPYC 7642 EPYC 7262 EPYC 7252 EPYC 7352 EPYC 7662 EPYC 7232P EPYC 7502 EPYC 7702 11 22 33 44 55 Min: 29.4 / Avg: 31.41 / Max: 31.94 Min: 31.37 / Avg: 31.53 / Max: 31.69 Min: 31.55 / Avg: 31.68 / Max: 31.91 Min: 31.22 / Avg: 31.97 / Max: 32.54 Min: 32.01 / Avg: 32.15 / Max: 32.34 Min: 32.35 / Avg: 32.44 / Max: 32.6 Min: 32.49 / Avg: 33.02 / Max: 33.31 Min: 33.55 / Avg: 33.66 / Max: 33.77 Min: 33.75 / Avg: 34.03 / Max: 34.41 Min: 33.95 / Avg: 34.5 / Max: 35.06 Min: 34.79 / Avg: 35.05 / Max: 35.29 Min: 34.57 / Avg: 35.19 / Max: 35.66 Min: 36.2 / Avg: 36.67 / Max: 37.21 Min: 36.08 / Avg: 36.84 / Max: 37.28 Min: 35.8 / Avg: 37.01 / Max: 38.44 Min: 35.91 / Avg: 37.06 / Max: 38.58 Min: 36.6 / Avg: 37.22 / Max: 37.87 Min: 36.65 / Avg: 37.85 / Max: 39.21 Min: 31.9 / Avg: 41.55 / Max: 81.75 Min: 55.66 / Avg: 57.12 / Max: 58.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7402P EPYC 7542 EPYC 7282 EPYC 7502P EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7F32 EPYC 7532 EPYC 7352 EPYC 7262 EPYC 7552 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7642 EPYC 7662 EPYC 7702 12 24 36 48 60 SE +/- 0.26, N = 3 SE +/- 0.10, N = 8 SE +/- 0.08, N = 3 SE +/- 0.55, N = 3 SE +/- 0.13, N = 3 SE +/- 0.52, N = 10 SE +/- 0.09, N = 3 SE +/- 0.53, N = 3 SE +/- 0.95, N = 12 SE +/- 0.13, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 15 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 15 SE +/- 0.31, N = 4 SE +/- 0.81, N = 3 SE +/- 0.12, N = 3 SE +/- 1.80, N = 3 23.60 24.57 24.85 25.36 25.70 25.74 25.88 26.10 27.71 27.85 28.82 29.84 31.33 31.33 32.87 33.75 34.16 34.32 37.02 52.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7402P EPYC 7542 EPYC 7282 EPYC 7502P EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7F32 EPYC 7532 EPYC 7352 EPYC 7262 EPYC 7552 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7642 EPYC 7662 EPYC 7702 11 22 33 44 55 Min: 23.25 / Avg: 23.6 / Max: 24.11 Min: 24.2 / Avg: 24.57 / Max: 25.09 Min: 24.71 / Avg: 24.85 / Max: 24.98 Min: 24.66 / Avg: 25.36 / Max: 26.45 Min: 25.5 / Avg: 25.7 / Max: 25.94 Min: 21.71 / Avg: 25.74 / Max: 27.13 Min: 25.71 / Avg: 25.88 / Max: 26.01 Min: 25.55 / Avg: 26.1 / Max: 27.16 Min: 24.74 / Avg: 27.71 / Max: 33.12 Min: 27.64 / Avg: 27.85 / Max: 28.08 Min: 28.28 / Avg: 28.82 / Max: 29.2 Min: 28.32 / Avg: 29.84 / Max: 30.59 Min: 30.76 / Avg: 31.33 / Max: 31.64 Min: 30.82 / Avg: 31.33 / Max: 31.84 Min: 32.76 / Avg: 32.87 / Max: 33.04 Min: 32.78 / Avg: 33.75 / Max: 34.88 Min: 33.29 / Avg: 34.16 / Max: 34.69 Min: 32.7 / Avg: 34.32 / Max: 35.25 Min: 36.81 / Avg: 37.02 / Max: 37.23 Min: 49.43 / Avg: 52.99 / Max: 55.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7F52 EPYC 7502P EPYC 7402P EPYC 7F32 EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7282 EPYC 7262 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7502 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7702 5 10 15 20 25 SE +/- 0.28, N = 10 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.40, N = 2 SE +/- 0.33, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 8 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.37, N = 3 SE +/- 0.61, N = 3 SE +/- 0.32, N = 3 SE +/- 0.23, N = 3 SE +/- 0.18, N = 3 SE +/- 0.40, N = 12 SE +/- 0.06, N = 15 SE +/- 0.23, N = 3 SE +/- 0.16, N = 4 SE +/- 0.20, N = 15 SE +/- 0.63, N = 3 9.86 9.95 10.04 10.44 10.52 10.84 10.85 10.94 11.03 11.07 11.21 11.31 11.32 11.59 11.70 12.66 12.75 12.85 12.96 18.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7F52 EPYC 7502P EPYC 7402P EPYC 7F32 EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7282 EPYC 7262 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7502 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7702 5 10 15 20 25 Min: 8.01 / Avg: 9.86 / Max: 11.13 Min: 9.82 / Avg: 9.95 / Max: 10.2 Min: 9.96 / Avg: 10.04 / Max: 10.13 Min: 10.04 / Avg: 10.44 / Max: 10.83 Min: 9.92 / Avg: 10.52 / Max: 11.06 Min: 10.75 / Avg: 10.84 / Max: 11.02 Min: 10.47 / Avg: 10.85 / Max: 11.37 Min: 10.89 / Avg: 10.94 / Max: 11.03 Min: 10.74 / Avg: 11.03 / Max: 11.2 Min: 10.66 / Avg: 11.07 / Max: 11.81 Min: 10.53 / Avg: 11.21 / Max: 12.43 Min: 10.87 / Avg: 11.31 / Max: 11.93 Min: 10.87 / Avg: 11.32 / Max: 11.66 Min: 11.35 / Avg: 11.59 / Max: 11.95 Min: 10.19 / Avg: 11.7 / Max: 14.07 Min: 12.41 / Avg: 12.66 / Max: 13.1 Min: 12.32 / Avg: 12.75 / Max: 13.12 Min: 12.47 / Avg: 12.85 / Max: 13.25 Min: 11.74 / Avg: 12.96 / Max: 14.52 Min: 17.78 / Avg: 18.51 / Max: 19.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7F32 EPYC 7302P EPYC 7502 EPYC 7552 EPYC 7532 EPYC 7262 EPYC 7662 EPYC 7642 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7702 6 12 18 24 30 SE +/- 0.23, N = 10 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 8 SE +/- 0.15, N = 3 SE +/- 0.34, N = 3 SE +/- 0.05, N = 3 SE +/- 0.45, N = 12 SE +/- 0.08, N = 3 SE +/- 0.45, N = 3 SE +/- 0.09, N = 3 SE +/- 0.40, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 4 SE +/- 0.26, N = 3 SE +/- 0.13, N = 15 SE +/- 1.89, N = 15 SE +/- 0.55, N = 3 13.40 13.72 14.18 14.40 14.69 14.73 15.11 15.19 15.20 15.76 16.02 16.09 16.15 17.01 17.33 17.52 17.65 17.89 19.41 25.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7282 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7F32 EPYC 7302P EPYC 7502 EPYC 7552 EPYC 7532 EPYC 7262 EPYC 7662 EPYC 7642 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7702 6 12 18 24 30 Min: 11.54 / Avg: 13.4 / Max: 14.2 Min: 13.53 / Avg: 13.72 / Max: 14.03 Min: 13.84 / Avg: 14.18 / Max: 14.56 Min: 14.27 / Avg: 14.4 / Max: 14.57 Min: 14.13 / Avg: 14.69 / Max: 14.97 Min: 14.45 / Avg: 14.73 / Max: 15.08 Min: 14.83 / Avg: 15.11 / Max: 15.36 Min: 14.59 / Avg: 15.19 / Max: 15.77 Min: 15.11 / Avg: 15.2 / Max: 15.28 Min: 14.25 / Avg: 15.76 / Max: 18.49 Min: 15.93 / Avg: 16.02 / Max: 16.19 Min: 15.41 / Avg: 16.09 / Max: 16.94 Min: 16.02 / Avg: 16.15 / Max: 16.32 Min: 16.41 / Avg: 17.01 / Max: 17.77 Min: 16.94 / Avg: 17.33 / Max: 17.63 Min: 17.32 / Avg: 17.52 / Max: 17.67 Min: 17.2 / Avg: 17.65 / Max: 18.09 Min: 17.07 / Avg: 17.89 / Max: 18.64 Min: 16.74 / Avg: 19.41 / Max: 45.87 Min: 24.86 / Avg: 25.93 / Max: 26.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7552 EPYC 7F32 EPYC 7352 EPYC 7262 EPYC 7642 EPYC 7662 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7702 14 28 42 56 70 SE +/- 0.31, N = 3 SE +/- 0.15, N = 8 SE +/- 0.76, N = 3 SE +/- 0.84, N = 3 SE +/- 1.29, N = 12 SE +/- 0.32, N = 3 SE +/- 0.68, N = 10 SE +/- 0.87, N = 3 SE +/- 0.72, N = 3 SE +/- 0.34, N = 3 SE +/- 0.17, N = 3 SE +/- 0.35, N = 3 SE +/- 0.31, N = 15 SE +/- 0.17, N = 3 SE +/- 0.41, N = 3 SE +/- 0.54, N = 3 SE +/- 0.19, N = 3 SE +/- 0.25, N = 15 SE +/- 0.19, N = 4 SE +/- 0.41, N = 3 32.49 32.64 33.03 33.55 36.74 36.97 37.18 37.89 38.80 39.31 39.93 40.01 41.99 43.06 43.46 43.92 49.36 49.39 50.01 63.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7552 EPYC 7F32 EPYC 7352 EPYC 7262 EPYC 7642 EPYC 7662 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7702 12 24 36 48 60 Min: 32.12 / Avg: 32.49 / Max: 33.11 Min: 32.07 / Avg: 32.64 / Max: 33.38 Min: 32.11 / Avg: 33.03 / Max: 34.53 Min: 32.39 / Avg: 33.55 / Max: 35.17 Min: 32.24 / Avg: 36.74 / Max: 43.77 Min: 36.47 / Avg: 36.97 / Max: 37.57 Min: 31.85 / Avg: 37.18 / Max: 39.52 Min: 36.71 / Avg: 37.89 / Max: 39.58 Min: 37.36 / Avg: 38.8 / Max: 39.61 Min: 38.86 / Avg: 39.31 / Max: 39.99 Min: 39.66 / Avg: 39.93 / Max: 40.24 Min: 39.57 / Avg: 40.01 / Max: 40.7 Min: 39.76 / Avg: 41.99 / Max: 43.74 Min: 42.85 / Avg: 43.06 / Max: 43.39 Min: 42.79 / Avg: 43.46 / Max: 44.19 Min: 43.08 / Avg: 43.92 / Max: 44.93 Min: 48.98 / Avg: 49.36 / Max: 49.63 Min: 47.72 / Avg: 49.39 / Max: 51.72 Min: 49.52 / Avg: 50.01 / Max: 50.37 Min: 63.27 / Avg: 63.71 / Max: 64.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7282 EPYC 7F52 EPYC 7F32 EPYC 7402P EPYC 7F72 EPYC 7272 EPYC 7302P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7252 EPYC 7232P EPYC 7502 EPYC 7532 EPYC 7552 EPYC 7352 EPYC 7642 EPYC 7662 EPYC 7702 10 20 30 40 50 SE +/- 0.14, N = 3 SE +/- 0.18, N = 10 SE +/- 0.30, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.29, N = 3 SE +/- 0.23, N = 8 SE +/- 0.35, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 15 SE +/- 0.19, N = 4 SE +/- 0.84, N = 12 SE +/- 0.93, N = 3 SE +/- 0.37, N = 3 SE +/- 0.32, N = 15 SE +/- 0.40, N = 3 SE +/- 0.84, N = 3 SE +/- 0.62, N = 3 19.24 20.04 20.29 20.50 21.73 21.86 22.01 22.04 22.30 22.35 22.38 22.73 23.35 24.30 24.85 25.88 26.52 27.78 31.74 44.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7282 EPYC 7F52 EPYC 7F32 EPYC 7402P EPYC 7F72 EPYC 7272 EPYC 7302P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7252 EPYC 7232P EPYC 7502 EPYC 7532 EPYC 7552 EPYC 7352 EPYC 7642 EPYC 7662 EPYC 7702 9 18 27 36 45 Min: 19.1 / Avg: 19.24 / Max: 19.52 Min: 18.68 / Avg: 20.04 / Max: 20.7 Min: 19.96 / Avg: 20.29 / Max: 20.89 Min: 20.47 / Avg: 20.5 / Max: 20.55 Min: 21.64 / Avg: 21.73 / Max: 21.86 Min: 21.52 / Avg: 21.86 / Max: 22.24 Min: 21.51 / Avg: 22.01 / Max: 22.31 Min: 21.47 / Avg: 22.04 / Max: 22.39 Min: 21.14 / Avg: 22.3 / Max: 23.26 Min: 21.78 / Avg: 22.35 / Max: 23 Min: 22.05 / Avg: 22.38 / Max: 23.01 Min: 21.95 / Avg: 22.73 / Max: 23.78 Min: 22.8 / Avg: 23.35 / Max: 23.65 Min: 21.5 / Avg: 24.3 / Max: 29.46 Min: 23.42 / Avg: 24.85 / Max: 26.6 Min: 25.16 / Avg: 25.88 / Max: 26.41 Min: 24.47 / Avg: 26.52 / Max: 28.49 Min: 27.05 / Avg: 27.78 / Max: 28.44 Min: 30.65 / Avg: 31.74 / Max: 33.39 Min: 43.47 / Avg: 44.29 / Max: 45.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7F32 EPYC 7282 EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7F52 EPYC 7402P EPYC 7302P EPYC 7542 EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7502P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 4 SE +/- 0.13, N = 15 SE +/- 0.05, N = 3 SE +/- 0.04, N = 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 8 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 12 SE +/- 0.03, N = 15 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.42, N = 3 SE +/- 0.31, N = 3 SE +/- 0.34, N = 3 SE +/- 0.47, N = 3 2.96 3.12 3.19 3.20 3.30 3.35 3.65 3.66 3.67 4.07 4.12 4.23 4.30 4.31 4.32 5.02 6.33 6.43 7.84 9.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7F32 EPYC 7282 EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7F52 EPYC 7402P EPYC 7302P EPYC 7542 EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7502P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 3 6 9 12 15 Min: 2.93 / Avg: 2.96 / Max: 3.01 Min: 3.1 / Avg: 3.12 / Max: 3.15 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.1 / Avg: 3.2 / Max: 3.26 Min: 3.04 / Avg: 3.3 / Max: 5.02 Min: 3.25 / Avg: 3.35 / Max: 3.41 Min: 3.46 / Avg: 3.65 / Max: 3.97 Min: 3.64 / Avg: 3.66 / Max: 3.7 Min: 3.63 / Avg: 3.67 / Max: 3.69 Min: 4.04 / Avg: 4.07 / Max: 4.1 Min: 4.04 / Avg: 4.12 / Max: 4.26 Min: 4.14 / Avg: 4.23 / Max: 4.39 Min: 4.06 / Avg: 4.3 / Max: 4.68 Min: 4.19 / Avg: 4.31 / Max: 4.63 Min: 4.05 / Avg: 4.32 / Max: 4.63 Min: 4.8 / Avg: 5.02 / Max: 5.35 Min: 5.76 / Avg: 6.33 / Max: 7.16 Min: 5.83 / Avg: 6.43 / Max: 6.88 Min: 7.38 / Avg: 7.84 / Max: 8.51 Min: 8.84 / Avg: 9.78 / Max: 10.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7282 EPYC 7F32 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7252 EPYC 7F72 EPYC 7542 EPYC 7232P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7352 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 10 SE +/- 0.14, N = 3 SE +/- 0.11, N = 15 SE +/- 0.08, N = 3 SE +/- 0.13, N = 8 SE +/- 0.07, N = 4 SE +/- 0.35, N = 3 SE +/- 0.53, N = 3 SE +/- 0.25, N = 12 SE +/- 0.10, N = 15 SE +/- 0.41, N = 3 SE +/- 0.32, N = 3 SE +/- 1.64, N = 3 SE +/- 1.57, N = 3 SE +/- 1.87, N = 3 9.20 10.32 10.67 11.02 11.06 11.13 11.30 11.81 11.88 12.12 12.46 12.62 12.96 13.03 13.17 15.71 19.15 19.71 25.61 31.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7282 EPYC 7F32 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7252 EPYC 7F72 EPYC 7542 EPYC 7232P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7352 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 7 14 21 28 35 Min: 9.12 / Avg: 9.2 / Max: 9.32 Min: 10.15 / Avg: 10.32 / Max: 10.58 Min: 10.65 / Avg: 10.67 / Max: 10.72 Min: 10.9 / Avg: 11.02 / Max: 11.16 Min: 10.85 / Avg: 11.06 / Max: 11.34 Min: 10.85 / Avg: 11.13 / Max: 11.43 Min: 11.05 / Avg: 11.3 / Max: 11.55 Min: 11.3 / Avg: 11.81 / Max: 12.57 Min: 11.74 / Avg: 11.88 / Max: 12.02 Min: 11.88 / Avg: 12.12 / Max: 12.99 Min: 12.33 / Avg: 12.46 / Max: 12.67 Min: 12.23 / Avg: 12.62 / Max: 13.31 Min: 11.95 / Avg: 12.96 / Max: 13.73 Min: 11.97 / Avg: 13.03 / Max: 14.35 Min: 12.46 / Avg: 13.17 / Max: 13.76 Min: 15.22 / Avg: 15.71 / Max: 16.53 Min: 18.51 / Avg: 19.15 / Max: 19.55 Min: 17.57 / Avg: 19.71 / Max: 22.93 Min: 23.45 / Avg: 25.61 / Max: 28.65 Min: 28.68 / Avg: 31.36 / Max: 34.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7302P EPYC 7402P EPYC 7232P EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 15 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 4 SE +/- 0.06, N = 10 SE +/- 0.15, N = 3 SE +/- 0.17, N = 8 SE +/- 0.32, N = 2 SE +/- 0.15, N = 3 SE +/- 0.10, N = 15 SE +/- 0.18, N = 12 SE +/- 0.46, N = 3 SE +/- 0.20, N = 3 SE +/- 1.60, N = 3 SE +/- 2.95, N = 3 SE +/- 1.69, N = 3 6.84 7.30 7.71 7.81 8.10 8.10 8.13 8.49 8.49 9.32 9.34 9.35 9.41 9.83 9.98 11.63 15.02 17.06 21.46 26.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7302P EPYC 7402P EPYC 7232P EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 Min: 6.76 / Avg: 6.84 / Max: 6.95 Min: 7.08 / Avg: 7.3 / Max: 7.55 Min: 7.5 / Avg: 7.71 / Max: 7.87 Min: 7.63 / Avg: 7.81 / Max: 7.92 Min: 7.49 / Avg: 8.1 / Max: 8.71 Min: 7.62 / Avg: 8.1 / Max: 8.48 Min: 8.03 / Avg: 8.13 / Max: 8.25 Min: 8.4 / Avg: 8.49 / Max: 8.54 Min: 8.21 / Avg: 8.49 / Max: 8.76 Min: 9.12 / Avg: 9.32 / Max: 9.62 Min: 8.9 / Avg: 9.34 / Max: 10.14 Min: 9.03 / Avg: 9.35 / Max: 9.66 Min: 9.22 / Avg: 9.41 / Max: 9.71 Min: 9.41 / Avg: 9.83 / Max: 10.84 Min: 9.11 / Avg: 9.98 / Max: 10.92 Min: 11.07 / Avg: 11.63 / Max: 12.54 Min: 14.65 / Avg: 15.02 / Max: 15.34 Min: 14.96 / Avg: 17.06 / Max: 20.19 Min: 17.43 / Avg: 21.46 / Max: 27.22 Min: 22.65 / Avg: 26.02 / Max: 27.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7F32 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 SE +/- 0.01, N = 2 SE +/- 0.03, N = 3 SE +/- 0.06, N = 15 SE +/- 0.17, N = 4 SE +/- 0.10, N = 3 SE +/- 0.30, N = 2 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 10 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 8 SE +/- 0.10, N = 15 SE +/- 0.91, N = 3 SE +/- 0.18, N = 12 SE +/- 0.97, N = 3 SE +/- 0.92, N = 3 SE +/- 0.98, N = 3 SE +/- 1.73, N = 3 SE +/- 2.54, N = 3 7.76 8.03 8.16 8.36 8.60 8.60 9.09 9.14 9.53 9.92 10.28 10.48 10.84 10.96 11.15 14.43 16.83 18.38 21.77 25.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7F32 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 7.98 / Avg: 8.03 / Max: 8.07 Min: 7.92 / Avg: 8.16 / Max: 8.77 Min: 7.94 / Avg: 8.36 / Max: 8.69 Min: 8.43 / Avg: 8.6 / Max: 8.76 Min: 8.3 / Avg: 8.6 / Max: 8.89 Min: 8.92 / Avg: 9.09 / Max: 9.27 Min: 9.03 / Avg: 9.14 / Max: 9.27 Min: 8.94 / Avg: 9.53 / Max: 10.51 Min: 9.88 / Avg: 9.92 / Max: 9.95 Min: 9.94 / Avg: 10.28 / Max: 10.48 Min: 9.97 / Avg: 10.48 / Max: 11.14 Min: 10.18 / Avg: 10.84 / Max: 11.53 Min: 9.99 / Avg: 10.96 / Max: 12.79 Min: 10.02 / Avg: 11.15 / Max: 11.93 Min: 12.87 / Avg: 14.43 / Max: 16.2 Min: 15.43 / Avg: 16.83 / Max: 18.57 Min: 16.55 / Avg: 18.38 / Max: 19.89 Min: 19.2 / Avg: 21.77 / Max: 25.06 Min: 21.38 / Avg: 25.16 / Max: 30 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7F32 EPYC 7282 EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7F52 EPYC 7232P EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 15 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 10 SE +/- 0.14, N = 4 SE +/- 0.02, N = 3 SE +/- 0.12, N = 8 SE +/- 0.08, N = 3 SE +/- 0.07, N = 15 SE +/- 0.65, N = 3 SE +/- 0.19, N = 12 SE +/- 0.36, N = 3 SE +/- 0.33, N = 3 SE +/- 1.62, N = 3 SE +/- 2.05, N = 3 SE +/- 1.63, N = 3 7.42 7.49 7.99 8.18 8.19 8.47 8.63 8.90 8.97 9.41 9.81 9.98 10.21 10.49 10.55 12.08 15.40 15.95 21.05 27.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7F32 EPYC 7282 EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7F52 EPYC 7232P EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 Min: 7.29 / Avg: 7.42 / Max: 7.6 Min: 7.39 / Avg: 7.49 / Max: 7.62 Min: 7.96 / Avg: 7.99 / Max: 8.03 Min: 7.84 / Avg: 8.18 / Max: 8.92 Min: 8.03 / Avg: 8.19 / Max: 8.44 Min: 8.35 / Avg: 8.47 / Max: 8.59 Min: 8.59 / Avg: 8.63 / Max: 8.7 Min: 8.5 / Avg: 8.9 / Max: 9.63 Min: 8.58 / Avg: 8.97 / Max: 9.25 Min: 9.38 / Avg: 9.41 / Max: 9.44 Min: 9.46 / Avg: 9.81 / Max: 10.52 Min: 9.84 / Avg: 9.98 / Max: 10.1 Min: 9.69 / Avg: 10.21 / Max: 10.69 Min: 9.56 / Avg: 10.49 / Max: 11.73 Min: 9.71 / Avg: 10.55 / Max: 11.45 Min: 11.64 / Avg: 12.08 / Max: 12.79 Min: 14.75 / Avg: 15.4 / Max: 15.81 Min: 13.9 / Avg: 15.95 / Max: 19.15 Min: 18.92 / Avg: 21.05 / Max: 25.14 Min: 24.31 / Avg: 27.15 / Max: 29.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7252 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7232P EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7502P EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.36, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 15 SE +/- 0.26, N = 3 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.09, N = 4 SE +/- 0.21, N = 3 SE +/- 0.11, N = 8 SE +/- 0.02, N = 3 SE +/- 0.19, N = 12 SE +/- 0.11, N = 15 SE +/- 0.49, N = 3 SE +/- 3.21, N = 10 SE +/- 0.33, N = 3 SE +/- 0.63, N = 3 SE +/- 1.97, N = 3 SE +/- 3.02, N = 3 SE +/- 1.38, N = 3 7.77 8.29 8.66 8.96 9.01 9.07 9.12 9.32 9.96 10.07 10.31 10.61 10.64 10.75 12.40 12.63 16.18 16.41 22.90 26.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7252 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7232P EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7502P EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6 12 18 24 30 Min: 7.68 / Avg: 7.77 / Max: 7.94 Min: 7.87 / Avg: 8.29 / Max: 9 Min: 8.51 / Avg: 8.66 / Max: 8.91 Min: 8.64 / Avg: 8.96 / Max: 9.88 Min: 8.53 / Avg: 9.01 / Max: 9.42 Min: 8.9 / Avg: 9.07 / Max: 9.37 Min: 8.6 / Avg: 9.12 / Max: 9.61 Min: 9.17 / Avg: 9.32 / Max: 9.52 Min: 9.67 / Avg: 9.96 / Max: 10.38 Min: 9.82 / Avg: 10.07 / Max: 10.75 Min: 10.28 / Avg: 10.31 / Max: 10.33 Min: 9.95 / Avg: 10.61 / Max: 11.74 Min: 10.08 / Avg: 10.64 / Max: 11.35 Min: 9.87 / Avg: 10.75 / Max: 11.57 Min: 8.85 / Avg: 12.4 / Max: 41.24 Min: 12.01 / Avg: 12.63 / Max: 13.15 Min: 15.13 / Avg: 16.18 / Max: 17.32 Min: 14.24 / Avg: 16.41 / Max: 20.35 Min: 18.49 / Avg: 22.9 / Max: 28.67 Min: 24.45 / Avg: 26.55 / Max: 29.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7402P EPYC 7282 EPYC 7542 EPYC 7452 EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7F32 EPYC 7302P EPYC 7502 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 10 20 30 40 50 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 8 SE +/- 0.13, N = 3 SE +/- 0.26, N = 10 SE +/- 0.53, N = 3 SE +/- 0.78, N = 3 SE +/- 0.08, N = 3 SE +/- 0.36, N = 3 SE +/- 0.67, N = 12 SE +/- 0.27, N = 3 SE +/- 0.17, N = 15 SE +/- 0.23, N = 3 SE +/- 0.41, N = 3 SE +/- 0.15, N = 15 SE +/- 0.13, N = 4 SE +/- 0.52, N = 3 SE +/- 0.34, N = 3 SE +/- 2.32, N = 3 SE +/- 1.51, N = 3 20.15 20.52 20.94 21.38 21.54 22.06 22.38 22.58 23.01 23.45 23.83 24.55 25.82 25.98 26.48 27.22 28.03 30.56 37.10 44.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7402P EPYC 7282 EPYC 7542 EPYC 7452 EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7F32 EPYC 7302P EPYC 7502 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 9 18 27 36 45 Min: 20.07 / Avg: 20.15 / Max: 20.19 Min: 20.25 / Avg: 20.52 / Max: 20.9 Min: 20.61 / Avg: 20.94 / Max: 21.36 Min: 21.24 / Avg: 21.38 / Max: 21.64 Min: 19.53 / Avg: 21.54 / Max: 22.71 Min: 21 / Avg: 22.06 / Max: 22.67 Min: 21.08 / Avg: 22.38 / Max: 23.78 Min: 22.42 / Avg: 22.58 / Max: 22.67 Min: 22.3 / Avg: 23.01 / Max: 23.42 Min: 21.05 / Avg: 23.45 / Max: 27.68 Min: 23.56 / Avg: 23.83 / Max: 24.36 Min: 23.62 / Avg: 24.55 / Max: 25.7 Min: 25.59 / Avg: 25.82 / Max: 26.28 Min: 25.17 / Avg: 25.98 / Max: 26.53 Min: 25.52 / Avg: 26.48 / Max: 27.51 Min: 26.94 / Avg: 27.22 / Max: 27.53 Min: 27.25 / Avg: 28.03 / Max: 29.02 Min: 30.06 / Avg: 30.56 / Max: 31.22 Min: 33.91 / Avg: 37.1 / Max: 41.62 Min: 41.32 / Avg: 44.33 / Max: 45.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7452 EPYC 7F52 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7502 EPYC 7302P EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7702 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.21, N = 8 SE +/- 0.23, N = 3 SE +/- 0.18, N = 10 SE +/- 0.31, N = 3 SE +/- 0.11, N = 3 SE +/- 0.37, N = 3 SE +/- 0.61, N = 12 SE +/- 0.28, N = 3 SE +/- 0.18, N = 3 SE +/- 0.25, N = 3 SE +/- 0.29, N = 3 SE +/- 0.31, N = 15 SE +/- 0.18, N = 15 SE +/- 0.36, N = 4 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 18.55 19.02 20.00 20.13 20.22 20.25 21.25 21.57 21.89 22.29 23.00 23.23 23.83 23.85 24.25 24.42 24.97 28.08 28.15 36.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7452 EPYC 7F52 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7502 EPYC 7302P EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7702 8 16 24 32 40 Min: 18.46 / Avg: 18.55 / Max: 18.6 Min: 18.89 / Avg: 19.02 / Max: 19.26 Min: 19.41 / Avg: 20 / Max: 21.27 Min: 19.89 / Avg: 20.13 / Max: 20.59 Min: 19.04 / Avg: 20.22 / Max: 20.93 Min: 19.66 / Avg: 20.25 / Max: 20.73 Min: 21.04 / Avg: 21.25 / Max: 21.4 Min: 20.9 / Avg: 21.57 / Max: 22.16 Min: 19.57 / Avg: 21.89 / Max: 25.19 Min: 21.75 / Avg: 22.29 / Max: 22.7 Min: 22.72 / Avg: 23 / Max: 23.33 Min: 22.73 / Avg: 23.23 / Max: 23.51 Min: 23.3 / Avg: 23.83 / Max: 24.31 Min: 22.12 / Avg: 23.85 / Max: 26.12 Min: 23.38 / Avg: 24.25 / Max: 25.52 Min: 23.48 / Avg: 24.42 / Max: 25.1 Min: 24.66 / Avg: 24.97 / Max: 25.17 Min: 27.7 / Avg: 28.08 / Max: 28.39 Min: 28.1 / Avg: 28.15 / Max: 28.25 Min: 36.28 / Avg: 36.64 / Max: 36.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
RAMspeed SMP This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer EPYC 7402P EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7252 EPYC 7282 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7F52 EPYC 7662 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7532 9K 18K 27K 36K 45K SE +/- 57.49, N = 3 SE +/- 57.07, N = 3 SE +/- 262.24, N = 3 SE +/- 84.86, N = 3 SE +/- 104.09, N = 3 SE +/- 586.59, N = 3 SE +/- 652.75, N = 15 SE +/- 1308.67, N = 15 SE +/- 1302.14, N = 15 SE +/- 711.02, N = 15 SE +/- 1278.01, N = 15 SE +/- 1424.04, N = 15 SE +/- 1430.66, N = 15 SE +/- 1247.03, N = 15 SE +/- 1015.18, N = 15 SE +/- 583.46, N = 15 SE +/- 7.94, N = 3 SE +/- 7.64, N = 3 SE +/- 6.76, N = 3 SE +/- 11.31, N = 3 40792.92 40558.04 40458.23 40334.91 40098.62 39389.32 38609.83 37912.29 37812.30 37495.07 36438.99 36193.24 34154.76 33147.39 31875.18 30578.87 29855.75 29752.76 29733.57 29592.44 1. (CC) gcc options: -O3 -march=native Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer EPYC 7402P EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7252 EPYC 7282 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7F52 EPYC 7662 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7532 7K 14K 21K 28K 35K Min: 40715.13 / Avg: 40792.92 / Max: 40905.15 Min: 40474.32 / Avg: 40558.04 / Max: 40667.1 Min: 39956.62 / Avg: 40458.23 / Max: 40841.69 Min: 40187.86 / Avg: 40334.91 / Max: 40481.82 Min: 39971.87 / Avg: 40098.62 / Max: 40305.01 Min: 38770.78 / Avg: 39389.32 / Max: 40561.91 Min: 32113.62 / Avg: 38609.83 / Max: 40643.86 Min: 29776 / Avg: 37912.29 / Max: 41166.9 Min: 29689.09 / Avg: 37812.3 / Max: 40880.42 Min: 32725.36 / Avg: 37495.07 / Max: 40076.38 Min: 29762.68 / Avg: 36438.99 / Max: 40720.85 Min: 29591.39 / Avg: 36193.24 / Max: 40756.03 Min: 29697.37 / Avg: 34154.76 / Max: 40916.91 Min: 29697.43 / Avg: 33147.39 / Max: 40789.11 Min: 29896.6 / Avg: 31875.18 / Max: 41391.48 Min: 29669.64 / Avg: 30578.87 / Max: 36747.81 Min: 29845.63 / Avg: 29855.75 / Max: 29871.4 Min: 29743.69 / Avg: 29752.76 / Max: 29767.94 Min: 29723.86 / Avg: 29733.57 / Max: 29746.57 Min: 29573.86 / Avg: 29592.44 / Max: 29612.91 1. (CC) gcc options: -O3 -march=native
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 70 140 210 280 350 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.40, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.46, N = 3 SE +/- 0.31, N = 3 SE +/- 0.23, N = 3 SE +/- 0.64, N = 3 SE +/- 0.55, N = 3 SE +/- 0.75, N = 3 SE +/- 0.59, N = 3 SE +/- 0.78, N = 3 SE +/- 0.81, N = 3 SE +/- 0.59, N = 3 SE +/- 0.17, N = 3 SE +/- 0.43, N = 3 SE +/- 0.46, N = 3 SE +/- 0.42, N = 3 SE +/- 0.45, N = 3 57.51 57.77 67.16 67.38 83.82 89.86 89.98 91.87 97.72 99.12 108.46 126.67 132.61 155.20 166.07 212.16 254.24 286.30 303.59 309.85 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 60 120 180 240 300 Min: 57.23 / Avg: 57.51 / Max: 57.76 Min: 57.69 / Avg: 57.77 / Max: 57.9 Min: 66.55 / Avg: 67.16 / Max: 67.92 Min: 67.07 / Avg: 67.37 / Max: 67.95 Min: 83.25 / Avg: 83.82 / Max: 84.14 Min: 89.2 / Avg: 89.86 / Max: 90.75 Min: 89.65 / Avg: 89.98 / Max: 90.59 Min: 91.56 / Avg: 91.87 / Max: 92.33 Min: 97.08 / Avg: 97.72 / Max: 99 Min: 98.3 / Avg: 99.12 / Max: 100.18 Min: 107.41 / Avg: 108.46 / Max: 109.91 Min: 125.55 / Avg: 126.67 / Max: 127.57 Min: 131.57 / Avg: 132.61 / Max: 134.13 Min: 154.04 / Avg: 155.2 / Max: 156.75 Min: 165.23 / Avg: 166.07 / Max: 167.2 Min: 211.93 / Avg: 212.16 / Max: 212.49 Min: 253.65 / Avg: 254.24 / Max: 255.07 Min: 285.71 / Avg: 286.3 / Max: 287.21 Min: 302.91 / Avg: 303.59 / Max: 304.34 Min: 309.02 / Avg: 309.85 / Max: 310.56 1. (CXX) g++ options: -O2 -lOpenCL
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 7F32 EPYC 7232P EPYC 7F52 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7502P EPYC 7F72 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7532 5K 10K 15K 20K 25K SE +/- 110.61, N = 3 SE +/- 118.88, N = 3 SE +/- 319.14, N = 3 SE +/- 217.91, N = 3 SE +/- 42.70, N = 3 SE +/- 323.02, N = 3 SE +/- 240.93, N = 3 SE +/- 211.99, N = 3 SE +/- 280.35, N = 3 SE +/- 155.52, N = 12 SE +/- 259.43, N = 4 SE +/- 159.08, N = 3 SE +/- 221.68, N = 5 SE +/- 142.85, N = 3 SE +/- 187.50, N = 3 SE +/- 43.29, N = 3 SE +/- 280.41, N = 3 SE +/- 122.79, N = 13 SE +/- 239.42, N = 3 SE +/- 72.02, N = 3 23233.00 21863.96 21582.81 20819.97 20799.73 19909.57 19739.79 19338.54 19075.07 18522.93 18480.81 18249.35 18207.44 17798.97 17666.54 17395.25 16873.45 15257.55 15123.65 13145.41 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image EPYC 7F32 EPYC 7232P EPYC 7F52 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7502P EPYC 7F72 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7532 4K 8K 12K 16K 20K Min: 23060.25 / Avg: 23233 / Max: 23439.06 Min: 21744.25 / Avg: 21863.96 / Max: 22101.73 Min: 21033.37 / Avg: 21582.81 / Max: 22138.83 Min: 20414.34 / Avg: 20819.97 / Max: 21160.81 Min: 20746.03 / Avg: 20799.73 / Max: 20884.09 Min: 19512.83 / Avg: 19909.57 / Max: 20549.49 Min: 19334.26 / Avg: 19739.79 / Max: 20167.93 Min: 18915.03 / Avg: 19338.54 / Max: 19567.68 Min: 18515.2 / Avg: 19075.07 / Max: 19381.66 Min: 17705.49 / Avg: 18522.93 / Max: 19423.51 Min: 17861.61 / Avg: 18480.81 / Max: 18982.48 Min: 18085.74 / Avg: 18249.35 / Max: 18567.46 Min: 17459.27 / Avg: 18207.44 / Max: 18715.49 Min: 17553.05 / Avg: 17798.97 / Max: 18047.88 Min: 17297.65 / Avg: 17666.54 / Max: 17909.38 Min: 17319.17 / Avg: 17395.25 / Max: 17469.08 Min: 16389.37 / Avg: 16873.45 / Max: 17360.71 Min: 14565.09 / Avg: 15257.55 / Max: 16057.81 Min: 14646.18 / Avg: 15123.65 / Max: 15393.69 Min: 13030.5 / Avg: 13145.41 / Max: 13278.1 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7F52 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7F72 EPYC 7552 EPYC 7F32 EPYC 7532 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7272 EPYC 7502 EPYC 7452 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.36, N = 3 SE +/- 0.25, N = 3 SE +/- 0.59, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 3 SE +/- 0.63, N = 4 SE +/- 0.45, N = 3 SE +/- 0.07, N = 3 SE +/- 0.32, N = 3 SE +/- 0.16, N = 3 SE +/- 0.46, N = 3 SE +/- 0.53, N = 3 SE +/- 0.32, N = 3 SE +/- 0.69, N = 5 SE +/- 0.29, N = 3 SE +/- 0.56, N = 3 SE +/- 0.52, N = 3 SE +/- 0.72, N = 13 SE +/- 0.41, N = 3 SE +/- 0.10, N = 3 34.19 37.63 39.09 40.55 41.93 43.04 43.44 43.80 44.73 46.62 47.22 47.35 49.89 51.37 51.62 52.38 52.80 53.59 53.94 54.74 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7F52 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7F72 EPYC 7552 EPYC 7F32 EPYC 7532 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7272 EPYC 7502 EPYC 7452 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 33.77 / Avg: 34.19 / Max: 34.92 Min: 37.26 / Avg: 37.63 / Max: 38.09 Min: 38.42 / Avg: 39.09 / Max: 40.26 Min: 40.06 / Avg: 40.55 / Max: 41.07 Min: 41.6 / Avg: 41.93 / Max: 42.12 Min: 41.75 / Avg: 43.04 / Max: 44.74 Min: 42.62 / Avg: 43.44 / Max: 44.16 Min: 43.68 / Avg: 43.8 / Max: 43.92 Min: 44.1 / Avg: 44.73 / Max: 45.17 Min: 46.43 / Avg: 46.62 / Max: 46.93 Min: 46.51 / Avg: 47.22 / Max: 48.09 Min: 46.51 / Avg: 47.35 / Max: 48.33 Min: 49.33 / Avg: 49.89 / Max: 50.44 Min: 49.55 / Avg: 51.37 / Max: 53.43 Min: 51.09 / Avg: 51.62 / Max: 52.07 Min: 51.61 / Avg: 52.38 / Max: 53.46 Min: 51.87 / Avg: 52.8 / Max: 53.67 Min: 46.74 / Avg: 53.59 / Max: 57.7 Min: 53.23 / Avg: 53.94 / Max: 54.63 Min: 54.55 / Avg: 54.74 / Max: 54.9
RAMspeed SMP This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer EPYC 7502 EPYC 7F52 EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7452 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7702 EPYC 7282 EPYC 7552 EPYC 7662 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7532 10K 20K 30K 40K 50K SE +/- 326.35, N = 3 SE +/- 167.17, N = 3 SE +/- 312.09, N = 3 SE +/- 111.00, N = 3 SE +/- 26.84, N = 3 SE +/- 673.18, N = 3 SE +/- 431.79, N = 9 SE +/- 1250.59, N = 15 SE +/- 1258.25, N = 15 SE +/- 605.87, N = 4 SE +/- 1719.43, N = 12 SE +/- 1144.65, N = 15 SE +/- 1473.07, N = 12 SE +/- 1655.33, N = 15 SE +/- 1586.62, N = 15 SE +/- 1607.53, N = 15 SE +/- 1238.87, N = 15 SE +/- 479.86, N = 3 SE +/- 13.00, N = 3 SE +/- 10.39, N = 3 44796.65 44653.46 44525.20 44173.72 44086.19 43731.73 43604.57 42868.08 42824.88 42471.92 39912.22 39879.28 39856.39 39609.55 34508.28 34465.10 32746.75 31430.04 30954.76 30795.24 1. (CC) gcc options: -O3 -march=native Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer EPYC 7502 EPYC 7F52 EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7452 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7702 EPYC 7282 EPYC 7552 EPYC 7662 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7532 8K 16K 24K 32K 40K Min: 44145.93 / Avg: 44796.65 / Max: 45166.05 Min: 44325.37 / Avg: 44653.46 / Max: 44873.2 Min: 44078.73 / Avg: 44525.2 / Max: 45126.2 Min: 43953.63 / Avg: 44173.72 / Max: 44308.89 Min: 44054.6 / Avg: 44086.19 / Max: 44139.58 Min: 42436.77 / Avg: 43731.73 / Max: 44698.31 Min: 40992.79 / Avg: 43604.57 / Max: 45136.73 Min: 30970.36 / Avg: 42868.08 / Max: 45395.84 Min: 30852 / Avg: 42824.88 / Max: 45551.95 Min: 40736.88 / Avg: 42471.92 / Max: 43372.52 Min: 30839.49 / Avg: 39912.22 / Max: 44942.72 Min: 30735.34 / Avg: 39879.28 / Max: 44320.16 Min: 30861.15 / Avg: 39856.39 / Max: 45375.85 Min: 30905.95 / Avg: 39609.55 / Max: 44976.02 Min: 30711.53 / Avg: 34508.28 / Max: 44831.88 Min: 30757.27 / Avg: 34465.1 / Max: 45059.28 Min: 30899.28 / Avg: 32746.75 / Max: 44718.56 Min: 30933.72 / Avg: 31430.04 / Max: 32389.56 Min: 30928.79 / Avg: 30954.76 / Max: 30968.63 Min: 30777.85 / Avg: 30795.24 / Max: 30813.79 1. (CC) gcc options: -O3 -march=native
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: 1000 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.4068 0.8136 1.2204 1.6272 2.034 SE +/- 0.004, N = 3 SE +/- 0.004, N = 6 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 0.368 0.374 0.418 0.422 0.484 0.516 0.517 0.538 0.556 0.564 0.600 0.690 0.783 0.844 0.921 1.155 1.476 1.655 1.713 1.808 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: 1000 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.36 / Avg: 0.37 / Max: 0.39 Min: 0.42 / Avg: 0.42 / Max: 0.42 Min: 0.42 / Avg: 0.42 / Max: 0.43 Min: 0.48 / Avg: 0.48 / Max: 0.49 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.52 / Avg: 0.52 / Max: 0.52 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.55 / Avg: 0.56 / Max: 0.56 Min: 0.56 / Avg: 0.56 / Max: 0.57 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 0.69 / Avg: 0.69 / Max: 0.7 Min: 0.78 / Avg: 0.78 / Max: 0.78 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 0.92 / Avg: 0.92 / Max: 0.93 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.47 / Avg: 1.48 / Max: 1.48 Min: 1.65 / Avg: 1.66 / Max: 1.66 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.8 / Avg: 1.81 / Max: 1.81 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: 1000 - Clients: 250 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 150K 300K 450K 600K 750K SE +/- 7809.46, N = 3 SE +/- 7702.49, N = 6 SE +/- 1356.41, N = 3 SE +/- 3817.77, N = 3 SE +/- 2717.04, N = 3 SE +/- 1730.67, N = 3 SE +/- 1331.68, N = 3 SE +/- 1195.56, N = 3 SE +/- 724.69, N = 3 SE +/- 1014.57, N = 3 SE +/- 144.21, N = 3 SE +/- 1409.40, N = 3 SE +/- 555.77, N = 3 SE +/- 1077.02, N = 3 SE +/- 619.63, N = 3 SE +/- 402.38, N = 3 SE +/- 247.67, N = 3 SE +/- 175.33, N = 3 SE +/- 228.56, N = 3 SE +/- 215.85, N = 3 680891 671452 598734 593198 517604 485489 484567 465233 450377 443685 417043 362848 319683 296331 271729 216661 169435 151111 146025 138357 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: 1000 - Clients: 250 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 120K 240K 360K 480K 600K Min: 668077.17 / Avg: 680891.1 / Max: 695032.12 Min: 641670.74 / Avg: 671451.59 / Max: 692136.61 Min: 596198.71 / Avg: 598733.94 / Max: 600837.62 Min: 588437.25 / Avg: 593198.23 / Max: 600748.42 Min: 513346.16 / Avg: 517604.43 / Max: 522657.15 Min: 482047.03 / Avg: 485488.6 / Max: 487529.28 Min: 482176.8 / Avg: 484566.79 / Max: 486779.65 Min: 462949.41 / Avg: 465233.32 / Max: 466988.38 Min: 449445.05 / Avg: 450376.81 / Max: 451804.14 Min: 441750.91 / Avg: 443684.54 / Max: 445184.12 Min: 416754.87 / Avg: 417043.13 / Max: 417195.63 Min: 360029.39 / Avg: 362848.08 / Max: 364277.87 Min: 319110.96 / Avg: 319682.59 / Max: 320793.98 Min: 294542.54 / Avg: 296331.36 / Max: 298265.02 Min: 270504.51 / Avg: 271728.67 / Max: 272507.76 Min: 215859.43 / Avg: 216661.44 / Max: 217120.02 Min: 168939.25 / Avg: 169434.57 / Max: 169687.21 Min: 150760.55 / Avg: 151110.81 / Max: 151300.29 Min: 145741.05 / Avg: 146025.04 / Max: 146477.26 Min: 137940.02 / Avg: 138357.37 / Max: 138661.61 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 168.49 169.79 169.80 171.91 173.88 174.46 178.64 178.69 179.75 180.85 181.45 182.49 187.00 190.98 192.27 216.88 258.08 283.43 288.52 294.77
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: 1000 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7452 EPYC 7272 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7402P EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 0.0126 0.0252 0.0378 0.0504 0.063 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 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 SE +/- 0.001, N = 4 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 0.044 0.045 0.045 0.045 0.045 0.045 0.045 0.046 0.046 0.046 0.046 0.049 0.049 0.049 0.049 0.051 0.052 0.054 0.056 0.056 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: 1000 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7452 EPYC 7272 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7402P EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.06 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.06 / Avg: 0.06 / Max: 0.06 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: 1000 - Clients: 1 - Mode: Read Only EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 5K 10K 15K 20K 25K SE +/- 379.01, N = 3 SE +/- 262.17, N = 3 SE +/- 176.46, N = 3 SE +/- 159.06, N = 3 SE +/- 27.06, N = 3 SE +/- 89.85, N = 3 SE +/- 348.99, N = 3 SE +/- 118.63, N = 3 SE +/- 103.27, N = 3 SE +/- 89.99, N = 3 SE +/- 206.48, N = 3 SE +/- 93.22, N = 3 SE +/- 40.49, N = 3 SE +/- 285.19, N = 4 SE +/- 259.08, N = 3 SE +/- 162.08, N = 3 SE +/- 184.41, N = 3 SE +/- 205.26, N = 3 SE +/- 129.62, N = 3 SE +/- 42.01, N = 3 22544 22326 22218 22181 22181 22180 22073 21983 21921 21827 21786 20488 20469 20394 20319 19628 19432 18592 18091 17838 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: 1000 - Clients: 1 - Mode: Read Only EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 4K 8K 12K 16K 20K Min: 21988.7 / Avg: 22543.58 / Max: 23268.26 Min: 21982.24 / Avg: 22326.42 / Max: 22841.08 Min: 21966.52 / Avg: 22218.05 / Max: 22558.21 Min: 21867.11 / Avg: 22181.49 / Max: 22380.89 Min: 22144.29 / Avg: 22180.58 / Max: 22233.5 Min: 22003.76 / Avg: 22179.9 / Max: 22298.85 Min: 21597.21 / Avg: 22073.2 / Max: 22753.29 Min: 21821.23 / Avg: 21983.11 / Max: 22214.27 Min: 21791.82 / Avg: 21920.87 / Max: 22125.05 Min: 21648.3 / Avg: 21827.19 / Max: 21933.74 Min: 21391.67 / Avg: 21786.32 / Max: 22088.94 Min: 20323.51 / Avg: 20487.99 / Max: 20646.25 Min: 20410.79 / Avg: 20468.57 / Max: 20546.61 Min: 19799.7 / Avg: 20393.53 / Max: 21057.77 Min: 19805.7 / Avg: 20318.57 / Max: 20639.03 Min: 19360.7 / Avg: 19628.5 / Max: 19920.57 Min: 19156.62 / Avg: 19432.42 / Max: 19782.39 Min: 18182.08 / Avg: 18591.87 / Max: 18817.89 Min: 17944.02 / Avg: 18090.74 / Max: 18349.19 Min: 17753.67 / Avg: 17837.68 / Max: 17880.04 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: 1000 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 0.0788 0.1576 0.2364 0.3152 0.394 SE +/- 0.000, N = 3 SE +/- 0.000, 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.079 0.082 0.089 0.093 0.104 0.110 0.110 0.111 0.115 0.116 0.125 0.140 0.170 0.185 0.190 0.244 0.311 0.345 0.347 0.350 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: 1000 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 1 2 3 4 5 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.12 / Max: 0.12 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.18 / Avg: 0.18 / Max: 0.19 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 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: 1000 - Clients: 50 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 140K 280K 420K 560K 700K SE +/- 612.15, N = 3 SE +/- 1659.83, N = 3 SE +/- 1013.03, N = 3 SE +/- 538.07, N = 3 SE +/- 855.42, N = 3 SE +/- 4360.78, N = 3 SE +/- 167.60, N = 3 SE +/- 1326.84, N = 3 SE +/- 1376.11, N = 3 SE +/- 1307.57, N = 3 SE +/- 1172.74, N = 3 SE +/- 4015.34, N = 3 SE +/- 760.44, N = 3 SE +/- 210.97, N = 3 SE +/- 860.38, N = 3 SE +/- 398.28, N = 3 SE +/- 410.57, N = 3 SE +/- 286.53, N = 3 SE +/- 336.86, N = 3 SE +/- 249.03, N = 3 633598 607575 562236 536335 480664 454581 454418 452444 435226 433630 398910 356698 294909 270875 263984 204685 161102 145057 144134 142856 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: 1000 - Clients: 50 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 110K 220K 330K 440K 550K Min: 632438.66 / Avg: 633598.25 / Max: 634518.17 Min: 604567.98 / Avg: 607575.16 / Max: 610296.44 Min: 560347.38 / Avg: 562236.39 / Max: 563815.25 Min: 535427.04 / Avg: 536334.68 / Max: 537289.19 Min: 478981.64 / Avg: 480664.49 / Max: 481772.8 Min: 445915.12 / Avg: 454581.17 / Max: 459765.01 Min: 454144.33 / Avg: 454417.73 / Max: 454722.38 Min: 450197.59 / Avg: 452444.24 / Max: 454790.64 Min: 432870.8 / Avg: 435226.23 / Max: 437636.85 Min: 431757.16 / Avg: 433629.6 / Max: 436146.86 Min: 396826.2 / Avg: 398910.04 / Max: 400884.24 Min: 348813.87 / Avg: 356697.84 / Max: 361963.13 Min: 294099.18 / Avg: 294908.85 / Max: 296428.63 Min: 270580.77 / Avg: 270875.21 / Max: 271284.17 Min: 262374.62 / Avg: 263983.97 / Max: 265316.13 Min: 204217.79 / Avg: 204684.58 / Max: 205476.96 Min: 160460.54 / Avg: 161102.44 / Max: 161866.88 Min: 144518.75 / Avg: 145057.16 / Max: 145496.32 Min: 143572.54 / Avg: 144133.83 / Max: 144737.19 Min: 142388.22 / Avg: 142856.38 / Max: 143237.67 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: 1000 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7542 EPYC 7F52 EPYC 7282 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7F72 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 0.6806 1.3612 2.0418 2.7224 3.403 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.012, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.018, N = 3 SE +/- 0.014, N = 3 1.833 1.957 1.988 2.010 2.025 2.034 2.055 2.060 2.068 2.147 2.194 2.213 2.227 2.248 2.260 2.261 2.582 2.629 2.882 3.025 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: 1000 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7542 EPYC 7F52 EPYC 7282 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7F72 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 2 4 6 8 10 Min: 1.82 / Avg: 1.83 / Max: 1.84 Min: 1.95 / Avg: 1.96 / Max: 1.97 Min: 1.97 / Avg: 1.99 / Max: 2.01 Min: 1.99 / Avg: 2.01 / Max: 2.04 Min: 2.02 / Avg: 2.02 / Max: 2.04 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.04 / Avg: 2.06 / Max: 2.07 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.05 / Avg: 2.07 / Max: 2.08 Min: 2.13 / Avg: 2.15 / Max: 2.16 Min: 2.18 / Avg: 2.19 / Max: 2.2 Min: 2.2 / Avg: 2.21 / Max: 2.23 Min: 2.22 / Avg: 2.23 / Max: 2.23 Min: 2.25 / Avg: 2.25 / Max: 2.25 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.56 / Avg: 2.58 / Max: 2.6 Min: 2.62 / Avg: 2.63 / Max: 2.64 Min: 2.85 / Avg: 2.88 / Max: 2.91 Min: 3 / Avg: 3.03 / Max: 3.04 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: 1000 - Clients: 50 - Mode: Read Write EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7542 EPYC 7F52 EPYC 7282 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7F72 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 6K 12K 18K 24K 30K SE +/- 87.51, N = 3 SE +/- 56.11, N = 3 SE +/- 145.91, N = 3 SE +/- 181.28, N = 3 SE +/- 72.55, N = 3 SE +/- 44.63, N = 3 SE +/- 73.41, N = 3 SE +/- 86.74, N = 3 SE +/- 109.61, N = 3 SE +/- 97.96, N = 3 SE +/- 64.18, N = 3 SE +/- 72.06, N = 3 SE +/- 20.70, N = 3 SE +/- 15.63, N = 3 SE +/- 43.10, N = 3 SE +/- 61.43, N = 3 SE +/- 100.89, N = 3 SE +/- 47.49, N = 3 SE +/- 107.90, N = 3 SE +/- 75.97, N = 3 27291 25563 25160 24881 24704 24590 24336 24286 24192 23297 22796 22607 22463 22254 22128 22124 19373 19021 17355 16534 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: 1000 - Clients: 50 - Mode: Read Write EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7542 EPYC 7F52 EPYC 7282 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7F72 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 5K 10K 15K 20K 25K Min: 27122.42 / Avg: 27290.81 / Max: 27416.33 Min: 25457.36 / Avg: 25562.69 / Max: 25648.86 Min: 24878.09 / Avg: 25160.16 / Max: 25366 Min: 24567.9 / Avg: 24881.03 / Max: 25195.86 Min: 24560.91 / Avg: 24703.66 / Max: 24797.53 Min: 24500.86 / Avg: 24589.57 / Max: 24642.44 Min: 24218.24 / Avg: 24335.92 / Max: 24470.79 Min: 24138.58 / Avg: 24285.77 / Max: 24438.88 Min: 24059.94 / Avg: 24191.65 / Max: 24409.26 Min: 23109.48 / Avg: 23296.72 / Max: 23440.29 Min: 22691.26 / Avg: 22795.6 / Max: 22912.51 Min: 22463.24 / Avg: 22606.6 / Max: 22691.08 Min: 22428.64 / Avg: 22463.42 / Max: 22500.27 Min: 22230.64 / Avg: 22254.24 / Max: 22283.78 Min: 22045.04 / Avg: 22127.67 / Max: 22190.26 Min: 22014.04 / Avg: 22124.27 / Max: 22226.37 Min: 19243.58 / Avg: 19373.27 / Max: 19571.98 Min: 18944.83 / Avg: 19021.17 / Max: 19108.28 Min: 17168.07 / Avg: 17355.07 / Max: 17541.86 Min: 16433.25 / Avg: 16534.17 / Max: 16683 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: 1000 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.153 0.306 0.459 0.612 0.765 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, 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 +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.143 0.146 0.159 0.161 0.198 0.211 0.211 0.225 0.228 0.245 0.255 0.290 0.334 0.352 0.367 0.456 0.591 0.666 0.670 0.680 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: 1000 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.25 / Avg: 0.26 / Max: 0.26 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.68 / Avg: 0.68 / Max: 0.68 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: 1000 - Clients: 100 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 150K 300K 450K 600K 750K SE +/- 1979.45, N = 3 SE +/- 3649.95, N = 3 SE +/- 4128.12, N = 3 SE +/- 2561.67, N = 3 SE +/- 1742.02, N = 3 SE +/- 484.01, N = 3 SE +/- 1456.20, N = 3 SE +/- 534.92, N = 3 SE +/- 481.91, N = 3 SE +/- 269.40, N = 3 SE +/- 1253.21, N = 3 SE +/- 647.23, N = 3 SE +/- 578.92, N = 3 SE +/- 221.72, N = 3 SE +/- 237.11, N = 3 SE +/- 317.07, N = 3 SE +/- 440.23, N = 3 SE +/- 122.43, N = 3 SE +/- 282.55, N = 3 SE +/- 116.38, N = 3 703406 683975 631040 623171 506125 475214 473444 445001 438754 408226 392376 345271 299776 283951 272783 219503 169323 150221 149308 147105 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: 1000 - Clients: 100 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 120K 240K 360K 480K 600K Min: 700059.48 / Avg: 703406.49 / Max: 706911.07 Min: 677575.99 / Avg: 683975.18 / Max: 690216.83 Min: 623626.35 / Avg: 631039.66 / Max: 637893.74 Min: 618057.73 / Avg: 623171.49 / Max: 625999.8 Min: 502686.88 / Avg: 506124.8 / Max: 508333.05 Min: 474343.21 / Avg: 475213.99 / Max: 476015.6 Min: 471852.79 / Avg: 473444.33 / Max: 476352.39 Min: 444155.82 / Avg: 445000.55 / Max: 445991.47 Min: 437804.64 / Avg: 438753.97 / Max: 439372.84 Min: 407943.45 / Avg: 408226.49 / Max: 408765.06 Min: 390015.68 / Avg: 392375.76 / Max: 394286.62 Min: 344389.34 / Avg: 345271.42 / Max: 346532.94 Min: 298700.71 / Avg: 299775.71 / Max: 300685.69 Min: 283511.64 / Avg: 283950.66 / Max: 284224.23 Min: 272354.55 / Avg: 272782.71 / Max: 273173.35 Min: 219004.1 / Avg: 219503.27 / Max: 220091.57 Min: 168770.72 / Avg: 169322.65 / Max: 170192.71 Min: 150063.06 / Avg: 150220.92 / Max: 150461.96 Min: 148785.99 / Avg: 149307.5 / Max: 149756.72 Min: 146879.97 / Avg: 147104.64 / Max: 147269.66 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: 1000 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7542 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7352 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7262 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.014, N = 3 SE +/- 0.019, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.013, N = 3 SE +/- 0.019, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.032, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.013, N = 3 3.137 3.269 3.272 3.287 3.307 3.313 3.333 3.366 3.456 3.460 3.572 3.600 3.696 3.748 3.797 3.906 5.218 5.275 5.401 5.630 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: 1000 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7542 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7352 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7262 2 4 6 8 10 Min: 3.12 / Avg: 3.14 / Max: 3.17 Min: 3.23 / Avg: 3.27 / Max: 3.29 Min: 3.26 / Avg: 3.27 / Max: 3.3 Min: 3.27 / Avg: 3.29 / Max: 3.3 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 3.31 / Avg: 3.31 / Max: 3.32 Min: 3.32 / Avg: 3.33 / Max: 3.35 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.45 / Avg: 3.46 / Max: 3.47 Min: 3.44 / Avg: 3.46 / Max: 3.49 Min: 3.55 / Avg: 3.57 / Max: 3.59 Min: 3.57 / Avg: 3.6 / Max: 3.63 Min: 3.69 / Avg: 3.7 / Max: 3.7 Min: 3.74 / Avg: 3.75 / Max: 3.75 Min: 3.79 / Avg: 3.8 / Max: 3.81 Min: 3.85 / Avg: 3.91 / Max: 3.96 Min: 5.2 / Avg: 5.22 / Max: 5.24 Min: 5.26 / Avg: 5.28 / Max: 5.3 Min: 5.38 / Avg: 5.4 / Max: 5.42 Min: 5.6 / Avg: 5.63 / Max: 5.65 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: 1000 - Clients: 100 - Mode: Read Write EPYC 7542 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7352 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7262 7K 14K 21K 28K 35K SE +/- 147.71, N = 3 SE +/- 182.35, N = 3 SE +/- 132.62, N = 3 SE +/- 70.45, N = 3 SE +/- 57.62, N = 3 SE +/- 33.78, N = 3 SE +/- 82.99, N = 3 SE +/- 93.09, N = 3 SE +/- 52.15, N = 3 SE +/- 118.59, N = 3 SE +/- 101.40, N = 3 SE +/- 147.21, N = 3 SE +/- 9.73, N = 3 SE +/- 24.50, N = 3 SE +/- 42.24, N = 3 SE +/- 210.97, N = 3 SE +/- 44.39, N = 3 SE +/- 48.99, N = 3 SE +/- 38.90, N = 3 SE +/- 42.70, N = 3 31925 30635 30608 30472 30264 30234 30056 29755 28983 28946 28052 27817 27104 26710 26353 25631 19178 18968 18526 17773 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: 1000 - Clients: 100 - Mode: Read Write EPYC 7542 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7352 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7262 6K 12K 18K 24K 30K Min: 31629.49 / Avg: 31924.55 / Max: 32084.7 Min: 30422.57 / Avg: 30634.68 / Max: 30997.65 Min: 30344.25 / Avg: 30608.03 / Max: 30764.02 Min: 30351.66 / Avg: 30472.2 / Max: 30595.65 Min: 30148.99 / Avg: 30264.23 / Max: 30322.74 Min: 30166.75 / Avg: 30234.16 / Max: 30271.83 Min: 29898.19 / Avg: 30055.53 / Max: 30179.97 Min: 29586.2 / Avg: 29754.83 / Max: 29907.47 Min: 28879.4 / Avg: 28983.04 / Max: 29045.02 Min: 28709.38 / Avg: 28946.44 / Max: 29071.66 Min: 27946.46 / Avg: 28051.59 / Max: 28254.36 Min: 27578.49 / Avg: 27817.02 / Max: 28085.76 Min: 27089.74 / Avg: 27103.73 / Max: 27122.43 Min: 26674.67 / Avg: 26710.42 / Max: 26757.31 Min: 26282.22 / Avg: 26352.9 / Max: 26428.32 Min: 25306.01 / Avg: 25631.36 / Max: 26026.7 Min: 19092.39 / Avg: 19177.91 / Max: 19241.32 Min: 18870.47 / Avg: 18968.29 / Max: 19022.11 Min: 18453.24 / Avg: 18526.01 / Max: 18586.25 Min: 17717.75 / Avg: 17772.88 / Max: 17856.94 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: 1000 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 4 8 12 16 20 SE +/- 0.025, N = 3 SE +/- 0.019, N = 3 SE +/- 0.024, N = 3 SE +/- 0.044, N = 3 SE +/- 0.032, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.025, N = 3 SE +/- 0.043, N = 3 SE +/- 0.032, N = 3 SE +/- 0.006, N = 3 SE +/- 0.043, N = 3 SE +/- 0.052, N = 3 SE +/- 0.010, N = 3 SE +/- 0.046, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.037, N = 3 SE +/- 0.034, N = 3 7.011 7.286 7.300 7.301 7.376 7.549 7.557 7.714 7.835 8.110 8.158 8.419 8.556 9.875 10.600 10.634 13.473 14.122 14.772 14.814 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: 1000 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 4 8 12 16 20 Min: 6.96 / Avg: 7.01 / Max: 7.04 Min: 7.25 / Avg: 7.29 / Max: 7.31 Min: 7.26 / Avg: 7.3 / Max: 7.34 Min: 7.26 / Avg: 7.3 / Max: 7.39 Min: 7.34 / Avg: 7.38 / Max: 7.44 Min: 7.54 / Avg: 7.55 / Max: 7.56 Min: 7.55 / Avg: 7.56 / Max: 7.57 Min: 7.7 / Avg: 7.71 / Max: 7.72 Min: 7.8 / Avg: 7.84 / Max: 7.88 Min: 8.05 / Avg: 8.11 / Max: 8.19 Min: 8.11 / Avg: 8.16 / Max: 8.22 Min: 8.41 / Avg: 8.42 / Max: 8.43 Min: 8.47 / Avg: 8.56 / Max: 8.6 Min: 9.78 / Avg: 9.88 / Max: 9.95 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 10.56 / Avg: 10.63 / Max: 10.72 Min: 13.46 / Avg: 13.47 / Max: 13.49 Min: 14.1 / Avg: 14.12 / Max: 14.13 Min: 14.7 / Avg: 14.77 / Max: 14.82 Min: 14.76 / Avg: 14.81 / Max: 14.88 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: 1000 - Clients: 250 - Mode: Read Write EPYC 7542 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 124.58, N = 3 SE +/- 88.24, N = 3 SE +/- 193.77, N = 3 SE +/- 113.22, N = 3 SE +/- 144.22, N = 3 SE +/- 31.18, N = 3 SE +/- 21.38, N = 3 SE +/- 42.20, N = 3 SE +/- 101.89, N = 3 SE +/- 165.61, N = 3 SE +/- 120.80, N = 3 SE +/- 19.61, N = 3 SE +/- 147.07, N = 3 SE +/- 133.71, N = 3 SE +/- 22.87, N = 3 SE +/- 103.35, N = 3 SE +/- 13.52, N = 3 SE +/- 11.78, N = 3 SE +/- 42.54, N = 3 SE +/- 39.46, N = 3 35712 34366 34356 34328 33948 33185 33122 32507 31947 30874 30684 29719 29266 25340 23600 23530 18564 17712 16933 16885 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: 1000 - Clients: 250 - Mode: Read Write EPYC 7542 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 6K 12K 18K 24K 30K Min: 35567.36 / Avg: 35712.36 / Max: 35960.34 Min: 34258.42 / Avg: 34366.01 / Max: 34540.96 Min: 33968.85 / Avg: 34356.37 / Max: 34553.08 Min: 34126.13 / Avg: 34327.72 / Max: 34517.82 Min: 33659.87 / Avg: 33948.31 / Max: 34094.55 Min: 33124.22 / Avg: 33185.44 / Max: 33226.34 Min: 33079.4 / Avg: 33121.84 / Max: 33147.58 Min: 32448.63 / Avg: 32507.36 / Max: 32589.21 Min: 31756.67 / Avg: 31947.17 / Max: 32105.07 Min: 30551.36 / Avg: 30873.5 / Max: 31101.24 Min: 30449.94 / Avg: 30683.77 / Max: 30853.3 Min: 29693.76 / Avg: 29719.02 / Max: 29757.63 Min: 29102.33 / Avg: 29266.2 / Max: 29559.66 Min: 25137.62 / Avg: 25339.61 / Max: 25592.38 Min: 23558.13 / Avg: 23599.78 / Max: 23636.98 Min: 23337.98 / Avg: 23529.58 / Max: 23692.55 Min: 18540.42 / Avg: 18564.06 / Max: 18587.26 Min: 17699.56 / Avg: 17711.97 / Max: 17735.53 Min: 16874.5 / Avg: 16933.07 / Max: 17015.81 Min: 16814.19 / Avg: 16885.02 / Max: 16950.57 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
BYTE Unix Benchmark This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7642 EPYC 7272 EPYC 7502P EPYC 7252 EPYC 7452 EPYC 7552 EPYC 7232P EPYC 7532 EPYC 7282 EPYC 7662 EPYC 7352 9M 18M 27M 36M 45M SE +/- 290111.25, N = 3 SE +/- 472119.65, N = 6 SE +/- 216768.78, N = 3 SE +/- 436419.16, N = 5 SE +/- 217072.87, N = 3 SE +/- 367535.20, N = 3 SE +/- 226875.87, N = 3 SE +/- 288205.93, N = 3 SE +/- 472480.22, N = 3 SE +/- 229640.42, N = 3 SE +/- 155536.72, N = 3 SE +/- 137924.77, N = 3 SE +/- 130216.74, N = 3 SE +/- 486609.08, N = 3 SE +/- 253533.19, N = 3 SE +/- 252864.20, N = 3 SE +/- 226742.78, N = 3 SE +/- 165385.16, N = 3 SE +/- 198080.38, N = 3 SE +/- 166454.26, N = 3 40212653.6 39633515.4 39446298.1 34728740.7 34006118.7 33922674.2 33817633.6 33745274.1 33558264.8 33456314.6 33234938.3 33230145.2 33048937.0 32982666.1 32835766.0 32409435.2 32270334.2 31997433.8 31996287.3 31911088.8 Result Confidence
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7642 EPYC 7272 EPYC 7502P EPYC 7252 EPYC 7452 EPYC 7552 EPYC 7232P EPYC 7532 EPYC 7282 EPYC 7662 EPYC 7352 7M 14M 21M 28M 35M Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2 Min: 37414193 / Avg: 39633515.43 / Max: 40556935 Min: 39016803.3 / Avg: 39446298.07 / Max: 39712200.1 Min: 33693824.3 / Avg: 34728740.74 / Max: 35856987.7 Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5 Min: 33506863.3 / Avg: 33922674.2 / Max: 34655529.5 Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225 Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6 Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7 Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694 Min: 32942651.5 / Avg: 33234938.3 / Max: 33473284.4 Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3 Min: 32797065.1 / Avg: 33048936.97 / Max: 33232228.1 Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1 Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2 Min: 31904966 / Avg: 32409435.17 / Max: 32692557.6 Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7 Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1 Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3 Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2
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: 1000 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7F32 EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7452 EPYC 7662 EPYC 7F52 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7262 EPYC 7252 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 0.323 0.341 0.343 0.346 0.348 0.348 0.348 0.350 0.351 0.351 0.351 0.353 0.363 0.364 0.368 0.373 0.374 0.390 0.400 0.403 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: 1000 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7F32 EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7452 EPYC 7662 EPYC 7F52 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7262 EPYC 7252 1 2 3 4 5 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.34 / Avg: 0.34 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.38 / Avg: 0.39 / Max: 0.4 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.4 / Avg: 0.4 / Max: 0.41 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: 1000 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7F32 EPYC 7702 EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7F52 EPYC 7452 EPYC 7662 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7262 EPYC 7252 700 1400 2100 2800 3500 SE +/- 28.94, N = 3 SE +/- 28.38, N = 3 SE +/- 15.96, N = 3 SE +/- 3.64, N = 3 SE +/- 18.01, N = 3 SE +/- 17.32, N = 3 SE +/- 26.42, N = 3 SE +/- 27.23, N = 3 SE +/- 1.38, N = 3 SE +/- 13.16, N = 3 SE +/- 17.22, N = 3 SE +/- 9.34, N = 3 SE +/- 16.59, N = 3 SE +/- 19.16, N = 3 SE +/- 12.96, N = 3 SE +/- 31.89, N = 3 SE +/- 37.57, N = 3 SE +/- 36.25, N = 3 SE +/- 23.86, N = 3 SE +/- 13.05, N = 3 3103 2935 2914 2891 2877 2877 2872 2859 2852 2850 2845 2835 2757 2745 2717 2680 2673 2568 2498 2482 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: 1000 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7F32 EPYC 7702 EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7F52 EPYC 7452 EPYC 7662 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7262 EPYC 7252 500 1000 1500 2000 2500 Min: 3062.29 / Avg: 3103.44 / Max: 3159.28 Min: 2901.28 / Avg: 2935.34 / Max: 2991.69 Min: 2881.99 / Avg: 2913.86 / Max: 2931.47 Min: 2883.86 / Avg: 2891.13 / Max: 2895.01 Min: 2840.72 / Avg: 2876.63 / Max: 2897.01 Min: 2844.57 / Avg: 2877.05 / Max: 2903.7 Min: 2824.25 / Avg: 2872.16 / Max: 2915.42 Min: 2806.49 / Avg: 2859.08 / Max: 2897.62 Min: 2849.66 / Avg: 2851.95 / Max: 2854.42 Min: 2823.33 / Avg: 2849.63 / Max: 2863.69 Min: 2825.52 / Avg: 2845.46 / Max: 2879.74 Min: 2817.49 / Avg: 2835.09 / Max: 2849.31 Min: 2724.8 / Avg: 2756.58 / Max: 2780.72 Min: 2714.71 / Avg: 2744.76 / Max: 2780.38 Min: 2695.19 / Avg: 2717.14 / Max: 2740.04 Min: 2630.77 / Avg: 2680.14 / Max: 2739.79 Min: 2611.35 / Avg: 2672.99 / Max: 2741.03 Min: 2506.37 / Avg: 2568.17 / Max: 2631.9 Min: 2451.18 / Avg: 2497.82 / Max: 2529.91 Min: 2458.31 / Avg: 2481.71 / Max: 2503.41 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
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 7232P EPYC 7262 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7252 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7352 3 6 9 12 15 SE +/- 0.1578188, N = 3 SE +/- 0.1052585, N = 15 SE +/- 0.0121655, N = 3 SE +/- 0.0017475, N = 3 SE +/- 0.0065112, N = 3 SE +/- 0.0080390, N = 3 SE +/- 0.0059694, N = 3 SE +/- 0.0002745, N = 3 SE +/- 0.0051250, N = 3 SE +/- 0.0005818, N = 3 SE +/- 0.0043546, N = 3 SE +/- 0.0000619, N = 3 SE +/- 0.0018526, N = 3 SE +/- 0.0009813, N = 3 SE +/- 0.0003677, N = 3 SE +/- 0.0033424, N = 3 SE +/- 0.0024663, N = 3 SE +/- 0.0011629, N = 3 SE +/- 0.0010920, N = 3 SE +/- 0.0031335, N = 3 11.8314800 10.9138750 9.5929839 9.2130346 8.6221570 8.2625257 7.9071273 7.8200074 7.7575322 7.7384578 7.7021942 7.6941152 7.6937696 7.5875978 7.5321392 7.5164994 7.4761666 7.4229073 7.3683532 7.1588623 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi Result Confidence
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7252 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7352 3 6 9 12 15 Min: 11.56 / Avg: 11.83 / Max: 12.1 Min: 10.14 / Avg: 10.91 / Max: 11.48 Min: 9.57 / Avg: 9.59 / Max: 9.62 Min: 9.21 / Avg: 9.21 / Max: 9.22 Min: 8.62 / Avg: 8.62 / Max: 8.64 Min: 8.25 / Avg: 8.26 / Max: 8.27 Min: 7.9 / Avg: 7.91 / Max: 7.92 Min: 7.82 / Avg: 7.82 / Max: 7.82 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 7.74 / Avg: 7.74 / Max: 7.74 Min: 7.7 / Avg: 7.7 / Max: 7.71 Min: 7.69 / Avg: 7.69 / Max: 7.69 Min: 7.69 / Avg: 7.69 / Max: 7.7 Min: 7.59 / Avg: 7.59 / Max: 7.59 Min: 7.53 / Avg: 7.53 / Max: 7.53 Min: 7.51 / Avg: 7.52 / Max: 7.52 Min: 7.47 / Avg: 7.48 / Max: 7.48 Min: 7.42 / Avg: 7.42 / Max: 7.43 Min: 7.37 / Avg: 7.37 / Max: 7.37 Min: 7.15 / Avg: 7.16 / Max: 7.16 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
Renaissance Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7F52 EPYC 7552 EPYC 7532 EPYC 7352 EPYC 7402P EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 SE +/- 1.64, N = 5 SE +/- 11.31, N = 25 SE +/- 13.49, N = 25 SE +/- 15.99, N = 20 SE +/- 11.21, N = 25 SE +/- 13.97, N = 25 SE +/- 11.04, N = 25 SE +/- 21.33, N = 25 SE +/- 23.32, N = 20 SE +/- 14.00, N = 25 SE +/- 14.93, N = 25 SE +/- 11.79, N = 25 SE +/- 21.47, N = 25 SE +/- 25.67, N = 25 SE +/- 22.93, N = 25 SE +/- 12.51, N = 25 SE +/- 1.52, N = 5 SE +/- 15.21, N = 25 SE +/- 14.80, N = 25 SE +/- 15.81, N = 25 204.36 231.51 241.25 241.79 243.14 246.88 250.68 268.58 269.25 271.20 275.81 276.42 282.25 287.37 364.78 368.41 370.48 432.49 441.46 466.72 Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7F52 EPYC 7552 EPYC 7532 EPYC 7352 EPYC 7402P EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 200.37 / Avg: 204.36 / Max: 208.19 Min: 186.86 / Avg: 231.51 / Max: 348.08 Min: 180.66 / Avg: 241.25 / Max: 373.27 Min: 185.18 / Avg: 241.79 / Max: 384.77 Min: 188.94 / Avg: 243.14 / Max: 319.52 Min: 175.84 / Avg: 246.88 / Max: 335.73 Min: 170.97 / Avg: 250.68 / Max: 320.09 Min: 189.05 / Avg: 268.58 / Max: 624.53 Min: 189.88 / Avg: 269.25 / Max: 637.24 Min: 217.65 / Avg: 271.19 / Max: 387.98 Min: 199.24 / Avg: 275.81 / Max: 366.89 Min: 206.33 / Avg: 276.42 / Max: 340.46 Min: 193.18 / Avg: 282.25 / Max: 625.34 Min: 192.05 / Avg: 287.37 / Max: 640.46 Min: 211.41 / Avg: 364.78 / Max: 468.13 Min: 316.64 / Avg: 368.41 / Max: 507.82 Min: 366.9 / Avg: 370.48 / Max: 375.93 Min: 361.13 / Avg: 432.49 / Max: 579.95 Min: 381.45 / Avg: 441.46 / Max: 592.92 Min: 386.04 / Avg: 466.72 / Max: 622.34
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 13 26 39 52 65 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 4 SE +/- 0.00, N = 12 SE +/- 0.00, N = 13 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 58.82 55.56 50.00 50.00 40.00 37.04 37.04 35.71 33.33 33.33 30.30 26.32 24.39 21.13 19.48 15.21 12.20 10.99 10.31 10.20 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 12 24 36 48 60 Min: 58.82 / Avg: 58.82 / Max: 58.82 Min: 55.56 / Avg: 55.56 / Max: 55.56 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 26.32 / Avg: 26.32 / Max: 26.32 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 20.83 / Avg: 21.13 / Max: 21.28 Min: 19.23 / Avg: 19.48 / Max: 19.61 Min: 15.15 / Avg: 15.21 / Max: 15.38 Min: 12.2 / Avg: 12.2 / Max: 12.2 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 10.31 / Avg: 10.31 / Max: 10.31 Min: 10.2 / Avg: 10.2 / Max: 10.2
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 60 120 180 240 300 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 45.43 45.57 53.49 53.83 67.63 72.85 72.87 75.18 79.73 81.62 88.68 103.23 110.04 128.23 138.76 176.76 216.15 248.28 259.91 263.95 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 50 100 150 200 250 Min: 45.41 / Avg: 45.43 / Max: 45.46 Min: 45.55 / Avg: 45.57 / Max: 45.6 Min: 53.48 / Avg: 53.49 / Max: 53.5 Min: 53.81 / Avg: 53.83 / Max: 53.85 Min: 67.59 / Avg: 67.63 / Max: 67.66 Min: 72.69 / Avg: 72.85 / Max: 72.94 Min: 72.83 / Avg: 72.87 / Max: 72.93 Min: 75.11 / Avg: 75.18 / Max: 75.24 Min: 79.71 / Avg: 79.73 / Max: 79.77 Min: 81.43 / Avg: 81.62 / Max: 81.8 Min: 88.62 / Avg: 88.68 / Max: 88.73 Min: 103.17 / Avg: 103.23 / Max: 103.27 Min: 109.88 / Avg: 110.04 / Max: 110.19 Min: 128.18 / Avg: 128.23 / Max: 128.29 Min: 138.68 / Avg: 138.76 / Max: 138.85 Min: 176.66 / Avg: 176.76 / Max: 176.83 Min: 216.04 / Avg: 216.15 / Max: 216.26 Min: 248.24 / Avg: 248.28 / Max: 248.3 Min: 259.78 / Avg: 259.91 / Max: 259.98 Min: 263.92 / Avg: 263.95 / Max: 263.99 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7302P EPYC 7452 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7232P EPYC 7702 EPYC 7272 EPYC 7352 EPYC 7252 30 60 90 120 150 SE +/- 0.28, N = 3 SE +/- 1.34, N = 3 SE +/- 0.02, N = 3 SE +/- 0.61, N = 3 SE +/- 0.10, N = 3 SE +/- 1.16, N = 6 SE +/- 0.64, N = 3 SE +/- 0.61, N = 3 SE +/- 0.03, N = 3 SE +/- 0.70, N = 3 SE +/- 0.48, N = 3 SE +/- 0.70, N = 3 SE +/- 0.68, N = 3 SE +/- 0.27, N = 3 SE +/- 0.79, N = 3 SE +/- 0.67, N = 3 SE +/- 0.78, N = 3 SE +/- 1.22, N = 7 SE +/- 0.67, N = 3 SE +/- 1.52, N = 3 90.77 95.40 97.84 104.22 104.76 105.10 105.42 105.44 106.23 106.27 107.17 107.25 107.44 108.65 109.74 109.88 111.03 112.75 112.87 117.16 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7302P EPYC 7452 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7232P EPYC 7702 EPYC 7272 EPYC 7352 EPYC 7252 20 40 60 80 100 Min: 90.42 / Avg: 90.77 / Max: 91.33 Min: 92.75 / Avg: 95.4 / Max: 97.06 Min: 97.81 / Avg: 97.84 / Max: 97.86 Min: 103.43 / Avg: 104.22 / Max: 105.42 Min: 104.62 / Avg: 104.76 / Max: 104.95 Min: 103.25 / Avg: 105.1 / Max: 110.63 Min: 104.56 / Avg: 105.42 / Max: 106.68 Min: 104.66 / Avg: 105.44 / Max: 106.63 Min: 106.17 / Avg: 106.23 / Max: 106.28 Min: 104.87 / Avg: 106.27 / Max: 106.98 Min: 106.36 / Avg: 107.17 / Max: 108.03 Min: 106.3 / Avg: 107.25 / Max: 108.62 Min: 106.6 / Avg: 107.44 / Max: 108.79 Min: 108.37 / Avg: 108.65 / Max: 109.18 Min: 108.16 / Avg: 109.74 / Max: 110.58 Min: 108.53 / Avg: 109.88 / Max: 110.59 Min: 109.9 / Avg: 111.03 / Max: 112.54 Min: 109.7 / Avg: 112.75 / Max: 117.75 Min: 112.12 / Avg: 112.87 / Max: 114.21 Min: 114.36 / Avg: 117.16 / Max: 119.57 1. (CXX) g++ options: -O2 -lOpenCL
