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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.028, N = 3 SE +/- 0.038, N = 3 SE +/- 0.022, N = 3 SE +/- 0.164, N = 3 SE +/- 0.047, N = 3 SE +/- 0.009, N = 3 SE +/- 0.032, N = 3 SE +/- 0.015, N = 3 SE +/- 0.054, N = 3 SE +/- 0.065, N = 3 SE +/- 0.073, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.055, N = 3 SE +/- 0.046, N = 3 SE +/- 0.053, N = 3 SE +/- 0.052, N = 9 SE +/- 0.016, N = 3 SE +/- 0.053, N = 3 SE +/- 0.057, N = 3 16.035 17.307 25.007 24.188 22.299 14.700 10.431 5.214 22.000 5.531 16.078 12.242 17.343 13.040 17.943 9.441 4.895 5.762 7.459 17.261 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 15.98 / Avg: 16.04 / Max: 16.06 Min: 17.26 / Avg: 17.31 / Max: 17.38 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: 14.68 / Avg: 14.7 / Max: 14.72 Min: 10.37 / Avg: 10.43 / Max: 10.48 Min: 5.18 / Avg: 5.21 / Max: 5.23 Min: 21.93 / Avg: 22 / Max: 22.11 Min: 5.43 / Avg: 5.53 / Max: 5.65 Min: 15.98 / Avg: 16.08 / Max: 16.22 Min: 12.23 / Avg: 12.24 / Max: 12.25 Min: 17.33 / Avg: 17.34 / Max: 17.36 Min: 12.93 / Avg: 13.04 / Max: 13.11 Min: 17.88 / Avg: 17.94 / Max: 18.03 Min: 9.35 / Avg: 9.44 / Max: 9.54 Min: 4.57 / Avg: 4.9 / Max: 5.06 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 7.4 / Avg: 7.46 / Max: 7.56 Min: 17.15 / Avg: 17.26 / Max: 17.33 1. (CXX) g++ options: -O3 -pthread -lm
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.033, N = 3 SE +/- 0.013, N = 3 SE +/- 0.016, N = 3 SE +/- 0.025, N = 3 SE +/- 0.038, N = 3 SE +/- 0.174, N = 3 SE +/- 0.056, N = 3 SE +/- 0.052, N = 3 SE +/- 0.110, N = 4 SE +/- 0.045, N = 3 16.237 9.287 17.276 13.129 18.028 9.123 5.031 4.867 7.481 17.341 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 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 16.19 / Avg: 16.24 / Max: 16.3 Min: 9.26 / Avg: 9.29 / Max: 9.3 Min: 17.25 / Avg: 17.28 / Max: 17.31 Min: 13.09 / Avg: 13.13 / Max: 13.18 Min: 17.96 / Avg: 18.03 / Max: 18.09 Min: 8.78 / Avg: 9.12 / Max: 9.34 Min: 4.96 / Avg: 5.03 / Max: 5.14 Min: 4.77 / Avg: 4.87 / Max: 4.94 Min: 7.16 / Avg: 7.48 / Max: 7.65 Min: 17.26 / Avg: 17.34 / Max: 17.42 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 20.97 56.92 32.97 33.11 34.89 56.73 57.12 62.97 54.09 51.00 56.48 50.45 45.33 60.38 56.03 58.54 58.26 55.58 59.08 56.55
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 SE +/- 4.69, N = 4 SE +/- 5.14, N = 9 SE +/- 4.71, N = 9 SE +/- 5.38, N = 9 SE +/- 2.49, N = 3 SE +/- 4.99, N = 3 SE +/- 3.87, N = 3 SE +/- 2.73, N = 3 SE +/- 3.70, N = 7 SE +/- 2.60, N = 3 SE +/- 5.74, N = 9 SE +/- 2.59, N = 3 SE +/- 6.20, N = 9 SE +/- 5.13, N = 9 SE +/- 4.91, N = 3 SE +/- 6.11, N = 3 SE +/- 5.31, N = 3 SE +/- 6.72, N = 9 SE +/- 5.65, N = 9 SE +/- 3.41, N = 9 330.10 342.25 331.29 337.81 356.75 354.27 379.76 373.08 344.50 344.39 339.80 323.23 357.63 371.18 339.35 368.49 350.98 366.75 358.64 340.22
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 Min: 320.17 / Avg: 330.1 / Max: 341.36 Min: 316.71 / Avg: 342.25 / Max: 361.76 Min: 313.98 / Avg: 331.29 / Max: 351.86 Min: 313.22 / Avg: 337.81 / Max: 361.29 Min: 351.87 / Avg: 356.75 / Max: 360.05 Min: 344.4 / Avg: 354.27 / Max: 360.52 Min: 372.45 / Avg: 379.76 / Max: 385.63 Min: 368.67 / Avg: 373.08 / Max: 378.08 Min: 331.32 / Avg: 344.5 / Max: 361.38 Min: 339.25 / Avg: 344.39 / Max: 347.65 Min: 315.08 / Avg: 339.8 / Max: 372.17 Min: 318.18 / Avg: 323.23 / Max: 326.76 Min: 327.79 / Avg: 357.63 / Max: 390.79 Min: 349.96 / Avg: 371.18 / Max: 391.88 Min: 331.61 / Avg: 339.35 / Max: 348.44 Min: 361.79 / Avg: 368.49 / Max: 380.7 Min: 340.37 / Avg: 350.98 / Max: 356.76 Min: 345.02 / Avg: 366.75 / Max: 408.84 Min: 343.49 / Avg: 358.64 / Max: 401.05 Min: 319.89 / Avg: 340.21 / Max: 351.36
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 SE +/- 0.93, N = 3 SE +/- 0.58, N = 3 SE +/- 0.51, N = 3 SE +/- 1.03, N = 3 SE +/- 0.79, N = 3 SE +/- 0.35, N = 3 SE +/- 0.13, N = 3 SE +/- 0.77, N = 3 SE +/- 0.49, N = 3 SE +/- 2.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.61, N = 3 SE +/- 0.52, N = 3 SE +/- 0.69, N = 3 SE +/- 0.53, N = 3 SE +/- 0.73, N = 3 SE +/- 0.57, N = 3 SE +/- 0.52, N = 3 SE +/- 0.53, N = 3 SE +/- 0.63, N = 3 451 409 354 356 383 415 383 280 378 279 377 387 355 376 432 454 263 236 377 408 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 Min: 449.84 / Avg: 451.06 / Max: 452.9 Min: 408.16 / Avg: 409.17 / Max: 410.17 Min: 353.36 / Avg: 354.15 / Max: 355.11 Min: 354.74 / Avg: 356.47 / Max: 358.29 Min: 381.97 / Avg: 383.1 / Max: 384.62 Min: 414.08 / Avg: 414.65 / Max: 415.28 Min: 382.85 / Avg: 383.09 / Max: 383.29 Min: 278.24 / Avg: 279.59 / Max: 280.9 Min: 376.79 / Avg: 377.64 / Max: 378.5 Min: 275.41 / Avg: 279.23 / Max: 282.33 Min: 377.22 / Avg: 377.45 / Max: 377.79 Min: 386.1 / Avg: 386.85 / Max: 388.05 Min: 354.36 / Avg: 355.33 / Max: 356.13 Min: 375.23 / Avg: 375.99 / Max: 377.36 Min: 431.59 / Avg: 432.22 / Max: 433.28 Min: 453.31 / Avg: 454.13 / Max: 455.58 Min: 261.92 / Avg: 262.58 / Max: 263.71 Min: 235.52 / Avg: 236.32 / Max: 237.3 Min: 375.94 / Avg: 376.84 / Max: 377.79 Min: 407.17 / Avg: 408.22 / Max: 409.33 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 SE +/- 0.32, N = 3 SE +/- 0.74, N = 3 SE +/- 0.42, N = 3 SE +/- 0.45, N = 3 SE +/- 0.35, N = 3 SE +/- 0.55, N = 3 SE +/- 0.25, N = 3 SE +/- 0.57, N = 3 SE +/- 0.24, N = 3 SE +/- 0.69, N = 3 SE +/- 0.42, N = 3 SE +/- 0.34, N = 3 SE +/- 0.45, N = 3 SE +/- 0.46, N = 3 SE +/- 0.87, N = 3 SE +/- 1.01, N = 3 SE +/- 0.65, N = 3 SE +/- 0.34, N = 3 SE +/- 0.82, N = 3 SE +/- 0.55, N = 3 455 411 354 356 385 417 387 292 379 287 379 394 358 379 431 459 273 247 382 410 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 Min: 454.55 / Avg: 454.96 / Max: 455.58 Min: 410.17 / Avg: 411.07 / Max: 412.54 Min: 353.48 / Avg: 354.03 / Max: 354.86 Min: 354.86 / Avg: 355.54 / Max: 356.38 Min: 384.76 / Avg: 385.31 / Max: 385.95 Min: 416.49 / Avg: 417.13 / Max: 418.24 Min: 386.7 / Avg: 386.95 / Max: 387.45 Min: 291.21 / Avg: 291.86 / Max: 293 Min: 378.5 / Avg: 378.98 / Max: 379.22 Min: 285.71 / Avg: 287.08 / Max: 287.77 Min: 378.79 / Avg: 379.46 / Max: 380.23 Min: 392.93 / Avg: 393.6 / Max: 394.01 Min: 357.4 / Avg: 358.21 / Max: 358.94 Min: 377.64 / Avg: 378.55 / Max: 379.08 Min: 430.11 / Avg: 431.47 / Max: 433.09 Min: 456.83 / Avg: 458.79 / Max: 460.19 Min: 271.74 / Avg: 272.76 / Max: 273.97 Min: 246.43 / Avg: 246.79 / Max: 247.46 Min: 380.08 / Avg: 381.63 / Max: 382.85 Min: 409 / Avg: 409.78 / Max: 410.85 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K SE +/- 185.62, N = 8 SE +/- 86.33, N = 3 SE +/- 238.37, N = 3 SE +/- 224.88, N = 3 SE +/- 104.33, N = 3 SE +/- 39.40, N = 3 SE +/- 171.42, N = 6 SE +/- 151.54, N = 3 SE +/- 115.47, N = 3 SE +/- 77.56, N = 3 SE +/- 94.50, N = 3 SE +/- 30.07, N = 3 SE +/- 71.08, N = 3 SE +/- 65.28, N = 3 SE +/- 39.21, N = 3 SE +/- 77.59, N = 3 SE +/- 109.92, N = 3 SE +/- 174.94, N = 3 SE +/- 147.87, N = 3 SE +/- 204.31, N = 3 17858 14985 14945 14749 14496 14979 14751 14210 14955 15791 15060 16017 14709 14443 15187 14608 14138 14633 14445 15020 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K Min: 16971 / Avg: 17858.25 / Max: 18417 Min: 14886 / Avg: 14985 / Max: 15157 Min: 14469 / Avg: 14945 / Max: 15206 Min: 14396 / Avg: 14749.33 / Max: 15167 Min: 14336 / Avg: 14496 / Max: 14692 Min: 14904 / Avg: 14979.33 / Max: 15037 Min: 13908 / Avg: 14751.17 / Max: 15000 Min: 13997 / Avg: 14209.67 / Max: 14503 Min: 14780 / Avg: 14955 / Max: 15173 Min: 15637 / Avg: 15791.33 / Max: 15882 Min: 14874 / Avg: 15060 / Max: 15182 Min: 15963 / Avg: 16016.67 / Max: 16067 Min: 14589 / Avg: 14709 / Max: 14835 Min: 14319 / Avg: 14443.33 / Max: 14540 Min: 15109 / Avg: 15187 / Max: 15233 Min: 14524 / Avg: 14608 / Max: 14763 Min: 13955 / Avg: 14138 / Max: 14335 Min: 14283 / Avg: 14632.67 / Max: 14818 Min: 14172 / Avg: 14445 / Max: 14680 Min: 14632 / Avg: 15020 / Max: 15325 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 120 240 360 480 600 SE +/- 1.64, N = 3 SE +/- 0.28, N = 3 SE +/- 0.38, N = 3 SE +/- 1.02, N = 3 SE +/- 0.83, N = 3 SE +/- 0.73, N = 3 SE +/- 1.16, N = 3 SE +/- 0.41, N = 3 SE +/- 1.01, N = 3 SE +/- 0.47, N = 3 SE +/- 0.77, N = 3 SE +/- 1.22, N = 3 SE +/- 0.76, N = 3 SE +/- 0.66, N = 3 SE +/- 0.80, N = 3 SE +/- 1.58, N = 3 SE +/- 1.18, N = 3 SE +/- 0.46, N = 3 SE +/- 0.86, N = 3 SE +/- 0.91, N = 3 547 495 426 432 464 501 465 359 457 351 453 476 430 455 517 554 329 291 461 490 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 Min: 544.07 / Avg: 546.96 / Max: 549.75 Min: 494.56 / Avg: 495.05 / Max: 495.54 Min: 425.71 / Avg: 426.44 / Max: 426.99 Min: 429.74 / Avg: 431.54 / Max: 433.28 Min: 462.75 / Avg: 463.97 / Max: 465.55 Min: 499.5 / Avg: 500.67 / Max: 502.01 Min: 463.82 / Avg: 465.19 / Max: 467.51 Min: 358.68 / Avg: 359.41 / Max: 360.1 Min: 455.58 / Avg: 456.69 / Max: 458.72 Min: 349.9 / Avg: 350.84 / Max: 351.37 Min: 451.26 / Avg: 452.56 / Max: 453.93 Min: 474.38 / Avg: 475.82 / Max: 478.24 Min: 428.45 / Avg: 429.62 / Max: 431.03 Min: 453.72 / Avg: 454.82 / Max: 456 Min: 516.26 / Avg: 517.07 / Max: 518.67 Min: 551.88 / Avg: 554.03 / Max: 557.1 Min: 327.33 / Avg: 328.92 / Max: 331.24 Min: 289.77 / Avg: 290.67 / Max: 291.29 Min: 459.77 / Avg: 460.83 / Max: 462.53 Min: 488.28 / Avg: 489.72 / Max: 491.4 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 3.65, N = 3 SE +/- 1.79, N = 3 SE +/- 0.65, N = 3 SE +/- 1.34, N = 3 SE +/- 0.99, N = 3 SE +/- 4.66, N = 4 SE +/- 4.72, N = 7 SE +/- 2.64, N = 3 SE +/- 1.85, N = 3 SE +/- 3.22, N = 3 SE +/- 1.75, N = 3 SE +/- 1.82, N = 3 SE +/- 0.66, N = 3 SE +/- 1.25, N = 3 SE +/- 4.26, N = 3 SE +/- 6.61, N = 4 SE +/- 1.95, N = 3 SE +/- 1.38, N = 3 SE +/- 4.59, N = 3 SE +/- 2.19, N = 3 294.84 299.22 238.82 240.28 251.63 327.94 419.19 799.67 252.86 624.93 311.57 342.56 293.32 365.27 279.82 454.41 772.09 702.57 553.78 286.83
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140 280 420 560 700 Min: 287.55 / Avg: 294.84 / Max: 298.7 Min: 296.83 / Avg: 299.22 / Max: 302.71 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: 314.35 / Avg: 327.94 / Max: 334.31 Min: 402.02 / Avg: 419.19 / Max: 433.8 Min: 796.13 / Avg: 799.67 / Max: 804.84 Min: 249.78 / Avg: 252.86 / Max: 256.19 Min: 620.8 / Avg: 624.93 / Max: 631.28 Min: 308.32 / Avg: 311.57 / Max: 314.31 Min: 339.55 / Avg: 342.56 / Max: 345.85 Min: 292.42 / Avg: 293.32 / Max: 294.62 Min: 362.89 / Avg: 365.27 / Max: 367.12 Min: 271.29 / Avg: 279.82 / Max: 284.22 Min: 442.12 / Avg: 454.41 / Max: 472.86 Min: 768.62 / Avg: 772.09 / Max: 775.37 Min: 699.84 / Avg: 702.57 / Max: 704.24 Min: 546.27 / Avg: 553.78 / Max: 562.1 Min: 282.46 / Avg: 286.83 / Max: 289.26
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110 220 330 440 550 SE +/- 0.75, N = 3 SE +/- 2.40, N = 3 SE +/- 2.58, N = 3 SE +/- 1.07, N = 3 SE +/- 1.51, N = 3 SE +/- 0.47, N = 3 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.43, N = 3 SE +/- 0.42, N = 3 SE +/- 0.69, N = 3 SE +/- 0.38, N = 3 SE +/- 3.58, N = 3 SE +/- 1.84, N = 3 SE +/- 1.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.38, N = 3 SE +/- 0.20, N = 3 SE +/- 1.02, N = 3 SE +/- 1.11, N = 3 291.15 321.44 492.81 439.04 429.76 268.70 185.83 92.91 424.70 107.89 301.70 216.80 290.28 225.22 343.46 178.83 88.72 93.54 130.98 323.52
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 90 180 270 360 450 Min: 290 / Avg: 291.15 / Max: 292.56 Min: 316.78 / Avg: 321.44 / Max: 324.72 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: 267.89 / Avg: 268.7 / Max: 269.5 Min: 185.61 / Avg: 185.83 / Max: 186.06 Min: 92.56 / Avg: 92.91 / Max: 93.33 Min: 423.89 / Avg: 424.7 / Max: 425.33 Min: 107.06 / Avg: 107.89 / Max: 108.39 Min: 300.33 / Avg: 301.7 / Max: 302.44 Min: 216.39 / Avg: 216.8 / Max: 217.56 Min: 283.11 / Avg: 290.28 / Max: 294 Min: 221.61 / Avg: 225.22 / Max: 227.67 Min: 341.94 / Avg: 343.46 / Max: 345.44 Min: 178.67 / Avg: 178.83 / Max: 179.06 Min: 88 / Avg: 88.72 / Max: 89.28 Min: 93.17 / Avg: 93.54 / Max: 93.83 Min: 129 / Avg: 130.98 / Max: 132.39 Min: 321.67 / Avg: 323.52 / Max: 325.5
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 0.63, N = 3 SE +/- 0.30, N = 3 SE +/- 0.29, N = 3 SE +/- 0.28, N = 3 SE +/- 0.42, N = 3 SE +/- 0.35, N = 3 SE +/- 0.21, N = 3 SE +/- 1.18, N = 3 SE +/- 0.44, N = 3 SE +/- 0.23, N = 3 SE +/- 0.55, N = 3 SE +/- 0.39, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.42, N = 3 SE +/- 0.31, N = 3 SE +/- 1.81, N = 3 SE +/- 0.54, N = 3 SE +/- 0.91, N = 3 SE +/- 0.17, N = 3 289.07 251.80 165.16 165.38 191.75 308.59 441.88 949.06 190.72 740.99 271.92 382.66 261.47 355.45 237.28 474.46 901.38 839.88 603.44 255.93
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 170 340 510 680 850 Min: 287.84 / Avg: 289.07 / Max: 289.95 Min: 251.25 / Avg: 251.8 / Max: 252.27 Min: 164.79 / Avg: 165.16 / Max: 165.74 Min: 164.83 / Avg: 165.38 / Max: 165.73 Min: 191.15 / Avg: 191.75 / Max: 192.56 Min: 307.98 / Avg: 308.59 / Max: 309.18 Min: 441.47 / Avg: 441.88 / Max: 442.18 Min: 947.29 / Avg: 949.06 / Max: 951.3 Min: 190.15 / Avg: 190.72 / Max: 191.59 Min: 740.6 / Avg: 740.99 / Max: 741.39 Min: 270.81 / Avg: 271.92 / Max: 272.54 Min: 381.89 / Avg: 382.66 / Max: 383.15 Min: 261.18 / Avg: 261.47 / Max: 261.64 Min: 355.37 / Avg: 355.45 / Max: 355.61 Min: 236.49 / Avg: 237.28 / Max: 237.91 Min: 473.99 / Avg: 474.46 / Max: 475.04 Min: 899.18 / Avg: 901.38 / Max: 904.98 Min: 839.19 / Avg: 839.88 / Max: 840.95 Min: 601.9 / Avg: 603.44 / Max: 605.04 Min: 255.71 / Avg: 255.93 / Max: 256.26
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130 260 390 520 650 SE +/- 0.58, N = 3 SE +/- 1.89, N = 3 SE +/- 0.95, N = 3 SE +/- 1.62, N = 3 SE +/- 0.76, N = 3 SE +/- 0.37, N = 3 SE +/- 0.81, N = 3 SE +/- 1.08, N = 3 SE +/- 1.20, N = 3 SE +/- 6.58, N = 3 SE +/- 0.49, N = 3 SE +/- 0.82, N = 3 SE +/- 0.48, N = 3 SE +/- 3.11, N = 9 SE +/- 0.64, N = 3 SE +/- 6.71, N = 9 SE +/- 7.53, N = 9 SE +/- 0.80, N = 3 SE +/- 4.56, N = 3 SE +/- 1.27, N = 3 194.96 204.09 227.28 265.33 210.54 212.14 274.72 463.50 228.99 499.28 212.92 233.39 206.40 291.31 201.48 288.45 604.18 433.82 465.36 200.15 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110 220 330 440 550 Min: 193.94 / Avg: 194.96 / Max: 195.95 Min: 202 / Avg: 204.09 / Max: 207.87 Min: 225.5 / Avg: 227.28 / Max: 228.76 Min: 262.49 / Avg: 265.33 / Max: 268.09 Min: 209.21 / Avg: 210.54 / Max: 211.84 Min: 211.46 / Avg: 212.14 / Max: 212.71 Min: 273.12 / Avg: 274.72 / Max: 275.73 Min: 461.34 / Avg: 463.5 / Max: 464.59 Min: 227.01 / Avg: 228.99 / Max: 231.15 Min: 486.13 / Avg: 499.28 / Max: 505.9 Min: 211.96 / Avg: 212.92 / Max: 213.58 Min: 232.52 / Avg: 233.39 / Max: 235.04 Min: 205.48 / Avg: 206.4 / Max: 207.09 Min: 277.74 / Avg: 291.31 / Max: 308.01 Min: 200.38 / Avg: 201.48 / Max: 202.6 Min: 278.16 / Avg: 288.45 / Max: 341.07 Min: 572.84 / Avg: 604.18 / Max: 632.97 Min: 432.32 / Avg: 433.82 / Max: 435.08 Min: 459.49 / Avg: 465.36 / Max: 474.33 Min: 197.97 / Avg: 200.15 / Max: 202.38 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 90K 180K 270K 360K 450K SE +/- 688.36, N = 3 SE +/- 403.57, N = 3 SE +/- 339.60, N = 3 SE +/- 509.80, N = 3 SE +/- 7856.58, N = 9 SE +/- 687.60, N = 3 SE +/- 2314.26, N = 3 SE +/- 1246.76, N = 3 SE +/- 4952.89, N = 3 SE +/- 510.20, N = 3 SE +/- 583.08, N = 3 SE +/- 434.25, N = 3 SE +/- 1305.38, N = 3 SE +/- 904.07, N = 3 SE +/- 227.82, N = 3 SE +/- 357.06, N = 3 SE +/- 