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7232P EPYC 7272 EPYC 7402P EPYC 7252 EPYC 7282 EPYC 7352 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 2K 4K 6K 8K 10K SE +/- 84.62, N = 3 SE +/- 56.43, N = 3 SE +/- 63.84, N = 3 SE +/- 19.99, N = 3 SE +/- 74.06, N = 3 SE +/- 9.98, N = 3 SE +/- 31.67, N = 3 SE +/- 75.43, N = 3 SE +/- 38.69, N = 3 SE +/- 22.62, N = 3 SE +/- 59.36, N = 3 SE +/- 45.72, N = 3 SE +/- 67.32, N = 3 SE +/- 51.03, N = 3 SE +/- 72.87, N = 3 SE +/- 67.10, N = 3 SE +/- 69.06, N = 3 SE +/- 49.67, N = 3 SE +/- 38.94, N = 3 SE +/- 55.27, N = 3 10471.3 10244.2 9851.8 9816.4 9507.9 9011.8 9002.0 8962.6 8906.2 8883.6 8470.3 8456.8 8415.7 8367.0 8254.8 8193.8 7229.5 7149.7 6361.2 6319.4 1. (CXX) g++ options: -rdynamic Result Confidence
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7232P EPYC 7272 EPYC 7402P EPYC 7252 EPYC 7282 EPYC 7352 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 2K 4K 6K 8K 10K Min: 10350.7 / Avg: 10471.27 / Max: 10634.4 Min: 10164 / Avg: 10244.23 / Max: 10353.1 Min: 9769.2 / Avg: 9851.77 / Max: 9977.4 Min: 9795.6 / Avg: 9816.43 / Max: 9856.4 Min: 9415.7 / Avg: 9507.9 / Max: 9654.4 Min: 8991.8 / Avg: 9011.77 / Max: 9021.9 Min: 8939.4 / Avg: 9002.03 / Max: 9041.5 Min: 8857.8 / Avg: 8962.63 / Max: 9109 Min: 8829.1 / Avg: 8906.2 / Max: 8950.5 Min: 8858.7 / Avg: 8883.63 / Max: 8928.8 Min: 8388.4 / Avg: 8470.33 / Max: 8585.7 Min: 8399.3 / Avg: 8456.77 / Max: 8547.1 Min: 8327.9 / Avg: 8415.7 / Max: 8548 Min: 8286.7 / Avg: 8366.97 / Max: 8461.7 Min: 8159.2 / Avg: 8254.83 / Max: 8397.9 Min: 8080 / Avg: 8193.77 / Max: 8312.3 Min: 7104.2 / Avg: 7229.47 / Max: 7342.5 Min: 7055.1 / Avg: 7149.67 / Max: 7223.3 Min: 6314.4 / Avg: 6361.2 / Max: 6438.5 Min: 6256.4 / Avg: 6319.43 / Max: 6429.6 1. (CXX) g++ options: -rdynamic
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 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 93.92 95.51 111.26 112.62 114.29 114.73 114.78 115.32 115.39 115.71 115.83 116.10 116.60 119.58 120.96 121.55 127.68 135.68 140.57 143.40 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 93.85 / Avg: 93.92 / Max: 94.02 Min: 95.39 / Avg: 95.51 / Max: 95.63 Min: 111.16 / Avg: 111.26 / Max: 111.36 Min: 112.54 / Avg: 112.62 / Max: 112.69 Min: 114.18 / Avg: 114.29 / Max: 114.34 Min: 114.64 / Avg: 114.73 / Max: 114.79 Min: 114.74 / Avg: 114.78 / Max: 114.82 Min: 115.1 / Avg: 115.32 / Max: 115.53 Min: 115.28 / Avg: 115.39 / Max: 115.49 Min: 115.66 / Avg: 115.71 / Max: 115.79 Min: 115.47 / Avg: 115.83 / Max: 116.05 Min: 115.98 / Avg: 116.1 / Max: 116.19 Min: 116.42 / Avg: 116.6 / Max: 116.8 Min: 119.53 / Avg: 119.58 / Max: 119.63 Min: 120.77 / Avg: 120.96 / Max: 121.17 Min: 121.53 / Avg: 121.54 / Max: 121.58 Min: 127.57 / Avg: 127.68 / Max: 127.89 Min: 135.6 / Avg: 135.68 / Max: 135.77 Min: 140.43 / Avg: 140.57 / Max: 140.71 Min: 143.24 / Avg: 143.4 / Max: 143.52
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7532 EPYC 7272 EPYC 7502P EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7252 EPYC 7402P EPYC 7F32 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7232P EPYC 7552 EPYC 7702 EPYC 7662 40 80 120 160 200 SE +/- 0.23, N = 3 SE +/- 0.40, N = 3 SE +/- 3.56, N = 15 SE +/- 1.72, N = 15 SE +/- 1.19, N = 3 SE +/- 2.62, N = 15 SE +/- 3.83, N = 15 SE +/- 1.45, N = 15 SE +/- 1.44, N = 4 SE +/- 0.49, N = 3 SE +/- 5.98, N = 15 SE +/- 0.39, N = 3 SE +/- 4.11, N = 12 SE +/- 4.90, N = 15 SE +/- 1.64, N = 4 SE +/- 0.30, N = 3 SE +/- 1.76, N = 3 SE +/- 3.10, N = 15 SE +/- 1.96, N = 15 SE +/- 2.74, N = 15 58.39 67.27 88.75 92.79 95.70 96.21 97.49 102.38 103.72 110.10 111.65 114.82 116.35 116.69 117.90 128.43 130.69 135.92 162.69 164.37 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7532 EPYC 7272 EPYC 7502P EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7252 EPYC 7402P EPYC 7F32 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7232P EPYC 7552 EPYC 7702 EPYC 7662 30 60 90 120 150 Min: 57.97 / Avg: 58.39 / Max: 58.77 Min: 66.73 / Avg: 67.27 / Max: 68.06 Min: 74.15 / Avg: 88.75 / Max: 109.73 Min: 81.95 / Avg: 92.79 / Max: 107.52 Min: 93.35 / Avg: 95.7 / Max: 97.15 Min: 82.77 / Avg: 96.21 / Max: 112.24 Min: 80.07 / Avg: 97.49 / Max: 115 Min: 92.81 / Avg: 102.38 / Max: 112.37 Min: 100.57 / Avg: 103.72 / Max: 106.94 Min: 109.29 / Avg: 110.1 / Max: 110.98 Min: 69.36 / Avg: 111.65 / Max: 138.39 Min: 114.39 / Avg: 114.82 / Max: 115.59 Min: 92.23 / Avg: 116.35 / Max: 134.23 Min: 86 / Avg: 116.69 / Max: 132.44 Min: 113.07 / Avg: 117.9 / Max: 120.3 Min: 127.84 / Avg: 128.43 / Max: 128.81 Min: 127.21 / Avg: 130.69 / Max: 132.82 Min: 121.23 / Avg: 135.92 / Max: 159.98 Min: 153.2 / Avg: 162.69 / Max: 174.42 Min: 138.95 / Avg: 164.37 / Max: 181.75 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 7642 EPYC 7552 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7232P EPYC 7F52 EPYC 7662 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 12 24 36 48 60 SE +/- 0.56, N = 8 SE +/- 0.76, N = 15 SE +/- 0.71, N = 5 SE +/- 1.01, N = 12 SE +/- 0.99, N = 15 SE +/- 1.36, N = 12 SE +/- 1.07, N = 15 SE +/- 0.74, N = 15 SE +/- 0.77, N = 15 SE +/- 0.86, N = 15 SE +/- 0.92, N = 15 SE +/- 1.58, N = 15 SE +/- 0.28, N = 3 SE +/- 0.99, N = 15 SE +/- 1.19, N = 12 SE +/- 0.51, N = 3 SE +/- 0.30, N = 3 SE +/- 0.79, N = 12 SE +/- 0.95, N = 12 SE +/- 0.72, N = 12 54.44 52.98 52.73 52.64 47.32 47.28 47.18 46.84 45.93 44.50 44.35 42.79 42.09 37.54 34.01 29.72 28.22 23.41 23.24 19.77 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Cache EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7232P EPYC 7F52 EPYC 7662 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 11 22 33 44 55 Min: 52.63 / Avg: 54.44 / Max: 57.73 Min: 48.06 / Avg: 52.98 / Max: 58.56 Min: 51.28 / Avg: 52.73 / Max: 54.81 Min: 47.11 / Avg: 52.64 / Max: 58.36 Min: 37.01 / Avg: 47.32 / Max: 53.3 Min: 41.69 / Avg: 47.28 / Max: 59.34 Min: 38.21 / Avg: 47.18 / Max: 52.07 Min: 42.17 / Avg: 46.84 / Max: 52.54 Min: 40.11 / Avg: 45.93 / Max: 50.14 Min: 39.8 / Avg: 44.5 / Max: 49.5 Min: 38.89 / Avg: 44.35 / Max: 51.16 Min: 35.13 / Avg: 42.79 / Max: 56.7 Min: 41.72 / Avg: 42.09 / Max: 42.65 Min: 29.32 / Avg: 37.54 / Max: 42.21 Min: 26.12 / Avg: 34.01 / Max: 42.02 Min: 28.72 / Avg: 29.72 / Max: 30.36 Min: 27.66 / Avg: 28.22 / Max: 28.7 Min: 20.23 / Avg: 23.41 / Max: 28.7 Min: 19.86 / Avg: 23.24 / Max: 30.23 Min: 17.06 / Avg: 19.77 / Max: 25.36 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
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 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 40 80 120 160 200 SE +/- 0.73, N = 7 SE +/- 1.11, N = 3 SE +/- 0.89, N = 5 SE +/- 0.83, N = 3 SE +/- 0.37, N = 3 SE +/- 1.00, N = 3 SE +/- 1.21, N = 3 SE +/- 0.64, N = 3 SE +/- 1.36, N = 3 SE +/- 0.28, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 3 SE +/- 0.72, N = 3 SE +/- 1.77, N = 3 SE +/- 1.42, N = 3 SE +/- 1.31, N = 3 SE +/- 2.84, N = 3 SE +/- 1.26, N = 3 SE +/- 1.77, N = 3 SE +/- 3.20, N = 3 65.13 65.39 67.48 67.57 69.08 69.77 70.38 76.33 82.57 84.19 84.24 90.57 103.64 112.44 127.78 133.27 171.15 186.60 191.40 193.75 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 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 40 80 120 160 200 Min: 61.91 / Avg: 65.13 / Max: 67.08 Min: 63.33 / Avg: 65.39 / Max: 67.14 Min: 64.99 / Avg: 67.48 / Max: 69.65 Min: 65.98 / Avg: 67.57 / Max: 68.77 Min: 68.68 / Avg: 69.08 / Max: 69.82 Min: 68.75 / Avg: 69.77 / Max: 71.77 Min: 67.97 / Avg: 70.38 / Max: 71.8 Min: 75.06 / Avg: 76.33 / Max: 77.02 Min: 80.22 / Avg: 82.57 / Max: 84.93 Min: 83.84 / Avg: 84.19 / Max: 84.75 Min: 83.83 / Avg: 84.24 / Max: 84.64 Min: 90.16 / Avg: 90.57 / Max: 91.26 Min: 102.22 / Avg: 103.64 / Max: 104.57 Min: 108.9 / Avg: 112.44 / Max: 114.31 Min: 125.05 / Avg: 127.78 / Max: 129.85 Min: 130.66 / Avg: 133.27 / Max: 134.78 Min: 167.3 / Avg: 171.15 / Max: 176.69 Min: 185.16 / Avg: 186.59 / Max: 189.11 Min: 187.94 / Avg: 191.4 / Max: 193.8 Min: 187.36 / Avg: 193.75 / Max: 197.04 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
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 7F52 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7502 EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7702 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7352 1000 2000 3000 4000 5000 SE +/- 47.65, N = 3 SE +/- 42.67, N = 15 SE +/- 46.79, N = 5 SE +/- 22.02, N = 3 SE +/- 18.16, N = 3 SE +/- 28.74, N = 3 SE +/- 62.71, N = 3 SE +/- 39.43, N = 3 SE +/- 63.25, N = 3 SE +/- 26.53, N = 3 SE +/- 46.38, N = 15 SE +/- 62.88, N = 13 SE +/- 17.16, N = 3 SE +/- 56.97, N = 15 SE +/- 59.72, N = 3 SE +/- 41.94, N = 3 SE +/- 27.91, N = 3 SE +/- 61.81, N = 3 SE +/- 37.40, N = 3 SE +/- 41.76, N = 5 4470.49 4212.78 3976.82 3971.30 3937.80 3927.11 3917.15 3882.01 3881.51 3868.68 3760.37 3740.51 3726.02 3700.30 3688.59 3667.41 3611.31 3588.51 3451.28 3386.62 1. (CC) gcc options: -O3 -mavx2 Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7502 EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7702 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7352 800 1600 2400 3200 4000 Min: 4412.42 / Avg: 4470.49 / Max: 4564.96 Min: 3740.22 / Avg: 4212.78 / Max: 4364.86 Min: 3868.41 / Avg: 3976.82 / Max: 4100.49 Min: 3927.26 / Avg: 3971.3 / Max: 3993.41 Min: 3901.88 / Avg: 3937.8 / Max: 3960.41 Min: 3869.82 / Avg: 3927.11 / Max: 3959.84 Min: 3799.52 / Avg: 3917.15 / Max: 4013.65 Min: 3818.26 / Avg: 3882.01 / Max: 3954.08 Min: 3763.86 / Avg: 3881.51 / Max: 3980.62 Min: 3834.8 / Avg: 3868.68 / Max: 3920.99 Min: 3248.17 / Avg: 3760.37 / Max: 3959.03 Min: 3086.64 / Avg: 3740.51 / Max: 3933.23 Min: 3693 / Avg: 3726.02 / Max: 3750.66 Min: 3308.25 / Avg: 3700.3 / Max: 4010.2 Min: 3570.78 / Avg: 3688.59 / Max: 3764.52 Min: 3608.56 / Avg: 3667.41 / Max: 3748.59 Min: 3565.39 / Avg: 3611.31 / Max: 3661.75 Min: 3495.49 / Avg: 3588.51 / Max: 3705.53 Min: 3381.62 / Avg: 3451.28 / Max: 3509.7 Min: 3300.1 / Avg: 3386.62 / Max: 3537.19 1. (CC) gcc options: -O3 -mavx2
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 96.57 96.97 102.01 109.37 110.01 110.61 110.64 110.86 111.18 111.53 112.07 112.67 112.71 113.44 114.07 114.43 114.56 115.16 115.38 118.03 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 20 40 60 80 100 Min: 96.49 / Avg: 96.57 / Max: 96.7 Min: 96.76 / Avg: 96.97 / Max: 97.13 Min: 101.93 / Avg: 102.01 / Max: 102.12 Min: 109.09 / Avg: 109.37 / Max: 109.82 Min: 109.92 / Avg: 110.01 / Max: 110.18 Min: 110.53 / Avg: 110.61 / Max: 110.77 Min: 110.55 / Avg: 110.64 / Max: 110.81 Min: 110.54 / Avg: 110.86 / Max: 111.04 Min: 111.02 / Avg: 111.18 / Max: 111.49 Min: 111.44 / Avg: 111.53 / Max: 111.59 Min: 112.01 / Avg: 112.07 / Max: 112.17 Min: 112.59 / Avg: 112.67 / Max: 112.75 Min: 112.44 / Avg: 112.71 / Max: 112.84 Min: 113.4 / Avg: 113.44 / Max: 113.5 Min: 113.78 / Avg: 114.07 / Max: 114.27 Min: 114.36 / Avg: 114.42 / Max: 114.54 Min: 114.37 / Avg: 114.56 / Max: 114.9 Min: 114.98 / Avg: 115.16 / Max: 115.31 Min: 115.28 / Avg: 115.38 / Max: 115.54 Min: 117.9 / Avg: 118.03 / Max: 118.22
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 7F52 EPYC 7F72 EPYC 7F32 EPYC 7532 EPYC 7302P EPYC 7262 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7252 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7272 EPYC 7282 EPYC 7232P 30M 60M 90M 120M 150M SE +/- 57668.78, N = 3 SE +/- 547694.92, N = 3 SE +/- 276293.23, N = 3 SE +/- 325493.89, N = 3 SE +/- 258439.14, N = 3 SE +/- 300071.26, N = 3 SE +/- 699142.47, N = 3 SE +/- 534270.03, N = 3 SE +/- 92631.94, N = 3 SE +/- 13013.76, N = 3 SE +/- 117297.02, N = 3 SE +/- 346134.38, N = 3 SE +/- 367613.84, N = 3 SE +/- 61652.84, N = 3 SE +/- 85623.51, N = 3 SE +/- 138505.24, N = 3 SE +/- 43695.86, N = 3 SE +/- 553117.95, N = 3 SE +/- 21654.12, N = 3 SE +/- 79087.77, N = 3 141602033 113303100 106472367 104620000 103276333 100136353 92809700 82508063 79244993 77768500 77105490 75657760 69631237 68816610 66281803 66023410 65842107 54729003 46309610 40677543 1. (CXX) g++ options: -O3 -fopenmp Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7532 EPYC 7302P EPYC 7262 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7252 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7272 EPYC 7282 EPYC 7232P 20M 40M 60M 80M 100M Min: 141487000 / Avg: 141602033.33 / Max: 141666800 Min: 112224900 / Avg: 113303100 / Max: 114009600 Min: 105955800 / Avg: 106472366.67 / Max: 106900600 Min: 104002100 / Avg: 104620000 / Max: 105106400 Min: 102759600 / Avg: 103276333.33 / Max: 103545300 Min: 99550260 / Avg: 100136353.33 / Max: 100541200 Min: 91869130 / Avg: 92809700 / Max: 94176030 Min: 81446530 / Avg: 82508063.33 / Max: 83144630 Min: 79076240 / Avg: 79244993.33 / Max: 79395580 Min: 77749830 / Avg: 77768500 / Max: 77793540 Min: 76917380 / Avg: 77105490 / Max: 77320940 Min: 75166410 / Avg: 75657760 / Max: 76325760 Min: 68899500 / Avg: 69631236.67 / Max: 70059080 Min: 68738250 / Avg: 68816610 / Max: 68938240 Min: 66123390 / Avg: 66281803.33 / Max: 66417340 Min: 65816160 / Avg: 66023410 / Max: 66286210 Min: 65754820 / Avg: 65842106.67 / Max: 65889460 Min: 54086810 / Avg: 54729003.33 / Max: 55830170 Min: 46284070 / Avg: 46309610 / Max: 46352670 Min: 40535410 / Avg: 40677543.33 / Max: 40808720 1. (CXX) g++ options: -O3 -fopenmp
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 7662 EPYC 7642 EPYC 7542 EPYC 7552 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.31, N = 3 SE +/- 0.21, N = 3 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.27, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 SE +/- 0.35, N = 3 SE +/- 0.25, N = 3 SE +/- 0.26, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 37.42 34.80 33.82 33.04 32.30 32.08 31.86 30.10 29.69 29.48 27.86 24.98 24.75 21.62 20.13 15.90 15.03 12.96 12.33 10.98 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7552 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 36.86 / Avg: 37.42 / Max: 37.93 Min: 34.56 / Avg: 34.8 / Max: 35.22 Min: 33.22 / Avg: 33.82 / Max: 34.33 Min: 32.94 / Avg: 33.04 / Max: 33.21 Min: 32.1 / Avg: 32.3 / Max: 32.52 Min: 31.8 / Avg: 32.08 / Max: 32.62 Min: 31.4 / Avg: 31.86 / Max: 32.11 Min: 29.89 / Avg: 30.1 / Max: 30.39 Min: 29.22 / Avg: 29.69 / Max: 30.17 Min: 29.05 / Avg: 29.48 / Max: 30.18 Min: 27.56 / Avg: 27.86 / Max: 28.36 Min: 24.48 / Avg: 24.98 / Max: 25.34 Min: 24.52 / Avg: 24.75 / Max: 24.99 Min: 21.35 / Avg: 21.62 / Max: 22.04 Min: 20.08 / Avg: 20.13 / Max: 20.18 Min: 15.65 / Avg: 15.9 / Max: 16.12 Min: 14.81 / Avg: 15.03 / Max: 15.28 Min: 12.65 / Avg: 12.96 / Max: 13.17 Min: 12.16 / Avg: 12.33 / Max: 12.49 Min: 10.72 / Avg: 10.98 / Max: 11.24
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 1.3253 2.6506 3.9759 5.3012 6.6265 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 8 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 5.89 5.77 5.06 5.01 3.95 3.71 3.69 3.60 3.35 3.35 2.99 2.59 2.45 2.10 1.91 1.50 1.21 1.12 1.02 0.97 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 5.88 / Avg: 5.89 / Max: 5.92 Min: 5.75 / Avg: 5.77 / Max: 5.78 Min: 5.05 / Avg: 5.06 / Max: 5.08 Min: 5 / Avg: 5.01 / Max: 5.03 Min: 3.94 / Avg: 3.95 / Max: 3.95 Min: 3.7 / Avg: 3.71 / Max: 3.72 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.58 / Avg: 3.6 / Max: 3.61 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 2.99 / Avg: 2.99 / Max: 3 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 2.1 / Avg: 2.1 / Max: 2.1 Min: 1.9 / Avg: 1.91 / Max: 1.91 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 1.12 / Avg: 1.12 / Max: 1.12 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 0.97 / Avg: 0.97 / Max: 0.98
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: 100 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7552 EPYC 7F52 EPYC 7642 EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7F72 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7542 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7532 20K 40K 60K 80K 100K SE +/- 14.77, N = 3 SE +/- 98.16, N = 3 SE +/- 215.91, N = 3 SE +/- 2925.14, N = 15 SE +/- 58.89, N = 3 SE +/- 1639.18, N = 15 SE +/- 48.50, N = 3 SE +/- 46.07, N = 3 SE +/- 270.59, N = 3 SE +/- 99.31, N = 3 SE +/- 159.45, N = 3 SE +/- 28.35, N = 3 SE +/- 34.00, N = 3 SE +/- 951.90, N = 3 SE +/- 95.35, N = 3 SE +/- 120.31, N = 3 SE +/- 295.81, N = 3 SE +/- 40.88, N = 3 SE +/- 482.48, N = 3 61568 62139 68835 68979 69107 70290 73660 74361 74842 74949 75192 75301 76141 79050 80200 81683 81848 84809 85230 88694 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: 100 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7552 EPYC 7F52 EPYC 7642 EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7F72 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7542 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7532 15K 30K 45K 60K 75K Min: 61539 / Avg: 61568.33 / Max: 61586 Min: 61998 / Avg: 62139.33 / Max: 62328 Min: 68517 / Avg: 68835 / Max: 69247 Min: 59677 / Avg: 68979.2 / Max: 84033 Min: 69005 / Avg: 69106.67 / Max: 69209 Min: 59832 / Avg: 70290.07 / Max: 83284 Min: 73563 / Avg: 73660 / Max: 73709 Min: 74784 / Avg: 74842 / Max: 74933 Min: 74488 / Avg: 74949 / Max: 75425 Min: 75035 / Avg: 75192.33 / Max: 75376 Min: 74989 / Avg: 75300.67 / Max: 75515 Min: 76107 / Avg: 76140.67 / Max: 76197 Min: 78982 / Avg: 79050 / Max: 79084 Min: 78418 / Avg: 80200.33 / Max: 81671 Min: 81585 / Avg: 81683.33 / Max: 81874 Min: 81658 / Avg: 81848.33 / Max: 82071 Min: 84435 / Avg: 84809 / Max: 85393 Min: 85148 / Avg: 85229.67 / Max: 85274 Min: 87822 / Avg: 88693.67 / Max: 89488 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.33, N = 3 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 0.08, N = 3 SE +/- 0.39, N = 3 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 SE +/- 0.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.31, N = 3 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.74, N = 3 SE +/- 0.18, N = 3 SE +/- 1.38, N = 3 41.73 42.02 47.77 48.27 58.77 61.39 62.29 64.81 68.12 69.33 73.60 84.66 88.35 107.22 114.07 144.84 165.25 192.65 207.16 214.06 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 41.46 / Avg: 41.73 / Max: 41.91 Min: 41.96 / Avg: 42.02 / Max: 42.09 Min: 47.25 / Avg: 47.77 / Max: 48.37 Min: 48.17 / Avg: 48.27 / Max: 48.39 Min: 58.35 / Avg: 58.77 / Max: 59.06 Min: 61.3 / Avg: 61.39 / Max: 61.55 Min: 61.67 / Avg: 62.29 / Max: 63.01 Min: 64.63 / Avg: 64.81 / Max: 65.01 Min: 67.79 / Avg: 68.12 / Max: 68.76 Min: 67.94 / Avg: 69.33 / Max: 70.39 Min: 72.99 / Avg: 73.6 / Max: 74.1 Min: 84.5 / Avg: 84.66 / Max: 84.76 Min: 88.14 / Avg: 88.35 / Max: 88.6 Min: 107.13 / Avg: 107.22 / Max: 107.36 Min: 113.59 / Avg: 114.07 / Max: 114.66 Min: 144.04 / Avg: 144.84 / Max: 145.31 Min: 164.92 / Avg: 165.25 / Max: 165.65 Min: 191.37 / Avg: 192.65 / Max: 193.92 Min: 206.8 / Avg: 207.16 / Max: 207.4 Min: 212.22 / Avg: 214.06 / Max: 216.75
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 7F72 EPYC 7F52 EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7F32 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7642 EPYC 7302P EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7232P 300K 600K 900K 1200K 1500K SE +/- 1619.42, N = 3 SE +/- 2446.24, N = 3 SE +/- 1691.70, N = 3 SE +/- 1012.15, N = 3 SE +/- 3144.17, N = 3 SE +/- 2477.29, N = 3 SE +/- 825.62, N = 3 SE +/- 3450.73, N = 3 SE +/- 4294.50, N = 3 SE +/- 476.77, N = 3 SE +/- 3188.58, N = 3 SE +/- 4135.18, N = 3 SE +/- 375.00, N = 3 SE +/- 2773.38, N = 3 SE +/- 713.77, N = 3 SE +/- 837.79, N = 3 SE +/- 974.55, N = 3 SE +/- 2137.19, N = 3 SE +/- 352.16, N = 3 SE +/- 537.25, N = 3 1220547.1 1179108.0 1149222.6 1146289.6 1128044.2 1121722.0 1116967.3 1104030.2 1094235.6 1089138.1 1085461.2 1083763.6 1082109.0 1072387.8 1068224.4 1058363.8 1049655.9 970567.6 957872.5 948381.6 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 7F72 EPYC 7F52 EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7F32 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7642 EPYC 7302P EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7232P 200K 400K 600K 800K 1000K Min: 1217678.7 / Avg: 1220547.07 / Max: 1223283.9 Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6 Min: 1146924 / Avg: 1149222.63 / Max: 1152522 Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7 Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7 Min: 1116887.2 / Avg: 1121722 / Max: 1125077.2 Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569 Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2 Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4 Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8 Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3 Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7 Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8 Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5 Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5 Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9 Min: 1048319.8 / Avg: 1049655.87 / Max: 1051552.9 Min: 966382.4 / Avg: 970567.57 / Max: 973412.5 Min: 957434.8 / Avg: 957872.47 / Max: 958569.2 Min: 947355.2 / Avg: 948381.6 / Max: 949170.1
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7402P EPYC 7552 EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7662 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7702 EPYC 7232P 400 800 1200 1600 2000 SE +/- 10.58, N = 3 SE +/- 13.35, N = 3 SE +/- 3.76, N = 3 SE +/- 9.67, N = 3 SE +/- 28.17, N = 3 SE +/- 13.45, N = 3 SE +/- 19.81, N = 15 SE +/- 6.08, N = 3 SE +/- 16.76, N = 3 SE +/- 5.00, N = 3 SE +/- 3.61, N = 3 SE +/- 1.00, N = 3 SE +/- 3.33, N = 3 SE +/- 25.93, N = 15 SE +/- 2.08, N = 3 SE +/- 1.86, N = 3 SE +/- 1.53, N = 3 SE +/- 13.30, N = 15 SE +/- 2.33, N = 3 1957 1945 1846 1845 1805 1744 1664 1664 1657 1599 1495 1404 1194 1021 975 878 776 768 741 675 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7402P EPYC 7552 EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7662 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7702 EPYC 7232P 300 600 900 1200 1500 Min: 1941 / Avg: 1957 / Max: 1977 Min: 1923 / Avg: 1944.67 / Max: 1969 Min: 1839 / Avg: 1845.67 / Max: 1852 Min: 1835 / Avg: 1844.67 / Max: 1864 Min: 1749 / Avg: 1804.67 / Max: 1840 Min: 1728 / Avg: 1744.33 / Max: 1771 Min: 1535 / Avg: 1663.87 / Max: 1807 Min: 1654 / Avg: 1664 / Max: 1675 Min: 1625 / Avg: 1656.67 / Max: 1682 Min: 1594 / Avg: 1599 / Max: 1609 Min: 1488 / Avg: 1495 / Max: 1500 Min: 1402 / Avg: 1404 / Max: 1405 Min: 1191 / Avg: 1194.33 / Max: 1201 Min: 802 / Avg: 974.87 / Max: 1155 Min: 875 / Avg: 878 / Max: 882 Min: 774 / Avg: 776.33 / Max: 780 Min: 766 / Avg: 768 / Max: 771 Min: 658 / Avg: 740.67 / Max: 849 Min: 671 / Avg: 675.33 / Max: 679 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 71.65 71.67 75.77 76.22 87.90 92.64 95.20 97.10 99.78 100.63 113.46 128.78 131.51 160.86 165.05 209.48 235.47 287.34 287.40 295.86
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: raytrace EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7352 130 260 390 520 650 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 SE +/- 1.00, N = 3 SE +/- 2.31, N = 3 SE +/- 1.20, N = 3 SE +/- 1.86, N = 3 SE +/- 0.58, N = 3 SE +/- 1.33, N = 3 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 SE +/- 1.86, N = 3 SE +/- 1.45, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 471 474 500 541 544 550 551 552 552 554 558 559 561 561 571 575 575 576 577 585 Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7352 100 200 300 400 500 Min: 471 / Avg: 471.33 / Max: 472 Min: 473 / Avg: 474.33 / Max: 476 Min: 540 / Avg: 541 / Max: 543 Min: 540 / Avg: 544 / Max: 548 Min: 548 / Avg: 550.33 / Max: 552 Min: 549 / Avg: 551.33 / Max: 555 Min: 551 / Avg: 552 / Max: 553 Min: 551 / Avg: 552.33 / Max: 555 Min: 551 / Avg: 554.33 / Max: 557 Min: 557 / Avg: 558.67 / Max: 561 Min: 560 / Avg: 561.33 / Max: 563 Min: 569 / Avg: 570.67 / Max: 573 Min: 571 / Avg: 574.67 / Max: 577 Min: 573 / Avg: 575.33 / Max: 578 Min: 575 / Avg: 576 / Max: 577 Min: 576 / Avg: 576.67 / Max: 577 Min: 584 / Avg: 585 / Max: 586
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 7402P EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7642 150K 300K 450K 600K 750K SE +/- 9550.05, N = 3 SE +/- 9089.41, N = 3 SE +/- 10655.38, N = 3 SE +/- 5123.67, N = 15 SE +/- 7847.93, N = 3 SE +/- 6470.90, N = 15 SE +/- 1413.92, N = 3 SE +/- 827.11, N = 3 SE +/- 1807.12, N = 3 SE +/- 1554.64, N = 3 SE +/- 3588.14, N = 3 SE +/- 705.84, N = 3 SE +/- 1228.44, N = 3 SE +/- 1199.71, N = 3 SE +/- 310.98, N = 3 SE +/- 624.03, N = 3 SE +/- 205.06, N = 3 SE +/- 693.28, N = 3 SE +/- 2603.10, N = 10 SE +/- 410.21, N = 3 717525 686461 654062 627896 585939 580827 535050 463786 433814 425849 422947 367451 345292 321871 318064 307654 305816 289090 276010 275661 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill EPYC 7402P EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7642 120K 240K 360K 480K 600K Min: 705450 / Avg: 717525.33 / Max: 736379 Min: 674470 / Avg: 686460.67 / Max: 704289 Min: 632768 / Avg: 654062 / Max: 665441 Min: 603579 / Avg: 627896.27 / Max: 685131 Min: 576271 / Avg: 585938.67 / Max: 601481 Min: 542172 / Avg: 580827.13 / Max: 616282 Min: 532574 / Avg: 535050.33 / Max: 537471 Min: 462912 / Avg: 463785.67 / Max: 465439 Min: 431309 / Avg: 433814.33 / Max: 437323 Min: 423929 / Avg: 425849 / Max: 428927 Min: 418463 / Avg: 422946.67 / Max: 430041 Min: 366463 / Avg: 367450.67 / Max: 368818 Min: 343235 / Avg: 345292 / Max: 347484 Min: 320633 / Avg: 321871 / Max: 324270 Min: 317495 / Avg: 318064 / Max: 318566 Min: 306827 / Avg: 307654 / Max: 308877 Min: 305412 / Avg: 305816.33 / Max: 306078 Min: 287733 / Avg: 289089.67 / Max: 290016 Min: 269185 / Avg: 276009.6 / Max: 288606 Min: 274953 / Avg: 275661.33 / Max: 276374 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7662 EPYC 7542 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 800K 1600K 2400K 3200K 4000K SE +/- 10849.29, N = 3 SE +/- 1095.28, N = 3 SE +/- 796.92, N = 3 SE +/- 265.85, N = 3 SE +/- 641.33, N = 3 SE +/- 1492.34, N = 3 SE +/- 2152.71, N = 3 SE +/- 1597.95, N = 3 SE +/- 506.19, N = 3 SE +/- 2472.71, N = 3 SE +/- 3534.54, N = 3 SE +/- 1977.94, N = 3 SE +/- 1422.61, N = 3 SE +/- 430.56, N = 3 SE +/- 927.26, N = 3 SE +/- 565.25, N = 3 SE +/- 1214.14, N = 3 SE +/- 1815.08, N = 3 SE +/- 180.03, N = 3 SE +/- 1653.42, N = 3 901115 956334 974709 1017473 1018660 1032227 1034893 1096420 1098850 1331757 1434267 1500570 1651693 1751103 1818303 2541097 2991340 3449200 3482543 3658017 Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7662 EPYC 7542 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 600K 1200K 1800K 2400K 3000K Min: 883545 / Avg: 901115.33 / Max: 920927 Min: 954214 / Avg: 956334.33 / Max: 957871 Min: 973240 / Avg: 974709 / Max: 975979 Min: 1016960 / Avg: 1017473.33 / Max: 1017850 Min: 1017430 / Avg: 1018660 / Max: 1019590 Min: 1029410 / Avg: 1032226.67 / Max: 1034490 Min: 1030910 / Avg: 1034893.33 / Max: 1038300 Min: 1093440 / Avg: 1096420 / Max: 1098910 Min: 1098140 / Avg: 1098850 / Max: 1099830 Min: 1328690 / Avg: 1331756.67 / Max: 1336650 Min: 1428600 / Avg: 1434266.67 / Max: 1440760 Min: 1496910 / Avg: 1500570 / Max: 1503700 Min: 1648870 / Avg: 1651693.33 / Max: 1653410 Min: 1750250 / Avg: 1751103.33 / Max: 1751630 Min: 1816530 / Avg: 1818303.33 / Max: 1819660 Min: 2539990 / Avg: 2541096.67 / Max: 2541850 Min: 2989820 / Avg: 2991340 / Max: 2993740 Min: 3446240 / Avg: 3449200 / Max: 3452500 Min: 3482190 / Avg: 3482543.33 / Max: 3482780 Min: 3655440 / Avg: 3658016.67 / Max: 3661100
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 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40 80 120 160 200 SE +/- 0.24, N = 3 SE +/- 0.45, N = 8 SE +/- 0.57, N = 4 SE +/- 0.79, N = 4 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.08, N = 3 SE +/- 0.46, N = 3 SE +/- 0.20, N = 3 SE +/- 0.41, N = 3 SE +/- 0.31, N = 3 SE +/- 0.03, N = 3 SE +/- 0.99, N = 3 SE +/- 0.38, N = 3 SE +/- 0.69, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.46, N = 3 SE +/- 1.14, N = 3 SE +/- 0.48, N = 3 45.05 45.36 46.45 54.35 55.04 56.19 57.39 57.40 59.47 60.54 60.56 68.34 87.18 97.02 100.99 113.37 133.10 151.14 153.13 162.64 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30 60 90 120 150 Min: 44.57 / Avg: 45.05 / Max: 45.32 Min: 44.01 / Avg: 45.35 / Max: 48.12 Min: 45.49 / Avg: 46.44 / Max: 48.06 Min: 53.22 / Avg: 54.35 / Max: 56.65 Min: 54.79 / Avg: 55.04 / Max: 55.29 Min: 55.69 / Avg: 56.19 / Max: 56.63 Min: 57.23 / Avg: 57.39 / Max: 57.47 Min: 56.58 / Avg: 57.4 / Max: 58.17 Min: 59.21 / Avg: 59.47 / Max: 59.87 Min: 60 / Avg: 60.54 / Max: 61.33 Min: 59.94 / Avg: 60.56 / Max: 60.89 Min: 68.29 / Avg: 68.34 / Max: 68.38 Min: 85.23 / Avg: 87.18 / Max: 88.43 Min: 96.64 / Avg: 97.02 / Max: 97.77 Min: 99.65 / Avg: 100.98 / Max: 101.96 Min: 112.91 / Avg: 113.37 / Max: 113.64 Min: 132.94 / Avg: 133.1 / Max: 133.37 Min: 150.42 / Avg: 151.14 / Max: 151.98 Min: 151.63 / Avg: 153.13 / Max: 155.37 Min: 161.79 / Avg: 162.64 / Max: 163.45 1. (CXX) g++ options: -O2 -lOpenCL
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 32 EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7F52 EPYC 7272 EPYC 7502P EPYC 7642 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 600 1200 1800 2400 3000 SE +/- 5.12, N = 3 SE +/- 3.98, N = 3 SE +/- 5.96, N = 3 SE +/- 2.21, N = 3 SE +/- 4.19, N = 3 SE +/- 3.57, N = 3 SE +/- 8.25, N = 3 SE +/- 5.31, N = 3 SE +/- 5.99, N = 3 SE +/- 1.98, N = 3 SE +/- 1.89, N = 3 SE +/- 1.85, N = 3 SE +/- 3.67, N = 3 SE +/- 3.11, N = 3 SE +/- 1.77, N = 3 SE +/- 1.63, N = 3 SE +/- 12.04, N = 3 SE +/- 8.15, N = 3 SE +/- 7.86, N = 3 SE +/- 6.33, N = 3 2768 2625 2602 2575 2504 2488 2483 2453 2445 2435 2385 2355 2346 2320 2301 2209 2193 2169 2055 1912 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 32 EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7F52 EPYC 7272 EPYC 7502P EPYC 7642 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 500 1000 1500 2000 2500 Min: 2762.43 / Avg: 2767.55 / Max: 2777.78 Min: 2617.8 / Avg: 2624.68 / Max: 2631.58 Min: 2590.67 / Avg: 2601.94 / Max: 2610.97 Min: 2570.69 / Avg: 2575.11 / Max: 2577.32 Min: 2500 / Avg: 2504.19 / Max: 2512.56 Min: 2481.39 / Avg: 2487.57 / Max: 2493.77 Min: 2475.25 / Avg: 2483.5 / Max: 2500 Min: 2444.99 / Avg: 2453.01 / Max: 2463.05 Min: 2439.02 / Avg: 2445.02 / Max: 2457 Min: 2433.09 / Avg: 2435.07 / Max: 2439.02 Min: 2380.95 / Avg: 2384.74 / Max: 2386.63 Min: 2352.94 / Avg: 2354.79 / Max: 2358.49 Min: 2341.92 / Avg: 2345.59 / Max: 2352.94 Min: 2314.81 / Avg: 2320.19 / Max: 2325.58 Min: 2298.85 / Avg: 2300.62 / Max: 2304.15 Min: 2207.51 / Avg: 2209.13 / Max: 2212.39 Min: 2169.2 / Avg: 2193.12 / Max: 2207.51 Min: 2155.17 / Avg: 2169.26 / Max: 2183.41 Min: 2044.99 / Avg: 2054.85 / Max: 2070.39 Min: 1901.14 / Avg: 1912.09 / Max: 1923.08 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
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 7F52 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7F32 EPYC 7502 EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300K 600K 900K 1200K 1500K SE +/- 1967.95, N = 3 SE +/- 902.43, N = 3 SE +/- 1437.35, N = 3 SE +/- 1514.83, N = 3 SE +/- 3199.10, N = 3 SE +/- 1795.11, N = 3 SE +/- 1810.72, N = 3 SE +/- 1318.45, N = 3 SE +/- 1031.15, N = 3 SE +/- 1410.52, N = 3 SE +/- 1128.81, N = 3 SE +/- 1365.15, N = 3 SE +/- 1307.15, N = 3 SE +/- 1742.78, N = 3 SE +/- 530.40, N = 3 SE +/- 1041.29, N = 3 SE +/- 2878.39, N = 3 SE +/- 847.00, N = 3 SE +/- 911.67, N = 3 SE +/- 814.64, N = 3 1410677.5 1401814.5 1307825.7 1296390.3 1291467.3 1289797.0 1280484.3 1279481.9 1278094.7 1274188.2 1270159.2 1259260.4 1210116.8 1190017.2 1183988.8 1175677.7 1145963.1 1129441.6 1073228.3 1059281.8 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 7F52 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7F32 EPYC 7502 EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4 Min: 1400169.2 / Avg: 1401814.5 / Max: 1403279.7 Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4 Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8 Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3 Min: 1286617.4 / Avg: 1289796.97 / Max: 1292830.7 Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2 Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8 Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9 Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4 Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4 Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5 Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5 Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2 Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3 Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4 Min: 1142348.1 / Avg: 1145963.13 / Max: 1151650.6 Min: 1127792.3 / Avg: 1129441.57 / Max: 1130601.1 Min: 1072178.8 / Avg: 1073228.3 / Max: 1075044.3 Min: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.00, N = 13 SE +/- 0.04, N = 3 SE +/- 0.00, N = 10 SE +/- 0.00, N = 12 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 12 SE +/- 0.01, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.01, N = 3 10.99 10.79 9.43 9.35 7.44 6.94 6.90 6.70 6.30 6.29 5.62 4.87 4.57 3.93 3.59 2.84 2.29 2.07 1.92 1.85 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 10.75 / Avg: 10.79 / Max: 10.87 Min: 9.43 / Avg: 9.43 / Max: 9.43 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 7.41 / Avg: 7.44 / Max: 7.46 Min: 6.94 / Avg: 6.94 / Max: 6.94 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 6.29 / Avg: 6.3 / Max: 6.33 Min: 6.29 / Avg: 6.29 / Max: 6.29 Min: 5.62 / Avg: 5.62 / Max: 5.65 Min: 4.85 / Avg: 4.87 / Max: 4.88 Min: 4.57 / Avg: 4.57 / Max: 4.59 Min: 3.92 / Avg: 3.93 / Max: 3.94 Min: 3.58 / Avg: 3.59 / Max: 3.6 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 2.07 / Avg: 2.07 / Max: 2.07 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 1.84 / Avg: 1.85 / Max: 1.86
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 7662 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 700K 1400K 2100K 2800K 3500K SE +/- 10740.36, N = 3 SE +/- 1189.21, N = 3 SE +/- 1127.21, N = 3 SE +/- 2633.01, N = 3 SE +/- 654.96, N = 3 SE +/- 303.13, N = 3 SE +/- 3448.59, N = 3 SE +/- 309.31, N = 3 SE +/- 447.85, N = 3 SE +/- 457.38, N = 3 SE +/- 2523.85, N = 3 SE +/- 1498.01, N = 3 SE +/- 961.47, N = 3 SE +/- 380.19, N = 3 SE +/- 624.08, N = 3 SE +/- 519.05, N = 3 SE +/- 1334.67, N = 3 SE +/- 1631.66, N = 3 SE +/- 1495.89, N = 3 SE +/- 2626.99, N = 3 768962 850424 851940 892001 906002 907005 939492 973193 979887 1171270 1242963 1346997 1457950 1572953 1635677 2276043 2717393 3131150 3147143 3312693 Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7662 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 600K 1200K 1800K 2400K 3000K Min: 748326 / Avg: 768961.67 / Max: 784446 Min: 848503 / Avg: 850424 / Max: 852599 Min: 850031 / Avg: 851939.67 / Max: 853933 Min: 889315 / Avg: 892001.33 / Max: 897267 Min: 905180 / Avg: 906001.67 / Max: 907296 Min: 906549 / Avg: 907005 / Max: 907579 Min: 932634 / Avg: 939491.67 / Max: 943559 Min: 972776 / Avg: 973192.67 / Max: 973797 Min: 979151 / Avg: 979886.67 / Max: 980697 Min: 1170570 / Avg: 1171270 / Max: 1172130 Min: 1238220 / Avg: 1242963.33 / Max: 1246830 Min: 1344170 / Avg: 1346996.67 / Max: 1349270 Min: 1456070 / Avg: 1457950 / Max: 1459240 Min: 1572510 / Avg: 1572953.33 / Max: 1573710 Min: 1634960 / Avg: 1635676.67 / Max: 1636920 Min: 2275080 / Avg: 2276043.33 / Max: 2276860 Min: 2714830 / Avg: 2717393.33 / Max: 2719320 Min: 3128620 / Avg: 3131150 / Max: 3134200 Min: 3144340 / Avg: 3147143.33 / Max: 3149450 Min: 3309830 / Avg: 3312693.33 / Max: 3317940
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: 1 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F52 EPYC 7F72 EPYC 7282 EPYC 7F32 EPYC 7252 EPYC 7272 EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7232P EPYC 7352 EPYC 7542 EPYC 7502P EPYC 7642 EPYC 7402P EPYC 7532 EPYC 7262 30 60 90 120 150 SE +/- 0.86, N = 3 SE +/- 1.58, N = 3 SE +/- 1.88, N = 3 SE +/- 1.93, N = 3 SE +/- 0.62, N = 3 SE +/- 1.73, N = 5 SE +/- 1.65, N = 3 SE +/- 1.33, N = 15 SE +/- 1.17, N = 15 SE +/- 1.98, N = 15 SE +/- 2.83, N = 15 SE +/- 2.47, N = 15 SE +/- 1.60, N = 6 SE +/- 1.63, N = 3 SE +/- 2.61, N = 15 SE +/- 2.71, N = 15 SE +/- 2.47, N = 15 SE +/- 2.01, N = 15 SE +/- 2.07, N = 15 SE +/- 0.72, N = 3 107.63 110.51 124.81 125.79 133.66 135.07 136.46 138.20 138.33 138.60 138.78 139.95 140.05 141.08 141.16 141.89 143.36 144.79 146.03 151.17 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: 1 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F52 EPYC 7F72 EPYC 7282 EPYC 7F32 EPYC 7252 EPYC 7272 EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7232P EPYC 7352 EPYC 7542 EPYC 7502P EPYC 7642 EPYC 7402P EPYC 7532 EPYC 7262 30 60 90 120 150 Min: 106.19 / Avg: 107.63 / Max: 109.17 Min: 108.42 / Avg: 110.51 / Max: 113.6 Min: 121.19 / Avg: 124.81 / Max: 127.53 Min: 123.73 / Avg: 125.79 / Max: 129.66 Min: 132.72 / Avg: 133.66 / Max: 134.82 Min: 129.68 / Avg: 135.07 / Max: 138.4 Min: 133.23 / Avg: 136.46 / Max: 138.66 Min: 127.33 / Avg: 138.2 / Max: 146.64 Min: 130.88 / Avg: 138.33 / Max: 148.14 Min: 127.6 / Avg: 138.6 / Max: 154.28 Min: 124.21 / Avg: 138.77 / Max: 163.33 Min: 125.42 / Avg: 139.95 / Max: 155.81 Min: 135.25 / Avg: 140.05 / Max: 146.18 Min: 138.87 / Avg: 141.08 / Max: 144.27 Min: 122.96 / Avg: 141.16 / Max: 156.42 Min: 126.74 / Avg: 141.89 / Max: 162.45 Min: 130.15 / Avg: 143.36 / Max: 167.38 Min: 133.15 / Avg: 144.79 / Max: 158.57 Min: 127.95 / Avg: 146.03 / Max: 161.11 Min: 149.88 / Avg: 151.17 / Max: 152.37 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: 1 - Clients: 250 - Mode: Read Write EPYC 7F52 EPYC 7F72 EPYC 7282 EPYC 7F32 EPYC 7252 EPYC 7272 EPYC 7502 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7302P EPYC 7552 EPYC 7232P EPYC 7542 EPYC 7352 EPYC 7502P EPYC 7642 EPYC 7402P EPYC 7532 EPYC 7262 500 1000 1500 2000 2500 SE +/- 18.48, N = 3 SE +/- 32.03, N = 3 SE +/- 30.54, N = 3 SE +/- 30.14, N = 3 SE +/- 8.60, N = 3 SE +/- 24.02, N = 5 SE +/- 22.59, N = 3 SE +/- 34.92, N = 15 SE +/- 25.74, N = 15 SE +/- 17.58, N = 15 SE +/- 15.02, N = 15 SE +/- 31.83, N = 15 SE +/- 20.26, N = 6 SE +/- 33.34, N = 15 SE +/- 20.43, N = 3 SE +/- 33.17, N = 15 SE +/- 28.60, N = 15 SE +/- 23.93, N = 15 SE +/- 24.97, N = 15 SE +/- 7.91, N = 3 2325 2266 2006 1989 1871 1854 1835 1817 1814 1814 1811 1798 1787 1782 1775 1773 1755 1733 1719 1655 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: 1 - Clients: 250 - Mode: Read Write EPYC 7F52 EPYC 7F72 EPYC 7282 EPYC 7F32 EPYC 7252 EPYC 7272 EPYC 7502 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7302P EPYC 7552 EPYC 7232P EPYC 7542 EPYC 7352 EPYC 7502P EPYC 7642 EPYC 7402P EPYC 7532 EPYC 7262 400 800 1200 1600 2000 Min: 2292.23 / Avg: 2324.96 / Max: 2356.2 Min: 2203.22 / Avg: 2265.83 / Max: 2308.87 Min: 1962.23 / Avg: 2005.65 / Max: 2064.57 Min: 1929.03 / Avg: 1989.26 / Max: 2021.6 Min: 1855.25 / Avg: 1871.36 / Max: 1884.64 Min: 1807.76 / Avg: 1853.51 / Max: 1929.21 Min: 1805.6 / Avg: 1835.48 / Max: 1879.78 Min: 1536.79 / Avg: 1817.28 / Max: 2018.42 Min: 1625.63 / Avg: 1814.23 / Max: 1963.69 Min: 1707.86 / Avg: 1814.13 / Max: 1966.47 Min: 1688.93 / Avg: 1810.62 / Max: 1911.59 Min: 1608.03 / Avg: 1798.43 / Max: 1997.87 Min: 1710.92 / Avg: 1787.13 / Max: 1849.3 Min: 1600.62 / Avg: 1782.32 / Max: 2036.36 Min: 1735.14 / Avg: 1774.96 / Max: 1802.83 Min: 1541.54 / Avg: 1773.47 / Max: 1975.34 Min: 1496.68 / Avg: 1754.82 / Max: 1925.71 Min: 1578 / Avg: 1733.28 / Max: 1879.86 Min: 1554.13 / Avg: 1719.48 / Max: 1956.56 Min: 1641.56 / Avg: 1654.73 / Max: 1668.9 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.26, N = 3 SE +/- 0.08, N = 3 SE +/- 0.39, N = 3 SE +/- 0.16, N = 3 SE +/- 0.36, N = 3 SE +/- 0.27, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.38, N = 3 SE +/- 0.35, N = 3 62.56 63.82 64.52 66.24 66.64 67.94 68.80 68.96 75.21 76.78 79.29 88.74 89.80 103.24 109.66 111.13 1. (CXX) g++ options: -O3 -fPIC Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 Min: 62.19 / Avg: 62.56 / Max: 62.91 Min: 63.45 / Avg: 63.82 / Max: 64.1 Min: 64.27 / Avg: 64.51 / Max: 64.96 Min: 66.05 / Avg: 66.24 / Max: 66.59 Min: 66.44 / Avg: 66.64 / Max: 66.88 Min: 67.52 / Avg: 67.94 / Max: 68.41 Min: 68.66 / Avg: 68.8 / Max: 68.93 Min: 68.24 / Avg: 68.96 / Max: 69.6 Min: 74.93 / Avg: 75.21 / Max: 75.47 Min: 76.12 / Avg: 76.78 / Max: 77.36 Min: 78.76 / Avg: 79.29 / Max: 79.57 Min: 88.3 / Avg: 88.74 / Max: 89.16 Min: 89.62 / Avg: 89.8 / Max: 90.03 Min: 103.16 / Avg: 103.24 / Max: 103.35 Min: 109.05 / Avg: 109.66 / Max: 110.37 Min: 110.64 / Avg: 111.13 / Max: 111.79 1. (CXX) g++ options: -O3 -fPIC
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7352 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.00030324, N = 3 SE +/- 0.00090133, N = 3 SE +/- 0.00157658, N = 3 SE +/- 0.00213584, N = 4 SE +/- 0.00092600, N = 3 SE +/- 0.00157735, N = 3 SE +/- 0.00121635, N = 3 SE +/- 0.00097007, N = 3 SE +/- 0.00046540, N = 3 SE +/- 0.00073159, N = 3 SE +/- 0.00074092, N = 3 SE +/- 0.00111418, N = 3 SE +/- 0.00121073, N = 3 SE +/- 0.00052958, N = 3 SE +/- 0.00218365, N = 4 SE +/- 0.00145393, N = 3 SE +/- 0.00034313, N = 3 SE +/- 0.00032749, N = 3 SE +/- 0.00118082, N = 3 SE +/- 0.00270938, N = 3 0.12735546 0.13005008 0.13268829 0.14391032 0.14753880 0.14786624 0.14815314 0.14899437 0.14928622 0.15034787 0.15036750 0.15077001 0.15099278 0.15176894 0.15202995 0.15500763 0.15535128 0.15760242 0.15815164 0.16397222 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7352 1 2 3 4 5 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.14 / Avg: 0.14 / Max: 0.15 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: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.17
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7542 EPYC 7502P EPYC 7662 EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7702 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7232P EPYC 7262 EPYC 7252 50K 100K 150K 200K 250K SE +/- 672.62, N = 15 SE +/- 1088.69, N = 3 SE +/- 457.90, N = 3 SE +/- 1070.25, N = 6 SE +/- 194.61, N = 3 SE +/- 440.36, N = 3 SE +/- 411.16, N = 3 SE +/- 101.95, N = 3 SE +/- 517.53, N = 3 SE +/- 233.28, N = 3 SE +/- 404.73, N = 3 SE +/- 1020.34, N = 3 SE +/- 67.65, N = 3 SE +/- 548.31, N = 3 SE +/- 552.61, N = 3 SE +/- 933.85, N = 3 SE +/- 1339.85, N = 3 SE +/- 894.92, N = 3 SE +/- 2475.55, N = 3 SE +/- 2446.09, N = 3 83541.0 85985.3 88189.3 88852.0 89518.2 92446.9 96229.2 100961.0 102435.0 106140.0 123038.0 124043.0 127726.0 147770.0 150797.0 187285.0 194837.0 213852.0 218108.0 239227.0 Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7542 EPYC 7502P EPYC 7662 EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7702 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7232P EPYC 7262 EPYC 7252 40K 80K 120K 160K 200K Min: 79803.3 / Avg: 83541.04 / Max: 88828.7 Min: 84090 / Avg: 85985.27 / Max: 87861.2 Min: 87277.5 / Avg: 88189.3 / Max: 88719.3 Min: 85098.3 / Avg: 88851.98 / Max: 91485.1 Min: 89280.7 / Avg: 89518.2 / Max: 89904 Min: 91614 / Avg: 92446.87 / Max: 93111.3 Min: 95408.3 / Avg: 96229.23 / Max: 96681.1 Min: 100793 / Avg: 100960.67 / Max: 101145 Min: 101409 / Avg: 102434.67 / Max: 103068 Min: 105676 / Avg: 106140.33 / Max: 106412 Min: 122592 / Avg: 123038 / Max: 123846 Min: 122075 / Avg: 124042.67 / Max: 125495 Min: 127593 / Avg: 127725.67 / Max: 127815 Min: 147190 / Avg: 147770 / Max: 148866 Min: 150189 / Avg: 150796.67 / Max: 151900 Min: 185504 / Avg: 187284.67 / Max: 188663 Min: 192157 / Avg: 194836.67 / Max: 196187 Min: 212521 / Avg: 213852.33 / Max: 215554 Min: 215543 / Avg: 218108 / Max: 223058 Min: 235037 / Avg: 239226.67 / Max: 243509
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 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7302P EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7552 EPYC 7352 EPYC 7262 EPYC 7642 EPYC 7662 EPYC 7702 90K 180K 270K 360K 450K SE +/- 3714.55, N = 3 SE +/- 228.49, N = 3 SE +/- 1594.87, N = 3 SE +/- 894.11, N = 3 SE +/- 1062.02, N = 3 SE +/- 649.38, N = 3 SE +/- 1851.69, N = 3 SE +/- 245.66, N = 3 SE +/- 1405.58, N = 3 SE +/- 5702.08, N = 3 SE +/- 163.65, N = 3 SE +/- 866.86, N = 3 SE +/- 464.04, N = 3 SE +/- 775.34, N = 3 SE +/- 4342.59, N = 7 SE +/- 1968.81, N = 3 SE +/- 238.26, N = 3 SE +/- 624.20, N = 3 SE +/- 4239.95, N = 3 SE +/- 3410.42, N = 3 429753.65 424009.46 414532.34 412566.04 409267.14 407869.99 407511.61 406178.39 401582.89 396399.81 395467.10 392896.66 392714.19 392401.63 388353.93 388111.09 386383.91 381667.96 378118.38 375509.38 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre Result Confidence
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7302P EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7552 EPYC 7352 EPYC 7262 EPYC 7642 EPYC 7662 EPYC 7702 70K 140K 210K 280K 350K Min: 422340.89 / Avg: 429753.65 / Max: 433886.45 Min: 423604.94 / Avg: 424009.46 / Max: 424395.83 Min: 411360.53 / Avg: 414532.34 / Max: 416410.71 Min: 411317.97 / Avg: 412566.04 / Max: 414299.14 Min: 407505.43 / Avg: 409267.14 / Max: 411175.58 Min: 406670.05 / Avg: 407869.99 / Max: 408900.3 Min: 404800.22 / Avg: 407511.61 / Max: 411051.91 Min: 405819.18 / Avg: 406178.39 / Max: 406648.29 Min: 399456.17 / Avg: 401582.89 / Max: 404238.35 Min: 386344.47 / Avg: 396399.81 / Max: 406086.74 Min: 395226.4 / Avg: 395467.1 / Max: 395779.53 Min: 391575.63 / Avg: 392896.66 / Max: 394529.54 Min: 391930.7 / Avg: 392714.19 / Max: 393536.77 Min: 390868.32 / Avg: 392401.63 / Max: 393368.67 Min: 375060.11 / Avg: 388353.93 / Max: 407696.35 Min: 384323.04 / Avg: 388111.09 / Max: 390936.05 Min: 386087.82 / Avg: 386383.91 / Max: 386855.3 Min: 380946.41 / Avg: 381667.96 / Max: 382911 Min: 369640.72 / Avg: 378118.38 / Max: 382526.37 Min: 369830.03 / Avg: 375509.38 / Max: 381620.4 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.29, N = 3 SE +/- 0.56, N = 3 SE +/- 0.20, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.42, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 SE +/- 0.19, N = 3 SE +/- 0.72, N = 3 66.32 66.87 70.46 74.19 75.21 75.29 75.41 75.75 75.87 76.01 76.05 76.30 76.36 76.75 77.10 77.91 78.93 79.09 79.62 81.08 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 15 30 45 60 75 Min: 66.19 / Avg: 66.32 / Max: 66.53 Min: 66.42 / Avg: 66.87 / Max: 67.4 Min: 69.4 / Avg: 70.46 / Max: 71.3 Min: 73.93 / Avg: 74.19 / Max: 74.6 Min: 74.92 / Avg: 75.21 / Max: 75.61 Min: 75.01 / Avg: 75.29 / Max: 75.56 Min: 75.14 / Avg: 75.41 / Max: 75.56 Min: 75.53 / Avg: 75.75 / Max: 76.08 Min: 75.67 / Avg: 75.86 / Max: 76.15 Min: 75.96 / Avg: 76.01 / Max: 76.07 Min: 75.26 / Avg: 76.05 / Max: 76.72 Min: 76.13 / Avg: 76.3 / Max: 76.49 Min: 76.23 / Avg: 76.36 / Max: 76.6 Min: 76.49 / Avg: 76.75 / Max: 76.94 Min: 76.76 / Avg: 77.1 / Max: 77.4 Min: 77.55 / Avg: 77.91 / Max: 78.17 Min: 78.53 / Avg: 78.93 / Max: 79.21 Min: 78.84 / Avg: 79.09 / Max: 79.56 Min: 79.29 / Avg: 79.62 / Max: 79.94 Min: 79.79 / Avg: 81.08 / Max: 82.29 1. (CC) gcc options: -O2 -ldl -lz -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 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 +/- 0.01, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 13.16 12.83 12.64 12.59 12.45 12.08 11.98 11.50 11.25 9.62 9.24 8.34 8.19 7.70 5.79 5.30 4.63 4.38 4.34 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 13.12 / Avg: 13.16 / Max: 13.18 Min: 12.81 / Avg: 12.83 / Max: 12.86 Min: 12.59 / Avg: 12.64 / Max: 12.67 Min: 12.58 / Avg: 12.59 / Max: 12.6 Min: 12.42 / Avg: 12.45 / Max: 12.49 Min: 12.06 / Avg: 12.08 / Max: 12.1 Min: 11.94 / Avg: 11.98 / Max: 12.02 Min: 11.49 / Avg: 11.5 / Max: 11.51 Min: 11.24 / Avg: 11.25 / Max: 11.27 Min: 9.61 / Avg: 9.62 / Max: 9.63 Min: 9.22 / Avg: 9.24 / Max: 9.25 Min: 8.33 / Avg: 8.34 / Max: 8.34 Min: 8.17 / Avg: 8.19 / Max: 8.21 Min: 7.68 / Avg: 7.7 / Max: 7.72 Min: 5.79 / Avg: 5.79 / Max: 5.8 Min: 5.28 / Avg: 5.3 / Max: 5.31 Min: 4.62 / Avg: 4.63 / Max: 4.63 Min: 4.37 / Avg: 4.38 / Max: 4.38 Min: 4.33 / Avg: 4.34 / Max: 4.35 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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 9 Total Time EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30M 60M 90M 120M 150M SE +/- 1025327.97, N = 3 SE +/- 1059441.52, N = 3 SE +/- 548666.83, N = 3 SE +/- 75175.84, N = 3 SE +/- 717031.41, N = 3 SE +/- 192516.87, N = 3 SE +/- 479922.60, N = 3 SE +/- 517707.55, N = 3 SE +/- 528676.50, N = 3 SE +/- 479570.41, N = 3 SE +/- 385170.47, N = 3 SE +/- 93520.98, N = 3 SE +/- 360191.07, N = 3 SE +/- 154040.64, N = 3 SE +/- 143183.39, N = 3 SE +/- 116150.13, N = 3 SE +/- 170891.29, N = 3 SE +/- 33967.30, N = 3 SE +/- 110676.68, N = 3 SE +/- 210051.05, N = 3 124216434 120547124 102795064 102074873 80669002 76837283 75761184 73756703 70506630 65253280 60811617 54004216 46994090 41704153 39581259 30255678 23766693 21011732 20759851 20263553 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 9 Total Time EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20M 40M 60M 80M 100M Min: 123082836 / Avg: 124216434.33 / Max: 126263135 Min: 118647013 / Avg: 120547124.33 / Max: 122309234 Min: 101701713 / Avg: 102795064.33 / Max: 103422629 Min: 101934223 / Avg: 102074873.33 / Max: 102191213 Min: 79334347 / Avg: 80669001.67 / Max: 81790669 Min: 76493767 / Avg: 76837283.33 / Max: 77159659 Min: 75056297 / Avg: 75761184 / Max: 76677833 Min: 72731896 / Avg: 73756703 / Max: 74397135 Min: 69730749 / Avg: 70506629.67 / Max: 71516666 Min: 64378102 / Avg: 65253280 / Max: 66030738 Min: 60059394 / Avg: 60811616.67 / Max: 61331567 Min: 53817366 / Avg: 54004216.33 / Max: 54104972 Min: 46597321 / Avg: 46994090 / Max: 47713189 Min: 41396712 / Avg: 41704153.33 / Max: 41875062 Min: 39360150 / Avg: 39581259.33 / Max: 39849413 Min: 30066185 / Avg: 30255678 / Max: 30466794 Min: 23555785 / Avg: 23766693 / Max: 24105063 Min: 20961304 / Avg: 21011732 / Max: 21076368 Min: 20550233 / Avg: 20759851 / Max: 20926249 Min: 20000037 / Avg: 20263553 / Max: 20678655 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
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 7662 EPYC 7642 EPYC 7542 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 13.35 13.04 12.83 12.80 12.63 12.24 12.22 11.70 11.44 9.78 9.37 8.51 8.34 7.84 5.91 5.41 4.71 4.46 4.41 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 13.34 / Avg: 13.35 / Max: 13.38 Min: 13.02 / Avg: 13.04 / Max: 13.05 Min: 12.82 / Avg: 12.83 / Max: 12.84 Min: 12.76 / Avg: 12.8 / Max: 12.85 Min: 12.62 / Avg: 12.63 / Max: 12.63 Min: 12.21 / Avg: 12.24 / Max: 12.26 Min: 12.2 / Avg: 12.22 / Max: 12.24 Min: 11.68 / Avg: 11.7 / Max: 11.71 Min: 11.41 / Avg: 11.44 / Max: 11.45 Min: 9.77 / Avg: 9.78 / Max: 9.81 Min: 9.34 / Avg: 9.37 / Max: 9.4 Min: 8.5 / Avg: 8.51 / Max: 8.51 Min: 8.31 / Avg: 8.34 / Max: 8.36 Min: 7.81 / Avg: 7.84 / Max: 7.86 Min: 5.9 / Avg: 5.91 / Max: 5.91 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 4.7 / Avg: 4.71 / Max: 4.72 Min: 4.45 / Avg: 4.46 / Max: 4.47 Min: 4.41 / Avg: 4.41 / Max: 4.42 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.29, N = 9 SE +/- 0.29, N = 9 SE +/- 0.32, N = 8 SE +/- 0.34, N = 8 SE +/- 0.41, N = 6 SE +/- 0.50, N = 5 SE +/- 0.50, N = 5 SE +/- 0.44, N = 3 SE +/- 0.66, N = 3 SE +/- 0.51, N = 5 SE +/- 0.74, N = 3 SE +/- 0.61, N = 3 SE +/- 0.85, N = 3 SE +/- 0.75, N = 4 SE +/- 0.73, N = 3 SE +/- 1.26, N = 3 SE +/- 0.59, N = 3 SE +/- 0.78, N = 3 SE +/- 0.81, N = 3 SE +/- 0.82, N = 3 29.46 29.71 31.93 32.17 36.52 38.68 38.73 39.14 39.47 41.12 44.09 46.98 50.11 56.26 61.95 75.08 85.45 97.94 105.12 107.09 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 29.1 / Avg: 29.46 / Max: 31.76 Min: 29.33 / Avg: 29.71 / Max: 32.04 Min: 31.51 / Avg: 31.93 / Max: 34.2 Min: 31.54 / Avg: 32.17 / Max: 34.51 Min: 36.06 / Avg: 36.52 / Max: 38.57 Min: 38.07 / Avg: 38.68 / Max: 40.67 Min: 38.21 / Avg: 38.73 / Max: 40.75 Min: 38.68 / Avg: 39.14 / Max: 40.01 Min: 38.8 / Avg: 39.47 / Max: 40.79 Min: 40.52 / Avg: 41.12 / Max: 43.17 Min: 43.31 / Avg: 44.09 / Max: 45.57 Min: 46.33 / Avg: 46.98 / Max: 48.2 Min: 49.19 / Avg: 50.11 / Max: 51.82 Min: 55.06 / Avg: 56.26 / Max: 58.43 Min: 60.99 / Avg: 61.95 / Max: 63.38 Min: 73.79 / Avg: 75.08 / Max: 77.61 Min: 84.43 / Avg: 85.45 / Max: 86.48 Min: 96.97 / Avg: 97.94 / Max: 99.48 Min: 104.06 / Avg: 105.12 / Max: 106.71 Min: 105.98 / Avg: 107.09 / Max: 108.69
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Composite EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7252 EPYC 7502 EPYC 7402P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7532 300 600 900 1200 1500 SE +/- 2.36, N = 3 SE +/- 0.36, N = 3 SE +/- 1.94, N = 3 SE +/- 30.94, N = 12 SE +/- 0.26, N = 3 SE +/- 0.48, N = 3 SE +/- 0.30, N = 3 SE +/- 31.69, N = 12 SE +/- 2.35, N = 3 SE +/- 0.53, N = 3 SE +/- 29.19, N = 12 SE +/- 29.87, N = 12 SE +/- 2.55, N = 3 SE +/- 18.61, N = 3 SE +/- 24.59, N = 12 SE +/- 25.76, N = 12 SE +/- 19.13, N = 12 SE +/- 14.92, N = 15 SE +/- 9.53, N = 15 SE +/- 9.24, N = 3 1478.66 1406.47 1289.24 1285.35 1277.04 1271.07 1259.32 1257.83 1255.12 1253.87 1228.75 1221.20 1196.83 1146.70 1134.81 1121.56 1069.16 999.97 982.41 919.11 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Composite EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7252 EPYC 7502 EPYC 7402P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7532 300 600 900 1200 1500 Min: 1474.13 / Avg: 1478.66 / Max: 1482.06 Min: 1405.9 / Avg: 1406.47 / Max: 1407.13 Min: 1285.92 / Avg: 1289.24 / Max: 1292.64 Min: 1014.45 / Avg: 1285.35 / Max: 1450.78 Min: 1276.54 / Avg: 1277.04 / Max: 1277.4 Min: 1270.13 / Avg: 1271.07 / Max: 1271.69 Min: 1258.72 / Avg: 1259.32 / Max: 1259.65 Min: 909.58 / Avg: 1257.83 / Max: 1297.69 Min: 1252.74 / Avg: 1255.12 / Max: 1259.81 Min: 1252.91 / Avg: 1253.87 / Max: 1254.73 Min: 907.78 / Avg: 1228.75 / Max: 1260.03 Min: 895.88 / Avg: 1221.2 / Max: 1276.33 Min: 1193.47 / Avg: 1196.83 / Max: 1201.83 Min: 1112.88 / Avg: 1146.7 / Max: 1177.09 Min: 910.18 / Avg: 1134.81 / Max: 1270.44 Min: 907.36 / Avg: 1121.56 / Max: 1260.46 Min: 874.4 / Avg: 1069.16 / Max: 1158.71 Min: 948.09 / Avg: 999.97 / Max: 1184.38 Min: 939.13 / Avg: 982.41 / Max: 1071.56 Min: 901.96 / Avg: 919.11 / Max: 933.64 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7552 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.6435 1.287 1.9305 2.574 3.2175 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 6 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 1.58 1.60 1.67 1.73 1.79 1.79 1.81 1.81 1.82 1.82 1.87 1.95 2.04 2.13 2.15 2.36 2.40 2.68 2.83 2.86 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7552 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.56 / Avg: 1.58 / Max: 1.61 Min: 1.57 / Avg: 1.6 / Max: 1.62 Min: 1.65 / Avg: 1.67 / Max: 1.69 Min: 1.71 / Avg: 1.73 / Max: 1.74 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.79 / Avg: 1.81 / Max: 1.83 Min: 1.81 / Avg: 1.82 / Max: 1.84 Min: 1.78 / Avg: 1.82 / Max: 1.87 Min: 1.86 / Avg: 1.87 / Max: 1.87 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.11 / Avg: 2.13 / Max: 2.15 Min: 2.11 / Avg: 2.15 / Max: 2.19 Min: 2.33 / Avg: 2.36 / Max: 2.39 Min: 2.38 / Avg: 2.4 / Max: 2.43 Min: 2.54 / Avg: 2.68 / Max: 2.75 Min: 2.8 / Avg: 2.83 / Max: 2.85 Min: 2.81 / Avg: 2.86 / Max: 2.93
OpenVINO Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 1100 2200 3300 4400 5500 SE +/- 9.91, N = 3 SE +/- 5.88, N = 3 SE +/- 3.89, N = 3 SE +/- 23.35, N = 3 SE +/- 6.19, N = 3 SE +/- 9.01, N = 3 SE +/- 16.19, N = 3 SE +/- 1.58, N = 3 SE +/- 12.62, N = 3 SE +/- 4.72, N = 3 SE +/- 4.06, N = 3 SE +/- 1.93, N = 3 SE +/- 1.78, N = 3 SE +/- 6.59, N = 3 SE +/- 6.05, N = 3 SE +/- 1.88, N = 3 SE +/- 1.32, N = 3 SE +/- 3.15, N = 3 SE +/- 2.00, N = 3 SE +/- 11.52, N = 3 2548.47 2665.28 2973.92 3067.72 3207.58 3241.97 3258.14 3311.76 3362.88 3376.25 3451.64 3600.68 3619.06 3826.02 3939.24 4080.51 4174.72 4182.77 4779.84 5137.70 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 900 1800 2700 3600 4500 Min: 2530.59 / Avg: 2548.47 / Max: 2564.8 Min: 2657.78 / Avg: 2665.28 / Max: 2676.87 Min: 2968.79 / Avg: 2973.92 / Max: 2981.56 Min: 3031.11 / Avg: 3067.72 / Max: 3111.13 Min: 3197.37 / Avg: 3207.58 / Max: 3218.74 Min: 3224.92 / Avg: 3241.97 / Max: 3255.55 Min: 3225.88 / Avg: 3258.14 / Max: 3276.8 Min: 3308.61 / Avg: 3311.76 / Max: 3313.54 Min: 3346.38 / Avg: 3362.88 / Max: 3387.66 Min: 3371.39 / Avg: 3376.25 / Max: 3385.68 Min: 3443.53 / Avg: 3451.64 / Max: 3455.81 Min: 3597.6 / Avg: 3600.68 / Max: 3604.23 Min: 3615.77 / Avg: 3619.06 / Max: 3621.88 Min: 3813.1 / Avg: 3826.02 / Max: 3834.69 Min: 3927.14 / Avg: 3939.24 / Max: 3945.37 Min: 4077.76 / Avg: 4080.51 / Max: 4084.12 Min: 4173.31 / Avg: 4174.72 / Max: 4177.35 Min: 4177.13 / Avg: 4182.77 / Max: 4188.04 Min: 4777.11 / Avg: 4779.84 / Max: 4783.75 Min: 5119.17 / Avg: 5137.7 / Max: 5158.83 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 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 +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.56 6.10 5.64 5.61 4.75 4.38 4.35 4.12 3.95 3.89 3.48 3.01 2.97 2.43 2.28 1.76 1.56 1.30 1.24 1.22 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.53 / Avg: 6.56 / Max: 6.59 Min: 6.09 / Avg: 6.1 / Max: 6.12 Min: 5.6 / Avg: 5.64 / Max: 5.67 Min: 5.59 / Avg: 5.61 / Max: 5.66 Min: 4.74 / Avg: 4.75 / Max: 4.76 Min: 4.36 / Avg: 4.38 / Max: 4.41 Min: 4.31 / Avg: 4.35 / Max: 4.37 Min: 4.12 / Avg: 4.12 / Max: 4.13 Min: 3.92 / Avg: 3.95 / Max: 3.99 Min: 3.89 / Avg: 3.89 / Max: 3.9 Min: 3.44 / Avg: 3.48 / Max: 3.51 Min: 2.99 / Avg: 3.01 / Max: 3.02 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.23 / Avg: 1.24 / Max: 1.24 Min: 1.2 / Avg: 1.22 / Max: 1.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 1100 2200 3300 4400 5500 SE +/- 12.31, N = 3 SE +/- 8.51, N = 3 SE +/- 6.36, N = 3 SE +/- 15.09, N = 3 SE +/- 8.95, N = 3 SE +/- 4.71, N = 3 SE +/- 5.39, N = 3 SE +/- 2.06, N = 3 SE +/- 6.01, N = 3 SE +/- 6.01, N = 3 SE +/- 0.78, N = 3 SE +/- 3.84, N = 3 SE +/- 1.05, N = 3 SE +/- 2.37, N = 3 SE +/- 6.48, N = 3 SE +/- 1.42, N = 3 SE +/- 3.22, N = 3 SE +/- 9.81, N = 3 SE +/- 2.34, N = 3 SE +/- 8.48, N = 3 2554.61 2660.52 2997.78 3089.44 3205.71 3229.97 3230.48 3310.57 3352.05 3382.71 3447.77 3605.38 3617.50 3814.20 3930.30 4075.64 4162.17 4184.58 4774.55 5139.16 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 900 1800 2700 3600 4500 Min: 2530.03 / Avg: 2554.61 / Max: 2567.91 Min: 2643.9 / Avg: 2660.52 / Max: 2672 Min: 2985.12 / Avg: 2997.78 / Max: 3005.23 Min: 3059.83 / Avg: 3089.44 / Max: 3109.34 Min: 3188.67 / Avg: 3205.71 / Max: 3218.97 Min: 3222.4 / Avg: 3229.97 / Max: 3238.62 Min: 3219.85 / Avg: 3230.48 / Max: 3237.36 Min: 3306.45 / Avg: 3310.57 / Max: 3312.87 Min: 3342.94 / Avg: 3352.05 / Max: 3363.39 Min: 3374.5 / Avg: 3382.71 / Max: 3394.41 Min: 3446.6 / Avg: 3447.77 / Max: 3449.26 Min: 3600.71 / Avg: 3605.38 / Max: 3612.99 Min: 3615.55 / Avg: 3617.5 / Max: 3619.16 Min: 3809.51 / Avg: 3814.2 / Max: 3817.18 Min: 3923.6 / Avg: 3930.3 / Max: 3943.26 Min: 4073.01 / Avg: 4075.64 / Max: 4077.88 Min: 4155.89 / Avg: 4162.17 / Max: 4166.55 Min: 4164.99 / Avg: 4184.58 / Max: 4195.11 Min: 4772.16 / Avg: 4774.55 / Max: 4779.24 Min: 5124.57 / Avg: 5139.16 / Max: 5153.96 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 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 +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.58 6.11 5.63 5.58 4.73 4.35 4.30 4.12 3.94 3.88 3.49 3.02 2.98 2.44 2.30 1.77 1.55 1.29 1.24 1.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.56 / Avg: 6.58 / Max: 6.6 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 5.61 / Avg: 5.63 / Max: 5.65 Min: 5.53 / Avg: 5.58 / Max: 5.63 Min: 4.72 / Avg: 4.73 / Max: 4.75 Min: 4.33 / Avg: 4.35 / Max: 4.38 Min: 4.26 / Avg: 4.3 / Max: 4.33 Min: 4.11 / Avg: 4.12 / Max: 4.13 Min: 3.92 / Avg: 3.94 / Max: 3.98 Min: 3.86 / Avg: 3.88 / Max: 3.9 Min: 3.47 / Avg: 3.49 / Max: 3.51 Min: 3 / Avg: 3.02 / Max: 3.03 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 2.43 / Avg: 2.44 / Max: 2.46 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.53 / Avg: 1.55 / Max: 1.58 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.23 / Avg: 1.24 / Max: 1.25 Min: 1.22 / Avg: 1.23 / Max: 1.24 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 800 1600 2400 3200 4000 SE +/- 4.52, N = 3 SE +/- 7.58, N = 3 SE +/- 2.69, N = 3 SE +/- 2.33, N = 3 SE +/- 3.30, N = 3 SE +/- 13.27, N = 3 SE +/- 6.54, N = 3 SE +/- 4.74, N = 3 SE +/- 2.01, N = 3 SE +/- 3.22, N = 3 SE +/- 4.62, N = 3 SE +/- 1.51, N = 3 SE +/- 1.08, N = 3 SE +/- 2.71, N = 3 SE +/- 4.14, N = 3 SE +/- 1.26, N = 3 SE +/- 0.89, N = 3 SE +/- 1.56, N = 3 SE +/- 4.17, N = 3 SE +/- 14.96, N = 3 1998.07 2056.94 2275.81 2436.75 2586.14 2597.69 2600.15 2600.47 2604.68 2614.51 2677.81 2792.73 2805.48 2896.79 2991.16 3070.66 3092.81 3248.81 3508.02 3839.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 700 1400 2100 2800 3500 Min: 1992.29 / Avg: 1998.07 / Max: 2006.99 Min: 2043.82 / Avg: 2056.94 / Max: 2070.07 Min: 2271.29 / Avg: 2275.81 / Max: 2280.6 Min: 2432.1 / Avg: 2436.75 / Max: 2439.19 Min: 2580.39 / Avg: 2586.14 / Max: 2591.83 Min: 2571.87 / Avg: 2597.69 / Max: 2615.92 Min: 2587.1 / Avg: 2600.15 / Max: 2607.47 Min: 2594.08 / Avg: 2600.47 / Max: 2609.73 Min: 2600.93 / Avg: 2604.68 / Max: 2607.81 Min: 2608.68 / Avg: 2614.51 / Max: 2619.8 Min: 2668.76 / Avg: 2677.81 / Max: 2683.98 Min: 2790.22 / Avg: 2792.73 / Max: 2795.45 Min: 2804.09 / Avg: 2805.48 / Max: 2807.61 Min: 2893.86 / Avg: 2896.79 / Max: 2902.21 Min: 2982.89 / Avg: 2991.16 / Max: 2995.63 Min: 3069.11 / Avg: 3070.66 / Max: 3073.15 Min: 3091.18 / Avg: 3092.81 / Max: 3094.24 Min: 3246.75 / Avg: 3248.81 / Max: 3251.86 Min: 3499.99 / Avg: 3508.02 / Max: 3514.01 Min: 3819.73 / Avg: 3839.87 / Max: 3869.1 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, 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 +/- 0.00, N = 3 9.08 8.24 7.67 7.36 6.09 5.70 5.68 5.50 5.25 5.20 4.57 3.99 3.88 3.06 2.98 2.31 2.01 1.64 1.54 1.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 9.05 / Avg: 9.08 / Max: 9.1 Min: 8.21 / Avg: 8.24 / Max: 8.26 Min: 7.61 / Avg: 7.67 / Max: 7.7 Min: 7.35 / Avg: 7.36 / Max: 7.36 Min: 6 / Avg: 6.09 / Max: 6.14 Min: 5.67 / Avg: 5.7 / Max: 5.72 Min: 5.66 / Avg: 5.68 / Max: 5.69 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 5.23 / Avg: 5.25 / Max: 5.27 Min: 5.2 / Avg: 5.2 / Max: 5.21 Min: 4.56 / Avg: 4.57 / Max: 4.58 Min: 3.98 / Avg: 3.99 / Max: 4.01 Min: 3.85 / Avg: 3.88 / Max: 3.91 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 2.97 / Avg: 2.98 / Max: 2.98 Min: 2.3 / Avg: 2.31 / Max: 2.31 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 1.52 / Avg: 1.54 / Max: 1.55 Min: 1.53 / Avg: 1.53 / Max: 1.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7302P EPYC 7F32 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 1300 2600 3900 5200 6500 SE +/- 12.21, N = 3 SE +/- 117.70, N = 3 SE +/- 5.26, N = 3 SE +/- 31.25, N = 3 SE +/- 7.17, N = 3 SE +/- 22.10, N = 3 SE +/- 2.32, N = 3 SE +/- 13.87, N = 3 SE +/- 2.65, N = 3 SE +/- 2.64, N = 3 SE +/- 6.91, N = 3 SE +/- 7.19, N = 3 SE +/- 142.43, N = 4 SE +/- 166.01, N = 3 SE +/- 30.75, N = 3 SE +/- 15.72, N = 3 SE +/- 70.26, N = 3 SE +/- 147.42, N = 3 SE +/- 3.23, N = 3 SE +/- 76.22, N = 3 5876.05 5859.29 5793.43 5739.99 5616.08 5610.49 5445.37 5113.55 5055.50 5052.50 5047.53 5045.53 4910.75 4506.35 2868.76 2830.80 2754.89 2630.66 2442.73 2412.70 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7302P EPYC 7F32 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 1000 2000 3000 4000 5000 Min: 5862.52 / Avg: 5876.05 / Max: 5900.41 Min: 5623.89 / Avg: 5859.29 / Max: 5979.08 Min: 5788.17 / Avg: 5793.43 / Max: 5803.95 Min: 5685.18 / Avg: 5739.99 / Max: 5793.42 Min: 5602.93 / Avg: 5616.08 / Max: 5627.6 Min: 5566.93 / Avg: 5610.49 / Max: 5638.78 Min: 5440.74 / Avg: 5445.37 / Max: 5447.69 Min: 5095.81 / Avg: 5113.55 / Max: 5140.9 Min: 5050.5 / Avg: 5055.5 / Max: 5059.5 Min: 5047.51 / Avg: 5052.5 / Max: 5056.49 Min: 5035.57 / Avg: 5047.53 / Max: 5059.5 Min: 5035.57 / Avg: 5045.53 / Max: 5059.5 Min: 4484.31 / Avg: 4910.75 / Max: 5067.52 Min: 4184.77 / Avg: 4506.35 / Max: 4738.71 Min: 2832.51 / Avg: 2868.76 / Max: 2929.91 Min: 2808.24 / Avg: 2830.8 / Max: 2861.04 Min: 2614.63 / Avg: 2754.89 / Max: 2832.51 Min: 2351.05 / Avg: 2630.66 / Max: 2851.47 Min: 2437.13 / Avg: 2442.73 / Max: 2448.33 Min: 2261.2 / Avg: 2412.7 / Max: 2502.99 1. (CXX) g++ options: -lpthread