161.37, N = 3 SE +/- 108.93, N = 3 SE +/- 1086.97, N = 3 SE +/- 189.78, N = 3 370762 407984 323169 324951 358400 371338 368724 368302 317560 336529 428034 345522 438631 428417 390515 370870 368379 365509 375660 408029 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80K 160K 240K 320K 400K Min: 369781 / Avg: 370762 / Max: 372089 Min: 407286 / Avg: 407984.33 / Max: 408684 Min: 322554 / Avg: 323169.33 / Max: 323726 Min: 324015 / Avg: 324951.33 / Max: 325769 Min: 335480 / Avg: 358400 / Max: 395035 Min: 369969 / Avg: 371337.67 / Max: 372138 Min: 366319 / Avg: 368723.67 / Max: 373351 Min: 365859 / Avg: 368302 / Max: 369956 Min: 311387 / Avg: 317560.33 / Max: 327356 Min: 335826 / Avg: 336529 / Max: 337521 Min: 427137 / Avg: 428034.33 / Max: 429128 Min: 344906 / Avg: 345521.67 / Max: 346360 Min: 436538 / Avg: 438631 / Max: 441029 Min: 427168 / Avg: 428417.33 / Max: 430174 Min: 390095 / Avg: 390515 / Max: 390878 Min: 370484 / Avg: 370869.67 / Max: 371583 Min: 368059 / Avg: 368378.67 / Max: 368577 Min: 365334 / Avg: 365509.33 / Max: 365709 Min: 373544 / Avg: 375660.33 / Max: 377149 Min: 407694 / Avg: 408029.33 / Max: 408351 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 3270 3177 3020 2905 3154 3084 2771 1994 3124 2220 3114 3012 3045 2917 3261 2673 1965 1939 2452 3181
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Training Score EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 1439 1319 1108 1062 1226 1338 1269 974 1216 1044 1303 1354 1249 1279 1355 1251 949 910 1184 1320
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Inference Score EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 1831 1858 1912 1843 1928 1746 1502 1020 1908 1176 1811 1658 1796 1638 1906 1422 1016 1029 1268 1861
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 870.72 1053.92 1100.25 1098.03 1100.05 1060.62 1072.30 1052.76 1102.07 945.92 1080.92 906.52 1105.99 1107.34 1038.02 1043.83 1043.71 1161.30 1042.95 1046.72
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.23, N = 15 SE +/- 0.13, N = 3 SE +/- 0.13, N = 15 SE +/- 0.23, N = 12 SE +/- 0.07, N = 3 SE +/- 0.23, N = 15 SE +/- 0.21, N = 3 SE +/- 0.25, N = 12 SE +/- 0.12, N = 15 SE +/- 0.66, N = 3 SE +/- 0.09, N = 15 SE +/- 0.19, N = 15 SE +/- 0.26, N = 15 SE +/- 0.19, N = 15 SE +/- 0.10, N = 12 SE +/- 0.40, N = 3 SE +/- 0.33, N = 3 SE +/- 0.73, N = 3 SE +/- 0.20, N = 12 SE +/- 0.06, N = 12 32.60 27.39 28.32 32.53 28.29 33.29 40.25 51.11 29.08 45.21 28.00 34.18 28.78 37.00 26.92 37.16 50.44 48.96 44.08 27.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 31.3 / Avg: 32.6 / Max: 33.96 Min: 27.23 / Avg: 27.39 / Max: 27.64 Min: 27.64 / Avg: 28.32 / Max: 29.38 Min: 31.11 / Avg: 32.53 / Max: 33.96 Min: 28.21 / Avg: 28.29 / Max: 28.43 Min: 32.08 / Avg: 33.29 / Max: 35.28 Min: 40.01 / Avg: 40.25 / Max: 40.66 Min: 49.99 / Avg: 51.11 / Max: 52.36 Min: 28.43 / Avg: 29.08 / Max: 29.83 Min: 44.43 / Avg: 45.21 / Max: 46.53 Min: 27.56 / Avg: 28 / Max: 28.75 Min: 33.19 / Avg: 34.18 / Max: 35.14 Min: 27.78 / Avg: 28.78 / Max: 31.81 Min: 35.97 / Avg: 37 / Max: 38.04 Min: 26.35 / Avg: 26.92 / Max: 27.47 Min: 36.4 / Avg: 37.16 / Max: 37.73 Min: 49.77 / Avg: 50.44 / Max: 50.85 Min: 47.67 / Avg: 48.96 / Max: 50.18 Min: 43.1 / Avg: 44.08 / Max: 45.16 Min: 27.07 / Avg: 27.51 / Max: 27.89 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.205, N = 15 SE +/- 0.015, N = 3 SE +/- 0.020, N = 15 SE +/- 0.067, N = 12 SE +/- 0.177, N = 3 SE +/- 0.188, N = 15 SE +/- 0.085, N = 3 SE +/- 0.064, N = 12 SE +/- 0.049, N = 15 SE +/- 0.038, N = 3 SE +/- 0.010, N = 15 SE +/- 0.012, N = 15 SE +/- 0.054, N = 15 SE +/- 0.245, N = 15 SE +/- 0.017, N = 12 SE +/- 0.048, N = 3 SE +/- 0.084, N = 3 SE +/- 0.055, N = 3 SE +/- 0.090, N = 12 SE +/- 0.020, N = 12 5.896 5.472 5.348 6.541 5.546 6.416 7.800 8.677 5.712 7.068 5.262 6.528 5.307 6.949 5.134 7.536 8.284 7.927 9.640 5.450 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 4.97 / Avg: 5.9 / Max: 6.79 Min: 5.45 / Avg: 5.47 / Max: 5.5 Min: 5.26 / Avg: 5.35 / Max: 5.52 Min: 6.25 / Avg: 6.54 / Max: 7.01 Min: 5.33 / Avg: 5.55 / Max: 5.9 Min: 5.32 / Avg: 6.42 / Max: 7.16 Min: 7.63 / Avg: 7.8 / Max: 7.91 Min: 8.16 / Avg: 8.68 / Max: 9.01 Min: 5.4 / Avg: 5.71 / Max: 5.9 Min: 7.01 / Avg: 7.07 / Max: 7.14 Min: 5.21 / Avg: 5.26 / Max: 5.33 Min: 6.45 / Avg: 6.53 / Max: 6.61 Min: 5.16 / Avg: 5.31 / Max: 5.94 Min: 5.7 / Avg: 6.95 / Max: 7.81 Min: 4.99 / Avg: 5.13 / Max: 5.2 Min: 7.49 / Avg: 7.54 / Max: 7.63 Min: 8.15 / Avg: 8.28 / Max: 8.44 Min: 7.83 / Avg: 7.93 / Max: 8.03 Min: 9.14 / Avg: 9.64 / Max: 10.38 Min: 5.34 / Avg: 5.45 / Max: 5.58 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.071, N = 15 SE +/- 0.014, N = 3 SE +/- 0.023, N = 15 SE +/- 0.025, N = 12 SE +/- 0.087, N = 3 SE +/- 0.074, N = 15 SE +/- 0.063, N = 3 SE +/- 0.027, N = 12 SE +/- 0.028, N = 15 SE +/- 0.068, N = 3 SE +/- 0.034, N = 15 SE +/- 0.012, N = 15 SE +/- 0.074, N = 15 SE +/- 0.121, N = 15 SE +/- 0.012, N = 12 SE +/- 0.106, N = 3 SE +/- 0.039, N = 3 SE +/- 0.036, N = 3 SE +/- 0.067, N = 12 SE +/- 0.071, N = 12 5.847 4.920 5.077 5.630 5.032 5.905 6.986 6.320 5.059 5.581 4.864 6.099 5.313 6.138 4.674 6.353 5.882 5.979 5.899 5.027 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.51 / Avg: 5.85 / Max: 6.23 Min: 4.9 / Avg: 4.92 / Max: 4.95 Min: 4.83 / Avg: 5.08 / Max: 5.22 Min: 5.48 / Avg: 5.63 / Max: 5.83 Min: 4.88 / Avg: 5.03 / Max: 5.18 Min: 5.45 / Avg: 5.91 / Max: 6.45 Min: 6.86 / Avg: 6.99 / Max: 7.06 Min: 6.18 / Avg: 6.32 / Max: 6.49 Min: 4.82 / Avg: 5.06 / Max: 5.19 Min: 5.51 / Avg: 5.58 / Max: 5.72 Min: 4.63 / Avg: 4.86 / Max: 5.19 Min: 6 / Avg: 6.1 / Max: 6.16 Min: 4.77 / Avg: 5.31 / Max: 5.9 Min: 5.41 / Avg: 6.14 / Max: 6.86 Min: 4.61 / Avg: 4.67 / Max: 4.76 Min: 6.14 / Avg: 6.35 / Max: 6.46 Min: 5.83 / Avg: 5.88 / Max: 5.96 Min: 5.91 / Avg: 5.98 / Max: 6.03 Min: 5.56 / Avg: 5.9 / Max: 6.3 Min: 4.7 / Avg: 5.03 / Max: 5.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 SE +/- 0.50, N = 15 SE +/- 0.02, N = 3 SE +/- 0.18, N = 15 SE +/- 0.27, N = 12 SE +/- 0.52, N = 3 SE +/- 0.34, N = 15 SE +/- 0.20, N = 3 SE +/- 0.21, N = 12 SE +/- 0.20, N = 15 SE +/- 0.20, N = 3 SE +/- 0.13, N = 15 SE +/- 0.10, N = 15 SE +/- 0.23, N = 15 SE +/- 0.52, N = 15 SE +/- 0.09, N = 12 SE +/- 0.35, N = 3 SE +/- 0.29, N = 3 SE +/- 0.34, N = 3 SE +/- 0.09, N = 12 SE +/- 0.08, N = 12 33.21 30.26 30.09 35.87 29.88 35.49 40.76 45.29 32.38 37.04 30.04 35.13 29.99 37.37 28.86 40.11 45.16 41.01 43.62 30.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 30.33 / Avg: 33.21 / Max: 36.17 Min: 30.23 / Avg: 30.26 / Max: 30.3 Min: 29.38 / Avg: 30.09 / Max: 31.43 Min: 34.52 / Avg: 35.87 / Max: 37.57 Min: 29.32 / Avg: 29.88 / Max: 30.92 Min: 33.3 / Avg: 35.49 / Max: 37.55 Min: 40.4 / Avg: 40.76 / Max: 41.09 Min: 44.17 / Avg: 45.29 / Max: 46.55 Min: 31.46 / Avg: 32.38 / Max: 33.54 Min: 36.82 / Avg: 37.04 / Max: 37.43 Min: 29.11 / Avg: 30.04 / Max: 30.8 Min: 34.59 / Avg: 35.13 / Max: 35.77 Min: 28.55 / Avg: 29.99 / Max: 31.88 Min: 33.73 / Avg: 37.37 / Max: 40.26 Min: 28.2 / Avg: 28.86 / Max: 29.24 Min: 39.57 / Avg: 40.11 / Max: 40.76 Min: 44.79 / Avg: 45.16 / Max: 45.73 Min: 40.35 / Avg: 41.01 / Max: 41.47 Min: 42.99 / Avg: 43.62 / Max: 44.1 Min: 30.13 / Avg: 30.49 / Max: 30.89 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.263, N = 15 SE +/- 0.050, N = 3 SE +/- 0.188, N = 15 SE +/- 0.244, N = 12 SE +/- 0.145, N = 3 SE +/- 0.122, N = 15 SE +/- 0.201, N = 3 SE +/- 0.174, N = 12 SE +/- 0.300, N = 15 SE +/- 0.082, N = 3 SE +/- 0.188, N = 15 SE +/- 0.377, N = 15 SE +/- 0.175, N = 15 SE +/- 0.130, N = 15 SE +/- 0.188, N = 12 SE +/- 0.144, N = 3 SE +/- 0.125, N = 3 SE +/- 0.100, N = 3 SE +/- 0.168, N = 12 SE +/- 0.301, N = 12 9.930 9.489 10.048 10.193 9.173 10.000 11.608 11.859 10.125 10.034 9.113 11.454 10.073 10.433 8.802 10.345 11.582 11.122 12.611 9.300 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 8.95 / Avg: 9.93 / Max: 13.23 Min: 9.42 / Avg: 9.49 / Max: 9.59 Min: 8.94 / Avg: 10.05 / Max: 11.4 Min: 9.1 / Avg: 10.19 / Max: 11.94 Min: 8.88 / Avg: 9.17 / Max: 9.33 Min: 9.38 / Avg: 10 / Max: 10.74 Min: 11.21 / Avg: 11.61 / Max: 11.81 Min: 10.97 / Avg: 11.86 / Max: 13.05 Min: 8.73 / Avg: 10.12 / Max: 12.48 Min: 9.93 / Avg: 10.03 / Max: 10.2 Min: 8.35 / Avg: 9.11 / Max: 11.28 Min: 9.93 / Avg: 11.45 / Max: 15.85 Min: 9.24 / Avg: 10.07 / Max: 11.28 Min: 9.2 / Avg: 10.43 / Max: 11.2 Min: 7.85 / Avg: 8.8 / Max: 10.38 Min: 10.08 / Avg: 10.34 / Max: 10.57 Min: 11.4 / Avg: 11.58 / Max: 11.82 Min: 10.97 / Avg: 11.12 / Max: 11.31 Min: 11.71 / Avg: 12.61 / Max: 13.62 Min: 8.31 / Avg: 9.3 / Max: 11.87 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140K 280K 420K 560K 700K 317830 363429 627953 635485 521818 295105 203319 103756 515657 116858 339539 218441 345756 259728 401222 198305 104822 105887 157819 376690 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 SE +/- 0.66, N = 3 SE +/- 0.67, N = 3 SE +/- 0.69, N = 3 SE +/- 0.89, N = 3 SE +/- 1.49, N = 3 SE +/- 0.15, N = 3 SE +/- 0.59, N = 3 SE +/- 0.65, N = 3 SE +/- 0.73, N = 3 SE +/- 0.50, N = 3 SE +/- 0.43, N = 3 SE +/- 0.78, N = 3 SE +/- 0.89, N = 3 SE +/- 0.34, N = 3 SE +/- 0.56, N = 3 SE +/- 0.81, N = 3 SE +/- 1.33, N = 3 SE +/- 0.21, N = 3 SE +/- 2.14, N = 3 SE +/- 0.73, N = 3 295.26 325.26 339.37 336.92 337.00 327.87 329.31 323.28 336.45 308.52 325.66 298.47 334.67 337.30 323.34 312.18 330.05 335.95 316.06 328.27
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 294.29 / Avg: 295.26 / Max: 296.51 Min: 324.12 / Avg: 325.26 / Max: 326.43 Min: 338.14 / Avg: 339.37 / Max: 340.54 Min: 335.33 / Avg: 336.92 / Max: 338.41 Min: 335.1 / Avg: 337 / Max: 339.94 Min: 327.57 / Avg: 327.87 / Max: 328.02 Min: 328.38 / Avg: 329.31 / Max: 330.4 Min: 322.49 / Avg: 323.28 / Max: 324.58 Min: 335.49 / Avg: 336.45 / Max: 337.89 Min: 307.64 / Avg: 308.52 / Max: 309.36 Min: 324.97 / Avg: 325.66 / Max: 326.46 Min: 297.17 / Avg: 298.47 / Max: 299.86 Min: 332.93 / Avg: 334.67 / Max: 335.9 Min: 336.62 / Avg: 337.3 / Max: 337.69 Min: 322.33 / Avg: 323.34 / Max: 324.28 Min: 310.68 / Avg: 312.18 / Max: 313.44 Min: 328.14 / Avg: 330.05 / Max: 332.6 Min: 335.53 / Avg: 335.95 / Max: 336.24 Min: 312.44 / Avg: 316.06 / Max: 319.84 Min: 327.19 / Avg: 328.27 / Max: 329.67
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 SE +/- 0.60, N = 3 SE +/- 1.20, N = 3 SE +/- 0.31, N = 3 SE +/- 0.71, N = 3 SE +/- 1.72, N = 3 SE +/- 0.37, N = 3 SE +/- 0.21, N = 3 SE +/- 0.59, N = 3 SE +/- 1.91, N = 3 SE +/- 0.52, N = 3 SE +/- 0.39, N = 3 SE +/- 0.25, N = 3 SE +/- 1.18, N = 3 SE +/- 0.78, N = 3 SE +/- 0.74, N = 3 SE +/- 0.49, N = 3 SE +/- 1.06, N = 3 SE +/- 0.94, N = 3 SE +/- 1.55, N = 3 SE +/- 0.70, N = 3 318.42 300.32 293.14 299.00 292.04 299.52 296.95 262.38 295.56 334.49 301.55 338.78 294.22 285.63 304.52 290.46 285.87 301.92 286.69 302.31
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 317.22 / Avg: 318.42 / Max: 319.05 Min: 298.01 / Avg: 300.32 / Max: 302.05 Min: 292.52 / Avg: 293.14 / Max: 293.46 Min: 297.69 / Avg: 299 / Max: 300.14 Min: 288.63 / Avg: 292.04 / Max: 294.16 Min: 298.99 / Avg: 299.52 / Max: 300.22 Min: 296.74 / Avg: 296.95 / Max: 297.36 Min: 261.34 / Avg: 262.38 / Max: 263.38 Min: 293.07 / Avg: 295.56 / Max: 299.32 Min: 333.83 / Avg: 334.49 / Max: 335.52 Min: 300.83 / Avg: 301.55 / Max: 302.18 Min: 338.28 / Avg: 338.78 / Max: 339.09 Min: 292.64 / Avg: 294.22 / Max: 296.53 Min: 284.14 / Avg: 285.63 / Max: 286.75 Min: 303.14 / Avg: 304.52 / Max: 305.68 Min: 289.5 / Avg: 290.46 / Max: 291.13 Min: 284.04 / Avg: 285.87 / Max: 287.7 Min: 300.3 / Avg: 301.92 / Max: 303.55 Min: 283.82 / Avg: 286.69 / Max: 289.14 Min: 301.26 / Avg: 302.31 / Max: 303.63
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140 280 420 560 700 SE +/- 0.03, N = 3 SE +/- 0.37, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.92, N = 3 SE +/- 0.76, N = 3 SE +/- 1.46, N = 3 SE +/- 0.37, N = 3 SE +/- 0.71, N = 3 SE +/- 1.21, N = 3 SE +/- 0.08, N = 3 SE +/- 1.29, N = 3 SE +/- 0.28, N = 3 SE +/- 0.75, N = 3 SE +/- 1.54, N = 3 SE +/- 0.91, N = 3 SE +/- 1.13, N = 3 SE +/- 0.66, N = 3 SE +/- 0.49, N = 3 198.29 179.24 112.70 112.75 133.19 217.18 314.32 632.59 130.69 503.70 197.80 264.58 186.22 249.36 165.59 339.18 625.57 586.46 431.29 176.75
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110 220 330 440 550 Min: 198.23 / Avg: 198.29 / Max: 198.32 Min: 178.66 / Avg: 179.24 / Max: 179.92 Min: 112.45 / Avg: 112.7 / Max: 112.92 Min: 112.54 / Avg: 112.75 / Max: 112.87 Min: 132.79 / Avg: 133.19 / Max: 133.49 Min: 215.35 / Avg: 217.18 / Max: 218.25 Min: 313.32 / Avg: 314.32 / Max: 315.81 Min: 630.83 / Avg: 632.59 / Max: 635.48 Min: 130.1 / Avg: 130.69 / Max: 131.36 Min: 502.58 / Avg: 503.7 / Max: 505.02 Min: 196.12 / Avg: 197.8 / Max: 200.15 Min: 264.44 / Avg: 264.58 / Max: 264.72 Min: 184.11 / Avg: 186.22 / Max: 188.57 Min: 248.79 / Avg: 249.36 / Max: 249.66 Min: 164.16 / Avg: 165.59 / Max: 166.7 Min: 336.13 / Avg: 339.18 / Max: 341.08 Min: 624.29 / Avg: 625.57 / Max: 627.33 Min: 584.48 / Avg: 586.46 / Max: 588.41 Min: 430.28 / Avg: 431.29 / Max: 432.54 Min: 176.01 / Avg: 176.75 / Max: 177.67
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 SE +/- 0.16, N = 3 SE +/- 0.42, N = 3 SE +/- 0.38, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.42, N = 3 SE +/- 0.43, N = 3 SE +/- 0.22, N = 3 SE +/- 0.79, N = 3 SE +/- 0.40, N = 3 SE +/- 0.41, N = 3 SE +/- 0.40, N = 3 SE +/- 0.44, N = 3 SE +/- 0.56, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 262.15 283.69 287.49 285.86 287.72 283.80 287.70 317.25 288.66 253.15 284.17 250.34 289.39 303.03 280.26 295.00 299.40 284.19 299.48 283.83 1. (CXX) g++ options: -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 261.93 / Avg: 262.15 / Max: 262.47 Min: 283.03 / Avg: 283.69 / Max: 284.46 Min: 287.04 / Avg: 287.49 / Max: 288.24 Min: 285.61 / Avg: 285.86 / Max: 286.04 Min: 286.99 / Avg: 287.72 / Max: 288.45 Min: 283.5 / Avg: 283.8 / Max: 284.24 Min: 287.32 / Avg: 287.7 / Max: 287.89 Min: 316.76 / Avg: 317.25 / Max: 317.67 Min: 288.26 / Avg: 288.66 / Max: 288.94 Min: 252.34 / Avg: 253.15 / Max: 253.74 Min: 283.53 / Avg: 284.17 / Max: 284.98 Min: 250.1 / Avg: 250.34 / Max: 250.78 Min: 287.82 / Avg: 289.39 / Max: 290.18 Min: 302.31 / Avg: 303.03 / Max: 303.67 Min: 279.55 / Avg: 280.26 / Max: 280.97 Min: 294.38 / Avg: 295 / Max: 295.76 Min: 298.85 / Avg: 299.4 / Max: 300.28 Min: 283.27 / Avg: 284.18 / Max: 285.21 Min: 298.98 / Avg: 299.48 / Max: 299.82 Min: 283.49 / Avg: 283.83 / Max: 284.12 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 SE +/- 4.53, N = 3 SE +/- 6.76, N = 3 SE +/- 11.98, N = 3 SE +/- 12.00, N = 3 SE +/- 3.03, N = 3 SE +/- 4.51, N = 3 SE +/- 13.80, N = 3 SE +/- 9.01, N = 3 SE +/- 1.56, N = 3 SE +/- 4.57, N = 3 SE +/- 4.72, N = 3 SE +/- 16.76, N = 3 SE +/- 7.15, N = 3 SE +/- 9.23, N = 3 SE +/- 15.88, N = 3 SE +/- 6.37, N = 3 SE +/- 18.75, N = 3 SE +/- 8.18, N = 3 SE +/- 12.09, N = 3 SE +/- 0.94, N = 3 5661.0 5028.0 5040.7 5107.6 5013.4 5061.8 4980.0 4732.0 5024.5 5671.4 5049.7 5705.4 5002.8 4728.4 5108.5 4812.5 4732.2 5019.6 4772.9 5061.3 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 Min: 5653.7 / Avg: 5660.97 / Max: 5669.3 Min: 5017 / Avg: 5027.97 / Max: 5040.3 Min: 5022.3 / Avg: 5040.73 / Max: 5063.2 Min: 5084 / Avg: 5107.6 / Max: 5123.2 Min: 5008.1 / Avg: 5013.37 / Max: 5018.6 Min: 5055.7 / Avg: 5061.8 / Max: 5070.6 Min: 4955.2 / Avg: 4980 / Max: 5002.9 Min: 4714.4 / Avg: 4732.03 / Max: 4744.1 Min: 5021.7 / Avg: 5024.5 / Max: 5027.1 Min: 5662.3 / Avg: 5671.43 / Max: 5676.2 Min: 5044.1 / Avg: 5049.73 / Max: 5059.1 Min: 5672.1 / Avg: 5705.43 / Max: 5725.2 Min: 4988.8 / Avg: 5002.77 / Max: 5012.4 Min: 4718 / Avg: 4728.4 / Max: 4746.8 Min: 5089.3 / Avg: 5108.5 / Max: 5140 Min: 4800.8 / Avg: 4812.5 / Max: 4822.7 Min: 4704 / Avg: 4732.2 / Max: 4767.7 Min: 5010.6 / Avg: 5019.57 / Max: 5035.9 Min: 4749 / Avg: 4772.93 / Max: 4787.9 Min: 5059.5 / Avg: 5061.33 / Max: 5062.6 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50K 100K 150K 200K 250K SE +/- 1306.16, N = 3 SE +/- 129.37, N = 3 SE +/- 489.67, N = 3 SE +/- 83.95, N = 3 SE +/- 2682.21, N = 12 SE +/- 127.33, N = 3 SE +/- 69.83, N = 3 SE +/- 257.35, N = 3 SE +/- 3084.79, N = 12 SE +/- 330.74, N = 3 SE +/- 206.99, N = 3 SE +/- 329.04, N = 3 SE +/- 957.14, N = 3 SE +/- 2045.88, N = 3 SE +/- 380.24, N = 3 SE +/- 267.63, N = 3 SE +/- 315.77, N = 3 SE +/- 323.85, N = 3 SE +/- 851.31, N = 3 SE +/- 324.32, N = 3 184637 203437 161679 162845 177549 185776 183027 184509 165786 167810 213475 172494 218984 209600 195590 185308 183925 183100 187798 203772 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K Min: 182918 / Avg: 184637 / Max: 187200 Min: 203278 / Avg: 203436.67 / Max: 203693 Min: 160807 / Avg: 161679.33 / Max: 162501 Min: 162677 / Avg: 162844.67 / Max: 162936 Min: 157259 / Avg: 177549 / Max: 190775 Min: 185553 / Avg: 185776 / Max: 185994 Min: 182924 / Avg: 183026.67 / Max: 183160 Min: 184055 / Avg: 184509 / Max: 184946 Min: 155868 / Avg: 165785.58 / Max: 190504 Min: 167261 / Avg: 167809.67 / Max: 168404 Min: 213201 / Avg: 213475.33 / Max: 213881 Min: 171844 / Avg: 172494 / Max: 172908 Min: 217558 / Avg: 218984 / Max: 220803 Min: 207151 / Avg: 209599.67 / Max: 213663 Min: 195038 / Avg: 195590 / Max: 196319 Min: 184775 / Avg: 185308 / Max: 185617 Min: 183587 / Avg: 183925 / Max: 184556 Min: 182465 / Avg: 183099.67 / Max: 183529 Min: 186460 / Avg: 187798.33 / Max: 189379 Min: 203233 / Avg: 203772 / Max: 204354 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 619.74 682.90 755.11 770.65 734.24 672.93 679.00 796.72 725.77 762.90 694.08 699.50 737.06 699.94 667.86 713.90 807.88 816.12 689.57 686.79
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 0.50, N = 3 SE +/- 1.44, N = 3 SE +/- 3.47, N = 3 SE +/- 1.25, N = 3 SE +/- 1.36, N = 3 SE +/- 0.24, N = 5 SE +/- 1.58, N = 3 SE +/- 8.56, N = 3 SE +/- 1.63, N = 3 SE +/- 4.63, N = 3 SE +/- 2.62, N = 3 SE +/- 2.11, N = 3 SE +/- 1.23, N = 3 SE +/- 1.50, N = 3 SE +/- 1.18, N = 3 SE +/- 0.77, N = 4 SE +/- 2.79, N = 3 SE +/- 3.68, N = 3 SE +/- 0.83, N = 3 SE +/- 0.30, N = 4 1227 1097 1015 1021 1086 1103 1041 889 1060 876 1002 1105 961 993 1155 1240 833 743 1114 1090 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 1226.99 / Avg: 1227.5 / Max: 1228.5 Min: 1094.09 / Avg: 1096.9 / Max: 1098.9 Min: 1008.06 / Avg: 1014.91 / Max: 1019.37 Min: 1019.37 / Avg: 1021.11 / Max: 1023.54 Min: 1083.42 / Avg: 1085.78 / Max: 1088.14 Min: 1102.54 / Avg: 1102.78 / Max: 1103.75 Min: 1038.42 / Avg: 1040.95 / Max: 1043.84 Min: 872.6 / Avg: 888.79 / Max: 901.71 Min: 1057.08 / Avg: 1059.7 / Max: 1062.7 Min: 871.84 / Avg: 876.47 / Max: 885.74 Min: 998 / Avg: 1002.35 / Max: 1007.05 Min: 1101.32 / Avg: 1104.98 / Max: 1108.65 Min: 959.69 / Avg: 960.93 / Max: 963.39 Min: 990.1 / Avg: 993.05 / Max: 995.02 Min: 1153.4 / Avg: 1155.18 / Max: 1157.41 Min: 1237.62 / Avg: 1239.93 / Max: 1240.69 Min: 830.56 / Avg: 833.35 / Max: 838.93 Min: 736.92 / Avg: 742.98 / Max: 749.63 Min: 1112.35 / Avg: 1114 / Max: 1114.83 Min: 1089.32 / Avg: 1090.22 / Max: 1090.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9K 18K 27K 36K 45K SE +/- 285.80, N = 3 SE +/- 1500.19, N = 15 SE +/- 795.56, N = 15 SE +/- 1241.24, N = 15 SE +/- 1453.80, N = 15 SE +/- 1166.90, N = 15 SE +/- 105.39, N = 3 SE +/- 1470.68, N = 15 SE +/- 42.49, N = 3 SE +/- 523.42, N = 3 SE +/- 608.18, N = 4 SE +/- 1767.24, N = 12 SE +/- 780.64, N = 15 SE +/- 492.75, N = 15 SE +/- 874.93, N = 15 SE +/- 1264.73, N = 15 SE +/- 1025.97, N = 15 SE +/- 1332.08, N = 15 SE +/- 1073.34, N = 15 SE +/- 373.43, N = 13 42539.39 35252.61 31516.89 39537.66 34934.58 39574.47 42792.16 36365.94 42701.74 41386.61 42122.70 36546.04 31770.21 41379.54 32096.98 37214.09 37826.40 39802.05 38461.11 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7K 14K 21K 28K 35K Min: 42011.63 / Avg: 42539.39 / Max: 42993.4 Min: 30703.43 / Avg: 35252.61 / Max: 42875.53 Min: 30659.38 / Avg: 31516.89 / Max: 42653.89 Min: 30632.91 / Avg: 39537.66 / Max: 42785.08 Min: 30463.06 / Avg: 34934.58 / Max: 42519.99 Min: 30763.21 / Avg: 39574.47 / Max: 42896.97 Min: 42583.25 / Avg: 42792.16 / Max: 42920.88 Min: 30678.26 / Avg: 36365.94 / Max: 42678.53 Min: 42627.17 / Avg: 42701.74 / Max: 42774.31 Min: 40397.09 / Avg: 41386.61 / Max: 42177.24 Min: 40298.4 / Avg: 42122.7 / Max: 42759.19 Min: 31012.57 / Avg: 36546.04 / Max: 43442.72 Min: 30621.49 / Avg: 31770.21 / Max: 41410.02 Min: 36500.03 / Avg: 41379.54 / Max: 42631.69 Min: 30840.22 / Avg: 32096.98 / Max: 43103.18 Min: 30700.49 / Avg: 37214.09 / Max: 42664.5 Min: 30450.13 / Avg: 37826.4 / Max: 41664.04 Min: 30778.85 / Avg: 39802.05 / Max: 42975.71 Min: 31707.88 / Avg: 38461.11 / Max: 42120.8 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K SE +/- 1785.82, N = 3 SE +/- 119.50, N = 3 SE +/- 118.55, N = 3 SE +/- 207.27, N = 3 SE +/- 4669.23, N = 12 SE +/- 104.74, N = 3 SE +/- 74.55, N = 3 SE +/- 1138.71, N = 3 SE +/- 5113.88, N = 12 SE +/- 259.29, N = 3 SE +/- 65.84, N = 3 SE +/- 158.88, N = 3 SE +/- 2602.65, N = 4 SE +/- 283.68, N = 3 SE +/- 309.87, N = 3 SE +/- 18.90, N = 3 SE +/- 872.40, N = 3 SE +/- 49.13, N = 3 SE +/- 2784.79, N = 3 SE +/- 177.34, N = 3 151858 163571 122716 123652 150608 149533 147070 151504 132666 138475 170209 138300 182245 169060 157348 150213 152406 148683 161347 163216 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 149741 / Avg: 151858.33 / Max: 155408 Min: 163333 / Avg: 163571.33 / Max: 163706 Min: 122555 / Avg: 122715.67 / Max: 122947 Min: 123343 / Avg: 123652.33 / Max: 124046 Min: 121179 / Avg: 150607.67 / Max: 168454 Min: 149413 / Avg: 149533.33 / Max: 149742 Min: 146991 / Avg: 147070 / Max: 147219 Min: 150249 / Avg: 151503.67 / Max: 153777 Min: 119362 / Avg: 132665.67 / Max: 167664 Min: 137991 / Avg: 138475.33 / Max: 138878 Min: 170097 / Avg: 170209.33 / Max: 170325 Min: 138096 / Avg: 138300 / Max: 138613 Min: 175128 / Avg: 182244.75 / Max: 187464 Min: 168535 / Avg: 169059.67 / Max: 169509 Min: 156779 / Avg: 157348.33 / Max: 157845 Min: 150185 / Avg: 150213 / Max: 150249 Min: 150661 / Avg: 152405.67 / Max: 153296 Min: 148596 / Avg: 148683.33 / Max: 148766 Min: 156030 / Avg: 161346.67 / Max: 165442 Min: 163025 / Avg: 163215.67 / Max: 163570 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70M 140M 210M 280M 350M SE +/- 474278.12, N = 3 SE +/- 249228.70, N = 3 SE +/- 128106.17, N = 3 SE +/- 259915.46, N = 3 SE +/- 326600.42, N = 3 SE +/- 115844.25, N = 3 SE +/- 122611.09, N = 3 SE +/- 656575.68, N = 3 SE +/- 149246.40, N = 3 SE +/- 957923.37, N = 3 SE +/- 3735800.36, N = 3 SE +/- 134083.43, N = 3 SE +/- 208309.65, N = 3 SE +/- 159242.75, N = 3 SE +/- 606796.66, N = 3 SE +/- 178481.76, N = 3 SE +/- 3346394.39, N = 3 SE +/- 135788.68, N = 3 SE +/- 168177.47, N = 3 SE +/- 19204.56, N = 3 321630965.00 291736111.66 286590944.39 291064294.15 286220634.19 291468543.97 287328501.00 276849835.77 287471325.10 338683643.76 288397184.91 338580247.88 287157431.51 274090977.81 295999448.27 278269504.20 274235020.34 295319267.70 278208760.91 291131291.45 1. (CC) gcc options: -O3 -march=native -lm
Result Confidence