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Gridding EPYC 7F52 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7F72 EPYC 7302P EPYC 7402P EPYC 7352 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 1000 2000 3000 4000 5000 SE +/- 1.58, N = 3 SE +/- 5.69, N = 3 SE +/- 12.60, N = 3 SE +/- 19.98, N = 3 SE +/- 5.39, N = 3 SE +/- 33.00, N = 3 SE +/- 6.12, N = 3 SE +/- 13.48, N = 3 SE +/- 12.02, N = 3 SE +/- 49.86, N = 4 SE +/- 1.04, N = 3 SE +/- 4.44, N = 3 SE +/- 9.20, N = 3 SE +/- 7.26, N = 3 SE +/- 50.65, N = 3 SE +/- 25.69, N = 3 SE +/- 36.62, N = 3 SE +/- 22.86, N = 3 SE +/- 6.48, N = 3 SE +/- 10.08, N = 3 4501.69 4445.33 4389.41 4352.03 4265.80 4254.94 4225.37 3861.21 3718.88 3651.00 3650.99 3646.83 3634.42 3622.05 3088.71 3072.62 2390.87 2368.92 2345.90 2334.81 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Gridding EPYC 7F52 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7F72 EPYC 7302P EPYC 7402P EPYC 7352 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 800 1600 2400 3200 4000 Min: 4498.52 / Avg: 4501.69 / Max: 4503.27 Min: 4434.14 / Avg: 4445.33 / Max: 4452.67 Min: 4376.81 / Avg: 4389.41 / Max: 4414.61 Min: 4314.02 / Avg: 4352.03 / Max: 4381.69 Min: 4255.84 / Avg: 4265.8 / Max: 4274.34 Min: 4190.95 / Avg: 4254.94 / Max: 4300.96 Min: 4217.92 / Avg: 4225.37 / Max: 4237.5 Min: 3841.39 / Avg: 3861.21 / Max: 3886.95 Min: 3700.14 / Avg: 3718.88 / Max: 3741.3 Min: 3503.37 / Avg: 3651 / Max: 3717.36 Min: 3648.9 / Avg: 3650.99 / Max: 3652.03 Min: 3638 / Avg: 3646.83 / Max: 3652.03 Min: 3620.99 / Avg: 3634.42 / Max: 3652.03 Min: 3613.31 / Avg: 3622.05 / Max: 3636.45 Min: 2987.44 / Avg: 3088.71 / Max: 3141.66 Min: 3025.64 / Avg: 3072.62 / Max: 3114.11 Min: 2317.79 / Avg: 2390.87 / Max: 2431.56 Min: 2330.47 / Avg: 2368.92 / Max: 2409.56 Min: 2333.02 / Avg: 2345.9 / Max: 2353.64 Min: 2324.11 / Avg: 2334.81 / Max: 2354.95 1. (CXX) g++ options: -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7252 EPYC 7232P EPYC 7642 EPYC 7282 EPYC 7532 EPYC 7272 EPYC 7352 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 59.91 60.83 64.06 68.38 69.10 69.97 70.14 70.40 70.43 70.56 70.56 71.37 71.43 71.91 72.00 72.04 72.09 72.29 72.33 74.53 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7252 EPYC 7232P EPYC 7642 EPYC 7282 EPYC 7532 EPYC 7272 EPYC 7352 14 28 42 56 70 Min: 59.85 / Avg: 59.91 / Max: 59.97 Min: 60.48 / Avg: 60.83 / Max: 61.01 Min: 63.9 / Avg: 64.06 / Max: 64.16 Min: 68.36 / Avg: 68.38 / Max: 68.4 Min: 68.96 / Avg: 69.1 / Max: 69.25 Min: 69.89 / Avg: 69.97 / Max: 70.06 Min: 69.89 / Avg: 70.14 / Max: 70.38 Min: 70.36 / Avg: 70.4 / Max: 70.47 Min: 70.28 / Avg: 70.43 / Max: 70.62 Min: 70.47 / Avg: 70.56 / Max: 70.62 Min: 70.31 / Avg: 70.56 / Max: 70.8 Min: 71.2 / Avg: 71.37 / Max: 71.46 Min: 71.31 / Avg: 71.43 / Max: 71.67 Min: 71.85 / Avg: 71.91 / Max: 72.03 Min: 71.94 / Avg: 72 / Max: 72.06 Min: 71.98 / Avg: 72.04 / Max: 72.07 Min: 72.06 / Avg: 72.09 / Max: 72.16 Min: 72.21 / Avg: 72.29 / Max: 72.38 Min: 72.24 / Avg: 72.33 / Max: 72.4 Min: 74.42 / Avg: 74.53 / Max: 74.6
OpenVINO Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7542 EPYC 7232P EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 800 1600 2400 3200 4000 SE +/- 2.63, N = 3 SE +/- 0.56, N = 3 SE +/- 2.68, N = 3 SE +/- 8.09, N = 3 SE +/- 6.48, N = 3 SE +/- 3.76, N = 3 SE +/- 0.94, N = 3 SE +/- 1.22, N = 3 SE +/- 5.91, N = 3 SE +/- 5.29, N = 3 SE +/- 1.27, N = 3 SE +/- 2.16, N = 3 SE +/- 1.31, N = 3 SE +/- 3.65, N = 3 SE +/- 2.65, N = 3 SE +/- 2.41, N = 3 SE +/- 2.14, N = 3 SE +/- 1.11, N = 3 SE +/- 5.97, N = 3 SE +/- 13.85, N = 3 2005.91 2064.65 2280.09 2432.00 2588.02 2589.48 2598.28 2600.40 2605.05 2619.80 2673.76 2794.68 2802.25 2894.52 2990.38 3065.49 3093.73 3239.74 3505.17 3802.58 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7542 EPYC 7232P EPYC 7402P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 700 1400 2100 2800 3500 Min: 2000.66 / Avg: 2005.91 / Max: 2008.73 Min: 2063.74 / Avg: 2064.65 / Max: 2065.66 Min: 2276.36 / Avg: 2280.09 / Max: 2285.29 Min: 2417.5 / Avg: 2432 / Max: 2445.45 Min: 2576.99 / Avg: 2588.02 / Max: 2599.43 Min: 2583.64 / Avg: 2589.48 / Max: 2596.51 Min: 2596.72 / Avg: 2598.28 / Max: 2599.98 Min: 2598.01 / Avg: 2600.4 / Max: 2602.05 Min: 2594.21 / Avg: 2605.05 / Max: 2614.56 Min: 2609.52 / Avg: 2619.8 / Max: 2627.12 Min: 2671.86 / Avg: 2673.76 / Max: 2676.17 Min: 2790.38 / Avg: 2794.68 / Max: 2797.22 Min: 2800.17 / Avg: 2802.25 / Max: 2804.68 Min: 2890.55 / Avg: 2894.52 / Max: 2901.82 Min: 2985.22 / Avg: 2990.38 / Max: 2994.01 Min: 3062.31 / Avg: 3065.49 / Max: 3070.23 Min: 3090.11 / Avg: 3093.73 / Max: 3097.51 Min: 3237.91 / Avg: 3239.74 / Max: 3241.74 Min: 3494.9 / Avg: 3505.17 / Max: 3515.57 Min: 3782.5 / Avg: 3802.58 / Max: 3829.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 9.06 8.27 7.68 7.37 6.07 5.69 5.68 5.50 5.26 5.21 4.57 3.98 3.88 3.06 2.99 2.31 1.99 1.64 1.55 1.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 9.02 / Avg: 9.06 / Max: 9.09 Min: 8.26 / Avg: 8.27 / Max: 8.28 Min: 7.65 / Avg: 7.68 / Max: 7.73 Min: 7.35 / Avg: 7.37 / Max: 7.39 Min: 5.97 / Avg: 6.07 / Max: 6.14 Min: 5.68 / Avg: 5.69 / Max: 5.7 Min: 5.67 / Avg: 5.68 / Max: 5.69 Min: 5.49 / Avg: 5.5 / Max: 5.51 Min: 5.25 / Avg: 5.26 / Max: 5.26 Min: 5.2 / Avg: 5.21 / Max: 5.22 Min: 4.55 / Avg: 4.57 / Max: 4.58 Min: 3.97 / Avg: 3.98 / Max: 3.99 Min: 3.87 / Avg: 3.88 / Max: 3.88 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 2.3 / Avg: 2.31 / Max: 2.32 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.54 / Avg: 1.55 / Max: 1.56 Min: 1.53 / Avg: 1.53 / Max: 1.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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: Interpreter EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7282 EPYC 7502 EPYC 7232P EPYC 7532 EPYC 7702 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7252 0.0003 0.0006 0.0009 0.0012 0.0015 SE +/- 0.00000247, N = 3 SE +/- 0.00001130, N = 3 SE +/- 0.00000094, N = 3 SE +/- 0.00000997, N = 3 SE +/- 0.00000929, N = 3 SE +/- 0.00000843, N = 3 SE +/- 0.00001457, N = 4 SE +/- 0.00000590, N = 3 SE +/- 0.00000873, N = 3 SE +/- 0.00000704, N = 3 SE +/- 0.00000492, N = 3 SE +/- 0.00001218, N = 3 SE +/- 0.00001145, N = 3 SE +/- 0.00000638, N = 3 SE +/- 0.00001716, N = 3 SE +/- 0.00001189, N = 15 SE +/- 0.00001635, N = 3 SE +/- 0.00001515, N = 4 SE +/- 0.00002074, N = 15 SE +/- 0.00000634, N = 3 0.00083164 0.00088316 0.00089156 0.00099397 0.00099951 0.00100578 0.00100704 0.00100912 0.00101088 0.00101967 0.00102449 0.00102628 0.00102829 0.00103515 0.00105341 0.00106825 0.00112597 0.00114026 0.00124568 0.00131517 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7282 EPYC 7502 EPYC 7232P EPYC 7532 EPYC 7702 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7252 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 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
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 13K 26K 39K 52K 65K SE +/- 185.27, N = 3 SE +/- 257.77, N = 3 SE +/- 163.42, N = 3 SE +/- 184.21, N = 3 SE +/- 463.85, N = 3 SE +/- 400.69, N = 3 SE +/- 449.08, N = 3 SE +/- 598.50, N = 3 SE +/- 115.54, N = 3 SE +/- 300.18, N = 3 SE +/- 327.00, N = 3 SE +/- 246.39, N = 3 SE +/- 51.15, N = 3 SE +/- 78.28, N = 3 SE +/- 45.83, N = 3 SE +/- 71.70, N = 3 SE +/- 80.57, N = 3 SE +/- 70.89, N = 3 SE +/- 33.32, N = 3 SE +/- 33.59, N = 3 59016 57889 51417 50184 38642 36297 35209 34775 34247 33553 32046 27814 25542 21913 20890 15990 13123 11724 11114 10313 Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10K 20K 30K 40K 50K Min: 58749 / Avg: 59016 / Max: 59372 Min: 57376 / Avg: 57888.67 / Max: 58192 Min: 51109 / Avg: 51416.67 / Max: 51666 Min: 49929 / Avg: 50184.33 / Max: 50542 Min: 37769 / Avg: 38642.33 / Max: 39350 Min: 35508 / Avg: 36297 / Max: 36813 Min: 34745 / Avg: 35209 / Max: 36107 Min: 33578 / Avg: 34775 / Max: 35376 Min: 34016 / Avg: 34246.67 / Max: 34374 Min: 32978 / Avg: 33553 / Max: 33990 Min: 31560 / Avg: 32046 / Max: 32668 Min: 27433 / Avg: 27813.67 / Max: 28275 Min: 25445 / Avg: 25541.67 / Max: 25619 Min: 21758 / Avg: 21913.33 / Max: 22008 Min: 20818 / Avg: 20889.67 / Max: 20975 Min: 15849 / Avg: 15990.33 / Max: 16082 Min: 12994 / Avg: 13122.67 / Max: 13271 Min: 11589 / Avg: 11724 / Max: 11829 Min: 11048 / Avg: 11114 / Max: 11155 Min: 10258 / Avg: 10313.33 / Max: 10374
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 16 32 48 64 80 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 56.33 56.46 59.77 64.48 64.87 65.33 65.48 65.51 65.78 65.80 66.30 66.49 66.71 67.09 67.11 68.20 68.52 68.80 68.88 69.79 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 14 28 42 56 70 Min: 56.32 / Avg: 56.33 / Max: 56.35 Min: 56.43 / Avg: 56.46 / Max: 56.49 Min: 59.7 / Avg: 59.77 / Max: 59.84 Min: 64.41 / Avg: 64.48 / Max: 64.54 Min: 64.76 / Avg: 64.87 / Max: 64.93 Min: 65.24 / Avg: 65.33 / Max: 65.41 Min: 65.43 / Avg: 65.48 / Max: 65.55 Min: 65.45 / Avg: 65.51 / Max: 65.56 Min: 65.72 / Avg: 65.78 / Max: 65.82 Min: 65.66 / Avg: 65.8 / Max: 65.9 Min: 66.23 / Avg: 66.29 / Max: 66.39 Min: 66.43 / Avg: 66.49 / Max: 66.53 Min: 66.65 / Avg: 66.71 / Max: 66.78 Min: 66.86 / Avg: 67.09 / Max: 67.47 Min: 67.01 / Avg: 67.11 / Max: 67.19 Min: 68.15 / Avg: 68.2 / Max: 68.25 Min: 68.35 / Avg: 68.52 / Max: 68.69 Min: 68.7 / Avg: 68.8 / Max: 68.93 Min: 68.76 / Avg: 68.88 / Max: 68.99 Min: 69.68 / Avg: 69.79 / Max: 69.87
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: rnflow EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 5 10 15 20 25 16.53 16.58 17.48 18.95 19.00 19.26 19.27 19.28 19.28 19.34 19.52 19.53 19.55 19.57 19.62 20.15 20.20 20.21 20.25 20.50
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7F72 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 10 20 30 40 50 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 9 SE +/- 0.18, N = 3 SE +/- 0.18, N = 3 SE +/- 0.53, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 10.49 11.27 11.68 12.20 13.00 13.27 13.30 13.44 13.63 15.53 16.39 18.38 19.10 21.73 24.06 31.18 37.26 40.63 44.18 44.90 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7F72 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 9 18 27 36 45 Min: 10.41 / Avg: 10.49 / Max: 10.54 Min: 11.23 / Avg: 11.27 / Max: 11.32 Min: 11.37 / Avg: 11.68 / Max: 11.86 Min: 12.02 / Avg: 12.2 / Max: 12.33 Min: 12.92 / Avg: 13 / Max: 13.06 Min: 13.22 / Avg: 13.27 / Max: 13.33 Min: 13.11 / Avg: 13.3 / Max: 13.55 Min: 13.3 / Avg: 13.44 / Max: 13.57 Min: 13.55 / Avg: 13.63 / Max: 13.74 Min: 15.06 / Avg: 15.53 / Max: 15.94 Min: 16.18 / Avg: 16.39 / Max: 16.58 Min: 18.37 / Avg: 18.38 / Max: 18.39 Min: 19.01 / Avg: 19.1 / Max: 19.25 Min: 21.66 / Avg: 21.73 / Max: 21.78 Min: 23.34 / Avg: 24.06 / Max: 25.71 Min: 30.87 / Avg: 31.18 / Max: 31.49 Min: 37.07 / Avg: 37.26 / Max: 37.62 Min: 39.58 / Avg: 40.63 / Max: 41.24 Min: 44.03 / Avg: 44.18 / Max: 44.44 Min: 44.78 / Avg: 44.9 / Max: 45.05 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 4M 8M 12M 16M 20M SE +/- 205768.32, N = 15 SE +/- 107878.70, N = 3 SE +/- 94951.48, N = 3 SE +/- 155445.81, N = 15 SE +/- 120996.14, N = 9 SE +/- 102325.96, N = 15 SE +/- 98762.81, N = 15 SE +/- 138168.08, N = 3 SE +/- 81230.48, N = 15 SE +/- 94521.27, N = 3 SE +/- 50217.68, N = 3 SE +/- 52003.80, N = 3 SE +/- 29716.88, N = 3 SE +/- 9769.89, N = 3 SE +/- 50833.87, N = 3 SE +/- 38644.74, N = 3 SE +/- 28186.41, N = 3 SE +/- 23350.93, N = 3 SE +/- 24650.01, N = 3 SE +/- 22526.16, N = 3 18566893.62 18405418.22 15626973.32 15435223.91 12327310.61 11355107.69 11286825.41 11066825.63 10457029.31 10203563.10 9536005.30 7892972.46 7756545.05 6603833.68 6096293.69 4389316.13 3819891.88 3316915.90 3005936.07 2970114.52 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3M 6M 9M 12M 15M Min: 17260837.8 / Avg: 18566893.62 / Max: 19589156.55 Min: 18267832.08 / Avg: 18405418.22 / Max: 18618141.77 Min: 15485009.26 / Avg: 15626973.32 / Max: 15807189.08 Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87 Min: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45 Min: 10680260.72 / Avg: 11355107.69 / Max: 11922794.08 Min: 10644170.18 / Avg: 11286825.41 / Max: 11817686.65 Min: 10790876.02 / Avg: 11066825.63 / Max: 11217454.01 Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2 Min: 10029895.8 / Avg: 10203563.1 / Max: 10355069.48 Min: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81 Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81 Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19 Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6 Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41 Min: 4331161.98 / Avg: 4389316.13 / Max: 4462481.97 Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94 Min: 3279882.3 / Avg: 3316915.9 / Max: 3360073.76 Min: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69 Min: 2928072.83 / Avg: 2970114.52 / Max: 3005158.75 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 0.6477 1.2954 1.9431 2.5908 3.2385 SE +/- 0.00064, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.00057, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00056, N = 3 SE +/- 0.00107, N = 3 SE +/- 0.00083, N = 3 SE +/- 0.00089, N = 3 SE +/- 0.00081, N = 3 SE +/- 0.00035, N = 3 SE +/- 0.00570, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.00046, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.00737, N = 3 SE +/- 0.01056, N = 3 SE +/- 0.00138, N = 3 SE +/- 0.00153, N = 3 SE +/- 0.01336, N = 3 0.49044 0.51892 0.57168 0.57645 0.71677 0.77595 0.77627 0.79052 0.85255 0.85771 0.93786 1.15092 1.15425 1.34992 1.47205 1.94316 2.30072 2.54937 2.73186 2.87872 Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.51 / Avg: 0.52 / Max: 0.53 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 1.47 / Avg: 1.47 / Max: 1.47 Min: 1.94 / Avg: 1.94 / Max: 1.96 Min: 2.28 / Avg: 2.3 / Max: 2.32 Min: 2.55 / Avg: 2.55 / Max: 2.55 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.85 / Avg: 2.88 / Max: 2.89
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 4.0.64 Scene: Bedroom EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 1.2422 2.4844 3.7266 4.9688 6.211 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, 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 +/- 0.002, N = 3 5.521 5.418 5.293 5.159 4.251 3.965 3.937 3.771 3.688 3.398 3.224 2.833 2.419 2.176 2.103 1.611 1.220 1.097 1.057 1.014 Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 5.51 / Avg: 5.52 / Max: 5.53 Min: 5.42 / Avg: 5.42 / Max: 5.42 Min: 5.29 / Avg: 5.29 / Max: 5.31 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 3.96 / Avg: 3.97 / Max: 3.97 Min: 3.93 / Avg: 3.94 / Max: 3.95 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.4 / Avg: 3.4 / Max: 3.4 Min: 3.22 / Avg: 3.22 / Max: 3.23 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.41 / Avg: 2.42 / Max: 2.43 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 2.1 / Avg: 2.1 / Max: 2.11 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.01 / Avg: 1.01 / Max: 1.02
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 7F72 EPYC 7F52 EPYC 7F32 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7452 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7282 EPYC 7252 EPYC 7262 20 40 60 80 100 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 SE +/- 0.73, N = 3 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 72.53 73.89 74.97 79.51 79.63 80.03 80.39 80.78 81.26 81.52 81.57 81.75 81.86 81.98 81.99 82.18 82.28 83.08 83.99 84.60 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7452 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7282 EPYC 7252 EPYC 7262 16 32 48 64 80 Min: 72.07 / Avg: 72.53 / Max: 72.82 Min: 73.69 / Avg: 73.89 / Max: 74.1 Min: 74.89 / Avg: 74.97 / Max: 75.09 Min: 79.03 / Avg: 79.51 / Max: 79.93 Min: 79.24 / Avg: 79.63 / Max: 80.11 Min: 79.72 / Avg: 80.03 / Max: 80.26 Min: 80.14 / Avg: 80.39 / Max: 80.74 Min: 80.56 / Avg: 80.78 / Max: 80.91 Min: 81.19 / Avg: 81.26 / Max: 81.33 Min: 81.31 / Avg: 81.52 / Max: 81.94 Min: 81.27 / Avg: 81.57 / Max: 81.78 Min: 81.37 / Avg: 81.75 / Max: 82.23 Min: 81.69 / Avg: 81.86 / Max: 82.1 Min: 81.13 / Avg: 81.98 / Max: 83.42 Min: 81.63 / Avg: 81.99 / Max: 82.45 Min: 81.89 / Avg: 82.18 / Max: 82.56 Min: 81.65 / Avg: 82.28 / Max: 82.63 Min: 82.9 / Avg: 83.08 / Max: 83.37 Min: 83.55 / Avg: 83.99 / Max: 84.36 Min: 84.25 / Avg: 84.6 / Max: 85.12
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 4.0.64 Scene: Supercar EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.027, N = 3 SE +/- 0.032, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.036, N = 3 SE +/- 0.013, N = 3 SE +/- 0.019, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 9.418 9.237 8.884 8.690 8.374 8.031 7.828 7.641 7.549 7.099 6.826 5.991 5.089 4.589 4.482 3.422 2.578 2.343 2.256 2.124 Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 9.38 / Avg: 9.42 / Max: 9.47 Min: 9.18 / Avg: 9.24 / Max: 9.28 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 8.67 / Avg: 8.69 / Max: 8.71 Min: 8.35 / Avg: 8.37 / Max: 8.39 Min: 8.02 / Avg: 8.03 / Max: 8.04 Min: 7.81 / Avg: 7.83 / Max: 7.85 Min: 7.59 / Avg: 7.64 / Max: 7.71 Min: 7.53 / Avg: 7.55 / Max: 7.57 Min: 7.08 / Avg: 7.1 / Max: 7.14 Min: 6.82 / Avg: 6.83 / Max: 6.84 Min: 5.98 / Avg: 5.99 / Max: 6.01 Min: 5.07 / Avg: 5.09 / Max: 5.11 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 2.57 / Avg: 2.58 / Max: 2.59 Min: 2.33 / Avg: 2.34 / Max: 2.36 Min: 2.25 / Avg: 2.26 / Max: 2.26 Min: 2.12 / Avg: 2.12 / Max: 2.13
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: protein EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7302P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 4 8 12 16 20 13.66 13.78 14.41 15.67 15.67 15.88 15.89 15.89 15.90 15.97 16.13 16.15 16.15 16.15 16.15 16.63 16.66 16.76 16.83 16.94
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 2M 4M 6M 8M 10M SE +/- 22170.26, N = 3 SE +/- 35636.88, N = 3 SE +/- 60894.61, N = 3 SE +/- 29508.17, N = 3 SE +/- 29761.67, N = 3 SE +/- 5897.86, N = 3 SE +/- 31783.53, N = 3 SE +/- 26369.03, N = 3 SE +/- 54967.27, N = 3 SE +/- 11731.10, N = 3 SE +/- 16048.71, N = 3 SE +/- 24151.11, N = 3 SE +/- 16794.20, N = 3 SE +/- 45029.31, N = 3 SE +/- 10558.02, N = 3 SE +/- 28091.78, N = 4 SE +/- 18877.88, N = 3 SE +/- 1671.95, N = 3 SE +/- 5354.73, N = 3 SE +/- 9486.66, N = 3 7904493 7860385 6949809 6670700 5472534 5195469 5183448 5078250 4999806 4270655 4269210 3871501 2919905 2878890 2856386 2181413 1518866 1423609 1416897 1349492 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 1.4M 2.8M 4.2M 5.6M 7M Min: 7865169 / Avg: 7904493 / Max: 7941897 Min: 7823749 / Avg: 7860384.67 / Max: 7931649 Min: 6888150 / Avg: 6949809 / Max: 7071595 Min: 6631953 / Avg: 6670700.33 / Max: 6728625 Min: 5416475 / Avg: 5472534 / Max: 5517893 Min: 5184385 / Avg: 5195468.67 / Max: 5204506 Min: 5129861 / Avg: 5183447.67 / Max: 5239854 Min: 5049962 / Avg: 5078249.67 / Max: 5130940 Min: 4910935 / Avg: 4999805.67 / Max: 5100283 Min: 4247235 / Avg: 4270655 / Max: 4283583 Min: 4237623 / Avg: 4269210 / Max: 4289941 Min: 3834057 / Avg: 3871500.67 / Max: 3916648 Min: 2901038 / Avg: 2919904.67 / Max: 2953404 Min: 2816724 / Avg: 2878890 / Max: 2966404 Min: 2838430 / Avg: 2856386 / Max: 2874987 Min: 2146570 / Avg: 2181413 / Max: 2264616 Min: 1490063 / Avg: 1518866.33 / Max: 1554408 Min: 1420426 / Avg: 1423609 / Max: 1426088 Min: 1406942 / Avg: 1416897 / Max: 1425294 Min: 1336295 / Avg: 1349492 / Max: 1367896 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 50K 100K 150K 200K 250K SE +/- 79.43, N = 3 SE +/- 79.18, N = 3 SE +/- 80.59, N = 3 SE +/- 47.46, N = 3 SE +/- 209.40, N = 3 SE +/- 101.90, N = 3 SE +/- 51.28, N = 3 SE +/- 113.63, N = 3 SE +/- 39.76, N = 3 SE +/- 199.04, N = 3 SE +/- 115.19, N = 3 SE +/- 152.59, N = 3 SE +/- 143.58, N = 3 SE +/- 29.76, N = 3 SE +/- 53.20, N = 3 SE +/- 38.16, N = 3 SE +/- 69.41, N = 3 SE +/- 235.23, N = 3 SE +/- 85.27, N = 3 SE +/- 136.62, N = 3 57128.8 66999.3 70232.8 71361.3 75223.6 75772.2 75779.3 81778.7 82550.0 89145.6 93759.8 106967.0 109217.0 124126.0 128772.0 177799.0 207979.0 239371.0 243111.0 253065.0 Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40K 80K 120K 160K 200K Min: 56971.7 / Avg: 57128.77 / Max: 57227.9 Min: 66887.1 / Avg: 66999.33 / Max: 67152.2 Min: 70145.6 / Avg: 70232.8 / Max: 70393.8 Min: 71268.1 / Avg: 71361.3 / Max: 71423.5 Min: 74900.1 / Avg: 75223.6 / Max: 75615.7 Min: 75583.9 / Avg: 75772.17 / Max: 75933.9 Min: 75682.8 / Avg: 75779.33 / Max: 75857.6 Min: 81590.6 / Avg: 81778.7 / Max: 81983.2 Min: 82487 / Avg: 82549.97 / Max: 82623.5 Min: 88842 / Avg: 89145.63 / Max: 89520.4 Min: 93529.5 / Avg: 93759.83 / Max: 93879.1 Min: 106761 / Avg: 106967 / Max: 107265 Min: 108943 / Avg: 109217.33 / Max: 109428 Min: 124076 / Avg: 124126.33 / Max: 124179 Min: 128683 / Avg: 128772 / Max: 128867 Min: 177735 / Avg: 177799 / Max: 177867 Min: 207886 / Avg: 207979.33 / Max: 208115 Min: 239073 / Avg: 239370.67 / Max: 239835 Min: 242947 / Avg: 243110.67 / Max: 243234 Min: 252796 / Avg: 253065 / Max: 253241
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7662 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40K 80K 120K 160K 200K SE +/- 56.13, N = 3 SE +/- 125.75, N = 3 SE +/- 40.64, N = 3 SE +/- 5.65, N = 3 SE +/- 139.32, N = 3 SE +/- 76.67, N = 3 SE +/- 121.23, N = 3 SE +/- 134.69, N = 3 SE +/- 55.04, N = 3 SE +/- 124.60, N = 3 SE +/- 246.17, N = 3 SE +/- 125.94, N = 3 SE +/- 93.48, N = 3 SE +/- 98.40, N = 3 SE +/- 105.24, N = 3 SE +/- 51.29, N = 3 SE +/- 82.35, N = 3 SE +/- 331.41, N = 3 SE +/- 28.35, N = 3 SE +/- 126.18, N = 3 38559.7 44940.0 47938.6 47944.5 48294.1 48548.3 51690.4 51794.5 51905.1 60900.5 63770.3 69915.6 76578.7 82153.3 85334.2 122845.0 141836.0 163904.0 164541.0 174503.0 Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7662 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K Min: 38450.4 / Avg: 38559.7 / Max: 38636.5 Min: 44691.4 / Avg: 44939.97 / Max: 45097.4 Min: 47857.4 / Avg: 47938.63 / Max: 47981.5 Min: 47933.7 / Avg: 47944.47 / Max: 47952.8 Min: 48081.2 / Avg: 48294.07 / Max: 48556.2 Min: 48399.1 / Avg: 48548.33 / Max: 48653.5 Min: 51472.8 / Avg: 51690.43 / Max: 51891.8 Min: 51558.9 / Avg: 51794.53 / Max: 52025.4 Min: 51828.7 / Avg: 51905.07 / Max: 52011.9 Min: 60677.9 / Avg: 60900.53 / Max: 61108.8 Min: 63346.4 / Avg: 63770.3 / Max: 64199.1 Min: 69746.7 / Avg: 69915.63 / Max: 70161.9 Min: 76447.6 / Avg: 76578.73 / Max: 76759.7 Min: 82040.7 / Avg: 82153.33 / Max: 82349.4 Min: 85157.5 / Avg: 85334.2 / Max: 85521.6 Min: 122779 / Avg: 122845 / Max: 122946 Min: 141751 / Avg: 141836.33 / Max: 142001 Min: 163345 / Avg: 163904.33 / Max: 164492 Min: 164487 / Avg: 164541 / Max: 164583 Min: 174332 / Avg: 174502.67 / Max: 174749
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7662 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40K 80K 120K 160K 200K SE +/- 64.61, N = 3 SE +/- 23.48, N = 3 SE +/- 138.57, N = 3 SE +/- 62.14, N = 3 SE +/- 22.72, N = 3 SE +/- 94.61, N = 3 SE +/- 35.66, N = 3 SE +/- 133.33, N = 3 SE +/- 122.28, N = 3 SE +/- 76.57, N = 3 SE +/- 233.89, N = 3 SE +/- 89.89, N = 3 SE +/- 79.13, N = 3 SE +/- 74.39, N = 3 SE +/- 28.02, N = 3 SE +/- 28.32, N = 3 SE +/- 145.83, N = 3 SE +/- 319.47, N = 3 SE +/- 17.29, N = 3 SE +/- 384.36, N = 3 37901.1 44046.0 46464.0 47132.4 47163.9 47246.1 50064.0 50965.7 51004.7 59952.8 62532.0 68647.0 75486.4 80410.4 84104.2 120293.0 139149.0 160652.0 161011.0 171635.0 Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7662 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K Min: 37813.3 / Avg: 37901.1 / Max: 38027.1 Min: 44006.7 / Avg: 44046 / Max: 44087.9 Min: 46220.9 / Avg: 46464.03 / Max: 46700.8 Min: 47008.3 / Avg: 47132.37 / Max: 47200.6 Min: 47120.1 / Avg: 47163.93 / Max: 47196.2 Min: 47060.9 / Avg: 47246.07 / Max: 47372.4 Min: 49993.7 / Avg: 50063.97 / Max: 50109.7 Min: 50767.5 / Avg: 50965.7 / Max: 51219.3 Min: 50760.8 / Avg: 51004.7 / Max: 51142.1 Min: 59823.5 / Avg: 59952.77 / Max: 60088.5 Min: 62071.6 / Avg: 62532.03 / Max: 62833.8 Min: 68468.5 / Avg: 68647 / Max: 68754.8 Min: 75371.5 / Avg: 75486.4 / Max: 75638.1 Min: 80332.6 / Avg: 80410.37 / Max: 80559.1 Min: 84048.5 / Avg: 84104.23 / Max: 84137.2 Min: 120245 / Avg: 120292.67 / Max: 120343 Min: 138882 / Avg: 139149.33 / Max: 139384 Min: 160061 / Avg: 160651.67 / Max: 161158 Min: 160990 / Avg: 161010.67 / Max: 161045 Min: 170868 / Avg: 171635 / Max: 172063
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7262 EPYC 7452 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7232P 14 28 42 56 70 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 52.99 53.05 55.37 59.68 60.30 60.39 60.52 60.56 60.60 60.73 61.21 61.53 61.60 61.64 61.77 62.97 63.00 63.31 64.22 64.55 1. git version 2.27.0 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7262 EPYC 7452 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7232P 13 26 39 52 65 Min: 52.87 / Avg: 52.99 / Max: 53.12 Min: 53.01 / Avg: 53.05 / Max: 53.11 Min: 55.16 / Avg: 55.37 / Max: 55.55 Min: 59.54 / Avg: 59.68 / Max: 59.81 Min: 60.19 / Avg: 60.3 / Max: 60.4 Min: 60.34 / Avg: 60.39 / Max: 60.45 Min: 60.5 / Avg: 60.52 / Max: 60.55 Min: 60.52 / Avg: 60.56 / Max: 60.62 Min: 60.49 / Avg: 60.6 / Max: 60.69 Min: 60.63 / Avg: 60.73 / Max: 60.78 Min: 61.13 / Avg: 61.21 / Max: 61.26 Min: 61.41 / Avg: 61.53 / Max: 61.67 Min: 61.36 / Avg: 61.6 / Max: 61.77 Min: 61.63 / Avg: 61.64 / Max: 61.67 Min: 61.7 / Avg: 61.77 / Max: 61.88 Min: 62.89 / Avg: 62.97 / Max: 63.03 Min: 62.84 / Avg: 63 / Max: 63.14 Min: 63 / Avg: 63.31 / Max: 63.81 Min: 64.09 / Avg: 64.22 / Max: 64.35 Min: 64.46 / Avg: 64.55 / Max: 64.65 1. git version 2.27.0
OpenVINO Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7302P EPYC 7402P EPYC 7232P EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7352 EPYC 7642 EPYC 7662 EPYC 7702 0.2633 0.5266 0.7899 1.0532 1.3165 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 +/- 0.01, 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 0.77 0.79 0.79 0.80 0.81 0.82 0.83 0.85 0.86 0.88 0.88 0.88 0.90 0.91 0.95 0.97 0.98 1.02 1.04 1.17 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7302P EPYC 7402P EPYC 7232P EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7352 EPYC 7642 EPYC 7662 EPYC 7702 2 4 6 8 10 Min: 0.76 / Avg: 0.77 / Max: 0.77 Min: 0.79 / Avg: 0.79 / Max: 0.8 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.82 / Avg: 0.82 / Max: 0.82 Min: 0.82 / Avg: 0.83 / Max: 0.83 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.88 / Avg: 0.88 / Max: 0.88 Min: 0.87 / Avg: 0.88 / Max: 0.89 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.91 / Avg: 0.91 / Max: 0.92 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 1.01 / Avg: 1.02 / Max: 1.02 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.16 / Avg: 1.17 / Max: 1.17 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 6K 12K 18K 24K 30K SE +/- 124.62, N = 3 SE +/- 21.64, N = 3 SE +/- 69.23, N = 3 SE +/- 48.36, N = 3 SE +/- 105.19, N = 3 SE +/- 95.18, N = 3 SE +/- 33.89, N = 3 SE +/- 61.19, N = 3 SE +/- 3.90, N = 3 SE +/- 29.68, N = 3 SE +/- 94.67, N = 3 SE +/- 7.81, N = 3 SE +/- 8.85, N = 3 SE +/- 47.23, N = 3 SE +/- 24.93, N = 3 SE +/- 8.61, N = 3 SE +/- 1.21, N = 3 SE +/- 5.11, N = 3 SE +/- 3.95, N = 3 SE +/- 6.39, N = 3 29367.21 26400.82 24039.13 22849.66 20072.56 18803.44 18654.33 16765.72 16165.30 14247.65 13173.76 11890.05 9658.17 9634.72 8690.07 6553.65 4791.20 4461.19 4377.26 4161.93 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 5K 10K 15K 20K 25K Min: 29117.97 / Avg: 29367.21 / Max: 29493.71 Min: 26376.32 / Avg: 26400.82 / Max: 26443.96 Min: 23957.88 / Avg: 24039.13 / Max: 24176.84 Min: 22764.7 / Avg: 22849.66 / Max: 22932.16 Min: 19928.28 / Avg: 20072.56 / Max: 20277.29 Min: 18695.04 / Avg: 18803.44 / Max: 18993.16 Min: 18617.18 / Avg: 18654.33 / Max: 18722.01 Min: 16649.67 / Avg: 16765.72 / Max: 16857.38 Min: 16158.84 / Avg: 16165.3 / Max: 16172.32 Min: 14196.17 / Avg: 14247.65 / Max: 14299 Min: 12985.33 / Avg: 13173.76 / Max: 13284.11 Min: 11875.61 / Avg: 11890.05 / Max: 11902.45 Min: 9642.33 / Avg: 9658.17 / Max: 9672.92 Min: 9543.58 / Avg: 9634.72 / Max: 9701.76 Min: 8640.29 / Avg: 8690.07 / Max: 8717.28 Min: 6542.06 / Avg: 6553.65 / Max: 6570.47 Min: 4788.78 / Avg: 4791.2 / Max: 4792.51 Min: 4453.13 / Avg: 4461.19 / Max: 4470.66 Min: 4372.44 / Avg: 4377.26 / Max: 4385.09 Min: 4152.56 / Avg: 4161.93 / Max: 4174.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7262 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7232P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 0.2633 0.5266 0.7899 1.0532 1.3165 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 +/- 0.01, 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 0.76 0.79 0.79 0.80 0.81 0.82 0.82 0.85 0.86 0.86 0.87 0.88 0.90 0.91 0.96 0.98 0.98 1.02 1.04 1.17 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7542 EPYC 7282 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7262 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7232P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 2 4 6 8 10 Min: 0.76 / Avg: 0.76 / Max: 0.77 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.81 / Avg: 0.81 / Max: 0.82 Min: 0.82 / Avg: 0.82 / Max: 0.83 Min: 0.81 / Avg: 0.82 / Max: 0.82 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.89 / Avg: 0.9 / Max: 0.91 Min: 0.91 / Avg: 0.91 / Max: 0.91 Min: 0.95 / Avg: 0.96 / Max: 0.96 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.97 / Avg: 0.98 / Max: 0.98 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 1.17 / Avg: 1.17 / Max: 1.17 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 6K 12K 18K 24K 30K SE +/- 183.24, N = 3 SE +/- 20.84, N = 3 SE +/- 56.63, N = 3 SE +/- 14.24, N = 3 SE +/- 54.92, N = 3 SE +/- 61.05, N = 3 SE +/- 107.37, N = 3 SE +/- 16.15, N = 3 SE +/- 22.13, N = 3 SE +/- 24.25, N = 3 SE +/- 17.40, N = 3 SE +/- 13.62, N = 3 SE +/- 13.09, N = 3 SE +/- 0.93, N = 3 SE +/- 13.64, N = 3 SE +/- 5.52, N = 3 SE +/- 6.67, N = 3 SE +/- 6.17, N = 3 SE +/- 0.82, N = 3 SE +/- 37.46, N = 3 29381.07 26399.13 23914.70 22787.21 20075.53 19121.22 18723.61 16906.29 16112.28 14162.60 13267.26 11838.88 9710.46 9632.78 8843.63 6551.42 4813.33 4463.04 4376.88 4157.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 5K 10K 15K 20K 25K Min: 29139.87 / Avg: 29381.07 / Max: 29740.62 Min: 26362.89 / Avg: 26399.13 / Max: 26435.08 Min: 23815.23 / Avg: 23914.7 / Max: 24011.34 Min: 22765.93 / Avg: 22787.21 / Max: 22814.23 Min: 19967.16 / Avg: 20075.53 / Max: 20145.19 Min: 19019.2 / Avg: 19121.22 / Max: 19230.34 Min: 18509.29 / Avg: 18723.61 / Max: 18842.47 Min: 16874.31 / Avg: 16906.29 / Max: 16926.14 Min: 16069.26 / Avg: 16112.28 / Max: 16142.81 Min: 14134.41 / Avg: 14162.6 / Max: 14210.87 Min: 13243.23 / Avg: 13267.26 / Max: 13301.06 Min: 11812.28 / Avg: 11838.88 / Max: 11857.28 Min: 9685.99 / Avg: 9710.46 / Max: 9730.76 Min: 9631.57 / Avg: 9632.78 / Max: 9634.61 Min: 8816.35 / Avg: 8843.63 / Max: 8857.35 Min: 6541.02 / Avg: 6551.42 / Max: 6559.83 Min: 4800.61 / Avg: 4813.33 / Max: 4823.16 Min: 4452.92 / Avg: 4463.04 / Max: 4474.2 Min: 4375.53 / Avg: 4376.88 / Max: 4378.35 Min: 4085.57 / Avg: 4157.14 / Max: 4212.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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: Random Fill Sync EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7F52 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 40K 80K 120K 160K 200K SE +/- 196.12, N = 3 SE +/- 168.25, N = 3 SE +/- 320.60, N = 3 SE +/- 219.56, N = 3 SE +/- 115.80, N = 3 SE +/- 41.05, N = 3 SE +/- 187.85, N = 3 SE +/- 158.35, N = 3 SE +/- 41.97, N = 3 SE +/- 531.97, N = 3 SE +/- 165.04, N = 3 SE +/- 354.28, N = 3 SE +/- 255.82, N = 3 SE +/- 82.24, N = 3 SE +/- 157.79, N = 3 SE +/- 246.26, N = 3 SE +/- 103.64, N = 3 SE +/- 139.20, N = 3 SE +/- 51.41, N = 3 SE +/- 284.64, N = 3 201155 197631 160177 159162 155900 148700 148225 146157 138345 134174 131671 126717 117512 109127 93454 88107 79963 59491 59225 59153 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7F52 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 30K 60K 90K 120K 150K Min: 200793 / Avg: 201154.67 / Max: 201467 Min: 197331 / Avg: 197631 / Max: 197913 Min: 159540 / Avg: 160177 / Max: 160559 Min: 158791 / Avg: 159162.33 / Max: 159551 Min: 155770 / Avg: 155900 / Max: 156131 Min: 148644 / Avg: 148700 / Max: 148780 Min: 147909 / Avg: 148225 / Max: 148559 Min: 145843 / Avg: 146157.33 / Max: 146348 Min: 138265 / Avg: 138345 / Max: 138407 Min: 133400 / Avg: 134173.67 / Max: 135193 Min: 131343 / Avg: 131671 / Max: 131867 Min: 126014 / Avg: 126716.67 / Max: 127147 Min: 117108 / Avg: 117512.33 / Max: 117986 Min: 108974 / Avg: 109126.67 / Max: 109256 Min: 93197 / Avg: 93453.67 / Max: 93741 Min: 87677 / Avg: 88106.67 / Max: 88530 Min: 79785 / Avg: 79963.33 / Max: 80144 Min: 59213 / Avg: 59491.33 / Max: 59636 Min: 59125 / Avg: 59225.33 / Max: 59295 Min: 58585 / Avg: 59153 / Max: 59470 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
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 7F72 EPYC 7542 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7702 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16 32 48 64 80 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 51.41 52.82 52.86 53.72 53.80 54.62 54.97 56.78 57.27 58.14 58.36 58.83 59.36 59.93 60.13 61.05 62.98 69.76 72.47 72.49 1. RawTherapee, version 5.8, command line. Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7F72 EPYC 7542 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7702 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 Min: 51.38 / Avg: 51.41 / Max: 51.43 Min: 52.64 / Avg: 52.82 / Max: 52.94 Min: 52.74 / Avg: 52.86 / Max: 53.01 Min: 53.63 / Avg: 53.72 / Max: 53.77 Min: 53.76 / Avg: 53.8 / Max: 53.82 Min: 54.56 / Avg: 54.62 / Max: 54.71 Min: 54.91 / Avg: 54.97 / Max: 55.02 Min: 56.67 / Avg: 56.78 / Max: 56.91 Min: 57.1 / Avg: 57.27 / Max: 57.49 Min: 58.06 / Avg: 58.14 / Max: 58.22 Min: 58.17 / Avg: 58.36 / Max: 58.51 Min: 58.72 / Avg: 58.83 / Max: 58.96 Min: 59.28 / Avg: 59.36 / Max: 59.51 Min: 59.8 / Avg: 59.93 / Max: 60.03 Min: 59.99 / Avg: 60.13 / Max: 60.38 Min: 61.02 / Avg: 61.05 / Max: 61.08 Min: 62.92 / Avg: 62.98 / Max: 63.01 Min: 69.64 / Avg: 69.76 / Max: 69.97 Min: 72.43 / Avg: 72.47 / Max: 72.51 Min: 72.37 / Avg: 72.49 / Max: 72.65 1. RawTherapee, version 5.8, command line.
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 900K 1800K 2700K 3600K 4500K SE +/- 12490.00, N = 3 SE +/- 10503.97, N = 3 SE +/- 3055.05, N = 3 SE +/- 17776.39, N = 3 SE +/- 7218.80, N = 3 SE +/- 4932.88, N = 3 SE +/- 6437.74, N = 3 SE +/- 9504.38, N = 3 SE +/- 5811.87, N = 3 SE +/- 3179.80, N = 3 SE +/- 2645.75, N = 3 SE +/- 4630.81, N = 3 SE +/- 2403.70, N = 3 SE +/- 4630.81, N = 3 SE +/- 2590.75, N = 3 SE +/- 5929.17, N = 3 SE +/- 1052.26, N = 3 SE +/- 1479.80, N = 3 SE +/- 1989.22, N = 3 4116000 3723000 3528000 3511000 2779333 2588000 2579667 2510000 2361667 2311333 2121000 1709333 1700333 1454667 1356000 995857 806656 757145 720571 664064 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2 Result Confidence
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 700K 1400K 2100K 2800K 3500K Min: 4098000 / Avg: 4116000 / Max: 4140000 Min: 3702000 / Avg: 3723000 / Max: 3734000 Min: 3522000 / Avg: 3528000 / Max: 3532000 Min: 3485000 / Avg: 3511000 / Max: 3545000 Min: 2765000 / Avg: 2779333.33 / Max: 2788000 Min: 2580000 / Avg: 2588000 / Max: 2597000 Min: 2567000 / Avg: 2579666.67 / Max: 2588000 Min: 2500000 / Avg: 2510000 / Max: 2529000 Min: 2351000 / Avg: 2361666.67 / Max: 2371000 Min: 2306000 / Avg: 2311333.33 / Max: 2317000 Min: 2116000 / Avg: 2121000 / Max: 2125000 Min: 1701000 / Avg: 1709333.33 / Max: 1717000 Min: 1697000 / Avg: 1700333.33 / Max: 1705000 Min: 1447000 / Avg: 1454666.67 / Max: 1463000 Min: 990720 / Avg: 995856.67 / Max: 999014 Min: 795187 / Avg: 806655.67 / Max: 815001 Min: 755046 / Avg: 757145.33 / Max: 758323 Min: 717619 / Avg: 720571.33 / Max: 722227 Min: 661401 / Avg: 664063.67 / Max: 667955 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 140 280 420 560 700 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 SE +/- 1.45, N = 3 SE +/- 1.15, N = 3 SE +/- 1.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 0.88, N = 3 SE +/- 1.53, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 648 632 603 588 548 545 539 507 497 492 471 432 419 382 356 294 251 225 214 212 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 110 220 330 440 550 Min: 645 / Avg: 647.67 / Max: 651 Min: 630 / Avg: 631.67 / Max: 634 Min: 601 / Avg: 603.33 / Max: 606 Min: 546 / Avg: 548 / Max: 550 Min: 543 / Avg: 545 / Max: 546 Min: 538 / Avg: 539.33 / Max: 540 Min: 496 / Avg: 497.33 / Max: 498 Min: 490 / Avg: 491.67 / Max: 493 Min: 469 / Avg: 471 / Max: 474 Min: 431 / Avg: 432 / Max: 433 Min: 418 / Avg: 418.67 / Max: 419 Min: 293 / Avg: 293.67 / Max: 294 Min: 224 / Avg: 225.33 / Max: 226 Min: 211 / Avg: 211.67 / Max: 212 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 864 820 756 732 601 582 570 554 532 513 471 415 384 332 315 240 196 174 165 162 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 150 300 450 600 750 Min: 862 / Avg: 863.67 / Max: 865 Min: 819 / Avg: 820 / Max: 821 Min: 755 / Avg: 756 / Max: 757 Min: 554 / Avg: 554.33 / Max: 555 Min: 530 / Avg: 531.67 / Max: 533 Min: 512 / Avg: 513 / Max: 514 Min: 415 / Avg: 415.33 / Max: 416 Min: 196 / Avg: 196.33 / Max: 197 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 2.03, N = 3 SE +/- 1.76, N = 3 SE +/- 2.65, N = 3 SE +/- 1.33, N = 3 SE +/- 1.86, N = 3 SE +/- 0.33, N = 3 SE +/- 2.08, N = 3 SE +/- 1.20, N = 3 SE +/- 4.58, N = 3 SE +/- 1.20, N = 3 SE +/- 1.53, N = 3 SE +/- 2.08, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 1666 1622 1525 1442 1268 1246 1195 1165 1129 1127 1024 909 898 796 724 577 480 431 406 391 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1662 / Avg: 1665.67 / Max: 1669 Min: 1619 / Avg: 1621.67 / Max: 1625 Min: 1520 / Avg: 1525 / Max: 1529 Min: 1441 / Avg: 1442.33 / Max: 1445 Min: 1264 / Avg: 1267.67 / Max: 1270 Min: 1246 / Avg: 1246.33 / Max: 1247 Min: 1191 / Avg: 1195 / Max: 1198 Min: 1163 / Avg: 1164.67 / Max: 1167 Min: 1123 / Avg: 1129 / Max: 1138 Min: 1022 / Avg: 1024.33 / Max: 1026 Min: 906 / Avg: 909 / Max: 911 Min: 894 / Avg: 898 / Max: 901 Min: 794 / Avg: 796 / Max: 797 Min: 723 / Avg: 723.67 / Max: 724 Min: 478 / Avg: 480 / Max: 481 Min: 405 / Avg: 405.67 / Max: 407 Min: 390 / Avg: 391 / Max: 392 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space EPYC 7502P EPYC 7662 EPYC 7542 EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7F72 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7F52 EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 300 600 900 1200 1500 SE +/- 2.89, N = 3 SE +/- 6.08, N = 3 SE +/- 1.53, N = 3 SE +/- 5.20, N = 3 SE +/- 3.06, N = 3 SE +/- 4.37, N = 3 SE +/- 6.36, N = 3 SE +/- 1.86, N = 3 SE +/- 7.84, N = 3 SE +/- 3.51, N = 3 SE +/- 0.88, N = 3 SE +/- 5.51, N = 3 SE +/- 0.67, N = 3 SE +/- 1.20, N = 3 SE +/- 1.73, N = 3 1264 1211 1204 1203 1177 1165 1150 1142 1140 1139 1138 1112 1111 1045 1002 908 897 853 831 800 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space EPYC 7502P EPYC 7662 EPYC 7542 EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7F72 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7F52 EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 200 400 600 800 1000 Min: 1259 / Avg: 1264 / Max: 1269 Min: 1200 / Avg: 1211 / Max: 1221 Min: 1202 / Avg: 1204 / Max: 1207 Min: 1194 / Avg: 1203 / Max: 1212 Min: 1171 / Avg: 1177 / Max: 1181 Min: 1156 / Avg: 1164.67 / Max: 1170 Min: 1129 / Avg: 1141.67 / Max: 1149 Min: 1136 / Avg: 1139.67 / Max: 1142 Min: 1131 / Avg: 1139.33 / Max: 1155 Min: 1131 / Avg: 1138 / Max: 1142 Min: 1110 / Avg: 1111.67 / Max: 1113 Min: 1101 / Avg: 1111 / Max: 1120 Min: 1044 / Avg: 1044.67 / Max: 1046 Min: 906 / Avg: 908.33 / Max: 910 Min: 894 / Avg: 897 / Max: 900 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding EPYC 7642 EPYC 7F52 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7252 EPYC 7232P 1300 2600 3900 5200 6500 SE +/- 2.61, N = 3 SE +/- 19.79, N = 3 SE +/- 0.69, N = 3 SE +/- 249.68, N = 3 SE +/- 6.88, N = 3 SE +/- 100.04, N = 3 SE +/- 243.60, N = 3 SE +/- 27.55, N = 3 SE +/- 1.06, N = 3 SE +/- 3.82, N = 3 SE +/- 1.06, N = 3 SE +/- 3.67, N = 3 SE +/- 6.65, N = 3 SE +/- 95.82, N = 15 SE +/- 6.65, N = 3 SE +/- 55.69, N = 15 SE +/- 48.28, N = 15 SE +/- 79.31, N = 15 SE +/- 2.09, N = 3 SE +/- 1.17, N = 5 6148.31 6042.82 5936.73 5841.65 5767.29 5703.97 5630.66 5282.86 5206.88 5205.83 5205.82 5201.59 4953.62 4616.84 2890.84 2815.25 2748.41 2675.68 2586.06 2501.23 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding EPYC 7642 EPYC 7F52 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 Min: 6144.37 / Avg: 6148.31 / Max: 6153.24 Min: 6008.6 / Avg: 6042.82 / Max: 6077.17 Min: 5935.35 / Avg: 5936.73 / Max: 5937.42 Min: 5372.13 / Avg: 5841.65 / Max: 6223.66 Min: 5754.29 / Avg: 5767.29 / Max: 5777.71 Min: 5504 / Avg: 5703.97 / Max: 5809.88 Min: 5311.84 / Avg: 5630.66 / Max: 6109.12 Min: 5229.25 / Avg: 5282.86 / Max: 5320.69 Min: 5204.76 / Avg: 5206.88 / Max: 5207.94 Min: 5198.41 / Avg: 5205.83 / Max: 5211.13 Min: 5204.76 / Avg: 5205.82 / Max: 5207.94 Min: 5195.24 / Avg: 5201.59 / Max: 5207.94 Min: 4942.11 / Avg: 4953.62 / Max: 4965.15 Min: 3942.1 / Avg: 4616.84 / Max: 5224.97 Min: 2882.34 / Avg: 2890.84 / Max: 2903.95 Min: 2409.56 / Avg: 2815.25 / Max: 3247.02 Min: 2415.02 / Avg: 2748.41 / Max: 3069.23 Min: 2076.07 / Avg: 2675.68 / Max: 2901.97 Min: 2581.88 / Avg: 2586.06 / Max: 2588.15 Min: 2497.13 / Avg: 2501.23 / Max: 2502.99 1. (CXX) g++ options: -lpthread
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding EPYC 7F52 EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7272 1100 2200 3300 4400 5500 SE +/- 12.56, N = 3 SE +/- 3.26, N = 3 SE +/- 5.99, N = 3 SE +/- 0.00, N = 3 SE +/- 28.28, N = 3 SE +/- 15.31, N = 3 SE +/- 0.85, N = 3 SE +/- 38.78, N = 3 SE +/- 7.59, N = 3 SE +/- 1.96, N = 3 SE +/- 2.17, N = 3 SE +/- 0.54, N = 3 SE +/- 0.54, N = 3 SE +/- 28.11, N = 15 SE +/- 37.28, N = 15 SE +/- 67.60, N = 15 SE +/- 3.21, N = 3 SE +/- 31.33, N = 5 SE +/- 11.13, N = 3 SE +/- 30.67, N = 15 5134.77 4533.09 4522.41 4465.51 4424.90 4420.44 4345.56 4014.66 3845.65 3726.03 3724.95 3724.95 3722.77 3504.37 3174.57 3091.42 2431.57 2379.01 2330.58 2265.27 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding EPYC 7F52 EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7272 900 1800 2700 3600 4500 Min: 5114.16 / Avg: 5134.77 / Max: 5157.5 Min: 4527.2 / Avg: 4533.09 / Max: 4538.45 Min: 4510.42 / Avg: 4522.41 / Max: 4528.4 Min: 4465.51 / Avg: 4465.51 / Max: 4465.51 Min: 4385.07 / Avg: 4424.9 / Max: 4479.6 Min: 4399.79 / Avg: 4420.44 / Max: 4450.35 Min: 4344.08 / Avg: 4345.56 / Max: 4347.04 Min: 3937.24 / Avg: 4014.66 / Max: 4057.23 Min: 3831.02 / Avg: 3845.65 / Max: 3856.45 Min: 3722.23 / Avg: 3726.03 / Max: 3728.75 Min: 3720.61 / Avg: 3724.95 / Max: 3727.12 Min: 3723.86 / Avg: 3724.95 / Max: 3725.49 Min: 3722.23 / Avg: 3722.77 / Max: 3723.86 Min: 3304.11 / Avg: 3504.37 / Max: 3672.5 Min: 2821.26 / Avg: 3174.57 / Max: 3365 Min: 2488.37 / Avg: 3091.42 / Max: 3413.54 Min: 2426.02 / Avg: 2431.57 / Max: 2437.13 Min: 2254.02 / Avg: 2379.01 / Max: 2415.02 Min: 2312.76 / Avg: 2330.58 / Max: 2351.05 Min: 2038.97 / Avg: 2265.27 / Max: 2480.65 1. (CXX) g++ options: -lpthread
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7402P EPYC 7F32 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 14 28 42 56 70 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.42, N = 3 SE +/- 0.27, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 47.99 49.59 52.45 53.05 53.24 53.31 53.51 53.59 53.66 53.71 53.75 53.82 54.66 55.60 56.98 57.36 59.55 60.37 63.21 64.23 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 7F52 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7402P EPYC 7F32 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 13 26 39 52 65 Min: 47.94 / Avg: 47.99 / Max: 48.03 Min: 49.5 / Avg: 49.58 / Max: 49.74 Min: 52.38 / Avg: 52.45 / Max: 52.56 Min: 53 / Avg: 53.05 / Max: 53.13 Min: 53.2 / Avg: 53.24 / Max: 53.27 Min: 53.31 / Avg: 53.31 / Max: 53.31 Min: 53.47 / Avg: 53.51 / Max: 53.54 Min: 53.57 / Avg: 53.59 / Max: 53.6 Min: 53.59 / Avg: 53.66 / Max: 53.7 Min: 53.63 / Avg: 53.71 / Max: 53.83 Min: 53.37 / Avg: 53.75 / Max: 54.01 Min: 53.73 / Avg: 53.82 / Max: 53.89 Min: 54.49 / Avg: 54.65 / Max: 54.84 Min: 55.5 / Avg: 55.6 / Max: 55.71 Min: 56.93 / Avg: 56.98 / Max: 57.02 Min: 57.2 / Avg: 57.36 / Max: 57.55 Min: 59.1 / Avg: 59.55 / Max: 60.39 Min: 59.95 / Avg: 60.37 / Max: 60.88 Min: 63.19 / Avg: 63.21 / Max: 63.22 Min: 64.18 / Avg: 64.23 / Max: 64.32 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Node.js Express HTTP Load Test A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7252 EPYC 7662 EPYC 7F32 EPYC 7542 EPYC 7502 EPYC 7272 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7232P EPYC 7262 1200 2400 3600 4800 6000 SE +/- 4.04, N = 3 SE +/- 24.66, N = 3 SE +/- 36.29, N = 3 SE +/- 1.33, N = 3 SE +/- 8.14, N = 3 SE +/- 30.93, N = 3 SE +/- 16.76, N = 3 SE +/- 47.30, N = 3 SE +/- 62.95, N = 3 SE +/- 24.85, N = 3 SE +/- 43.70, N = 15 SE +/- 63.07, N = 3 SE +/- 53.48, N = 3 SE +/- 32.77, N = 15 SE +/- 35.10, N = 3 SE +/- 33.02, N = 15 SE +/- 33.29, N = 15 SE +/- 44.07, N = 4 SE +/- 42.15, N = 3 SE +/- 24.73, N = 15 5661 5448 5226 5135 4937 4887 4806 4719 4515 4350 4316 4078 4014 4000 3762 3359 3003 2971 2850 2839 1. Nodejs
v12.18.2 Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7252 EPYC 7662 EPYC 7F32 EPYC 7542 EPYC 7502 EPYC 7272 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7232P EPYC 7262 1000 2000 3000 4000 5000 Min: 5656 / Avg: 5661 / Max: 5669 Min: 5415 / Avg: 5447.67 / Max: 5496 Min: 5160 / Avg: 5226.33 / Max: 5285 Min: 5134 / Avg: 5135.33 / Max: 5138 Min: 4924 / Avg: 4937 / Max: 4952 Min: 4849 / Avg: 4886.67 / Max: 4948 Min: 4786 / Avg: 4805.67 / Max: 4839 Min: 4633 / Avg: 4719.33 / Max: 4796 Min: 4404 / Avg: 4514.67 / Max: 4622 Min: 4306 / Avg: 4350 / Max: 4392 Min: 3849 / Avg: 4316.33 / Max: 4532 Min: 3996 / Avg: 4078 / Max: 4202 Min: 3933 / Avg: 4014 / Max: 4115 Min: 3662 / Avg: 4000 / Max: 4169 Min: 3698 / Avg: 3762 / Max: 3819 Min: 3068 / Avg: 3359.4 / Max: 3589 Min: 2748 / Avg: 3002.73 / Max: 3153 Min: 2858 / Avg: 2971.25 / Max: 3059 Min: 2767 / Avg: 2850.33 / Max: 2903 Min: 2724 / Avg: 2839 / Max: 3060 1. Nodejs
v12.18.2
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 7F72 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 45.82 45.96 46.18 46.95 47.22 47.62 47.86 48.84 48.93 49.59 49.82 50.64 54.65 56.04 58.62 63.45 64.67 72.31 76.74 79.22 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 Min: 45.8 / Avg: 45.82 / Max: 45.84 Min: 45.86 / Avg: 45.96 / Max: 46.04 Min: 46.1 / Avg: 46.18 / Max: 46.3 Min: 46.91 / Avg: 46.95 / Max: 47 Min: 47.14 / Avg: 47.22 / Max: 47.29 Min: 47.6 / Avg: 47.62 / Max: 47.65 Min: 47.82 / Avg: 47.86 / Max: 47.88 Min: 48.79 / Avg: 48.84 / Max: 48.9 Min: 48.79 / Avg: 48.93 / Max: 49.03 Min: 49.5 / Avg: 49.59 / Max: 49.74 Min: 49.8 / Avg: 49.82 / Max: 49.86 Min: 50.54 / Avg: 50.64 / Max: 50.72 Min: 54.53 / Avg: 54.65 / Max: 54.82 Min: 55.96 / Avg: 56.04 / Max: 56.12 Min: 58.53 / Avg: 58.62 / Max: 58.68 Min: 63.31 / Avg: 63.45 / Max: 63.6 Min: 64.6 / Avg: 64.67 / Max: 64.79 Min: 71.93 / Avg: 72.31 / Max: 72.57 Min: 76.36 / Avg: 76.74 / Max: 77.12 Min: 79.14 / Avg: 79.22 / Max: 79.35
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 7F72 EPYC 7F52 EPYC 7542 EPYC 7F32 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.19, N = 3 SE +/- 0.23, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.40, N = 3 SE +/- 0.32, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.25, N = 3 SE +/- 0.38, N = 3 SE +/- 0.15, N = 3 SE +/- 0.41, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 SE +/- 0.31, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 49.73 50.68 52.42 52.94 53.10 53.39 53.43 53.72 54.45 54.53 54.66 54.94 55.13 55.29 55.77 56.65 56.73 59.17 60.35 60.57 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7F32 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 49.54 / Avg: 49.72 / Max: 49.93 Min: 50.42 / Avg: 50.68 / Max: 50.83 Min: 52.04 / Avg: 52.42 / Max: 52.67 Min: 52.48 / Avg: 52.94 / Max: 53.18 Min: 52.78 / Avg: 53.1 / Max: 53.6 Min: 52.95 / Avg: 53.39 / Max: 53.77 Min: 52.7 / Avg: 53.43 / Max: 54.09 Min: 53.08 / Avg: 53.72 / Max: 54.09 Min: 54.04 / Avg: 54.45 / Max: 54.69 Min: 54.34 / Avg: 54.53 / Max: 54.81 Min: 54.28 / Avg: 54.66 / Max: 55.14 Min: 54.17 / Avg: 54.94 / Max: 55.32 Min: 54.84 / Avg: 55.13 / Max: 55.35 Min: 54.64 / Avg: 55.28 / Max: 56.05 Min: 55.26 / Avg: 55.77 / Max: 56.6 Min: 56.37 / Avg: 56.65 / Max: 57.07 Min: 56.18 / Avg: 56.73 / Max: 57.24 Min: 59.05 / Avg: 59.17 / Max: 59.24 Min: 60.05 / Avg: 60.35 / Max: 60.87 Min: 60.08 / Avg: 60.57 / Max: 60.83
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: Forking EPYC 7282 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7352 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 14K 28K 42K 56K 70K SE +/- 152.36, N = 3 SE +/- 437.03, N = 3 SE +/- 1239.94, N = 15 SE +/- 241.08, N = 3 SE +/- 491.54, N = 3 SE +/- 920.22, N = 4 SE +/- 490.90, N = 14 SE +/- 1348.73, N = 15 SE +/- 275.30, N = 3 SE +/- 229.75, N = 3 SE +/- 84.88, N = 3 SE +/- 341.83, N = 3 SE +/- 468.99, N = 15 SE +/- 321.18, N = 3 SE +/- 60.18, N = 3 SE +/- 176.57, N = 3 SE +/- 71.48, N = 3 SE +/- 239.10, N = 3 SE +/- 133.20, N = 3 SE +/- 91.74, N = 3 65784.91 64460.63 64404.93 63083.58 61836.51 61372.67 61253.78 61161.49 59610.98 59402.61 54278.91 52852.27 52421.16 51763.13 51197.81 51183.28 38055.48 37856.21 37612.10 34303.92 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Forking EPYC 7282 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7352 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 11K 22K 33K 44K 55K Min: 65481.22 / Avg: 65784.91 / Max: 65958.47 Min: 63717.54 / Avg: 64460.63 / Max: 65230.73 Min: 56916.25 / Avg: 64404.93 / Max: 69223.31 Min: 62764.22 / Avg: 63083.58 / Max: 63556.1 Min: 61166.4 / Avg: 61836.51 / Max: 62794.51 Min: 58752.25 / Avg: 61372.67 / Max: 62931.84 Min: 58118.01 / Avg: 61253.78 / Max: 64354.32 Min: 53679.74 / Avg: 61161.49 / Max: 66058.07 Min: 59178.64 / Avg: 59610.98 / Max: 60122.42 Min: 58959.13 / Avg: 59402.61 / Max: 59728.54 Min: 54160.94 / Avg: 54278.91 / Max: 54443.62 Min: 52179.66 / Avg: 52852.27 / Max: 53294.56 Min: 48119.17 / Avg: 52421.16 / Max: 53819.68 Min: 51177.38 / Avg: 51763.13 / Max: 52284.35 Min: 51112.45 / Avg: 51197.81 / Max: 51313.99 Min: 50839.81 / Avg: 51183.28 / Max: 51426.06 Min: 37912.54 / Avg: 38055.48 / Max: 38128.59 Min: 37556.37 / Avg: 37856.21 / Max: 38328.73 Min: 37466.22 / Avg: 37612.1 / Max: 37878.08 Min: 34195.02 / Avg: 34303.92 / Max: 34486.25 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.267671, N = 3 SE +/- 0.249884, N = 3 SE +/- 0.194041, N = 3 SE +/- 0.118524, N = 15 SE +/- 0.105342, N = 3 SE +/- 0.075924, N = 3 SE +/- 0.079585, N = 15 SE +/- 0.148138, N = 3 SE +/- 0.111318, N = 3 SE +/- 0.044903, N = 3 SE +/- 0.077277, N = 3 SE +/- 0.089451, N = 3 SE +/- 0.050387, N = 3 SE +/- 0.039936, N = 3 SE +/- 0.060143, N = 3 SE +/- 0.042595, N = 3 SE +/- 0.032837, N = 3 SE +/- 0.017368, N = 3 SE +/- 0.031130, N = 3 SE +/- 0.016232, N = 3 16.544917 15.188358 13.770619 12.678299 9.732388 9.488085 9.308025 9.218407 8.907940 7.513536 7.273022 6.740164 6.194514 5.054392 4.499071 3.613094 2.969549 2.717810 2.583445 1.667038 1. (CC) gcc options: -O3 -march=native -fopenmp Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 16.11 / Avg: 16.54 / Max: 17.03 Min: 14.9 / Avg: 15.19 / Max: 15.69 Min: 13.39 / Avg: 13.77 / Max: 14.03 Min: 11.57 / Avg: 12.68 / Max: 13.15 Min: 9.53 / Avg: 9.73 / Max: 9.89 Min: 9.38 / Avg: 9.49 / Max: 9.63 Min: 8.67 / Avg: 9.31 / Max: 9.63 Min: 8.94 / Avg: 9.22 / Max: 9.44 Min: 8.75 / Avg: 8.91 / Max: 9.12 Min: 7.44 / Avg: 7.51 / Max: 7.59 Min: 7.17 / Avg: 7.27 / Max: 7.43 Min: 6.59 / Avg: 6.74 / Max: 6.9 Min: 6.14 / Avg: 6.19 / Max: 6.29 Min: 4.99 / Avg: 5.05 / Max: 5.12 Min: 4.42 / Avg: 4.5 / Max: 4.62 Min: 3.53 / Avg: 3.61 / Max: 3.67 Min: 2.92 / Avg: 2.97 / Max: 3.03 Min: 2.69 / Avg: 2.72 / Max: 2.74 Min: 2.54 / Avg: 2.58 / Max: 2.64 Min: 1.64 / Avg: 1.67 / Max: 1.7 1. (CC) gcc options: -O3 -march=native -fopenmp
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.26, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.53, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.36, N = 3 SE +/- 0.53, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 19.29 19.56 23.06 23.14 28.88 31.11 31.64 32.65 34.17 34.73 37.90 45.00 47.15 55.83 60.12 78.77 95.81 109.38 114.04 116.86 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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 Min: 19.17 / Avg: 19.29 / Max: 19.41 Min: 19.49 / Avg: 19.56 / Max: 19.64 Min: 23.04 / Avg: 23.06 / Max: 23.07 Min: 22.64 / Avg: 23.14 / Max: 23.51 Min: 28.86 / Avg: 28.88 / Max: 28.92 Min: 31.02 / Avg: 31.11 / Max: 31.16 Min: 31.08 / Avg: 31.64 / Max: 32.7 Min: 32.54 / Avg: 32.65 / Max: 32.75 Min: 33.93 / Avg: 34.17 / Max: 34.43 Min: 34.46 / Avg: 34.73 / Max: 34.87 Min: 37.78 / Avg: 37.9 / Max: 38.07 Min: 44.77 / Avg: 45 / Max: 45.43 Min: 47 / Avg: 47.15 / Max: 47.23 Min: 55.59 / Avg: 55.83 / Max: 56.17 Min: 59.52 / Avg: 60.12 / Max: 60.75 Min: 77.86 / Avg: 78.77 / Max: 79.69 Min: 95.7 / Avg: 95.81 / Max: 95.96 Min: 109.26 / Avg: 109.38 / Max: 109.51 Min: 113.61 / Avg: 114.04 / Max: 114.42 Min: 116.64 / Avg: 116.86 / Max: 117.07 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
dcraw This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 12 24 36 48 60 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 44.35 44.72 46.62 50.71 51.41 51.46 51.47 51.50 51.69 51.76 52.24 52.25 52.33 52.40 52.55 53.86 53.86 54.25 54.77 54.98 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 11 22 33 44 55 Min: 44.25 / Avg: 44.35 / Max: 44.54 Min: 44.68 / Avg: 44.72 / Max: 44.77 Min: 46.59 / Avg: 46.62 / Max: 46.66 Min: 50.68 / Avg: 50.71 / Max: 50.77 Min: 51.4 / Avg: 51.41 / Max: 51.41 Min: 51.42 / Avg: 51.46 / Max: 51.5 Min: 51.42 / Avg: 51.47 / Max: 51.52 Min: 51.37 / Avg: 51.49 / Max: 51.57 Min: 51.52 / Avg: 51.69 / Max: 51.89 Min: 51.75 / Avg: 51.76 / Max: 51.79 Min: 52.14 / Avg: 52.24 / Max: 52.38 Min: 52.18 / Avg: 52.25 / Max: 52.33 Min: 52.31 / Avg: 52.33 / Max: 52.37 Min: 52.36 / Avg: 52.4 / Max: 52.45 Min: 52.24 / Avg: 52.55 / Max: 52.95 Min: 53.76 / Avg: 53.86 / Max: 53.91 Min: 53.81 / Avg: 53.86 / Max: 53.94 Min: 54.1 / Avg: 54.25 / Max: 54.35 Min: 54.75 / Avg: 54.77 / Max: 54.79 Min: 54.79 / Avg: 54.98 / Max: 55.21 1. (CC) gcc options: -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: Magnetic Reconnection - Renderer: SciVis EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 9 18 27 36 45 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 15 SE +/- 0.194, N = 3 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 SE +/- 0.112, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 12 SE +/- 0.062, N = 3 SE +/- 0.000, N = 12 SE +/- 0.009, N = 7 SE +/- 0.009, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 40.000 40.000 34.480 34.480 27.030 25.640 25.640 24.200 23.810 22.220 20.830 18.410 15.625 14.080 13.580 10.200 8.060 7.340 6.900 6.850 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 8 16 24 32 40 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 23.81 / Avg: 24.2 / Max: 24.39 Min: 23.81 / Avg: 23.81 / Max: 23.81 Min: 22.22 / Avg: 22.22 / Max: 22.22 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 18.18 / Avg: 18.41 / Max: 18.52 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 13.51 / Avg: 13.58 / Max: 13.7 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 8 / Avg: 8.06 / Max: 8.06 Min: 7.25 / Avg: 7.34 / Max: 7.35 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 6.85 / Avg: 6.85 / Max: 6.85
Sudokut This is a test of Sudokut, which is a Sudoku puzzle solver written in Tcl. This test measures how long it takes to solve 100 Sudoku puzzles. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7662 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7542 EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7282 EPYC 7642 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 9 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.39, N = 15 SE +/- 0.05, N = 3 SE +/- 0.33, N = 15 SE +/- 0.23, N = 3 SE +/- 0.26, N = 15 SE +/- 0.07, N = 3 SE +/- 0.18, N = 15 SE +/- 0.23, N = 5 SE +/- 0.87, N = 15 SE +/- 0.27, N = 15 SE +/- 0.67, N = 15 SE +/- 0.73, N = 15 SE +/- 0.63, N = 15 13.67 14.28 14.49 15.74 15.83 15.92 16.21 16.34 16.47 16.52 16.65 17.03 17.37 17.38 17.49 18.05 18.32 18.48 18.58 18.79 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7662 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7542 EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7282 EPYC 7642 5 10 15 20 25 Min: 13.65 / Avg: 13.67 / Max: 13.69 Min: 14.26 / Avg: 14.28 / Max: 14.31 Min: 14.13 / Avg: 14.49 / Max: 15.52 Min: 15.73 / Avg: 15.74 / Max: 15.75 Min: 15.77 / Avg: 15.83 / Max: 15.85 Min: 15.8 / Avg: 15.92 / Max: 16.1 Min: 16.2 / Avg: 16.21 / Max: 16.23 Min: 15.79 / Avg: 16.34 / Max: 21.78 Min: 16.37 / Avg: 16.47 / Max: 16.56 Min: 15.82 / Avg: 16.52 / Max: 20.97 Min: 16.31 / Avg: 16.65 / Max: 17.09 Min: 16.44 / Avg: 17.03 / Max: 20.4 Min: 17.27 / Avg: 17.37 / Max: 17.51 Min: 17.01 / Avg: 17.38 / Max: 19.75 Min: 17.2 / Avg: 17.49 / Max: 18.42 Min: 16.4 / Avg: 18.05 / Max: 26.33 Min: 17.74 / Avg: 18.32 / Max: 21.89 Min: 17.47 / Avg: 18.48 / Max: 27.73 Min: 17.09 / Avg: 18.58 / Max: 26.98 Min: 17.66 / Avg: 18.79 / Max: 27.36
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: Glibc C String Functions EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 62679.17, N = 3 SE +/- 56345.22, N = 11 SE +/- 57546.11, N = 7 SE +/- 2133.81, N = 3 SE +/- 19652.38, N = 3 SE +/- 122.33, N = 3 SE +/- 22554.93, N = 3 SE +/- 19986.48, N = 3 SE +/- 16272.59, N = 3 SE +/- 32794.20, N = 15 SE +/- 20548.42, N = 3 SE +/- 39675.39, N = 3 SE +/- 5912.49, N = 3 SE +/- 11537.25, N = 3 SE +/- 16555.91, N = 3 SE +/- 9958.10, N = 3 SE +/- 29450.71, N = 15 SE +/- 6324.41, N = 3 SE +/- 5330.86, N = 3 SE +/- 16159.45, N = 3 6286052.68 6245020.15 5327299.96 5302329.11 4246337.42 3891895.56 3849752.30 3784170.30 3590511.09 3377578.53 3211403.37 2717558.27 2550932.98 2200579.05 2047387.05 1581427.47 1219801.83 1111691.92 1042243.13 1025514.98 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc C String Functions EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 1.1M 2.2M 3.3M 4.4M 5.5M Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76 Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78 Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63 Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4 Min: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26 Min: 3891660.95 / Avg: 3891895.56 / Max: 3892072.98 Min: 3804854.57 / Avg: 3849752.3 / Max: 3875985.36 Min: 3762447.59 / Avg: 3784170.3 / Max: 3824091.44 Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01 Min: 3136220.09 / Avg: 3377578.53 / Max: 3500588.06 Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23 Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05 Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85 Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19 Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15 Min: 1562684.88 / Avg: 1581427.47 / Max: 1596632.09 Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56 Min: 1099493.97 / Avg: 1111691.92 / Max: 1120689.51 Min: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66 Min: 1008034.14 / Avg: 1025514.98 / Max: 1057796.82 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 9 18 27 36 45 SE +/- 0.08, N = 4 SE +/- 0.06, N = 4 SE +/- 0.12, N = 4 SE +/- 0.12, N = 4 SE +/- 0.10, N = 4 SE +/- 0.11, N = 4 SE +/- 0.11, N = 4 SE +/- 0.06, N = 4 SE +/- 0.10, N = 4 SE +/- 0.15, N = 4 SE +/- 0.09, N = 4 SE +/- 0.09, N = 4 SE +/- 0.13, N = 4 SE +/- 0.11, N = 4 SE +/- 0.15, N = 4 SE +/- 0.06, N = 4 SE +/- 0.13, N = 4 SE +/- 0.09, N = 4 SE +/- 0.05, N = 4 SE +/- 0.08, N = 4 31.18 31.46 32.59 35.45 35.80 35.88 35.97 36.01 36.03 36.10 36.45 36.48 36.50 36.58 36.59 37.56 37.62 37.87 37.97 38.19 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 8 16 24 32 40 Min: 30.99 / Avg: 31.18 / Max: 31.36 Min: 31.29 / Avg: 31.46 / Max: 31.53 Min: 32.3 / Avg: 32.59 / Max: 32.85 Min: 35.15 / Avg: 35.45 / Max: 35.69 Min: 35.62 / Avg: 35.8 / Max: 36.03 Min: 35.69 / Avg: 35.88 / Max: 36.13 Min: 35.7 / Avg: 35.97 / Max: 36.23 Min: 35.87 / Avg: 36.01 / Max: 36.14 Min: 35.75 / Avg: 36.03 / Max: 36.23 Min: 35.7 / Avg: 36.1 / Max: 36.41 Min: 36.22 / Avg: 36.45 / Max: 36.64 Min: 36.26 / Avg: 36.48 / Max: 36.63 Min: 36.27 / Avg: 36.5 / Max: 36.74 Min: 36.34 / Avg: 36.58 / Max: 36.88 Min: 36.3 / Avg: 36.59 / Max: 36.97 Min: 37.4 / Avg: 37.56 / Max: 37.67 Min: 37.35 / Avg: 37.62 / Max: 37.93 Min: 37.67 / Avg: 37.87 / Max: 38.03 Min: 37.88 / Avg: 37.97 / Max: 38.09 Min: 38.05 / Avg: 38.19 / Max: 38.37 1. (CC) gcc options: -O2 -std=c99
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.0423, N = 3 SE +/- 0.0544, N = 3 SE +/- 0.0861, N = 3 SE +/- 0.0860, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0668, N = 3 SE +/- 0.0547, N = 3 SE +/- 0.0254, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0834, N = 3 SE +/- 0.0049, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.1352, N = 3 SE +/- 0.0117, N = 3 SE +/- 0.0549, N = 3 SE +/- 0.0365, N = 3 SE +/- 0.0091, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0111, N = 3 SE +/- 0.0216, N = 3 44.9159 44.5624 41.1410 41.0754 32.9632 31.1938 31.0503 29.8408 29.1758 26.7566 25.2413 22.4622 18.9692 17.2397 16.6041 12.5387 9.4614 8.6359 8.3807 8.3087 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 44.87 / Avg: 44.92 / Max: 45 Min: 44.45 / Avg: 44.56 / Max: 44.62 Min: 40.97 / Avg: 41.14 / Max: 41.25 Min: 40.91 / Avg: 41.08 / Max: 41.18 Min: 32.92 / Avg: 32.96 / Max: 33.02 Min: 31.08 / Avg: 31.19 / Max: 31.31 Min: 30.96 / Avg: 31.05 / Max: 31.15 Min: 29.81 / Avg: 29.84 / Max: 29.89 Min: 29.17 / Avg: 29.18 / Max: 29.18 Min: 26.59 / Avg: 26.76 / Max: 26.86 Min: 25.23 / Avg: 25.24 / Max: 25.25 Min: 22.45 / Avg: 22.46 / Max: 22.47 Min: 18.71 / Avg: 18.97 / Max: 19.16 Min: 17.22 / Avg: 17.24 / Max: 17.26 Min: 16.5 / Avg: 16.6 / Max: 16.69 Min: 12.48 / Avg: 12.54 / Max: 12.6 Min: 9.45 / Avg: 9.46 / Max: 9.48 Min: 8.62 / Avg: 8.64 / Max: 8.65 Min: 8.36 / Avg: 8.38 / Max: 8.4 Min: 8.27 / Avg: 8.31 / Max: 8.34
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.29, N = 3 SE +/- 0.15, N = 3 37.70 38.59 38.73 40.00 40.03 40.97 41.26 41.28 45.25 46.33 47.51 53.88 53.95 62.01 65.94 66.32 1. (CXX) g++ options: -O3 -fPIC Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 13 26 39 52 65 Min: 37.64 / Avg: 37.7 / Max: 37.8 Min: 38.31 / Avg: 38.59 / Max: 38.96 Min: 38.64 / Avg: 38.72 / Max: 38.81 Min: 39.91 / Avg: 40 / Max: 40.04 Min: 39.98 / Avg: 40.03 / Max: 40.08 Min: 40.77 / Avg: 40.97 / Max: 41.1 Min: 41.22 / Avg: 41.26 / Max: 41.28 Min: 41.04 / Avg: 41.28 / Max: 41.64 Min: 44.95 / Avg: 45.25 / Max: 45.64 Min: 46.14 / Avg: 46.33 / Max: 46.45 Min: 47.21 / Avg: 47.51 / Max: 47.96 Min: 53.6 / Avg: 53.88 / Max: 54.21 Min: 53.84 / Avg: 53.95 / Max: 54.03 Min: 61.82 / Avg: 62.01 / Max: 62.12 Min: 65.38 / Avg: 65.94 / Max: 66.34 Min: 66.03 / Avg: 66.32 / Max: 66.54 1. (CXX) g++ options: -O3 -fPIC