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60M 120M 180M 240M 300M Min: 320981498.89 / Avg: 321630965 / Max: 322554417.13 Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08 Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79 Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67 Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92 Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43 Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24 Min: 275537498.15 / Avg: 276849835.77 / Max: 277546034 Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37 Min: 336869842.29 / Avg: 338683643.76 / Max: 340124814.79 Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513 Min: 338327615.57 / Avg: 338580247.88 / Max: 338784460.06 Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5 Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11 Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85 Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39 Min: 267542253.13 / Avg: 274235020.34 / Max: 277596120.27 Min: 295083179.89 / Avg: 295319267.7 / Max: 295553555.36 Min: 277993425.1 / Avg: 278208760.91 / Max: 278540200.69 Min: 291097868.07 / Avg: 291131291.45 / Max: 291164392.26 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K SE +/- 1393.40, N = 15 SE +/- 21.16, N = 3 SE +/- 1423.80, N = 15 SE +/- 1304.15, N = 12 SE +/- 1193.70, N = 15 SE +/- 190.07, N = 3 SE +/- 991.03, N = 15 SE +/- 1342.99, N = 15 SE +/- 281.32, N = 3 SE +/- 453.53, N = 6 SE +/- 1361.34, N = 15 SE +/- 1117.17, N = 15 SE +/- 7.75, N = 3 SE +/- 259.53, N = 3 SE +/- 809.42, N = 15 SE +/- 1005.60, N = 15 SE +/- 1027.10, N = 12 SE +/- 805.76, N = 15 SE +/- 595.11, N = 3 SE +/- 1184.84, N = 15 33193.10 28922.64 34675.89 34333.32 31400.38 39500.82 30300.97 34824.99 39290.98 38204.50 32972.78 31998.12 28833.07 39129.02 30650.76 36075.79 35780.10 37752.01 38287.21 31886.75 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7K 14K 21K 28K 35K Min: 28912.46 / Avg: 33193.1 / Max: 40197.83 Min: 28897.62 / Avg: 28922.64 / Max: 28964.71 Min: 28796.99 / Avg: 34675.89 / Max: 39936.31 Min: 28806.96 / Avg: 34333.32 / Max: 39623.27 Min: 28556.23 / Avg: 31400.38 / Max: 38984.63 Min: 39229.86 / Avg: 39500.82 / Max: 39867.21 Min: 28779.54 / Avg: 30300.97 / Max: 39971.89 Min: 28802.15 / Avg: 34824.99 / Max: 39755.82 Min: 38805.87 / Avg: 39290.98 / Max: 39780.38 Min: 36621.29 / Avg: 38204.5 / Max: 39661.73 Min: 28842.8 / Avg: 32972.78 / Max: 40047.41 Min: 29021.31 / Avg: 31998.12 / Max: 39806.02 Min: 28817.58 / Avg: 28833.07 / Max: 28841.12 Min: 38835.57 / Avg: 39129.02 / Max: 39646.52 Min: 28877.33 / Avg: 30650.76 / Max: 37858.63 Min: 28858.64 / Avg: 36075.79 / Max: 39965.31 Min: 28785.93 / Avg: 35780.1 / Max: 38995.76 Min: 28871.15 / Avg: 37752.01 / Max: 40001.21 Min: 37254.45 / Avg: 38287.21 / Max: 39315.97 Min: 28786.75 / Avg: 31886.75 / Max: 40051.06 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K SE +/- 6259.81, N = 11 SE +/- 416.48, N = 3 SE +/- 386.83, N = 3 SE +/- 320.44, N = 3 SE +/- 202.26, N = 3 SE +/- 4315.53, N = 3 SE +/- 9257.15, N = 3 SE +/- 4574.26, N = 3 SE +/- 161.22, N = 3 SE +/- 5220.90, N = 8 SE +/- 346.34, N = 3 SE +/- 1524.48, N = 3 SE +/- 1164.99, N = 3 SE +/- 4423.99, N = 3 SE +/- 40675.14, N = 15 SE +/- 2819.70, N = 3 SE +/- 7046.75, N = 3 SE +/- 6337.53, N = 3 SE +/- 8602.32, N = 3 SE +/- 920.11, N = 3 712718 358699 298290 297390 284086 787488 627525 464241 310241 506118 335316 590994 283541 673423 674066 640966 469574 456675 574354 328810 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140K 280K 420K 560K 700K Min: 685758 / Avg: 712718 / Max: 751042 Min: 357882 / Avg: 358698.67 / Max: 359249 Min: 297519 / Avg: 298290.33 / Max: 298728 Min: 297028 / Avg: 297390 / Max: 298029 Min: 283684 / Avg: 284086 / Max: 284326 Min: 778964 / Avg: 787487.67 / Max: 792925 Min: 609012 / Avg: 627525 / Max: 636971 Min: 459420 / Avg: 464241 / Max: 473385 Min: 310045 / Avg: 310241.33 / Max: 310561 Min: 481898 / Avg: 506117.63 / Max: 523042 Min: 334741 / Avg: 335316 / Max: 335938 Min: 588002 / Avg: 590994.33 / Max: 592997 Min: 282294 / Avg: 283541 / Max: 285869 Min: 664708 / Avg: 673423 / Max: 679104 Min: 381485 / Avg: 674066.47 / Max: 841490 Min: 635510 / Avg: 640965.67 / Max: 644930 Min: 461485 / Avg: 469573.67 / Max: 483613 Min: 448311 / Avg: 456675.33 / Max: 469105 Min: 558593 / Avg: 574353.67 / Max: 588209 Min: 327023 / Avg: 328810 / Max: 330084 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 120 240 360 480 600 SE +/- 1.45, N = 3 SE +/- 3.76, N = 3 SE +/- 20.04, N = 15 SE +/- 9.46, N = 14 SE +/- 5.24, N = 3 SE +/- 7.12, N = 15 SE +/- 4.11, N = 5 SE +/- 5.66, N = 15 SE +/- 4.45, N = 15 SE +/- 12.76, N = 14 SE +/- 3.38, N = 3 SE +/- 6.21, N = 15 SE +/- 11.26, N = 15 SE +/- 31.42, N = 12 SE +/- 2.08, N = 3 SE +/- 1.45, N = 3 SE +/- 1.15, N = 3 SE +/- 16.69, N = 15 517 529 420 482 484 475 533 321 262 337 234 563 296 347 260 333 530 516 518 410 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 Min: 515 / Avg: 517.33 / Max: 520 Min: 522 / Avg: 528.67 / Max: 535 Min: 282 / Avg: 419.87 / Max: 503 Min: 375 / Avg: 482.29 / Max: 512 Min: 474 / Avg: 483.67 / Max: 492 Min: 425 / Avg: 475.2 / Max: 515 Min: 311 / Avg: 321.4 / Max: 335 Min: 229 / Avg: 262.07 / Max: 326 Min: 318 / Avg: 337.47 / Max: 377 Min: 188 / Avg: 234.43 / Max: 384 Min: 556 / Avg: 562.67 / Max: 567 Min: 255 / Avg: 296.4 / Max: 351 Min: 238 / Avg: 346.93 / Max: 407 Min: 184 / Avg: 260.17 / Max: 519 Min: 329 / Avg: 333 / Max: 336 Min: 527 / Avg: 529.67 / Max: 532 Min: 516 / Avg: 518 / Max: 520 Min: 280 / Avg: 409.53 / Max: 524 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.01357, N = 3 SE +/- 0.01557, N = 3 SE +/- 0.00693, N = 3 SE +/- 0.21777, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.01027, N = 3 SE +/- 0.06961, N = 3 SE +/- 0.05268, N = 3 SE +/- 0.02604, N = 3 SE +/- 0.07227, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.16459, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.01739, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.02302, N = 3 SE +/- 0.06304, N = 3 SE +/- 0.04345, N = 3 SE +/- 0.03172, N = 3 SE +/- 0.01024, N = 3 17.24060 15.19950 17.34760 15.78500 17.59740 15.56040 15.41370 8.69542 16.55080 9.19335 15.11360 17.73280 17.69020 11.93780 15.12460 8.94634 8.54683 13.48800 8.10890 15.18680 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 17.21 / Avg: 17.24 / Max: 17.26 Min: 15.17 / Avg: 15.2 / Max: 15.23 Min: 17.34 / Avg: 17.35 / Max: 17.36 Min: 15.52 / Avg: 15.79 / Max: 16.22 Min: 17.57 / Avg: 17.6 / Max: 17.63 Min: 15.54 / Avg: 15.56 / Max: 15.58 Min: 15.28 / Avg: 15.41 / Max: 15.5 Min: 8.59 / Avg: 8.7 / Max: 8.75 Min: 16.51 / Avg: 16.55 / Max: 16.6 Min: 9.05 / Avg: 9.19 / Max: 9.27 Min: 15.1 / Avg: 15.11 / Max: 15.12 Min: 17.41 / Avg: 17.73 / Max: 17.96 Min: 17.54 / Avg: 17.69 / Max: 17.84 Min: 11.9 / Avg: 11.94 / Max: 11.96 Min: 15.1 / Avg: 15.12 / Max: 15.15 Min: 8.92 / Avg: 8.95 / Max: 8.99 Min: 8.43 / Avg: 8.55 / Max: 8.64 Min: 13.43 / Avg: 13.49 / Max: 13.57 Min: 8.07 / Avg: 8.11 / Max: 8.17 Min: 15.17 / Avg: 15.19 / Max: 15.2 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110 220 330 440 550 187.96 179.85 161.38 163.68 161.23 208.16 274.94 519.56 160.64 413.50 189.13 234.69 186.36 232.54 172.40 294.35 490.96 463.51 347.69 181.00