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: 1 - Mode: Read Only - Average Latency EPYC 7542 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7272 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7352 EPYC 7F32 EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 0.0122 0.0244 0.0366 0.0488 0.061 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 10 SE +/- 0.000, N = 15 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 4 SE +/- 0.001, N = 3 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 +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.042 0.043 0.043 0.043 0.043 0.043 0.044 0.044 0.044 0.044 0.044 0.047 0.047 0.048 0.048 0.048 0.050 0.051 0.053 0.054 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: 1 - Mode: Read Only - Average Latency EPYC 7542 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7272 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7352 EPYC 7F32 EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 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: 1 - Mode: Read Only EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7282 EPYC 7502P EPYC 7662 EPYC 7272 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 5K 10K 15K 20K 25K SE +/- 298.28, N = 3 SE +/- 195.08, N = 15 SE +/- 221.45, N = 10 SE +/- 259.85, N = 3 SE +/- 103.25, N = 3 SE +/- 235.87, N = 3 SE +/- 311.13, N = 4 SE +/- 373.32, N = 3 SE +/- 141.59, N = 3 SE +/- 215.55, N = 3 SE +/- 180.38, N = 3 SE +/- 348.84, N = 3 SE +/- 113.70, N = 3 SE +/- 183.28, N = 3 SE +/- 270.77, N = 3 SE +/- 92.58, N = 3 SE +/- 96.86, N = 3 SE +/- 137.01, N = 3 SE +/- 75.31, N = 3 SE +/- 66.93, N = 3 23973 23480 23450 23270 23230 23150 23097 22863 22743 22692 22639 21306 21290 21127 21045 20705 20280 19607 18878 18535 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: 1 - Mode: Read Only EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7282 EPYC 7502P EPYC 7662 EPYC 7272 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7262 4K 8K 12K 16K 20K Min: 23414.19 / Avg: 23973.07 / Max: 24433.21 Min: 22482.8 / Avg: 23479.62 / Max: 24923.3 Min: 22549.87 / Avg: 23450.11 / Max: 24645.45 Min: 22857.29 / Avg: 23269.7 / Max: 23749.77 Min: 23038.03 / Avg: 23230.17 / Max: 23391.76 Min: 22682.59 / Avg: 23150.17 / Max: 23438.09 Min: 22465.14 / Avg: 23097.1 / Max: 23890.97 Min: 22130.03 / Avg: 22863.19 / Max: 23352.09 Min: 22481.63 / Avg: 22742.66 / Max: 22968.25 Min: 22374.23 / Avg: 22691.94 / Max: 23103.15 Min: 22278.71 / Avg: 22639.45 / Max: 22823.9 Min: 20657.44 / Avg: 21306.03 / Max: 21852.97 Min: 21063.19 / Avg: 21289.58 / Max: 21421.19 Min: 20930.71 / Avg: 21126.73 / Max: 21493 Min: 20547.72 / Avg: 21044.59 / Max: 21479.57 Min: 20538.04 / Avg: 20704.74 / Max: 20857.89 Min: 20177.79 / Avg: 20280.37 / Max: 20473.98 Min: 19334.71 / Avg: 19607.37 / Max: 19767.3 Min: 18730.54 / Avg: 18878.12 / Max: 18977.97 Min: 18451.75 / Avg: 18535.19 / Max: 18667.56 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.0648, N = 3 SE +/- 0.0908, N = 3 SE +/- 0.0268, N = 3 SE +/- 0.0752, N = 3 SE +/- 0.0968, N = 3 SE +/- 0.0461, N = 3 SE +/- 0.0379, N = 3 SE +/- 0.0478, N = 3 SE +/- 0.0391, N = 3 SE +/- 0.0707, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0170, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0181, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0183, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0184, N = 3 47.4287 47.0971 43.1151 43.0274 34.1704 32.5488 32.4407 31.0287 30.3852 27.8014 26.3280 23.5552 19.9576 17.9550 17.3009 13.1278 9.9019 9.0028 8.7510 8.6971 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 47.32 / Avg: 47.43 / Max: 47.55 Min: 46.92 / Avg: 47.1 / Max: 47.21 Min: 43.07 / Avg: 43.12 / Max: 43.16 Min: 42.88 / Avg: 43.03 / Max: 43.12 Min: 33.98 / Avg: 34.17 / Max: 34.29 Min: 32.49 / Avg: 32.55 / Max: 32.64 Min: 32.37 / Avg: 32.44 / Max: 32.5 Min: 30.93 / Avg: 31.03 / Max: 31.09 Min: 30.34 / Avg: 30.39 / Max: 30.46 Min: 27.66 / Avg: 27.8 / Max: 27.89 Min: 26.27 / Avg: 26.33 / Max: 26.38 Min: 23.53 / Avg: 23.56 / Max: 23.59 Min: 19.87 / Avg: 19.96 / Max: 20.02 Min: 17.94 / Avg: 17.96 / Max: 17.97 Min: 17.28 / Avg: 17.3 / Max: 17.32 Min: 13.1 / Avg: 13.13 / Max: 13.16 Min: 9.9 / Avg: 9.9 / Max: 9.91 Min: 8.98 / Avg: 9 / Max: 9.04 Min: 8.73 / Avg: 8.75 / Max: 8.76 Min: 8.67 / Avg: 8.7 / Max: 8.73
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 15 SE +/- 0.04, N = 3 SE +/- 0.03, N = 4 SE +/- 0.04, N = 3 SE +/- 0.00, N = 12 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 4 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.03, N = 3 16.48 16.22 14.15 13.89 11.03 10.39 10.35 10.10 9.47 9.46 8.52 7.37 6.98 5.99 5.38 4.27 3.48 3.14 2.91 2.77 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 16.39 / Avg: 16.48 / Max: 16.67 Min: 16.13 / Avg: 16.22 / Max: 16.39 Min: 14.08 / Avg: 14.15 / Max: 14.29 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 10.99 / Avg: 11.03 / Max: 11.11 Min: 10.31 / Avg: 10.39 / Max: 10.42 Min: 10.31 / Avg: 10.35 / Max: 10.42 Min: 10.1 / Avg: 10.1 / Max: 10.1 Min: 9.35 / Avg: 9.47 / Max: 9.62 Min: 9.43 / Avg: 9.46 / Max: 9.52 Min: 8.47 / Avg: 8.52 / Max: 8.62 Min: 7.35 / Avg: 7.37 / Max: 7.41 Min: 6.94 / Avg: 6.98 / Max: 6.99 Min: 5.95 / Avg: 5.99 / Max: 6.02 Min: 5.35 / Avg: 5.38 / Max: 5.41 Min: 4.26 / Avg: 4.27 / Max: 4.27 Min: 3.44 / Avg: 3.48 / Max: 3.55 Min: 3.13 / Avg: 3.14 / Max: 3.14 Min: 2.91 / Avg: 2.91 / Max: 2.92 Min: 2.74 / Avg: 2.77 / Max: 2.82
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 60K 120K 180K 240K 300K SE +/- 456.77, N = 3 SE +/- 715.50, N = 3 SE +/- 769.78, N = 3 SE +/- 439.74, N = 3 SE +/- 398.90, N = 3 SE +/- 212.89, N = 3 SE +/- 246.91, N = 3 SE +/- 133.83, N = 3 SE +/- 558.60, N = 3 SE +/- 404.23, N = 3 SE +/- 595.37, N = 3 SE +/- 65.73, N = 3 SE +/- 949.16, N = 3 SE +/- 425.32, N = 3 SE +/- 175.91, N = 3 SE +/- 210.33, N = 3 SE +/- 309.32, N = 3 SE +/- 259.03, N = 3 SE +/- 82.45, N = 3 SE +/- 167.08, N = 3 262783 257597 227772 224914 175716 169995 169977 167374 158903 149916 138561 125699 109514 95496 91147 68876 55476 49291 47057 46061 1. (CXX) g++ options: -pipe -lpthread Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K Min: 262092 / Avg: 262783 / Max: 263646 Min: 256297 / Avg: 257597 / Max: 258765 Min: 226262 / Avg: 227771.67 / Max: 228788 Min: 224366 / Avg: 224914.33 / Max: 225784 Min: 174939 / Avg: 175715.67 / Max: 176262 Min: 169586 / Avg: 169995 / Max: 170302 Min: 169492 / Avg: 169976.67 / Max: 170301 Min: 167106 / Avg: 167373.67 / Max: 167508 Min: 157932 / Avg: 158902.67 / Max: 159867 Min: 149146 / Avg: 149916.33 / Max: 150514 Min: 137395 / Avg: 138560.67 / Max: 139354 Min: 125568 / Avg: 125699 / Max: 125774 Min: 107957 / Avg: 109514 / Max: 111233 Min: 94818 / Avg: 95496.33 / Max: 96280 Min: 90955 / Avg: 91146.67 / Max: 91498 Min: 68587 / Avg: 68875.67 / Max: 69285 Min: 54860 / Avg: 55475.67 / Max: 55836 Min: 48889 / Avg: 49291 / Max: 49775 Min: 46927 / Avg: 47057.33 / Max: 47210 Min: 45763 / Avg: 46060.67 / Max: 46341 1. (CXX) g++ options: -pipe -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7262 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 41.35 41.46 42.75 45.72 46.41 46.44 46.44 46.78 46.81 47.17 47.33 47.39 47.54 47.84 48.17 48.25 48.84 49.58 49.78 49.86 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7262 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 41.29 / Avg: 41.35 / Max: 41.41 Min: 41.44 / Avg: 41.46 / Max: 41.47 Min: 42.71 / Avg: 42.75 / Max: 42.81 Min: 45.69 / Avg: 45.72 / Max: 45.75 Min: 46.29 / Avg: 46.41 / Max: 46.49 Min: 46.4 / Avg: 46.44 / Max: 46.47 Min: 46.43 / Avg: 46.44 / Max: 46.45 Min: 46.71 / Avg: 46.78 / Max: 46.83 Min: 46.69 / Avg: 46.81 / Max: 46.91 Min: 47.1 / Avg: 47.17 / Max: 47.22 Min: 47.3 / Avg: 47.33 / Max: 47.37 Min: 47.37 / Avg: 47.39 / Max: 47.41 Min: 47.52 / Avg: 47.54 / Max: 47.57 Min: 47.75 / Avg: 47.84 / Max: 47.97 Min: 48.02 / Avg: 48.17 / Max: 48.37 Min: 48.19 / Avg: 48.25 / Max: 48.28 Min: 48.77 / Avg: 48.84 / Max: 48.88 Min: 49.56 / Avg: 49.58 / Max: 49.63 Min: 49.72 / Avg: 49.78 / Max: 49.84 Min: 49.74 / Avg: 49.86 / Max: 50.01
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.61, N = 3 SE +/- 1.18, N = 3 SE +/- 0.77, N = 3 SE +/- 0.61, N = 3 SE +/- 0.54, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.35, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.44, N = 3 SE +/- 0.23, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.36, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 3 139.2 126.6 125.0 122.1 116.8 110.5 109.7 109.1 108.9 101.1 92.9 89.7 80.9 71.3 64.5 52.5 43.5 43.4 38.3 36.0 1. (CC) gcc options: -O3 -pthread -lz -llzma Result Confidence
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 138 / Avg: 139.2 / Max: 140 Min: 124.2 / Avg: 126.57 / Max: 127.8 Min: 123.9 / Avg: 125.03 / Max: 126.5 Min: 121 / Avg: 122.13 / Max: 123.1 Min: 115.8 / Avg: 116.83 / Max: 117.6 Min: 110.3 / Avg: 110.5 / Max: 110.9 Min: 109.5 / Avg: 109.73 / Max: 110.1 Min: 108.6 / Avg: 109.13 / Max: 109.8 Min: 108.7 / Avg: 108.93 / Max: 109.2 Min: 100.9 / Avg: 101.07 / Max: 101.2 Min: 92.7 / Avg: 92.87 / Max: 93.2 Min: 88.8 / Avg: 89.67 / Max: 90.2 Min: 80.5 / Avg: 80.9 / Max: 81.3 Min: 71.2 / Avg: 71.33 / Max: 71.4 Min: 64.3 / Avg: 64.53 / Max: 64.8 Min: 51.8 / Avg: 52.5 / Max: 53 Min: 43.4 / Avg: 43.53 / Max: 43.8 Min: 43.2 / Avg: 43.43 / Max: 43.6 Min: 37.7 / Avg: 38.33 / Max: 38.7 Min: 35.8 / Avg: 36 / Max: 36.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 95.65, N = 3 SE +/- 71.03, N = 3 SE +/- 50.20, N = 2 SE +/- 17.18, N = 15 SE +/- 56.08, N = 15 SE +/- 0.00, N = 3 SE +/- 27.80, N = 3 SE +/- 9.17, N = 15 SE +/- 11.78, N = 15 SE +/- 24.25, N = 3 SE +/- 6.40, N = 15 SE +/- 0.00, N = 3 SE +/- 22.72, N = 3 SE +/- 34.25, N = 3 SE +/- 7.84, N = 15 SE +/- 24.67, N = 3 SE +/- 25.93, N = 15 SE +/- 21.26, N = 15 SE +/- 21.10, N = 15 SE +/- 15.38, N = 15 5400.50 5291.74 5170.51 4853.63 4815.11 4754.57 4726.77 4413.35 4394.11 4389.10 4355.46 4294.45 4249.01 3974.56 2859.17 2735.95 2552.56 2350.73 2287.55 2210.52 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 5220.71 / Avg: 5400.5 / Max: 5547 Min: 5220.71 / Avg: 5291.74 / Max: 5433.8 Min: 5120.31 / Avg: 5170.51 / Max: 5220.71 Min: 4754.57 / Avg: 4853.63 / Max: 5023.7 Min: 4512.81 / Avg: 4815.11 / Max: 5220.71 Min: 4754.57 / Avg: 4754.57 / Max: 4754.57 Min: 4671.16 / Avg: 4726.77 / Max: 4754.57 Min: 4364.85 / Avg: 4413.35 / Max: 4437.6 Min: 4294.45 / Avg: 4394.11 / Max: 4437.6 Min: 4364.85 / Avg: 4389.1 / Max: 4437.6 Min: 4294.45 / Avg: 4355.46 / Max: 4364.85 Min: 4294.45 / Avg: 4294.45 / Max: 4294.45 Min: 4226.29 / Avg: 4249.01 / Max: 4294.45 Min: 3915.53 / Avg: 3974.56 / Max: 4034.18 Min: 2802.69 / Avg: 2859.17 / Max: 2894.09 Min: 2689.45 / Avg: 2735.95 / Max: 2773.5 Min: 2315.27 / Avg: 2552.56 / Max: 2689.45 Min: 2130.05 / Avg: 2350.73 / Max: 2511.85 Min: 2182.43 / Avg: 2287.55 / Max: 2377.29 Min: 2080.12 / Avg: 2210.52 / Max: 2256.41 1. (CXX) g++ options: -lpthread
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7252 EPYC 7232P 1500 3000 4500 6000 7500 SE +/- 56.89, N = 3 SE +/- 111.01, N = 3 SE +/- 0.00, N = 3 SE +/- 71.03, N = 3 SE +/- 64.05, N = 15 SE +/- 52.78, N = 3 SE +/- 57.19, N = 15 SE +/- 53.07, N = 15 SE +/- 75.78, N = 15 SE +/- 102.07, N = 15 SE +/- 18.37, N = 3 SE +/- 31.38, N = 3 SE +/- 43.40, N = 3 SE +/- 39.18, N = 3 SE +/- 61.39, N = 15 SE +/- 23.67, N = 3 SE +/- 36.60, N = 15 SE +/- 47.68, N = 15 SE +/- 18.28, N = 15 SE +/- 21.86, N = 15 6770.19 6605.06 6339.43 5362.77 5300.22 4618.38 4503.71 4472.15 4433.06 4255.18 3840.41 3804.17 3631.81 3429.08 2536.42 2336.06 2244.31 2241.57 2035.81 1963.31 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 Min: 6656.4 / Avg: 6770.19 / Max: 6827.08 Min: 6494.05 / Avg: 6605.06 / Max: 6827.08 Min: 6339.43 / Avg: 6339.43 / Max: 6339.43 Min: 5220.71 / Avg: 5362.77 / Max: 5433.8 Min: 4930.67 / Avg: 5300.22 / Max: 5916.8 Min: 4512.81 / Avg: 4618.38 / Max: 4671.16 Min: 3858.78 / Avg: 4503.71 / Max: 4671.16 Min: 3858.78 / Avg: 4472.15 / Max: 4590.62 Min: 3803.66 / Avg: 4433.06 / Max: 4671.16 Min: 3803.66 / Avg: 4255.18 / Max: 4930.67 Min: 3803.66 / Avg: 3840.41 / Max: 3858.78 Min: 3750.08 / Avg: 3804.17 / Max: 3858.78 Min: 3550.08 / Avg: 3631.81 / Max: 3698 Min: 3370.33 / Avg: 3429.08 / Max: 3503.37 Min: 2164.68 / Avg: 2536.42 / Max: 2958.4 Min: 2295.31 / Avg: 2336.06 / Max: 2377.29 Min: 1849 / Avg: 2244.31 / Max: 2335.58 Min: 1901.83 / Avg: 2241.57 / Max: 2398.7 Min: 1929.39 / Avg: 2035.81 / Max: 2130.05 Min: 1740.24 / Avg: 1963.31 / Max: 2032.49 1. (CXX) g++ options: -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7302P EPYC 7232P EPYC 7402P EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7702 EPYC 7282 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7352 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 38.06 39.28 42.06 43.45 45.29 45.35 45.49 45.51 45.67 45.95 45.95 45.96 46.18 46.19 46.25 46.49 46.70 47.09 47.57 48.59 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7302P EPYC 7232P EPYC 7402P EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7702 EPYC 7282 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7352 10 20 30 40 50 Min: 38.05 / Avg: 38.06 / Max: 38.09 Min: 39.22 / Avg: 39.28 / Max: 39.32 Min: 42.01 / Avg: 42.06 / Max: 42.1 Min: 43.39 / Avg: 43.45 / Max: 43.49 Min: 45.27 / Avg: 45.29 / Max: 45.3 Min: 45.34 / Avg: 45.35 / Max: 45.38 Min: 45.18 / Avg: 45.49 / Max: 45.7 Min: 45.49 / Avg: 45.51 / Max: 45.52 Min: 45.66 / Avg: 45.67 / Max: 45.7 Min: 45.93 / Avg: 45.95 / Max: 45.97 Min: 45.9 / Avg: 45.95 / Max: 46 Min: 45.89 / Avg: 45.96 / Max: 46 Min: 46.1 / Avg: 46.18 / Max: 46.22 Min: 46.18 / Avg: 46.19 / Max: 46.2 Min: 46.23 / Avg: 46.25 / Max: 46.28 Min: 46.42 / Avg: 46.49 / Max: 46.53 Min: 46.69 / Avg: 46.7 / Max: 46.71 Min: 47.08 / Avg: 47.09 / Max: 47.11 Min: 47.51 / Avg: 47.57 / Max: 47.62 Min: 48.5 / Avg: 48.59 / Max: 48.67
Gzip Compression This test measures the time needed to archive/compress two copies of the Linux 4.13 kernel source tree using Gzip compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7262 EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.43, N = 3 SE +/- 0.30, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.19, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 38.80 39.10 40.71 44.14 44.84 44.94 44.95 45.01 45.08 45.11 45.45 45.56 45.62 45.93 46.11 46.98 47.30 47.41 47.42 47.97 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7262 EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 10 20 30 40 50 Min: 38.78 / Avg: 38.8 / Max: 38.81 Min: 39.01 / Avg: 39.1 / Max: 39.15 Min: 40.65 / Avg: 40.71 / Max: 40.77 Min: 44.09 / Avg: 44.14 / Max: 44.19 Min: 44.8 / Avg: 44.84 / Max: 44.87 Min: 44.84 / Avg: 44.94 / Max: 45.13 Min: 44.81 / Avg: 44.95 / Max: 45.23 Min: 44.96 / Avg: 45.01 / Max: 45.06 Min: 44.81 / Avg: 45.08 / Max: 45.57 Min: 44.78 / Avg: 45.11 / Max: 45.5 Min: 45.42 / Avg: 45.45 / Max: 45.48 Min: 45.47 / Avg: 45.56 / Max: 45.61 Min: 45.57 / Avg: 45.62 / Max: 45.67 Min: 45.48 / Avg: 45.93 / Max: 46.79 Min: 45.76 / Avg: 46.11 / Max: 46.71 Min: 46.93 / Avg: 46.98 / Max: 47.07 Min: 47.19 / Avg: 47.29 / Max: 47.44 Min: 47.21 / Avg: 47.41 / Max: 47.78 Min: 47.41 / Avg: 47.42 / Max: 47.42 Min: 47.77 / Avg: 47.97 / Max: 48.12
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 7552 EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 9 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 23.43 23.10 22.96 22.85 22.28 22.11 22.07 21.72 21.52 21.38 20.63 20.06 18.80 18.55 15.92 9.96 8.80 8.65 8.39 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 23.32 / Avg: 23.43 / Max: 23.57 Min: 23.03 / Avg: 23.1 / Max: 23.2 Min: 22.73 / Avg: 22.96 / Max: 23.08 Min: 22.78 / Avg: 22.85 / Max: 22.97 Min: 22.25 / Avg: 22.28 / Max: 22.3 Min: 22.05 / Avg: 22.11 / Max: 22.22 Min: 22.01 / Avg: 22.07 / Max: 22.13 Min: 21.69 / Avg: 21.72 / Max: 21.76 Min: 21.49 / Avg: 21.52 / Max: 21.55 Min: 21.34 / Avg: 21.38 / Max: 21.41 Min: 20.56 / Avg: 20.63 / Max: 20.74 Min: 20.04 / Avg: 20.06 / Max: 20.07 Min: 18.74 / Avg: 18.8 / Max: 18.89 Min: 18.51 / Avg: 18.55 / Max: 18.58 Min: 15.8 / Avg: 15.92 / Max: 16.02 Min: 9.95 / Avg: 9.96 / Max: 9.98 Min: 8.46 / Avg: 8.8 / Max: 9.28 Min: 8.5 / Avg: 8.65 / Max: 8.76 Min: 8.24 / Avg: 8.39 / Max: 8.53 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7232P 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 36.89 37.03 39.06 42.37 42.55 42.79 42.86 42.93 42.96 43.09 43.62 43.72 43.72 43.72 43.75 44.85 45.31 45.46 45.77 46.63 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7232P 9 18 27 36 45 Min: 36.78 / Avg: 36.89 / Max: 37.06 Min: 36.86 / Avg: 37.03 / Max: 37.28 Min: 38.76 / Avg: 39.06 / Max: 39.27 Min: 42.17 / Avg: 42.37 / Max: 42.5 Min: 42.38 / Avg: 42.55 / Max: 42.78 Min: 42.72 / Avg: 42.79 / Max: 42.82 Min: 42.72 / Avg: 42.86 / Max: 43.05 Min: 42.82 / Avg: 42.93 / Max: 43.12 Min: 42.75 / Avg: 42.96 / Max: 43.12 Min: 42.93 / Avg: 43.09 / Max: 43.23 Min: 43.4 / Avg: 43.62 / Max: 43.73 Min: 43.51 / Avg: 43.72 / Max: 43.84 Min: 43.54 / Avg: 43.72 / Max: 43.82 Min: 43.59 / Avg: 43.72 / Max: 43.85 Min: 43.71 / Avg: 43.75 / Max: 43.8 Min: 44.68 / Avg: 44.85 / Max: 45.08 Min: 45.17 / Avg: 45.31 / Max: 45.43 Min: 45.42 / Avg: 45.46 / Max: 45.53 Min: 45.52 / Avg: 45.77 / Max: 45.96 Min: 46.45 / Avg: 46.63 / Max: 46.74 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 7F52 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7552 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7282 EPYC 7352 2M 4M 6M 8M 10M SE +/- 13365.44, N = 3 SE +/- 13083.28, N = 3 SE +/- 33413.74, N = 3 SE +/- 16322.76, N = 3 SE +/- 5490.09, N = 3 SE +/- 11189.60, N = 3 SE +/- 4457.96, N = 3 SE +/- 47967.21, N = 3 SE +/- 16641.25, N = 3 SE +/- 43739.49, N = 3 SE +/- 27245.95, N = 3 SE +/- 60813.81, N = 3 SE +/- 58932.94, N = 9 SE +/- 64286.26, N = 3 SE +/- 78634.61, N = 5 SE +/- 23411.23, N = 3 SE +/- 83401.53, N = 4 SE +/- 54822.83, N = 10 SE +/- 91804.03, N = 3 SE +/- 66115.31, N = 6 7812765 7432010 7299102 6724444 6617325 6548322 6478221 6451888 6446053 6340115 6322595 6311538 6169606 6069924 5977043 5955306 5911066 5872734 5628949 5439046 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7552 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7282 EPYC 7352 1.4M 2.8M 4.2M 5.6M 7M Min: 7786435 / Avg: 7812765.33 / Max: 7829923 Min: 7406367 / Avg: 7432010.33 / Max: 7449341 Min: 7253372 / Avg: 7299102 / Max: 7364169 Min: 6706889 / Avg: 6724444.33 / Max: 6757058 Min: 6607733 / Avg: 6617325.33 / Max: 6626749 Min: 6526815 / Avg: 6548321.67 / Max: 6564434 Min: 6471681 / Avg: 6478221 / Max: 6486739 Min: 6356940 / Avg: 6451888.33 / Max: 6511244 Min: 6419058 / Avg: 6446052.67 / Max: 6476410 Min: 6255345 / Avg: 6340114.67 / Max: 6401208 Min: 6268240 / Avg: 6322595.33 / Max: 6353112 Min: 6230341 / Avg: 6311538 / Max: 6430560 Min: 5765543 / Avg: 6169606 / Max: 6421933 Min: 5950694 / Avg: 6069924.33 / Max: 6171208 Min: 5669153 / Avg: 5977043.4 / Max: 6096958 Min: 5911775 / Avg: 5955306.33 / Max: 5992006 Min: 5745490 / Avg: 5911066.25 / Max: 6083542 Min: 5665156 / Avg: 5872733.9 / Max: 6263416 Min: 5474789 / Avg: 5628948.67 / Max: 5792400 Min: 5307839 / Avg: 5439045.5 / Max: 5725219 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
PostMark This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7262 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7252 EPYC 7282 EPYC 7232P EPYC 7352 EPYC 7272 1500 3000 4500 6000 7500 SE +/- 62.67, N = 3 SE +/- 56.00, N = 3 SE +/- 51.00, N = 3 SE +/- 51.00, N = 3 SE +/- 51.00, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 81.99, N = 3 SE +/- 46.33, N = 3 SE +/- 46.33, N = 3 6881 6756 6522 6250 6199 6199 6148 6097 6097 6097 6097 6049 6049 6049 5954 5952 5906 5859 5813 5813 1. (CC) gcc options: -O3 Result Confidence
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7452 EPYC 7262 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7252 EPYC 7282 EPYC 7232P EPYC 7352 EPYC 7272 1200 2400 3600 4800 6000 Min: 6756 / Avg: 6881.33 / Max: 6944 Min: 6410 / Avg: 6522 / Max: 6578 Min: 6097 / Avg: 6199 / Max: 6250 Min: 6097 / Avg: 6199 / Max: 6250 Min: 6097 / Avg: 6148 / Max: 6250 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5813 / Avg: 5954 / Max: 6097 Min: 5813 / Avg: 5905.67 / Max: 5952 Min: 5813 / Avg: 5859.33 / Max: 5952 1. (CC) gcc options: -O3
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 16 EPYC 7F52 EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7502P EPYC 7642 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7272 EPYC 7662 EPYC 7352 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 1400 2800 4200 5600 7000 SE +/- 13.44, N = 3 SE +/- 22.84, N = 3 SE +/- 12.17, N = 3 SE +/- 11.74, N = 3 SE +/- 10.82, N = 3 SE +/- 10.70, N = 3 SE +/- 10.70, N = 3 SE +/- 10.46, N = 3 SE +/- 10.23, N = 3 SE +/- 9.90, N = 3 SE +/- 17.05, N = 3 SE +/- 9.79, N = 3 SE +/- 16.34, N = 3 SE +/- 16.34, N = 3 SE +/- 23.78, N = 3 SE +/- 9.00, N = 3 SE +/- 7.11, N = 3 SE +/- 13.17, N = 3 SE +/- 10.37, N = 3 SE +/- 8.67, N = 3 6343 6289 6048 5941 5703 5671 5660 5608 5535 5445 5435 5425 5319 5319 5200 5199 4615 4438 4237 3876 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 16 EPYC 7F52 EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7502P EPYC 7642 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7272 EPYC 7662 EPYC 7352 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 1100 2200 3300 4400 5500 Min: 6329.11 / Avg: 6342.55 / Max: 6369.43 Min: 6250 / Avg: 6289.47 / Max: 6329.11 Min: 6024.1 / Avg: 6048.44 / Max: 6060.61 Min: 5917.16 / Avg: 5940.64 / Max: 5952.38 Min: 5681.82 / Avg: 5703.46 / Max: 5714.29 Min: 5649.72 / Avg: 5671.12 / Max: 5681.82 Min: 5649.72 / Avg: 5660.42 / Max: 5681.82 Min: 5586.59 / Avg: 5607.52 / Max: 5617.98 Min: 5524.86 / Avg: 5535.09 / Max: 5555.56 Min: 5434.78 / Avg: 5444.68 / Max: 5464.48 Min: 5405.41 / Avg: 5434.89 / Max: 5464.48 Min: 5405.41 / Avg: 5424.99 / Max: 5434.78 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5154.64 / Avg: 5199.52 / Max: 5235.6 Min: 5181.35 / Avg: 5199.34 / Max: 5208.33 Min: 4608.29 / Avg: 4615.41 / Max: 4629.63 Min: 4424.78 / Avg: 4437.95 / Max: 4464.29 Min: 4219.41 / Avg: 4237.34 / Max: 4255.32 Min: 3861 / Avg: 3876.01 / Max: 3891.05 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7282 EPYC 7502P EPYC 7262 EPYC 7532 EPYC 7232P EPYC 7452 EPYC 7272 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7252 EPYC 7702 EPYC 7352 5 10 15 20 25 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 19.50 18.99 18.05 15.93 15.80 15.69 15.44 15.43 15.30 15.29 15.17 15.11 15.04 15.04 14.83 14.82 14.78 14.73 14.66 14.53 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7282 EPYC 7502P EPYC 7262 EPYC 7532 EPYC 7232P EPYC 7452 EPYC 7272 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7252 EPYC 7702 EPYC 7352 5 10 15 20 25 Min: 19.41 / Avg: 19.5 / Max: 19.68 Min: 18.88 / Avg: 18.99 / Max: 19.07 Min: 17.97 / Avg: 18.05 / Max: 18.15 Min: 15.78 / Avg: 15.93 / Max: 16.12 Min: 15.68 / Avg: 15.8 / Max: 15.97 Min: 15.55 / Avg: 15.69 / Max: 15.98 Min: 15.36 / Avg: 15.44 / Max: 15.56 Min: 15.28 / Avg: 15.43 / Max: 15.57 Min: 15.19 / Avg: 15.3 / Max: 15.39 Min: 15.22 / Avg: 15.29 / Max: 15.38 Min: 15.06 / Avg: 15.17 / Max: 15.37 Min: 15.01 / Avg: 15.11 / Max: 15.22 Min: 15 / Avg: 15.04 / Max: 15.08 Min: 15 / Avg: 15.04 / Max: 15.1 Min: 14.8 / Avg: 14.83 / Max: 14.86 Min: 14.79 / Avg: 14.82 / Max: 14.85 Min: 14.72 / Avg: 14.78 / Max: 14.86 Min: 14.71 / Avg: 14.73 / Max: 14.76 Min: 14.63 / Avg: 14.66 / Max: 14.72 Min: 14.47 / Avg: 14.53 / Max: 14.6 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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7702 EPYC 7F52 EPYC 7552 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7272 EPYC 7252 EPYC 7F32 EPYC 7282 EPYC 7232P EPYC 7262 3 6 9 12 15 SE +/- 0.00682, N = 3 SE +/- 0.01653, N = 3 SE +/- 0.00666, N = 3 SE +/- 0.01793, N = 3 SE +/- 0.02328, N = 3 SE +/- 0.00248, N = 3 SE +/- 0.02747, N = 3 SE +/- 0.03542, N = 15 SE +/- 0.01911, N = 3 SE +/- 0.02197, N = 3 SE +/- 0.02820, N = 15 SE +/- 0.01628, N = 3 SE +/- 0.02418, N = 15 SE +/- 0.05039, N = 15 SE +/- 0.05931, N = 3 SE +/- 0.02644, N = 3 SE +/- 0.05477, N = 15 SE +/- 0.10035, N = 15 SE +/- 0.13039, N = 15 SE +/- 0.50723, N = 15 1.48624 1.63132 1.64585 1.75183 1.80818 1.99596 2.02167 2.18360 2.22779 2.23648 2.40689 2.62891 2.82041 3.88529 4.48168 5.17763 5.44456 6.45984 6.82638 9.46298 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7702 EPYC 7F52 EPYC 7552 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7272 EPYC 7252 EPYC 7F32 EPYC 7282 EPYC 7232P EPYC 7262 3 6 9 12 15 Min: 1.47 / Avg: 1.49 / Max: 1.49 Min: 1.6 / Avg: 1.63 / Max: 1.66 Min: 1.64 / Avg: 1.65 / Max: 1.66 Min: 1.72 / Avg: 1.75 / Max: 1.77 Min: 1.78 / Avg: 1.81 / Max: 1.85 Min: 1.99 / Avg: 2 / Max: 2 Min: 1.99 / Avg: 2.02 / Max: 2.08 Min: 2.03 / Avg: 2.18 / Max: 2.59 Min: 2.2 / Avg: 2.23 / Max: 2.26 Min: 2.21 / Avg: 2.24 / Max: 2.28 Min: 2.22 / Avg: 2.41 / Max: 2.56 Min: 2.6 / Avg: 2.63 / Max: 2.65 Min: 2.58 / Avg: 2.82 / Max: 2.96 Min: 3.5 / Avg: 3.89 / Max: 4.21 Min: 4.42 / Avg: 4.48 / Max: 4.6 Min: 5.13 / Avg: 5.18 / Max: 5.22 Min: 4.89 / Avg: 5.44 / Max: 5.67 Min: 5.52 / Avg: 6.46 / Max: 6.84 Min: 6.08 / Avg: 6.83 / Max: 7.88 Min: 7.06 / Avg: 9.46 / Max: 14.82 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
m-queens A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 14.18 14.31 16.79 16.95 21.71 23.21 23.22 23.79 25.00 26.08 28.73 32.77 36.27 42.81 44.20 59.45 73.26 84.25 88.09 89.47 1. (CXX) g++ options: -fopenmp -O2 -march=native Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 Min: 14.11 / Avg: 14.18 / Max: 14.21 Min: 14.26 / Avg: 14.31 / Max: 14.34 Min: 16.76 / Avg: 16.79 / Max: 16.83 Min: 16.89 / Avg: 16.94 / Max: 17.02 Min: 21.67 / Avg: 21.71 / Max: 21.75 Min: 23.06 / Avg: 23.21 / Max: 23.37 Min: 23.11 / Avg: 23.22 / Max: 23.28 Min: 23.7 / Avg: 23.79 / Max: 23.88 Min: 24.97 / Avg: 25 / Max: 25.03 Min: 26.06 / Avg: 26.08 / Max: 26.11 Min: 28.62 / Avg: 28.73 / Max: 28.91 Min: 32.69 / Avg: 32.77 / Max: 32.84 Min: 36.26 / Avg: 36.27 / Max: 36.28 Min: 42.79 / Avg: 42.81 / Max: 42.83 Min: 44.14 / Avg: 44.2 / Max: 44.24 Min: 59.41 / Avg: 59.45 / Max: 59.46 Min: 73.23 / Avg: 73.26 / Max: 73.27 Min: 84.23 / Avg: 84.25 / Max: 84.26 Min: 88.03 / Avg: 88.09 / Max: 88.15 Min: 89.42 / Avg: 89.47 / Max: 89.5 1. (CXX) g++ options: -fopenmp -O2 -march=native
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 7F52 EPYC 7F72 EPYC 7702 EPYC 7F32 EPYC 7502P EPYC 7662 EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7282 EPYC 7262 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7252 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 3 SE +/- 0.22, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.23, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.35, N = 3 SE +/- 0.26, N = 3 SE +/- 0.28, N = 3 36.57 35.17 32.87 32.86 32.80 32.70 32.68 32.56 32.31 32.18 32.12 31.63 31.34 31.25 31.16 30.29 30.09 29.20 29.00 27.69 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm Result Confidence
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7F52 EPYC 7F72 EPYC 7702 EPYC 7F32 EPYC 7502P EPYC 7662 EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7282 EPYC 7262 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7252 8 16 24 32 40 Min: 36.4 / Avg: 36.57 / Max: 36.67 Min: 35.13 / Avg: 35.17 / Max: 35.25 Min: 32.7 / Avg: 32.87 / Max: 32.97 Min: 32.38 / Avg: 32.86 / Max: 33.16 Min: 32.75 / Avg: 32.8 / Max: 32.88 Min: 32.38 / Avg: 32.7 / Max: 32.95 Min: 32.06 / Avg: 32.68 / Max: 33.09 Min: 32.13 / Avg: 32.56 / Max: 32.84 Min: 32.25 / Avg: 32.31 / Max: 32.38 Min: 32.16 / Avg: 32.18 / Max: 32.19 Min: 31.84 / Avg: 32.12 / Max: 32.39 Min: 31.19 / Avg: 31.63 / Max: 31.98 Min: 30.9 / Avg: 31.34 / Max: 31.56 Min: 31.21 / Avg: 31.25 / Max: 31.31 Min: 31.08 / Avg: 31.16 / Max: 31.2 Min: 30.11 / Avg: 30.29 / Max: 30.49 Min: 29.97 / Avg: 30.09 / Max: 30.17 Min: 28.59 / Avg: 29.2 / Max: 29.79 Min: 28.53 / Avg: 29 / Max: 29.41 Min: 27.15 / Avg: 27.69 / Max: 28.04 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 33.31 33.46 35.14 38.22 38.51 38.71 38.75 38.75 38.79 38.89 39.28 39.32 39.33 39.40 39.45 40.54 40.57 40.77 40.89 41.26 1. (CC) gcc options: -lm -O3 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 9 18 27 36 45 Min: 33.26 / Avg: 33.31 / Max: 33.35 Min: 33.44 / Avg: 33.46 / Max: 33.5 Min: 35.08 / Avg: 35.14 / Max: 35.26 Min: 38.17 / Avg: 38.22 / Max: 38.31 Min: 38.5 / Avg: 38.51 / Max: 38.52 Min: 38.7 / Avg: 38.71 / Max: 38.72 Min: 38.71 / Avg: 38.75 / Max: 38.77 Min: 38.73 / Avg: 38.75 / Max: 38.75 Min: 38.75 / Avg: 38.79 / Max: 38.86 Min: 38.87 / Avg: 38.89 / Max: 38.91 Min: 39.27 / Avg: 39.28 / Max: 39.31 Min: 39.3 / Avg: 39.32 / Max: 39.32 Min: 39.32 / Avg: 39.33 / Max: 39.34 Min: 39.32 / Avg: 39.4 / Max: 39.48 Min: 39.43 / Avg: 39.45 / Max: 39.47 Min: 40.53 / Avg: 40.54 / Max: 40.55 Min: 40.54 / Avg: 40.57 / Max: 40.6 Min: 40.76 / Avg: 40.77 / Max: 40.79 Min: 40.84 / Avg: 40.89 / Max: 40.96 Min: 41.23 / Avg: 41.26 / Max: 41.28 1. (CC) gcc options: -lm -O3
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7502P EPYC 7F72 EPYC 7502 EPYC 7552 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.02667, N = 4 SE +/- 0.02366, N = 15 SE +/- 0.02420, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.00245, N = 3 SE +/- 0.00959, N = 3 SE +/- 0.02668, N = 4 SE +/- 0.00870, N = 3 SE +/- 0.02569, N = 3 SE +/- 0.00914, N = 3 SE +/- 0.04434, N = 15 SE +/- 0.01714, N = 3 SE +/- 0.04327, N = 3 SE +/- 0.06679, N = 15 SE +/- 0.02067, N = 3 SE +/- 0.06965, N = 3 SE +/- 0.22388, N = 15 SE +/- 0.01003, N = 3 SE +/- 0.03858, N = 3 SE +/- 0.05423, N = 3 1.89386 1.92590 1.95935 1.96299 1.99454 2.01176 2.02785 2.10673 2.25891 2.43553 2.47190 2.55843 2.97425 2.99977 3.14991 4.77168 4.81372 5.13825 5.87119 7.79600 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7502P EPYC 7F72 EPYC 7502 EPYC 7552 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 1.85 / Avg: 1.89 / Max: 1.96 Min: 1.79 / Avg: 1.93 / Max: 2.13 Min: 1.91 / Avg: 1.96 / Max: 1.99 Min: 1.95 / Avg: 1.96 / Max: 1.99 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 1.99 / Avg: 2.01 / Max: 2.03 Min: 1.97 / Avg: 2.03 / Max: 2.09 Min: 2.09 / Avg: 2.11 / Max: 2.12 Min: 2.22 / Avg: 2.26 / Max: 2.31 Min: 2.42 / Avg: 2.44 / Max: 2.45 Min: 2.23 / Avg: 2.47 / Max: 2.82 Min: 2.53 / Avg: 2.56 / Max: 2.58 Min: 2.89 / Avg: 2.97 / Max: 3.04 Min: 2.71 / Avg: 3 / Max: 3.68 Min: 3.11 / Avg: 3.15 / Max: 3.18 Min: 4.67 / Avg: 4.77 / Max: 4.9 Min: 4.51 / Avg: 4.81 / Max: 7.94 Min: 5.12 / Avg: 5.14 / Max: 5.16 Min: 5.82 / Avg: 5.87 / Max: 5.95 Min: 7.71 / Avg: 7.8 / Max: 7.9 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
ArrayFire ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7F52 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 200 400 600 800 1000 SE +/- 13.69, N = 3 SE +/- 7.11, N = 3 SE +/- 14.16, N = 15 SE +/- 17.83, N = 12 SE +/- 4.31, N = 3 SE +/- 4.46, N = 3 SE +/- 10.65, N = 15 SE +/- 7.08, N = 3 SE +/- 11.73, N = 15 SE +/- 1.85, N = 3 SE +/- 15.40, N = 14 SE +/- 0.99, N = 3 SE +/- 0.89, N = 3 SE +/- 4.51, N = 3 SE +/- 2.71, N = 3 SE +/- 3.69, N = 3 SE +/- 3.52, N = 3 SE +/- 0.39, N = 3 SE +/- 2.93, N = 3 SE +/- 10.58, N = 15 796.30 772.58 694.25 653.71 606.34 599.53 576.21 509.24 487.74 456.91 431.69 396.26 367.57 362.45 346.25 271.74 220.92 206.13 175.49 141.22 1. (CXX) g++ options: -rdynamic Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7F52 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 140 280 420 560 700 Min: 773.92 / Avg: 796.3 / Max: 821.15 Min: 758.61 / Avg: 772.58 / Max: 781.84 Min: 594.64 / Avg: 694.25 / Max: 820.64 Min: 463.09 / Avg: 653.71 / Max: 684.82 Min: 598.79 / Avg: 606.34 / Max: 613.71 Min: 594.65 / Avg: 599.53 / Max: 608.44 Min: 473.19 / Avg: 576.2 / Max: 636.28 Min: 496.76 / Avg: 509.24 / Max: 521.25 Min: 409.82 / Avg: 487.74 / Max: 551.45 Min: 453.26 / Avg: 456.91 / Max: 459.2 Min: 397.82 / Avg: 431.69 / Max: 624.49 Min: 394.83 / Avg: 396.26 / Max: 398.16 Min: 366.05 / Avg: 367.57 / Max: 369.13 Min: 354.07 / Avg: 362.45 / Max: 369.54 Min: 343.18 / Avg: 346.25 / Max: 351.65 Min: 265.5 / Avg: 271.74 / Max: 278.29 Min: 216.26 / Avg: 220.92 / Max: 227.82 Min: 205.42 / Avg: 206.13 / Max: 206.74 Min: 172.22 / Avg: 175.49 / Max: 181.35 Min: 103.12 / Avg: 141.22 / Max: 185.75 1. (CXX) g++ options: -rdynamic
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 18.90 19.16 20.91 21.01 24.19 25.52 25.52 26.23 27.05 27.34 29.46 33.35 34.08 40.27 41.84 52.85 61.75 70.90 74.10 75.37 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 14 28 42 56 70 Min: 18.89 / Avg: 18.9 / Max: 18.91 Min: 19.13 / Avg: 19.16 / Max: 19.18 Min: 20.88 / Avg: 20.91 / Max: 20.95 Min: 20.99 / Avg: 21.01 / Max: 21.02 Min: 24.15 / Avg: 24.18 / Max: 24.21 Min: 25.5 / Avg: 25.51 / Max: 25.53 Min: 25.5 / Avg: 25.52 / Max: 25.53 Min: 26.21 / Avg: 26.23 / Max: 26.24 Min: 27.03 / Avg: 27.05 / Max: 27.08 Min: 27.3 / Avg: 27.34 / Max: 27.37 Min: 29.42 / Avg: 29.46 / Max: 29.5 Min: 33.33 / Avg: 33.35 / Max: 33.36 Min: 34.06 / Avg: 34.08 / Max: 34.11 Min: 40.24 / Avg: 40.27 / Max: 40.32 Min: 41.79 / Avg: 41.84 / Max: 41.9 Min: 52.82 / Avg: 52.84 / Max: 52.88 Min: 61.72 / Avg: 61.75 / Max: 61.78 Min: 70.86 / Avg: 70.9 / Max: 70.95 Min: 74.06 / Avg: 74.1 / Max: 74.14 Min: 75.26 / Avg: 75.37 / Max: 75.42 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7662 EPYC 7252 EPYC 7702 100 200 300 400 500 SE +/- 0.17, N = 3 SE +/- 0.42, N = 3 SE +/- 1.68, N = 3 SE +/- 1.16, N = 3 SE +/- 1.62, N = 3 SE +/- 2.12, N = 3 SE +/- 0.92, N = 3 SE +/- 0.12, N = 3 SE +/- 3.37, N = 3 SE +/- 0.34, N = 3 SE +/- 1.50, N = 3 SE +/- 1.67, N = 3 SE +/- 0.55, N = 3 SE +/- 2.39, N = 3 SE +/- 3.22, N = 3 SE +/- 0.85, N = 3 SE +/- 4.52, N = 3 SE +/- 2.80, N = 3 SE +/- 1.53, N = 3 SE +/- 1.45, N = 3 227.11 230.35 251.43 252.12 260.18 260.47 265.01 271.54 277.10 289.88 305.55 309.36 330.09 334.58 354.73 355.52 373.07 381.92 392.82 442.85 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7662 EPYC 7252 EPYC 7702 80 160 240 320 400 Min: 226.77 / Avg: 227.11 / Max: 227.31 Min: 229.56 / Avg: 230.35 / Max: 230.99 Min: 248.87 / Avg: 251.43 / Max: 254.59 Min: 250.69 / Avg: 252.12 / Max: 254.42 Min: 258.39 / Avg: 260.18 / Max: 263.42 Min: 256.85 / Avg: 260.47 / Max: 264.18 Min: 264.04 / Avg: 265.01 / Max: 266.85 Min: 271.34 / Avg: 271.54 / Max: 271.75 Min: 270.87 / Avg: 277.1 / Max: 282.42 Min: 289.39 / Avg: 289.88 / Max: 290.54 Min: 302.75 / Avg: 305.55 / Max: 307.86 Min: 306.05 / Avg: 309.36 / Max: 311.45 Min: 329.07 / Avg: 330.09 / Max: 330.98 Min: 330.36 / Avg: 334.58 / Max: 338.64 Min: 348.31 / Avg: 354.72 / Max: 358.52 Min: 353.9 / Avg: 355.52 / Max: 356.77 Min: 364.04 / Avg: 373.07 / Max: 377.83 Min: 376.52 / Avg: 381.92 / Max: 385.92 Min: 389.93 / Avg: 392.82 / Max: 395.14 Min: 440.47 / Avg: 442.85 / Max: 445.47 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7542 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7352 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 30.76 31.86 34.16 35.03 36.53 36.67 36.72 36.73 36.74 36.79 37.04 37.23 37.25 37.44 37.56 37.67 37.95 38.28 38.65 39.20 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7542 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7352 8 16 24 32 40 Min: 30.72 / Avg: 30.76 / Max: 30.79 Min: 31.81 / Avg: 31.86 / Max: 31.94 Min: 34.11 / Avg: 34.16 / Max: 34.24 Min: 35 / Avg: 35.03 / Max: 35.08 Min: 36.5 / Avg: 36.53 / Max: 36.56 Min: 36.61 / Avg: 36.67 / Max: 36.71 Min: 36.67 / Avg: 36.72 / Max: 36.76 Min: 36.7 / Avg: 36.73 / Max: 36.75 Min: 36.69 / Avg: 36.74 / Max: 36.84 Min: 36.73 / Avg: 36.79 / Max: 36.85 Min: 37.01 / Avg: 37.04 / Max: 37.1 Min: 37.22 / Avg: 37.23 / Max: 37.25 Min: 37.21 / Avg: 37.25 / Max: 37.31 Min: 37.39 / Avg: 37.44 / Max: 37.51 Min: 37.54 / Avg: 37.56 / Max: 37.59 Min: 37.64 / Avg: 37.67 / Max: 37.7 Min: 37.93 / Avg: 37.94 / Max: 37.96 Min: 38.26 / Avg: 38.28 / Max: 38.32 Min: 38.55 / Avg: 38.65 / Max: 38.73 Min: 39.17 / Avg: 39.2 / Max: 39.22
Sunflow Rendering System This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 0.3528 0.7056 1.0584 1.4112 1.764 SE +/- 0.007, N = 15 SE +/- 0.007, N = 15 SE +/- 0.008, N = 15 SE +/- 0.009, N = 4 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 15 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 15 SE +/- 0.009, N = 15 SE +/- 0.014, N = 15 SE +/- 0.011, N = 6 SE +/- 0.013, N = 15 SE +/- 0.021, N = 15 SE +/- 0.021, N = 15 SE +/- 0.028, N = 15 SE +/- 0.029, N = 15 SE +/- 0.032, N = 12 0.644 0.653 0.655 0.682 0.686 0.688 0.688 0.699 0.701 0.721 0.753 0.801 0.862 0.920 0.932 1.123 1.421 1.560 1.567 1.568 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 2 4 6 8 10 Min: 0.6 / Avg: 0.64 / Max: 0.69 Min: 0.6 / Avg: 0.65 / Max: 0.71 Min: 0.61 / Avg: 0.65 / Max: 0.71 Min: 0.66 / Avg: 0.68 / Max: 0.7 Min: 0.67 / Avg: 0.69 / Max: 0.69 Min: 0.67 / Avg: 0.69 / Max: 0.7 Min: 0.68 / Avg: 0.69 / Max: 0.69 Min: 0.64 / Avg: 0.7 / Max: 0.77 Min: 0.69 / Avg: 0.7 / Max: 0.72 Min: 0.7 / Avg: 0.72 / Max: 0.73 Min: 0.7 / Avg: 0.75 / Max: 0.81 Min: 0.75 / Avg: 0.8 / Max: 0.87 Min: 0.74 / Avg: 0.86 / Max: 0.93 Min: 0.88 / Avg: 0.92 / Max: 0.95 Min: 0.81 / Avg: 0.93 / Max: 1.03 Min: 1.04 / Avg: 1.12 / Max: 1.3 Min: 1.29 / Avg: 1.42 / Max: 1.6 Min: 1.4 / Avg: 1.56 / Max: 1.76 Min: 1.41 / Avg: 1.57 / Max: 1.82 Min: 1.43 / Avg: 1.57 / Max: 1.86
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 13.06 13.14 15.44 15.63 19.93 21.31 21.36 21.86 23.05 24.00 26.19 29.96 33.24 39.16 40.67 54.25 66.97 76.84 80.54 81.67 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 16 32 48 64 80 Min: 12.99 / Avg: 13.06 / Max: 13.1 Min: 13.11 / Avg: 13.14 / Max: 13.19 Min: 15.35 / Avg: 15.44 / Max: 15.48 Min: 15.59 / Avg: 15.62 / Max: 15.65 Min: 19.88 / Avg: 19.93 / Max: 19.98 Min: 21.3 / Avg: 21.31 / Max: 21.33 Min: 21.28 / Avg: 21.36 / Max: 21.47 Min: 21.84 / Avg: 21.86 / Max: 21.88 Min: 23 / Avg: 23.05 / Max: 23.09 Min: 23.84 / Avg: 24 / Max: 24.1 Min: 26.14 / Avg: 26.19 / Max: 26.28 Min: 29.93 / Avg: 29.95 / Max: 30 Min: 33.19 / Avg: 33.24 / Max: 33.27 Min: 39.14 / Avg: 39.16 / Max: 39.19 Min: 40.63 / Avg: 40.67 / Max: 40.74 Min: 54.23 / Avg: 54.25 / Max: 54.27 Min: 66.85 / Avg: 66.97 / Max: 67.05 Min: 76.81 / Avg: 76.84 / Max: 76.87 Min: 80.51 / Avg: 80.54 / Max: 80.6 Min: 81.58 / Avg: 81.67 / Max: 81.81 1. (CC) gcc options: -lm -lpthread -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: 50 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7282 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7272 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 0.6701 1.3402 2.0103 2.6804 3.3505 SE +/- 0.008, N = 3 SE +/- 0.019, N = 4 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 1.347 1.499 1.673 1.810 1.812 1.861 1.863 1.882 1.903 1.957 1.979 2.025 2.053 2.073 2.114 2.144 2.635 2.684 2.718 2.978 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: 50 - Mode: Read Write - Average Latency EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7282 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7272 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 2 4 6 8 10 Min: 1.33 / Avg: 1.35 / Max: 1.36 Min: 1.45 / Avg: 1.5 / Max: 1.54 Min: 1.66 / Avg: 1.67 / Max: 1.69 Min: 1.79 / Avg: 1.81 / Max: 1.82 Min: 1.81 / Avg: 1.81 / Max: 1.82 Min: 1.85 / Avg: 1.86 / Max: 1.87 Min: 1.86 / Avg: 1.86 / Max: 1.87 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.98 / Avg: 1.98 / Max: 1.98 Min: 2.02 / Avg: 2.03 / Max: 2.03 Min: 2.05 / Avg: 2.05 / Max: 2.06 Min: 2.07 / Avg: 2.07 / Max: 2.08 Min: 2.11 / Avg: 2.11 / Max: 2.12 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 2.63 / Avg: 2.63 / Max: 2.64 Min: 2.67 / Avg: 2.68 / Max: 2.7 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.96 / Avg: 2.98 / Max: 2.99 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: 50 - Mode: Read Write EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7282 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7272 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 8K 16K 24K 32K 40K SE +/- 235.98, N = 3 SE +/- 433.11, N = 4 SE +/- 112.34, N = 3 SE +/- 128.39, N = 3 SE +/- 52.82, N = 3 SE +/- 83.99, N = 3 SE +/- 61.39, N = 3 SE +/- 27.39, N = 3 SE +/- 8.44, N = 3 SE +/- 47.34, N = 3 SE +/- 26.07, N = 3 SE +/- 9.07, N = 3 SE +/- 61.93, N = 3 SE +/- 50.55, N = 3 SE +/- 55.54, N = 3 SE +/- 39.29, N = 3 SE +/- 9.83, N = 3 SE +/- 63.42, N = 3 SE +/- 32.81, N = 3 SE +/- 43.86, N = 3 37125 33395 29894 27640 27606 26881 26847 26575 26287 25560 25274 24700 24361 24128 23659 23328 18983 18634 18402 16795 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: 50 - Mode: Read Write EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7282 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7272 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 6K 12K 18K 24K 30K Min: 36685.88 / Avg: 37125 / Max: 37494.37 Min: 32432.72 / Avg: 33395.1 / Max: 34538.91 Min: 29689.46 / Avg: 29894.23 / Max: 30076.7 Min: 27475.35 / Avg: 27639.96 / Max: 27892.95 Min: 27501.47 / Avg: 27606.4 / Max: 27669.46 Min: 26778.77 / Avg: 26881.22 / Max: 27047.74 Min: 26724.57 / Avg: 26847.3 / Max: 26911.7 Min: 26520.78 / Avg: 26575.42 / Max: 26606.09 Min: 26271.36 / Avg: 26287.44 / Max: 26299.92 Min: 25466.21 / Avg: 25560.04 / Max: 25617.95 Min: 25243.86 / Avg: 25274.39 / Max: 25326.27 Min: 24686.51 / Avg: 24700.11 / Max: 24717.31 Min: 24247.97 / Avg: 24360.89 / Max: 24461.41 Min: 24041.38 / Avg: 24128.48 / Max: 24216.49 Min: 23550.91 / Avg: 23658.54 / Max: 23736.16 Min: 23279.56 / Avg: 23328.38 / Max: 23406.12 Min: 18972.76 / Avg: 18983.41 / Max: 19003.05 Min: 18557.87 / Avg: 18634.35 / Max: 18760.23 Min: 18359.16 / Avg: 18402.47 / Max: 18466.82 Min: 16721.05 / Avg: 16795.5 / Max: 16872.91 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 30.81 30.84 32.58 35.30 35.36 35.73 35.87 35.88 36.04 36.08 36.21 36.35 36.55 36.72 36.76 37.25 37.26 37.34 37.57 38.10 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 8 16 24 32 40 Min: 30.77 / Avg: 30.81 / Max: 30.87 Min: 30.81 / Avg: 30.84 / Max: 30.86 Min: 32.58 / Avg: 32.58 / Max: 32.59 Min: 35.24 / Avg: 35.3 / Max: 35.4 Min: 35.24 / Avg: 35.36 / Max: 35.49 Min: 35.7 / Avg: 35.73 / Max: 35.77 Min: 35.87 / Avg: 35.87 / Max: 35.88 Min: 35.84 / Avg: 35.88 / Max: 35.91 Min: 35.94 / Avg: 36.04 / Max: 36.21 Min: 36.04 / Avg: 36.08 / Max: 36.11 Min: 36.18 / Avg: 36.21 / Max: 36.23 Min: 36.31 / Avg: 36.35 / Max: 36.39 Min: 36.5 / Avg: 36.55 / Max: 36.58 Min: 36.67 / Avg: 36.72 / Max: 36.78 Min: 36.7 / Avg: 36.76 / Max: 36.82 Min: 37.19 / Avg: 37.25 / Max: 37.29 Min: 37.17 / Avg: 37.26 / Max: 37.37 Min: 37.23 / Avg: 37.34 / Max: 37.4 Min: 37.54 / Avg: 37.57 / Max: 37.63 Min: 38.01 / Avg: 38.1 / Max: 38.19
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 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 4 8 12 16 20 SE +/- 0.032, N = 3 SE +/- 0.021, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.020, N = 3 SE +/- 0.069, N = 3 SE +/- 0.003, N = 3 SE +/- 0.011, N = 3 SE +/- 0.012, N = 3 SE +/- 0.058, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.028, N = 3 SE +/- 0.055, N = 3 SE +/- 0.052, N = 3 SE +/- 0.008, N = 3 SE +/- 0.034, N = 3 SE +/- 0.022, N = 3 SE +/- 0.066, N = 3 SE +/- 0.070, N = 3 6.497 6.767 6.772 6.851 6.865 7.109 7.187 7.209 7.430 7.488 7.643 7.695 8.484 10.131 10.444 10.892 14.125 15.173 15.614 15.827 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 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 4 8 12 16 20 Min: 6.46 / Avg: 6.5 / Max: 6.56 Min: 6.73 / Avg: 6.77 / Max: 6.8 Min: 6.76 / Avg: 6.77 / Max: 6.79 Min: 6.82 / Avg: 6.85 / Max: 6.87 Min: 6.83 / Avg: 6.86 / Max: 6.9 Min: 7.02 / Avg: 7.11 / Max: 7.25 Min: 7.18 / Avg: 7.19 / Max: 7.19 Min: 7.19 / Avg: 7.21 / Max: 7.23 Min: 7.41 / Avg: 7.43 / Max: 7.45 Min: 7.42 / Avg: 7.49 / Max: 7.6 Min: 7.62 / Avg: 7.64 / Max: 7.66 Min: 7.69 / Avg: 7.7 / Max: 7.7 Min: 8.45 / Avg: 8.48 / Max: 8.54 Min: 10.03 / Avg: 10.13 / Max: 10.22 Min: 10.34 / Avg: 10.44 / Max: 10.51 Min: 10.88 / Avg: 10.89 / Max: 10.91 Min: 14.08 / Avg: 14.13 / Max: 14.19 Min: 15.13 / Avg: 15.17 / Max: 15.21 Min: 15.5 / Avg: 15.61 / Max: 15.73 Min: 15.69 / Avg: 15.83 / Max: 15.93 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 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 187.07, N = 3 SE +/- 119.40, N = 3 SE +/- 45.88, N = 3 SE +/- 75.81, N = 3 SE +/- 92.56, N = 3 SE +/- 343.06, N = 3 SE +/- 13.41, N = 3 SE +/- 52.77, N = 3 SE +/- 54.68, N = 3 SE +/- 257.54, N = 3 SE +/- 40.52, N = 3 SE +/- 9.77, N = 3 SE +/- 98.09, N = 3 SE +/- 133.31, N = 3 SE +/- 120.60, N = 3 SE +/- 17.13, N = 3 SE +/- 41.67, N = 3 SE +/- 24.14, N = 3 SE +/- 68.03, N = 3 SE +/- 70.19, N = 3 38540 36999 36967 36572 36550 35249 34826 34785 33686 33447 32751 32539 29493 24697 23954 22972 17707 16485 16021 15804 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 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7252 EPYC 7262 EPYC 7232P 7K 14K 21K 28K 35K Min: 38166.46 / Avg: 38540.36 / Max: 38739.15 Min: 36803.87 / Avg: 36998.77 / Max: 37215.73 Min: 36896.39 / Avg: 36967.35 / Max: 37053.21 Min: 36488.4 / Avg: 36572 / Max: 36723.35 Min: 36387.68 / Avg: 36550.04 / Max: 36708.24 Min: 34574.19 / Avg: 35248.66 / Max: 35694.91 Min: 34805.18 / Avg: 34825.59 / Max: 34850.86 Min: 34688.51 / Avg: 34784.98 / Max: 34870.28 Min: 33587.24 / Avg: 33686.48 / Max: 33775.91 Min: 32935.76 / Avg: 33446.85 / Max: 33757.82 Min: 32695.26 / Avg: 32751.07 / Max: 32829.86 Min: 32528.13 / Avg: 32539.44 / Max: 32558.9 Min: 29298.25 / Avg: 29493.13 / Max: 29610.16 Min: 24473.27 / Avg: 24696.63 / Max: 24934.4 Min: 23803.1 / Avg: 23954.31 / Max: 24192.65 Min: 22941.92 / Avg: 22971.81 / Max: 23001.27 Min: 17626.81 / Avg: 17707.46 / Max: 17765.95 Min: 16444.32 / Avg: 16485.32 / Max: 16527.91 Min: 15905.97 / Avg: 16020.62 / Max: 16141.4 Min: 15702.99 / Avg: 15804.25 / Max: 15939.08 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: 250 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 0.343 0.346 0.386 0.390 0.455 0.487 0.488 0.511 0.528 0.540 0.572 0.657 0.741 0.804 0.876 1.104 1.400 1.580 1.638 1.730 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.38 / Avg: 0.39 / Max: 0.39 Min: 0.39 / Avg: 0.39 / Max: 0.39 Min: 0.45 / Avg: 0.46 / Max: 0.46 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.48 / Avg: 0.49 / Max: 0.49 Min: 0.51 / Avg: 0.51 / Max: 0.51 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.65 / Avg: 0.66 / Max: 0.66 Min: 0.74 / Avg: 0.74 / Max: 0.74 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 1.39 / Avg: 1.4 / Max: 1.41 Min: 1.58 / Avg: 1.58 / Max: 1.59 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.72 / Avg: 1.73 / Max: 1.74 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 160K 320K 480K 640K 800K SE +/- 11534.89, N = 3 SE +/- 11784.18, N = 3 SE +/- 1866.98, N = 3 SE +/- 1753.24, N = 3 SE +/- 1853.99, N = 3 SE +/- 1272.74, N = 3 SE +/- 3314.57, N = 3 SE +/- 1360.81, N = 3 SE +/- 1819.29, N = 3 SE +/- 744.17, N = 3 SE +/- 148.41, N = 3 SE +/- 964.32, N = 3 SE +/- 595.69, N = 3 SE +/- 458.18, N = 3 SE +/- 371.28, N = 3 SE +/- 190.54, N = 3 SE +/- 763.33, N = 3 SE +/- 281.99, N = 3 SE +/- 242.40, N = 3 SE +/- 390.58, N = 3 731736 725672 649201 642567 550558 514016 513483 489956 474244 463582 437752 381123 337875 311207 285548 226615 178724 158358 152685 144558 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 130K 260K 390K 520K 650K Min: 715925.22 / Avg: 731736.03 / Max: 754190.49 Min: 702987.15 / Avg: 725671.92 / Max: 742550.71 Min: 646151.18 / Avg: 649201.35 / Max: 652591.71 Min: 639083.37 / Avg: 642567.28 / Max: 644653.15 Min: 546858.3 / Avg: 550558.13 / Max: 552620.87 Min: 511766.55 / Avg: 514016.17 / Max: 516172.49 Min: 506902.52 / Avg: 513483.29 / Max: 517465.87 Min: 487238.87 / Avg: 489955.82 / Max: 491452.38 Min: 471317.66 / Avg: 474244.13 / Max: 477579.87 Min: 462640.97 / Avg: 463581.66 / Max: 465050.85 Min: 437599.54 / Avg: 437751.6 / Max: 438048.38 Min: 379914.86 / Avg: 381122.97 / Max: 383028.99 Min: 337174.62 / Avg: 337874.52 / Max: 339059.42 Min: 310297.61 / Avg: 311206.78 / Max: 311760.54 Min: 285054.9 / Avg: 285547.86 / Max: 286275.27 Min: 226256.52 / Avg: 226615.41 / Max: 226905.81 Min: 177208.31 / Avg: 178724.19 / Max: 179639.08 Min: 157829.21 / Avg: 158358.26 / Max: 158791.99 Min: 152214.65 / Avg: 152685.35 / Max: 153021.23 Min: 144006.14 / Avg: 144558.41 / Max: 145312.98 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 Write - Average Latency EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7262 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.006, N = 3 SE +/- 0.025, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.012, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 2.814 2.934 2.947 2.952 2.984 3.014 3.076 3.095 3.144 3.144 3.184 3.232 3.245 3.584 3.773 3.989 5.079 5.162 5.397 5.540 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 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7262 2 4 6 8 10 Min: 2.81 / Avg: 2.81 / Max: 2.83 Min: 2.89 / Avg: 2.93 / Max: 2.97 Min: 2.94 / Avg: 2.95 / Max: 2.95 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 2.97 / Avg: 2.98 / Max: 3.01 Min: 3 / Avg: 3.01 / Max: 3.03 Min: 3.06 / Avg: 3.08 / Max: 3.09 Min: 3.07 / Avg: 3.1 / Max: 3.11 Min: 3.12 / Avg: 3.14 / Max: 3.16 Min: 3.14 / Avg: 3.14 / Max: 3.15 Min: 3.18 / Avg: 3.18 / Max: 3.19 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 3.23 / Avg: 3.25 / Max: 3.26 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 3.95 / Avg: 3.99 / Max: 4.02 Min: 5.07 / Avg: 5.08 / Max: 5.09 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.4 / Avg: 5.4 / Max: 5.4 Min: 5.52 / Avg: 5.54 / Max: 5.55 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 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7352 EPYC 7282 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7262 8K 16K 24K 32K 40K SE +/- 78.00, N = 3 SE +/- 299.63, N = 3 SE +/- 21.81, N = 3 SE +/- 103.00, N = 3 SE +/- 148.55, N = 3 SE +/- 101.15, N = 3 SE +/- 83.89, N = 3 SE +/- 118.60, N = 3 SE +/- 29.87, N = 3 SE +/- 146.28, N = 3 SE +/- 51.77, N = 3 SE +/- 86.15, N = 3 SE +/- 102.56, N = 3 SE +/- 7.57, N = 3 SE +/- 16.91, N = 3 SE +/- 117.64, N = 3 SE +/- 18.08, N = 3 SE +/- 17.46, N = 3 SE +/- 6.01, N = 3 SE +/- 27.93, N = 3 35592 34154 33986 33924 33552 33238 32549 32370 31848 31841 31451 30982 30867 27933 26523 25093 19700 19383 18537 18060 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 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7352 EPYC 7282 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7262 6K 12K 18K 24K 30K Min: 35443.76 / Avg: 35592.46 / Max: 35707.68 Min: 33721.02 / Avg: 34154.35 / Max: 34729.48 Min: 33945.7 / Avg: 33985.57 / Max: 34020.84 Min: 33718.43 / Avg: 33924.16 / Max: 34036.14 Min: 33256.53 / Avg: 33552.19 / Max: 33725.41 Min: 33083.24 / Avg: 33238.13 / Max: 33428.27 Min: 32428.24 / Avg: 32548.65 / Max: 32710.05 Min: 32178.15 / Avg: 32369.75 / Max: 32586.65 Min: 31809.01 / Avg: 31848.24 / Max: 31906.87 Min: 31637.31 / Avg: 31841.25 / Max: 32124.87 Min: 31352.08 / Avg: 31450.92 / Max: 31527.01 Min: 30849.2 / Avg: 30982.07 / Max: 31143.51 Min: 30698.16 / Avg: 30866.88 / Max: 31052.26 Min: 27921.58 / Avg: 27932.63 / Max: 27947.12 Min: 26491.7 / Avg: 26523.04 / Max: 26549.72 Min: 24912.02 / Avg: 25092.89 / Max: 25313.65 Min: 19663.54 / Avg: 19699.69 / Max: 19718.67 Min: 19360.66 / Avg: 19382.71 / Max: 19417.19 Min: 18525.46 / Avg: 18537.25 / Max: 18545.21 Min: 18028.59 / Avg: 18060.48 / Max: 18116.14 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.1463 0.2926 0.4389 0.5852 0.7315 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 +/- 0.001, 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 +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.135 0.138 0.151 0.154 0.189 0.202 0.203 0.215 0.220 0.234 0.246 0.279 0.317 0.336 0.354 0.438 0.562 0.632 0.639 0.650 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.23 / Avg: 0.23 / Max: 0.24 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.64 / Avg: 0.64 / Max: 0.64 Min: 0.65 / Avg: 0.65 / Max: 0.65 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 160K 320K 480K 640K 800K SE +/- 827.25, N = 3 SE +/- 4530.06, N = 3 SE +/- 1797.71, N = 3 SE +/- 2221.89, N = 3 SE +/- 546.50, N = 3 SE +/- 177.44, N = 3 SE +/- 1887.75, N = 3 SE +/- 111.05, N = 3 SE +/- 470.31, N = 3 SE +/- 969.08, N = 3 SE +/- 1670.95, N = 3 SE +/- 1232.15, N = 3 SE +/- 683.10, N = 3 SE +/- 389.05, N = 3 SE +/- 966.61, N = 3 SE +/- 329.91, N = 3 SE +/- 241.14, N = 3 SE +/- 305.74, N = 3 SE +/- 205.85, N = 3 SE +/- 254.87, N = 3 743304 727901 663004 649224 531391 495910 492677 466511 455775 427421 407055 358726 315464 298191 282418 228748 177920 158436 156630 153957 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 130K 260K 390K 520K 650K Min: 742300.99 / Avg: 743304.49 / Max: 744945.44 Min: 720293.42 / Avg: 727901.14 / Max: 735966.03 Min: 659437.26 / Avg: 663004.17 / Max: 665178.95 Min: 645401.97 / Avg: 649223.99 / Max: 653098.28 Min: 530679.58 / Avg: 531390.67 / Max: 532465.07 Min: 495717.03 / Avg: 495910.37 / Max: 496264.76 Min: 490194.35 / Avg: 492676.87 / Max: 496381.59 Min: 466312.01 / Avg: 466511.04 / Max: 466695.91 Min: 454920.9 / Avg: 455775.26 / Max: 456543.22 Min: 425483.96 / Avg: 427421.1 / Max: 428444.12 Min: 403723.1 / Avg: 407054.86 / Max: 408946.14 Min: 356400.28 / Avg: 358726.15 / Max: 360594.31 Min: 314189.87 / Avg: 315463.89 / Max: 316528.12 Min: 297431.92 / Avg: 298190.97 / Max: 298718.73 Min: 281209.04 / Avg: 282418.32 / Max: 284329.18 Min: 228141.19 / Avg: 228748.21 / Max: 229275.69 Min: 177454.45 / Avg: 177919.83 / Max: 178262.11 Min: 157865.28 / Avg: 158436.38 / Max: 158911.19 Min: 156252.68 / Avg: 156629.93 / Max: 156961.35 Min: 153447.84 / Avg: 153956.74 / Max: 154236.45 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: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7F32 EPYC 7642 EPYC 7F52 EPYC 7282 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7272 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 0.0853 0.1706 0.2559 0.3412 0.4265 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 0.307 0.319 0.321 0.324 0.324 0.327 0.327 0.329 0.330 0.332 0.332 0.333 0.334 0.338 0.338 0.349 0.355 0.370 0.375 0.379 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: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7F32 EPYC 7642 EPYC 7F52 EPYC 7282 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7272 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 1 2 3 4 5 Min: 0.3 / Avg: 0.31 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.33 / Avg: 0.34 / Max: 0.34 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.37 / Avg: 0.38 / Max: 0.38 Min: 0.38 / Avg: 0.38 / Max: 0.38 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: 1 - Mode: Read Write EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7F32 EPYC 7642 EPYC 7F52 EPYC 7402P EPYC 7282 EPYC 7452 EPYC 7662 EPYC 7272 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 700 1400 2100 2800 3500 SE +/- 44.73, N = 3 SE +/- 22.48, N = 3 SE +/- 19.93, N = 3 SE +/- 31.43, N = 3 SE +/- 36.68, N = 3 SE +/- 16.12, N = 3 SE +/- 5.57, N = 3 SE +/- 16.57, N = 3 SE +/- 12.55, N = 3 SE +/- 3.04, N = 3 SE +/- 9.25, N = 3 SE +/- 36.94, N = 3 SE +/- 18.09, N = 3 SE +/- 41.46, N = 3 SE +/- 20.43, N = 3 SE +/- 38.78, N = 3 SE +/- 17.23, N = 3 SE +/- 36.77, N = 3 SE +/- 11.58, N = 3 SE +/- 11.61, N = 3 3262 3136 3118 3089 3086 3064 3060 3037 3025 3017 3010 3007 2993 2959 2958 2870 2821 2706 2666 2638 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: 1 - Mode: Read Write EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7F32 EPYC 7642 EPYC 7F52 EPYC 7402P EPYC 7282 EPYC 7452 EPYC 7662 EPYC 7272 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 600 1200 1800 2400 3000 Min: 3176.93 / Avg: 3261.79 / Max: 3328.76 Min: 3091.94 / Avg: 3135.97 / Max: 3165.84 Min: 3081.23 / Avg: 3117.96 / Max: 3149.71 Min: 3030.41 / Avg: 3088.86 / Max: 3138.1 Min: 3012.63 / Avg: 3085.97 / Max: 3124.23 Min: 3033.37 / Avg: 3063.79 / Max: 3088.28 Min: 3050.34 / Avg: 3060.33 / Max: 3069.58 Min: 3005.01 / Avg: 3037.11 / Max: 3060.32 Min: 3001.96 / Avg: 3025.16 / Max: 3045.07 Min: 3013.25 / Avg: 3017.3 / Max: 3023.25 Min: 2992.58 / Avg: 3010.35 / Max: 3023.7 Min: 2961.68 / Avg: 3007.13 / Max: 3080.29 Min: 2957.29 / Avg: 2992.6 / Max: 3017.08 Min: 2880.76 / Avg: 2959.07 / Max: 3021.81 Min: 2927.75 / Avg: 2958.16 / Max: 2996.99 Min: 2816.65 / Avg: 2869.87 / Max: 2945.34 Min: 2797.47 / Avg: 2821.48 / Max: 2854.9 Min: 2653.24 / Avg: 2706.36 / Max: 2776.95 Min: 2642.62 / Avg: 2665.73 / Max: 2678.58 Min: 2624.07 / Avg: 2637.91 / Max: 2660.98 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: 50 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 0.0752 0.1504 0.2256 0.3008 0.376 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 +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, 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 SE +/- 0.001, N = 3 0.076 0.080 0.085 0.089 0.101 0.104 0.105 0.106 0.108 0.112 0.118 0.133 0.162 0.177 0.182 0.235 0.295 0.331 0.333 0.334 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: 50 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 1 2 3 4 5 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.23 / Avg: 0.24 / Max: 0.24 Min: 0.29 / Avg: 0.29 / Max: 0.3 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 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: 50 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 140K 280K 420K 560K 700K SE +/- 3697.32, N = 3 SE +/- 1696.19, N = 3 SE +/- 8591.53, N = 3 SE +/- 1435.30, N = 3 SE +/- 4023.11, N = 3 SE +/- 2525.65, N = 3 SE +/- 918.89, N = 3 SE +/- 2498.86, N = 3 SE +/- 3216.95, N = 3 SE +/- 2589.99, N = 3 SE +/- 737.75, N = 3 SE +/- 1476.34, N = 3 SE +/- 4054.87, N = 3 SE +/- 1102.05, N = 3 SE +/- 188.91, N = 3 SE +/- 495.78, N = 3 SE +/- 355.78, N = 3 SE +/- 149.15, N = 3 SE +/- 59.09, N = 3 SE +/- 365.30, N = 3 662148 627200 584324 561006 496135 479309 476054 473689 461915 448194 422751 375491 309222 283189 275173 212371 169779 150981 150038 149789 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: 50 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 110K 220K 330K 440K 550K Min: 655584.32 / Avg: 662147.98 / Max: 668379.25 Min: 625341.73 / Avg: 627200.25 / Max: 630587.26 Min: 567149.65 / Avg: 584324.1 / Max: 593382.73 Min: 558840.46 / Avg: 561005.84 / Max: 563720.58 Min: 488299.95 / Avg: 496135.11 / Max: 501638.24 Min: 475531.25 / Avg: 479308.72 / Max: 484101.72 Min: 474618.02 / Avg: 476053.91 / Max: 477765.2 Min: 468862.37 / Avg: 473688.87 / Max: 477225.34 Min: 455559.41 / Avg: 461914.86 / Max: 465960.07 Min: 443042.26 / Avg: 448194.42 / Max: 451234.84 Min: 421326.32 / Avg: 422751.18 / Max: 423795.51 Min: 373949.43 / Avg: 375491.2 / Max: 378442.89 Min: 301122.23 / Avg: 309222.34 / Max: 313614.47 Min: 281583.18 / Avg: 283188.99 / Max: 285299.4 Min: 274874.9 / Avg: 275173.32 / Max: 275523.21 Min: 211623.16 / Avg: 212371.49 / Max: 213309.04 Min: 169162.65 / Avg: 169778.88 / Max: 170395.1 Min: 150724.14 / Avg: 150981.09 / Max: 151240.8 Min: 149922.88 / Avg: 150037.64 / Max: 150119.45 Min: 149174.95 / Avg: 149789.36 / Max: 150438.91 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Timed FFmpeg Compilation This test times how long it takes to build FFmpeg. 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 20.96 20.97 22.28 22.53 24.83 26.02 26.11 26.20 26.28 27.43 29.07 30.98 32.75 36.77 40.04 47.62 52.39 60.02 64.50 65.84 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 20.86 / Avg: 20.96 / Max: 21.01 Min: 20.87 / Avg: 20.97 / Max: 21.12 Min: 22.14 / Avg: 22.28 / Max: 22.37 Min: 22.46 / Avg: 22.53 / Max: 22.57 Min: 24.8 / Avg: 24.83 / Max: 24.89 Min: 25.97 / Avg: 26.02 / Max: 26.06 Min: 25.93 / Avg: 26.11 / Max: 26.31 Min: 26.09 / Avg: 26.2 / Max: 26.3 Min: 26.19 / Avg: 26.28 / Max: 26.46 Min: 27.37 / Avg: 27.43 / Max: 27.47 Min: 29.03 / Avg: 29.07 / Max: 29.1 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 32.56 / Avg: 32.75 / Max: 33.03 Min: 36.55 / Avg: 36.77 / Max: 36.99 Min: 39.94 / Avg: 40.04 / Max: 40.18 Min: 47.58 / Avg: 47.62 / Max: 47.67 Min: 52.34 / Avg: 52.39 / Max: 52.43 Min: 60 / Avg: 60.02 / Max: 60.04 Min: 64.46 / Avg: 64.5 / Max: 64.54 Min: 65.76 / Avg: 65.84 / Max: 65.98
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 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 600K 1200K 1800K 2400K 3000K SE +/- 39699.95, N = 3 SE +/- 39160.90, N = 3 SE +/- 21024.79, N = 13 SE +/- 25647.54, N = 15 SE +/- 22468.40, N = 3 SE +/- 17880.35, N = 3 SE +/- 2330.00, N = 3 SE +/- 16618.43, N = 3 SE +/- 16169.26, N = 11 SE +/- 18509.29, N = 3 SE +/- 15859.94, N = 15 SE +/- 10570.43, N = 3 SE +/- 6477.91, N = 3 SE +/- 11715.02, N = 3 SE +/- 6805.34, N = 3 SE +/- 4551.15, N = 3 SE +/- 5978.53, N = 3 SE +/- 6265.32, N = 3 SE +/- 2452.18, N = 3 SE +/- 7205.27, N = 5 2657818 2591791 2571578 2328453 2071664 1948887 1897261 1839236 1822559 1686640 1656161 1482377 1470326 1193703 986225 868519 762256 644878 631618 610628 1. (CC) gcc options: -pthread -lpthread -O3 -march=native Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 500K 1000K 1500K 2000K 2500K Min: 2583950 / Avg: 2657818 / Max: 2719969 Min: 2516831 / Avg: 2591791 / Max: 2648930 Min: 2423539 / Avg: 2571578.46 / Max: 2689288 Min: 2175791 / Avg: 2328453 / Max: 2490030 Min: 2041862 / Avg: 2071664.33 / Max: 2115692 Min: 1923349 / Avg: 1948887 / Max: 1983335 Min: 1892618 / Avg: 1897261.33 / Max: 1899924 Min: 1806283 / Avg: 1839235.67 / Max: 1859468 Min: 1719018 / Avg: 1822558.64 / Max: 1893316 Min: 1652517 / Avg: 1686640.33 / Max: 1716131 Min: 1522253 / Avg: 1656161.2 / Max: 1737769 Min: 1461250 / Avg: 1482377.33 / Max: 1493596 Min: 1458373 / Avg: 1470325.67 / Max: 1480631 Min: 1172032 / Avg: 1193703.33 / Max: 1212252 Min: 976561 / Avg: 986224.67 / Max: 999357 Min: 859551 / Avg: 868519.33 / Max: 874351 Min: 753807 / Avg: 762256.33 / Max: 773808 Min: 632353 / Avg: 644877.67 / Max: 651475 Min: 626851 / Avg: 631618.33 / Max: 634999 Min: 592286 / Avg: 610627.6 / Max: 636440 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 17.4 17.5 18.9 20.0 20.0 20.1 20.2 20.2 20.3 20.3 20.5 20.5 20.5 20.5 20.5 21.2 21.3 21.5 21.6 21.6 Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 5 10 15 20 25 Min: 17.3 / Avg: 17.37 / Max: 17.4 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 18.9 / Avg: 18.93 / Max: 19 Min: 20.1 / Avg: 20.1 / Max: 20.1 Min: 20.1 / Avg: 20.17 / Max: 20.2 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 20.3 / Avg: 20.33 / Max: 20.4 Min: 20.3 / Avg: 20.3 / Max: 20.3 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.4 / Avg: 20.47 / Max: 20.5 Min: 21.2 / Avg: 21.2 / Max: 21.2 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 21.5 / Avg: 21.53 / Max: 21.6 Min: 21.5 / Avg: 21.57 / Max: 21.6 Min: 21.6 / Avg: 21.6 / Max: 21.6
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 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 300K 600K 900K 1200K 1500K SE +/- 913.29, N = 3 SE +/- 315.40, N = 3 SE +/- 1097.23, N = 3 SE +/- 2361.14, N = 3 SE +/- 5088.42, N = 3 SE +/- 5237.13, N = 3 SE +/- 1516.40, N = 3 SE +/- 3413.67, N = 3 SE +/- 10861.25, N = 3 SE +/- 4296.32, N = 3 SE +/- 5097.39, N = 3 SE +/- 1079.01, N = 3 SE +/- 518.02, N = 3 SE +/- 3058.86, N = 3 SE +/- 430.91, N = 3 SE +/- 946.65, N = 3 SE +/- 254.64, N = 3 SE +/- 326.66, N = 3 SE +/- 309.16, N = 3 SE +/- 236.56, N = 3 1188218.25 1177095.85 1171853.21 1146666.31 989555.86 952974.53 943555.64 934407.24 908073.32 890248.99 881494.06 798236.46 709203.15 609406.36 582430.67 439772.58 359429.77 312587.17 298347.30 295421.35 1. (CC) gcc options: -O2 -lrt" -lrt Result Confidence
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 200K 400K 600K 800K 1000K Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71 Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68 Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87 Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33 Min: 982197.67 / Avg: 989555.86 / Max: 999323.37 Min: 942516.32 / Avg: 952974.53 / Max: 958705.75 Min: 941038.08 / Avg: 943555.64 / Max: 946278.96 Min: 929332.04 / Avg: 934407.24 / Max: 940899.74 Min: 892857.14 / Avg: 908073.32 / Max: 929107.19 Min: 885649.71 / Avg: 890248.99 / Max: 898834.32 Min: 871341.05 / Avg: 881494.06 / Max: 887368.86 Min: 796085.91 / Avg: 798236.46 / Max: 799467.02 Min: 708199.62 / Avg: 709203.15 / Max: 709927.9 Min: 603299.29 / Avg: 609406.36 / Max: 612772.48 Min: 581641.93 / Avg: 582430.67 / Max: 583125.8 Min: 438746.83 / Avg: 439772.58 / Max: 441663.6 Min: 359120.16 / Avg: 359429.77 / Max: 359934.76 Min: 312184.97 / Avg: 312587.17 / Max: 313234.14 Min: 297808.32 / Avg: 298347.3 / Max: 298879.2 Min: 295184.8 / Avg: 295421.35 / Max: 295894.46 1. (CC) gcc options: -O2 -lrt" -lrt