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K SE +/- 71.12, N = 3 SE +/- 884.91, N = 15 SE +/- 926.99, N = 15 SE +/- 754.39, N = 15 SE +/- 112.67, N = 3 SE +/- 624.60, N = 12 SE +/- 54.01, N = 3 SE +/- 900.70, N = 15 SE +/- 830.97, N = 15 SE +/- 316.68, N = 10 SE +/- 888.64, N = 15 SE +/- 57.19, N = 3 SE +/- 1.86, N = 3 SE +/- 379.71, N = 15 SE +/- 20.47, N = 3 SE +/- 878.51, N = 15 SE +/- 505.40, N = 15 SE +/- 78.47, N = 3 SE +/- 605.24, N = 15 SE +/- 535.38, N = 14 36296.45 31028.93 30957.09 34096.66 35410.82 35348.11 35997.33 33225.43 30290.94 35283.08 33375.87 36650.26 28516.07 34859.66 28648.25 31690.52 33796.07 35993.47 33289.76 29143.48 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K Min: 36205.85 / Avg: 36296.45 / Max: 36436.71 Min: 28488.68 / Avg: 31028.93 / Max: 36158.98 Min: 28467.39 / Avg: 30957.09 / Max: 36036.16 Min: 28489.67 / Avg: 34096.66 / Max: 36095.19 Min: 35267.72 / Avg: 35410.82 / Max: 35633.12 Min: 28486.35 / Avg: 35348.11 / Max: 36099.77 Min: 35901.3 / Avg: 35997.33 / Max: 36088.2 Min: 28424.7 / Avg: 33225.43 / Max: 35855.69 Min: 28386.9 / Avg: 30290.94 / Max: 35939.81 Min: 33173.71 / Avg: 35283.08 / Max: 36199.16 Min: 28511.86 / Avg: 33375.87 / Max: 36057.31 Min: 36536.09 / Avg: 36650.26 / Max: 36713.44 Min: 28514.02 / Avg: 28516.07 / Max: 28519.78 Min: 30696.8 / Avg: 34859.66 / Max: 35822.28 Min: 28608.01 / Avg: 28648.25 / Max: 28674.85 Min: 28467.99 / Avg: 31690.52 / Max: 36046.92 Min: 29768.36 / Avg: 33796.07 / Max: 35632.71 Min: 35840.78 / Avg: 35993.47 / Max: 36101.24 Min: 28386 / Avg: 33289.76 / Max: 35700.74 Min: 28548.66 / Avg: 29143.48 / Max: 36102.48 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.50, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.30, N = 3 SE +/- 0.21, N = 3 142.29 177.15 235.71 233.99 210.42 164.12 152.56 142.11 209.73 118.05 178.14 131.90 184.93 172.65 173.90 154.16 145.16 136.25 150.37 177.12 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 142.2 / Avg: 142.29 / Max: 142.43 Min: 176.81 / Avg: 177.15 / Max: 177.32 Min: 235.48 / Avg: 235.71 / Max: 235.99 Min: 233.79 / Avg: 233.98 / Max: 234.09 Min: 209.97 / Avg: 210.42 / Max: 210.89 Min: 163.95 / Avg: 164.12 / Max: 164.42 Min: 152.43 / Avg: 152.56 / Max: 152.67 Min: 141.91 / Avg: 142.11 / Max: 142.32 Min: 209.23 / Avg: 209.73 / Max: 210.73 Min: 117.99 / Avg: 118.05 / Max: 118.14 Min: 177.99 / Avg: 178.14 / Max: 178.35 Min: 131.83 / Avg: 131.9 / Max: 132 Min: 184.68 / Avg: 184.93 / Max: 185.07 Min: 172.5 / Avg: 172.65 / Max: 172.96 Min: 173.55 / Avg: 173.9 / Max: 174.18 Min: 153.9 / Avg: 154.16 / Max: 154.39 Min: 144.94 / Avg: 145.16 / Max: 145.27 Min: 135.91 / Avg: 136.25 / Max: 136.57 Min: 150.06 / Avg: 150.37 / Max: 150.97 Min: 176.76 / Avg: 177.12 / Max: 177.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 SE +/- 4.09, N = 5 SE +/- 8.93, N = 5 SE +/- 10.78, N = 5 SE +/- 7.96, N = 5 SE +/- 6.49, N = 5 SE +/- 5.82, N = 5 SE +/- 2.12, N = 5 SE +/- 4.09, N = 5 SE +/- 6.15, N = 5 SE +/- 5.86, N = 5 SE +/- 9.80, N = 5 SE +/- 3.83, N = 5 SE +/- 11.71, N = 5 SE +/- 4.60, N = 5 SE +/- 6.83, N = 5 SE +/- 7.02, N = 5 SE +/- 9.93, N = 5 SE +/- 7.90, N = 5 SE +/- 7.81, N = 5 SE +/- 8.18, N = 5 1643.61 1786.25 1837.63 1821.92 1838.71 1780.00 1802.11 1963.09 1827.54 1575.17 1785.43 1598.01 1843.43 1887.64 1762.01 1840.49 1888.05 1778.59 1858.15 1796.32
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1636.18 / Avg: 1643.61 / Max: 1658.12 Min: 1767.26 / Avg: 1786.25 / Max: 1808.33 Min: 1806.07 / Avg: 1837.63 / Max: 1863.6 Min: 1806.27 / Avg: 1821.92 / Max: 1850.88 Min: 1823.01 / Avg: 1838.71 / Max: 1861.54 Min: 1771.68 / Avg: 1780 / Max: 1802.96 Min: 1794.77 / Avg: 1802.11 / Max: 1807.79 Min: 1949.67 / Avg: 1963.09 / Max: 1972.52 Min: 1810.41 / Avg: 1827.54 / Max: 1846.46 Min: 1556.35 / Avg: 1575.17 / Max: 1589.78 Min: 1761.02 / Avg: 1785.43 / Max: 1812.16 Min: 1590.06 / Avg: 1598.01 / Max: 1608.27 Min: 1814.21 / Avg: 1843.43 / Max: 1871.61 Min: 1875.72 / Avg: 1887.64 / Max: 1899.29 Min: 1750.8 / Avg: 1762.01 / Max: 1788.05 Min: 1821.78 / Avg: 1840.49 / Max: 1861.9 Min: 1872.26 / Avg: 1888.05 / Max: 1924.57 Min: 1763.98 / Avg: 1778.58 / Max: 1801.84 Min: 1843.06 / Avg: 1858.15 / Max: 1881.85 Min: 1777.39 / Avg: 1796.32 / Max: 1818.83
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40M 80M 120M 160M 200M SE +/- 214890.39, N = 3 SE +/- 1040006.53, N = 15 SE +/- 2049696.22, N = 15 SE +/- 1899653.41, N = 15 SE +/- 2240110.26, N = 5 SE +/- 860434.27, N = 15 SE +/- 134953.06, N = 3 SE +/- 227455.75, N = 3 SE +/- 1559101.58, N = 15 SE +/- 621658.12, N = 3 SE +/- 1122561.19, N = 15 SE +/- 1093756.73, N = 4 SE +/- 358368.47, N = 3 SE +/- 733157.90, N = 15 SE +/- 526030.10, N = 3 SE +/- 781709.19, N = 5 SE +/- 326575.75, N = 3 SE +/- 573712.98, N = 3 SE +/- 402653.87, N = 15 SE +/- 1276317.53, N = 7 118182176 120922766 192210231 192725013 167150946 98307816 68867484 33751178 163000355 40658633 108651965 80061560 119286292 84742534 133751245 63230724 33393407 35301607 49276720 121673641 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30M 60M 90M 120M 150M Min: 117754545 / Avg: 118182175.67 / Max: 118433175 Min: 113942640 / Avg: 120922766.13 / Max: 124587119 Min: 183285104 / Avg: 192210230.73 / Max: 202087778 Min: 184745570 / Avg: 192725013.2 / Max: 201658187 Min: 158235179 / Avg: 167150946.2 / Max: 170160556 Min: 93719478 / Avg: 98307816.2 / Max: 102407832 Min: 68715282 / Avg: 68867484 / Max: 69136621 Min: 33435197 / Avg: 33751178.33 / Max: 34192586 Min: 155397851 / Avg: 163000355.4 / Max: 170264486 Min: 39547827 / Avg: 40658633.33 / Max: 41697729 Min: 103874336 / Avg: 108651964.8 / Max: 114145821 Min: 77755597 / Avg: 80061560.25 / Max: 82403261 Min: 118570199 / Avg: 119286292.33 / Max: 119670638 Min: 80711238 / Avg: 84742534.27 / Max: 87776559 Min: 132715309 / Avg: 133751244.67 / Max: 134428118 Min: 60131659 / Avg: 63230724 / Max: 64253059 Min: 32741134 / Avg: 33393407 / Max: 33748871 Min: 34154208 / Avg: 35301607 / Max: 35882118 Min: 47356643 / Avg: 49276720.13 / Max: 51259025 Min: 114249697 / Avg: 121673641.14 / Max: 124512407 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50K 100K 150K 200K 250K SE +/- 1497.72, N = 13 SE +/- 2680.04, N = 3 SE +/- 2053.52, N = 10 SE +/- 1719.61, N = 3 SE +/- 1820.08, N = 15 SE +/- 2252.44, N = 3 SE +/- 1172.51, N = 3 SE +/- 135.06, N = 3 SE +/- 2783.17, N = 4 SE +/- 364.13, N = 3 SE +/- 2362.56, N = 6 SE +/- 970.11, N = 3 SE +/- 2557.41, N = 15 SE +/- 2165.41, N = 5 SE +/- 2505.69, N = 15 SE +/- 1109.12, N = 3 SE +/- 180.35, N = 3 SE +/- 218.45, N = 3 SE +/- 674.43, N = 3 SE +/- 956.08, N = 3 184455 205457 218480 218854 196720 180592 112020 40445 203081 49086 199364 127262 193790 162681 211140 122041 41662 43203 76751 214486
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K Min: 177996 / Avg: 184455 / Max: 191651 Min: 202352 / Avg: 205456.67 / Max: 210793 Min: 207486 / Avg: 218480.4 / Max: 225818 Min: 215677 / Avg: 218854.33 / Max: 221583 Min: 189102 / Avg: 196719.53 / Max: 208592 Min: 176111 / Avg: 180591.67 / Max: 183236 Min: 109894 / Avg: 112020 / Max: 113940 Min: 40189 / Avg: 40444.67 / Max: 40648 Min: 198780 / Avg: 203080.5 / Max: 211125 Min: 48473 / Avg: 49086 / Max: 49733 Min: 190358 / Avg: 199364 / Max: 208384 Min: 126002 / Avg: 127262.33 / Max: 129170 Min: 176360 / Avg: 193789.73 / Max: 202817 Min: 155800 / Avg: 162680.8 / Max: 166977 Min: 196521 / Avg: 211139.8 / Max: 221898 Min: 120158 / Avg: 122041.33 / Max: 123998 Min: 41364 / Avg: 41662 / Max: 41987 Min: 42953 / Avg: 43202.67 / Max: 43638 Min: 75429 / Avg: 76751.33 / Max: 77643 Min: 212577 / Avg: 214486.33 / Max: 215531
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.116 2.232 3.348 4.464 5.58 SE +/- 0.00, N = 3 SE +/- 0.00, N = 7 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 +/- 0.00, 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 = 6 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 2.61 3.01 4.96 4.84 4.17 2.43 1.64 0.76 4.14 0.92 2.80 1.86 2.90 2.13 3.20 1.57 0.79 0.85 1.18 3.02