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.1030, N = 3 SE +/- 0.0803, N = 3 SE +/- 0.0515, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0548, N = 3 SE +/- 0.0731, N = 3 SE +/- 0.0427, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0143, N = 3 SE +/- 0.0331, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.1215, N = 3 SE +/- 0.0400, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0321, N = 3 SE +/- 0.0320, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0256, N = 3 47.8444 46.9800 40.7103 40.4891 32.0731 30.1246 30.0539 28.7846 27.6834 26.1195 24.3318 21.1889 18.7936 16.7132 15.7939 12.1514 9.3919 8.4046 8.0257 7.8320 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 47.71 / Avg: 47.84 / Max: 48.05 Min: 46.89 / Avg: 46.98 / Max: 47.14 Min: 40.64 / Avg: 40.71 / Max: 40.81 Min: 40.46 / Avg: 40.49 / Max: 40.53 Min: 31.99 / Avg: 32.07 / Max: 32.12 Min: 30.02 / Avg: 30.12 / Max: 30.2 Min: 29.97 / Avg: 30.05 / Max: 30.2 Min: 28.71 / Avg: 28.78 / Max: 28.86 Min: 27.6 / Avg: 27.68 / Max: 27.73 Min: 26.1 / Avg: 26.12 / Max: 26.15 Min: 24.3 / Avg: 24.33 / Max: 24.4 Min: 21.14 / Avg: 21.19 / Max: 21.24 Min: 18.63 / Avg: 18.79 / Max: 19.03 Min: 16.63 / Avg: 16.71 / Max: 16.77 Min: 15.75 / Avg: 15.79 / Max: 15.83 Min: 12.09 / Avg: 12.15 / Max: 12.19 Min: 9.35 / Avg: 9.39 / Max: 9.45 Min: 8.36 / Avg: 8.4 / Max: 8.43 Min: 8 / Avg: 8.03 / Max: 8.05 Min: 7.8 / Avg: 7.83 / Max: 7.88
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7262 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 0.8415 1.683 2.5245 3.366 4.2075 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 3.74 3.59 3.58 3.25 3.21 3.19 3.18 3.17 3.17 3.12 3.12 3.12 3.12 3.09 3.09 3.08 3.01 2.99 2.96 2.93 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7262 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 3.73 / Avg: 3.74 / Max: 3.75 Min: 3.57 / Avg: 3.59 / Max: 3.6 Min: 3.57 / Avg: 3.58 / Max: 3.59 Min: 3.23 / Avg: 3.25 / Max: 3.27 Min: 3.2 / Avg: 3.21 / Max: 3.22 Min: 3.19 / Avg: 3.19 / Max: 3.19 Min: 3.17 / Avg: 3.18 / Max: 3.18 Min: 3.16 / Avg: 3.17 / Max: 3.18 Min: 3.15 / Avg: 3.17 / Max: 3.2 Min: 3.12 / Avg: 3.12 / Max: 3.13 Min: 3.11 / Avg: 3.12 / Max: 3.13 Min: 3.12 / Avg: 3.12 / Max: 3.12 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.08 / Avg: 3.09 / Max: 3.1 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 2.99 / Avg: 3.01 / Max: 3.03 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 2.95 / Avg: 2.96 / Max: 2.97 Min: 2.92 / Avg: 2.93 / Max: 2.94 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: System V Message Passing EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7F72 EPYC 7532 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 4M 8M 12M 16M 20M SE +/- 8693.64, N = 3 SE +/- 23882.84, N = 3 SE +/- 39273.11, N = 3 SE +/- 82031.38, N = 3 SE +/- 15756.34, N = 3 SE +/- 32302.81, N = 3 SE +/- 31948.05, N = 3 SE +/- 68594.59, N = 3 SE +/- 17504.90, N = 3 SE +/- 36622.92, N = 3 SE +/- 28849.95, N = 3 SE +/- 196361.88, N = 3 SE +/- 181654.19, N = 3 SE +/- 38085.55, N = 3 SE +/- 162466.69, N = 3 SE +/- 92644.45, N = 10 SE +/- 69777.45, N = 3 SE +/- 65857.23, N = 3 SE +/- 98081.03, N = 4 SE +/- 114237.77, N = 3 18193151.02 17265800.06 16692287.18 16073708.79 15763728.21 15730105.77 15672529.45 15441087.32 13739556.11 13675041.19 12882446.44 12740323.69 12736083.57 11819767.35 10809670.89 10221764.78 8377375.75 8164377.04 7202954.68 6754401.34 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: System V Message Passing EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7F72 EPYC 7532 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 3M 6M 9M 12M 15M Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54 Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18 Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69 Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62 Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16 Min: 15674170.83 / Avg: 15730105.77 / Max: 15786071.05 Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35 Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7 Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16 Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43 Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91 Min: 12436522.18 / Avg: 12740323.69 / Max: 13107752.74 Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11 Min: 11764168.15 / Avg: 11819767.35 / Max: 11892656.58 Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58 Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37 Min: 8238743.75 / Avg: 8377375.75 / Max: 8460568.05 Min: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93 Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21 Min: 6580428.23 / Avg: 6754401.34 / Max: 6969648.65 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.1026, N = 3 SE +/- 0.2108, N = 3 SE +/- 0.0818, N = 3 SE +/- 0.0627, N = 3 SE +/- 0.0447, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.3292, N = 3 SE +/- 0.0542, N = 3 SE +/- 0.0437, N = 3 SE +/- 0.0580, N = 3 SE +/- 0.0199, N = 3 SE +/- 0.0388, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.1564, N = 3 SE +/- 0.0125, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0274, N = 3 SE +/- 0.0426, N = 3 SE +/- 0.0025, N = 3 SE +/- 0.0338, N = 3 49.5785 48.7032 42.4040 42.2680 33.3894 31.1622 31.0041 29.8188 28.6727 27.4844 25.4338 22.0671 19.7680 17.3250 16.4495 12.6906 9.8471 8.8254 8.3957 8.1763 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 49.46 / Avg: 49.58 / Max: 49.78 Min: 48.33 / Avg: 48.7 / Max: 49.06 Min: 42.24 / Avg: 42.4 / Max: 42.51 Min: 42.15 / Avg: 42.27 / Max: 42.37 Min: 33.3 / Avg: 33.39 / Max: 33.44 Min: 31.07 / Avg: 31.16 / Max: 31.23 Min: 30.36 / Avg: 31 / Max: 31.43 Min: 29.74 / Avg: 29.82 / Max: 29.92 Min: 28.6 / Avg: 28.67 / Max: 28.75 Min: 27.39 / Avg: 27.48 / Max: 27.59 Min: 25.4 / Avg: 25.43 / Max: 25.46 Min: 22.01 / Avg: 22.07 / Max: 22.14 Min: 19.75 / Avg: 19.77 / Max: 19.79 Min: 17.03 / Avg: 17.33 / Max: 17.57 Min: 16.43 / Avg: 16.45 / Max: 16.47 Min: 12.68 / Avg: 12.69 / Max: 12.7 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 8.76 / Avg: 8.83 / Max: 8.91 Min: 8.39 / Avg: 8.4 / Max: 8.4 Min: 8.11 / Avg: 8.18 / Max: 8.23
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7302P EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7272 EPYC 7282 EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7262 EPYC 7232P EPYC 7552 EPYC 7662 EPYC 7352 EPYC 7252 6 12 18 24 30 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 22.98 22.33 22.04 18.97 18.86 18.77 18.76 18.71 18.68 18.53 18.46 18.44 18.40 18.27 18.23 18.13 18.12 18.07 17.65 17.10 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7302P EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7272 EPYC 7282 EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7262 EPYC 7232P EPYC 7552 EPYC 7662 EPYC 7352 EPYC 7252 5 10 15 20 25 Min: 22.8 / Avg: 22.98 / Max: 23.16 Min: 21.98 / Avg: 22.33 / Max: 22.76 Min: 21.97 / Avg: 22.04 / Max: 22.17 Min: 18.84 / Avg: 18.97 / Max: 19.04 Min: 18.67 / Avg: 18.86 / Max: 19.06 Min: 18.47 / Avg: 18.77 / Max: 19.08 Min: 18.6 / Avg: 18.76 / Max: 19.08 Min: 18.57 / Avg: 18.71 / Max: 18.98 Min: 18.6 / Avg: 18.68 / Max: 18.77 Min: 18.3 / Avg: 18.53 / Max: 18.82 Min: 18.41 / Avg: 18.46 / Max: 18.52 Min: 18.28 / Avg: 18.44 / Max: 18.53 Min: 18.31 / Avg: 18.4 / Max: 18.46 Min: 18.08 / Avg: 18.27 / Max: 18.46 Min: 17.95 / Avg: 18.23 / Max: 18.42 Min: 18 / Avg: 18.13 / Max: 18.37 Min: 18.09 / Avg: 18.12 / Max: 18.14 Min: 17.9 / Avg: 18.07 / Max: 18.19 Min: 17.62 / Avg: 17.65 / Max: 17.71 Min: 16.86 / Avg: 17.1 / Max: 17.53 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
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 7552 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7702 EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 200 400 600 800 1000 SE +/- 7.28, N = 3 SE +/- 2.19, N = 3 SE +/- 3.81, N = 3 SE +/- 2.26, N = 3 SE +/- 3.71, N = 3 SE +/- 8.34, N = 15 SE +/- 5.12, N = 3 SE +/- 3.68, N = 3 SE +/- 4.59, N = 3 SE +/- 8.62, N = 3 SE +/- 4.75, N = 3 SE +/- 7.21, N = 3 SE +/- 1.41, N = 3 SE +/- 0.93, N = 3 SE +/- 3.78, N = 3 SE +/- 0.52, N = 3 SE +/- 0.46, N = 3 SE +/- 1.15, N = 3 SE +/- 0.72, N = 3 SE +/- 0.93, N = 3 876.16 861.61 857.35 855.91 854.03 851.38 835.18 768.16 734.97 722.39 710.07 601.42 593.00 573.75 562.70 418.94 346.00 335.86 316.48 313.26 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++ Result Confidence
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping EPYC 7552 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7702 EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 150 300 450 600 750 Min: 864.6 / Avg: 876.16 / Max: 889.6 Min: 857.78 / Avg: 861.61 / Max: 865.35 Min: 849.83 / Avg: 857.35 / Max: 862.22 Min: 851.43 / Avg: 855.91 / Max: 858.66 Min: 846.67 / Avg: 854.03 / Max: 858.59 Min: 820.21 / Avg: 851.38 / Max: 945 Min: 826.38 / Avg: 835.18 / Max: 844.1 Min: 760.8 / Avg: 768.16 / Max: 772.02 Min: 727.27 / Avg: 734.97 / Max: 743.16 Min: 706.02 / Avg: 722.39 / Max: 735.24 Min: 701.61 / Avg: 710.07 / Max: 718.03 Min: 589.76 / Avg: 601.42 / Max: 614.59 Min: 590.18 / Avg: 593 / Max: 594.5 Min: 572.74 / Avg: 573.75 / Max: 575.61 Min: 555.16 / Avg: 562.7 / Max: 566.8 Min: 418.01 / Avg: 418.94 / Max: 419.82 Min: 345.39 / Avg: 346 / Max: 346.9 Min: 334.12 / Avg: 335.86 / Max: 338.03 Min: 315.07 / Avg: 316.48 / Max: 317.43 Min: 311.97 / Avg: 313.26 / Max: 315.06 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
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: Glibc Qsort Data Sorting EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 160 320 480 640 800 SE +/- 0.22, N = 3 SE +/- 1.11, N = 3 SE +/- 3.28, N = 3 SE +/- 0.84, N = 3 SE +/- 1.41, N = 3 SE +/- 1.14, N = 3 SE +/- 1.72, N = 3 SE +/- 1.34, N = 3 SE +/- 0.82, N = 3 SE +/- 0.05, N = 3 SE +/- 0.38, N = 3 SE +/- 0.58, N = 3 SE +/- 0.72, N = 3 SE +/- 0.63, N = 3 SE +/- 0.38, N = 3 SE +/- 1.17, N = 3 SE +/- 1.40, N = 8 SE +/- 0.57, N = 3 SE +/- 0.44, N = 3 SE +/- 0.66, N = 3 720.68 712.74 601.79 593.06 466.71 437.71 435.96 420.92 399.46 382.48 355.44 309.62 278.96 236.25 227.20 170.19 136.68 120.20 113.46 112.92 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 130 260 390 520 650 Min: 720.27 / Avg: 720.68 / Max: 721 Min: 711.33 / Avg: 712.74 / Max: 714.93 Min: 595.33 / Avg: 601.79 / Max: 606.03 Min: 591.77 / Avg: 593.06 / Max: 594.63 Min: 464.07 / Avg: 466.71 / Max: 468.9 Min: 435.47 / Avg: 437.71 / Max: 439.17 Min: 432.87 / Avg: 435.96 / Max: 438.83 Min: 418.33 / Avg: 420.92 / Max: 422.83 Min: 398.4 / Avg: 399.46 / Max: 401.07 Min: 382.4 / Avg: 382.48 / Max: 382.57 Min: 354.83 / Avg: 355.44 / Max: 356.13 Min: 308.5 / Avg: 309.62 / Max: 310.43 Min: 277.53 / Avg: 278.96 / Max: 279.87 Min: 235.37 / Avg: 236.25 / Max: 237.47 Min: 226.63 / Avg: 227.2 / Max: 227.93 Min: 168.1 / Avg: 170.19 / Max: 172.13 Min: 127.17 / Avg: 136.68 / Max: 139.47 Min: 119.6 / Avg: 120.2 / Max: 121.33 Min: 112.6 / Avg: 113.46 / Max: 114.07 Min: 111.63 / Avg: 112.92 / Max: 113.77 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
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 7662 EPYC 7642 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7282 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7F32 5 10 15 20 25 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 SE +/- 0.012, N = 3 SE +/- 0.272, N = 15 SE +/- 0.119, N = 15 SE +/- 0.009, N = 3 SE +/- 0.111, N = 3 SE +/- 0.052, N = 3 SE +/- 0.012, N = 3 SE +/- 0.056, N = 3 SE +/- 0.026, N = 3 SE +/- 0.017, N = 3 SE +/- 0.038, N = 3 SE +/- 0.035, N = 3 SE +/- 0.135, N = 3 SE +/- 0.173, N = 15 SE +/- 0.057, N = 3 SE +/- 0.266, N = 15 SE +/- 0.329, N = 3 SE +/- 0.226, N = 15 8.985 9.245 10.974 12.012 12.806 14.211 14.571 14.658 14.680 14.693 14.798 15.179 15.589 16.977 18.435 18.764 19.211 19.380 20.041 21.323 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7282 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7F32 5 10 15 20 25 Min: 8.94 / Avg: 8.98 / Max: 9.01 Min: 9.23 / Avg: 9.25 / Max: 9.27 Min: 10.95 / Avg: 10.97 / Max: 10.99 Min: 10.44 / Avg: 12.01 / Max: 13.11 Min: 12.04 / Avg: 12.81 / Max: 13.6 Min: 14.2 / Avg: 14.21 / Max: 14.23 Min: 14.41 / Avg: 14.57 / Max: 14.78 Min: 14.57 / Avg: 14.66 / Max: 14.75 Min: 14.66 / Avg: 14.68 / Max: 14.7 Min: 14.61 / Avg: 14.69 / Max: 14.8 Min: 14.76 / Avg: 14.8 / Max: 14.85 Min: 15.15 / Avg: 15.18 / Max: 15.21 Min: 15.51 / Avg: 15.59 / Max: 15.64 Min: 16.93 / Avg: 16.98 / Max: 17.05 Min: 18.26 / Avg: 18.44 / Max: 18.7 Min: 18.11 / Avg: 18.76 / Max: 19.48 Min: 19.14 / Avg: 19.21 / Max: 19.33 Min: 18.7 / Avg: 19.38 / Max: 22.24 Min: 19.54 / Avg: 20.04 / Max: 20.66 Min: 19.39 / Avg: 21.32 / Max: 22.56 1. (CXX) g++ options: -O2 -lOpenCL
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: Malloc EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200M 400M 600M 800M 1000M SE +/- 14941610.79, N = 5 SE +/- 8607660.07, N = 3 SE +/- 14142485.95, N = 4 SE +/- 12958817.78, N = 3 SE +/- 6691126.83, N = 3 SE +/- 3827416.70, N = 3 SE +/- 6501806.47, N = 3 SE +/- 2320863.50, N = 3 SE +/- 7505047.53, N = 3 SE +/- 1557290.44, N = 3 SE +/- 7267307.29, N = 3 SE +/- 5582686.96, N = 4 SE +/- 3887259.11, N = 3 SE +/- 828548.78, N = 3 SE +/- 1775182.63, N = 3 SE +/- 1200697.76, N = 3 SE +/- 506097.03, N = 3 SE +/- 582055.48, N = 3 SE +/- 509017.81, N = 3 SE +/- 191997.00, N = 3 1149281981.04 1123083708.67 986299971.45 903000809.74 735684027.48 638506395.09 628761361.90 616294829.53 590141135.13 508508378.36 424917536.89 384604006.18 326966719.16 244187311.27 187592330.55 131137677.35 117957703.69 105775501.86 83844100.09 63595537.41 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Malloc EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200M 400M 600M 800M 1000M Min: 1124258696.24 / Avg: 1149281981.04 / Max: 1207808686.44 Min: 1108609374.59 / Avg: 1123083708.67 / Max: 1138392162.81 Min: 960346669.18 / Avg: 986299971.45 / Max: 1017067226.89 Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61 Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53 Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11 Min: 620992825.66 / Avg: 628761361.9 / Max: 641676568.26 Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44 Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55 Min: 506299751.97 / Avg: 508508378.36 / Max: 511514516.37 Min: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92 Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17 Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82 Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69 Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75 Min: 129775143.86 / Avg: 131137677.35 / Max: 133531442.9 Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65 Min: 104768693.64 / Avg: 105775501.86 / Max: 106784987.65 Min: 82858529.24 / Avg: 83844100.09 / Max: 84557758.69 Min: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7702 EPYC 7642 EPYC 7502P EPYC 7452 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7502 EPYC 7282 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7302P EPYC 7272 EPYC 7352 7 14 21 28 35 SE +/- 0.24, N = 3 SE +/- 0.30, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.01, N = 3 SE +/- 0.25, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 3 SE +/- 0.44, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 24.76 25.21 25.32 26.57 26.66 26.77 26.96 27.00 27.09 27.11 27.13 27.19 27.61 27.84 28.01 28.16 28.42 28.46 28.50 28.71 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7702 EPYC 7642 EPYC 7502P EPYC 7452 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7502 EPYC 7282 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7302P EPYC 7272 EPYC 7352 6 12 18 24 30 Min: 24.28 / Avg: 24.76 / Max: 25.03 Min: 24.89 / Avg: 25.21 / Max: 25.82 Min: 24.99 / Avg: 25.32 / Max: 25.62 Min: 26.21 / Avg: 26.57 / Max: 26.95 Min: 26.6 / Avg: 26.66 / Max: 26.73 Min: 26.73 / Avg: 26.77 / Max: 26.81 Min: 26.7 / Avg: 26.96 / Max: 27.44 Min: 26.69 / Avg: 27 / Max: 27.52 Min: 26.96 / Avg: 27.09 / Max: 27.3 Min: 26.81 / Avg: 27.11 / Max: 27.46 Min: 27.12 / Avg: 27.13 / Max: 27.15 Min: 26.69 / Avg: 27.19 / Max: 27.46 Min: 27.34 / Avg: 27.61 / Max: 28.08 Min: 27.29 / Avg: 27.84 / Max: 28.45 Min: 27.53 / Avg: 28.01 / Max: 28.9 Min: 28.08 / Avg: 28.16 / Max: 28.28 Min: 28.28 / Avg: 28.42 / Max: 28.64 Min: 28.39 / Avg: 28.46 / Max: 28.52 Min: 28.13 / Avg: 28.5 / Max: 28.83 Min: 28.39 / Avg: 28.71 / Max: 28.87
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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7252 EPYC 7542 EPYC 7532 EPYC 7402P EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7232P EPYC 7662 EPYC 7352 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.29, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 24.72 24.80 26.26 30.66 32.00 32.18 32.40 32.44 32.46 32.52 32.74 32.76 32.94 32.97 33.26 33.28 33.54 33.56 33.66 33.82 1. EPYC 7F32: rsvg-convert version 2.50.1 2. EPYC 7F52: rsvg-convert version 2.50.1 3. EPYC 7F72: rsvg-convert version 2.50.0 4. EPYC 7262: rsvg-convert version 2.50.1 5. EPYC 7302P: rsvg-convert version 2.50.1 6. EPYC 7252: rsvg-convert version 2.50.1 7. EPYC 7542: rsvg-convert version 2.50.1 8. EPYC 7532: rsvg-convert version 2.50.1 9. EPYC 7402P: rsvg-convert version 2.50.1 10. EPYC 7272: rsvg-convert version 2.50.1 11. EPYC 7502P: rsvg-convert version 2.50.1 12. EPYC 7502: rsvg-convert version 2.50.1 13. EPYC 7282: rsvg-convert version 2.50.1 14. EPYC 7452: rsvg-convert version 2.50.1 15. EPYC 7552: rsvg-convert version 2.50.1 16. EPYC 7642: rsvg-convert version 2.50.1 17. EPYC 7702: rsvg-convert version 2.50.1 18. EPYC 7232P: rsvg-convert version 2.50.1 19. EPYC 7662: rsvg-convert version 2.50.1 20. EPYC 7352: rsvg-convert version 2.50.1 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7302P EPYC 7252 EPYC 7542 EPYC 7532 EPYC 7402P EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7232P EPYC 7662 EPYC 7352 7 14 21 28 35 Min: 24.65 / Avg: 24.72 / Max: 24.81 Min: 24.68 / Avg: 24.8 / Max: 24.99 Min: 26.19 / Avg: 26.26 / Max: 26.33 Min: 30.42 / Avg: 30.65 / Max: 30.84 Min: 31.69 / Avg: 32 / Max: 32.17 Min: 31.99 / Avg: 32.18 / Max: 32.32 Min: 32.37 / Avg: 32.4 / Max: 32.44 Min: 31.88 / Avg: 32.44 / Max: 32.87 Min: 32.35 / Avg: 32.46 / Max: 32.55 Min: 32.35 / Avg: 32.52 / Max: 32.78 Min: 32.59 / Avg: 32.74 / Max: 32.84 Min: 32.66 / Avg: 32.76 / Max: 32.83 Min: 32.89 / Avg: 32.94 / Max: 32.99 Min: 32.85 / Avg: 32.97 / Max: 33.11 Min: 33.22 / Avg: 33.26 / Max: 33.31 Min: 33.22 / Avg: 33.27 / Max: 33.33 Min: 33.49 / Avg: 33.54 / Max: 33.6 Min: 33.41 / Avg: 33.56 / Max: 33.74 Min: 33.55 / Avg: 33.66 / Max: 33.79 Min: 33.74 / Avg: 33.82 / Max: 33.87 1. EPYC 7F32: rsvg-convert version 2.50.1 2. EPYC 7F52: rsvg-convert version 2.50.1 3. EPYC 7F72: rsvg-convert version 2.50.0 4. EPYC 7262: rsvg-convert version 2.50.1 5. EPYC 7302P: rsvg-convert version 2.50.1 6. EPYC 7252: rsvg-convert version 2.50.1 7. EPYC 7542: rsvg-convert version 2.50.1 8. EPYC 7532: rsvg-convert version 2.50.1 9. EPYC 7402P: rsvg-convert version 2.50.1 10. EPYC 7272: rsvg-convert version 2.50.1 11. EPYC 7502P: rsvg-convert version 2.50.1 12. EPYC 7502: rsvg-convert version 2.50.1 13. EPYC 7282: rsvg-convert version 2.50.1 14. EPYC 7452: rsvg-convert version 2.50.1 15. EPYC 7552: rsvg-convert version 2.50.1 16. EPYC 7642: rsvg-convert version 2.50.1 17. EPYC 7702: rsvg-convert version 2.50.1 18. EPYC 7232P: rsvg-convert version 2.50.1 19. EPYC 7662: rsvg-convert version 2.50.1 20. EPYC 7352: rsvg-convert version 2.50.1
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 14 28 42 56 70 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 12.21 12.26 14.11 14.19 17.04 18.44 18.51 19.09 19.89 19.91 22.14 25.35 26.27 31.05 33.03 41.65 50.03 57.60 60.37 61.51 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 12 24 36 48 60 Min: 12.18 / Avg: 12.21 / Max: 12.28 Min: 12.22 / Avg: 12.26 / Max: 12.29 Min: 14.01 / Avg: 14.11 / Max: 14.21 Min: 14.15 / Avg: 14.19 / Max: 14.22 Min: 16.94 / Avg: 17.04 / Max: 17.13 Min: 18.3 / Avg: 18.44 / Max: 18.53 Min: 18.47 / Avg: 18.51 / Max: 18.57 Min: 19 / Avg: 19.09 / Max: 19.15 Min: 19.8 / Avg: 19.89 / Max: 20.07 Min: 19.82 / Avg: 19.91 / Max: 20 Min: 22.06 / Avg: 22.14 / Max: 22.21 Min: 25.21 / Avg: 25.35 / Max: 25.51 Min: 26.18 / Avg: 26.27 / Max: 26.37 Min: 30.9 / Avg: 31.05 / Max: 31.33 Min: 32.97 / Avg: 33.03 / Max: 33.13 Min: 41.44 / Avg: 41.65 / Max: 41.77 Min: 49.81 / Avg: 50.03 / Max: 50.16 Min: 57.29 / Avg: 57.6 / Max: 57.82 Min: 60.21 / Avg: 60.37 / Max: 60.52 Min: 60.97 / Avg: 61.51 / Max: 61.97 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
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 7642 EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K SE +/- 41.92, N = 3 SE +/- 19.00, N = 3 SE +/- 33.91, N = 3 SE +/- 34.11, N = 3 SE +/- 47.55, N = 3 SE +/- 120.12, N = 4 SE +/- 56.37, N = 3 SE +/- 21.95, N = 3 SE +/- 21.22, N = 3 SE +/- 73.24, N = 3 SE +/- 62.39, N = 3 SE +/- 85.19, N = 3 SE +/- 21.51, N = 3 SE +/- 46.59, N = 3 SE +/- 18.60, N = 3 SE +/- 94.23, N = 3 SE +/- 26.82, N = 3 SE +/- 91.17, N = 3 SE +/- 51.10, N = 3 SE +/- 21.13, N = 3 8485.3 8474.7 8339.1 8321.8 8211.2 8078.1 8021.9 7898.1 7843.2 7798.1 7767.9 7704.5 7663.0 7464.0 6630.5 6299.5 6268.0 6043.6 5603.3 4992.3 1. (CC) gcc options: -O3 -pthread -lz -llzma Result Confidence
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7642 EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1500 3000 4500 6000 7500 Min: 8407.9 / Avg: 8485.3 / Max: 8551.9 Min: 8438.3 / Avg: 8474.67 / Max: 8502.4 Min: 8271.3 / Avg: 8339.07 / Max: 8375.2 Min: 8253.7 / Avg: 8321.83 / Max: 8358.7 Min: 8157.2 / Avg: 8211.2 / Max: 8306 Min: 7939.2 / Avg: 8078.13 / Max: 8437.6 Min: 7956.8 / Avg: 8021.93 / Max: 8134.2 Min: 7872.6 / Avg: 7898.1 / Max: 7941.8 Min: 7818.2 / Avg: 7843.2 / Max: 7885.4 Min: 7708.2 / Avg: 7798.1 / Max: 7943.2 Min: 7675.6 / Avg: 7767.93 / Max: 7886.8 Min: 7601.2 / Avg: 7704.5 / Max: 7873.5 Min: 7630 / Avg: 7663 / Max: 7703.4 Min: 7410.3 / Avg: 7464 / Max: 7556.8 Min: 6604.6 / Avg: 6630.53 / Max: 6666.6 Min: 6179.4 / Avg: 6299.47 / Max: 6485.3 Min: 6238.3 / Avg: 6267.97 / Max: 6321.5 Min: 5931.9 / Avg: 6043.63 / Max: 6224.3 Min: 5543.9 / Avg: 5603.27 / Max: 5705 Min: 4963.2 / Avg: 4992.3 / Max: 5033.4 1. (CC) gcc options: -O3 -pthread -lz -llzma
Tesseract OCR Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7452 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 27.06 27.46 28.66 30.73 30.92 30.95 31.04 31.07 31.08 31.16 31.25 31.36 31.47 31.50 31.52 32.11 32.22 32.43 32.45 32.65 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7452 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 7 14 21 28 35 Min: 27.03 / Avg: 27.06 / Max: 27.08 Min: 27.36 / Avg: 27.46 / Max: 27.59 Min: 28.48 / Avg: 28.66 / Max: 28.8 Min: 30.61 / Avg: 30.73 / Max: 30.81 Min: 30.65 / Avg: 30.92 / Max: 31.15 Min: 30.61 / Avg: 30.95 / Max: 31.12 Min: 30.94 / Avg: 31.04 / Max: 31.21 Min: 30.99 / Avg: 31.07 / Max: 31.14 Min: 30.92 / Avg: 31.08 / Max: 31.4 Min: 30.94 / Avg: 31.16 / Max: 31.56 Min: 31.05 / Avg: 31.25 / Max: 31.39 Min: 31.16 / Avg: 31.36 / Max: 31.61 Min: 31.39 / Avg: 31.47 / Max: 31.61 Min: 31.22 / Avg: 31.5 / Max: 31.87 Min: 31.41 / Avg: 31.52 / Max: 31.71 Min: 32.02 / Avg: 32.11 / Max: 32.2 Min: 32.11 / Avg: 32.22 / Max: 32.33 Min: 32.4 / Avg: 32.43 / Max: 32.45 Min: 32.35 / Avg: 32.45 / Max: 32.52 Min: 32.51 / Avg: 32.65 / Max: 32.79
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7252 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7532 140 280 420 560 700 SE +/- 3.29, N = 3 SE +/- 3.78, N = 3 SE +/- 2.20, N = 3 SE +/- 0.90, N = 3 SE +/- 1.77, N = 3 SE +/- 1.68, N = 3 SE +/- 2.23, N = 3 SE +/- 2.27, N = 3 SE +/- 0.69, N = 3 SE +/- 1.28, N = 3 SE +/- 1.97, N = 3 SE +/- 1.27, N = 3 SE +/- 2.24, N = 3 SE +/- 0.97, N = 3 SE +/- 0.82, N = 3 SE +/- 4.78, N = 3 SE +/- 1.70, N = 3 SE +/- 2.58, N = 3 SE +/- 3.15, N = 3 SE +/- 6.57, N = 5 638.63 627.38 610.59 561.08 555.91 554.85 553.10 553.03 552.58 551.71 548.14 547.26 546.00 544.37 524.17 522.70 522.61 518.46 514.90 498.78 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7252 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7532 110 220 330 440 550 Min: 633.32 / Avg: 638.63 / Max: 644.64 Min: 620.31 / Avg: 627.38 / Max: 633.22 Min: 606.95 / Avg: 610.59 / Max: 614.54 Min: 559.5 / Avg: 561.08 / Max: 562.6 Min: 553.76 / Avg: 555.91 / Max: 559.42 Min: 551.67 / Avg: 554.85 / Max: 557.36 Min: 548.69 / Avg: 553.1 / Max: 555.94 Min: 549.37 / Avg: 553.03 / Max: 557.19 Min: 551.19 / Avg: 552.58 / Max: 553.32 Min: 549.24 / Avg: 551.71 / Max: 553.49 Min: 544.84 / Avg: 548.14 / Max: 551.64 Min: 544.73 / Avg: 547.26 / Max: 548.69 Min: 543.31 / Avg: 546 / Max: 550.44 Min: 543.29 / Avg: 544.37 / Max: 546.31 Min: 522.79 / Avg: 524.17 / Max: 525.64 Min: 515.19 / Avg: 522.7 / Max: 531.59 Min: 519.72 / Avg: 522.61 / Max: 525.6 Min: 514.52 / Avg: 518.46 / Max: 523.31 Min: 509.41 / Avg: 514.9 / Max: 520.31 Min: 482.34 / Avg: 498.78 / Max: 510.26 1. (CC) gcc options: -lm
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: json_loads EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7352 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 27.4 27.4 28.9 31.3 31.3 31.7 31.7 31.8 31.8 32.0 32.2 32.3 32.4 32.4 32.4 33.3 33.3 33.4 33.4 34.2 Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7352 7 14 21 28 35 Min: 27.3 / Avg: 27.37 / Max: 27.4 Min: 27.3 / Avg: 27.4 / Max: 27.5 Min: 28.9 / Avg: 28.9 / Max: 28.9 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 31.7 / Avg: 31.73 / Max: 31.8 Min: 31.7 / Avg: 31.7 / Max: 31.7 Min: 31.8 / Avg: 31.8 / Max: 31.8 Min: 31.7 / Avg: 31.77 / Max: 31.8 Min: 31.9 / Avg: 32 / Max: 32.1 Min: 32.2 / Avg: 32.2 / Max: 32.2 Min: 32.3 / Avg: 32.33 / Max: 32.4 Min: 32.3 / Avg: 32.37 / Max: 32.4 Min: 32.4 / Avg: 32.43 / Max: 32.5 Min: 32.4 / Avg: 32.4 / Max: 32.4 Min: 33.3 / Avg: 33.33 / Max: 33.4 Min: 33.2 / Avg: 33.27 / Max: 33.3 Min: 33.3 / Avg: 33.37 / Max: 33.4 Min: 33.4 / Avg: 33.43 / Max: 33.5 Min: 34.2 / Avg: 34.23 / Max: 34.3
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 7662 EPYC 7542 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, 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 +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 27.55 27.20 27.11 27.03 26.65 25.35 25.35 24.63 24.54 23.38 19.93 19.83 18.87 18.33 16.21 14.74 12.91 12.35 12.25 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7662 EPYC 7542 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 27.51 / Avg: 27.55 / Max: 27.59 Min: 27.03 / Avg: 27.2 / Max: 27.32 Min: 27.05 / Avg: 27.11 / Max: 27.2 Min: 26.99 / Avg: 27.03 / Max: 27.07 Min: 26.64 / Avg: 26.65 / Max: 26.67 Min: 25.28 / Avg: 25.35 / Max: 25.39 Min: 25.25 / Avg: 25.35 / Max: 25.42 Min: 24.61 / Avg: 24.63 / Max: 24.66 Min: 24.5 / Avg: 24.54 / Max: 24.59 Min: 23.33 / Avg: 23.38 / Max: 23.44 Min: 19.9 / Avg: 19.93 / Max: 19.97 Min: 19.77 / Avg: 19.83 / Max: 19.86 Min: 18.83 / Avg: 18.87 / Max: 18.89 Min: 18.3 / Avg: 18.33 / Max: 18.36 Min: 16.17 / Avg: 16.21 / Max: 16.27 Min: 14.69 / Avg: 14.74 / Max: 14.77 Min: 12.89 / Avg: 12.91 / Max: 12.95 Min: 12.33 / Avg: 12.35 / Max: 12.39 Min: 12.22 / Avg: 12.25 / Max: 12.28 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 5K 10K 15K 20K 25K SE +/- 36.02, N = 3 SE +/- 93.46, N = 3 SE +/- 100.29, N = 3 SE +/- 88.84, N = 3 SE +/- 20.90, N = 3 SE +/- 87.55, N = 3 SE +/- 21.35, N = 3 SE +/- 96.28, N = 3 SE +/- 31.91, N = 3 SE +/- 18.81, N = 3 SE +/- 82.07, N = 3 SE +/- 11.41, N = 3 SE +/- 41.36, N = 3 SE +/- 3.65, N = 3 SE +/- 16.02, N = 3 SE +/- 28.38, N = 3 SE +/- 33.82, N = 3 SE +/- 34.49, N = 3 SE +/- 15.00, N = 3 SE +/- 11.11, N = 3 21376.10 21019.80 17243.37 16615.54 11978.84 11865.34 11782.77 11749.88 11239.19 10130.61 8849.73 8387.53 6955.53 5909.26 5717.26 4506.58 3674.27 3230.19 3032.55 3024.05 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Stress EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 4K 8K 12K 16K 20K Min: 21311.89 / Avg: 21376.1 / Max: 21436.5 Min: 20833.09 / Avg: 21019.8 / Max: 21120.92 Min: 17044.13 / Avg: 17243.37 / Max: 17363.05 Min: 16439.03 / Avg: 16615.54 / Max: 16721.45 Min: 11940.43 / Avg: 11978.84 / Max: 12012.32 Min: 11690.46 / Avg: 11865.34 / Max: 11960.53 Min: 11740.66 / Avg: 11782.77 / Max: 11809.98 Min: 11558.57 / Avg: 11749.88 / Max: 11864.54 Min: 11198.19 / Avg: 11239.19 / Max: 11302.04 Min: 10093.48 / Avg: 10130.61 / Max: 10154.39 Min: 8752.21 / Avg: 8849.73 / Max: 9012.83 Min: 8369.21 / Avg: 8387.53 / Max: 8408.46 Min: 6878.65 / Avg: 6955.53 / Max: 7020.43 Min: 5901.98 / Avg: 5909.26 / Max: 5913.34 Min: 5692.55 / Avg: 5717.26 / Max: 5747.29 Min: 4449.94 / Avg: 4506.58 / Max: 4537.94 Min: 3615.45 / Avg: 3674.27 / Max: 3732.59 Min: 3192.87 / Avg: 3230.19 / Max: 3299.1 Min: 3005.06 / Avg: 3032.55 / Max: 3056.68 Min: 3010.7 / Avg: 3024.05 / Max: 3046.1 1. (CC) gcc options: -O2 -std=gnu99 -lm -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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 16K 32K 48K 64K 80K SE +/- 107.31, N = 3 SE +/- 108.39, N = 3 SE +/- 27.43, N = 3 SE +/- 39.72, N = 3 SE +/- 66.64, N = 3 SE +/- 25.03, N = 3 SE +/- 50.84, N = 3 SE +/- 8.37, N = 3 SE +/- 99.32, N = 3 SE +/- 170.86, N = 3 SE +/- 78.29, N = 3 SE +/- 111.57, N = 3 SE +/- 17.90, N = 3 SE +/- 20.42, N = 3 SE +/- 2.73, N = 3 SE +/- 58.71, N = 3 SE +/- 20.85, N = 3 SE +/- 22.52, N = 3 SE +/- 5.36, N = 3 SE +/- 33.95, N = 3 74411 66272 61922 61138 45255 44348 44279 43396 41176 37810 34101 29439 26828 22695 22039 15594 12832 11685 11027 10441 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2 Result Confidence
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 13K 26K 39K 52K 65K Min: 74216 / Avg: 74411.33 / Max: 74586 Min: 66135 / Avg: 66272 / Max: 66486 Min: 61891 / Avg: 61922.33 / Max: 61977 Min: 61064 / Avg: 61138 / Max: 61200 Min: 45181 / Avg: 45255 / Max: 45388 Min: 44298 / Avg: 44348 / Max: 44375 Min: 44202 / Avg: 44279 / Max: 44375 Min: 43382 / Avg: 43396.33 / Max: 43411 Min: 40978 / Avg: 41176.33 / Max: 41285 Min: 37499 / Avg: 37810.33 / Max: 38088 Min: 34015 / Avg: 34100.67 / Max: 34257 Min: 29217 / Avg: 29439.33 / Max: 29567 Min: 26793 / Avg: 26828.33 / Max: 26851 Min: 22665 / Avg: 22695 / Max: 22734 Min: 22034 / Avg: 22039.33 / Max: 22043 Min: 15480 / Avg: 15593.67 / Max: 15676 Min: 12793 / Avg: 12832.33 / Max: 12864 Min: 11640 / Avg: 11684.67 / Max: 11712 Min: 11017 / Avg: 11027.33 / Max: 11035 Min: 10374 / Avg: 10441 / Max: 10484 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K SE +/- 48.31, N = 3 SE +/- 54.79, N = 3 SE +/- 90.90, N = 3 SE +/- 57.23, N = 3 SE +/- 28.23, N = 3 SE +/- 15.94, N = 3 SE +/- 24.82, N = 3 SE +/- 12.96, N = 3 SE +/- 29.25, N = 3 SE +/- 30.11, N = 3 SE +/- 20.42, N = 3 SE +/- 25.21, N = 3 SE +/- 137.58, N = 3 SE +/- 18.89, N = 3 SE +/- 13.79, N = 3 SE +/- 17.03, N = 3 SE +/- 34.12, N = 3 SE +/- 5.72, N = 3 SE +/- 15.12, N = 3 SE +/- 13.61, N = 3 147145.81 146423.18 123965.62 123029.76 96854.95 89843.27 89791.60 87239.10 82555.86 79756.26 73241.35 63293.53 58522.66 49828.66 46844.14 35923.30 29153.01 25324.35 24167.85 23857.54 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread Result Confidence
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K Min: 147064.91 / Avg: 147145.81 / Max: 147232.02 Min: 146314.98 / Avg: 146423.18 / Max: 146492.38 Min: 123874.35 / Avg: 123965.62 / Max: 124147.41 Min: 122953.6 / Avg: 123029.76 / Max: 123141.84 Min: 96817.27 / Avg: 96854.95 / Max: 96910.2 Min: 89812.09 / Avg: 89843.27 / Max: 89864.64 Min: 89743.86 / Avg: 89791.6 / Max: 89827.23 Min: 87214.38 / Avg: 87239.1 / Max: 87258.21 Min: 82521.84 / Avg: 82555.86 / Max: 82614.09 Min: 79706.26 / Avg: 79756.26 / Max: 79810.34 Min: 73200.79 / Avg: 73241.35 / Max: 73265.78 Min: 63244.31 / Avg: 63293.53 / Max: 63327.58 Min: 58360.01 / Avg: 58522.66 / Max: 58796.19 Min: 49793.43 / Avg: 49828.66 / Max: 49858.12 Min: 46826.92 / Avg: 46844.14 / Max: 46871.41 Min: 35891.06 / Avg: 35923.3 / Max: 35948.91 Min: 29096.71 / Avg: 29153.01 / Max: 29214.55 Min: 25312.96 / Avg: 25324.35 / Max: 25330.81 Min: 24150.37 / Avg: 24167.85 / Max: 24197.95 Min: 23830.34 / Avg: 23857.54 / Max: 23872.07 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: NUMA EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 5.03, N = 3 SE +/- 2.39, N = 3 SE +/- 4.53, N = 3 SE +/- 4.10, N = 3 SE +/- 4.13, N = 3 SE +/- 0.34, N = 3 SE +/- 0.71, N = 3 SE +/- 2.78, N = 3 SE +/- 0.23, N = 3 SE +/- 0.86, N = 3 SE +/- 3.07, N = 3 SE +/- 2.33, N = 3 SE +/- 0.27, N = 3 SE +/- 0.19, N = 3 SE +/- 0.32, N = 3 SE +/- 0.20, N = 3 SE +/- 0.90, N = 3 SE +/- 0.12, N = 3 SE +/- 1.02, N = 3 SE +/- 0.74, N = 3 1120.67 1099.57 942.93 928.80 718.59 677.26 677.19 661.64 624.86 587.94 542.30 480.83 424.32 358.21 346.53 257.99 209.03 182.67 173.04 169.35 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: NUMA EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1113.59 / Avg: 1120.67 / Max: 1130.41 Min: 1095.06 / Avg: 1099.57 / Max: 1103.18 Min: 933.87 / Avg: 942.93 / Max: 947.76 Min: 923.85 / Avg: 928.8 / Max: 936.93 Min: 710.47 / Avg: 718.59 / Max: 723.95 Min: 676.7 / Avg: 677.26 / Max: 677.88 Min: 676.36 / Avg: 677.19 / Max: 678.59 Min: 658.47 / Avg: 661.64 / Max: 667.18 Min: 624.58 / Avg: 624.86 / Max: 625.31 Min: 587.03 / Avg: 587.94 / Max: 589.65 Min: 538.27 / Avg: 542.3 / Max: 548.34 Min: 477.89 / Avg: 480.83 / Max: 485.42 Min: 423.84 / Avg: 424.32 / Max: 424.79 Min: 357.94 / Avg: 358.21 / Max: 358.57 Min: 345.97 / Avg: 346.53 / Max: 347.07 Min: 257.74 / Avg: 257.99 / Max: 258.38 Min: 207.24 / Avg: 209.03 / Max: 210.15 Min: 182.43 / Avg: 182.67 / Max: 182.8 Min: 171.01 / Avg: 173.04 / Max: 174.18 Min: 167.87 / Avg: 169.35 / Max: 170.21 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MEMFD EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 200 400 600 800 1000 SE +/- 1.72, N = 3 SE +/- 0.42, N = 3 SE +/- 0.94, N = 3 SE +/- 0.40, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.51, N = 3 SE +/- 0.56, N = 3 SE +/- 1.30, N = 3 SE +/- 0.34, N = 3 SE +/- 0.30, N = 3 SE +/- 0.04, N = 3 SE +/- 1.22, N = 3 SE +/- 0.52, N = 3 SE +/- 0.53, N = 3 SE +/- 0.96, N = 3 SE +/- 1.03, N = 3 SE +/- 0.74, N = 3 SE +/- 0.38, N = 3 SE +/- 0.17, N = 3 986.80 983.70 872.77 858.84 840.30 836.01 833.75 823.81 792.81 746.29 739.98 707.49 695.56 649.31 644.30 600.90 442.25 442.13 435.36 402.93 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MEMFD EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7262 200 400 600 800 1000 Min: 983.37 / Avg: 986.8 / Max: 988.57 Min: 983.26 / Avg: 983.7 / Max: 984.54 Min: 870.9 / Avg: 872.77 / Max: 873.71 Min: 858.1 / Avg: 858.84 / Max: 859.49 Min: 840.11 / Avg: 840.3 / Max: 840.42 Min: 835.58 / Avg: 836.01 / Max: 836.35 Min: 832.87 / Avg: 833.75 / Max: 834.62 Min: 823.23 / Avg: 823.81 / Max: 824.93 Min: 790.21 / Avg: 792.81 / Max: 794.15 Min: 745.85 / Avg: 746.29 / Max: 746.96 Min: 739.39 / Avg: 739.98 / Max: 740.39 Min: 707.4 / Avg: 707.49 / Max: 707.54 Min: 693.24 / Avg: 695.56 / Max: 697.37 Min: 648.31 / Avg: 649.31 / Max: 650.07 Min: 643.63 / Avg: 644.3 / Max: 645.36 Min: 599.4 / Avg: 600.9 / Max: 602.68 Min: 440.2 / Avg: 442.25 / Max: 443.38 Min: 441.37 / Avg: 442.13 / Max: 443.6 Min: 434.92 / Avg: 435.36 / Max: 436.11 Min: 402.6 / Avg: 402.93 / Max: 403.13 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying EPYC 7642 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7302P EPYC 7552 EPYC 7272 EPYC 7252 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7282 EPYC 7F52 EPYC 7F32 EPYC 7262 EPYC 7232P 4K 8K 12K 16K 20K SE +/- 124.38, N = 3 SE +/- 25.22, N = 3 SE +/- 41.62, N = 3 SE +/- 40.62, N = 3 SE +/- 78.70, N = 3 SE +/- 49.56, N = 3 SE +/- 94.64, N = 3 SE +/- 29.43, N = 3 SE +/- 41.28, N = 3 SE +/- 135.36, N = 3 SE +/- 61.54, N = 3 SE +/- 14.92, N = 3 SE +/- 14.74, N = 3 SE +/- 19.95, N = 3 SE +/- 32.09, N = 3 SE +/- 38.10, N = 3 SE +/- 67.68, N = 3 SE +/- 23.96, N = 3 SE +/- 33.10, N = 3 SE +/- 59.34, N = 3 16521.40 16128.64 12720.29 11346.95 11078.38 11015.81 10647.64 10289.09 10123.73 10100.28 8907.48 7802.82 7761.44 7700.23 7605.32 7481.74 7434.42 6202.90 5960.35 5237.68 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying EPYC 7642 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7302P EPYC 7552 EPYC 7272 EPYC 7252 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7282 EPYC 7F52 EPYC 7F32 EPYC 7262 EPYC 7232P 3K 6K 9K 12K 15K Min: 16299.62 / Avg: 16521.4 / Max: 16729.86 Min: 16087.02 / Avg: 16128.64 / Max: 16174.13 Min: 12641.78 / Avg: 12720.29 / Max: 12783.5 Min: 11276.08 / Avg: 11346.95 / Max: 11416.79 Min: 10989.75 / Avg: 11078.38 / Max: 11235.33 Min: 10929.71 / Avg: 11015.81 / Max: 11101.4 Min: 10468.89 / Avg: 10647.64 / Max: 10790.93 Min: 10238.06 / Avg: 10289.09 / Max: 10340.01 Min: 10042.08 / Avg: 10123.73 / Max: 10175.2 Min: 9846 / Avg: 10100.28 / Max: 10307.87 Min: 8795.57 / Avg: 8907.48 / Max: 9007.82 Min: 7787.89 / Avg: 7802.82 / Max: 7832.66 Min: 7744.12 / Avg: 7761.44 / Max: 7790.75 Min: 7668.41 / Avg: 7700.23 / Max: 7737 Min: 7541.26 / Avg: 7605.32 / Max: 7640.63 Min: 7424.73 / Avg: 7481.74 / Max: 7554.04 Min: 7303.88 / Avg: 7434.42 / Max: 7530.67 Min: 6166.89 / Avg: 6202.9 / Max: 6248.29 Min: 5911.46 / Avg: 5960.35 / Max: 6023.44 Min: 5157.6 / Avg: 5237.68 / Max: 5353.58 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K SE +/- 6.05, N = 3 SE +/- 10.21, N = 3 SE +/- 13.57, N = 3 SE +/- 8.63, N = 3 SE +/- 9.87, N = 3 SE +/- 1.37, N = 3 SE +/- 15.42, N = 3 SE +/- 9.13, N = 3 SE +/- 10.96, N = 3 SE +/- 6.75, N = 3 SE +/- 7.88, N = 3 SE +/- 6.01, N = 3 SE +/- 2.83, N = 3 SE +/- 5.14, N = 3 SE +/- 5.50, N = 3 SE +/- 4.50, N = 3 SE +/- 3.01, N = 3 SE +/- 0.52, N = 3 SE +/- 2.12, N = 3 SE +/- 3.27, N = 3 12124.64 12001.39 10062.21 10001.40 7737.59 7300.94 7283.56 7099.54 6720.45 6326.59 5832.21 5143.78 4581.63 3885.41 3772.31 2797.70 2267.19 1970.61 1858.39 1857.42 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K Min: 12118.46 / Avg: 12124.64 / Max: 12136.74 Min: 11981.26 / Avg: 12001.39 / Max: 12014.46 Min: 10045.71 / Avg: 10062.21 / Max: 10089.11 Min: 9984.14 / Avg: 10001.4 / Max: 10010.03 Min: 7722.55 / Avg: 7737.59 / Max: 7756.19 Min: 7298.23 / Avg: 7300.94 / Max: 7302.61 Min: 7252.79 / Avg: 7283.56 / Max: 7300.75 Min: 7081.47 / Avg: 7099.54 / Max: 7110.88 Min: 6708.43 / Avg: 6720.45 / Max: 6742.34 Min: 6314.69 / Avg: 6326.59 / Max: 6338.06 Min: 5816.65 / Avg: 5832.21 / Max: 5842.15 Min: 5132.13 / Avg: 5143.78 / Max: 5152.17 Min: 4576.02 / Avg: 4581.63 / Max: 4585.09 Min: 3878.04 / Avg: 3885.41 / Max: 3895.31 Min: 3761.72 / Avg: 3772.31 / Max: 3780.18 Min: 2789 / Avg: 2797.7 / Max: 2804.07 Min: 2261.27 / Avg: 2267.19 / Max: 2271.11 Min: 1970.01 / Avg: 1970.61 / Max: 1971.64 Min: 1854.15 / Avg: 1858.39 / Max: 1860.71 Min: 1850.88 / Avg: 1857.42 / Max: 1860.74 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MMAP EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7262 200 400 600 800 1000 SE +/- 1.24, N = 3 SE +/- 0.14, N = 3 SE +/- 1.69, N = 3 SE +/- 3.65, N = 3 SE +/- 1.84, N = 3 SE +/- 1.49, N = 3 SE +/- 0.49, N = 3 SE +/- 2.15, N = 3 SE +/- 0.86, N = 3 SE +/- 0.44, N = 3 SE +/- 0.29, N = 3 SE +/- 1.19, N = 3 SE +/- 0.99, N = 3 SE +/- 0.37, N = 3 SE +/- 0.91, N = 3 SE +/- 0.75, N = 3 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.44, N = 3 SE +/- 0.48, N = 3 922.75 904.46 700.86 679.67 483.78 482.08 481.77 474.52 448.37 363.24 352.52 344.22 252.79 230.59 228.74 186.52 118.38 116.86 115.82 111.22 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MMAP EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7262 160 320 480 640 800 Min: 920.64 / Avg: 922.75 / Max: 924.95 Min: 904.23 / Avg: 904.46 / Max: 904.72 Min: 697.7 / Avg: 700.86 / Max: 703.5 Min: 673.23 / Avg: 679.67 / Max: 685.86 Min: 481.18 / Avg: 483.78 / Max: 487.34 Min: 479.91 / Avg: 482.08 / Max: 484.94 Min: 481.21 / Avg: 481.77 / Max: 482.74 Min: 470.58 / Avg: 474.52 / Max: 477.98 Min: 447.48 / Avg: 448.37 / Max: 450.08 Min: 362.51 / Avg: 363.24 / Max: 364.04 Min: 351.94 / Avg: 352.52 / Max: 352.84 Min: 341.85 / Avg: 344.22 / Max: 345.65 Min: 250.98 / Avg: 252.79 / Max: 254.38 Min: 229.85 / Avg: 230.59 / Max: 231.04 Min: 226.95 / Avg: 228.74 / Max: 229.95 Min: 185.02 / Avg: 186.52 / Max: 187.35 Min: 118.19 / Avg: 118.38 / Max: 118.69 Min: 116.48 / Avg: 116.86 / Max: 117.39 Min: 115.15 / Avg: 115.82 / Max: 116.65 Min: 110.53 / Avg: 111.22 / Max: 112.15 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: SENDFILE EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K SE +/- 2400.08, N = 3 SE +/- 2560.60, N = 3 SE +/- 662.65, N = 3 SE +/- 2646.60, N = 3 SE +/- 793.66, N = 3 SE +/- 1517.69, N = 3 SE +/- 1346.26, N = 3 SE +/- 275.01, N = 3 SE +/- 1084.86, N = 3 SE +/- 2361.40, N = 3 SE +/- 1231.54, N = 3 SE +/- 930.38, N = 3 SE +/- 1205.14, N = 3 SE +/- 275.65, N = 3 SE +/- 603.89, N = 3 SE +/- 115.16, N = 3 SE +/- 212.03, N = 3 SE +/- 19.09, N = 3 SE +/- 157.51, N = 3 SE +/- 115.43, N = 3 641928.60 637854.00 537342.45 528168.36 429545.18 414301.15 410519.36 392610.75 387824.66 375286.56 336284.14 295072.85 271798.18 233355.09 227661.36 175151.29 142120.89 123755.93 116309.56 116199.55 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: SENDFILE EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 110K 220K 330K 440K 550K Min: 637432.56 / Avg: 641928.6 / Max: 645632.79 Min: 633035.51 / Avg: 637854 / Max: 641765.47 Min: 536191.54 / Avg: 537342.45 / Max: 538486.99 Min: 523031.78 / Avg: 528168.36 / Max: 531843.49 Min: 428623.54 / Avg: 429545.18 / Max: 431125.21 Min: 411702.04 / Avg: 414301.15 / Max: 416958.52 Min: 408885.28 / Avg: 410519.36 / Max: 413189.67 Min: 392079.84 / Avg: 392610.75 / Max: 393000.66 Min: 386429 / Avg: 387824.66 / Max: 389961.2 Min: 371348.45 / Avg: 375286.56 / Max: 379513.3 Min: 334098.38 / Avg: 336284.14 / Max: 338360.35 Min: 293884.4 / Avg: 295072.85 / Max: 296907.04 Min: 270479.97 / Avg: 271798.18 / Max: 274204.81 Min: 233029.99 / Avg: 233355.09 / Max: 233903.24 Min: 226946.22 / Avg: 227661.36 / Max: 228861.82 Min: 174995.49 / Avg: 175151.29 / Max: 175376.09 Min: 141814.3 / Avg: 142120.89 / Max: 142527.91 Min: 123733.99 / Avg: 123755.93 / Max: 123793.96 Min: 116098.13 / Avg: 116309.56 / Max: 116617.51 Min: 116002.14 / Avg: 116199.55 / Max: 116401.9 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Atomic EPYC 7F52 EPYC 7F32 EPYC 7262 EPYC 7402P EPYC 7642 EPYC 7272 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7252 EPYC 7302P EPYC 7532 EPYC 7232P 110K 220K 330K 440K 550K SE +/- 454.86, N = 3 SE +/- 151.23, N = 3 SE +/- 317.40, N = 3 SE +/- 5200.29, N = 3 SE +/- 2100.86, N = 3 SE +/- 553.73, N = 3 SE +/- 5397.86, N = 3 SE +/- 4362.99, N = 3 SE +/- 4653.97, N = 3 SE +/- 1968.01, N = 3 SE +/- 1889.52, N = 3 SE +/- 3875.11, N = 3 SE +/- 2254.42, N = 3 SE +/- 1069.53, N = 3 SE +/- 153.43, N = 3 SE +/- 296.51, N = 3 SE +/- 333.77, N = 3 SE +/- 387.43, N = 3 SE +/- 526.59, N = 3 SE +/- 988.10, N = 3 509785.83 509178.11 442279.44 434178.88 424385.84 416979.46 408037.40 406779.77 406722.26 403206.36 402875.35 400360.82 399369.85 394488.53 387954.79 365769.88 338725.99 337766.57 335428.63 289487.99 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Atomic EPYC 7F52 EPYC 7F32 EPYC 7262 EPYC 7402P EPYC 7642 EPYC 7272 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7252 EPYC 7302P EPYC 7532 EPYC 7232P 90K 180K 270K 360K 450K Min: 509318.56 / Avg: 509785.83 / Max: 510695.43 Min: 508921.37 / Avg: 509178.11 / Max: 509444.95 Min: 441671.08 / Avg: 442279.44 / Max: 442740.63 Min: 424348.06 / Avg: 434178.88 / Max: 442034.56 Min: 420677.52 / Avg: 424385.84 / Max: 427950.88 Min: 416080.83 / Avg: 416979.46 / Max: 417989.3 Min: 398157.78 / Avg: 408037.4 / Max: 416746.25 Min: 398632.17 / Avg: 406779.77 / Max: 413559.03 Min: 397939.88 / Avg: 406722.26 / Max: 413783.79 Min: 399300.05 / Avg: 403206.36 / Max: 405577.63 Min: 399272.4 / Avg: 402875.35 / Max: 405664.23 Min: 392650.92 / Avg: 400360.82 / Max: 404899.47 Min: 395001.31 / Avg: 399369.85 / Max: 402520.6 Min: 392385.92 / Avg: 394488.53 / Max: 395880.4 Min: 387663.63 / Avg: 387954.79 / Max: 388184.29 Min: 365364.92 / Avg: 365769.88 / Max: 366347.54 Min: 338338.48 / Avg: 338725.99 / Max: 339390.48 Min: 337027.91 / Avg: 337766.57 / Max: 338338.6 Min: 334600.86 / Avg: 335428.63 / Max: 336406.41 Min: 287852.67 / Avg: 289487.99 / Max: 291266.56 1. (CC) gcc options: -O2 -std=gnu99 -lm -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 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40K 80K 120K 160K 200K SE +/- 430.58, N = 3 SE +/- 261.22, N = 3 SE +/- 471.06, N = 3 SE +/- 811.81, N = 3 SE +/- 535.34, N = 3 SE +/- 354.61, N = 3 SE +/- 1080.49, N = 3 SE +/- 392.03, N = 3 SE +/- 135.20, N = 3 SE +/- 205.68, N = 3 SE +/- 155.82, N = 3 SE +/- 200.02, N = 3 SE +/- 311.46, N = 3 SE +/- 159.97, N = 3 SE +/- 66.43, N = 3 SE +/- 56.60, N = 3 SE +/- 88.23, N = 3 SE +/- 148.50, N = 3 SE +/- 39.70, N = 3 SE +/- 70.70, N = 3 178073.14 177538.11 151931.12 149827.50 120546.41 111016.59 110937.29 108030.59 101602.76 101096.15 91534.93 79169.26 75406.32 63181.99 58509.29 46353.74 38372.40 33377.45 31460.75 31420.05 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K Min: 177510.03 / Avg: 178073.14 / Max: 178918.95 Min: 177029.44 / Avg: 177538.11 / Max: 177895.63 Min: 151052.76 / Avg: 151931.12 / Max: 152665.37 Min: 148869.56 / Avg: 149827.5 / Max: 151441.76 Min: 119657.67 / Avg: 120546.41 / Max: 121507.85 Min: 110444.66 / Avg: 111016.59 / Max: 111665.76 Min: 109225.78 / Avg: 110937.29 / Max: 112935.61 Min: 107251.11 / Avg: 108030.59 / Max: 108493.62 Min: 101390.5 / Avg: 101602.76 / Max: 101853.95 Min: 100694.73 / Avg: 101096.15 / Max: 101374.73 Min: 91331.78 / Avg: 91534.93 / Max: 91841.16 Min: 78895.81 / Avg: 79169.26 / Max: 79558.86 Min: 75087.8 / Avg: 75406.32 / Max: 76029.19 Min: 62930.24 / Avg: 63181.99 / Max: 63478.86 Min: 58381.23 / Avg: 58509.29 / Max: 58603.95 Min: 46240.55 / Avg: 46353.74 / Max: 46410.96 Min: 38216.05 / Avg: 38372.4 / Max: 38521.42 Min: 33134.13 / Avg: 33377.45 / Max: 33646.61 Min: 31408.37 / Avg: 31460.75 / Max: 31538.63 Min: 31287.32 / Avg: 31420.05 / Max: 31528.62 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K SE +/- 20.23, N = 3 SE +/- 99.95, N = 3 SE +/- 99.71, N = 3 SE +/- 130.50, N = 3 SE +/- 27.89, N = 3 SE +/- 28.81, N = 3 SE +/- 36.22, N = 3 SE +/- 175.10, N = 3 SE +/- 30.42, N = 3 SE +/- 1.50, N = 3 SE +/- 24.57, N = 3 SE +/- 150.74, N = 3 SE +/- 53.13, N = 3 SE +/- 33.67, N = 3 SE +/- 6.33, N = 3 SE +/- 113.89, N = 3 SE +/- 49.91, N = 3 SE +/- 9.64, N = 3 SE +/- 8.48, N = 3 SE +/- 36.64, N = 3 19463.86 19039.37 18133.98 17296.84 15411.07 14448.04 14442.21 14049.76 13412.97 12692.91 12003.26 11202.38 9368.26 8429.01 8104.19 6799.13 5244.21 4698.64 4485.46 4400.48 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K Min: 19434.91 / Avg: 19463.86 / Max: 19502.82 Min: 18849.83 / Avg: 19039.37 / Max: 19189.15 Min: 17935.45 / Avg: 18133.98 / Max: 18249.55 Min: 17069.15 / Avg: 17296.84 / Max: 17521.19 Min: 15360.66 / Avg: 15411.07 / Max: 15456.97 Min: 14397.87 / Avg: 14448.04 / Max: 14497.67 Min: 14373.73 / Avg: 14442.21 / Max: 14496.92 Min: 13699.8 / Avg: 14049.76 / Max: 14235.86 Min: 13355.04 / Avg: 13412.97 / Max: 13458.06 Min: 12689.93 / Avg: 12692.91 / Max: 12694.72 Min: 11955.06 / Avg: 12003.26 / Max: 12035.6 Min: 10906.58 / Avg: 11202.38 / Max: 11400.71 Min: 9270.87 / Avg: 9368.26 / Max: 9453.78 Min: 8367.15 / Avg: 8429.01 / Max: 8482.97 Min: 8091.91 / Avg: 8104.19 / Max: 8112.97 Min: 6585.28 / Avg: 6799.13 / Max: 6973.97 Min: 5145.21 / Avg: 5244.21 / Max: 5304.74 Min: 4682.49 / Avg: 4698.64 / Max: 4715.82 Min: 4470.63 / Avg: 4485.46 / Max: 4499.99 Min: 4356.82 / Avg: 4400.48 / Max: 4473.28 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 90K 180K 270K 360K 450K SE +/- 358.04, N = 3 SE +/- 83.51, N = 3 SE +/- 29.41, N = 3 SE +/- 446.26, N = 3 SE +/- 23.85, N = 3 SE +/- 170.79, N = 3 SE +/- 136.87, N = 3 SE +/- 154.60, N = 3 SE +/- 241.85, N = 3 SE +/- 478.76, N = 3 SE +/- 70.64, N = 3 SE +/- 6.59, N = 3 SE +/- 49.61, N = 3 SE +/- 1.03, N = 3 SE +/- 2.57, N = 3 SE +/- 7.74, N = 3 SE +/- 5.55, N = 3 SE +/- 14.51, N = 3 SE +/- 13.07, N = 3 SE +/- 11.30, N = 3 400119.36 396445.89 331524.05 327568.79 241837.62 237835.68 237815.92 231415.93 221038.57 198355.57 183035.44 164870.78 142745.02 120965.20 117313.44 87046.58 70550.59 61366.13 57789.41 57748.24 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 70K 140K 210K 280K 350K Min: 399403.88 / Avg: 400119.36 / Max: 400502.51 Min: 396281.89 / Avg: 396445.89 / Max: 396555.31 Min: 331468.73 / Avg: 331524.05 / Max: 331569.02 Min: 327108.52 / Avg: 327568.79 / Max: 328461.17 Min: 241796.34 / Avg: 241837.62 / Max: 241878.96 Min: 237534.61 / Avg: 237835.68 / Max: 238125.95 Min: 237557.24 / Avg: 237815.92 / Max: 238022.8 Min: 231107.25 / Avg: 231415.93 / Max: 231585.92 Min: 220563.4 / Avg: 221038.57 / Max: 221354.45 Min: 197658.29 / Avg: 198355.57 / Max: 199272.52 Min: 182894.29 / Avg: 183035.44 / Max: 183111.31 Min: 164858.89 / Avg: 164870.78 / Max: 164881.64 Min: 142645.8 / Avg: 142745.02 / Max: 142795.63 Min: 120963.15 / Avg: 120965.2 / Max: 120966.42 Min: 117308.69 / Avg: 117313.44 / Max: 117317.53 Min: 87038.08 / Avg: 87046.58 / Max: 87062.04 Min: 70544.38 / Avg: 70550.59 / Max: 70561.67 Min: 61337.3 / Avg: 61366.13 / Max: 61383.41 Min: 57765.31 / Avg: 57789.41 / Max: 57810.22 Min: 57729.89 / Avg: 57748.24 / Max: 57768.83 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Semaphores EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 2M 4M 6M 8M 10M SE +/- 36035.92, N = 3 SE +/- 8815.15, N = 3 SE +/- 17764.90, N = 3 SE +/- 7510.98, N = 3 SE +/- 33103.80, N = 3 SE +/- 6229.17, N = 3 SE +/- 20238.04, N = 3 SE +/- 4978.84, N = 3 SE +/- 25409.49, N = 3 SE +/- 4355.00, N = 3 SE +/- 15685.26, N = 3 SE +/- 2929.41, N = 3 SE +/- 10192.76, N = 3 SE +/- 2401.91, N = 3 SE +/- 3591.62, N = 3 SE +/- 1404.08, N = 3 SE +/- 643.25, N = 3 SE +/- 699.96, N = 3 SE +/- 2002.32, N = 3 SE +/- 1503.17, N = 3 8774129.37 8681304.25 6519097.16 6435677.98 4395637.93 4389847.95 4372996.35 4353954.55 4353781.68 3398307.36 3235018.08 3189832.78 2296867.17 2217376.84 2155404.24 1655038.96 1123267.36 1081706.29 1081054.66 1068384.20 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Semaphores EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 1.5M 3M 4.5M 6M 7.5M Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77 Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81 Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92 Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17 Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82 Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29 Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54 Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14 Min: 4316973 / Avg: 4353781.68 / Max: 4402530.17 Min: 3392892.99 / Avg: 3398307.36 / Max: 3406923.14 Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1 Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61 Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82 Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04 Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17 Min: 1652768.13 / Avg: 1655038.96 / Max: 1657605.05 Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77 Min: 1080345.15 / Avg: 1081706.29 / Max: 1082670.26 Min: 1077860.45 / Avg: 1081054.66 / Max: 1084743.56 Min: 1066535.45 / Avg: 1068384.2 / Max: 1071361.67 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.0362, N = 3 SE +/- 0.0763, N = 3 SE +/- 0.0717, N = 3 SE +/- 0.3207, N = 3 SE +/- 0.2017, N = 3 SE +/- 0.1490, N = 3 SE +/- 0.3906, N = 3 SE +/- 0.3156, N = 3 SE +/- 0.2284, N = 3 SE +/- 0.2780, N = 3 SE +/- 0.2726, N = 3 SE +/- 0.1182, N = 3 SE +/- 0.2322, N = 3 SE +/- 0.0257, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0506, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.0609, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0263, N = 3 52.1229 51.6425 47.4349 46.8396 36.9981 35.0480 35.0164 33.7127 33.2007 30.0839 28.7777 25.2623 21.3898 19.1386 18.4925 14.0144 10.5068 9.6834 9.3926 9.2306 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 52.07 / Avg: 52.12 / Max: 52.19 Min: 51.55 / Avg: 51.64 / Max: 51.79 Min: 47.31 / Avg: 47.43 / Max: 47.56 Min: 46.3 / Avg: 46.84 / Max: 47.41 Min: 36.6 / Avg: 37 / Max: 37.24 Min: 34.78 / Avg: 35.05 / Max: 35.3 Min: 34.61 / Avg: 35.02 / Max: 35.8 Min: 33.09 / Avg: 33.71 / Max: 34.1 Min: 32.78 / Avg: 33.2 / Max: 33.56 Min: 29.72 / Avg: 30.08 / Max: 30.63 Min: 28.23 / Avg: 28.78 / Max: 29.09 Min: 25.06 / Avg: 25.26 / Max: 25.47 Min: 20.93 / Avg: 21.39 / Max: 21.64 Min: 19.1 / Avg: 19.14 / Max: 19.19 Min: 18.47 / Avg: 18.49 / Max: 18.53 Min: 13.92 / Avg: 14.01 / Max: 14.09 Min: 10.48 / Avg: 10.51 / Max: 10.53 Min: 9.59 / Avg: 9.68 / Max: 9.8 Min: 9.35 / Avg: 9.39 / Max: 9.43 Min: 9.18 / Avg: 9.23 / Max: 9.26
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.3470, N = 3 SE +/- 0.0882, N = 3 SE +/- 0.3010, N = 3 SE +/- 0.4040, N = 3 SE +/- 0.2618, N = 3 SE +/- 0.2760, N = 3 SE +/- 0.3034, N = 3 SE +/- 0.1971, N = 3 SE +/- 0.0606, N = 3 SE +/- 0.1842, N = 3 SE +/- 0.2494, N = 3 SE +/- 0.2541, N = 3 SE +/- 0.1347, N = 3 SE +/- 0.1895, N = 3 SE +/- 0.0341, N = 3 SE +/- 0.1343, N = 3 SE +/- 0.0285, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.0267, N = 3 SE +/- 0.0813, N = 3 53.2204 52.8060 47.4509 46.9637 37.5947 35.6826 35.5207 33.3760 33.0034 30.1365 28.4980 25.3374 21.0131 19.2865 18.6826 14.0979 10.5746 9.7040 9.4305 9.3351 Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 52.55 / Avg: 53.22 / Max: 53.72 Min: 52.67 / Avg: 52.81 / Max: 52.97 Min: 47.13 / Avg: 47.45 / Max: 48.05 Min: 46.17 / Avg: 46.96 / Max: 47.48 Min: 37.26 / Avg: 37.59 / Max: 38.11 Min: 35.13 / Avg: 35.68 / Max: 36 Min: 35.07 / Avg: 35.52 / Max: 36.1 Min: 33.1 / Avg: 33.38 / Max: 33.76 Min: 32.88 / Avg: 33 / Max: 33.08 Min: 29.94 / Avg: 30.14 / Max: 30.5 Min: 28.2 / Avg: 28.5 / Max: 28.99 Min: 25.05 / Avg: 25.34 / Max: 25.84 Min: 20.82 / Avg: 21.01 / Max: 21.27 Min: 19.05 / Avg: 19.29 / Max: 19.66 Min: 18.62 / Avg: 18.68 / Max: 18.73 Min: 13.94 / Avg: 14.1 / Max: 14.37 Min: 10.52 / Avg: 10.57 / Max: 10.61 Min: 9.69 / Avg: 9.7 / Max: 9.72 Min: 9.38 / Avg: 9.43 / Max: 9.46 Min: 9.19 / Avg: 9.34 / Max: 9.48
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7252 200 400 600 800 1000 SE +/- 2.32, N = 3 SE +/- 3.65, N = 3 SE +/- 5.55, N = 3 SE +/- 3.24, N = 3 SE +/- 1.08, N = 3 SE +/- 2.47, N = 3 SE +/- 0.68, N = 3 SE +/- 1.78, N = 3 SE +/- 0.46, N = 3 SE +/- 1.39, N = 3 SE +/- 0.94, N = 3 SE +/- 2.73, N = 3 SE +/- 3.48, N = 3 SE +/- 0.25, N = 3 SE +/- 3.36, N = 3 SE +/- 1.54, N = 3 SE +/- 0.28, N = 3 SE +/- 1.33, N = 3 SE +/- 2.85, N = 3 SE +/- 0.67, N = 3 956.94 906.95 905.21 881.28 873.70 872.06 872.05 871.26 867.20 866.72 863.06 856.44 843.29 842.39 835.61 817.76 798.82 796.55 796.41 775.92 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7252 200 400 600 800 1000 Min: 954.35 / Avg: 956.94 / Max: 961.56 Min: 900.97 / Avg: 906.95 / Max: 913.57 Min: 896.41 / Avg: 905.21 / Max: 915.46 Min: 875.93 / Avg: 881.28 / Max: 887.13 Min: 871.55 / Avg: 873.7 / Max: 874.99 Min: 867.84 / Avg: 872.06 / Max: 876.41 Min: 870.95 / Avg: 872.05 / Max: 873.3 Min: 867.71 / Avg: 871.26 / Max: 873.17 Min: 866.31 / Avg: 867.2 / Max: 867.82 Min: 864.02 / Avg: 866.72 / Max: 868.63 Min: 861.65 / Avg: 863.06 / Max: 864.84 Min: 853.7 / Avg: 856.44 / Max: 861.91 Min: 836.42 / Avg: 843.29 / Max: 847.7 Min: 842.05 / Avg: 842.39 / Max: 842.88 Min: 828.89 / Avg: 835.61 / Max: 839 Min: 814.69 / Avg: 817.76 / Max: 819.32 Min: 798.48 / Avg: 798.82 / Max: 799.37 Min: 794.25 / Avg: 796.55 / Max: 798.86 Min: 793.11 / Avg: 796.41 / Max: 802.09 Min: 774.9 / Avg: 775.92 / Max: 777.17 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
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 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.72, N = 5 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 76.92 76.92 66.67 66.67 53.80 50.00 50.00 47.62 45.45 45.45 41.67 35.71 33.33 29.41 27.03 21.28 17.14 15.63 14.29 14.08 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 52.63 / Avg: 53.8 / Max: 55.56 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 41.67 / Avg: 41.67 / Max: 41.67 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 21.28 / Avg: 21.28 / Max: 21.28 Min: 16.95 / Avg: 17.14 / Max: 17.24 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 14.08 / Avg: 14.08 / Max: 14.08
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: linpk EPYC 7F32 EPYC 7F52 EPYC 7262 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7282 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7702 EPYC 7272 EPYC 7642 EPYC 7252 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7662 EPYC 7232P 0.819 1.638 2.457 3.276 4.095 3.20 3.26 3.29 3.31 3.34 3.34 3.34 3.35 3.35 3.36 3.36 3.36 3.37 3.38 3.40 3.41 3.42 3.42 3.42 3.64
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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 300 600 900 1200 1500 SE +/- 2.03, N = 3 SE +/- 2.33, N = 3 SE +/- 1.53, N = 3 SE +/- 2.60, N = 3 SE +/- 2.19, N = 3 SE +/- 1.20, N = 3 SE +/- 2.40, N = 3 SE +/- 1.76, N = 3 SE +/- 2.73, N = 3 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 SE +/- 2.19, N = 3 SE +/- 2.60, N = 3 SE +/- 1.20, N = 3 SE +/- 1.00, N = 3 SE +/- 0.67, N = 3 1024 1024 1083 1179 1182 1185 1192 1192 1194 1196 1207 1210 1211 1212 1212 1245 1249 1252 1255 1263 Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 200 400 600 800 1000 Min: 1021 / Avg: 1024.33 / Max: 1028 Min: 1020 / Avg: 1023.67 / Max: 1028 Min: 1080 / Avg: 1083 / Max: 1085 Min: 1177 / Avg: 1181.67 / Max: 1186 Min: 1181 / Avg: 1185.33 / Max: 1188 Min: 1192 / Avg: 1193.67 / Max: 1196 Min: 1191 / Avg: 1195.67 / Max: 1199 Min: 1204 / Avg: 1207.33 / Max: 1210 Min: 1205 / Avg: 1210.33 / Max: 1214 Min: 1211 / Avg: 1211.67 / Max: 1213 Min: 1211 / Avg: 1212 / Max: 1213 Min: 1242 / Avg: 1244.67 / Max: 1249 Min: 1244 / Avg: 1248.67 / Max: 1253 Min: 1250 / Avg: 1252.33 / Max: 1254 Min: 1254 / Avg: 1255 / Max: 1257 Min: 1262 / Avg: 1263.33 / Max: 1264
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 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, 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 +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 22.87 23.65 24.53 26.41 26.70 26.81 26.82 26.90 26.94 27.14 27.18 27.21 27.21 27.38 28.02 28.52 28.79 28.95 30.39 30.66 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 22.85 / Avg: 22.87 / Max: 22.89 Min: 23.59 / Avg: 23.65 / Max: 23.74 Min: 24.49 / Avg: 24.53 / Max: 24.61 Min: 26.39 / Avg: 26.41 / Max: 26.44 Min: 26.66 / Avg: 26.7 / Max: 26.78 Min: 26.78 / Avg: 26.81 / Max: 26.84 Min: 26.78 / Avg: 26.82 / Max: 26.88 Min: 26.86 / Avg: 26.89 / Max: 26.93 Min: 26.9 / Avg: 26.94 / Max: 26.98 Min: 27.12 / Avg: 27.14 / Max: 27.18 Min: 27.15 / Avg: 27.18 / Max: 27.21 Min: 27.16 / Avg: 27.21 / Max: 27.25 Min: 27.17 / Avg: 27.21 / Max: 27.25 Min: 27.36 / Avg: 27.38 / Max: 27.41 Min: 27.91 / Avg: 28.02 / Max: 28.08 Min: 28.45 / Avg: 28.52 / Max: 28.58 Min: 28.59 / Avg: 28.78 / Max: 28.89 Min: 28.87 / Avg: 28.95 / Max: 29.09 Min: 30.25 / Avg: 30.39 / Max: 30.49 Min: 30.61 / Avg: 30.66 / Max: 30.73
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: 1 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 0.0734 0.1468 0.2202 0.2936 0.367 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 4 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 6 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 0.260 0.274 0.274 0.274 0.275 0.278 0.278 0.279 0.280 0.281 0.281 0.282 0.284 0.285 0.296 0.299 0.301 0.320 0.322 0.326 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: 1 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 1 2 3 4 5 Min: 0.25 / Avg: 0.26 / Max: 0.27 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.28 / Max: 0.29 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.29 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.3 Min: 0.28 / Avg: 0.29 / Max: 0.29 Min: 0.29 / Avg: 0.3 / Max: 0.3 Min: 0.28 / Avg: 0.3 / Max: 0.31 Min: 0.3 / Avg: 0.3 / Max: 0.31 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 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: 1 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7662 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7F32 EPYC 7642 EPYC 7F52 EPYC 7272 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 800 1600 2400 3200 4000 SE +/- 59.00, N = 3 SE +/- 22.27, N = 3 SE +/- 60.62, N = 3 SE +/- 23.47, N = 3 SE +/- 13.96, N = 3 SE +/- 49.87, N = 3 SE +/- 43.27, N = 3 SE +/- 32.57, N = 3 SE +/- 12.12, N = 3 SE +/- 7.61, N = 3 SE +/- 31.77, N = 3 SE +/- 7.81, N = 3 SE +/- 51.99, N = 4 SE +/- 44.26, N = 3 SE +/- 30.14, N = 3 SE +/- 40.17, N = 6 SE +/- 35.16, N = 3 SE +/- 17.06, N = 3 SE +/- 13.03, N = 3 SE +/- 28.19, N = 3 3851 3653 3652 3650 3642 3600 3599 3581 3566 3564 3558 3544 3520 3509 3379 3345 3323 3126 3103 3073 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: 1 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7282 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7662 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7F32 EPYC 7642 EPYC 7F52 EPYC 7272 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7262 EPYC 7252 700 1400 2100 2800 3500 Min: 3737.46 / Avg: 3851.01 / Max: 3935.61 Min: 3608.15 / Avg: 3652.68 / Max: 3675.87 Min: 3562.25 / Avg: 3652.05 / Max: 3767.49 Min: 3603.43 / Avg: 3650.12 / Max: 3677.68 Min: 3622.19 / Avg: 3642.31 / Max: 3669.12 Min: 3548.08 / Avg: 3600.4 / Max: 3700.1 Min: 3513.44 / Avg: 3598.6 / Max: 3654.53 Min: 3520.73 / Avg: 3580.83 / Max: 3632.65 Min: 3542.2 / Avg: 3565.68 / Max: 3582.65 Min: 3550.22 / Avg: 3563.8 / Max: 3576.56 Min: 3499.95 / Avg: 3558.37 / Max: 3609.22 Min: 3530.38 / Avg: 3543.86 / Max: 3557.44 Min: 3377.54 / Avg: 3520.45 / Max: 3610.33 Min: 3461.19 / Avg: 3509.26 / Max: 3597.67 Min: 3327.27 / Avg: 3378.61 / Max: 3431.64 Min: 3226 / Avg: 3344.74 / Max: 3521.19 Min: 3261.77 / Avg: 3322.6 / Max: 3383.57 Min: 3092.27 / Avg: 3126.06 / Max: 3147.03 Min: 3077.78 / Avg: 3103.27 / Max: 3120.74 Min: 3017.13 / Avg: 3073.27 / Max: 3105.88 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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: Water Caustic EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.30, N = 3 SE +/- 0.16, N = 3 20.70 20.77 20.83 21.23 21.28 21.33 21.38 21.71 21.74 22.12 22.32 22.41 24.35 24.59 25.14 27.72 28.87 31.37 32.31 32.82 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 7F72 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 7 14 21 28 35 Min: 20.68 / Avg: 20.7 / Max: 20.74 Min: 20.7 / Avg: 20.77 / Max: 20.81 Min: 20.75 / Avg: 20.83 / Max: 20.92 Min: 21.2 / Avg: 21.23 / Max: 21.29 Min: 21.27 / Avg: 21.28 / Max: 21.3 Min: 21.26 / Avg: 21.33 / Max: 21.41 Min: 21.28 / Avg: 21.38 / Max: 21.49 Min: 21.65 / Avg: 21.71 / Max: 21.74 Min: 21.72 / Avg: 21.74 / Max: 21.76 Min: 22.1 / Avg: 22.12 / Max: 22.15 Min: 22.3 / Avg: 22.32 / Max: 22.34 Min: 22.37 / Avg: 22.41 / Max: 22.44 Min: 24.3 / Avg: 24.35 / Max: 24.4 Min: 24.47 / Avg: 24.59 / Max: 24.66 Min: 25.11 / Avg: 25.14 / Max: 25.18 Min: 27.48 / Avg: 27.72 / Max: 28.1 Min: 28.83 / Avg: 28.87 / Max: 28.91 Min: 30.97 / Avg: 31.37 / Max: 31.63 Min: 31.9 / Avg: 32.31 / Max: 32.89 Min: 32.56 / Avg: 32.82 / Max: 33.12 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
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: 1 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7662 EPYC 7702 EPYC 7232P EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7262 10 20 30 40 50 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.47, N = 4 SE +/- 0.25, N = 3 SE +/- 0.05, N = 3 SE +/- 0.31, N = 3 SE +/- 0.09, N = 3 SE +/- 0.36, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.35, N = 3 SE +/- 0.19, N = 3 SE +/- 0.37, N = 3 SE +/- 0.29, N = 3 SE +/- 0.50, N = 3 SE +/- 0.40, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 29.32 31.08 33.29 35.99 36.18 36.59 36.64 37.11 37.20 37.50 37.53 39.52 39.62 39.79 40.06 40.77 40.78 41.41 41.83 42.98 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: 1 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7662 EPYC 7702 EPYC 7232P EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7262 9 18 27 36 45 Min: 28.97 / Avg: 29.32 / Max: 29.67 Min: 30.85 / Avg: 31.08 / Max: 31.35 Min: 33.13 / Avg: 33.29 / Max: 33.4 Min: 35.83 / Avg: 35.99 / Max: 36.25 Min: 35.48 / Avg: 36.18 / Max: 37.56 Min: 36.1 / Avg: 36.59 / Max: 36.93 Min: 36.56 / Avg: 36.64 / Max: 36.72 Min: 36.63 / Avg: 37.11 / Max: 37.68 Min: 37.09 / Avg: 37.2 / Max: 37.38 Min: 37.01 / Avg: 37.5 / Max: 38.19 Min: 37.4 / Avg: 37.53 / Max: 37.59 Min: 39.19 / Avg: 39.52 / Max: 39.7 Min: 39.23 / Avg: 39.62 / Max: 40.33 Min: 39.49 / Avg: 39.79 / Max: 40.16 Min: 39.36 / Avg: 40.06 / Max: 40.63 Min: 40.36 / Avg: 40.77 / Max: 41.32 Min: 39.78 / Avg: 40.78 / Max: 41.36 Min: 40.73 / Avg: 41.4 / Max: 42.11 Min: 41.57 / Avg: 41.83 / Max: 41.98 Min: 42.25 / Avg: 42.98 / Max: 43.7 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: 1 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7662 EPYC 7702 EPYC 7232P EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7262 700 1400 2100 2800 3500 SE +/- 24.07, N = 3 SE +/- 15.04, N = 3 SE +/- 7.30, N = 3 SE +/- 10.14, N = 3 SE +/- 35.00, N = 4 SE +/- 18.57, N = 3 SE +/- 3.48, N = 3 SE +/- 22.43, N = 3 SE +/- 6.79, N = 3 SE +/- 24.83, N = 3 SE +/- 4.52, N = 3 SE +/- 10.16, N = 3 SE +/- 22.21, N = 3 SE +/- 12.17, N = 3 SE +/- 23.27, N = 3 SE +/- 17.47, N = 3 SE +/- 30.62, N = 3 SE +/- 23.10, N = 3 SE +/- 7.36, N = 3 SE +/- 22.64, N = 3 3415 3221 3006 2780 2770 2738 2731 2697 2693 2671 2667 2535 2528 2517 2500 2457 2457 2418 2394 2328 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: 1 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7252 EPYC 7662 EPYC 7702 EPYC 7232P EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7262 600 1200 1800 2400 3000 Min: 3373.98 / Avg: 3415.45 / Max: 3457.36 Min: 3192.63 / Avg: 3220.59 / Max: 3244.19 Min: 2995.56 / Avg: 3005.63 / Max: 3019.81 Min: 2760.32 / Avg: 2780.49 / Max: 2792.45 Min: 2667.34 / Avg: 2769.78 / Max: 2823.7 Min: 2711.95 / Avg: 2737.69 / Max: 2773.75 Min: 2724.61 / Avg: 2730.99 / Max: 2736.57 Min: 2655.86 / Avg: 2697.37 / Max: 2732.85 Min: 2678.96 / Avg: 2692.53 / Max: 2699.86 Min: 2623.14 / Avg: 2671.2 / Max: 2706.08 Min: 2662.62 / Avg: 2667.31 / Max: 2676.34 Min: 2523.35 / Avg: 2534.67 / Max: 2554.94 Min: 2483.62 / Avg: 2527.96 / Max: 2552.45 Min: 2494.25 / Avg: 2516.54 / Max: 2536.14 Min: 2465.63 / Avg: 2500.49 / Max: 2544.62 Min: 2423.61 / Avg: 2456.72 / Max: 2482.93 Min: 2421.18 / Avg: 2457.42 / Max: 2518.29 Min: 2377.38 / Avg: 2418.12 / Max: 2457.35 Min: 2385.23 / Avg: 2394.11 / Max: 2408.72 Min: 2289.82 / Avg: 2328.44 / Max: 2368.24 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: 1 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7702 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7542 EPYC 7662 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7252 EPYC 7262 0.0104 0.0208 0.0312 0.0416 0.052 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.035 0.036 0.036 0.036 0.036 0.036 0.037 0.037 0.037 0.038 0.038 0.039 0.039 0.040 0.040 0.042 0.043 0.044 0.044 0.046 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: 1 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7702 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7542 EPYC 7662 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7252 EPYC 7262 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 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: 1 - Clients: 1 - Mode: Read Only EPYC 7702 EPYC 7282 EPYC 7452 EPYC 7662 EPYC 7272 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7F32 EPYC 7352 EPYC 7F52 EPYC 7F72 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7252 EPYC 7262 6K 12K 18K 24K 30K SE +/- 331.01, N = 3 SE +/- 38.55, N = 3 SE +/- 244.15, N = 3 SE +/- 291.09, N = 3 SE +/- 213.38, N = 3 SE +/- 152.92, N = 3 SE +/- 350.21, N = 4 SE +/- 237.04, N = 3 SE +/- 314.26, N = 3 SE +/- 286.26, N = 3 SE +/- 239.87, N = 3 SE +/- 131.48, N = 3 SE +/- 230.00, N = 3 SE +/- 285.78, N = 3 SE +/- 83.49, N = 3 SE +/- 151.40, N = 3 SE +/- 98.18, N = 3 SE +/- 121.60, N = 3 SE +/- 169.29, N = 3 SE +/- 33.02, N = 3 28221 28158 28092 27597 27558 27460 27450 27309 27089 26679 26337 25644 25430 25249 25032 24032 23451 22727 22534 21829 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: 1 - Clients: 1 - Mode: Read Only EPYC 7702 EPYC 7282 EPYC 7452 EPYC 7662 EPYC 7272 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7F32 EPYC 7352 EPYC 7F52 EPYC 7F72 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7252 EPYC 7262 5K 10K 15K 20K 25K Min: 27573.78 / Avg: 28221.33 / Max: 28664.34 Min: 28092.62 / Avg: 28158.38 / Max: 28226.11 Min: 27663.45 / Avg: 28092.27 / Max: 28508.95 Min: 27036.41 / Avg: 27596.92 / Max: 28013.43 Min: 27157.63 / Avg: 27558.06 / Max: 27886.05 Min: 27243.42 / Avg: 27460.47 / Max: 27755.6 Min: 26711.61 / Avg: 27449.98 / Max: 28327.42 Min: 26918.38 / Avg: 27308.99 / Max: 27736.97 Min: 26753.58 / Avg: 27089.36 / Max: 27717.37 Min: 26360.32 / Avg: 26678.72 / Max: 27249.99 Min: 25860.1 / Avg: 26337.19 / Max: 26619.37 Min: 25466.37 / Avg: 25644.39 / Max: 25901 Min: 25055.95 / Avg: 25429.68 / Max: 25848.82 Min: 24734.57 / Avg: 25249.37 / Max: 25721.82 Min: 24930.7 / Avg: 25031.81 / Max: 25197.44 Min: 23806.11 / Avg: 24031.52 / Max: 24319.31 Min: 23322.1 / Avg: 23450.61 / Max: 23643.44 Min: 22577.93 / Avg: 22726.96 / Max: 22967.91 Min: 22204.48 / Avg: 22534.1 / Max: 22765.92 Min: 21781.12 / Avg: 21828.7 / Max: 21892.14 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: 1 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 0.063 0.126 0.189 0.252 0.315 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 +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 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 0.064 0.066 0.071 0.076 0.079 0.086 0.093 0.098 0.098 0.099 0.100 0.104 0.127 0.145 0.149 0.194 0.238 0.273 0.278 0.280 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: 1 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 1 2 3 4 5 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.12 / 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: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.27 / Avg: 0.27 / Max: 0.27 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 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: 1 - Clients: 50 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 200K 400K 600K 800K 1000K SE +/- 4185.25, N = 3 SE +/- 2327.18, N = 3 SE +/- 4606.47, N = 3 SE +/- 774.72, N = 3 SE +/- 5262.76, N = 3 SE +/- 634.95, N = 3 SE +/- 3763.31, N = 3 SE +/- 4110.48, N = 3 SE +/- 5976.20, N = 3 SE +/- 2812.71, N = 3 SE +/- 1956.29, N = 3 SE +/- 1722.05, N = 3 SE +/- 5158.94, N = 4 SE +/- 412.90, N = 3 SE +/- 3586.19, N = 3 SE +/- 1323.33, N = 3 SE +/- 760.23, N = 3 SE +/- 266.25, N = 3 SE +/- 751.04, N = 3 SE +/- 609.77, N = 3 785917 757534 701580 656678 634561 582296 537605 510664 508910 506342 500818 481548 394967 345027 336368 257573 210214 183458 180148 178695 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: 1 - Clients: 50 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 140K 280K 420K 560K 700K Min: 780235.38 / Avg: 785916.8 / Max: 794081.04 Min: 753723.52 / Avg: 757534.07 / Max: 761753.9 Min: 696000.94 / Avg: 701579.61 / Max: 710718.54 Min: 655132.62 / Avg: 656678.07 / Max: 657547.1 Min: 624142.08 / Avg: 634561 / Max: 641064.42 Min: 581229 / Avg: 582296.11 / Max: 583425.84 Min: 533339.97 / Avg: 537605.07 / Max: 545108.31 Min: 505127.29 / Avg: 510664.49 / Max: 518695.49 Min: 502276.92 / Avg: 508909.53 / Max: 520836.94 Min: 500795.59 / Avg: 506341.5 / Max: 509930.62 Min: 497670.11 / Avg: 500818.18 / Max: 504404.28 Min: 478206.73 / Avg: 481547.66 / Max: 483942.66 Min: 385982.64 / Avg: 394967.22 / Max: 408822.68 Min: 344295.55 / Avg: 345027.02 / Max: 345724.67 Min: 329201.77 / Avg: 336367.81 / Max: 340212.2 Min: 256160.28 / Avg: 257573.06 / Max: 260217.66 Min: 208973.57 / Avg: 210214.04 / Max: 211595.71 Min: 183091.48 / Avg: 183458.35 / Max: 183976.04 Min: 178655.05 / Avg: 180147.65 / Max: 181039.86 Min: 177644.71 / Avg: 178695.44 / Max: 179756.92 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Go Benchmarks Benchmark for monitoring real time performance of the Go implementation for HTTP, JSON and garbage testing per iteration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7282 EPYC 7532 EPYC 7252 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7232P EPYC 7702 EPYC 7352 EPYC 7662 6000M 12000M 18000M 24000M 30000M SE +/- 199580423.82, N = 3 SE +/- 162622849.80, N = 3 SE +/- 150437988.79, N = 3 SE +/- 286988667.50, N = 3 SE +/- 221045514.68, N = 3 SE +/- 270641509.43, N = 3 SE +/- 257688840.28, N = 3 SE +/- 382431111.51, N = 3 SE +/- 319930671.11, N = 3 SE +/- 260349467.99, N = 3 SE +/- 262528887.35, N = 3 SE +/- 371050761.61, N = 3 SE +/- 314647678.30, N = 3 SE +/- 252259078.21, N = 3 SE +/- 277727800.92, N = 3 SE +/- 264303439.24, N = 3 SE +/- 403725574.05, N = 3 SE +/- 302020444.34, N = 3 SE +/- 405179316.78, N = 3 SE +/- 295544204.19, N = 3 21458302092 21612938632 22522673323 25036050319 25481171757 25579772126 25583041011 25830214816 25935430170 25983329425 26061132684 26413350226 26554811142 26635457359 26784839020 26811743887 26833773763 27156606176 27160653682 27371988085 Result Confidence
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7282 EPYC 7532 EPYC 7252 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7232P EPYC 7702 EPYC 7352 EPYC 7662 5000M 10000M 15000M 20000M 25000M Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278 Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507 Min: 22320233608 / Avg: 22522673322.67 / Max: 22816658288 Min: 24721687629 / Avg: 25036050319 / Max: 25609127757 Min: 25250159824 / Avg: 25481171757 / Max: 25923110678 Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612 Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369 Min: 25402613145 / Avg: 25830214816 / Max: 26593222601 Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544 Min: 25699669989 / Avg: 25983329425 / Max: 26503310607 Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633 Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051 Min: 26148149868 / Avg: 26554811141.67 / Max: 27174049750 Min: 26296989348 / Avg: 26635457358.67 / Max: 27128702910 Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021 Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361 Min: 26256594229 / Avg: 26833773762.67 / Max: 27611373608 Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778 Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664 Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082
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: 1 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.3229 0.6458 0.9687 1.2916 1.6145 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 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 +/- 0.001, 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 +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 0.237 0.241 0.274 0.276 0.341 0.367 0.368 0.398 0.402 0.415 0.451 0.522 0.557 0.650 0.702 0.898 1.082 1.230 1.316 1.435 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: 1 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.41 / Avg: 0.42 / Max: 0.42 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.31 / Avg: 1.32 / Max: 1.32 Min: 1.42 / Avg: 1.44 / Max: 1.45 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: 1 - Clients: 250 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K SE +/- 439.48, N = 3 SE +/- 3428.94, N = 3 SE +/- 2858.95, N = 3 SE +/- 3994.82, N = 3 SE +/- 163.34, N = 3 SE +/- 2101.53, N = 3 SE +/- 698.73, N = 3 SE +/- 1060.79, N = 3 SE +/- 1300.37, N = 3 SE +/- 1237.62, N = 3 SE +/- 1659.30, N = 3 SE +/- 2381.51, N = 3 SE +/- 247.10, N = 3 SE +/- 747.28, N = 3 SE +/- 983.22, N = 3 SE +/- 828.02, N = 3 SE +/- 314.41, N = 3 SE +/- 157.88, N = 3 SE +/- 385.55, N = 3 SE +/- 935.52, N = 3 1060976 1043587 914347 908863 733943 682046 680113 629507 623136 602322 554557 479150 449472 384689 356559 278597 231128 203359 190059 174275 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: 1 - Clients: 250 - Mode: Read Only EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29 Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46 Min: 910647.35 / Avg: 914347.4 / Max: 919972.73 Min: 901023.8 / Avg: 908863.23 / Max: 914118.29 Min: 733728.54 / Avg: 733942.94 / Max: 734263.61 Min: 678570.63 / Avg: 682046.07 / Max: 685830.81 Min: 679380.73 / Avg: 680112.82 / Max: 681509.73 Min: 628222.87 / Avg: 629507.42 / Max: 631611.99 Min: 620536.19 / Avg: 623136.4 / Max: 624482.31 Min: 599951.34 / Avg: 602321.79 / Max: 604124.16 Min: 551482.14 / Avg: 554557.27 / Max: 557175.36 Min: 474924.16 / Avg: 479150.29 / Max: 483165.89 Min: 449071.78 / Avg: 449472.37 / Max: 449923.29 Min: 383335.36 / Avg: 384688.76 / Max: 385914.57 Min: 354891.14 / Avg: 356559.36 / Max: 358295.09 Min: 277146.26 / Avg: 278597.12 / Max: 280014 Min: 230581.84 / Avg: 231127.53 / Max: 231670.99 Min: 203075.46 / Avg: 203358.71 / Max: 203621.17 Min: 189289.03 / Avg: 190059.49 / Max: 190471.93 Min: 172542.45 / Avg: 174274.56 / Max: 175753.34 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: 1 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7452 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7262 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 11.24 12.42 13.37 14.76 14.79 14.81 14.85 14.87 14.88 14.89 14.95 15.04 15.28 15.29 15.49 15.89 16.02 16.15 16.80 17.38 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: 1 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7452 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7262 4 8 12 16 20 Min: 11.24 / Avg: 11.24 / Max: 11.25 Min: 12.37 / Avg: 12.41 / Max: 12.44 Min: 13.31 / Avg: 13.37 / Max: 13.42 Min: 14.73 / Avg: 14.75 / Max: 14.78 Min: 14.77 / Avg: 14.79 / Max: 14.81 Min: 14.8 / Avg: 14.81 / Max: 14.83 Min: 14.76 / Avg: 14.85 / Max: 14.97 Min: 14.83 / Avg: 14.87 / Max: 14.9 Min: 14.81 / Avg: 14.88 / Max: 15.01 Min: 14.81 / Avg: 14.89 / Max: 15 Min: 14.83 / Avg: 14.95 / Max: 15.07 Min: 14.95 / Avg: 15.04 / Max: 15.1 Min: 15.2 / Avg: 15.28 / Max: 15.33 Min: 15.28 / Avg: 15.29 / Max: 15.3 Min: 15.38 / Avg: 15.49 / Max: 15.55 Min: 15.84 / Avg: 15.89 / Max: 15.98 Min: 15.91 / Avg: 16.02 / Max: 16.14 Min: 16.1 / Avg: 16.15 / Max: 16.17 Min: 16.74 / Avg: 16.8 / Max: 16.86 Min: 17.33 / Avg: 17.38 / Max: 17.42 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: 1 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7452 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7262 1000 2000 3000 4000 5000 SE +/- 1.31, N = 3 SE +/- 7.15, N = 3 SE +/- 9.36, N = 3 SE +/- 3.23, N = 3 SE +/- 2.04, N = 3 SE +/- 2.06, N = 3 SE +/- 14.10, N = 3 SE +/- 4.85, N = 3 SE +/- 15.04, N = 3 SE +/- 12.34, N = 3 SE +/- 15.99, N = 3 SE +/- 10.25, N = 3 SE +/- 9.37, N = 3 SE +/- 1.63, N = 3 SE +/- 11.57, N = 3 SE +/- 8.90, N = 3 SE +/- 13.12, N = 3 SE +/- 4.65, N = 3 SE +/- 6.14, N = 3 SE +/- 4.01, N = 3 4449 4029 3741 3390 3382 3377 3368 3364 3362 3358 3346 3327 3273 3272 3230 3147 3123 3098 2977 2878 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: 1 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7452 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7262 800 1600 2400 3200 4000 Min: 4446.99 / Avg: 4449.47 / Max: 4451.42 Min: 4020.68 / Avg: 4028.65 / Max: 4042.93 Min: 3725.9 / Avg: 3740.97 / Max: 3758.14 Min: 3383.71 / Avg: 3389.79 / Max: 3394.75 Min: 3378.64 / Avg: 3382.28 / Max: 3385.69 Min: 3373.11 / Avg: 3376.68 / Max: 3380.25 Min: 3341.38 / Avg: 3367.51 / Max: 3389.77 Min: 3356.73 / Avg: 3364.45 / Max: 3373.4 Min: 3332 / Avg: 3362.06 / Max: 3378.15 Min: 3335.68 / Avg: 3358.5 / Max: 3378.07 Min: 3318.02 / Avg: 3346.08 / Max: 3373.39 Min: 3313.45 / Avg: 3326.77 / Max: 3346.92 Min: 3262.47 / Avg: 3273.27 / Max: 3291.93 Min: 3268.78 / Avg: 3271.87 / Max: 3274.31 Min: 3216.88 / Avg: 3229.71 / Max: 3252.81 Min: 3129.71 / Avg: 3147.27 / Max: 3158.56 Min: 3098.75 / Avg: 3122.83 / Max: 3143.89 Min: 3093.05 / Avg: 3098.13 / Max: 3107.42 Min: 2967.51 / Avg: 2977.32 / Max: 2988.61 Min: 2871.61 / Avg: 2877.76 / Max: 2885.29 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: 1 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.1186 0.2372 0.3558 0.4744 0.593 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 +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, 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 +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.105 0.106 0.119 0.119 0.134 0.144 0.145 0.160 0.170 0.186 0.192 0.223 0.244 0.274 0.274 0.359 0.445 0.503 0.522 0.527 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: 1 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.18 / Avg: 0.19 / Max: 0.19 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.44 / Avg: 0.44 / Max: 0.45 Min: 0.5 / Avg: 0.5 / Max: 0.51 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.53 / Avg: 0.53 / Max: 0.53 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: 1 - Clients: 100 - Mode: Read Only EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K SE +/- 2622.87, N = 3 SE +/- 3785.97, N = 3 SE +/- 570.05, N = 3 SE +/- 1464.36, N = 3 SE +/- 574.88, N = 3 SE +/- 2586.15, N = 3 SE +/- 2789.75, N = 3 SE +/- 6473.07, N = 3 SE +/- 287.53, N = 3 SE +/- 3196.29, N = 3 SE +/- 1031.24, N = 3 SE +/- 884.69, N = 3 SE +/- 819.25, N = 3 SE +/- 2227.34, N = 3 SE +/- 1217.31, N = 3 SE +/- 637.02, N = 3 SE +/- 704.81, N = 3 SE +/- 874.00, N = 3 SE +/- 444.88, N = 3 SE +/- 87.29, N = 3 954573 947547 842042 837443 746431 692827 690889 625180 588980 538427 522618 450148 410284 364836 364724 278801 225099 199119 191561 190060 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: 1 - Clients: 100 - Mode: Read Only EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 170K 340K 510K 680K 850K Min: 949330.8 / Avg: 954572.83 / Max: 957364.51 Min: 940111.61 / Avg: 947547.37 / Max: 952503.31 Min: 841070.28 / Avg: 842041.76 / Max: 843044.24 Min: 834514.55 / Avg: 837442.79 / Max: 838952.55 Min: 745405.8 / Avg: 746431 / Max: 747394.36 Min: 690194.76 / Avg: 692827.15 / Max: 697999.18 Min: 685623.23 / Avg: 690888.85 / Max: 695119.5 Min: 612463.48 / Avg: 625180.49 / Max: 633639.01 Min: 588673.02 / Avg: 588979.95 / Max: 589554.56 Min: 532561.51 / Avg: 538427.36 / Max: 543560.87 Min: 520867.61 / Avg: 522617.98 / Max: 524437.91 Min: 448933.06 / Avg: 450147.68 / Max: 451869.24 Min: 408978.87 / Avg: 410283.57 / Max: 411794.3 Min: 360469.96 / Avg: 364836.23 / Max: 367784.14 Min: 362322.11 / Avg: 364724.07 / Max: 366269.28 Min: 277732.53 / Avg: 278800.91 / Max: 279936.18 Min: 224328.18 / Avg: 225098.69 / Max: 226506.21 Min: 197398.93 / Avg: 199119.18 / Max: 200248.01 Min: 190678.73 / Avg: 191561.09 / Max: 192101.4 Min: 189965.32 / Avg: 190060.47 / Max: 190234.8 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: ac EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7352 2 4 6 8 10 6.45 6.46 6.80 7.40 7.41 7.50 7.51 7.51 7.53 7.53 7.62 7.62 7.63 7.63 7.63 7.86 7.87 7.87 7.88 7.99
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 7F52 EPYC 7F72 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7532 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7452 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 21.12 21.71 21.84 21.89 22.09 22.44 22.45 22.50 22.50 22.52 22.56 22.62 22.99 23.54 24.49 26.16 30.46 32.94 34.04 34.95 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 7F52 EPYC 7F72 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7532 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7452 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 20.98 / Avg: 21.12 / Max: 21.25 Min: 21.62 / Avg: 21.71 / Max: 21.87 Min: 21.78 / Avg: 21.84 / Max: 21.91 Min: 21.8 / Avg: 21.89 / Max: 22.01 Min: 21.93 / Avg: 22.09 / Max: 22.28 Min: 22.27 / Avg: 22.44 / Max: 22.73 Min: 22.36 / Avg: 22.45 / Max: 22.59 Min: 22.46 / Avg: 22.5 / Max: 22.57 Min: 22.42 / Avg: 22.5 / Max: 22.59 Min: 22.4 / Avg: 22.52 / Max: 22.67 Min: 22.52 / Avg: 22.56 / Max: 22.59 Min: 22.57 / Avg: 22.62 / Max: 22.72 Min: 22.8 / Avg: 22.99 / Max: 23.09 Min: 23.46 / Avg: 23.54 / Max: 23.67 Min: 24.37 / Avg: 24.49 / Max: 24.73 Min: 25.92 / Avg: 26.16 / Max: 26.43 Min: 30.32 / Avg: 30.46 / Max: 30.59 Min: 32.82 / Avg: 32.94 / Max: 33.1 Min: 33.76 / Avg: 34.04 / Max: 34.3 Min: 34.83 / Avg: 34.95 / Max: 35.15 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 15 SE +/- 0.23, N = 3 SE +/- 0.28, N = 4 SE +/- 0.24, N = 15 SE +/- 0.01, N = 3 SE +/- 0.28, N = 3 SE +/- 0.21, N = 4 SE +/- 0.16, N = 15 SE +/- 0.00, N = 3 SE +/- 0.14, N = 6 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 27.53 27.41 24.70 23.66 19.87 19.60 18.72 18.55 16.83 14.91 14.57 13.84 13.00 11.54 11.06 8.77 7.66 6.49 6.06 5.57 Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 6 12 18 24 30 Min: 27.42 / Avg: 27.53 / Max: 27.62 Min: 27.34 / Avg: 27.41 / Max: 27.46 Min: 24.56 / Avg: 24.7 / Max: 24.8 Min: 22 / Avg: 23.66 / Max: 25.03 Min: 19.63 / Avg: 19.87 / Max: 20.32 Min: 18.81 / Avg: 19.6 / Max: 20.07 Min: 16.88 / Avg: 18.72 / Max: 19.81 Min: 18.53 / Avg: 18.55 / Max: 18.57 Min: 16.43 / Avg: 16.83 / Max: 17.36 Min: 14.66 / Avg: 14.91 / Max: 15.55 Min: 13.77 / Avg: 14.57 / Max: 15.9 Min: 13.83 / Avg: 13.84 / Max: 13.84 Min: 12.45 / Avg: 13 / Max: 13.55 Min: 11.19 / Avg: 11.54 / Max: 11.82 Min: 10.99 / Avg: 11.06 / Max: 11.12 Min: 8.73 / Avg: 8.77 / Max: 8.81 Min: 7.63 / Avg: 7.66 / Max: 7.7 Min: 6.46 / Avg: 6.49 / Max: 6.51 Min: 6.02 / Avg: 6.06 / Max: 6.09 Min: 5.47 / Avg: 5.57 / Max: 5.62
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7642 EPYC 7662 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7702 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7232P EPYC 7252 200 400 600 800 1000 SE +/- 1.62, N = 3 SE +/- 2.65, N = 3 SE +/- 0.81, N = 3 SE +/- 2.79, N = 3 SE +/- 2.14, N = 3 SE +/- 2.21, N = 3 SE +/- 0.85, N = 3 SE +/- 0.99, N = 3 SE +/- 0.05, N = 3 SE +/- 2.19, N = 3 SE +/- 1.86, N = 3 SE +/- 1.41, N = 3 SE +/- 1.82, N = 3 SE +/- 3.86, N = 3 SE +/- 3.04, N = 3 SE +/- 2.14, N = 3 SE +/- 1.25, N = 3 SE +/- 3.05, N = 3 SE +/- 1.71, N = 3 SE +/- 0.67, N = 3 1070.51 1021.52 1020.30 971.19 959.68 957.98 949.99 945.95 942.70 940.24 938.95 930.43 918.81 915.08 912.66 893.05 885.81 877.83 871.81 838.12 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7642 EPYC 7662 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7702 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7232P EPYC 7252 200 400 600 800 1000 Min: 1068.74 / Avg: 1070.51 / Max: 1073.75 Min: 1017.45 / Avg: 1021.52 / Max: 1026.49 Min: 1019.2 / Avg: 1020.3 / Max: 1021.87 Min: 965.61 / Avg: 971.19 / Max: 974.12 Min: 957.34 / Avg: 959.68 / Max: 963.95 Min: 954.44 / Avg: 957.98 / Max: 962.03 Min: 948.99 / Avg: 949.99 / Max: 951.68 Min: 944.15 / Avg: 945.95 / Max: 947.58 Min: 942.6 / Avg: 942.7 / Max: 942.78 Min: 936.37 / Avg: 940.24 / Max: 943.96 Min: 936.51 / Avg: 938.95 / Max: 942.6 Min: 928.27 / Avg: 930.43 / Max: 933.08 Min: 916.37 / Avg: 918.81 / Max: 922.37 Min: 908.66 / Avg: 915.08 / Max: 922 Min: 907.1 / Avg: 912.66 / Max: 917.55 Min: 888.78 / Avg: 893.05 / Max: 895.41 Min: 884.13 / Avg: 885.81 / Max: 888.26 Min: 873.21 / Avg: 877.83 / Max: 883.6 Min: 869.8 / Avg: 871.81 / Max: 875.21 Min: 837.05 / Avg: 838.12 / Max: 839.34 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 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.43 2.30 2.29 2.11 2.08 2.08 2.07 2.07 2.06 2.04 2.03 2.03 2.03 2.02 2.01 1.98 1.95 1.95 1.90 1.88 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 2.42 / Avg: 2.43 / Max: 2.44 Min: 2.3 / Avg: 2.3 / Max: 2.3 Min: 2.28 / Avg: 2.29 / Max: 2.31 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.03 / Avg: 2.03 / Max: 2.03 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.02 / Avg: 2.02 / Max: 2.03 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 1.95 / Avg: 1.95 / Max: 1.95 Min: 1.89 / Avg: 1.9 / Max: 1.9 Min: 1.88 / Avg: 1.88 / Max: 1.89 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 13.44 13.61 14.21 14.44 16.09 16.91 16.94 16.98 17.29 17.87 19.01 20.77 21.44 24.58 27.16 32.80 36.78 42.15 45.07 46.73 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 13.4 / Avg: 13.44 / Max: 13.49 Min: 13.56 / Avg: 13.61 / Max: 13.68 Min: 14.18 / Avg: 14.21 / Max: 14.23 Min: 14.36 / Avg: 14.43 / Max: 14.5 Min: 16.01 / Avg: 16.09 / Max: 16.14 Min: 16.84 / Avg: 16.91 / Max: 17 Min: 16.89 / Avg: 16.94 / Max: 16.98 Min: 16.98 / Avg: 16.98 / Max: 16.98 Min: 17.2 / Avg: 17.29 / Max: 17.42 Min: 17.84 / Avg: 17.87 / Max: 17.89 Min: 18.97 / Avg: 19.01 / Max: 19.04 Min: 20.74 / Avg: 20.77 / Max: 20.81 Min: 21.4 / Avg: 21.44 / Max: 21.5 Min: 24.53 / Avg: 24.57 / Max: 24.64 Min: 27.07 / Avg: 27.15 / Max: 27.25 Min: 32.74 / Avg: 32.8 / Max: 32.87 Min: 36.73 / Avg: 36.78 / Max: 36.82 Min: 42.08 / Avg: 42.15 / Max: 42.23 Min: 45 / Avg: 45.07 / Max: 45.14 Min: 46.7 / Avg: 46.73 / Max: 46.78
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.35, N = 3 SE +/- 0.19, N = 3 SE +/- 0.40, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 17.61 17.64 18.04 18.47 19.15 19.26 19.73 19.75 19.78 20.28 20.67 20.77 22.74 23.97 25.78 29.47 29.68 34.06 36.66 38.47 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 17.43 / Avg: 17.61 / Max: 17.71 Min: 17.31 / Avg: 17.64 / Max: 17.81 Min: 18.02 / Avg: 18.04 / Max: 18.06 Min: 18.09 / Avg: 18.47 / Max: 18.77 Min: 19.06 / Avg: 19.15 / Max: 19.27 Min: 19.19 / Avg: 19.26 / Max: 19.36 Min: 19.62 / Avg: 19.73 / Max: 19.91 Min: 19.69 / Avg: 19.75 / Max: 19.84 Min: 19.76 / Avg: 19.78 / Max: 19.81 Min: 20.07 / Avg: 20.28 / Max: 20.43 Min: 20.45 / Avg: 20.67 / Max: 20.81 Min: 20.57 / Avg: 20.77 / Max: 20.89 Min: 22.56 / Avg: 22.74 / Max: 22.85 Min: 23.81 / Avg: 23.97 / Max: 24.23 Min: 25.7 / Avg: 25.78 / Max: 25.91 Min: 28.91 / Avg: 29.47 / Max: 30.12 Min: 29.37 / Avg: 29.68 / Max: 30.01 Min: 33.54 / Avg: 34.06 / Max: 34.86 Min: 36.66 / Avg: 36.66 / Max: 36.67 Min: 38.31 / Avg: 38.47 / Max: 38.59
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 1100 2200 3300 4400 5500 SE +/- 0.17, N = 3 SE +/- 11.63, N = 3 SE +/- 0.45, N = 3 SE +/- 0.70, N = 3 SE +/- 2.02, N = 3 SE +/- 0.72, N = 3 SE +/- 0.49, N = 3 SE +/- 0.43, N = 3 SE +/- 2.04, N = 3 SE +/- 3.59, N = 3 SE +/- 0.37, N = 3 SE +/- 0.50, N = 3 SE +/- 0.73, N = 3 SE +/- 1.01, N = 3 SE +/- 7.30, N = 3 SE +/- 0.40, N = 3 SE +/- 0.46, N = 3 SE +/- 5.52, N = 3 SE +/- 5.64, N = 3 SE +/- 4.52, N = 3 5205.65 5165.05 4938.52 4538.40 4535.60 4472.73 4472.15 4472.13 4470.35 4458.22 4406.41 4405.75 4405.46 4403.81 4397.19 4273.08 4272.70 4247.54 4230.65 4195.41 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: AES-256 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 900 1800 2700 3600 4500 Min: 5205.31 / Avg: 5205.65 / Max: 5205.87 Min: 5141.81 / Avg: 5165.05 / Max: 5177.6 Min: 4937.84 / Avg: 4938.52 / Max: 4939.37 Min: 4537.09 / Avg: 4538.4 / Max: 4539.48 Min: 4531.58 / Avg: 4535.6 / Max: 4537.98 Min: 4471.91 / Avg: 4472.73 / Max: 4474.16 Min: 4471.19 / Avg: 4472.15 / Max: 4472.78 Min: 4471.27 / Avg: 4472.13 / Max: 4472.64 Min: 4466.28 / Avg: 4470.35 / Max: 4472.69 Min: 4454.33 / Avg: 4458.22 / Max: 4465.38 Min: 4405.81 / Avg: 4406.41 / Max: 4407.1 Min: 4404.93 / Avg: 4405.75 / Max: 4406.67 Min: 4404.07 / Avg: 4405.46 / Max: 4406.52 Min: 4401.81 / Avg: 4403.81 / Max: 4405.07 Min: 4382.74 / Avg: 4397.19 / Max: 4406.2 Min: 4272.36 / Avg: 4273.08 / Max: 4273.74 Min: 4271.85 / Avg: 4272.7 / Max: 4273.41 Min: 4237.16 / Avg: 4247.54 / Max: 4256 Min: 4224.18 / Avg: 4230.65 / Max: 4241.89 Min: 4186.38 / Avg: 4195.41 / Max: 4200.32 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 20.05 20.13 21.17 22.96 23.21 23.29 23.31 23.31 23.35 23.39 23.63 23.65 23.67 23.68 23.74 24.39 24.40 24.56 24.62 24.83 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 6 12 18 24 30 Min: 20.04 / Avg: 20.05 / Max: 20.08 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 21.15 / Avg: 21.17 / Max: 21.18 Min: 22.94 / Avg: 22.96 / Max: 22.97 Min: 23.17 / Avg: 23.21 / Max: 23.23 Min: 23.29 / Avg: 23.29 / Max: 23.29 Min: 23.29 / Avg: 23.31 / Max: 23.33 Min: 23.28 / Avg: 23.31 / Max: 23.36 Min: 23.32 / Avg: 23.35 / Max: 23.4 Min: 23.37 / Avg: 23.39 / Max: 23.44 Min: 23.61 / Avg: 23.63 / Max: 23.66 Min: 23.61 / Avg: 23.64 / Max: 23.67 Min: 23.66 / Avg: 23.67 / Max: 23.68 Min: 23.65 / Avg: 23.68 / Max: 23.73 Min: 23.71 / Avg: 23.74 / Max: 23.79 Min: 24.38 / Avg: 24.39 / Max: 24.41 Min: 24.38 / Avg: 24.4 / Max: 24.42 Min: 24.49 / Avg: 24.56 / Max: 24.62 Min: 24.55 / Avg: 24.62 / Max: 24.66 Min: 24.78 / Avg: 24.83 / Max: 24.86 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7282 EPYC 7552 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7352 80 160 240 320 400 SE +/- 0.05, N = 3 SE +/- 0.77, N = 3 SE +/- 0.27, N = 3 SE +/- 1.31, N = 3 SE +/- 0.39, N = 3 SE +/- 1.84, N = 3 SE +/- 0.56, N = 3 SE +/- 0.33, N = 3 SE +/- 1.03, N = 3 SE +/- 0.41, N = 3 SE +/- 0.74, N = 3 SE +/- 1.79, N = 3 SE +/- 0.74, N = 3 SE +/- 1.01, N = 3 SE +/- 0.82, N = 3 SE +/- 1.34, N = 3 SE +/- 1.24, N = 3 SE +/- 4.04, N = 3 SE +/- 0.14, N = 3 SE +/- 2.06, N = 3 273.03 280.01 297.78 318.66 322.45 324.95 325.88 329.73 329.83 331.74 332.32 332.40 332.86 335.26 336.71 339.74 340.47 340.47 341.63 355.28 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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7282 EPYC 7552 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7352 60 120 180 240 300 Min: 272.98 / Avg: 273.03 / Max: 273.13 Min: 278.81 / Avg: 280.01 / Max: 281.44 Min: 297.27 / Avg: 297.78 / Max: 298.2 Min: 317.11 / Avg: 318.66 / Max: 321.26 Min: 322.03 / Avg: 322.45 / Max: 323.23 Min: 321.27 / Avg: 324.95 / Max: 326.89 Min: 324.89 / Avg: 325.88 / Max: 326.82 Min: 329.06 / Avg: 329.73 / Max: 330.13 Min: 328.48 / Avg: 329.83 / Max: 331.86 Min: 331.09 / Avg: 331.74 / Max: 332.5 Min: 330.91 / Avg: 332.32 / Max: 333.45 Min: 329.08 / Avg: 332.4 / Max: 335.2 Min: 331.66 / Avg: 332.86 / Max: 334.2 Min: 333.82 / Avg: 335.26 / Max: 337.2 Min: 335.1 / Avg: 336.71 / Max: 337.79 Min: 338.1 / Avg: 339.74 / Max: 342.39 Min: 338.86 / Avg: 340.47 / Max: 342.91 Min: 335.17 / Avg: 340.47 / Max: 348.41 Min: 341.48 / Avg: 341.63 / Max: 341.9 Min: 351.77 / Avg: 355.28 / Max: 358.9 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 13.37 13.50 14.31 14.42 15.78 16.49 16.50 16.90 16.99 17.22 18.38 20.03 20.54 23.73 24.53 29.84 33.35 38.32 40.08 40.71 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 8 16 24 32 40 Min: 13.37 / Avg: 13.37 / Max: 13.38 Min: 13.48 / Avg: 13.5 / Max: 13.52 Min: 14.28 / Avg: 14.31 / Max: 14.35 Min: 14.38 / Avg: 14.42 / Max: 14.46 Min: 15.75 / Avg: 15.78 / Max: 15.83 Min: 16.48 / Avg: 16.49 / Max: 16.5 Min: 16.5 / Avg: 16.5 / Max: 16.51 Min: 16.87 / Avg: 16.9 / Max: 16.92 Min: 16.98 / Avg: 16.99 / Max: 17 Min: 17.21 / Avg: 17.22 / Max: 17.23 Min: 18.34 / Avg: 18.38 / Max: 18.4 Min: 20.02 / Avg: 20.03 / Max: 20.05 Min: 20.5 / Avg: 20.54 / Max: 20.56 Min: 23.7 / Avg: 23.73 / Max: 23.74 Min: 24.5 / Avg: 24.53 / Max: 24.55 Min: 29.81 / Avg: 29.84 / Max: 29.87 Min: 33.34 / Avg: 33.35 / Max: 33.36 Min: 38.3 / Avg: 38.32 / Max: 38.35 Min: 40.02 / Avg: 40.08 / Max: 40.19 Min: 40.67 / Avg: 40.71 / Max: 40.8 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7F32 EPYC 7F52 EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7F72 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7352 EPYC 7702 EPYC 7642 EPYC 7532 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 17.74 20.00 20.00 20.31 20.50 20.95 21.13 21.44 21.84 22.48 23.20 23.22 23.52 23.58 23.63 23.65 23.79 23.82 24.07 24.25 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7F32 EPYC 7F52 EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7F72 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7352 EPYC 7702 EPYC 7642 EPYC 7532 6 12 18 24 30 Min: 17.67 / Avg: 17.74 / Max: 17.81 Min: 19.9 / Avg: 20 / Max: 20.09 Min: 19.95 / Avg: 20 / Max: 20.09 Min: 20.22 / Avg: 20.31 / Max: 20.36 Min: 20.43 / Avg: 20.5 / Max: 20.53 Min: 20.87 / Avg: 20.95 / Max: 21.03 Min: 21.02 / Avg: 21.13 / Max: 21.32 Min: 21.26 / Avg: 21.44 / Max: 21.62 Min: 21.81 / Avg: 21.84 / Max: 21.9 Min: 22.36 / Avg: 22.48 / Max: 22.58 Min: 23.02 / Avg: 23.2 / Max: 23.51 Min: 23.14 / Avg: 23.22 / Max: 23.3 Min: 23.3 / Avg: 23.52 / Max: 23.66 Min: 23.52 / Avg: 23.58 / Max: 23.62 Min: 23.46 / Avg: 23.63 / Max: 23.79 Min: 23.5 / Avg: 23.65 / Max: 23.85 Min: 23.73 / Avg: 23.79 / Max: 23.83 Min: 23.79 / Avg: 23.82 / Max: 23.84 Min: 23.98 / Avg: 24.07 / Max: 24.22 Min: 24.14 / Avg: 24.25 / Max: 24.4
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7642 EPYC 7402P EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7F72 EPYC 7272 EPYC 7F52 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 5 10 15 20 25 SE +/- 0.008, N = 3 SE +/- 0.018, N = 3 SE +/- 0.038, N = 3 SE +/- 0.243, N = 12 SE +/- 0.010, N = 3 SE +/- 0.023, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.033, N = 3 SE +/- 0.093, N = 3 SE +/- 0.011, N = 3 SE +/- 0.423, N = 15 SE +/- 0.225, N = 15 SE +/- 0.078, N = 3 SE +/- 0.080, N = 3 SE +/- 0.215, N = 3 SE +/- 0.098, N = 3 SE +/- 0.028, N = 3 SE +/- 0.062, N = 3 SE +/- 0.012, N = 3 7.859 11.090 12.138 12.391 12.631 12.672 12.750 13.241 13.439 13.495 13.752 14.081 14.751 14.781 15.471 17.374 18.871 18.899 19.044 20.129 1. (CXX) g++ options: -fopenmp -O3 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7642 EPYC 7402P EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7F72 EPYC 7272 EPYC 7F52 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7262 5 10 15 20 25 Min: 7.85 / Avg: 7.86 / Max: 7.87 Min: 11.05 / Avg: 11.09 / Max: 11.12 Min: 12.06 / Avg: 12.14 / Max: 12.18 Min: 9.72 / Avg: 12.39 / Max: 12.67 Min: 12.62 / Avg: 12.63 / Max: 12.65 Min: 12.64 / Avg: 12.67 / Max: 12.72 Min: 12.74 / Avg: 12.75 / Max: 12.75 Min: 13.23 / Avg: 13.24 / Max: 13.26 Min: 13.4 / Avg: 13.44 / Max: 13.5 Min: 13.39 / Avg: 13.5 / Max: 13.68 Min: 13.74 / Avg: 13.75 / Max: 13.77 Min: 10.76 / Avg: 14.08 / Max: 14.97 Min: 12.55 / Avg: 14.75 / Max: 15.22 Min: 14.69 / Avg: 14.78 / Max: 14.94 Min: 15.31 / Avg: 15.47 / Max: 15.56 Min: 16.95 / Avg: 17.37 / Max: 17.59 Min: 18.73 / Avg: 18.87 / Max: 19.06 Min: 18.84 / Avg: 18.9 / Max: 18.93 Min: 18.92 / Avg: 19.04 / Max: 19.11 Min: 20.11 / Avg: 20.13 / Max: 20.15 1. (CXX) g++ options: -fopenmp -O3
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7282 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7532 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 33.89 33.05 32.06 28.76 28.46 28.43 28.36 28.16 28.08 27.99 27.92 27.84 27.67 27.58 27.50 26.91 26.85 26.78 26.56 26.48 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7282 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7532 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 7 14 21 28 35 Min: 33.74 / Avg: 33.89 / Max: 34.08 Min: 32.88 / Avg: 33.05 / Max: 33.16 Min: 31.92 / Avg: 32.06 / Max: 32.14 Min: 28.64 / Avg: 28.76 / Max: 28.84 Min: 28.3 / Avg: 28.46 / Max: 28.76 Min: 28.25 / Avg: 28.43 / Max: 28.56 Min: 28.35 / Avg: 28.36 / Max: 28.39 Min: 28.11 / Avg: 28.16 / Max: 28.2 Min: 27.82 / Avg: 28.08 / Max: 28.27 Min: 27.8 / Avg: 27.99 / Max: 28.13 Min: 27.88 / Avg: 27.92 / Max: 27.99 Min: 27.65 / Avg: 27.84 / Max: 28.15 Min: 27.6 / Avg: 27.67 / Max: 27.72 Min: 27.45 / Avg: 27.58 / Max: 27.68 Min: 27.33 / Avg: 27.5 / Max: 27.69 Min: 26.83 / Avg: 26.91 / Max: 26.99 Min: 26.66 / Avg: 26.85 / Max: 26.96 Min: 26.51 / Avg: 26.78 / Max: 26.92 Min: 26.54 / Avg: 26.56 / Max: 26.6 Min: 26.42 / Avg: 26.48 / Max: 26.57 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.24, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 49.80 47.41 44.54 43.98 34.03 31.27 29.99 29.97 29.74 29.73 29.54 28.57 27.59 27.54 22.67 21.08 19.57 18.66 18.53 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 49.51 / Avg: 49.8 / Max: 50.07 Min: 47.35 / Avg: 47.41 / Max: 47.45 Min: 44.44 / Avg: 44.54 / Max: 44.67 Min: 43.56 / Avg: 43.98 / Max: 44.38 Min: 33.98 / Avg: 34.03 / Max: 34.08 Min: 31.18 / Avg: 31.27 / Max: 31.41 Min: 29.88 / Avg: 29.99 / Max: 30.06 Min: 29.8 / Avg: 29.97 / Max: 30.19 Min: 29.56 / Avg: 29.74 / Max: 29.85 Min: 29.56 / Avg: 29.73 / Max: 29.85 Min: 29.47 / Avg: 29.54 / Max: 29.59 Min: 28.43 / Avg: 28.57 / Max: 28.66 Min: 27.43 / Avg: 27.59 / Max: 27.68 Min: 27.47 / Avg: 27.54 / Max: 27.66 Min: 22.59 / Avg: 22.67 / Max: 22.72 Min: 21.06 / Avg: 21.08 / Max: 21.11 Min: 19.54 / Avg: 19.57 / Max: 19.6 Min: 18.61 / Avg: 18.66 / Max: 18.69 Min: 18.5 / Avg: 18.53 / Max: 18.57 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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: SqueezeNet v1.1 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 70 140 210 280 350 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.46, N = 3 261.64 262.37 276.20 299.07 302.08 303.36 303.50 303.53 304.54 304.61 307.88 308.03 308.21 309.42 309.77 317.09 319.16 319.57 319.96 323.49 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 60 120 180 240 300 Min: 261.36 / Avg: 261.64 / Max: 262.03 Min: 262.2 / Avg: 262.37 / Max: 262.49 Min: 275.8 / Avg: 276.2 / Max: 276.46 Min: 298.75 / Avg: 299.07 / Max: 299.36 Min: 301.98 / Avg: 302.08 / Max: 302.14 Min: 303.21 / Avg: 303.36 / Max: 303.64 Min: 303.26 / Avg: 303.5 / Max: 303.75 Min: 303.41 / Avg: 303.53 / Max: 303.69 Min: 304.21 / Avg: 304.53 / Max: 304.8 Min: 304.4 / Avg: 304.61 / Max: 304.79 Min: 307.77 / Avg: 307.88 / Max: 307.95 Min: 307.98 / Avg: 308.03 / Max: 308.08 Min: 308.08 / Avg: 308.21 / Max: 308.37 Min: 309.2 / Avg: 309.42 / Max: 309.6 Min: 309.24 / Avg: 309.77 / Max: 310.24 Min: 317.03 / Avg: 317.09 / Max: 317.19 Min: 318.9 / Avg: 319.16 / Max: 319.3 Min: 319.47 / Avg: 319.57 / Max: 319.68 Min: 319.64 / Avg: 319.96 / Max: 320.15 Min: 322.66 / Avg: 323.49 / Max: 324.24 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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7272 EPYC 7F72 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 SE +/- 0.01117, N = 3 SE +/- 0.00807, N = 3 SE +/- 0.03246, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.00963, N = 3 SE +/- 0.00330, N = 3 SE +/- 0.01709, N = 3 SE +/- 0.01388, N = 3 SE +/- 0.03563, N = 3 SE +/- 0.07848, N = 3 SE +/- 0.03237, N = 3 SE +/- 0.04730, N = 3 SE +/- 0.00888, N = 3 SE +/- 0.07374, N = 3 SE +/- 0.02264, N = 3 SE +/- 0.04355, N = 3 SE +/- 0.06464, N = 3 SE +/- 0.13888, N = 3 SE +/- 0.02321, N = 3 1.84929 1.97320 2.07711 2.11379 2.11772 2.20492 2.23666 2.37717 2.39590 5.61953 5.80076 5.81070 6.08993 6.23365 6.27642 7.15861 7.96836 8.37286 9.24304 9.61958 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7272 EPYC 7F72 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 1.83 / Avg: 1.85 / Max: 1.87 Min: 1.96 / Avg: 1.97 / Max: 1.99 Min: 2.03 / Avg: 2.08 / Max: 2.14 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 2.19 / Avg: 2.2 / Max: 2.22 Min: 2.23 / Avg: 2.24 / Max: 2.24 Min: 2.34 / Avg: 2.38 / Max: 2.4 Min: 2.37 / Avg: 2.4 / Max: 2.42 Min: 5.55 / Avg: 5.62 / Max: 5.66 Min: 5.71 / Avg: 5.8 / Max: 5.96 Min: 5.75 / Avg: 5.81 / Max: 5.86 Min: 6.03 / Avg: 6.09 / Max: 6.18 Min: 6.22 / Avg: 6.23 / Max: 6.24 Min: 6.18 / Avg: 6.28 / Max: 6.42 Min: 7.12 / Avg: 7.16 / Max: 7.19 Min: 7.89 / Avg: 7.97 / Max: 8.04 Min: 8.25 / Avg: 8.37 / Max: 8.47 Min: 9 / Avg: 9.24 / Max: 9.48 Min: 9.58 / Avg: 9.62 / Max: 9.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 18.00 18.12 19.02 20.60 20.64 20.78 20.82 20.91 20.93 21.01 21.02 21.05 21.08 21.14 21.22 21.72 21.81 21.90 22.17 22.37 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 17.78 / Avg: 18 / Max: 18.13 Min: 17.87 / Avg: 18.12 / Max: 18.32 Min: 19.01 / Avg: 19.02 / Max: 19.03 Min: 20.54 / Avg: 20.6 / Max: 20.64 Min: 20.34 / Avg: 20.64 / Max: 20.82 Min: 20.52 / Avg: 20.78 / Max: 20.95 Min: 20.55 / Avg: 20.82 / Max: 20.97 Min: 20.78 / Avg: 20.91 / Max: 21 Min: 20.89 / Avg: 20.92 / Max: 20.96 Min: 20.99 / Avg: 21.01 / Max: 21.04 Min: 20.88 / Avg: 21.02 / Max: 21.28 Min: 20.78 / Avg: 21.05 / Max: 21.2 Min: 20.84 / Avg: 21.08 / Max: 21.24 Min: 20.84 / Avg: 21.14 / Max: 21.35 Min: 20.99 / Avg: 21.22 / Max: 21.35 Min: 21.57 / Avg: 21.72 / Max: 21.97 Min: 21.8 / Avg: 21.81 / Max: 21.84 Min: 21.53 / Avg: 21.9 / Max: 22.27 Min: 21.96 / Avg: 22.17 / Max: 22.31 Min: 22.22 / Avg: 22.37 / Max: 22.61 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 51.19 48.68 45.08 44.71 34.75 31.94 30.79 30.77 30.60 30.36 30.11 29.30 28.31 28.14 23.16 21.67 20.03 19.08 18.97 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 51.16 / Avg: 51.19 / Max: 51.24 Min: 48.49 / Avg: 48.68 / Max: 48.79 Min: 44.9 / Avg: 45.08 / Max: 45.18 Min: 44.52 / Avg: 44.71 / Max: 44.88 Min: 34.58 / Avg: 34.75 / Max: 34.85 Min: 31.87 / Avg: 31.94 / Max: 31.99 Min: 30.69 / Avg: 30.79 / Max: 30.85 Min: 30.69 / Avg: 30.77 / Max: 30.84 Min: 30.52 / Avg: 30.6 / Max: 30.67 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 30.01 / Avg: 30.11 / Max: 30.19 Min: 29.22 / Avg: 29.3 / Max: 29.46 Min: 28.2 / Avg: 28.31 / Max: 28.39 Min: 28.04 / Avg: 28.14 / Max: 28.26 Min: 23.11 / Avg: 23.16 / Max: 23.24 Min: 21.62 / Avg: 21.67 / Max: 21.76 Min: 19.98 / Avg: 20.03 / Max: 20.05 Min: 19.05 / Avg: 19.08 / Max: 19.1 Min: 18.96 / Avg: 18.97 / Max: 18.98 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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: Thorough EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 8 16 24 32 40 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.25 6.26 7.21 7.26 8.88 9.55 9.56 9.87 10.39 10.49 11.48 13.30 13.77 16.30 17.54 22.25 27.00 30.98 32.38 32.88 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 7 14 21 28 35 Min: 6.24 / Avg: 6.25 / Max: 6.25 Min: 6.25 / Avg: 6.26 / Max: 6.27 Min: 7.21 / Avg: 7.21 / Max: 7.22 Min: 7.25 / Avg: 7.26 / Max: 7.26 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 9.55 / Avg: 9.55 / Max: 9.55 Min: 9.55 / Avg: 9.56 / Max: 9.57 Min: 9.87 / Avg: 9.87 / Max: 9.87 Min: 10.38 / Avg: 10.39 / Max: 10.4 Min: 10.48 / Avg: 10.49 / Max: 10.5 Min: 11.48 / Avg: 11.48 / Max: 11.49 Min: 13.3 / Avg: 13.3 / Max: 13.3 Min: 13.76 / Avg: 13.77 / Max: 13.78 Min: 16.29 / Avg: 16.3 / Max: 16.3 Min: 17.54 / Avg: 17.54 / Max: 17.55 Min: 22.24 / Avg: 22.25 / Max: 22.25 Min: 26.97 / Avg: 27 / Max: 27.02 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 32.37 / Avg: 32.38 / Max: 32.38 Min: 32.87 / Avg: 32.88 / Max: 32.89 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: Blowfish EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 90 180 270 360 450 SE +/- 0.17, N = 3 SE +/- 0.85, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 SE +/- 0.52, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.24, N = 3 SE +/- 4.59, N = 4 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.27, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 3 424.12 420.08 402.57 370.17 369.89 364.82 364.53 364.47 364.33 362.64 359.14 359.12 359.12 358.90 354.73 348.20 348.10 345.62 344.85 341.93 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 80 160 240 320 400 Min: 423.79 / Avg: 424.12 / Max: 424.37 Min: 419.22 / Avg: 420.08 / Max: 421.77 Min: 402.41 / Avg: 402.57 / Max: 402.69 Min: 369.59 / Avg: 370.17 / Max: 370.5 Min: 369.74 / Avg: 369.89 / Max: 370.08 Min: 364.58 / Avg: 364.82 / Max: 365.03 Min: 364.38 / Avg: 364.53 / Max: 364.74 Min: 364.4 / Avg: 364.47 / Max: 364.59 Min: 363.76 / Avg: 364.33 / Max: 364.62 Min: 361.93 / Avg: 362.64 / Max: 363.65 Min: 359.02 / Avg: 359.14 / Max: 359.3 Min: 358.94 / Avg: 359.12 / Max: 359.32 Min: 358.96 / Avg: 359.12 / Max: 359.25 Min: 358.44 / Avg: 358.9 / Max: 359.26 Min: 340.96 / Avg: 354.73 / Max: 359.49 Min: 348.13 / Avg: 348.2 / Max: 348.25 Min: 348.07 / Avg: 348.1 / Max: 348.12 Min: 345.16 / Avg: 345.62 / Max: 346.1 Min: 344.39 / Avg: 344.85 / Max: 345.2 Min: 341.43 / Avg: 341.93 / Max: 342.57 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 5 10 15 20 25 SE +/- 0.03, 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 +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 17.73 17.83 18.61 20.19 20.20 20.49 20.52 20.52 20.59 20.72 20.78 20.79 20.79 20.84 20.87 21.45 21.63 21.68 21.91 21.93 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7302P EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 5 10 15 20 25 Min: 17.69 / Avg: 17.73 / Max: 17.8 Min: 17.8 / Avg: 17.83 / Max: 17.88 Min: 18.56 / Avg: 18.61 / Max: 18.64 Min: 20.15 / Avg: 20.19 / Max: 20.21 Min: 20.18 / Avg: 20.2 / Max: 20.23 Min: 20.45 / Avg: 20.49 / Max: 20.51 Min: 20.49 / Avg: 20.52 / Max: 20.54 Min: 20.48 / Avg: 20.52 / Max: 20.58 Min: 20.53 / Avg: 20.59 / Max: 20.65 Min: 20.66 / Avg: 20.72 / Max: 20.76 Min: 20.76 / Avg: 20.78 / Max: 20.8 Min: 20.77 / Avg: 20.79 / Max: 20.81 Min: 20.77 / Avg: 20.79 / Max: 20.82 Min: 20.79 / Avg: 20.84 / Max: 20.91 Min: 20.85 / Avg: 20.87 / Max: 20.9 Min: 21.44 / Avg: 21.45 / Max: 21.47 Min: 21.61 / Avg: 21.63 / Max: 21.64 Min: 21.62 / Avg: 21.68 / Max: 21.74 Min: 21.79 / Avg: 21.91 / Max: 22.06 Min: 21.86 / Avg: 21.93 / Max: 22.06
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 80 160 240 320 400 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 351.65 349.06 333.87 306.83 306.78 302.38 302.33 302.31 302.26 301.30 298.00 297.96 297.88 297.79 297.66 288.79 288.71 286.58 285.66 283.96 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Twofish EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 60 120 180 240 300 Min: 351.48 / Avg: 351.65 / Max: 351.75 Min: 348.75 / Avg: 349.06 / Max: 349.44 Min: 333.76 / Avg: 333.87 / Max: 333.94 Min: 306.75 / Avg: 306.83 / Max: 306.95 Min: 306.68 / Avg: 306.78 / Max: 306.92 Min: 302.31 / Avg: 302.37 / Max: 302.42 Min: 302.17 / Avg: 302.33 / Max: 302.45 Min: 302.23 / Avg: 302.31 / Max: 302.38 Min: 301.89 / Avg: 302.26 / Max: 302.56 Min: 301.1 / Avg: 301.3 / Max: 301.58 Min: 297.78 / Avg: 298 / Max: 298.16 Min: 297.9 / Avg: 297.96 / Max: 298.06 Min: 297.79 / Avg: 297.88 / Max: 297.94 Min: 297.63 / Avg: 297.78 / Max: 297.96 Min: 297.46 / Avg: 297.66 / Max: 297.95 Min: 288.69 / Avg: 288.79 / Max: 288.94 Min: 288.64 / Avg: 288.71 / Max: 288.82 Min: 286.21 / Avg: 286.58 / Max: 287.13 Min: 285.41 / Avg: 285.66 / Max: 285.91 Min: 283.71 / Avg: 283.96 / Max: 284.24 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: CAST-256 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.30, N = 3 SE +/- 0.06, N = 3 137.29 136.44 130.42 119.93 119.89 118.15 118.11 118.08 118.07 117.51 116.39 116.34 116.34 116.33 116.27 112.79 112.59 112.08 111.50 110.95 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 30 60 90 120 150 Min: 137.03 / Avg: 137.29 / Max: 137.45 Min: 136.12 / Avg: 136.44 / Max: 136.6 Min: 130.4 / Avg: 130.42 / Max: 130.44 Min: 119.91 / Avg: 119.93 / Max: 119.95 Min: 119.86 / Avg: 119.89 / Max: 119.92 Min: 118.1 / Avg: 118.15 / Max: 118.18 Min: 118.05 / Avg: 118.11 / Max: 118.2 Min: 117.97 / Avg: 118.07 / Max: 118.15 Min: 118 / Avg: 118.07 / Max: 118.14 Min: 117.11 / Avg: 117.51 / Max: 117.71 Min: 116.37 / Avg: 116.39 / Max: 116.42 Min: 116.33 / Avg: 116.34 / Max: 116.36 Min: 116.29 / Avg: 116.34 / Max: 116.37 Min: 116.27 / Avg: 116.33 / Max: 116.42 Min: 116.21 / Avg: 116.27 / Max: 116.31 Min: 112.66 / Avg: 112.79 / Max: 112.89 Min: 112.52 / Avg: 112.59 / Max: 112.7 Min: 111.89 / Avg: 112.08 / Max: 112.39 Min: 110.91 / Avg: 111.5 / Max: 111.87 Min: 110.9 / Avg: 110.95 / Max: 111.06 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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 1.32, 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 +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, 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 +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 87.13 86.15 82.98 76.29 76.25 75.14 75.14 75.12 75.07 74.80 74.05 74.03 74.02 74.02 74.00 71.80 71.71 71.59 71.45 70.48 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: KASUMI EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 20 40 60 80 100 Min: 86.95 / Avg: 87.13 / Max: 87.22 Min: 83.52 / Avg: 86.15 / Max: 87.48 Min: 82.97 / Avg: 82.98 / Max: 83 Min: 76.28 / Avg: 76.29 / Max: 76.31 Min: 76.22 / Avg: 76.25 / Max: 76.3 Min: 75.12 / Avg: 75.14 / Max: 75.16 Min: 75.11 / Avg: 75.14 / Max: 75.16 Min: 75.06 / Avg: 75.12 / Max: 75.17 Min: 75.03 / Avg: 75.07 / Max: 75.13 Min: 74.73 / Avg: 74.8 / Max: 74.9 Min: 74.04 / Avg: 74.05 / Max: 74.09 Min: 73.99 / Avg: 74.03 / Max: 74.05 Min: 74.01 / Avg: 74.02 / Max: 74.04 Min: 74.01 / Avg: 74.02 / Max: 74.02 Min: 73.98 / Avg: 74 / Max: 74.02 Min: 71.8 / Avg: 71.8 / Max: 71.81 Min: 71.68 / Avg: 71.71 / Max: 71.77 Min: 71.58 / Avg: 71.59 / Max: 71.61 Min: 71.36 / Avg: 71.45 / Max: 71.51 Min: 70.4 / Avg: 70.48 / Max: 70.61 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3K 6K 9K 12K 15K SE +/- 0.76, N = 3 SE +/- 6.95, N = 3 SE +/- 0.23, N = 3 SE +/- 2.07, N = 3 SE +/- 1.54, N = 3 SE +/- 0.83, N = 3 SE +/- 0.48, N = 3 SE +/- 3.92, N = 3 SE +/- 1.27, N = 3 SE +/- 9.11, N = 3 SE +/- 1.87, N = 3 SE +/- 0.65, N = 3 SE +/- 1.70, N = 3 SE +/- 0.80, N = 3 SE +/- 0.25, N = 3 SE +/- 0.72, N = 3 SE +/- 0.42, N = 3 SE +/- 0.64, N = 3 SE +/- 0.38, N = 3 SE +/- 0.55, N = 3 12330.2 11503.7 10299.8 9912.0 7757.8 7396.3 7393.3 7180.2 6850.1 6350.7 5854.8 5221.3 4574.4 3873.2 3757.1 2794.5 2264.8 1971.6 1878.6 1855.0 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2K 4K 6K 8K 10K Min: 12329 / Avg: 12330.2 / Max: 12331.6 Min: 11489.8 / Avg: 11503.67 / Max: 11511.3 Min: 10299.4 / Avg: 10299.83 / Max: 10300.2 Min: 9907.9 / Avg: 9912.03 / Max: 9914.1 Min: 7755.5 / Avg: 7757.77 / Max: 7760.7 Min: 7394.7 / Avg: 7396.27 / Max: 7397.5 Min: 7392.8 / Avg: 7393.33 / Max: 7394.3 Min: 7172.5 / Avg: 7180.17 / Max: 7185.4 Min: 6848.7 / Avg: 6850.07 / Max: 6852.6 Min: 6340.8 / Avg: 6350.7 / Max: 6368.9 Min: 5851.2 / Avg: 5854.77 / Max: 5857.5 Min: 5220 / Avg: 5221.3 / Max: 5222 Min: 4571.2 / Avg: 4574.37 / Max: 4577 Min: 3872.2 / Avg: 3873.23 / Max: 3874.8 Min: 3756.8 / Avg: 3757.1 / Max: 3757.6 Min: 2793.6 / Avg: 2794.47 / Max: 2795.9 Min: 2264.3 / Avg: 2264.77 / Max: 2265.6 Min: 1970.4 / Avg: 1971.57 / Max: 1972.6 Min: 1878 / Avg: 1878.63 / Max: 1879.3 Min: 1853.9 / Avg: 1855 / Max: 1855.6 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.044, N = 3 SE +/- 0.075, N = 3 SE +/- 0.048, N = 3 SE +/- 0.033, N = 3 SE +/- 0.038, N = 3 SE +/- 0.007, N = 3 SE +/- 0.024, N = 3 SE +/- 0.024, N = 3 SE +/- 0.042, N = 3 SE +/- 0.021, N = 3 SE +/- 0.010, N = 3 SE +/- 0.039, N = 3 SE +/- 0.019, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 8.191 7.953 7.908 7.694 7.075 6.771 6.728 6.710 6.575 6.429 6.095 5.286 5.201 4.626 4.082 3.525 3.073 2.674 2.553 2.549 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 8.1 / Avg: 8.19 / Max: 8.24 Min: 7.8 / Avg: 7.95 / Max: 8.05 Min: 7.85 / Avg: 7.91 / Max: 8 Min: 7.64 / Avg: 7.69 / Max: 7.75 Min: 7.02 / Avg: 7.07 / Max: 7.15 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 6.68 / Avg: 6.73 / Max: 6.77 Min: 6.66 / Avg: 6.71 / Max: 6.74 Min: 6.5 / Avg: 6.58 / Max: 6.64 Min: 6.41 / Avg: 6.43 / Max: 6.47 Min: 6.08 / Avg: 6.1 / Max: 6.11 Min: 5.22 / Avg: 5.29 / Max: 5.35 Min: 5.17 / Avg: 5.2 / Max: 5.24 Min: 4.62 / Avg: 4.63 / Max: 4.64 Min: 4.07 / Avg: 4.08 / Max: 4.09 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 2.67 / Avg: 2.67 / Max: 2.68 Min: 2.55 / Avg: 2.55 / Max: 2.56 Min: 2.54 / Avg: 2.55 / Max: 2.57 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 130K 260K 390K 520K 650K SE +/- 2359.01, N = 3 SE +/- 2981.62, N = 3 SE +/- 837.97, N = 3 SE +/- 2718.70, N = 3 SE +/- 2113.07, N = 3 SE +/- 1200.01, N = 3 SE +/- 2165.69, N = 3 SE +/- 583.02, N = 3 SE +/- 1399.56, N = 3 SE +/- 2635.10, N = 3 SE +/- 2275.05, N = 3 SE +/- 1526.06, N = 3 SE +/- 507.16, N = 3 SE +/- 2362.58, N = 3 SE +/- 2747.06, N = 3 SE +/- 2863.87, N = 3 SE +/- 351.72, N = 3 SE +/- 3427.90, N = 3 SE +/- 3277.70, N = 3 SE +/- 1155.08, N = 3 600343 598080 571873 522810 520135 515021 514218 514044 513979 513016 507020 506275 506221 504716 504339 493191 492401 490002 488026 484301 Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 100K 200K 300K 400K 500K Min: 596626 / Avg: 600343 / Max: 604718 Min: 592630 / Avg: 598080 / Max: 602901 Min: 570368 / Avg: 571873.33 / Max: 573264 Min: 517673 / Avg: 522810 / Max: 526922 Min: 517027 / Avg: 520135 / Max: 524169 Min: 512649 / Avg: 515020.67 / Max: 516525 Min: 510015 / Avg: 514218 / Max: 517226 Min: 513379 / Avg: 514044 / Max: 515206 Min: 511256 / Avg: 513979 / Max: 515902 Min: 510116 / Avg: 513016 / Max: 518277 Min: 503077 / Avg: 507020.33 / Max: 510958 Min: 503297 / Avg: 506275 / Max: 508343 Min: 505464 / Avg: 506220.67 / Max: 507184 Min: 500994 / Avg: 504716 / Max: 509098 Min: 499465 / Avg: 504338.67 / Max: 508972 Min: 488411 / Avg: 493191.33 / Max: 498314 Min: 492038 / Avg: 492400.67 / Max: 493104 Min: 486082 / Avg: 490002 / Max: 496833 Min: 481927 / Avg: 488025.67 / Max: 493157 Min: 482002 / Avg: 484301 / Max: 485647
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7282 EPYC 7402P EPYC 7302P EPYC 7532 EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7232P EPYC 7272 EPYC 7642 EPYC 7352 EPYC 7552 EPYC 7662 EPYC 7262 EPYC 7252 3K 6K 9K 12K 15K SE +/- 80.13, N = 3 SE +/- 75.38, N = 3 SE +/- 73.16, N = 3 SE +/- 63.42, N = 3 SE +/- 63.42, N = 3 SE +/- 190.33, N = 3 SE +/- 163.64, N = 3 SE +/- 60.88, N = 6 SE +/- 102.66, N = 3 SE +/- 155.07, N = 3 SE +/- 115.44, N = 3 SE +/- 56.96, N = 3 SE +/- 56.96, N = 3 SE +/- 56.96, N = 3 SE +/- 170.94, N = 3 SE +/- 112.46, N = 3 SE +/- 189.94, N = 3 SE +/- 78.14, N = 4 SE +/- 104.18, N = 3 SE +/- 50.19, N = 3 15465 15076 14779 13825 13762 13704 13579 13394 13335 13219 13218 13101 13101 13044 12991 12933 12826 12580 12554 12295 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7282 EPYC 7402P EPYC 7302P EPYC 7532 EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7232P EPYC 7272 EPYC 7642 EPYC 7352 EPYC 7552 EPYC 7662 EPYC 7262 EPYC 7252 3K 6K 9K 12K 15K Min: 15384.62 / Avg: 15464.74 / Max: 15625 Min: 14925.37 / Avg: 15076.13 / Max: 15151.52 Min: 14705.88 / Avg: 14779.05 / Max: 14925.37 Min: 13698.63 / Avg: 13825.47 / Max: 13888.89 Min: 13698.63 / Avg: 13762.05 / Max: 13888.89 Min: 13513.51 / Avg: 13703.84 / Max: 14084.51 Min: 13333.33 / Avg: 13578.58 / Max: 13888.89 Min: 13333.33 / Avg: 13394.22 / Max: 13698.63 Min: 13157.89 / Avg: 13334.91 / Max: 13513.51 Min: 12987.01 / Avg: 13219.47 / Max: 13513.51 Min: 12987.01 / Avg: 13217.89 / Max: 13333.33 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13043.97 / Max: 13157.89 Min: 12820.51 / Avg: 12991.45 / Max: 13333.33 Min: 12820.51 / Avg: 12932.97 / Max: 13157.89 Min: 12500 / Avg: 12826.14 / Max: 13157.89 Min: 12345.68 / Avg: 12580.09 / Max: 12658.23 Min: 12345.68 / Avg: 12554.04 / Max: 12658.23 Min: 12195.12 / Avg: 12295.49 / Max: 12345.68 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
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 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7F72 EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 15.44 15.86 15.87 15.91 15.92 16.10 16.13 16.28 16.32 16.65 16.79 16.98 18.48 18.92 19.81 21.45 21.84 24.63 26.18 26.47 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7F72 EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 15.31 / Avg: 15.44 / Max: 15.53 Min: 15.72 / Avg: 15.86 / Max: 16.06 Min: 15.77 / Avg: 15.87 / Max: 15.96 Min: 15.78 / Avg: 15.91 / Max: 16.06 Min: 15.62 / Avg: 15.92 / Max: 16.18 Min: 15.99 / Avg: 16.1 / Max: 16.31 Min: 15.95 / Avg: 16.13 / Max: 16.32 Min: 16.15 / Avg: 16.28 / Max: 16.44 Min: 16.1 / Avg: 16.32 / Max: 16.52 Min: 16.55 / Avg: 16.65 / Max: 16.77 Min: 16.72 / Avg: 16.79 / Max: 16.88 Min: 16.83 / Avg: 16.98 / Max: 17.08 Min: 18.4 / Avg: 18.48 / Max: 18.57 Min: 18.88 / Avg: 18.92 / Max: 18.95 Min: 19.75 / Avg: 19.81 / Max: 19.86 Min: 21.38 / Avg: 21.45 / Max: 21.59 Min: 21.75 / Avg: 21.84 / Max: 21.96 Min: 24.56 / Avg: 24.63 / Max: 24.77 Min: 26.12 / Avg: 26.18 / Max: 26.25 Min: 26.32 / Avg: 26.47 / Max: 26.75
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 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 20K 40K 60K 80K 100K SE +/- 13.28, N = 5 SE +/- 34.39, N = 5 SE +/- 23.52, N = 5 SE +/- 32.77, N = 5 SE +/- 35.94, N = 5 SE +/- 27.16, N = 5 SE +/- 14.01, N = 5 SE +/- 22.12, N = 5 SE +/- 40.08, N = 5 SE +/- 15.92, N = 5 SE +/- 18.34, N = 5 SE +/- 12.50, N = 5 SE +/- 23.76, N = 5 SE +/- 18.08, N = 5 SE +/- 12.81, N = 5 SE +/- 86.08, N = 5 SE +/- 12.43, N = 5 SE +/- 29.37, N = 5 SE +/- 33.21, N = 5 SE +/- 7.59, N = 5 91926.7 91183.6 90802.5 90228.3 89704.6 88756.6 88258.2 82215.9 81278.9 80513.0 79953.8 79643.9 79634.2 79627.0 79606.6 79301.4 52350.5 52030.3 51571.1 51217.1 1. (CC) gcc options: -O3 -march=native -fopenmp Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 16K 32K 48K 64K 80K Min: 91885.9 / Avg: 91926.68 / Max: 91960.2 Min: 91080.3 / Avg: 91183.56 / Max: 91262.4 Min: 90737.9 / Avg: 90802.52 / Max: 90873.1 Min: 90109.3 / Avg: 90228.28 / Max: 90303.3 Min: 89606.3 / Avg: 89704.6 / Max: 89822.2 Min: 88696.8 / Avg: 88756.64 / Max: 88824.7 Min: 88222.2 / Avg: 88258.16 / Max: 88304.6 Min: 82156.7 / Avg: 82215.88 / Max: 82275.5 Min: 81165 / Avg: 81278.94 / Max: 81396.4 Min: 80462.4 / Avg: 80513 / Max: 80556.1 Min: 79896.3 / Avg: 79953.78 / Max: 80003.9 Min: 79601.5 / Avg: 79643.86 / Max: 79678.1 Min: 79574.2 / Avg: 79634.24 / Max: 79689.4 Min: 79577.9 / Avg: 79627.04 / Max: 79677.1 Min: 79558.1 / Avg: 79606.62 / Max: 79628.9 Min: 79070.7 / Avg: 79301.44 / Max: 79534.5 Min: 52328.6 / Avg: 52350.52 / Max: 52398.9 Min: 51965.2 / Avg: 52030.26 / Max: 52108.8 Min: 51446.9 / Avg: 51571.1 / Max: 51646.4 Min: 51191.8 / Avg: 51217.06 / Max: 51236 1. (CC) gcc options: -O3 -march=native -fopenmp
Xsbench XSBench is a mini-app representing a key computational kernel of the Monte Carlo neutronics application OpenMC. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 1.4M 2.8M 4.2M 5.6M 7M SE +/- 10391.88, N = 3 SE +/- 3392.60, N = 3 SE +/- 11017.89, N = 3 SE +/- 4550.43, N = 3 SE +/- 2161.64, N = 3 SE +/- 11987.30, N = 3 SE +/- 1381.63, N = 3 SE +/- 1352.61, N = 3 SE +/- 10150.69, N = 3 SE +/- 11686.42, N = 3 SE +/- 12295.11, N = 3 SE +/- 74928.50, N = 3 SE +/- 8758.84, N = 3 SE +/- 15658.57, N = 3 SE +/- 4822.94, N = 3 SE +/- 4275.20, N = 3 SE +/- 1809.82, N = 3 SE +/- 9065.81, N = 3 SE +/- 6821.32, N = 3 SE +/- 3427.00, N = 3 6324546 6307291 6231095 6215179 6164612 5843383 5568287 5550661 5532974 5522472 5371013 5195397 4585335 4271821 4070067 3228017 2378481 2247000 2195652 2140186 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm Result Confidence
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 1.1M 2.2M 3.3M 4.4M 5.5M Min: 6311937 / Avg: 6324546 / Max: 6345159 Min: 6301349 / Avg: 6307291.33 / Max: 6313099 Min: 6213281 / Avg: 6231095.33 / Max: 6251235 Min: 6208570 / Avg: 6215179 / Max: 6223902 Min: 6161836 / Avg: 6164611.67 / Max: 6168870 Min: 5819818 / Avg: 5843383 / Max: 5858987 Min: 5566364 / Avg: 5568287 / Max: 5570967 Min: 5548140 / Avg: 5550661.33 / Max: 5552771 Min: 5521561 / Avg: 5532974.33 / Max: 5553221 Min: 5499170 / Avg: 5522471.67 / Max: 5535701 Min: 5346542 / Avg: 5371013 / Max: 5385343 Min: 5045873 / Avg: 5195397 / Max: 5278806 Min: 4568020 / Avg: 4585334.67 / Max: 4596295 Min: 4240519 / Avg: 4271821 / Max: 4288315 Min: 4060974 / Avg: 4070067 / Max: 4077401 Min: 3223580 / Avg: 3228016.67 / Max: 3236565 Min: 2375572 / Avg: 2378481.33 / Max: 2381801 Min: 2230117 / Avg: 2246999.67 / Max: 2261168 Min: 2186761 / Avg: 2195652.33 / Max: 2209059 Min: 2134305 / Avg: 2140185.67 / Max: 2146175 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC 7662 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7532 EPYC 7552 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 0.4148 0.8296 1.2444 1.6592 2.074 SE +/- 0.002637, N = 3 SE +/- 0.000576, N = 3 SE +/- 0.002349, N = 3 SE +/- 0.001105, N = 3 SE +/- 0.004547, N = 3 SE +/- 0.051492, N = 12 SE +/- 0.005635, N = 3 SE +/- 0.003266, N = 3 SE +/- 0.002135, N = 3 SE +/- 0.003436, N = 3 SE +/- 0.003662, N = 3 SE +/- 0.007556, N = 9 SE +/- 0.006121, N = 3 SE +/- 0.009798, N = 15 SE +/- 0.005483, N = 3 SE +/- 0.011469, N = 3 SE +/- 0.015210, N = 3 SE +/- 0.024818, N = 4 SE +/- 0.002690, N = 3 SE +/- 0.006472, N = 3 0.508448 0.539435 0.551721 0.624560 0.636335 0.682353 0.692661 0.702869 0.712874 0.738508 0.749534 0.800377 0.861371 1.084500 1.175090 1.316400 1.496190 1.662110 1.713940 1.843760 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC 7662 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7532 EPYC 7552 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.5 / Avg: 0.51 / Max: 0.51 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.55 / Avg: 0.55 / Max: 0.56 Min: 0.62 / Avg: 0.62 / Max: 0.63 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.54 / Avg: 0.68 / Max: 0.95 Min: 0.68 / Avg: 0.69 / Max: 0.7 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.71 / Avg: 0.71 / Max: 0.72 Min: 0.73 / Avg: 0.74 / Max: 0.74 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 0.76 / Avg: 0.8 / Max: 0.83 Min: 0.85 / Avg: 0.86 / Max: 0.87 Min: 1.03 / Avg: 1.08 / Max: 1.21 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 1.3 / Avg: 1.32 / Max: 1.34 Min: 1.48 / Avg: 1.5 / Max: 1.53 Min: 1.63 / Avg: 1.66 / Max: 1.74 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.84 / Avg: 1.84 / Max: 1.86 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 48.99 48.34 46.27 46.23 45.97 42.87 42.56 41.60 40.73 38.66 35.22 34.46 33.75 31.17 28.30 25.63 22.38 21.75 21.55 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 48.71 / Avg: 48.99 / Max: 49.27 Min: 48.14 / Avg: 48.34 / Max: 48.48 Min: 46.19 / Avg: 46.27 / Max: 46.35 Min: 45.98 / Avg: 46.23 / Max: 46.37 Min: 45.92 / Avg: 45.97 / Max: 46.07 Min: 42.73 / Avg: 42.87 / Max: 42.94 Min: 42.44 / Avg: 42.56 / Max: 42.66 Min: 41.4 / Avg: 41.6 / Max: 41.77 Min: 40.64 / Avg: 40.73 / Max: 40.82 Min: 38.6 / Avg: 38.66 / Max: 38.77 Min: 35.08 / Avg: 35.22 / Max: 35.32 Min: 34.38 / Avg: 34.46 / Max: 34.56 Min: 33.59 / Avg: 33.75 / Max: 33.87 Min: 30.99 / Avg: 31.17 / Max: 31.33 Min: 28.15 / Avg: 28.3 / Max: 28.48 Min: 25.59 / Avg: 25.63 / Max: 25.68 Min: 22.34 / Avg: 22.38 / Max: 22.41 Min: 21.71 / Avg: 21.75 / Max: 21.78 Min: 21.55 / Avg: 21.55 / Max: 21.56 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7F32 EPYC 7F52 EPYC 7262 EPYC 7F72 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7532 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 13.75 15.38 15.74 16.20 16.29 16.31 16.45 16.88 16.93 17.28 17.65 17.94 17.96 18.17 18.25 18.31 18.39 18.44 18.63 19.03 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7F32 EPYC 7F52 EPYC 7262 EPYC 7F72 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7532 5 10 15 20 25 Min: 13.7 / Avg: 13.75 / Max: 13.81 Min: 15.29 / Avg: 15.38 / Max: 15.48 Min: 15.66 / Avg: 15.74 / Max: 15.82 Min: 16.17 / Avg: 16.2 / Max: 16.24 Min: 16.27 / Avg: 16.29 / Max: 16.3 Min: 16.27 / Avg: 16.31 / Max: 16.36 Min: 16.42 / Avg: 16.45 / Max: 16.47 Min: 16.78 / Avg: 16.88 / Max: 16.98 Min: 16.9 / Avg: 16.93 / Max: 16.95 Min: 17.22 / Avg: 17.28 / Max: 17.35 Min: 17.62 / Avg: 17.65 / Max: 17.69 Min: 17.92 / Avg: 17.94 / Max: 17.95 Min: 17.87 / Avg: 17.96 / Max: 18.06 Min: 17.98 / Avg: 18.17 / Max: 18.38 Min: 18.18 / Avg: 18.25 / Max: 18.39 Min: 18.27 / Avg: 18.31 / Max: 18.37 Min: 18.26 / Avg: 18.39 / Max: 18.63 Min: 18.23 / Avg: 18.44 / Max: 18.55 Min: 18.56 / Avg: 18.63 / Max: 18.69 Min: 18.79 / Avg: 19.03 / Max: 19.24
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 7F32 EPYC 7F72 EPYC 7252 EPYC 7F52 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7352 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7532 1600 3200 4800 6400 8000 SE +/- 27.00, N = 4 SE +/- 13.19, N = 4 SE +/- 67.27, N = 4 SE +/- 34.74, N = 4 SE +/- 23.71, N = 4 SE +/- 24.61, N = 4 SE +/- 49.93, N = 4 SE +/- 46.47, N = 4 SE +/- 20.46, N = 4 SE +/- 24.99, N = 4 SE +/- 46.36, N = 4 SE +/- 31.28, N = 4 SE +/- 42.04, N = 4 SE +/- 54.16, N = 4 SE +/- 61.44, N = 4 SE +/- 14.21, N = 4 SE +/- 37.54, N = 4 SE +/- 33.92, N = 4 SE +/- 16.56, N = 4 SE +/- 36.18, N = 4 4686 5216 5292 5461 5516 5924 5998 6581 7035 7038 7069 7075 7211 7217 7227 7242 7288 7391 7407 7470 Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7F32 EPYC 7F72 EPYC 7252 EPYC 7F52 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7552 EPYC 7352 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7532 1300 2600 3900 5200 6500 Min: 4611 / Avg: 4685.5 / Max: 4733 Min: 5179 / Avg: 5215.5 / Max: 5240 Min: 5161 / Avg: 5291.5 / Max: 5472 Min: 5376 / Avg: 5461.25 / Max: 5526 Min: 5452 / Avg: 5516.25 / Max: 5566 Min: 5879 / Avg: 5923.75 / Max: 5990 Min: 5871 / Avg: 5998.25 / Max: 6100 Min: 6450 / Avg: 6581.25 / Max: 6666 Min: 6980 / Avg: 7034.5 / Max: 7075 Min: 6980 / Avg: 7037.75 / Max: 7095 Min: 6961 / Avg: 7069.25 / Max: 7164 Min: 6986 / Avg: 7074.5 / Max: 7123 Min: 7118 / Avg: 7211 / Max: 7313 Min: 7119 / Avg: 7217.25 / Max: 7313 Min: 7055 / Avg: 7226.5 / Max: 7343 Min: 7204 / Avg: 7241.75 / Max: 7269 Min: 7188 / Avg: 7287.5 / Max: 7348 Min: 7328 / Avg: 7390.5 / Max: 7469 Min: 7374 / Avg: 7406.5 / Max: 7446 Min: 7396 / Avg: 7470.25 / Max: 7545
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 7F72 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7662 EPYC 7402P EPYC 7532 EPYC 7702 EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7302P EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 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 +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 15.31 15.40 15.56 15.72 15.73 15.77 15.89 15.89 16.05 16.10 16.38 16.52 16.67 16.88 16.89 16.93 17.24 18.93 20.01 20.30 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 7F72 EPYC 7F52 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7662 EPYC 7402P EPYC 7532 EPYC 7702 EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7302P EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 15.27 / Avg: 15.31 / Max: 15.36 Min: 15.39 / Avg: 15.4 / Max: 15.42 Min: 15.54 / Avg: 15.56 / Max: 15.57 Min: 15.7 / Avg: 15.72 / Max: 15.74 Min: 15.7 / Avg: 15.73 / Max: 15.76 Min: 15.75 / Avg: 15.77 / Max: 15.78 Min: 15.87 / Avg: 15.89 / Max: 15.91 Min: 15.85 / Avg: 15.89 / Max: 15.96 Min: 16.04 / Avg: 16.05 / Max: 16.06 Min: 16.05 / Avg: 16.1 / Max: 16.12 Min: 16.33 / Avg: 16.38 / Max: 16.46 Min: 16.49 / Avg: 16.52 / Max: 16.55 Min: 16.65 / Avg: 16.66 / Max: 16.68 Min: 16.78 / Avg: 16.88 / Max: 16.95 Min: 16.87 / Avg: 16.89 / Max: 16.95 Min: 16.87 / Avg: 16.93 / Max: 17 Min: 17.2 / Avg: 17.24 / Max: 17.28 Min: 18.9 / Avg: 18.93 / Max: 18.96 Min: 19.99 / Avg: 20.01 / Max: 20.03 Min: 20.28 / Avg: 20.3 / Max: 20.33 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 3 6 9 12 15 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.018, N = 5 SE +/- 0.012, N = 5 SE +/- 0.004, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.016, N = 5 SE +/- 0.003, N = 5 SE +/- 0.007, N = 5 SE +/- 0.008, N = 5 SE +/- 0.014, N = 5 SE +/- 0.009, N = 5 SE +/- 0.006, N = 5 SE +/- 0.003, N = 5 SE +/- 0.007, N = 5 SE +/- 0.016, N = 5 SE +/- 0.006, N = 5 8.515 8.569 8.997 9.736 9.844 9.890 9.895 9.899 9.927 9.931 10.008 10.025 10.026 10.051 10.058 10.303 10.307 10.418 10.419 10.490 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 3 6 9 12 15 Min: 8.49 / Avg: 8.51 / Max: 8.55 Min: 8.55 / Avg: 8.57 / Max: 8.59 Min: 8.95 / Avg: 9 / Max: 9.05 Min: 9.71 / Avg: 9.74 / Max: 9.76 Min: 9.83 / Avg: 9.84 / Max: 9.86 Min: 9.87 / Avg: 9.89 / Max: 9.92 Min: 9.87 / Avg: 9.9 / Max: 9.92 Min: 9.88 / Avg: 9.9 / Max: 9.94 Min: 9.91 / Avg: 9.93 / Max: 9.95 Min: 9.88 / Avg: 9.93 / Max: 9.97 Min: 10 / Avg: 10.01 / Max: 10.02 Min: 10.01 / Avg: 10.02 / Max: 10.05 Min: 10 / Avg: 10.03 / Max: 10.05 Min: 10.01 / Avg: 10.05 / Max: 10.09 Min: 10.03 / Avg: 10.06 / Max: 10.08 Min: 10.29 / Avg: 10.3 / Max: 10.33 Min: 10.3 / Avg: 10.31 / Max: 10.32 Min: 10.4 / Avg: 10.42 / Max: 10.44 Min: 10.37 / Avg: 10.42 / Max: 10.46 Min: 10.47 / Avg: 10.49 / Max: 10.5 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 0.7973 1.5946 2.3919 3.1892 3.9865 SE +/- 0.00451, N = 3 SE +/- 0.00299, N = 3 SE +/- 0.01607, N = 3 SE +/- 0.01751, N = 5 SE +/- 0.00044, N = 3 SE +/- 0.00983, N = 3 SE +/- 0.00098, N = 3 SE +/- 0.01782, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.01559, N = 3 SE +/- 0.00586, N = 3 SE +/- 0.01158, N = 3 SE +/- 0.01138, N = 3 SE +/- 0.02463, N = 3 SE +/- 0.01389, N = 3 SE +/- 0.03257, N = 3 SE +/- 0.01854, N = 3 SE +/- 0.01144, N = 3 SE +/- 0.01156, N = 3 SE +/- 0.00803, N = 3 1.17179 1.17917 1.22438 1.30689 1.32784 1.37066 1.49718 1.52009 1.71797 1.74833 1.81722 2.18140 2.28719 2.64623 2.67161 2.96316 2.99726 3.16012 3.52616 3.54349 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 1.17 / Avg: 1.18 / Max: 1.18 Min: 1.19 / Avg: 1.22 / Max: 1.25 Min: 1.28 / Avg: 1.31 / Max: 1.38 Min: 1.33 / Avg: 1.33 / Max: 1.33 Min: 1.35 / Avg: 1.37 / Max: 1.38 Min: 1.5 / Avg: 1.5 / Max: 1.5 Min: 1.49 / Avg: 1.52 / Max: 1.55 Min: 1.72 / Avg: 1.72 / Max: 1.72 Min: 1.72 / Avg: 1.75 / Max: 1.78 Min: 1.81 / Avg: 1.82 / Max: 1.83 Min: 2.16 / Avg: 2.18 / Max: 2.2 Min: 2.27 / Avg: 2.29 / Max: 2.31 Min: 2.62 / Avg: 2.65 / Max: 2.7 Min: 2.64 / Avg: 2.67 / Max: 2.69 Min: 2.9 / Avg: 2.96 / Max: 3.01 Min: 2.98 / Avg: 3 / Max: 3.03 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 3.53 / Avg: 3.54 / Max: 3.56 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Y-Cruncher Y-Cruncher is a multi-threaded Pi benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 6 12 18 24 30 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.018, N = 3 SE +/- 0.006, N = 3 SE +/- 0.020, N = 3 SE +/- 0.016, N = 3 SE +/- 0.014, N = 3 SE +/- 0.030, N = 3 SE +/- 0.002, N = 3 SE +/- 0.016, N = 3 SE +/- 0.053, N = 3 SE +/- 0.015, N = 3 SE +/- 0.023, N = 3 SE +/- 0.007, N = 3 8.189 8.356 8.666 8.697 8.954 9.410 9.417 9.558 9.593 9.989 10.630 11.955 12.411 14.043 15.297 18.688 21.365 22.699 24.758 24.972 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 6 12 18 24 30 Min: 8.18 / Avg: 8.19 / Max: 8.2 Min: 8.35 / Avg: 8.36 / Max: 8.37 Min: 8.65 / Avg: 8.67 / Max: 8.68 Min: 8.67 / Avg: 8.7 / Max: 8.72 Min: 8.94 / Avg: 8.95 / Max: 8.98 Min: 9.4 / Avg: 9.41 / Max: 9.42 Min: 9.41 / Avg: 9.42 / Max: 9.42 Min: 9.55 / Avg: 9.56 / Max: 9.56 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.98 / Avg: 9.99 / Max: 10 Min: 10.59 / Avg: 10.63 / Max: 10.66 Min: 11.93 / Avg: 11.96 / Max: 11.99 Min: 12.4 / Avg: 12.41 / Max: 12.44 Min: 13.98 / Avg: 14.04 / Max: 14.07 Min: 15.29 / Avg: 15.3 / Max: 15.3 Min: 18.67 / Avg: 18.69 / Max: 18.72 Min: 21.29 / Avg: 21.37 / Max: 21.47 Min: 22.68 / Avg: 22.7 / Max: 22.73 Min: 24.72 / Avg: 24.76 / Max: 24.8 Min: 24.97 / Avg: 24.97 / Max: 24.99
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 7 14 21 28 35 SE +/- 0.04381, N = 3 SE +/- 0.01530, N = 3 SE +/- 0.03439, N = 3 SE +/- 0.02805, N = 3 SE +/- 0.01406, N = 3 SE +/- 0.02559, N = 3 SE +/- 0.02817, N = 3 SE +/- 0.01212, N = 3 SE +/- 0.01623, N = 3 SE +/- 0.04417, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.05632, N = 3 SE +/- 0.04779, N = 3 SE +/- 0.05246, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.04039, N = 3 SE +/- 0.03995, N = 3 SE +/- 0.01830, N = 3 SE +/- 0.10006, N = 3 SE +/- 0.09439, N = 3 7.05688 7.06818 8.01491 8.12129 9.15479 9.69987 9.74450 10.06000 10.31610 10.53010 11.35090 13.04390 13.05300 15.38170 16.48410 20.34490 25.10930 28.66640 30.83500 30.85730 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 7 14 21 28 35 Min: 7 / Avg: 7.06 / Max: 7.14 Min: 7.04 / Avg: 7.07 / Max: 7.09 Min: 7.96 / Avg: 8.01 / Max: 8.08 Min: 8.09 / Avg: 8.12 / Max: 8.18 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 9.66 / Avg: 9.7 / Max: 9.75 Min: 9.69 / Avg: 9.74 / Max: 9.79 Min: 10.05 / Avg: 10.06 / Max: 10.08 Min: 10.3 / Avg: 10.32 / Max: 10.35 Min: 10.44 / Avg: 10.53 / Max: 10.58 Min: 11.33 / Avg: 11.35 / Max: 11.38 Min: 12.95 / Avg: 13.04 / Max: 13.14 Min: 12.98 / Avg: 13.05 / Max: 13.14 Min: 15.31 / Avg: 15.38 / Max: 15.48 Min: 16.35 / Avg: 16.48 / Max: 16.65 Min: 20.27 / Avg: 20.34 / Max: 20.41 Min: 25.04 / Avg: 25.11 / Max: 25.18 Min: 28.63 / Avg: 28.67 / Max: 28.7 Min: 30.64 / Avg: 30.84 / Max: 30.97 Min: 30.69 / Avg: 30.86 / Max: 31.02 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
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7352 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 12.77 12.85 13.65 14.84 15.04 15.13 15.17 15.20 15.25 15.25 15.28 15.35 15.50 15.54 15.60 15.66 15.66 15.67 15.73 15.96 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7352 4 8 12 16 20 Min: 12.73 / Avg: 12.77 / Max: 12.79 Min: 12.82 / Avg: 12.85 / Max: 12.88 Min: 13.6 / Avg: 13.65 / Max: 13.68 Min: 14.8 / Avg: 14.83 / Max: 14.87 Min: 15.02 / Avg: 15.04 / Max: 15.06 Min: 15.12 / Avg: 15.12 / Max: 15.13 Min: 15.05 / Avg: 15.17 / Max: 15.24 Min: 15.16 / Avg: 15.2 / Max: 15.28 Min: 15.23 / Avg: 15.25 / Max: 15.28 Min: 15.16 / Avg: 15.25 / Max: 15.37 Min: 15.24 / Avg: 15.28 / Max: 15.31 Min: 15.31 / Avg: 15.35 / Max: 15.42 Min: 15.39 / Avg: 15.5 / Max: 15.57 Min: 15.43 / Avg: 15.54 / Max: 15.63 Min: 15.54 / Avg: 15.6 / Max: 15.67 Min: 15.63 / Avg: 15.66 / Max: 15.69 Min: 15.6 / Avg: 15.66 / Max: 15.74 Min: 15.61 / Avg: 15.67 / Max: 15.75 Min: 15.66 / Avg: 15.72 / Max: 15.76 Min: 15.86 / Avg: 15.96 / Max: 16.04
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.150, N = 14 SE +/- 0.016, N = 3 SE +/- 0.019, N = 3 SE +/- 0.042, N = 3 SE +/- 0.010, N = 3 SE +/- 0.017, N = 3 SE +/- 0.035, N = 3 SE +/- 0.055, N = 3 SE +/- 0.024, N = 3 SE +/- 0.012, N = 3 SE +/- 0.022, N = 3 SE +/- 0.021, N = 3 SE +/- 0.186, N = 14 SE +/- 0.012, N = 3 SE +/- 0.013, N = 3 SE +/- 0.037, N = 3 SE +/- 0.170, N = 3 SE +/- 0.011, N = 3 SE +/- 0.053, N = 3 SE +/- 0.061, N = 3 9.973 10.101 10.122 10.688 10.765 10.873 10.937 10.956 10.959 11.030 11.100 11.205 11.222 11.229 11.296 11.554 11.603 11.700 11.885 12.183 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 9.75 / Avg: 9.97 / Max: 11.92 Min: 10.08 / Avg: 10.1 / Max: 10.13 Min: 10.09 / Avg: 10.12 / Max: 10.15 Min: 10.63 / Avg: 10.69 / Max: 10.77 Min: 10.75 / Avg: 10.77 / Max: 10.78 Min: 10.84 / Avg: 10.87 / Max: 10.89 Min: 10.87 / Avg: 10.94 / Max: 11 Min: 10.85 / Avg: 10.96 / Max: 11.03 Min: 10.93 / Avg: 10.96 / Max: 11.01 Min: 11.01 / Avg: 11.03 / Max: 11.05 Min: 11.06 / Avg: 11.1 / Max: 11.13 Min: 11.17 / Avg: 11.21 / Max: 11.24 Min: 10.92 / Avg: 11.22 / Max: 13.63 Min: 11.22 / Avg: 11.23 / Max: 11.25 Min: 11.28 / Avg: 11.3 / Max: 11.32 Min: 11.5 / Avg: 11.55 / Max: 11.62 Min: 11.42 / Avg: 11.6 / Max: 11.94 Min: 11.68 / Avg: 11.7 / Max: 11.72 Min: 11.78 / Avg: 11.88 / Max: 11.96 Min: 12.1 / Avg: 12.18 / Max: 12.3
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7402P EPYC 7542 EPYC 7502P EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7352 EPYC 7272 EPYC 7662 EPYC 7252 EPYC 7282 EPYC 7702 EPYC 7232P 10 20 30 40 50 37.68 38.56 40.22 42.12 42.34 42.51 42.72 42.80 43.03 43.34 43.99 44.09 44.33 44.84 44.94 44.95 45.12 45.12 45.35 45.68
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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 7 14 21 28 35 SE +/- 0.030, N = 3 SE +/- 0.089, N = 3 SE +/- 0.070, N = 3 SE +/- 0.052, N = 3 SE +/- 0.023, N = 3 SE +/- 0.009, N = 3 SE +/- 0.020, N = 3 SE +/- 0.135, N = 3 SE +/- 0.025, N = 3 SE +/- 0.060, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.112, N = 3 SE +/- 0.047, N = 3 SE +/- 0.070, N = 3 SE +/- 0.124, N = 3 SE +/- 0.047, N = 3 SE +/- 0.102, N = 3 SE +/- 0.042, N = 3 SE +/- 0.088, N = 3 7.679 8.301 8.343 8.384 9.761 9.796 9.819 9.981 10.151 10.772 11.532 13.366 13.488 14.890 15.273 20.377 23.290 24.688 25.669 28.157 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 6 12 18 24 30 Min: 7.63 / Avg: 7.68 / Max: 7.73 Min: 8.14 / Avg: 8.3 / Max: 8.44 Min: 8.27 / Avg: 8.34 / Max: 8.48 Min: 8.32 / Avg: 8.38 / Max: 8.49 Min: 9.72 / Avg: 9.76 / Max: 9.79 Min: 9.78 / Avg: 9.8 / Max: 9.81 Min: 9.79 / Avg: 9.82 / Max: 9.86 Min: 9.83 / Avg: 9.98 / Max: 10.25 Min: 10.1 / Avg: 10.15 / Max: 10.19 Min: 10.7 / Avg: 10.77 / Max: 10.89 Min: 11.51 / Avg: 11.53 / Max: 11.55 Min: 13.35 / Avg: 13.37 / Max: 13.39 Min: 13.28 / Avg: 13.49 / Max: 13.66 Min: 14.82 / Avg: 14.89 / Max: 14.98 Min: 15.17 / Avg: 15.27 / Max: 15.41 Min: 20.2 / Avg: 20.38 / Max: 20.62 Min: 23.21 / Avg: 23.29 / Max: 23.37 Min: 24.56 / Avg: 24.69 / Max: 24.89 Min: 25.59 / Avg: 25.67 / Max: 25.71 Min: 28.03 / Avg: 28.16 / Max: 28.33 1. (CXX) g++ options: -O2 -lOpenCL
GNU Octave Benchmark This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7532 EPYC 7252 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7352 2 4 6 8 10 SE +/- 0.029, N = 5 SE +/- 0.008, N = 5 SE +/- 0.022, N = 5 SE +/- 0.016, N = 5 SE +/- 0.033, N = 5 SE +/- 0.007, N = 5 SE +/- 0.027, N = 5 SE +/- 0.017, N = 5 SE +/- 0.075, N = 5 SE +/- 0.025, N = 5 SE +/- 0.010, N = 5 SE +/- 0.043, N = 5 SE +/- 0.018, N = 5 SE +/- 0.028, N = 5 SE +/- 0.056, N = 5 SE +/- 0.028, N = 5 SE +/- 0.074, N = 5 SE +/- 0.039, N = 5 SE +/- 0.038, N = 5 SE +/- 0.052, N = 5 7.447 7.538 7.982 8.145 8.246 8.288 8.313 8.322 8.357 8.381 8.439 8.515 8.524 8.529 8.541 8.579 8.674 8.704 8.718 8.777 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7532 EPYC 7252 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7352 3 6 9 12 15 Min: 7.37 / Avg: 7.45 / Max: 7.55 Min: 7.52 / Avg: 7.54 / Max: 7.56 Min: 7.91 / Avg: 7.98 / Max: 8.04 Min: 8.09 / Avg: 8.14 / Max: 8.18 Min: 8.17 / Avg: 8.25 / Max: 8.36 Min: 8.27 / Avg: 8.29 / Max: 8.31 Min: 8.26 / Avg: 8.31 / Max: 8.42 Min: 8.27 / Avg: 8.32 / Max: 8.37 Min: 8.27 / Avg: 8.36 / Max: 8.66 Min: 8.3 / Avg: 8.38 / Max: 8.45 Min: 8.41 / Avg: 8.44 / Max: 8.46 Min: 8.42 / Avg: 8.52 / Max: 8.61 Min: 8.49 / Avg: 8.52 / Max: 8.59 Min: 8.45 / Avg: 8.53 / Max: 8.62 Min: 8.41 / Avg: 8.54 / Max: 8.68 Min: 8.5 / Avg: 8.58 / Max: 8.64 Min: 8.54 / Avg: 8.67 / Max: 8.93 Min: 8.62 / Avg: 8.7 / Max: 8.83 Min: 8.63 / Avg: 8.72 / Max: 8.86 Min: 8.65 / Avg: 8.78 / Max: 8.91
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 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7352 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 1400 2800 4200 5600 7000 SE +/- 38.45, N = 4 SE +/- 44.91, N = 4 SE +/- 29.68, N = 4 SE +/- 63.10, N = 4 SE +/- 52.81, N = 4 SE +/- 38.97, N = 4 SE +/- 45.90, N = 4 SE +/- 43.33, N = 4 SE +/- 30.25, N = 4 SE +/- 40.00, N = 4 SE +/- 52.55, N = 4 SE +/- 22.38, N = 4 SE +/- 20.63, N = 4 SE +/- 70.51, N = 4 SE +/- 35.97, N = 4 SE +/- 37.98, N = 4 SE +/- 41.17, N = 4 SE +/- 38.12, N = 4 SE +/- 69.19, N = 4 SE +/- 31.24, N = 4 3724 3856 4123 4433 4541 4712 4856 5029 5051 5457 5633 5713 5727 5754 5808 5856 6196 6270 6443 6596 Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7352 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 1100 2200 3300 4400 5500 Min: 3675 / Avg: 3724.25 / Max: 3839 Min: 3739 / Avg: 3856 / Max: 3927 Min: 4069 / Avg: 4122.75 / Max: 4194 Min: 4326 / Avg: 4433.25 / Max: 4587 Min: 4417 / Avg: 4540.5 / Max: 4664 Min: 4618 / Avg: 4712 / Max: 4803 Min: 4734 / Avg: 4855.75 / Max: 4957 Min: 4903 / Avg: 5028.5 / Max: 5102 Min: 4966 / Avg: 5050.75 / Max: 5105 Min: 5386 / Avg: 5457.25 / Max: 5529 Min: 5484 / Avg: 5633 / Max: 5724 Min: 5658 / Avg: 5712.5 / Max: 5753 Min: 5686 / Avg: 5727 / Max: 5764 Min: 5574 / Avg: 5753.75 / Max: 5903 Min: 5746 / Avg: 5807.5 / Max: 5908 Min: 5756 / Avg: 5855.5 / Max: 5939 Min: 6082 / Avg: 6195.75 / Max: 6270 Min: 6211 / Avg: 6270 / Max: 6381 Min: 6285 / Avg: 6442.5 / Max: 6622 Min: 6503 / Avg: 6595.5 / Max: 6640
ArrayFire ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7F72 EPYC 7F32 EPYC 7642 EPYC 7232P EPYC 7502P EPYC 7F52 EPYC 7552 EPYC 7302P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7502 EPYC 7262 EPYC 7532 EPYC 7402P EPYC 7542 EPYC 7452 EPYC 7702 EPYC 7282 EPYC 7662 9 18 27 36 45 SE +/- 0.20, N = 3 SE +/- 0.49, N = 15 SE +/- 0.27, N = 15 SE +/- 0.42, N = 3 SE +/- 0.48, N = 15 SE +/- 0.23, N = 3 SE +/- 0.39, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 15 SE +/- 0.35, N = 15 SE +/- 0.44, N = 15 SE +/- 0.63, N = 3 SE +/- 0.48, N = 15 SE +/- 0.27, N = 3 SE +/- 0.58, N = 3 SE +/- 0.25, N = 3 SE +/- 0.90, N = 12 SE +/- 0.44, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 34.31 34.42 34.66 34.67 34.68 34.69 35.42 35.44 36.01 36.46 37.04 38.35 38.46 38.99 39.06 39.86 39.89 40.10 40.48 41.08 1. (CXX) g++ options: -rdynamic Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7F72 EPYC 7F32 EPYC 7642 EPYC 7232P EPYC 7502P EPYC 7F52 EPYC 7552 EPYC 7302P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7502 EPYC 7262 EPYC 7532 EPYC 7402P EPYC 7542 EPYC 7452 EPYC 7702 EPYC 7282 EPYC 7662 9 18 27 36 45 Min: 34.07 / Avg: 34.31 / Max: 34.7 Min: 32.46 / Avg: 34.42 / Max: 39.15 Min: 33.09 / Avg: 34.66 / Max: 37.07 Min: 34.08 / Avg: 34.67 / Max: 35.48 Min: 33.32 / Avg: 34.68 / Max: 39.23 Min: 34.28 / Avg: 34.69 / Max: 35.08 Min: 34.79 / Avg: 35.42 / Max: 36.14 Min: 35.25 / Avg: 35.44 / Max: 35.69 Min: 34.31 / Avg: 36.01 / Max: 39.06 Min: 33.78 / Avg: 36.46 / Max: 38.67 Min: 34.83 / Avg: 37.04 / Max: 40.58 Min: 37.1 / Avg: 38.35 / Max: 38.99 Min: 36.04 / Avg: 38.46 / Max: 41.61 Min: 38.52 / Avg: 38.99 / Max: 39.44 Min: 38.24 / Avg: 39.06 / Max: 40.17 Min: 39.35 / Avg: 39.86 / Max: 40.14 Min: 36.69 / Avg: 39.89 / Max: 48.24 Min: 39.24 / Avg: 40.1 / Max: 40.64 Min: 40.41 / Avg: 40.48 / Max: 40.58 Min: 40.94 / Avg: 41.08 / Max: 41.36 1. (CXX) g++ options: -rdynamic
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p EPYC 7F52 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7452 EPYC 7642 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.68, N = 3 SE +/- 0.25, N = 3 SE +/- 0.31, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 60.10 51.25 50.06 48.64 48.62 48.43 48.42 48.18 47.91 47.76 47.41 47.29 47.04 46.48 46.25 46.17 39.72 37.92 37.45 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p EPYC 7F52 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7452 EPYC 7642 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 59.89 / Avg: 60.1 / Max: 60.35 Min: 50.96 / Avg: 51.25 / Max: 51.53 Min: 49.8 / Avg: 50.06 / Max: 50.28 Min: 48.42 / Avg: 48.64 / Max: 48.79 Min: 48.35 / Avg: 48.62 / Max: 48.86 Min: 48.32 / Avg: 48.43 / Max: 48.49 Min: 48.22 / Avg: 48.42 / Max: 48.64 Min: 48.01 / Avg: 48.18 / Max: 48.3 Min: 47.82 / Avg: 47.91 / Max: 48.03 Min: 47.56 / Avg: 47.76 / Max: 47.91 Min: 47.31 / Avg: 47.41 / Max: 47.53 Min: 46.94 / Avg: 47.29 / Max: 47.49 Min: 46.56 / Avg: 47.04 / Max: 47.4 Min: 46.29 / Avg: 46.48 / Max: 46.78 Min: 45.22 / Avg: 46.25 / Max: 47.52 Min: 45.74 / Avg: 46.17 / Max: 46.61 Min: 39.28 / Avg: 39.72 / Max: 40.31 Min: 37.75 / Avg: 37.92 / Max: 38.03 Min: 37.05 / Avg: 37.45 / Max: 37.82 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.1.2 H.265 1080p Video Encoding EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7282 EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.37, N = 3 SE +/- 0.04, N = 3 61.96 61.69 52.50 51.07 50.25 49.53 49.38 49.28 48.97 48.90 48.81 48.40 47.76 47.36 47.12 46.60 46.49 40.39 38.71 38.59 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.1.2 H.265 1080p Video Encoding EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7502P EPYC 7282 EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 61.73 / Avg: 61.96 / Max: 62.25 Min: 61.33 / Avg: 61.69 / Max: 62.09 Min: 52.25 / Avg: 52.5 / Max: 52.9 Min: 51 / Avg: 51.07 / Max: 51.18 Min: 50.1 / Avg: 50.25 / Max: 50.53 Min: 49.3 / Avg: 49.53 / Max: 49.85 Min: 49.02 / Avg: 49.38 / Max: 49.67 Min: 49.16 / Avg: 49.28 / Max: 49.44 Min: 48.6 / Avg: 48.97 / Max: 49.3 Min: 48.74 / Avg: 48.9 / Max: 49.08 Min: 48.52 / Avg: 48.81 / Max: 49.11 Min: 48.01 / Avg: 48.4 / Max: 48.72 Min: 47.4 / Avg: 47.76 / Max: 48.09 Min: 47.1 / Avg: 47.36 / Max: 47.72 Min: 46.64 / Avg: 47.12 / Max: 47.59 Min: 46.28 / Avg: 46.6 / Max: 46.88 Min: 46.36 / Avg: 46.49 / Max: 46.6 Min: 40.24 / Avg: 40.39 / Max: 40.54 Min: 37.98 / Avg: 38.71 / Max: 39.2 Min: 38.52 / Avg: 38.59 / Max: 38.66 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 0.7793 1.5586 2.3379 3.1172 3.8965 SE +/- 0.001863, N = 3 SE +/- 0.001383, N = 3 SE +/- 0.002251, N = 3 SE +/- 0.000923, N = 3 SE +/- 0.001175, N = 3 SE +/- 0.001858, N = 3 SE +/- 0.002388, N = 3 SE +/- 0.003046, N = 3 SE +/- 0.002303, N = 3 SE +/- 0.002118, N = 3 SE +/- 0.003515, N = 3 SE +/- 0.000682, N = 3 SE +/- 0.004607, N = 3 SE +/- 0.001101, N = 3 SE +/- 0.004830, N = 3 SE +/- 0.007608, N = 3 SE +/- 0.009985, N = 3 SE +/- 0.006361, N = 3 SE +/- 0.004002, N = 3 SE +/- 0.016593, N = 3 0.719245 0.787011 0.806585 0.808188 0.904213 0.964679 0.988117 1.044080 1.065380 1.070150 1.153190 1.411110 1.417550 1.610260 1.755500 2.349540 2.771650 3.068100 3.214030 3.463720 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.8 / Avg: 0.81 / Max: 0.81 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.9 / Avg: 0.9 / Max: 0.91 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.06 / Avg: 1.07 / Max: 1.07 Min: 1.07 / Avg: 1.07 / Max: 1.07 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 1.41 / Avg: 1.42 / Max: 1.43 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.75 / Avg: 1.76 / Max: 1.76 Min: 2.34 / Avg: 2.35 / Max: 2.36 Min: 2.75 / Avg: 2.77 / Max: 2.78 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 3.21 / Avg: 3.21 / Max: 3.22 Min: 3.43 / Avg: 3.46 / Max: 3.49 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NeatBench NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7F52 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.28, N = 3 SE +/- 0.20, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 39.2 36.7 36.3 36.0 36.0 35.7 35.2 35.2 35.0 34.9 34.1 33.9 32.5 31.8 27.4 24.7 24.5 22.3 20.6 18.6 Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7F52 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 39 / Avg: 39.2 / Max: 39.5 Min: 36.6 / Avg: 36.7 / Max: 36.9 Min: 35.7 / Avg: 36.27 / Max: 36.6 Min: 35.7 / Avg: 36.03 / Max: 36.4 Min: 35.5 / Avg: 35.97 / Max: 36.5 Min: 35.4 / Avg: 35.7 / Max: 36.1 Min: 35.1 / Avg: 35.17 / Max: 35.2 Min: 35 / Avg: 35.2 / Max: 35.4 Min: 34.9 / Avg: 35.03 / Max: 35.2 Min: 34.7 / Avg: 34.9 / Max: 35.1 Min: 33.8 / Avg: 34.13 / Max: 34.6 Min: 33.7 / Avg: 33.9 / Max: 34.1 Min: 32.4 / Avg: 32.5 / Max: 32.6 Min: 31.6 / Avg: 31.77 / Max: 32 Min: 27.2 / Avg: 27.37 / Max: 27.5 Min: 24.5 / Avg: 24.67 / Max: 24.8 Min: 24 / Avg: 24.5 / Max: 24.8 Min: 22.2 / Avg: 22.27 / Max: 22.4 Min: 20.4 / Avg: 20.57 / Max: 20.7 Min: 18.5 / Avg: 18.63 / Max: 18.8
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7282 EPYC 7302P EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7272 EPYC 7662 EPYC 7352 EPYC 7532 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.028, N = 3 SE +/- 0.101, N = 7 SE +/- 0.033, N = 3 SE +/- 0.060, N = 3 SE +/- 0.026, N = 3 SE +/- 0.049, N = 3 SE +/- 0.035, N = 3 SE +/- 0.030, N = 3 SE +/- 0.005, N = 3 SE +/- 0.060, N = 3 SE +/- 0.023, N = 3 SE +/- 0.026, N = 3 SE +/- 0.010, N = 3 SE +/- 0.061, N = 3 SE +/- 0.044, N = 3 SE +/- 0.052, N = 3 SE +/- 0.040, N = 3 SE +/- 0.035, N = 3 SE +/- 0.036, N = 3 SE +/- 0.098, N = 3 9.044 9.131 9.165 9.737 9.912 9.919 9.986 10.039 10.078 10.153 10.242 10.293 10.338 10.346 10.428 10.544 10.581 10.680 10.853 11.050 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7542 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7282 EPYC 7302P EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7272 EPYC 7662 EPYC 7352 EPYC 7532 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.99 / Avg: 9.04 / Max: 9.07 Min: 8.99 / Avg: 9.13 / Max: 9.74 Min: 9.11 / Avg: 9.16 / Max: 9.22 Min: 9.65 / Avg: 9.74 / Max: 9.85 Min: 9.87 / Avg: 9.91 / Max: 9.96 Min: 9.83 / Avg: 9.92 / Max: 10 Min: 9.95 / Avg: 9.99 / Max: 10.06 Min: 10 / Avg: 10.04 / Max: 10.1 Min: 10.07 / Avg: 10.08 / Max: 10.09 Min: 10.06 / Avg: 10.15 / Max: 10.27 Min: 10.2 / Avg: 10.24 / Max: 10.27 Min: 10.24 / Avg: 10.29 / Max: 10.33 Min: 10.32 / Avg: 10.34 / Max: 10.35 Min: 10.26 / Avg: 10.35 / Max: 10.47 Min: 10.34 / Avg: 10.43 / Max: 10.48 Min: 10.49 / Avg: 10.54 / Max: 10.65 Min: 10.53 / Avg: 10.58 / Max: 10.66 Min: 10.62 / Avg: 10.68 / Max: 10.74 Min: 10.81 / Avg: 10.85 / Max: 10.93 Min: 10.91 / Avg: 11.05 / Max: 11.24
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 7452 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 4 8 12 16 20 SE +/- 0.271, N = 14 SE +/- 0.264, N = 15 SE +/- 0.103, N = 15 SE +/- 0.168, N = 3 SE +/- 0.106, N = 8 SE +/- 0.041, N = 3 SE +/- 0.094, N = 3 SE +/- 0.119, N = 15 SE +/- 0.113, N = 15 SE +/- 0.099, N = 12 14.569 14.359 13.605 13.535 10.132 8.892 7.218 5.854 4.288 4.118 1. (CXX) g++ options: -O3 -pthread -lm Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7452 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 4 8 12 16 20 Min: 12.88 / Avg: 14.57 / Max: 16.27 Min: 13.64 / Avg: 14.36 / Max: 16.59 Min: 13.17 / Avg: 13.6 / Max: 14.89 Min: 13.28 / Avg: 13.53 / Max: 13.85 Min: 9.86 / Avg: 10.13 / Max: 10.7 Min: 8.83 / Avg: 8.89 / Max: 8.97 Min: 7.06 / Avg: 7.22 / Max: 7.39 Min: 5.46 / Avg: 5.85 / Max: 7.34 Min: 4 / Avg: 4.29 / Max: 5.54 Min: 3.78 / Avg: 4.12 / Max: 4.65 1. (CXX) g++ options: -O3 -pthread -lm
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 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 50 100 150 200 250 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 243.77 243.21 219.29 218.50 182.84 168.05 167.97 162.20 152.48 149.44 134.24 114.47 108.28 90.31 83.37 68.59 58.90 50.44 48.61 47.79 Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 40 80 120 160 200 Min: 243.6 / Avg: 243.77 / Max: 243.91 Min: 242.78 / Avg: 243.21 / Max: 243.72 Min: 219.13 / Avg: 219.29 / Max: 219.46 Min: 218.04 / Avg: 218.5 / Max: 218.94 Min: 182.76 / Avg: 182.84 / Max: 182.93 Min: 167.87 / Avg: 168.05 / Max: 168.17 Min: 167.81 / Avg: 167.97 / Max: 168.11 Min: 162.12 / Avg: 162.2 / Max: 162.29 Min: 152.45 / Avg: 152.48 / Max: 152.51 Min: 149.35 / Avg: 149.44 / Max: 149.54 Min: 134.14 / Avg: 134.24 / Max: 134.33 Min: 114.38 / Avg: 114.47 / Max: 114.53 Min: 108.18 / Avg: 108.28 / Max: 108.44 Min: 90.19 / Avg: 90.31 / Max: 90.51 Min: 83.02 / Avg: 83.37 / Max: 83.54 Min: 68.53 / Avg: 68.59 / Max: 68.63 Min: 58.86 / Avg: 58.9 / Max: 58.95 Min: 50.41 / Avg: 50.44 / Max: 50.48 Min: 48.59 / Avg: 48.61 / Max: 48.62 Min: 47.7 / Avg: 47.79 / Max: 47.88
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.32, N = 3 SE +/- 0.32, N = 3 SE +/- 0.46, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 79.52 75.49 60.07 59.03 58.06 57.37 56.00 55.73 53.42 53.27 52.55 46.47 38.88 34.97 34.09 28.88 23.50 20.75 20.58 20.36 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 15 30 45 60 75 Min: 79.31 / Avg: 79.52 / Max: 79.64 Min: 75.26 / Avg: 75.49 / Max: 75.74 Min: 59.46 / Avg: 60.07 / Max: 60.53 Min: 58.58 / Avg: 59.03 / Max: 59.65 Min: 57.42 / Avg: 58.06 / Max: 58.94 Min: 56.98 / Avg: 57.37 / Max: 57.71 Min: 55.76 / Avg: 56 / Max: 56.32 Min: 55.4 / Avg: 55.73 / Max: 56.29 Min: 52.81 / Avg: 53.42 / Max: 53.91 Min: 53.02 / Avg: 53.27 / Max: 53.46 Min: 52.41 / Avg: 52.55 / Max: 52.81 Min: 46.14 / Avg: 46.47 / Max: 46.94 Min: 38.63 / Avg: 38.88 / Max: 39.04 Min: 34.78 / Avg: 34.97 / Max: 35.1 Min: 33.99 / Avg: 34.09 / Max: 34.19 Min: 28.86 / Avg: 28.88 / Max: 28.9 Min: 23.49 / Avg: 23.5 / Max: 23.53 Min: 20.72 / Avg: 20.75 / Max: 20.78 Min: 20.51 / Avg: 20.58 / Max: 20.64 Min: 20.33 / Avg: 20.36 / Max: 20.38 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Bork File Encrypter Bork is a small, cross-platform file encryption utility. It is written in Java and designed to be included along with the files it encrypts for long-term storage. This test measures the amount of time it takes to encrypt a sample file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7352 3 6 9 12 15 SE +/- 0.016, N = 3 SE +/- 0.042, N = 3 SE +/- 0.025, N = 3 SE +/- 0.020, N = 3 SE +/- 0.028, N = 3 SE +/- 0.027, N = 3 SE +/- 0.022, N = 3 SE +/- 0.018, N = 3 SE +/- 0.017, N = 3 SE +/- 0.036, N = 3 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.047, N = 3 SE +/- 0.036, N = 3 SE +/- 0.027, N = 3 SE +/- 0.027, N = 3 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 8.957 9.016 9.480 10.193 10.280 10.352 10.352 10.407 10.430 10.506 10.508 10.508 10.512 10.582 10.607 10.855 10.904 10.909 11.013 11.105 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7352 3 6 9 12 15 Min: 8.93 / Avg: 8.96 / Max: 8.98 Min: 8.97 / Avg: 9.02 / Max: 9.1 Min: 9.44 / Avg: 9.48 / Max: 9.53 Min: 10.15 / Avg: 10.19 / Max: 10.22 Min: 10.24 / Avg: 10.28 / Max: 10.33 Min: 10.3 / Avg: 10.35 / Max: 10.38 Min: 10.31 / Avg: 10.35 / Max: 10.38 Min: 10.38 / Avg: 10.41 / Max: 10.44 Min: 10.4 / Avg: 10.43 / Max: 10.45 Min: 10.44 / Avg: 10.51 / Max: 10.57 Min: 10.47 / Avg: 10.51 / Max: 10.55 Min: 10.49 / Avg: 10.51 / Max: 10.53 Min: 10.5 / Avg: 10.51 / Max: 10.53 Min: 10.54 / Avg: 10.58 / Max: 10.62 Min: 10.52 / Avg: 10.61 / Max: 10.67 Min: 10.78 / Avg: 10.86 / Max: 10.9 Min: 10.85 / Avg: 10.9 / Max: 10.93 Min: 10.86 / Avg: 10.91 / Max: 10.95 Min: 10.97 / Avg: 11.01 / Max: 11.05 Min: 11.08 / Avg: 11.11 / Max: 11.12
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7702 EPYC 7532 EPYC 7642 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.095, N = 3 SE +/- 0.036, N = 3 SE +/- 0.011, N = 3 SE +/- 0.041, N = 3 SE +/- 0.001, N = 3 SE +/- 0.039, N = 3 SE +/- 0.038, N = 3 SE +/- 0.036, N = 3 SE +/- 0.045, N = 3 SE +/- 0.051, N = 3 SE +/- 0.051, N = 3 SE +/- 0.041, N = 3 SE +/- 0.044, N = 3 SE +/- 0.138, N = 3 SE +/- 0.110, N = 3 SE +/- 0.057, N = 3 SE +/- 0.067, N = 3 SE +/- 0.065, N = 3 SE +/- 0.087, N = 3 SE +/- 0.113, N = 3 8.801 8.928 9.331 10.036 10.039 10.064 10.085 10.157 10.197 10.230 10.263 10.267 10.288 10.326 10.335 10.375 10.689 10.801 10.814 11.376 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7702 EPYC 7532 EPYC 7642 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.61 / Avg: 8.8 / Max: 8.91 Min: 8.86 / Avg: 8.93 / Max: 8.98 Min: 9.32 / Avg: 9.33 / Max: 9.35 Min: 9.96 / Avg: 10.04 / Max: 10.09 Min: 10.04 / Avg: 10.04 / Max: 10.04 Min: 9.99 / Avg: 10.06 / Max: 10.12 Min: 10.02 / Avg: 10.09 / Max: 10.15 Min: 10.09 / Avg: 10.16 / Max: 10.22 Min: 10.11 / Avg: 10.2 / Max: 10.27 Min: 10.16 / Avg: 10.23 / Max: 10.33 Min: 10.21 / Avg: 10.26 / Max: 10.37 Min: 10.2 / Avg: 10.27 / Max: 10.34 Min: 10.23 / Avg: 10.29 / Max: 10.37 Min: 10.17 / Avg: 10.33 / Max: 10.6 Min: 10.2 / Avg: 10.33 / Max: 10.55 Min: 10.3 / Avg: 10.37 / Max: 10.49 Min: 10.56 / Avg: 10.69 / Max: 10.78 Min: 10.73 / Avg: 10.8 / Max: 10.93 Min: 10.67 / Avg: 10.81 / Max: 10.97 Min: 11.16 / Avg: 11.38 / Max: 11.53 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7252 EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7352 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.027, N = 3 SE +/- 0.032, N = 3 SE +/- 0.045, N = 3 SE +/- 0.032, N = 3 SE +/- 0.019, N = 3 SE +/- 0.034, N = 3 SE +/- 0.016, N = 3 SE +/- 0.031, N = 3 SE +/- 0.021, N = 3 SE +/- 0.038, N = 3 SE +/- 0.021, N = 3 SE +/- 0.022, N = 3 SE +/- 0.029, N = 3 SE +/- 0.031, N = 3 SE +/- 0.021, N = 3 8.587 8.706 9.252 9.775 9.983 10.052 10.142 10.160 10.233 10.277 10.310 10.335 10.365 10.384 10.385 10.404 10.505 10.572 10.633 10.820 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7252 EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7352 3 6 9 12 15 Min: 8.56 / Avg: 8.59 / Max: 8.6 Min: 8.64 / Avg: 8.71 / Max: 8.74 Min: 9.23 / Avg: 9.25 / Max: 9.28 Min: 9.76 / Avg: 9.78 / Max: 9.8 Min: 9.94 / Avg: 9.98 / Max: 10.02 Min: 10 / Avg: 10.05 / Max: 10.1 Min: 10.09 / Avg: 10.14 / Max: 10.2 Min: 10.1 / Avg: 10.16 / Max: 10.25 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 10.25 / Avg: 10.28 / Max: 10.31 Min: 10.26 / Avg: 10.31 / Max: 10.38 Min: 10.32 / Avg: 10.34 / Max: 10.37 Min: 10.31 / Avg: 10.37 / Max: 10.41 Min: 10.35 / Avg: 10.38 / Max: 10.42 Min: 10.31 / Avg: 10.38 / Max: 10.44 Min: 10.36 / Avg: 10.4 / Max: 10.43 Min: 10.46 / Avg: 10.5 / Max: 10.53 Min: 10.53 / Avg: 10.57 / Max: 10.63 Min: 10.59 / Avg: 10.63 / Max: 10.69 Min: 10.78 / Avg: 10.82 / Max: 10.85
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 4 8 12 16 20 SE +/- 0.02153, N = 3 SE +/- 0.02803, N = 3 SE +/- 0.00856, N = 3 SE +/- 0.00797, N = 3 SE +/- 0.02211, N = 3 SE +/- 0.05097, N = 3 SE +/- 0.01621, N = 3 SE +/- 0.02491, N = 3 SE +/- 0.01224, N = 3 SE +/- 0.19470, N = 15 SE +/- 0.07025, N = 3 SE +/- 0.08801, N = 3 SE +/- 0.07563, N = 3 SE +/- 0.06206, N = 3 SE +/- 0.04114, N = 3 SE +/- 0.15066, N = 12 SE +/- 0.07675, N = 3 SE +/- 0.02292, N = 3 SE +/- 0.04289, N = 3 SE +/- 0.00870, N = 3 2.46068 2.55026 3.30193 3.30455 4.46722 4.47693 4.50760 4.74513 4.76807 5.44209 5.78518 6.22912 7.69441 7.84641 8.32494 9.86575 14.13350 14.66750 14.90570 15.31620 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 4 8 12 16 20 Min: 2.42 / Avg: 2.46 / Max: 2.48 Min: 2.5 / Avg: 2.55 / Max: 2.6 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 4.43 / Avg: 4.47 / Max: 4.51 Min: 4.38 / Avg: 4.48 / Max: 4.56 Min: 4.49 / Avg: 4.51 / Max: 4.54 Min: 4.71 / Avg: 4.75 / Max: 4.79 Min: 4.75 / Avg: 4.77 / Max: 4.79 Min: 4.39 / Avg: 5.44 / Max: 6.04 Min: 5.65 / Avg: 5.79 / Max: 5.87 Min: 6.06 / Avg: 6.23 / Max: 6.36 Min: 7.58 / Avg: 7.69 / Max: 7.84 Min: 7.74 / Avg: 7.85 / Max: 7.96 Min: 8.25 / Avg: 8.32 / Max: 8.4 Min: 8.21 / Avg: 9.87 / Max: 10.09 Min: 13.98 / Avg: 14.13 / Max: 14.24 Min: 14.62 / Avg: 14.67 / Max: 14.69 Min: 14.86 / Avg: 14.91 / Max: 14.99 Min: 15.3 / Avg: 15.32 / Max: 15.33 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
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7282 EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.34, N = 3 SE +/- 0.41, N = 3 SE +/- 0.12, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.33, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 109.17 107.99 98.47 96.32 67.24 66.17 65.37 62.73 62.57 62.00 61.84 61.50 61.32 60.11 52.60 46.93 44.95 43.46 43.20 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7282 EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 108.49 / Avg: 109.17 / Max: 109.57 Min: 107.18 / Avg: 107.99 / Max: 108.5 Min: 98.24 / Avg: 98.47 / Max: 98.62 Min: 96.05 / Avg: 96.32 / Max: 96.73 Min: 66.7 / Avg: 67.24 / Max: 67.55 Min: 65.63 / Avg: 66.17 / Max: 66.76 Min: 65.28 / Avg: 65.37 / Max: 65.44 Min: 62.6 / Avg: 62.73 / Max: 62.91 Min: 62.36 / Avg: 62.57 / Max: 62.98 Min: 61.62 / Avg: 62 / Max: 62.36 Min: 61.65 / Avg: 61.84 / Max: 62.19 Min: 61.15 / Avg: 61.5 / Max: 61.83 Min: 60.96 / Avg: 61.32 / Max: 61.6 Min: 59.79 / Avg: 60.11 / Max: 60.31 Min: 52.46 / Avg: 52.6 / Max: 52.77 Min: 46.83 / Avg: 46.93 / Max: 46.99 Min: 44.86 / Avg: 44.95 / Max: 45.09 Min: 43.44 / Avg: 43.46 / Max: 43.48 Min: 43.05 / Avg: 43.2 / Max: 43.38 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 3 6 9 12 15 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.013, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.042, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.024, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.017, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 8.087 8.124 8.856 9.260 9.266 9.396 9.400 9.404 9.436 9.446 9.528 9.543 9.550 9.556 9.564 9.832 9.836 9.887 9.907 10.024 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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 3 6 9 12 15 Min: 8.08 / Avg: 8.09 / Max: 8.09 Min: 8.12 / Avg: 8.12 / Max: 8.13 Min: 8.84 / Avg: 8.86 / Max: 8.87 Min: 9.24 / Avg: 9.26 / Max: 9.27 Min: 9.25 / Avg: 9.27 / Max: 9.29 Min: 9.39 / Avg: 9.4 / Max: 9.4 Min: 9.39 / Avg: 9.4 / Max: 9.41 Min: 9.4 / Avg: 9.4 / Max: 9.41 Min: 9.39 / Avg: 9.44 / Max: 9.52 Min: 9.43 / Avg: 9.45 / Max: 9.46 Min: 9.52 / Avg: 9.53 / Max: 9.53 Min: 9.54 / Avg: 9.54 / Max: 9.55 Min: 9.54 / Avg: 9.55 / Max: 9.57 Min: 9.53 / Avg: 9.56 / Max: 9.6 Min: 9.56 / Avg: 9.56 / Max: 9.57 Min: 9.83 / Avg: 9.83 / Max: 9.84 Min: 9.83 / Avg: 9.84 / Max: 9.84 Min: 9.86 / Avg: 9.89 / Max: 9.92 Min: 9.9 / Avg: 9.91 / Max: 9.92 Min: 10.02 / Avg: 10.02 / Max: 10.03 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 3 6 9 12 15 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.037, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.012, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.026, N = 3 SE +/- 0.022, N = 3 8.138 8.174 8.552 9.295 9.435 9.435 9.436 9.441 9.449 9.477 9.578 9.589 9.591 9.591 9.633 9.878 9.885 9.964 10.003 10.102 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 3 6 9 12 15 Min: 8.13 / Avg: 8.14 / Max: 8.15 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.55 / Avg: 8.55 / Max: 8.56 Min: 9.29 / Avg: 9.3 / Max: 9.3 Min: 9.43 / Avg: 9.44 / Max: 9.44 Min: 9.43 / Avg: 9.43 / Max: 9.44 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.4 / Avg: 9.45 / Max: 9.52 Min: 9.47 / Avg: 9.48 / Max: 9.48 Min: 9.56 / Avg: 9.58 / Max: 9.59 Min: 9.57 / Avg: 9.59 / Max: 9.6 Min: 9.58 / Avg: 9.59 / Max: 9.6 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.61 / Avg: 9.63 / Max: 9.65 Min: 9.88 / Avg: 9.88 / Max: 9.88 Min: 9.88 / Avg: 9.88 / Max: 9.9 Min: 9.95 / Avg: 9.96 / Max: 9.99 Min: 9.97 / Avg: 10 / Max: 10.06 Min: 10.06 / Avg: 10.1 / Max: 10.13 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7252 1200 2400 3600 4800 6000 SE +/- 18.72, N = 4 SE +/- 30.31, N = 4 SE +/- 19.39, N = 4 SE +/- 6.71, N = 4 SE +/- 23.46, N = 4 SE +/- 18.30, N = 4 SE +/- 8.63, N = 4 SE +/- 10.06, N = 4 SE +/- 26.34, N = 4 SE +/- 5.61, N = 4 SE +/- 2.06, N = 4 SE +/- 26.63, N = 4 SE +/- 8.68, N = 4 SE +/- 20.47, N = 4 SE +/- 16.79, N = 4 SE +/- 13.83, N = 4 SE +/- 13.86, N = 4 SE +/- 15.06, N = 4 SE +/- 19.97, N = 4 SE +/- 69.56, N = 5 4462 4653 4671 5077 5134 5150 5160 5168 5183 5188 5207 5239 5243 5268 5271 5358 5530 5554 5563 5795 Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7262 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7252 1000 2000 3000 4000 5000 Min: 4430 / Avg: 4461.75 / Max: 4507 Min: 4584 / Avg: 4653.25 / Max: 4730 Min: 4627 / Avg: 4671 / Max: 4711 Min: 5063 / Avg: 5076.75 / Max: 5093 Min: 5065 / Avg: 5133.5 / Max: 5168 Min: 5106 / Avg: 5149.75 / Max: 5190 Min: 5139 / Avg: 5159.75 / Max: 5178 Min: 5149 / Avg: 5167.75 / Max: 5191 Min: 5121 / Avg: 5182.5 / Max: 5243 Min: 5179 / Avg: 5187.5 / Max: 5204 Min: 5202 / Avg: 5207.25 / Max: 5211 Min: 5192 / Avg: 5238.75 / Max: 5315 Min: 5228 / Avg: 5243.25 / Max: 5267 Min: 5226 / Avg: 5268 / Max: 5324 Min: 5250 / Avg: 5271.25 / Max: 5321 Min: 5328 / Avg: 5358 / Max: 5382 Min: 5509 / Avg: 5530 / Max: 5570 Min: 5524 / Avg: 5554.25 / Max: 5594 Min: 5507 / Avg: 5563.25 / Max: 5595 Min: 5582 / Avg: 5794.8 / Max: 5963
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: VMAF Optimized - Input: Bosphorus 1080p EPYC 7542 EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 80 160 240 320 400 SE +/- 11.53, N = 12 SE +/- 1.61, N = 3 SE +/- 10.68, N = 12 SE +/- 10.42, N = 12 SE +/- 10.13, N = 12 SE +/- 9.97, N = 12 SE +/- 9.82, N = 12 SE +/- 11.01, N = 12 SE +/- 9.21, N = 12 SE +/- 8.97, N = 12 SE +/- 9.06, N = 12 SE +/- 6.80, N = 12 SE +/- 3.90, N = 12 SE +/- 2.88, N = 13 SE +/- 3.48, N = 12 SE +/- 2.23, N = 6 SE +/- 1.50, N = 3 SE +/- 1.30, N = 3 SE +/- 1.06, N = 3 SE +/- 1.25, N = 3 361.48 358.44 351.36 348.39 346.64 345.90 344.22 335.81 334.92 326.87 319.28 297.54 243.53 238.98 238.57 188.74 113.78 109.04 106.11 97.73 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p EPYC 7542 EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 60 120 180 240 300 Min: 235.48 / Avg: 361.48 / Max: 379.27 Min: 355.24 / Avg: 358.44 / Max: 360.36 Min: 234.28 / Avg: 351.36 / Max: 365.85 Min: 234.1 / Avg: 348.39 / Max: 361.88 Min: 235.57 / Avg: 346.64 / Max: 362.98 Min: 236.5 / Avg: 345.9 / Max: 360.58 Min: 236.59 / Avg: 344.22 / Max: 358.64 Min: 214.9 / Avg: 335.81 / Max: 350.06 Min: 234.28 / Avg: 334.92 / Max: 350.06 Min: 228.66 / Avg: 326.87 / Max: 340.72 Min: 220.02 / Avg: 319.28 / Max: 333.7 Min: 223.13 / Avg: 297.54 / Max: 309.12 Min: 200.8 / Avg: 243.53 / Max: 248.55 Min: 205.2 / Avg: 238.98 / Max: 245 Min: 200.6 / Avg: 238.57 / Max: 244.7 Min: 177.67 / Avg: 188.74 / Max: 191.63 Min: 110.82 / Avg: 113.78 / Max: 115.67 Min: 106.48 / Avg: 109.04 / Max: 110.74 Min: 104 / Avg: 106.11 / Max: 107.2 Min: 95.24 / Avg: 97.73 / Max: 99.01 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
FFmpeg This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7302P EPYC 7282 EPYC 7232P EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7532 3 6 9 12 15 SE +/- 0.014, N = 3 SE +/- 0.025, N = 3 SE +/- 0.049, N = 3 SE +/- 0.034, N = 3 SE +/- 0.041, N = 3 SE +/- 0.037, N = 3 SE +/- 0.091, N = 3 SE +/- 0.012, N = 3 SE +/- 0.124, N = 3 SE +/- 0.060, N = 3 SE +/- 0.029, N = 3 SE +/- 0.060, N = 3 SE +/- 0.080, N = 3 SE +/- 0.086, N = 3 SE +/- 0.032, N = 3 SE +/- 0.101, N = 3 7.182 7.331 7.603 9.051 9.250 9.291 9.295 9.426 9.472 9.504 9.571 9.613 9.692 9.842 9.965 10.026 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7302P EPYC 7282 EPYC 7232P EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7532 3 6 9 12 15 Min: 7.16 / Avg: 7.18 / Max: 7.21 Min: 7.3 / Avg: 7.33 / Max: 7.38 Min: 7.52 / Avg: 7.6 / Max: 7.69 Min: 9 / Avg: 9.05 / Max: 9.12 Min: 9.2 / Avg: 9.25 / Max: 9.33 Min: 9.23 / Avg: 9.29 / Max: 9.36 Min: 9.13 / Avg: 9.29 / Max: 9.45 Min: 9.41 / Avg: 9.43 / Max: 9.45 Min: 9.33 / Avg: 9.47 / Max: 9.72 Min: 9.39 / Avg: 9.5 / Max: 9.57 Min: 9.52 / Avg: 9.57 / Max: 9.62 Min: 9.5 / Avg: 9.61 / Max: 9.7 Min: 9.54 / Avg: 9.69 / Max: 9.8 Min: 9.72 / Avg: 9.84 / Max: 10.01 Min: 9.9 / Avg: 9.97 / Max: 10 Min: 9.83 / Avg: 10.03 / Max: 10.16 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
Unpacking The Linux Kernel This test measures how long it takes to extract the .tar.xz Linux kernel package. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7F32 EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7262 EPYC 7232P 2 4 6 8 10 SE +/- 0.023, N = 4 SE +/- 0.015, N = 4 SE +/- 0.018, N = 4 SE +/- 0.024, N = 4 SE +/- 0.036, N = 4 SE +/- 0.015, N = 4 SE +/- 0.020, N = 4 SE +/- 0.013, N = 4 SE +/- 0.014, N = 4 SE +/- 0.006, N = 4 SE +/- 0.027, N = 4 SE +/- 0.022, N = 4 SE +/- 0.014, N = 4 SE +/- 0.030, N = 4 SE +/- 0.047, N = 4 SE +/- 0.027, N = 4 SE +/- 0.030, N = 4 SE +/- 0.024, N = 4 SE +/- 0.023, N = 4 SE +/- 0.014, N = 4 6.092 6.174 6.180 6.419 6.540 6.551 6.563 6.593 6.629 6.635 6.660 6.766 6.792 6.827 6.914 6.920 6.988 6.991 7.046 7.196 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7F32 EPYC 7F72 EPYC 7F52 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7252 EPYC 7262 EPYC 7232P 3 6 9 12 15 Min: 6.04 / Avg: 6.09 / Max: 6.15 Min: 6.13 / Avg: 6.17 / Max: 6.19 Min: 6.14 / Avg: 6.18 / Max: 6.23 Min: 6.35 / Avg: 6.42 / Max: 6.46 Min: 6.46 / Avg: 6.54 / Max: 6.63 Min: 6.53 / Avg: 6.55 / Max: 6.59 Min: 6.52 / Avg: 6.56 / Max: 6.62 Min: 6.57 / Avg: 6.59 / Max: 6.63 Min: 6.59 / Avg: 6.63 / Max: 6.65 Min: 6.63 / Avg: 6.64 / Max: 6.65 Min: 6.59 / Avg: 6.66 / Max: 6.71 Min: 6.73 / Avg: 6.77 / Max: 6.82 Min: 6.75 / Avg: 6.79 / Max: 6.82 Min: 6.77 / Avg: 6.83 / Max: 6.9 Min: 6.83 / Avg: 6.91 / Max: 7.05 Min: 6.87 / Avg: 6.92 / Max: 6.98 Min: 6.94 / Avg: 6.99 / Max: 7.07 Min: 6.93 / Avg: 6.99 / Max: 7.03 Min: 7 / Avg: 7.05 / Max: 7.1 Min: 7.16 / Avg: 7.2 / Max: 7.22
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 7F52 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7F32 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.019, N = 3 SE +/- 0.023, N = 3 SE +/- 0.017, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 SE +/- 0.031, N = 3 SE +/- 0.012, N = 3 SE +/- 0.029, N = 3 SE +/- 0.023, N = 3 SE +/- 0.023, N = 3 SE +/- 0.008, N = 3 SE +/- 0.020, N = 3 SE +/- 0.007, N = 3 SE +/- 0.021, N = 3 SE +/- 0.034, N = 3 SE +/- 0.006, N = 3 SE +/- 0.043, N = 3 SE +/- 0.034, N = 3 7.452 7.639 8.053 8.151 8.156 8.174 8.195 8.206 8.232 8.251 8.282 8.286 8.343 8.815 8.894 8.934 9.236 9.270 9.746 9.854 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 7F52 EPYC 7F72 EPYC 7542 EPYC 7702 EPYC 7F32 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7552 EPYC 7532 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 7.44 / Avg: 7.45 / Max: 7.48 Min: 7.61 / Avg: 7.64 / Max: 7.66 Min: 8.03 / Avg: 8.05 / Max: 8.09 Min: 8.11 / Avg: 8.15 / Max: 8.18 Min: 8.12 / Avg: 8.16 / Max: 8.18 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.18 / Avg: 8.2 / Max: 8.21 Min: 8.15 / Avg: 8.21 / Max: 8.26 Min: 8.21 / Avg: 8.23 / Max: 8.25 Min: 8.22 / Avg: 8.25 / Max: 8.31 Min: 8.26 / Avg: 8.28 / Max: 8.33 Min: 8.24 / Avg: 8.29 / Max: 8.31 Min: 8.33 / Avg: 8.34 / Max: 8.36 Min: 8.78 / Avg: 8.81 / Max: 8.84 Min: 8.89 / Avg: 8.89 / Max: 8.91 Min: 8.9 / Avg: 8.93 / Max: 8.98 Min: 9.19 / Avg: 9.24 / Max: 9.3 Min: 9.26 / Avg: 9.27 / Max: 9.28 Min: 9.7 / Avg: 9.75 / Max: 9.83 Min: 9.79 / Avg: 9.85 / Max: 9.89 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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 24Aug2020 Model: Rhodopsin Protein EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7232P EPYC 7252 5 10 15 20 25 SE +/- 0.063, N = 3 SE +/- 0.228, N = 15 SE +/- 0.230, N = 15 SE +/- 0.232, N = 3 SE +/- 0.215, N = 15 SE +/- 0.211, N = 15 SE +/- 0.203, N = 5 SE +/- 0.242, N = 15 SE +/- 0.090, N = 3 SE +/- 0.177, N = 3 SE +/- 0.177, N = 15 SE +/- 0.137, N = 6 SE +/- 0.105, N = 3 SE +/- 0.199, N = 13 SE +/- 0.130, N = 15 SE +/- 0.205, N = 12 SE +/- 0.007, N = 3 SE +/- 0.185, N = 15 SE +/- 0.005, N = 3 SE +/- 0.114, N = 15 20.733 18.868 18.500 17.483 16.291 16.068 15.923 15.390 15.031 15.005 13.636 11.802 9.911 9.909 9.199 5.981 5.629 5.351 5.179 4.120 1. (CXX) g++ options: -O3 -pthread -lm Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7232P EPYC 7252 5 10 15 20 25 Min: 20.64 / Avg: 20.73 / Max: 20.85 Min: 17.98 / Avg: 18.87 / Max: 20.52 Min: 17.42 / Avg: 18.5 / Max: 20.22 Min: 17.07 / Avg: 17.48 / Max: 17.88 Min: 14.81 / Avg: 16.29 / Max: 17.5 Min: 13.91 / Avg: 16.07 / Max: 17.1 Min: 15.54 / Avg: 15.92 / Max: 16.65 Min: 13.7 / Avg: 15.39 / Max: 16.83 Min: 14.86 / Avg: 15.03 / Max: 15.17 Min: 14.83 / Avg: 15.01 / Max: 15.36 Min: 11.81 / Avg: 13.64 / Max: 14.45 Min: 11.32 / Avg: 11.8 / Max: 12.16 Min: 9.7 / Avg: 9.91 / Max: 10.04 Min: 7.78 / Avg: 9.91 / Max: 10.32 Min: 8.19 / Avg: 9.2 / Max: 9.67 Min: 5.4 / Avg: 5.98 / Max: 7.44 Min: 5.62 / Avg: 5.63 / Max: 5.64 Min: 4.56 / Avg: 5.35 / Max: 6.38 Min: 5.17 / Avg: 5.18 / Max: 5.19 Min: 3.76 / Avg: 4.12 / Max: 5.14 1. (CXX) g++ options: -O3 -pthread -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7642 EPYC 7532 EPYC 7F72 EPYC 7552 EPYC 7F52 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7542 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.00537, N = 3 SE +/- 0.00908, N = 3 SE +/- 0.01454, N = 3 SE +/- 0.03050, N = 3 SE +/- 0.01584, N = 3 SE +/- 0.02396, N = 15 SE +/- 0.03138, N = 3 SE +/- 0.00219, N = 3 SE +/- 0.03266, N = 3 SE +/- 0.04479, N = 3 SE +/- 0.02456, N = 3 SE +/- 0.01735, N = 3 SE +/- 0.00481, N = 3 SE +/- 0.03746, N = 3 SE +/- 0.04864, N = 8 SE +/- 0.00819, N = 3 SE +/- 0.04343, N = 3 SE +/- 0.03491, N = 3 SE +/- 0.04339, N = 3 SE +/- 0.04427, N = 3 1.51546 1.95077 2.04409 2.14490 2.16598 2.26438 2.71121 2.82606 2.86349 2.96037 2.96405 3.16025 3.22663 3.30438 4.60199 4.93430 6.11090 6.24150 6.55394 6.63195 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7642 EPYC 7532 EPYC 7F72 EPYC 7552 EPYC 7F52 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7542 EPYC 7352 EPYC 7F32 EPYC 7262 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 1.51 / Avg: 1.52 / Max: 1.53 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.02 / Avg: 2.04 / Max: 2.06 Min: 2.09 / Avg: 2.14 / Max: 2.19 Min: 2.14 / Avg: 2.17 / Max: 2.2 Min: 2.1 / Avg: 2.26 / Max: 2.37 Min: 2.65 / Avg: 2.71 / Max: 2.75 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.8 / Avg: 2.86 / Max: 2.91 Min: 2.89 / Avg: 2.96 / Max: 3.04 Min: 2.94 / Avg: 2.96 / Max: 3.01 Min: 3.13 / Avg: 3.16 / Max: 3.18 Min: 3.22 / Avg: 3.23 / Max: 3.23 Min: 3.26 / Avg: 3.3 / Max: 3.38 Min: 4.49 / Avg: 4.6 / Max: 4.92 Min: 4.92 / Avg: 4.93 / Max: 4.95 Min: 6.02 / Avg: 6.11 / Max: 6.16 Min: 6.17 / Avg: 6.24 / Max: 6.28 Min: 6.47 / Avg: 6.55 / Max: 6.61 Min: 6.57 / Avg: 6.63 / Max: 6.72 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7702 EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 3 6 9 12 15 SE +/- 0.00, 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 +/- 0.01, 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 +/- 0.01, 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 +/- 0.01, N = 3 5.29 5.51 5.62 6.58 6.62 6.66 6.75 6.76 6.81 6.85 6.98 6.99 7.13 7.14 7.25 7.89 8.07 8.40 8.84 9.16 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 7262 EPYC 7232P EPYC 7252 EPYC 7702 EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7272 3 6 9 12 15 Min: 5.29 / Avg: 5.29 / Max: 5.3 Min: 5.51 / Avg: 5.51 / Max: 5.52 Min: 5.61 / Avg: 5.62 / Max: 5.62 Min: 6.57 / Avg: 6.58 / Max: 6.6 Min: 6.6 / Avg: 6.62 / Max: 6.66 Min: 6.63 / Avg: 6.66 / Max: 6.67 Min: 6.73 / Avg: 6.75 / Max: 6.77 Min: 6.74 / Avg: 6.76 / Max: 6.78 Min: 6.8 / Avg: 6.81 / Max: 6.81 Min: 6.84 / Avg: 6.85 / Max: 6.86 Min: 6.97 / Avg: 6.98 / Max: 7 Min: 6.97 / Avg: 6.99 / Max: 7 Min: 7.12 / Avg: 7.13 / Max: 7.15 Min: 7.13 / Avg: 7.14 / Max: 7.15 Min: 7.24 / Avg: 7.25 / Max: 7.26 Min: 7.87 / Avg: 7.89 / Max: 7.9 Min: 8.05 / Avg: 8.07 / Max: 8.09 Min: 8.38 / Avg: 8.4 / Max: 8.43 Min: 8.82 / Avg: 8.84 / Max: 8.85 Min: 9.14 / Avg: 9.16 / Max: 9.18 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 4 8 12 16 20 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, 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 +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 2.725 2.746 3.253 3.286 4.190 4.501 4.501 4.640 4.882 5.069 5.596 6.409 7.046 8.323 8.645 11.566 14.278 16.427 17.146 17.441 1. (CC) gcc options: -static -fopenmp -O3 -march=native Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 4 8 12 16 20 Min: 2.72 / Avg: 2.72 / Max: 2.73 Min: 2.74 / Avg: 2.75 / Max: 2.75 Min: 3.25 / Avg: 3.25 / Max: 3.26 Min: 3.28 / Avg: 3.29 / Max: 3.29 Min: 4.19 / Avg: 4.19 / Max: 4.2 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 4.64 / Avg: 4.64 / Max: 4.64 Min: 4.88 / Avg: 4.88 / Max: 4.88 Min: 5.07 / Avg: 5.07 / Max: 5.07 Min: 5.59 / Avg: 5.6 / Max: 5.6 Min: 6.41 / Avg: 6.41 / Max: 6.41 Min: 7.05 / Avg: 7.05 / Max: 7.05 Min: 8.32 / Avg: 8.32 / Max: 8.32 Min: 8.64 / Avg: 8.65 / Max: 8.65 Min: 11.56 / Avg: 11.57 / Max: 11.57 Min: 14.27 / Avg: 14.28 / Max: 14.29 Min: 16.42 / Avg: 16.43 / Max: 16.44 Min: 17.15 / Avg: 17.15 / Max: 17.15 Min: 17.43 / Avg: 17.44 / Max: 17.45 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: Volumetric Caustic EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 4 8 12 16 20 SE +/- 0.00298, N = 3 SE +/- 0.00254, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00353, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.00234, N = 3 SE +/- 0.00885, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.03557, N = 3 SE +/- 0.01115, N = 3 SE +/- 0.00753, N = 3 SE +/- 0.00709, N = 3 SE +/- 0.06725, N = 3 SE +/- 0.00820, N = 3 SE +/- 0.10143, N = 4 SE +/- 0.03084, N = 3 SE +/- 0.07384, N = 3 SE +/- 0.02746, N = 3 SE +/- 0.03075, N = 3 SE +/- 0.12714, N = 3 4.36521 4.37212 4.39351 4.47072 4.50294 4.64995 4.65515 4.79450 4.88257 4.94904 5.22125 5.77336 7.05423 7.34207 7.66718 9.46552 13.78970 14.55650 14.72650 15.01350 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 7662 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 4 8 12 16 20 Min: 4.36 / Avg: 4.37 / Max: 4.37 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 4.49 / Avg: 4.5 / Max: 4.51 Min: 4.65 / Avg: 4.65 / Max: 4.65 Min: 4.65 / Avg: 4.66 / Max: 4.67 Min: 4.78 / Avg: 4.79 / Max: 4.82 Min: 4.85 / Avg: 4.88 / Max: 4.95 Min: 4.93 / Avg: 4.95 / Max: 4.97 Min: 5.21 / Avg: 5.22 / Max: 5.24 Min: 5.76 / Avg: 5.77 / Max: 5.79 Min: 6.95 / Avg: 7.05 / Max: 7.18 Min: 7.33 / Avg: 7.34 / Max: 7.35 Min: 7.47 / Avg: 7.67 / Max: 7.94 Min: 9.41 / Avg: 9.47 / Max: 9.51 Min: 13.65 / Avg: 13.79 / Max: 13.89 Min: 14.51 / Avg: 14.56 / Max: 14.6 Min: 14.7 / Avg: 14.73 / Max: 14.79 Min: 14.77 / Avg: 15.01 / Max: 15.2 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
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 40 80 120 160 200 SE +/- 0.30, N = 3 SE +/- 0.98, N = 3 SE +/- 0.93, N = 3 SE +/- 1.41, N = 3 SE +/- 0.63, N = 3 SE +/- 1.24, N = 3 SE +/- 0.47, N = 3 SE +/- 0.98, N = 3 SE +/- 0.13, N = 3 SE +/- 0.69, N = 3 SE +/- 0.91, N = 3 SE +/- 0.49, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 166.89 161.96 161.14 159.13 141.01 132.93 131.25 123.86 122.40 122.18 113.54 98.40 86.52 80.26 77.11 60.67 47.91 42.34 41.90 41.74 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 30 60 90 120 150 Min: 166.3 / Avg: 166.89 / Max: 167.32 Min: 160.26 / Avg: 161.96 / Max: 163.67 Min: 159.28 / Avg: 161.14 / Max: 162.21 Min: 157.52 / Avg: 159.13 / Max: 161.94 Min: 139.76 / Avg: 141.01 / Max: 141.74 Min: 130.61 / Avg: 132.93 / Max: 134.86 Min: 130.35 / Avg: 131.25 / Max: 131.96 Min: 121.9 / Avg: 123.86 / Max: 124.95 Min: 122.15 / Avg: 122.4 / Max: 122.57 Min: 120.87 / Avg: 122.18 / Max: 123.2 Min: 111.79 / Avg: 113.54 / Max: 114.83 Min: 97.42 / Avg: 98.4 / Max: 98.98 Min: 86.33 / Avg: 86.52 / Max: 86.86 Min: 80.02 / Avg: 80.26 / Max: 80.71 Min: 76.7 / Avg: 77.11 / Max: 77.39 Min: 60.39 / Avg: 60.67 / Max: 60.84 Min: 47.87 / Avg: 47.91 / Max: 47.98 Min: 41.96 / Avg: 42.34 / Max: 42.54 Min: 41.84 / Avg: 41.9 / Max: 41.97 Min: 41.42 / Avg: 41.74 / Max: 41.96 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7402P EPYC 7262 EPYC 7232P EPYC 7272 EPYC 7302P EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7252 EPYC 7532 EPYC 7352 2 4 6 8 10 SE +/- 0.034, N = 3 SE +/- 0.020, N = 3 SE +/- 0.022, N = 3 SE +/- 0.009, N = 3 SE +/- 0.013, N = 3 SE +/- 0.070, N = 3 SE +/- 0.061, N = 3 SE +/- 0.019, N = 3 SE +/- 0.036, N = 3 SE +/- 0.026, N = 3 SE +/- 0.018, N = 3 SE +/- 0.032, N = 3 SE +/- 0.017, N = 3 SE +/- 0.020, N = 3 SE +/- 0.024, N = 3 SE +/- 0.028, N = 3 SE +/- 0.020, N = 3 SE +/- 0.020, N = 3 SE +/- 0.027, N = 3 SE +/- 0.036, N = 3 6.582 6.733 6.957 7.225 7.348 7.349 7.394 7.400 7.432 7.444 7.510 7.542 7.543 7.557 7.561 7.623 7.654 7.665 7.947 8.006 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7402P EPYC 7262 EPYC 7232P EPYC 7272 EPYC 7302P EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7252 EPYC 7532 EPYC 7352 3 6 9 12 15 Min: 6.53 / Avg: 6.58 / Max: 6.65 Min: 6.69 / Avg: 6.73 / Max: 6.75 Min: 6.92 / Avg: 6.96 / Max: 7 Min: 7.21 / Avg: 7.23 / Max: 7.24 Min: 7.34 / Avg: 7.35 / Max: 7.37 Min: 7.23 / Avg: 7.35 / Max: 7.47 Min: 7.31 / Avg: 7.39 / Max: 7.51 Min: 7.38 / Avg: 7.4 / Max: 7.44 Min: 7.38 / Avg: 7.43 / Max: 7.5 Min: 7.41 / Avg: 7.44 / Max: 7.49 Min: 7.49 / Avg: 7.51 / Max: 7.55 Min: 7.49 / Avg: 7.54 / Max: 7.6 Min: 7.53 / Avg: 7.54 / Max: 7.58 Min: 7.52 / Avg: 7.56 / Max: 7.58 Min: 7.53 / Avg: 7.56 / Max: 7.61 Min: 7.58 / Avg: 7.62 / Max: 7.68 Min: 7.63 / Avg: 7.65 / Max: 7.69 Min: 7.63 / Avg: 7.67 / Max: 7.69 Min: 7.91 / Avg: 7.95 / Max: 8 Min: 7.94 / Avg: 8.01 / Max: 8.05
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7532 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7662 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7352 11K 22K 33K 44K 55K SE +/- 367.61, N = 3 SE +/- 501.34, N = 3 SE +/- 63.71, N = 3 SE +/- 29.67, N = 3 SE +/- 123.40, N = 3 SE +/- 228.23, N = 3 SE +/- 512.89, N = 3 SE +/- 138.35, N = 3 SE +/- 579.41, N = 4 SE +/- 305.95, N = 3 SE +/- 338.23, N = 3 SE +/- 510.01, N = 3 SE +/- 114.65, N = 3 SE +/- 711.03, N = 3 SE +/- 544.47, N = 3 SE +/- 152.30, N = 3 SE +/- 271.47, N = 3 SE +/- 144.01, N = 3 SE +/- 234.79, N = 3 SE +/- 246.81, N = 3 51156 51110 48606 45232 44914 43804 43788 43784 43678 43470 43441 43313 43205 43161 42921 42474 42331 42168 41567 40791 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7532 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7662 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7352 9K 18K 27K 36K 45K Min: 50607 / Avg: 51156 / Max: 51854 Min: 50319 / Avg: 51109.67 / Max: 52039 Min: 48531 / Avg: 48606.33 / Max: 48733 Min: 45173 / Avg: 45232.33 / Max: 45262 Min: 44672 / Avg: 44914.33 / Max: 45076 Min: 43491 / Avg: 43803.67 / Max: 44248 Min: 42803 / Avg: 43787.67 / Max: 44529 Min: 43585 / Avg: 43784 / Max: 44050 Min: 42352 / Avg: 43677.5 / Max: 44983 Min: 42923 / Avg: 43470 / Max: 43981 Min: 43033 / Avg: 43440.67 / Max: 44112 Min: 42679 / Avg: 43313 / Max: 44322 Min: 42985 / Avg: 43205 / Max: 43371 Min: 42186 / Avg: 43161 / Max: 44545 Min: 42256 / Avg: 42920.67 / Max: 44000 Min: 42203 / Avg: 42473.67 / Max: 42730 Min: 41797 / Avg: 42331 / Max: 42683 Min: 41880 / Avg: 42167.67 / Max: 42324 Min: 41198 / Avg: 41567 / Max: 42003 Min: 40320 / Avg: 40791.33 / Max: 41154 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -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: Magnetic Reconnection - Renderer: Path Tracer EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 9.36, N = 12 SE +/- 4.54, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 333.33 333.33 333.33 333.33 319.44 250.00 250.00 250.00 250.00 250.00 250.00 250.00 243.00 200.00 200.00 166.67 125.00 111.11 111.11 111.11 Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 250 / Avg: 319.44 / Max: 333.33 Min: 200 / Avg: 243.33 / Max: 250 Min: 166.67 / Avg: 166.67 / Max: 166.67 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7F52 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7F72 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.00074, N = 3 SE +/- 0.03325, N = 5 SE +/- 0.03168, N = 3 SE +/- 0.03350, N = 3 SE +/- 0.02811, N = 3 SE +/- 0.01728, N = 3 SE +/- 0.02435, N = 3 SE +/- 0.00965, N = 3 SE +/- 0.00977, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.01391, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.00417, N = 3 SE +/- 0.05589, N = 3 SE +/- 0.02406, N = 3 SE +/- 0.02111, N = 3 SE +/- 0.01009, N = 3 SE +/- 0.02707, N = 3 SE +/- 0.04064, N = 3 2.61369 2.76936 3.00812 3.08453 3.41464 3.66187 3.86201 3.90825 3.91971 3.92547 3.99262 4.10317 4.31821 4.32989 6.09158 6.60647 6.68499 6.98966 7.71084 8.11390 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7F52 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7F72 EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 2.61 / Avg: 2.61 / Max: 2.62 Min: 2.69 / Avg: 2.77 / Max: 2.89 Min: 2.95 / Avg: 3.01 / Max: 3.06 Min: 3.03 / Avg: 3.08 / Max: 3.15 Min: 3.36 / Avg: 3.41 / Max: 3.46 Min: 3.63 / Avg: 3.66 / Max: 3.69 Min: 3.83 / Avg: 3.86 / Max: 3.91 Min: 3.9 / Avg: 3.91 / Max: 3.93 Min: 3.9 / Avg: 3.92 / Max: 3.94 Min: 3.91 / Avg: 3.93 / Max: 3.94 Min: 3.97 / Avg: 3.99 / Max: 4.02 Min: 4.02 / Avg: 4.1 / Max: 4.15 Min: 4.27 / Avg: 4.32 / Max: 4.35 Min: 4.32 / Avg: 4.33 / Max: 4.34 Min: 6.03 / Avg: 6.09 / Max: 6.2 Min: 6.57 / Avg: 6.61 / Max: 6.65 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 6.97 / Avg: 6.99 / Max: 7.01 Min: 7.68 / Avg: 7.71 / Max: 7.76 Min: 8.06 / Avg: 8.11 / Max: 8.19 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 2K 4K 6K 8K 10K SE +/- 14.12, N = 3 SE +/- 8.20, N = 3 SE +/- 3.40, N = 3 SE +/- 8.69, N = 3 SE +/- 16.82, N = 3 SE +/- 2.98, N = 3 SE +/- 16.43, N = 3 SE +/- 5.42, N = 3 SE +/- 8.47, N = 3 SE +/- 6.46, N = 3 SE +/- 4.22, N = 3 SE +/- 10.39, N = 3 SE +/- 3.40, N = 3 SE +/- 42.92, N = 3 SE +/- 45.24, N = 3 SE +/- 12.66, N = 3 SE +/- 17.03, N = 3 SE +/- 19.95, N = 3 SE +/- 14.33, N = 3 SE +/- 10.11, N = 3 7899.6 7878.3 7482.1 6880.4 6868.2 6787.9 6787.6 6785.7 6773.0 6689.9 6686.3 6680.9 6679.4 6674.8 6648.8 6485.8 6480.9 6434.6 6408.3 6365.7 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 1400 2800 4200 5600 7000 Min: 7873.7 / Avg: 7899.6 / Max: 7922.3 Min: 7861.9 / Avg: 7878.3 / Max: 7886.5 Min: 7476.9 / Avg: 7482.1 / Max: 7488.5 Min: 6871 / Avg: 6880.43 / Max: 6897.8 Min: 6847.8 / Avg: 6868.23 / Max: 6901.6 Min: 6782.5 / Avg: 6787.9 / Max: 6792.8 Min: 6754.8 / Avg: 6787.57 / Max: 6806 Min: 6778.9 / Avg: 6785.7 / Max: 6796.4 Min: 6757.4 / Avg: 6773.03 / Max: 6786.5 Min: 6677.1 / Avg: 6689.87 / Max: 6698 Min: 6678.5 / Avg: 6686.27 / Max: 6693 Min: 6660.1 / Avg: 6680.87 / Max: 6692 Min: 6672.8 / Avg: 6679.4 / Max: 6684.1 Min: 6625.4 / Avg: 6674.8 / Max: 6760.3 Min: 6558.4 / Avg: 6648.77 / Max: 6697.7 Min: 6460.7 / Avg: 6485.83 / Max: 6501.1 Min: 6450.1 / Avg: 6480.9 / Max: 6508.9 Min: 6412.7 / Avg: 6434.57 / Max: 6474.4 Min: 6384 / Avg: 6408.33 / Max: 6433.6 Min: 6350.8 / Avg: 6365.73 / Max: 6385 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 198.33 197.43 188.50 173.39 171.97 170.79 170.68 170.62 170.56 170.25 168.31 168.19 168.10 168.05 167.80 163.28 163.10 162.52 161.77 160.53 1. (CC) gcc options: -O3 -rdynamic Result Confidence
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 40 80 120 160 200 Min: 198.25 / Avg: 198.33 / Max: 198.45 Min: 197.12 / Avg: 197.43 / Max: 197.67 Min: 188.45 / Avg: 188.5 / Max: 188.55 Min: 173.33 / Avg: 173.39 / Max: 173.45 Min: 171.84 / Avg: 171.97 / Max: 172.21 Min: 170.66 / Avg: 170.79 / Max: 170.86 Min: 170.38 / Avg: 170.68 / Max: 170.86 Min: 170.44 / Avg: 170.62 / Max: 170.93 Min: 170.01 / Avg: 170.56 / Max: 170.85 Min: 170.14 / Avg: 170.25 / Max: 170.31 Min: 168.27 / Avg: 168.31 / Max: 168.36 Min: 168.03 / Avg: 168.19 / Max: 168.29 Min: 167.92 / Avg: 168.1 / Max: 168.25 Min: 167.79 / Avg: 168.05 / Max: 168.26 Min: 167.71 / Avg: 167.8 / Max: 167.95 Min: 163.24 / Avg: 163.28 / Max: 163.35 Min: 162.9 / Avg: 163.1 / Max: 163.34 Min: 162.36 / Avg: 162.52 / Max: 162.8 Min: 161.41 / Avg: 161.77 / Max: 162.17 Min: 160.29 / Avg: 160.53 / Max: 160.67 1. (CC) gcc options: -O3 -rdynamic
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 7F52 EPYC 7F72 EPYC 7702 EPYC 7542 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F32 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, 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 +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 SE +/- 0.01, N = 3 5.32 5.39 5.67 5.69 5.73 5.76 5.77 5.79 5.80 5.83 5.91 5.92 6.11 6.27 6.35 6.45 6.77 6.97 7.30 7.39 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 7F52 EPYC 7F72 EPYC 7702 EPYC 7542 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F32 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 5.3 / Avg: 5.32 / Max: 5.35 Min: 5.38 / Avg: 5.39 / Max: 5.41 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 5.66 / Avg: 5.69 / Max: 5.71 Min: 5.72 / Avg: 5.73 / Max: 5.73 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 5.75 / Avg: 5.77 / Max: 5.79 Min: 5.78 / Avg: 5.79 / Max: 5.8 Min: 5.78 / Avg: 5.8 / Max: 5.83 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 5.88 / Avg: 5.91 / Max: 5.93 Min: 5.89 / Avg: 5.92 / Max: 5.95 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 6.26 / Avg: 6.27 / Max: 6.27 Min: 6.32 / Avg: 6.35 / Max: 6.38 Min: 6.43 / Avg: 6.45 / Max: 6.47 Min: 6.73 / Avg: 6.77 / Max: 6.81 Min: 6.97 / Avg: 6.97 / Max: 6.98 Min: 7.29 / Avg: 7.3 / Max: 7.31 Min: 7.38 / Avg: 7.39 / Max: 7.41 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7282 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.008, N = 3 SE +/- 0.036, N = 3 SE +/- 0.012, N = 3 SE +/- 0.017, N = 3 SE +/- 0.016, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.024, N = 3 SE +/- 0.008, N = 3 SE +/- 0.029, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.021, N = 3 5.145 5.512 5.694 5.873 5.894 5.915 5.922 5.970 5.974 6.039 6.077 6.121 6.248 6.298 6.584 6.590 1. (CXX) g++ options: -O3 -fPIC Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7282 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7352 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 5.14 / Avg: 5.15 / Max: 5.16 Min: 5.45 / Avg: 5.51 / Max: 5.57 Min: 5.68 / Avg: 5.69 / Max: 5.72 Min: 5.84 / Avg: 5.87 / Max: 5.9 Min: 5.86 / Avg: 5.89 / Max: 5.91 Min: 5.91 / Avg: 5.91 / Max: 5.92 Min: 5.9 / Avg: 5.92 / Max: 5.94 Min: 5.95 / Avg: 5.97 / Max: 6.02 Min: 5.94 / Avg: 5.97 / Max: 6.02 Min: 6.03 / Avg: 6.04 / Max: 6.06 Min: 6.03 / Avg: 6.08 / Max: 6.13 Min: 6.09 / Avg: 6.12 / Max: 6.15 Min: 6.24 / Avg: 6.25 / Max: 6.26 Min: 6.28 / Avg: 6.3 / Max: 6.32 Min: 6.56 / Avg: 6.58 / Max: 6.63 Min: 6.56 / Avg: 6.59 / Max: 6.63 1. (CXX) g++ options: -O3 -fPIC
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7302P EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7282 EPYC 7452 EPYC 7272 EPYC 7262 EPYC 7532 EPYC 7352 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.004, N = 3 SE +/- 0.011, N = 3 SE +/- 0.020, N = 3 SE +/- 0.008, N = 3 SE +/- 0.014, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.020, N = 3 SE +/- 0.009, N = 3 SE +/- 0.023, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.017, N = 3 SE +/- 0.024, N = 3 SE +/- 0.016, N = 3 SE +/- 0.032, N = 3 5.031 5.231 5.562 5.715 5.722 5.803 5.820 5.826 5.840 5.846 5.905 5.924 5.940 6.169 6.233 6.258 1. (CXX) g++ options: -O3 -fPIC Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7302P EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7282 EPYC 7452 EPYC 7272 EPYC 7262 EPYC 7532 EPYC 7352 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 5.03 / Avg: 5.03 / Max: 5.04 Min: 5.21 / Avg: 5.23 / Max: 5.25 Min: 5.53 / Avg: 5.56 / Max: 5.6 Min: 5.7 / Avg: 5.72 / Max: 5.73 Min: 5.7 / Avg: 5.72 / Max: 5.75 Min: 5.78 / Avg: 5.8 / Max: 5.84 Min: 5.8 / Avg: 5.82 / Max: 5.85 Min: 5.79 / Avg: 5.83 / Max: 5.85 Min: 5.83 / Avg: 5.84 / Max: 5.86 Min: 5.81 / Avg: 5.85 / Max: 5.89 Min: 5.89 / Avg: 5.91 / Max: 5.93 Min: 5.91 / Avg: 5.92 / Max: 5.95 Min: 5.91 / Avg: 5.94 / Max: 5.97 Min: 6.13 / Avg: 6.17 / Max: 6.21 Min: 6.21 / Avg: 6.23 / Max: 6.26 Min: 6.2 / Avg: 6.26 / Max: 6.31 1. (CXX) g++ options: -O3 -fPIC
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7F72 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.013, N = 3 SE +/- 0.024, N = 3 SE +/- 0.045, N = 3 SE +/- 0.013, N = 3 SE +/- 0.020, N = 3 SE +/- 0.019, N = 3 SE +/- 0.045, N = 3 SE +/- 0.012, N = 3 SE +/- 0.054, N = 4 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 SE +/- 0.018, N = 3 SE +/- 0.034, N = 3 SE +/- 0.030, N = 3 SE +/- 0.074, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 3.311 3.410 3.481 3.602 3.648 3.700 3.701 3.720 3.725 3.741 3.796 4.050 4.105 4.432 5.503 5.695 6.347 6.456 6.767 7.276 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7F52 EPYC 7542 EPYC 7F72 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 3.29 / Avg: 3.31 / Max: 3.33 Min: 3.41 / Avg: 3.41 / Max: 3.41 Min: 3.47 / Avg: 3.48 / Max: 3.51 Min: 3.59 / Avg: 3.6 / Max: 3.63 Min: 3.62 / Avg: 3.65 / Max: 3.7 Min: 3.65 / Avg: 3.7 / Max: 3.79 Min: 3.69 / Avg: 3.7 / Max: 3.73 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 3.69 / Avg: 3.73 / Max: 3.76 Min: 3.69 / Avg: 3.74 / Max: 3.83 Min: 3.77 / Avg: 3.8 / Max: 3.81 Min: 3.91 / Avg: 4.05 / Max: 4.15 Min: 4.09 / Avg: 4.11 / Max: 4.14 Min: 4.42 / Avg: 4.43 / Max: 4.46 Min: 5.48 / Avg: 5.5 / Max: 5.54 Min: 5.66 / Avg: 5.69 / Max: 5.76 Min: 6.3 / Avg: 6.35 / Max: 6.4 Min: 6.36 / Avg: 6.46 / Max: 6.6 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 7.27 / Avg: 7.28 / Max: 7.29
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 1.31, N = 3 SE +/- 1.40, N = 3 SE +/- 0.42, N = 3 SE +/- 1.18, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.51, N = 3 SE +/- 0.22, N = 3 SE +/- 0.51, N = 3 SE +/- 0.59, N = 3 SE +/- 0.33, N = 3 SE +/- 0.15, N = 3 SE +/- 0.36, N = 3 SE +/- 0.19, N = 3 191.27 189.55 171.94 170.06 124.64 118.75 118.13 117.43 115.55 113.40 109.29 107.66 105.75 104.22 93.41 86.94 79.82 78.65 77.76 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7F32 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 189.77 / Avg: 191.27 / Max: 193.89 Min: 187.98 / Avg: 189.55 / Max: 192.35 Min: 171.12 / Avg: 171.94 / Max: 172.47 Min: 167.84 / Avg: 170.06 / Max: 171.84 Min: 124.22 / Avg: 124.64 / Max: 125.16 Min: 118.41 / Avg: 118.75 / Max: 118.92 Min: 117.77 / Avg: 118.13 / Max: 118.5 Min: 117.12 / Avg: 117.43 / Max: 117.72 Min: 115.5 / Avg: 115.55 / Max: 115.63 Min: 112.95 / Avg: 113.4 / Max: 114.21 Min: 108.92 / Avg: 109.29 / Max: 109.66 Min: 106.77 / Avg: 107.66 / Max: 108.55 Min: 105.49 / Avg: 105.75 / Max: 106.19 Min: 103.22 / Avg: 104.22 / Max: 104.87 Min: 92.24 / Avg: 93.41 / Max: 94.08 Min: 86.56 / Avg: 86.94 / Max: 87.6 Min: 79.53 / Avg: 79.82 / Max: 80.04 Min: 78.25 / Avg: 78.65 / Max: 79.37 Min: 77.38 / Avg: 77.76 / Max: 77.98 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7F52 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 1.3392 2.6784 4.0176 5.3568 6.696 SE +/- 0.020, N = 3 SE +/- 0.005, N = 3 SE +/- 0.015, N = 3 SE +/- 0.023, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 SE +/- 0.005, N = 3 SE +/- 0.041, N = 15 SE +/- 0.043, N = 3 SE +/- 0.008, N = 3 SE +/- 0.018, N = 3 SE +/- 0.032, N = 3 SE +/- 0.042, N = 4 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.015, N = 3 SE +/- 0.015, N = 3 SE +/- 0.017, N = 3 SE +/- 0.032, N = 3 2.438 2.486 2.503 2.554 2.607 2.612 2.699 2.805 2.891 2.907 2.981 3.190 3.216 3.292 3.540 4.428 4.820 5.326 5.917 5.952 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7F52 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 2.4 / Avg: 2.44 / Max: 2.47 Min: 2.48 / Avg: 2.49 / Max: 2.5 Min: 2.47 / Avg: 2.5 / Max: 2.52 Min: 2.52 / Avg: 2.55 / Max: 2.6 Min: 2.58 / Avg: 2.61 / Max: 2.63 Min: 2.59 / Avg: 2.61 / Max: 2.63 Min: 2.69 / Avg: 2.7 / Max: 2.71 Min: 2.39 / Avg: 2.8 / Max: 2.98 Min: 2.82 / Avg: 2.89 / Max: 2.97 Min: 2.89 / Avg: 2.91 / Max: 2.92 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 3.13 / Avg: 3.19 / Max: 3.24 Min: 3.11 / Avg: 3.22 / Max: 3.31 Min: 3.28 / Avg: 3.29 / Max: 3.3 Min: 3.53 / Avg: 3.54 / Max: 3.55 Min: 4.42 / Avg: 4.43 / Max: 4.45 Min: 4.8 / Avg: 4.82 / Max: 4.85 Min: 5.3 / Avg: 5.33 / Max: 5.35 Min: 5.88 / Avg: 5.92 / Max: 5.94 Min: 5.9 / Avg: 5.95 / Max: 6.01
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 7F72 EPYC 7542 EPYC 7F52 EPYC 7402P EPYC 7642 EPYC 7502P EPYC 7552 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 1.33, N = 3 SE +/- 2.67, N = 3 SE +/- 2.17, N = 3 SE +/- 2.39, N = 3 SE +/- 2.06, N = 3 SE +/- 1.50, N = 3 SE +/- 1.03, N = 3 SE +/- 1.38, N = 3 SE +/- 2.18, N = 3 SE +/- 1.97, N = 3 SE +/- 1.79, N = 3 SE +/- 2.22, N = 3 SE +/- 0.99, N = 3 SE +/- 1.17, N = 3 SE +/- 1.76, N = 3 SE +/- 1.66, N = 3 SE +/- 0.70, N = 3 SE +/- 1.00, N = 3 SE +/- 0.38, N = 3 SE +/- 0.41, N = 3 177.12 159.20 158.53 150.81 148.99 145.72 144.71 144.57 144.44 143.59 141.18 140.35 137.58 126.75 118.48 105.52 89.29 77.48 71.66 71.60 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7F72 EPYC 7542 EPYC 7F52 EPYC 7402P EPYC 7642 EPYC 7502P EPYC 7552 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 174.45 / Avg: 177.12 / Max: 178.56 Min: 153.88 / Avg: 159.2 / Max: 162.17 Min: 154.64 / Avg: 158.53 / Max: 162.16 Min: 146.07 / Avg: 150.81 / Max: 153.76 Min: 145.83 / Avg: 148.99 / Max: 152.86 Min: 142.97 / Avg: 145.72 / Max: 148.13 Min: 142.68 / Avg: 144.71 / Max: 145.98 Min: 141.86 / Avg: 144.57 / Max: 146.42 Min: 140.1 / Avg: 144.44 / Max: 146.97 Min: 140.36 / Avg: 143.59 / Max: 147.17 Min: 137.66 / Avg: 141.18 / Max: 143.49 Min: 135.93 / Avg: 140.35 / Max: 143 Min: 135.61 / Avg: 137.58 / Max: 138.59 Min: 124.48 / Avg: 126.75 / Max: 128.36 Min: 114.97 / Avg: 118.48 / Max: 120.28 Min: 102.21 / Avg: 105.52 / Max: 107.38 Min: 88.14 / Avg: 89.29 / Max: 90.57 Min: 75.5 / Avg: 77.48 / Max: 78.71 Min: 70.9 / Avg: 71.66 / Max: 72.05 Min: 70.79 / Avg: 71.6 / Max: 72.07 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Raytests EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7252 0.6466 1.2932 1.9398 2.5864 3.233 SE +/- 0.001325, N = 3 SE +/- 0.006708, N = 3 SE +/- 0.004888, N = 3 SE +/- 0.000667, N = 3 SE +/- 0.000749, N = 3 SE +/- 0.000407, N = 3 SE +/- 0.003514, N = 3 SE +/- 0.002052, N = 3 SE +/- 0.001364, N = 3 SE +/- 0.001274, N = 3 SE +/- 0.001561, N = 3 SE +/- 0.003016, N = 3 SE +/- 0.006182, N = 3 SE +/- 0.002314, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.003750, N = 3 SE +/- 0.005844, N = 3 SE +/- 0.002642, N = 3 SE +/- 0.002457, N = 3 SE +/- 0.009831, N = 3 2.316262 2.331713 2.449580 2.655180 2.690606 2.693092 2.696217 2.696305 2.709800 2.715117 2.732245 2.735240 2.740470 2.740498 2.768810 2.834173 2.837977 2.839029 2.868562 2.873772 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Raytests EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7252 2 4 6 8 10 Min: 2.31 / Avg: 2.32 / Max: 2.32 Min: 2.32 / Avg: 2.33 / Max: 2.34 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 2.65 / Avg: 2.66 / Max: 2.66 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.71 / Avg: 2.71 / Max: 2.71 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.73 / Avg: 2.74 / Max: 2.74 Min: 2.73 / Avg: 2.74 / Max: 2.75 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.77 / Avg: 2.77 / Max: 2.77 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.86 / Avg: 2.87 / Max: 2.87 Min: 2.86 / Avg: 2.87 / Max: 2.89 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
System GZIP Decompression This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 0.884 1.768 2.652 3.536 4.42 SE +/- 0.039, N = 5 SE +/- 0.040, N = 5 SE +/- 0.040, N = 5 SE +/- 0.049, N = 4 SE +/- 0.049, N = 4 SE +/- 0.053, N = 4 SE +/- 0.052, N = 4 SE +/- 0.053, N = 4 SE +/- 0.058, N = 3 SE +/- 0.063, N = 3 SE +/- 0.050, N = 4 SE +/- 0.050, N = 5 SE +/- 0.051, N = 4 SE +/- 0.059, N = 3 SE +/- 0.063, N = 3 SE +/- 0.052, N = 4 SE +/- 0.053, N = 4 SE +/- 0.063, N = 3 SE +/- 0.062, N = 3 SE +/- 0.067, N = 3 3.149 3.160 3.319 3.628 3.636 3.662 3.664 3.677 3.702 3.708 3.710 3.722 3.724 3.745 3.755 3.836 3.836 3.862 3.866 3.929 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 2 4 6 8 10 Min: 3.1 / Avg: 3.15 / Max: 3.31 Min: 3.1 / Avg: 3.16 / Max: 3.32 Min: 3.28 / Avg: 3.32 / Max: 3.48 Min: 3.57 / Avg: 3.63 / Max: 3.78 Min: 3.58 / Avg: 3.64 / Max: 3.78 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.61 / Avg: 3.68 / Max: 3.83 Min: 3.61 / Avg: 3.7 / Max: 3.81 Min: 3.64 / Avg: 3.71 / Max: 3.84 Min: 3.66 / Avg: 3.71 / Max: 3.86 Min: 3.66 / Avg: 3.72 / Max: 3.92 Min: 3.66 / Avg: 3.72 / Max: 3.88 Min: 3.68 / Avg: 3.75 / Max: 3.86 Min: 3.68 / Avg: 3.75 / Max: 3.88 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.79 / Avg: 3.86 / Max: 3.99 Min: 3.8 / Avg: 3.87 / Max: 3.99 Min: 3.85 / Avg: 3.93 / Max: 4.06
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7542 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7702 EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.022, N = 13 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.015, N = 3 SE +/- 0.016, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 1.924 1.933 1.955 1.974 1.999 2.012 2.030 2.042 2.084 2.113 2.131 2.290 2.318 2.479 2.653 3.261 3.527 4.007 4.059 4.253 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7542 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7702 EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.94 / Avg: 1.97 / Max: 2.24 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 2.02 / Avg: 2.03 / Max: 2.04 Min: 2.03 / Avg: 2.04 / Max: 2.06 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.09 / Avg: 2.11 / Max: 2.14 Min: 2.11 / Avg: 2.13 / Max: 2.16 Min: 2.29 / Avg: 2.29 / Max: 2.29 Min: 2.3 / Avg: 2.32 / Max: 2.34 Min: 2.47 / Avg: 2.48 / Max: 2.48 Min: 2.65 / Avg: 2.65 / Max: 2.66 Min: 3.25 / Avg: 3.26 / Max: 3.28 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 3.99 / Avg: 4.01 / Max: 4.02 Min: 4.05 / Avg: 4.06 / Max: 4.07 Min: 4.24 / Avg: 4.25 / Max: 4.27
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.00212, N = 3 SE +/- 0.02643, N = 3 SE +/- 0.00832, N = 3 SE +/- 0.04321, N = 3 SE +/- 0.00248, N = 3 SE +/- 0.00944, N = 3 SE +/- 0.02092, N = 3 SE +/- 0.04603, N = 5 SE +/- 0.03440, N = 3 SE +/- 0.02822, N = 3 SE +/- 0.04392, N = 3 SE +/- 0.01291, N = 3 SE +/- 0.03719, N = 3 SE +/- 0.05093, N = 3 SE +/- 0.07609, N = 12 SE +/- 0.10311, N = 3 SE +/- 0.03437, N = 3 SE +/- 0.01574, N = 3 SE +/- 0.05418, N = 3 SE +/- 0.17338, N = 15 2.38156 2.38303 2.53147 2.89609 3.06396 3.54460 3.69676 3.73096 3.76741 3.80272 3.88586 4.02047 4.24031 5.29105 5.73573 6.96020 6.98497 7.92355 8.64768 10.59006 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 2.38 / Avg: 2.38 / Max: 2.39 Min: 2.35 / Avg: 2.38 / Max: 2.44 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 2.83 / Avg: 2.9 / Max: 2.97 Min: 3.06 / Avg: 3.06 / Max: 3.07 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.67 / Avg: 3.7 / Max: 3.74 Min: 3.57 / Avg: 3.73 / Max: 3.85 Min: 3.72 / Avg: 3.77 / Max: 3.83 Min: 3.77 / Avg: 3.8 / Max: 3.86 Min: 3.82 / Avg: 3.89 / Max: 3.97 Min: 4 / Avg: 4.02 / Max: 4.04 Min: 4.18 / Avg: 4.24 / Max: 4.3 Min: 5.21 / Avg: 5.29 / Max: 5.38 Min: 5.47 / Avg: 5.74 / Max: 6.46 Min: 6.79 / Avg: 6.96 / Max: 7.14 Min: 6.94 / Avg: 6.98 / Max: 7.05 Min: 7.9 / Avg: 7.92 / Max: 7.95 Min: 8.57 / Avg: 8.65 / Max: 8.75 Min: 9.83 / Avg: 10.59 / Max: 12.11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 32 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 3K 6K 9K 12K 15K SE +/- 91.46, N = 3 SE +/- 23.39, N = 3 SE +/- 12.57, N = 3 SE +/- 45.96, N = 3 SE +/- 20.22, N = 3 SE +/- 99.28, N = 3 SE +/- 19.40, N = 3 SE +/- 16.44, N = 3 SE +/- 17.82, N = 3 SE +/- 12.03, N = 3 SE +/- 61.76, N = 3 SE +/- 24.18, N = 3 SE +/- 101.29, N = 11 SE +/- 14.15, N = 3 SE +/- 16.29, N = 3 SE +/- 57.25, N = 3 SE +/- 11.14, N = 3 SE +/- 44.12, N = 3 SE +/- 101.77, N = 3 SE +/- 26.03, N = 3 13599 13536 12827 11856 11708 11671 11652 11650 11589 11511 11488 11486 11479 11476 11459 11146 11081 11070 10973 10901 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7352 2K 4K 6K 8K 10K Min: 13417 / Avg: 13598.67 / Max: 13708 Min: 13491 / Avg: 13536.33 / Max: 13569 Min: 12803 / Avg: 12827.33 / Max: 12845 Min: 11771 / Avg: 11855.67 / Max: 11929 Min: 11668 / Avg: 11708.33 / Max: 11731 Min: 11474 / Avg: 11671 / Max: 11791 Min: 11623 / Avg: 11652.33 / Max: 11689 Min: 11625 / Avg: 11650 / Max: 11681 Min: 11567 / Avg: 11588.67 / Max: 11624 Min: 11493 / Avg: 11511.33 / Max: 11534 Min: 11390 / Avg: 11487.67 / Max: 11602 Min: 11452 / Avg: 11486.33 / Max: 11533 Min: 10588 / Avg: 11479.45 / Max: 11738 Min: 11452 / Avg: 11476.33 / Max: 11501 Min: 11427 / Avg: 11459.33 / Max: 11479 Min: 11050 / Avg: 11145.67 / Max: 11248 Min: 11059 / Avg: 11081 / Max: 11095 Min: 11001 / Avg: 11069.67 / Max: 11152 Min: 10770 / Avg: 10973.33 / Max: 11083 Min: 10858 / Avg: 10901.33 / Max: 10948 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -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: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7542 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 60 120 180 240 300 SE +/- 3.97, N = 3 SE +/- 1.86, N = 3 SE +/- 2.83, N = 3 SE +/- 2.25, N = 3 SE +/- 1.81, N = 3 SE +/- 1.54, N = 3 SE +/- 1.02, N = 3 SE +/- 2.06, N = 3 SE +/- 3.58, N = 4 SE +/- 3.11, N = 3 SE +/- 0.78, N = 3 SE +/- 0.95, N = 3 SE +/- 0.73, N = 3 SE +/- 0.83, N = 3 SE +/- 1.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.48, N = 3 SE +/- 0.37, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 297.18 291.00 288.70 286.20 286.10 285.23 282.53 278.50 275.88 266.03 260.38 241.17 202.89 201.17 196.52 159.41 95.61 87.66 85.67 80.77 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7542 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 50 100 150 200 250 Min: 291.26 / Avg: 297.18 / Max: 304.72 Min: 287.49 / Avg: 291 / Max: 293.83 Min: 283.42 / Avg: 288.7 / Max: 293.11 Min: 281.95 / Avg: 286.2 / Max: 289.58 Min: 282.89 / Avg: 286.1 / Max: 289.16 Min: 282.75 / Avg: 285.23 / Max: 288.05 Min: 280.5 / Avg: 282.53 / Max: 283.55 Min: 276.37 / Avg: 278.5 / Max: 282.62 Min: 267.74 / Avg: 275.88 / Max: 285.17 Min: 262.47 / Avg: 266.03 / Max: 272.23 Min: 259.29 / Avg: 260.38 / Max: 261.89 Min: 239.52 / Avg: 241.17 / Max: 242.82 Min: 201.82 / Avg: 202.89 / Max: 204.29 Min: 199.53 / Avg: 201.17 / Max: 202.16 Min: 194.11 / Avg: 196.52 / Max: 198.15 Min: 158.86 / Avg: 159.41 / Max: 159.7 Min: 95 / Avg: 95.61 / Max: 96.56 Min: 87.18 / Avg: 87.66 / Max: 88.39 Min: 85.3 / Avg: 85.67 / Max: 86.01 Min: 80.44 / Avg: 80.77 / Max: 81.16 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
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 7662 EPYC 7642 EPYC 7542 EPYC 7552 EPYC 7532 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K SE +/- 1672.04, N = 8 SE +/- 1908.61, N = 3 SE +/- 293.15, N = 3 SE +/- 252.72, N = 3 SE +/- 554.28, N = 3 SE +/- 320.50, N = 3 SE +/- 2123.40, N = 3 SE +/- 1104.18, N = 12 SE +/- 1254.13, N = 3 SE +/- 242.78, N = 3 SE +/- 334.89, N = 3 SE +/- 155.57, N = 3 SE +/- 473.52, N = 3 SE +/- 106.02, N = 3 SE +/- 120.56, N = 3 SE +/- 802.19, N = 3 SE +/- 68.82, N = 3 SE +/- 67.38, N = 3 SE +/- 219.73, N = 3 SE +/- 337.56, N = 3 160887.39 150648.47 143497.18 138431.07 135022.21 134830.00 134685.96 133908.92 124083.95 121525.13 109971.98 98750.37 91394.81 84934.71 76405.27 58471.22 52650.75 47744.98 44076.81 41087.46 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7552 EPYC 7532 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7F52 EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 30K 60K 90K 120K 150K Min: 158223.44 / Avg: 160887.39 / Max: 172237.35 Min: 148564.98 / Avg: 150648.47 / Max: 154460.18 Min: 142929.16 / Avg: 143497.18 / Max: 143906.96 Min: 137948.8 / Avg: 138431.07 / Max: 138803.22 Min: 134245.38 / Avg: 135022.21 / Max: 136095.53 Min: 134233.96 / Avg: 134830 / Max: 135332.24 Min: 130680.76 / Avg: 134685.96 / Max: 137911.4 Min: 121806.39 / Avg: 133908.92 / Max: 135449.55 Min: 121594.51 / Avg: 124083.95 / Max: 125594.29 Min: 121274.35 / Avg: 121525.13 / Max: 122010.6 Min: 109341.81 / Avg: 109971.98 / Max: 110483.57 Min: 98547.12 / Avg: 98750.37 / Max: 99056.01 Min: 90617.8 / Avg: 91394.81 / Max: 92252.2 Min: 84763.98 / Avg: 84934.71 / Max: 85128.98 Min: 76247.66 / Avg: 76405.27 / Max: 76642.11 Min: 57538.62 / Avg: 58471.22 / Max: 60068.11 Min: 52530.46 / Avg: 52650.75 / Max: 52768.82 Min: 47673.86 / Avg: 47744.98 / Max: 47879.67 Min: 43682.07 / Avg: 44076.81 / Max: 44441.44 Min: 40596.75 / Avg: 41087.46 / Max: 41734.37 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -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: Stock - Size: 1D FFT Size 32 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 2K 4K 6K 8K 10K SE +/- 14.56, N = 3 SE +/- 17.77, N = 3 SE +/- 6.72, N = 3 SE +/- 24.57, N = 3 SE +/- 9.46, N = 3 SE +/- 34.91, N = 3 SE +/- 11.00, N = 3 SE +/- 15.10, N = 3 SE +/- 17.27, N = 3 SE +/- 26.37, N = 3 SE +/- 25.41, N = 3 SE +/- 25.12, N = 3 SE +/- 26.00, N = 3 SE +/- 120.96, N = 12 SE +/- 11.62, N = 3 SE +/- 18.98, N = 3 SE +/- 13.57, N = 3 SE +/- 18.94, N = 3 SE +/- 64.79, N = 13 SE +/- 35.37, N = 3 9439.3 9421.5 8920.8 8220.9 8216.8 8134.5 8120.4 8109.5 8099.7 8026.0 8020.3 8006.0 7995.0 7964.4 7949.4 7745.0 7730.8 7723.8 7654.3 7612.7 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 1600 3200 4800 6400 8000 Min: 9411 / Avg: 9439.3 / Max: 9459.4 Min: 9400.9 / Avg: 9421.53 / Max: 9456.9 Min: 8907.4 / Avg: 8920.77 / Max: 8928.6 Min: 8173.5 / Avg: 8220.87 / Max: 8255.9 Min: 8199 / Avg: 8216.83 / Max: 8231.2 Min: 8082.8 / Avg: 8134.5 / Max: 8201 Min: 8098.4 / Avg: 8120.37 / Max: 8132.3 Min: 8082.1 / Avg: 8109.47 / Max: 8134.2 Min: 8080.9 / Avg: 8099.7 / Max: 8134.2 Min: 7994.6 / Avg: 8026 / Max: 8078.4 Min: 7974 / Avg: 8020.27 / Max: 8061.6 Min: 7973.4 / Avg: 8006 / Max: 8055.4 Min: 7964.9 / Avg: 7995.03 / Max: 8046.8 Min: 6641.2 / Avg: 7964.4 / Max: 8138.6 Min: 7926.3 / Avg: 7949.4 / Max: 7963.1 Min: 7711.3 / Avg: 7744.97 / Max: 7777 Min: 7709 / Avg: 7730.8 / Max: 7755.7 Min: 7692.6 / Avg: 7723.83 / Max: 7758 Min: 6879.1 / Avg: 7654.31 / Max: 7742 Min: 7570.9 / Avg: 7612.67 / Max: 7683 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -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 7542 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 80 160 240 320 400 SE +/- 1.64, N = 3 SE +/- 0.35, N = 3 SE +/- 0.92, N = 3 SE +/- 0.78, N = 3 SE +/- 3.39, N = 3 SE +/- 1.60, N = 3 SE +/- 0.97, N = 3 SE +/- 1.71, N = 3 SE +/- 3.26, N = 3 SE +/- 0.65, N = 3 SE +/- 1.86, N = 3 SE +/- 0.18, N = 3 SE +/- 0.74, N = 3 SE +/- 0.84, N = 3 SE +/- 1.32, N = 3 SE +/- 0.60, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.44, N = 3 374.54 369.46 364.75 361.45 360.79 357.09 354.06 348.52 348.02 334.14 332.00 302.67 252.60 247.19 246.52 195.57 120.31 115.55 112.47 103.49 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7262 70 140 210 280 350 Min: 372.9 / Avg: 374.54 / Max: 377.83 Min: 369 / Avg: 369.46 / Max: 370.14 Min: 362.98 / Avg: 364.75 / Max: 366.08 Min: 359.93 / Avg: 361.45 / Max: 362.54 Min: 354.19 / Avg: 360.79 / Max: 365.41 Min: 354.4 / Avg: 357.09 / Max: 359.93 Min: 352.32 / Avg: 354.06 / Max: 355.66 Min: 345.82 / Avg: 348.52 / Max: 351.7 Min: 343.64 / Avg: 348.02 / Max: 354.4 Min: 332.96 / Avg: 334.14 / Max: 335.2 Min: 329.31 / Avg: 332 / Max: 335.57 Min: 302.42 / Avg: 302.67 / Max: 303.03 Min: 251.15 / Avg: 252.6 / Max: 253.59 Min: 245.6 / Avg: 247.19 / Max: 248.45 Min: 244.2 / Avg: 246.52 / Max: 248.76 Min: 194.68 / Avg: 195.57 / Max: 196.72 Min: 119.98 / Avg: 120.31 / Max: 120.53 Min: 115.19 / Avg: 115.55 / Max: 115.81 Min: 112.13 / Avg: 112.47 / Max: 112.8 Min: 102.62 / Avg: 103.49 / Max: 103.95 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 2 4 6 8 10 SE +/- 0.00706, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.01046, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.00585, N = 3 SE +/- 0.00223, N = 3 SE +/- 0.00981, N = 3 SE +/- 0.00968, N = 3 SE +/- 0.01238, N = 3 SE +/- 0.00420, N = 3 SE +/- 0.04018, N = 3 SE +/- 0.02965, N = 3 SE +/- 0.00475, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.00937, N = 3 SE +/- 0.00826, N = 3 SE +/- 0.03536, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.01674, N = 3 SE +/- 0.01899, N = 3 1.45860 1.55827 1.57190 1.57850 1.89790 2.00515 2.02097 2.07830 2.14353 2.18628 2.45058 2.81942 2.85775 3.41483 3.43344 4.75589 5.76680 6.33812 6.80051 7.00609 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7352 EPYC 7F52 EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7F32 EPYC 7262 EPYC 7232P EPYC 7252 3 6 9 12 15 Min: 1.45 / Avg: 1.46 / Max: 1.47 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.56 / Avg: 1.57 / Max: 1.59 Min: 1.58 / Avg: 1.58 / Max: 1.58 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 2 / Avg: 2.02 / Max: 2.04 Min: 2.06 / Avg: 2.08 / Max: 2.09 Min: 2.13 / Avg: 2.14 / Max: 2.17 Min: 2.18 / Avg: 2.19 / Max: 2.19 Min: 2.37 / Avg: 2.45 / Max: 2.51 Min: 2.76 / Avg: 2.82 / Max: 2.85 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 3.41 / Avg: 3.41 / Max: 3.42 Min: 3.42 / Avg: 3.43 / Max: 3.45 Min: 4.74 / Avg: 4.76 / Max: 4.77 Min: 5.71 / Avg: 5.77 / Max: 5.83 Min: 6.33 / Avg: 6.34 / Max: 6.34 Min: 6.77 / Avg: 6.8 / Max: 6.83 Min: 6.98 / Avg: 7.01 / Max: 7.04 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 7F52 EPYC 7F32 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 2.454 2.456 2.799 2.801 2.828 2.836 2.836 2.839 2.841 2.858 2.874 2.884 2.890 2.893 2.895 2.967 2.971 2.984 3.004 3.026 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 7F52 EPYC 7F32 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 2 4 6 8 10 Min: 2.45 / Avg: 2.45 / Max: 2.47 Min: 2.45 / Avg: 2.46 / Max: 2.46 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.83 / Avg: 2.83 / Max: 2.83 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.86 / Avg: 2.86 / Max: 2.86 Min: 2.87 / Avg: 2.87 / Max: 2.88 Min: 2.88 / Avg: 2.88 / Max: 2.89 Min: 2.88 / Avg: 2.89 / Max: 2.89 Min: 2.89 / Avg: 2.89 / Max: 2.9 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 3 / Avg: 3 / Max: 3.01 Min: 3.01 / Avg: 3.03 / Max: 3.06 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 300K 600K 900K 1200K 1500K SE +/- 1687.74, N = 5 SE +/- 3053.58, N = 5 SE +/- 551.87, N = 5 SE +/- 968.31, N = 5 SE +/- 1036.47, N = 5 SE +/- 903.80, N = 5 SE +/- 823.10, N = 5 SE +/- 936.97, N = 5 SE +/- 736.20, N = 5 SE +/- 893.15, N = 5 SE +/- 567.47, N = 5 SE +/- 567.47, N = 5 SE +/- 913.57, N = 5 SE +/- 910.04, N = 5 SE +/- 712.78, N = 5 SE +/- 673.05, N = 5 SE +/- 1232.94, N = 5 SE +/- 1633.10, N = 5 SE +/- 1769.79, N = 5 SE +/- 1494.44, N = 5 1170383 1163483 1114034 1022993 1019963 1007278 1006909 1005806 1005805 1002876 994185 994185 993111 991681 991322 962227 960888 957219 950613 944092 1. (CC) gcc options: -O3 -march=native Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7642 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7352 200K 400K 600K 800K 1000K Min: 1166902 / Avg: 1170383.2 / Max: 1174366 Min: 1152255 / Avg: 1163483.4 / Max: 1169380 Min: 1112682 / Avg: 1114033.8 / Max: 1114935 Min: 1019959 / Avg: 1022993.4 / Max: 1025657 Min: 1018073 / Avg: 1019962.8 / Max: 1023750 Min: 1005069 / Avg: 1007277.6 / Max: 1010601 Min: 1005069 / Avg: 1006908.8 / Max: 1008750 Min: 1003238 / Avg: 1005806.4 / Max: 1008750 Min: 1005069 / Avg: 1005805.2 / Max: 1008750 Min: 999597 / Avg: 1002876 / Max: 1005069 Min: 992392 / Avg: 994185 / Max: 995981 Min: 992392 / Avg: 994185 / Max: 995981 Min: 990607 / Avg: 993111.2 / Max: 995981 Min: 988829 / Avg: 991680.8 / Max: 994184 Min: 988829 / Avg: 991322.4 / Max: 992392 Min: 961218 / Avg: 962227.2 / Max: 964584 Min: 957874 / Avg: 960888.4 / Max: 964584 Min: 952903 / Avg: 957219.4 / Max: 962898 Min: 946353 / Avg: 950613.2 / Max: 956211 Min: 938293 / Avg: 944091.8 / Max: 946353 1. (CC) gcc options: -O3 -march=native
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: Default EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7F72 0.4325 0.865 1.2975 1.73 2.1625 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 1.528 1.538 1.745 1.748 1.767 1.773 1.776 1.778 1.792 1.799 1.800 1.802 1.802 1.812 1.849 1.854 1.862 1.894 1.901 1.922 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: Default EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7F72 2 4 6 8 10 Min: 1.52 / Avg: 1.53 / Max: 1.53 Min: 1.53 / Avg: 1.54 / Max: 1.55 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 1.74 / Avg: 1.75 / Max: 1.75 Min: 1.76 / Avg: 1.77 / Max: 1.77 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.79 / Avg: 1.8 / Max: 1.81 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.84 / Avg: 1.85 / Max: 1.85 Min: 1.85 / Avg: 1.85 / Max: 1.86 Min: 1.84 / Avg: 1.86 / Max: 1.87 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 1.9 / Avg: 1.9 / Max: 1.91 Min: 1.91 / Avg: 1.92 / Max: 1.93 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7702 EPYC 7352 EPYC 7642 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 0.0383 0.0766 0.1149 0.1532 0.1915 SE +/- 0.001, N = 4 SE +/- 0.001, N = 3 SE +/- 0.002, N = 13 SE +/- 0.001, N = 3 SE +/- 0.001, N = 12 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 5 SE +/- 0.000, N = 3 SE +/- 0.002, N = 15 SE +/- 0.002, N = 12 SE +/- 0.014, N = 15 SE +/- 0.001, N = 3 SE +/- 0.001, N = 14 SE +/- 0.002, N = 4 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.077 0.080 0.080 0.081 0.081 0.082 0.087 0.088 0.090 0.093 0.099 0.101 0.102 0.106 0.114 0.136 0.149 0.159 0.165 0.170 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7702 EPYC 7352 EPYC 7642 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7F32 EPYC 7232P EPYC 7262 EPYC 7252 1 2 3 4 5 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.1 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.09 / Max: 0.11 Min: 0.09 / Avg: 0.1 / Max: 0.11 Min: 0.08 / Avg: 0.1 / Max: 0.24 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.11 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.12 Min: 0.13 / Avg: 0.14 / Max: 0.14 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.17 / Avg: 0.17 / Max: 0.17
IOR IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7302P EPYC 7252 EPYC 7402P EPYC 7232P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7502 EPYC 7262 EPYC 7452 EPYC 7702 EPYC 7352 EPYC 7642 EPYC 7662 300 600 900 1200 1500 SE +/- 0.89, N = 3 SE +/- 4.02, N = 4 SE +/- 4.00, N = 3 SE +/- 7.74, N = 3 SE +/- 3.19, N = 8 SE +/- 6.68, N = 3 SE +/- 5.32, N = 3 SE +/- 2.85, N = 6 SE +/- 13.63, N = 3 SE +/- 10.23, N = 3 SE +/- 1.74, N = 3 SE +/- 2.27, N = 4 SE +/- 5.24, N = 3 SE +/- 3.37, N = 3 SE +/- 2.40, N = 3 SE +/- 4.02, N = 3 SE +/- 1.57, N = 3 SE +/- 10.99, N = 3 SE +/- 4.79, N = 3 SE +/- 4.53, N = 3 1441.84 1430.76 1428.03 1414.50 1404.94 1388.23 1384.18 1383.61 1381.42 1380.05 1376.68 1375.99 1375.56 1374.08 1373.93 1371.83 1368.83 1367.38 1366.25 1364.10 1. (CC) gcc options: -O2 -lm -pthread -lmpi Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7302P EPYC 7252 EPYC 7402P EPYC 7232P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7502 EPYC 7262 EPYC 7452 EPYC 7702 EPYC 7352 EPYC 7642 EPYC 7662 300 600 900 1200 1500 Min: 1440.07 / Avg: 1441.84 / Max: 1442.9 Min: 1420.34 / Avg: 1430.76 / Max: 1438.03 Min: 1421.68 / Avg: 1428.03 / Max: 1435.43 Min: 1399.32 / Avg: 1414.5 / Max: 1424.68 Min: 1389.1 / Avg: 1404.94 / Max: 1417.09 Min: 1377.18 / Avg: 1388.23 / Max: 1400.25 Min: 1377.73 / Avg: 1384.18 / Max: 1394.73 Min: 1374.16 / Avg: 1383.61 / Max: 1393.03 Min: 1362.62 / Avg: 1381.42 / Max: 1407.92 Min: 1360.55 / Avg: 1380.05 / Max: 1395.18 Min: 1374.18 / Avg: 1376.68 / Max: 1380.03 Min: 1371.46 / Avg: 1375.99 / Max: 1382.01 Min: 1365.53 / Avg: 1375.56 / Max: 1383.22 Min: 1367.62 / Avg: 1374.08 / Max: 1378.99 Min: 1369.63 / Avg: 1373.93 / Max: 1377.93 Min: 1366.21 / Avg: 1371.83 / Max: 1379.62 Min: 1365.99 / Avg: 1368.83 / Max: 1371.39 Min: 1350.9 / Avg: 1367.38 / Max: 1388.21 Min: 1359.5 / Avg: 1366.25 / Max: 1375.51 Min: 1358.12 / Avg: 1364.1 / Max: 1372.98 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7642 EPYC 7542 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7262 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7662 400 800 1200 1600 2000 SE +/- 13.68, N = 3 SE +/- 8.17, N = 3 SE +/- 25.56, N = 4 SE +/- 17.96, N = 8 SE +/- 19.55, N = 6 SE +/- 2.60, N = 3 SE +/- 2.61, N = 3 SE +/- 3.89, N = 3 SE +/- 2.75, N = 3 SE +/- 21.70, N = 4 SE +/- 8.59, N = 3 SE +/- 5.14, N = 3 SE +/- 0.83, N = 3 SE +/- 9.23, N = 3 SE +/- 5.43, N = 3 SE +/- 2.72, N = 3 SE +/- 4.26, N = 3 SE +/- 2.04, N = 3 SE +/- 5.28, N = 3 SE +/- 10.46, N = 3 1927.48 1850.53 1849.32 1725.53 1678.20 1659.95 1636.48 1622.60 1606.89 1604.88 1603.94 1598.23 1590.82 1584.29 1575.39 1573.20 1571.84 1542.43 1259.04 1251.89 1. (CC) gcc options: -O2 -lm -pthread -lmpi Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7F32 EPYC 7F52 EPYC 7F72 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7402P EPYC 7352 EPYC 7642 EPYC 7542 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7262 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7662 300 600 900 1200 1500 Min: 1909.11 / Avg: 1927.48 / Max: 1954.23 Min: 1838.59 / Avg: 1850.53 / Max: 1866.16 Min: 1821.66 / Avg: 1849.32 / Max: 1925.92 Min: 1649.54 / Avg: 1725.53 / Max: 1795.82 Min: 1584.67 / Avg: 1678.2 / Max: 1716.09 Min: 1657.12 / Avg: 1659.95 / Max: 1665.15 Min: 1633.32 / Avg: 1636.48 / Max: 1641.66 Min: 1617.44 / Avg: 1622.6 / Max: 1630.22 Min: 1601.58 / Avg: 1606.89 / Max: 1610.78 Min: 1579.94 / Avg: 1604.88 / Max: 1669.75 Min: 1590.02 / Avg: 1603.94 / Max: 1619.63 Min: 1589.01 / Avg: 1598.23 / Max: 1606.76 Min: 1589.42 / Avg: 1590.82 / Max: 1592.28 Min: 1572.77 / Avg: 1584.29 / Max: 1602.55 Min: 1564.62 / Avg: 1575.39 / Max: 1582.05 Min: 1568.76 / Avg: 1573.2 / Max: 1578.14 Min: 1566.18 / Avg: 1571.84 / Max: 1580.18 Min: 1538.62 / Avg: 1542.43 / Max: 1545.61 Min: 1248.55 / Avg: 1259.04 / Max: 1265.36 Min: 1231.03 / Avg: 1251.89 / Max: 1263.75 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Convex Trimesh EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7502P EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7252 0.2947 0.5894 0.8841 1.1788 1.4735 SE +/- 0.000910, N = 3 SE +/- 0.002177, N = 3 SE +/- 0.002331, N = 3 SE +/- 0.000067, N = 3 SE +/- 0.004902, N = 3 SE +/- 0.000499, N = 3 SE +/- 0.000599, N = 3 SE +/- 0.000237, N = 3 SE +/- 0.001369, N = 3 SE +/- 0.000831, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.000236, N = 3 SE +/- 0.003407, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.003502, N = 3 SE +/- 0.003026, N = 3 SE +/- 0.003246, N = 3 SE +/- 0.001278, N = 3 SE +/- 0.000758, N = 3 SE +/- 0.003378, N = 3 1.055572 1.059790 1.115877 1.207137 1.217988 1.226732 1.227227 1.228600 1.231897 1.242573 1.244002 1.244588 1.248408 1.249168 1.251942 1.284880 1.292170 1.304260 1.305372 1.309975 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Convex Trimesh EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7502P EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7252 2 4 6 8 10 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.11 / Avg: 1.12 / Max: 1.12 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.24 / Avg: 1.24 / Max: 1.24 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.25 / Avg: 1.25 / Max: 1.25 Min: 1.25 / Avg: 1.25 / Max: 1.26 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.3 / Avg: 1.3 / Max: 1.31 Min: 1.3 / Avg: 1.31 / Max: 1.31 Min: 1.3 / Avg: 1.31 / Max: 1.32 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Prim Trimesh EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7502P EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7252 0.2477 0.4954 0.7431 0.9908 1.2385 SE +/- 0.000474, N = 3 SE +/- 0.002476, N = 3 SE +/- 0.000997, N = 3 SE +/- 0.000354, N = 3 SE +/- 0.004000, N = 3 SE +/- 0.001174, N = 3 SE +/- 0.000668, N = 3 SE +/- 0.000791, N = 3 SE +/- 0.000715, N = 3 SE +/- 0.000753, N = 3 SE +/- 0.001091, N = 3 SE +/- 0.000932, N = 3 SE +/- 0.001534, N = 3 SE +/- 0.000882, N = 3 SE +/- 0.001981, N = 3 SE +/- 0.001415, N = 3 SE +/- 0.001552, N = 3 SE +/- 0.001672, N = 3 SE +/- 0.001080, N = 3 SE +/- 0.003821, N = 3 0.888915 0.894938 0.942317 1.015980 1.025110 1.033427 1.033955 1.035080 1.036920 1.048453 1.048465 1.049650 1.051038 1.052042 1.056087 1.082283 1.087148 1.098203 1.100758 1.100890 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Prim Trimesh EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7502P EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7252 2 4 6 8 10 Min: 0.89 / Avg: 0.89 / Max: 0.89 Min: 0.89 / Avg: 0.89 / Max: 0.9 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.02 / Avg: 1.03 / Max: 1.03 Min: 1.03 / Avg: 1.03 / Max: 1.04 Min: 1.03 / Avg: 1.03 / Max: 1.03 Min: 1.03 / Avg: 1.04 / Max: 1.04 Min: 1.04 / Avg: 1.04 / Max: 1.04 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.08 / Avg: 1.09 / Max: 1.09 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.09 / Avg: 1.1 / Max: 1.11 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 136 Ragdolls EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 0.725 1.45 2.175 2.9 3.625 SE +/- 0.000813, N = 3 SE +/- 0.002402, N = 3 SE +/- 0.007796, N = 3 SE +/- 0.001339, N = 3 SE +/- 0.005671, N = 3 SE +/- 0.000361, N = 3 SE +/- 0.003620, N = 3 SE +/- 0.002802, N = 3 SE +/- 0.002876, N = 3 SE +/- 0.001660, N = 3 SE +/- 0.003031, N = 3 SE +/- 0.004096, N = 3 SE +/- 0.002139, N = 3 SE +/- 0.000645, N = 3 SE +/- 0.024969, N = 3 SE +/- 0.003332, N = 3 SE +/- 0.002712, N = 3 SE +/- 0.001591, N = 3 SE +/- 0.016878, N = 3 SE +/- 0.016890, N = 3 2.414850 2.440883 2.570908 2.758205 2.787508 2.801377 2.802039 2.802675 2.812404 2.826791 2.842580 2.844541 2.847956 2.853650 2.879442 2.936601 2.962278 2.980562 2.996117 3.222167 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 136 Ragdolls EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.41 / Avg: 2.41 / Max: 2.42 Min: 2.44 / Avg: 2.44 / Max: 2.44 Min: 2.56 / Avg: 2.57 / Max: 2.59 Min: 2.76 / Avg: 2.76 / Max: 2.76 Min: 2.78 / Avg: 2.79 / Max: 2.8 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.79 / Avg: 2.8 / Max: 2.81 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 2.81 / Avg: 2.81 / Max: 2.82 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.98 / Avg: 2.98 / Max: 2.98 Min: 2.97 / Avg: 3 / Max: 3.03 Min: 3.19 / Avg: 3.22 / Max: 3.25 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Convex EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 1.1755 2.351 3.5265 4.702 5.8775 SE +/- 0.000994, N = 3 SE +/- 0.011665, N = 3 SE +/- 0.003840, N = 3 SE +/- 0.000419, N = 3 SE +/- 0.008742, N = 3 SE +/- 0.002829, N = 3 SE +/- 0.000683, N = 3 SE +/- 0.004633, N = 3 SE +/- 0.003424, N = 3 SE +/- 0.008226, N = 3 SE +/- 0.002894, N = 3 SE +/- 0.004061, N = 3 SE +/- 0.000840, N = 3 SE +/- 0.002361, N = 3 SE +/- 0.012064, N = 3 SE +/- 0.003474, N = 3 SE +/- 0.016217, N = 3 SE +/- 0.002824, N = 3 SE +/- 0.010168, N = 3 SE +/- 0.007223, N = 3 4.154332 4.175056 4.394798 4.751726 4.806707 4.826640 4.831873 4.839403 4.850538 4.852151 4.896866 4.900239 4.906207 4.912686 4.928625 5.056768 5.121093 5.143761 5.145545 5.224225 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Convex EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 4.15 / Avg: 4.15 / Max: 4.16 Min: 4.16 / Avg: 4.18 / Max: 4.2 Min: 4.39 / Avg: 4.39 / Max: 4.4 Min: 4.75 / Avg: 4.75 / Max: 4.75 Min: 4.79 / Avg: 4.81 / Max: 4.82 Min: 4.82 / Avg: 4.83 / Max: 4.83 Min: 4.83 / Avg: 4.83 / Max: 4.83 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.84 / Avg: 4.85 / Max: 4.86 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 4.89 / Avg: 4.9 / Max: 4.9 Min: 4.9 / Avg: 4.9 / Max: 4.91 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.91 / Avg: 4.91 / Max: 4.92 Min: 4.91 / Avg: 4.93 / Max: 4.95 Min: 5.05 / Avg: 5.06 / Max: 5.06 Min: 5.1 / Avg: 5.12 / Max: 5.15 Min: 5.14 / Avg: 5.14 / Max: 5.15 Min: 5.13 / Avg: 5.15 / Max: 5.16 Min: 5.21 / Avg: 5.22 / Max: 5.23 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Stack EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.004480, N = 3 SE +/- 0.013545, N = 3 SE +/- 0.009253, N = 3 SE +/- 0.004603, N = 3 SE +/- 0.020038, N = 3 SE +/- 0.002525, N = 3 SE +/- 0.009361, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.011697, N = 3 SE +/- 0.019618, N = 3 SE +/- 0.000987, N = 3 SE +/- 0.004193, N = 3 SE +/- 0.005066, N = 3 SE +/- 0.002452, N = 3 SE +/- 0.021564, N = 3 SE +/- 0.014814, N = 3 SE +/- 0.005105, N = 3 SE +/- 0.004122, N = 3 SE +/- 0.038424, N = 3 SE +/- 0.008403, N = 3 4.590949 4.638079 4.956801 5.222480 5.265369 5.303184 5.308740 5.312421 5.318605 5.349437 5.382421 5.390151 5.406158 5.407218 5.411095 5.588216 5.655470 5.673728 5.723526 6.090507 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Stack EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 4.61 / Avg: 4.64 / Max: 4.66 Min: 4.94 / Avg: 4.96 / Max: 4.97 Min: 5.22 / Avg: 5.22 / Max: 5.23 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.3 / Avg: 5.3 / Max: 5.31 Min: 5.3 / Avg: 5.31 / Max: 5.33 Min: 5.31 / Avg: 5.31 / Max: 5.31 Min: 5.3 / Avg: 5.32 / Max: 5.34 Min: 5.33 / Avg: 5.35 / Max: 5.39 Min: 5.38 / Avg: 5.38 / Max: 5.38 Min: 5.38 / Avg: 5.39 / Max: 5.39 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 5.4 / Avg: 5.41 / Max: 5.41 Min: 5.39 / Avg: 5.41 / Max: 5.45 Min: 5.56 / Avg: 5.59 / Max: 5.62 Min: 5.65 / Avg: 5.66 / Max: 5.66 Min: 5.67 / Avg: 5.67 / Max: 5.68 Min: 5.66 / Avg: 5.72 / Max: 5.79 Min: 6.08 / Avg: 6.09 / Max: 6.11 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 3000 Fall EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 1.2047 2.4094 3.6141 4.8188 6.0235 SE +/- 0.005492, N = 3 SE +/- 0.009248, N = 3 SE +/- 0.010372, N = 3 SE +/- 0.002205, N = 3 SE +/- 0.011124, N = 3 SE +/- 0.009984, N = 3 SE +/- 0.003085, N = 3 SE +/- 0.004608, N = 3 SE +/- 0.006874, N = 3 SE +/- 0.011361, N = 3 SE +/- 0.003541, N = 3 SE +/- 0.012710, N = 3 SE +/- 0.007590, N = 3 SE +/- 0.005292, N = 3 SE +/- 0.006914, N = 3 SE +/- 0.005936, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.041024, N = 3 SE +/- 0.029170, N = 3 SE +/- 0.035846, N = 3 3.836466 3.867440 4.248951 4.362872 4.406652 4.412687 4.416565 4.449033 4.450068 4.452469 4.481216 4.490296 4.495252 4.510940 4.516180 4.670712 4.734690 4.777518 4.784334 5.354166 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 3000 Fall EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7282 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 3.83 / Avg: 3.84 / Max: 3.85 Min: 3.85 / Avg: 3.87 / Max: 3.88 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 4.36 / Avg: 4.36 / Max: 4.37 Min: 4.39 / Avg: 4.41 / Max: 4.43 Min: 4.4 / Avg: 4.41 / Max: 4.43 Min: 4.41 / Avg: 4.42 / Max: 4.42 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.47 / Avg: 4.49 / Max: 4.51 Min: 4.48 / Avg: 4.5 / Max: 4.51 Min: 4.51 / Avg: 4.51 / Max: 4.52 Min: 4.51 / Avg: 4.52 / Max: 4.53 Min: 4.66 / Avg: 4.67 / Max: 4.68 Min: 4.73 / Avg: 4.73 / Max: 4.74 Min: 4.7 / Avg: 4.78 / Max: 4.82 Min: 4.74 / Avg: 4.78 / Max: 4.84 Min: 5.29 / Avg: 5.35 / Max: 5.42 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7352 300 600 900 1200 1500 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.29, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 3 SE +/- 0.59, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.37, N = 3 SE +/- 0.05, N = 3 1164.22 1159.53 1103.94 1015.11 1014.89 1000.18 1000.06 999.56 999.52 996.68 985.70 985.33 985.06 984.81 982.88 954.77 954.57 951.01 950.84 939.99 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7352 200 400 600 800 1000 Min: 1163.84 / Avg: 1164.22 / Max: 1164.7 Min: 1159.36 / Avg: 1159.53 / Max: 1159.67 Min: 1103.64 / Avg: 1103.94 / Max: 1104.19 Min: 1014.63 / Avg: 1015.11 / Max: 1015.51 Min: 1014.84 / Avg: 1014.89 / Max: 1014.94 Min: 999.84 / Avg: 1000.18 / Max: 1000.6 Min: 999.79 / Avg: 1000.06 / Max: 1000.31 Min: 999.32 / Avg: 999.56 / Max: 999.82 Min: 999.42 / Avg: 999.52 / Max: 999.62 Min: 996.53 / Avg: 996.68 / Max: 996.97 Min: 985.56 / Avg: 985.7 / Max: 985.81 Min: 984.87 / Avg: 985.33 / Max: 985.87 Min: 984.94 / Avg: 985.06 / Max: 985.16 Min: 984.35 / Avg: 984.81 / Max: 985.07 Min: 982.03 / Avg: 982.88 / Max: 984.01 Min: 954.47 / Avg: 954.77 / Max: 955.16 Min: 954.32 / Avg: 954.57 / Max: 954.81 Min: 950.79 / Avg: 951.01 / Max: 951.45 Min: 950.42 / Avg: 950.84 / Max: 951.59 Min: 939.93 / Avg: 939.99 / Max: 940.08 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7262 EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7662 EPYC 7302P EPYC 7542 EPYC 7642 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 200 400 600 800 1000 SE +/- 16.69, N = 3 SE +/- 11.47, N = 3 SE +/- 17.92, N = 3 SE +/- 4.67, N = 3 SE +/- 8.36, N = 3 SE +/- 10.86, N = 3 SE +/- 10.78, N = 3 SE +/- 7.47, N = 3 SE +/- 6.60, N = 3 SE +/- 4.03, N = 3 SE +/- 5.69, N = 3 SE +/- 11.51, N = 3 SE +/- 8.39, N = 3 SE +/- 5.88, N = 3 SE +/- 8.50, N = 3 SE +/- 15.59, N = 3 SE +/- 5.02, N = 3 SE +/- 11.22, N = 3 SE +/- 21.34, N = 3 SE +/- 38.98, N = 3 887.80 851.93 847.88 774.32 770.26 769.74 768.64 767.66 766.54 766.08 762.29 757.12 752.97 748.18 726.84 725.40 719.49 716.82 713.64 652.80 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7262 EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7662 EPYC 7302P EPYC 7542 EPYC 7642 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 160 320 480 640 800 Min: 861.26 / Avg: 887.8 / Max: 918.59 Min: 833.91 / Avg: 851.93 / Max: 873.23 Min: 813.32 / Avg: 847.88 / Max: 873.38 Min: 766.02 / Avg: 774.32 / Max: 782.19 Min: 757.87 / Avg: 770.26 / Max: 786.18 Min: 750.01 / Avg: 769.74 / Max: 787.46 Min: 747.43 / Avg: 768.64 / Max: 782.6 Min: 753.77 / Avg: 767.66 / Max: 779.38 Min: 753.8 / Avg: 766.54 / Max: 775.89 Min: 758.09 / Avg: 766.08 / Max: 770.97 Min: 751.02 / Avg: 762.29 / Max: 769.3 Min: 743.57 / Avg: 757.12 / Max: 780.02 Min: 742.18 / Avg: 752.97 / Max: 769.49 Min: 741.69 / Avg: 748.18 / Max: 759.91 Min: 713.59 / Avg: 726.84 / Max: 742.7 Min: 698.44 / Avg: 725.4 / Max: 752.43 Min: 710.35 / Avg: 719.49 / Max: 727.66 Min: 700.45 / Avg: 716.82 / Max: 738.29 Min: 678.71 / Avg: 713.64 / Max: 752.34 Min: 612.21 / Avg: 652.8 / Max: 730.74 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7352 150 300 450 600 750 SE +/- 0.07, N = 3 SE +/- 0.94, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.93, N = 3 SE +/- 0.28, N = 3 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 SE +/- 0.76, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.47, N = 3 SE +/- 0.32, N = 3 SE +/- 0.44, N = 3 SE +/- 0.78, N = 3 SE +/- 1.26, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 3.52, N = 3 SE +/- 0.15, N = 3 711.31 708.70 676.60 622.28 621.71 613.29 613.09 612.93 612.90 610.69 603.65 603.18 602.90 602.54 585.04 584.53 582.51 580.57 576.87 576.35 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7352 130 260 390 520 650 Min: 711.2 / Avg: 711.31 / Max: 711.44 Min: 706.98 / Avg: 708.7 / Max: 710.23 Min: 676.4 / Avg: 676.6 / Max: 676.79 Min: 622.1 / Avg: 622.28 / Max: 622.38 Min: 619.97 / Avg: 621.71 / Max: 623.15 Min: 612.75 / Avg: 613.29 / Max: 613.69 Min: 612.5 / Avg: 613.09 / Max: 613.41 Min: 612.59 / Avg: 612.93 / Max: 613.4 Min: 611.4 / Avg: 612.9 / Max: 613.87 Min: 610.52 / Avg: 610.69 / Max: 610.88 Min: 603.44 / Avg: 603.65 / Max: 603.83 Min: 602.29 / Avg: 603.18 / Max: 603.86 Min: 602.3 / Avg: 602.9 / Max: 603.4 Min: 601.67 / Avg: 602.54 / Max: 603.13 Min: 583.83 / Avg: 585.04 / Max: 586.49 Min: 582.04 / Avg: 584.53 / Max: 586.08 Min: 582.29 / Avg: 582.51 / Max: 582.76 Min: 580.44 / Avg: 580.57 / Max: 580.73 Min: 573.33 / Avg: 576.87 / Max: 583.91 Min: 576.11 / Avg: 576.35 / Max: 576.62 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7262 EPYC 7702 EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7402P EPYC 7552 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7532 60 120 180 240 300 SE +/- 0.51, N = 3 SE +/- 0.92, N = 3 SE +/- 1.11, N = 3 SE +/- 0.63, N = 3 SE +/- 0.26, N = 3 SE +/- 0.38, N = 3 SE +/- 0.95, N = 3 SE +/- 0.62, N = 3 SE +/- 0.45, N = 3 SE +/- 0.30, N = 3 SE +/- 1.03, N = 3 SE +/- 2.07, N = 3 SE +/- 1.02, N = 3 SE +/- 0.62, N = 3 SE +/- 0.93, N = 3 SE +/- 1.26, N = 3 SE +/- 2.12, N = 3 SE +/- 3.20, N = 3 SE +/- 0.29, N = 3 SE +/- 0.34, N = 3 289.84 287.93 281.48 273.56 271.93 269.74 267.59 267.49 266.92 265.82 263.94 263.36 263.27 258.33 256.78 255.55 245.55 225.57 197.39 125.68 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7262 EPYC 7702 EPYC 7542 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7402P EPYC 7552 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7532 50 100 150 200 250 Min: 289.05 / Avg: 289.84 / Max: 290.78 Min: 287 / Avg: 287.93 / Max: 289.76 Min: 280 / Avg: 281.48 / Max: 283.66 Min: 272.31 / Avg: 273.56 / Max: 274.3 Min: 271.61 / Avg: 271.93 / Max: 272.45 Min: 268.99 / Avg: 269.74 / Max: 270.17 Min: 265.75 / Avg: 267.59 / Max: 268.88 Min: 266.28 / Avg: 267.49 / Max: 268.29 Min: 266.17 / Avg: 266.92 / Max: 267.72 Min: 265.45 / Avg: 265.82 / Max: 266.42 Min: 261.91 / Avg: 263.94 / Max: 265.28 Min: 259.32 / Avg: 263.36 / Max: 266.17 Min: 261.23 / Avg: 263.27 / Max: 264.46 Min: 257.32 / Avg: 258.33 / Max: 259.45 Min: 255.43 / Avg: 256.78 / Max: 258.56 Min: 254.12 / Avg: 255.55 / Max: 258.06 Min: 243.33 / Avg: 245.55 / Max: 249.8 Min: 220.35 / Avg: 225.57 / Max: 231.38 Min: 196.97 / Avg: 197.39 / Max: 197.94 Min: 125.2 / Avg: 125.68 / Max: 126.33 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7352 30 60 90 120 150 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.45, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 1.35, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.38, N = 3 SE +/- 0.27, N = 3 SE +/- 0.29, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 140.00 139.28 132.58 122.15 121.97 120.41 120.37 120.37 119.74 119.05 118.68 118.58 118.56 118.56 118.48 114.61 114.54 114.51 114.21 113.09 1. (CC) gcc options: -lm Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7352 30 60 90 120 150 Min: 139.68 / Avg: 140 / Max: 140.23 Min: 139.18 / Avg: 139.28 / Max: 139.41 Min: 131.67 / Avg: 132.58 / Max: 133.04 Min: 121.94 / Avg: 122.15 / Max: 122.26 Min: 121.74 / Avg: 121.97 / Max: 122.15 Min: 120.36 / Avg: 120.41 / Max: 120.48 Min: 120.22 / Avg: 120.37 / Max: 120.47 Min: 120.25 / Avg: 120.37 / Max: 120.43 Min: 119.29 / Avg: 119.74 / Max: 119.98 Min: 116.35 / Avg: 119.05 / Max: 120.42 Min: 118.58 / Avg: 118.68 / Max: 118.75 Min: 118.52 / Avg: 118.58 / Max: 118.62 Min: 118.51 / Avg: 118.56 / Max: 118.65 Min: 118.38 / Avg: 118.56 / Max: 118.67 Min: 118.28 / Avg: 118.48 / Max: 118.61 Min: 113.86 / Avg: 114.61 / Max: 115.03 Min: 114.16 / Avg: 114.54 / Max: 115.07 Min: 113.96 / Avg: 114.51 / Max: 114.92 Min: 114.18 / Avg: 114.21 / Max: 114.23 Min: 112.87 / Avg: 113.09 / Max: 113.22 1. (CC) gcc options: -lm
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Jacobi Successive Over-Relaxation EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7352 400 800 1200 1600 2000 SE +/- 0.26, N = 3 SE +/- 5.43, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 6.85, N = 3 SE +/- 0.36, N = 3 SE +/- 4.45, N = 3 SE +/- 0.11, N = 3 SE +/- 6.10, N = 3 SE +/- 6.19, N = 3 SE +/- 0.41, N = 3 SE +/- 0.24, N = 3 SE +/- 0.32, N = 3 SE +/- 6.62, N = 3 SE +/- 1.70, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 SE +/- 4.29, N = 3 SE +/- 4.99, N = 3 SE +/- 0.36, N = 3 1891.08 1882.96 1793.82 1649.03 1642.14 1624.46 1620.27 1618.82 1618.31 1617.94 1600.43 1600.37 1599.97 1593.45 1585.16 1551.93 1549.85 1545.62 1543.18 1526.07 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Jacobi Successive Over-Relaxation EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7352 300 600 900 1200 1500 Min: 1890.57 / Avg: 1891.08 / Max: 1891.43 Min: 1872.09 / Avg: 1882.96 / Max: 1888.44 Min: 1793.71 / Avg: 1793.82 / Max: 1793.98 Min: 1648.87 / Avg: 1649.03 / Max: 1649.33 Min: 1628.44 / Avg: 1642.14 / Max: 1649.35 Min: 1624.07 / Avg: 1624.46 / Max: 1625.17 Min: 1611.36 / Avg: 1620.27 / Max: 1624.8 Min: 1618.68 / Avg: 1618.82 / Max: 1619.05 Min: 1606.12 / Avg: 1618.31 / Max: 1624.72 Min: 1605.58 / Avg: 1617.94 / Max: 1624.6 Min: 1599.65 / Avg: 1600.43 / Max: 1601.06 Min: 1599.9 / Avg: 1600.37 / Max: 1600.64 Min: 1599.53 / Avg: 1599.97 / Max: 1600.6 Min: 1580.23 / Avg: 1593.45 / Max: 1600.52 Min: 1581.93 / Avg: 1585.16 / Max: 1587.68 Min: 1551.82 / Avg: 1551.93 / Max: 1551.98 Min: 1549.49 / Avg: 1549.85 / Max: 1550.38 Min: 1537.08 / Avg: 1545.62 / Max: 1550.66 Min: 1533.19 / Avg: 1543.18 / Max: 1548.29 Min: 1525.45 / Avg: 1526.07 / Max: 1526.7 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Dense LU Matrix Factorization EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7252 EPYC 7542 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7532 800 1600 2400 3200 4000 SE +/- 12.02, N = 3 SE +/- 1.49, N = 3 SE +/- 6.93, N = 3 SE +/- 0.07, N = 3 SE +/- 1.18, N = 3 SE +/- 2.71, N = 3 SE +/- 6.61, N = 3 SE +/- 2.08, N = 3 SE +/- 7.15, N = 3 SE +/- 548.83, N = 3 SE +/- 129.50, N = 3 SE +/- 495.38, N = 3 SE +/- 440.15, N = 3 SE +/- 493.42, N = 3 SE +/- 441.67, N = 3 SE +/- 422.20, N = 3 SE +/- 242.72, N = 3 SE +/- 318.01, N = 3 SE +/- 200.91, N = 3 SE +/- 19.67, N = 3 3607.20 3436.63 3132.86 3112.17 3094.40 3069.17 3057.21 3049.43 2902.87 2832.36 2658.82 2652.66 2616.75 2612.89 2521.24 2514.98 2320.51 2249.65 2211.14 1701.71 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Dense LU Matrix Factorization EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7352 EPYC 7F32 EPYC 7252 EPYC 7542 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7532 600 1200 1800 2400 3000 Min: 3584.25 / Avg: 3607.2 / Max: 3624.86 Min: 3434.39 / Avg: 3436.63 / Max: 3439.46 Min: 3119.77 / Avg: 3132.86 / Max: 3143.35 Min: 3112.04 / Avg: 3112.17 / Max: 3112.26 Min: 3092.13 / Avg: 3094.4 / Max: 3096.1 Min: 3065.99 / Avg: 3069.17 / Max: 3074.55 Min: 3049.05 / Avg: 3057.21 / Max: 3070.3 Min: 3045.64 / Avg: 3049.43 / Max: 3052.79 Min: 2892.68 / Avg: 2902.87 / Max: 2916.64 Min: 1753.8 / Avg: 2832.36 / Max: 3548.23 Min: 2445.92 / Avg: 2658.82 / Max: 2893.01 Min: 1661.91 / Avg: 2652.66 / Max: 3150.08 Min: 1736.48 / Avg: 2616.75 / Max: 3063.37 Min: 1626.06 / Avg: 2612.89 / Max: 3108.82 Min: 1656.97 / Avg: 2521.24 / Max: 3111.49 Min: 1700.09 / Avg: 2514.98 / Max: 3114.09 Min: 2016.82 / Avg: 2320.51 / Max: 2800.33 Min: 1645.77 / Avg: 2249.65 / Max: 2724.44 Min: 1922.03 / Avg: 2211.14 / Max: 2597.38 Min: 1681.92 / Avg: 1701.71 / Max: 1741.04 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Sparse Matrix Multiply EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7352 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7272 EPYC 7232P EPYC 7532 300 600 900 1200 1500 SE +/- 1.04, N = 3 SE +/- 3.54, N = 3 SE +/- 82.02, N = 3 SE +/- 3.55, N = 3 SE +/- 3.28, N = 3 SE +/- 1.62, N = 3 SE +/- 1.27, N = 3 SE +/- 0.49, N = 3 SE +/- 4.96, N = 3 SE +/- 2.18, N = 3 SE +/- 4.60, N = 3 SE +/- 20.11, N = 3 SE +/- 81.65, N = 3 SE +/- 82.14, N = 3 SE +/- 68.19, N = 3 SE +/- 75.65, N = 3 SE +/- 81.52, N = 3 SE +/- 64.65, N = 3 SE +/- 71.13, N = 3 SE +/- 47.01, N = 3 1175.98 1114.68 1079.45 1029.57 1021.83 1018.42 1008.78 1002.31 1000.90 964.85 960.86 955.20 952.81 947.33 942.29 936.27 929.80 901.96 894.15 848.08 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Sparse Matrix Multiply EPYC 7F52 EPYC 7F72 EPYC 7F32 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7352 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7272 EPYC 7232P EPYC 7532 200 400 600 800 1000 Min: 1174.88 / Avg: 1175.98 / Max: 1178.07 Min: 1110.44 / Avg: 1114.68 / Max: 1121.72 Min: 915.99 / Avg: 1079.45 / Max: 1173.22 Min: 1025.21 / Avg: 1029.57 / Max: 1036.6 Min: 1015.81 / Avg: 1021.83 / Max: 1027.1 Min: 1015.67 / Avg: 1018.42 / Max: 1021.29 Min: 1006.3 / Avg: 1008.78 / Max: 1010.53 Min: 1001.8 / Avg: 1002.31 / Max: 1003.3 Min: 993.83 / Avg: 1000.9 / Max: 1010.46 Min: 961.16 / Avg: 964.85 / Max: 968.71 Min: 954.7 / Avg: 960.86 / Max: 969.85 Min: 915.2 / Avg: 955.2 / Max: 978.93 Min: 789.57 / Avg: 952.81 / Max: 1038.11 Min: 783.13 / Avg: 947.33 / Max: 1033.92 Min: 806.83 / Avg: 942.29 / Max: 1023.79 Min: 785.84 / Avg: 936.27 / Max: 1025.47 Min: 766.8 / Avg: 929.8 / Max: 1014.44 Min: 772.85 / Avg: 901.96 / Max: 972.66 Min: 752.08 / Avg: 894.15 / Max: 971.61 Min: 785.58 / Avg: 848.08 / Max: 940.15 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Fast Fourier Transform EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7252 EPYC 7F32 EPYC 7552 EPYC 7272 EPYC 7502 EPYC 7542 EPYC 7232P EPYC 7402P EPYC 7452 EPYC 7532 50 100 150 200 250 SE +/- 0.41, N = 3 SE +/- 0.67, N = 3 SE +/- 0.43, N = 3 SE +/- 1.61, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 2.94, N = 3 SE +/- 4.10, N = 3 SE +/- 45.94, N = 3 SE +/- 59.48, N = 3 SE +/- 51.82, N = 3 SE +/- 46.05, N = 3 SE +/- 50.46, N = 3 SE +/- 47.26, N = 3 SE +/- 45.74, N = 3 SE +/- 48.53, N = 3 SE +/- 48.56, N = 3 SE +/- 0.55, N = 3 246.84 238.95 222.53 220.75 219.29 218.05 217.61 217.13 215.39 208.87 177.20 165.44 155.45 153.02 152.26 142.76 138.46 136.32 136.16 59.16 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Fast Fourier Transform EPYC 7F52 EPYC 7F72 EPYC 7262 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7252 EPYC 7F32 EPYC 7552 EPYC 7272 EPYC 7502 EPYC 7542 EPYC 7232P EPYC 7402P EPYC 7452 EPYC 7532 40 80 120 160 200 Min: 246.02 / Avg: 246.84 / Max: 247.31 Min: 237.63 / Avg: 238.95 / Max: 239.78 Min: 221.98 / Avg: 222.53 / Max: 223.37 Min: 217.94 / Avg: 220.75 / Max: 223.53 Min: 218.94 / Avg: 219.29 / Max: 219.97 Min: 217.48 / Avg: 218.05 / Max: 218.65 Min: 217.32 / Avg: 217.61 / Max: 217.93 Min: 216.85 / Avg: 217.13 / Max: 217.53 Min: 210.51 / Avg: 215.39 / Max: 220.66 Min: 201.85 / Avg: 208.87 / Max: 216.06 Min: 85.34 / Avg: 177.2 / Max: 224.62 Min: 59.02 / Avg: 165.44 / Max: 264.68 Min: 52.37 / Avg: 155.45 / Max: 216.32 Min: 62.31 / Avg: 153.02 / Max: 212.16 Min: 53.81 / Avg: 152.26 / Max: 220.66 Min: 54.01 / Avg: 142.76 / Max: 215.31 Min: 50.36 / Avg: 138.46 / Max: 203.87 Min: 52.37 / Avg: 136.32 / Max: 220.49 Min: 52.74 / Avg: 136.16 / Max: 220.93 Min: 58.56 / Avg: 59.16 / Max: 60.27 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Monte Carlo EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 100 200 300 400 500 SE +/- 0.62, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.69, N = 3 SE +/- 0.09, N = 3 SE +/- 1.04, N = 3 SE +/- 1.02, N = 3 SE +/- 0.56, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 1.09, N = 3 SE +/- 0.77, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.89, N = 3 SE +/- 0.06, N = 3 SE +/- 0.68, N = 3 SE +/- 0.49, N = 3 SE +/- 0.10, N = 3 472.22 471.25 448.29 412.61 412.22 407.18 407.11 406.62 405.99 404.44 401.44 400.85 400.21 400.05 399.98 388.80 387.79 386.81 386.77 381.50 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Monte Carlo EPYC 7F52 EPYC 7F32 EPYC 7F72 EPYC 7542 EPYC 7262 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7352 80 160 240 320 400 Min: 471 / Avg: 472.22 / Max: 472.99 Min: 470.9 / Avg: 471.25 / Max: 471.48 Min: 447.96 / Avg: 448.29 / Max: 448.52 Min: 411.86 / Avg: 412.61 / Max: 413.98 Min: 412.13 / Avg: 412.22 / Max: 412.39 Min: 406.1 / Avg: 407.18 / Max: 409.25 Min: 406.04 / Avg: 407.11 / Max: 409.16 Min: 405.99 / Avg: 406.62 / Max: 407.74 Min: 405.84 / Avg: 405.99 / Max: 406.14 Min: 404.16 / Avg: 404.44 / Max: 404.59 Min: 401.15 / Avg: 401.44 / Max: 401.7 Min: 399.66 / Avg: 400.85 / Max: 403.02 Min: 399.12 / Avg: 400.21 / Max: 401.69 Min: 400 / Avg: 400.05 / Max: 400.1 Min: 399.65 / Avg: 399.98 / Max: 400.19 Min: 387.76 / Avg: 388.8 / Max: 390.57 Min: 387.7 / Avg: 387.79 / Max: 387.9 Min: 386.05 / Avg: 386.81 / Max: 388.17 Min: 386.19 / Avg: 386.77 / Max: 387.75 Min: 381.38 / Avg: 381.5 / Max: 381.69 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
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: Add EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 20K 40K 60K 80K 100K SE +/- 27.65, N = 5 SE +/- 18.47, N = 5 SE +/- 26.54, N = 5 SE +/- 27.85, N = 5 SE +/- 145.28, N = 5 SE +/- 31.32, N = 5 SE +/- 14.97, N = 5 SE +/- 18.90, N = 5 SE +/- 17.48, N = 5 SE +/- 12.35, N = 5 SE +/- 18.59, N = 5 SE +/- 9.61, N = 5 SE +/- 16.43, N = 5 SE +/- 15.47, N = 5 SE +/- 29.22, N = 5 SE +/- 95.95, N = 5 SE +/- 4.03, N = 5 SE +/- 44.14, N = 5 SE +/- 17.33, N = 5 SE +/- 8.29, N = 5 99400.2 98566.4 98124.1 97473.2 96867.4 96255.6 95753.8 89746.0 89222.7 88008.9 87137.3 87013.3 87010.8 86951.1 86940.2 86384.2 56973.5 56552.7 55696.1 55485.1 1. (CC) gcc options: -O3 -march=native -fopenmp Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 20K 40K 60K 80K 100K Min: 99329.3 / Avg: 99400.16 / Max: 99494.2 Min: 98509.9 / Avg: 98566.42 / Max: 98618.9 Min: 98047.4 / Avg: 98124.06 / Max: 98175.5 Min: 97374.9 / Avg: 97473.24 / Max: 97525.9 Min: 96350.6 / Avg: 96867.36 / Max: 97091.3 Min: 96153.7 / Avg: 96255.6 / Max: 96319.3 Min: 95708.5 / Avg: 95753.82 / Max: 95792.3 Min: 89676.2 / Avg: 89746.04 / Max: 89780.1 Min: 89186 / Avg: 89222.66 / Max: 89285.6 Min: 87976.2 / Avg: 88008.86 / Max: 88050.9 Min: 87066.9 / Avg: 87137.32 / Max: 87168.7 Min: 86981.9 / Avg: 87013.34 / Max: 87042.1 Min: 86947.4 / Avg: 87010.8 / Max: 87038.3 Min: 86894.1 / Avg: 86951.12 / Max: 86978.2 Min: 86849.1 / Avg: 86940.18 / Max: 87029.3 Min: 86095.1 / Avg: 86384.16 / Max: 86677.1 Min: 56958.2 / Avg: 56973.52 / Max: 56980.1 Min: 56402.9 / Avg: 56552.7 / Max: 56673.4 Min: 55667.7 / Avg: 55696.1 / Max: 55762 Min: 55463.1 / Avg: 55485.12 / Max: 55514.5 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 20K 40K 60K 80K 100K SE +/- 26.38, N = 5 SE +/- 12.33, N = 5 SE +/- 25.19, N = 5 SE +/- 44.59, N = 5 SE +/- 25.27, N = 5 SE +/- 56.50, N = 5 SE +/- 17.47, N = 5 SE +/- 18.22, N = 5 SE +/- 30.39, N = 5 SE +/- 12.51, N = 5 SE +/- 17.41, N = 5 SE +/- 25.28, N = 5 SE +/- 14.74, N = 5 SE +/- 4.01, N = 5 SE +/- 30.03, N = 5 SE +/- 72.45, N = 5 SE +/- 6.04, N = 5 SE +/- 31.07, N = 5 SE +/- 12.57, N = 5 SE +/- 6.90, N = 5 100472.4 99680.8 99219.5 98556.1 98142.0 96936.0 96608.3 90094.8 89542.3 88384.1 87431.1 87319.2 87290.0 87289.2 87264.6 86874.0 56930.3 56700.0 55803.3 55554.4 1. (CC) gcc options: -O3 -march=native -fopenmp Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 20K 40K 60K 80K 100K Min: 100414.3 / Avg: 100472.42 / Max: 100561.7 Min: 99646.9 / Avg: 99680.84 / Max: 99709.1 Min: 99181.5 / Avg: 99219.46 / Max: 99317.5 Min: 98388.6 / Avg: 98556.06 / Max: 98643.1 Min: 98063.6 / Avg: 98142.04 / Max: 98195.6 Min: 96848.4 / Avg: 96936.04 / Max: 97157.8 Min: 96567.9 / Avg: 96608.26 / Max: 96668.9 Min: 90053.2 / Avg: 90094.84 / Max: 90158.1 Min: 89428.4 / Avg: 89542.34 / Max: 89605.9 Min: 88351.5 / Avg: 88384.12 / Max: 88427.6 Min: 87364.6 / Avg: 87431.12 / Max: 87463.3 Min: 87260.1 / Avg: 87319.2 / Max: 87406.4 Min: 87238.2 / Avg: 87289.96 / Max: 87329.8 Min: 87276 / Avg: 87289.18 / Max: 87301 Min: 87180.8 / Avg: 87264.58 / Max: 87339.6 Min: 86636.8 / Avg: 86874.04 / Max: 87045.1 Min: 56912.4 / Avg: 56930.26 / Max: 56947.5 Min: 56629.4 / Avg: 56699.96 / Max: 56804.8 Min: 55754.3 / Avg: 55803.34 / Max: 55821.7 Min: 55541.4 / Avg: 55554.36 / Max: 55572.4 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7552 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 20K 40K 60K 80K 100K SE +/- 97.97, N = 5 SE +/- 19.39, N = 5 SE +/- 51.61, N = 5 SE +/- 50.29, N = 5 SE +/- 88.18, N = 5 SE +/- 8.10, N = 5 SE +/- 33.78, N = 5 SE +/- 26.46, N = 5 SE +/- 60.32, N = 5 SE +/- 33.32, N = 5 SE +/- 20.95, N = 5 SE +/- 35.41, N = 5 SE +/- 18.84, N = 5 SE +/- 22.40, N = 5 SE +/- 34.50, N = 5 SE +/- 107.49, N = 5 SE +/- 17.43, N = 5 SE +/- 45.85, N = 5 SE +/- 26.50, N = 5 SE +/- 12.22, N = 5 91285.9 90222.2 89250.4 88346.1 87987.8 87569.0 87456.3 82753.0 81891.4 80191.9 79498.2 79087.5 79082.1 78989.7 78981.2 78936.4 52916.0 52614.3 51795.4 51214.0 1. (CC) gcc options: -O3 -march=native -fopenmp Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7552 EPYC 7262 EPYC 7F32 EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7452 EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 16K 32K 48K 64K 80K Min: 90897.7 / Avg: 91285.88 / Max: 91424 Min: 90166.2 / Avg: 90222.16 / Max: 90277.7 Min: 89101.9 / Avg: 89250.36 / Max: 89401 Min: 88183.9 / Avg: 88346.14 / Max: 88465.3 Min: 87752.7 / Avg: 87987.76 / Max: 88246.6 Min: 87542.1 / Avg: 87569.02 / Max: 87590 Min: 87379.1 / Avg: 87456.34 / Max: 87579.8 Min: 82700.4 / Avg: 82753.02 / Max: 82849.4 Min: 81779.2 / Avg: 81891.38 / Max: 82097.4 Min: 80111.8 / Avg: 80191.92 / Max: 80273.8 Min: 79424.4 / Avg: 79498.2 / Max: 79534.5 Min: 78996.2 / Avg: 79087.5 / Max: 79204.1 Min: 79043.7 / Avg: 79082.08 / Max: 79153.7 Min: 78922.8 / Avg: 78989.74 / Max: 79043.7 Min: 78875.5 / Avg: 78981.18 / Max: 79054.8 Min: 78534.9 / Avg: 78936.38 / Max: 79176.1 Min: 52874.9 / Avg: 52915.96 / Max: 52971.3 Min: 52481.3 / Avg: 52614.34 / Max: 52732.4 Min: 51724.9 / Avg: 51795.42 / Max: 51860.4 Min: 51177 / Avg: 51214 / Max: 51245.7 1. (CC) gcc options: -O3 -march=native -fopenmp
EPYC 7232P Processor: AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 October 2020 09:00 by user phoronix.
EPYC 7252 Processor: AMD EPYC 7252 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 November 2020 08:52 by user phoronix.
EPYC 7262 Processor: AMD EPYC 7262 8-Core @ 3.20GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 November 2020 18:30 by user phoronix.
EPYC 7272 Processor: AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 7 November 2020 09:08 by user phoronix.
EPYC 7282 Processor: AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 November 2020 17:57 by user phoronix.
EPYC 7302P Processor: AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 October 2020 10:21 by user phoronix.
EPYC 7352 Processor: AMD EPYC 7352 24-Core @ 2.30GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 31 October 2020 18:01 by user phoronix.
EPYC 7402P Processor: AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 23 October 2020 11:54 by user phoronix.
EPYC 7452 Processor: AMD EPYC 7452 32-Core @ 2.35GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 October 2020 17:37 by user phoronix.
EPYC 7502 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 November 2020 15:47 by user phoronix.
EPYC 7502P Processor: AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 October 2020 06:50 by user phoronix.
EPYC 7532 Processor: AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 October 2020 18:09 by user phoronix.
EPYC 7542 Processor: AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 November 2020 18:31 by user phoronix.
EPYC 7552 Processor: AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 26 October 2020 13:43 by user phoronix.
EPYC 7642 Processor: AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 October 2020 09:57 by user phoronix.
EPYC 7662 Processor: AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 19 October 2020 21:29 by user phoronix.
EPYC 7702 Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 21 October 2020 08:51 by user phoronix.
EPYC 7F32 Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 October 2020 15:29 by user phoronix.
EPYC 7F52 Processor: AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 October 2020 18:03 by user phoronix.
EPYC 7F72 Processor: AMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-20-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 October 2020 10:33 by user phoronix.