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.6 / Avg: 2.61 / Max: 2.61 Min: 3.01 / Avg: 3.01 / Max: 3.02 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: 2.43 / Avg: 2.43 / Max: 2.43 Min: 1.63 / Avg: 1.64 / Max: 1.64 Min: 0.76 / Avg: 0.76 / Max: 0.76 Min: 4.13 / Avg: 4.14 / Max: 4.15 Min: 0.92 / Avg: 0.92 / Max: 0.92 Min: 2.79 / Avg: 2.8 / Max: 2.8 Min: 1.86 / Avg: 1.86 / Max: 1.86 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.12 / Avg: 2.13 / Max: 2.13 Min: 3.19 / Avg: 3.2 / Max: 3.21 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 0.85 / Avg: 0.85 / Max: 0.86 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 3.01 / Avg: 3.02 / Max: 3.02
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 SE +/- 0.40, N = 15 SE +/- 0.25, N = 3 SE +/- 0.21, N = 15 SE +/- 0.37, N = 3 SE +/- 0.23, N = 15 SE +/- 0.34, N = 3 SE +/- 0.21, N = 3 SE +/- 0.49, N = 3 SE +/- 0.61, N = 12 SE +/- 0.11, N = 3 SE +/- 0.66, N = 4 SE +/- 0.37, N = 4 SE +/- 2.20, N = 12 SE +/- 0.13, N = 3 SE +/- 0.48, N = 15 SE +/- 0.80, N = 15 SE +/- 0.32, N = 3 SE +/- 0.69, N = 15 SE +/- 0.30, N = 3 SE +/- 0.54, N = 15 27.32 21.95 20.11 21.59 18.97 29.56 34.28 66.89 23.30 54.81 45.83 27.95 30.87 35.70 26.85 50.11 66.44 62.73 51.78 27.09 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 Min: 23.37 / Avg: 27.32 / Max: 28.84 Min: 21.63 / Avg: 21.95 / Max: 22.43 Min: 18.88 / Avg: 20.11 / Max: 21.3 Min: 20.85 / Avg: 21.59 / Max: 21.96 Min: 17.81 / Avg: 18.97 / Max: 20.22 Min: 29.08 / Avg: 29.56 / Max: 30.22 Min: 33.87 / Avg: 34.28 / Max: 34.57 Min: 66.25 / Avg: 66.89 / Max: 67.85 Min: 20.54 / Avg: 23.3 / Max: 27.57 Min: 54.67 / Avg: 54.81 / Max: 55.02 Min: 43.96 / Avg: 45.83 / Max: 47.03 Min: 27.11 / Avg: 27.95 / Max: 28.77 Min: 22.93 / Avg: 30.87 / Max: 52.08 Min: 35.47 / Avg: 35.7 / Max: 35.93 Min: 24.74 / Avg: 26.85 / Max: 30.62 Min: 44.96 / Avg: 50.11 / Max: 56.21 Min: 66.1 / Avg: 66.44 / Max: 67.07 Min: 58.95 / Avg: 62.73 / Max: 67.52 Min: 51.46 / Avg: 51.78 / Max: 52.37 Min: 24.2 / Avg: 27.09 / Max: 31.21 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 SE +/- 39.71, N = 4 SE +/- 63.41, N = 4 SE +/- 25.70, N = 4 SE +/- 42.50, N = 4 SE +/- 32.48, N = 4 SE +/- 38.80, N = 4 SE +/- 25.86, N = 4 SE +/- 33.61, N = 4 SE +/- 57.02, N = 4 SE +/- 18.54, N = 4 SE +/- 44.81, N = 4 SE +/- 24.42, N = 4 SE +/- 59.76, N = 4 SE +/- 38.40, N = 4 SE +/- 34.26, N = 4 SE +/- 18.17, N = 4 SE +/- 57.45, N = 6 SE +/- 23.84, N = 4 SE +/- 41.98, N = 4 SE +/- 29.29, N = 4 3535 4385 4968 4921 4747 4203 4277 5414 4689 4485 4460 3796 4609 4466 4269 4190 4976 4965 4334 4365
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900 1800 2700 3600 4500 Min: 3451 / Avg: 3534.75 / Max: 3614 Min: 4213 / Avg: 4385.25 / Max: 4514 Min: 4901 / Avg: 4967.75 / Max: 5022 Min: 4832 / Avg: 4920.5 / Max: 5010 Min: 4657 / Avg: 4746.75 / Max: 4812 Min: 4087 / Avg: 4202.5 / Max: 4251 Min: 4206 / Avg: 4276.75 / Max: 4326 Min: 5331 / Avg: 5413.5 / Max: 5479 Min: 4535 / Avg: 4689 / Max: 4810 Min: 4445 / Avg: 4484.75 / Max: 4522 Min: 4327 / Avg: 4460.25 / Max: 4515 Min: 3752 / Avg: 3795.5 / Max: 3862 Min: 4497 / Avg: 4609 / Max: 4752 Min: 4397 / Avg: 4466 / Max: 4553 Min: 4173 / Avg: 4268.5 / Max: 4334 Min: 4150 / Avg: 4190.25 / Max: 4221 Min: 4811 / Avg: 4975.5 / Max: 5170 Min: 4897 / Avg: 4964.5 / Max: 5008 Min: 4270 / Avg: 4334.25 / Max: 4456 Min: 4311 / Avg: 4364.75 / Max: 4444
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.37, N = 3 SE +/- 0.75, N = 3 SE +/- 0.29, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.53, N = 4 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.23, N = 10 SE +/- 0.32, N = 3 SE +/- 0.20, N = 15 SE +/- 0.15, N = 8 SE +/- 0.09, N = 3 SE +/- 0.19, N = 15 SE +/- 0.38, N = 3 SE +/- 0.32, N = 3 SE +/- 5.01, N = 12 33.02 32.15 37.22 57.12 36.67 31.68 34.03 37.85 35.05 33.66 32.44 31.41 34.50 37.06 31.97 31.53 37.01 36.84 35.19 41.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 Min: 32.49 / Avg: 33.02 / Max: 33.31 Min: 32.01 / Avg: 32.15 / Max: 32.34 Min: 36.6 / Avg: 37.22 / Max: 37.87 Min: 55.66 / Avg: 57.12 / Max: 58.17 Min: 36.2 / Avg: 36.67 / Max: 37.21 Min: 31.55 / Avg: 31.68 / Max: 31.91 Min: 33.75 / Avg: 34.03 / Max: 34.41 Min: 36.65 / Avg: 37.85 / Max: 39.21 Min: 34.79 / Avg: 35.05 / Max: 35.29 Min: 33.55 / Avg: 33.66 / Max: 33.77 Min: 32.35 / Avg: 32.44 / Max: 32.6 Min: 29.4 / Avg: 31.41 / Max: 31.94 Min: 33.95 / Avg: 34.5 / Max: 35.06 Min: 35.91 / Avg: 37.06 / Max: 38.58 Min: 31.22 / Avg: 31.97 / Max: 32.54 Min: 31.37 / Avg: 31.53 / Max: 31.69 Min: 35.8 / Avg: 37.01 / Max: 38.44 Min: 36.08 / Avg: 36.84 / Max: 37.28 Min: 34.57 / Avg: 35.19 / Max: 35.66 Min: 31.9 / Avg: 41.55 / Max: 81.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.55, N = 3 SE +/- 0.12, N = 3 SE +/- 1.80, N = 3 SE +/- 0.81, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 SE +/- 0.31, N = 4 SE +/- 0.29, N = 3 SE +/- 0.13, N = 3 SE +/- 0.53, N = 3 SE +/- 0.52, N = 10 SE +/- 0.28, N = 3 SE +/- 0.17, N = 15 SE +/- 0.10, N = 8 SE +/- 0.08, N = 3 SE +/- 0.16, N = 15 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.95, N = 12 25.70 25.36 37.02 52.99 34.32 23.60 25.88 34.16 31.33 27.85 26.10 25.74 28.82 29.84 24.57 24.85 33.75 31.33 32.87 27.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 Min: 25.5 / Avg: 25.7 / Max: 25.94 Min: 24.66 / Avg: 25.36 / Max: 26.45 Min: 36.81 / Avg: 37.02 / Max: 37.23 Min: 49.43 / Avg: 52.99 / Max: 55.17 Min: 32.7 / Avg: 34.32 / Max: 35.25 Min: 23.25 / Avg: 23.6 / Max: 24.11 Min: 25.71 / Avg: 25.88 / Max: 26.01 Min: 33.29 / Avg: 34.16 / Max: 34.69 Min: 30.82 / Avg: 31.33 / Max: 31.84 Min: 27.64 / Avg: 27.85 / Max: 28.08 Min: 25.55 / Avg: 26.1 / Max: 27.16 Min: 21.71 / Avg: 25.74 / Max: 27.13 Min: 28.28 / Avg: 28.82 / Max: 29.2 Min: 28.32 / Avg: 29.84 / Max: 30.59 Min: 24.2 / Avg: 24.57 / Max: 25.09 Min: 24.71 / Avg: 24.85 / Max: 24.98 Min: 32.78 / Avg: 33.75 / Max: 34.88 Min: 30.76 / Avg: 31.33 / Max: 31.64 Min: 32.76 / Avg: 32.87 / Max: 33.04 Min: 24.74 / Avg: 27.71 / Max: 33.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.33, N = 3 SE +/- 0.13, N = 3 SE +/- 0.61, N = 3 SE +/- 0.63, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.23, N = 3 SE +/- 0.16, N = 4 SE +/- 0.32, N = 3 SE +/- 0.40, N = 2 SE +/- 0.09, N = 3 SE +/- 0.28, N = 10 SE +/- 0.37, N = 3 SE +/- 0.20, N = 15 SE +/- 0.12, N = 8 SE +/- 0.04, N = 3 SE +/- 0.06, N = 15 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.40, N = 12 10.52 9.95 11.21 18.51 11.59 10.04 11.32 12.85 11.31 10.44 10.84 9.86 11.07 12.96 10.85 10.94 12.66 11.03 12.75 11.70 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 9.92 / Avg: 10.52 / Max: 11.06 Min: 9.82 / Avg: 9.95 / Max: 10.2 Min: 10.53 / Avg: 11.21 / Max: 12.43 Min: 17.78 / Avg: 18.51 / Max: 19.77 Min: 11.35 / Avg: 11.59 / Max: 11.95 Min: 9.96 / Avg: 10.04 / Max: 10.13 Min: 10.87 / Avg: 11.32 / Max: 11.66 Min: 12.47 / Avg: 12.85 / Max: 13.25 Min: 10.87 / Avg: 11.31 / Max: 11.93 Min: 10.04 / Avg: 10.44 / Max: 10.83 Min: 10.75 / Avg: 10.84 / Max: 11.02 Min: 8.01 / Avg: 9.86 / Max: 11.13 Min: 10.66 / Avg: 11.07 / Max: 11.81 Min: 11.74 / Avg: 12.96 / Max: 14.52 Min: 10.47 / Avg: 10.85 / Max: 11.37 Min: 10.89 / Avg: 10.94 / Max: 11.03 Min: 12.41 / Avg: 12.66 / Max: 13.1 Min: 10.74 / Avg: 11.03 / Max: 11.2 Min: 12.32 / Avg: 12.75 / Max: 13.12 Min: 10.19 / Avg: 11.7 / Max: 14.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.28, N = 3 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.55, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 4 SE +/- 0.08, N = 3 SE +/- 0.34, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 10 SE +/- 0.45, N = 3 SE +/- 0.13, N = 15 SE +/- 0.07, N = 8 SE +/- 0.09, N = 3 SE +/- 1.89, N = 15 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.45, N = 12 14.69 14.18 17.01 25.93 17.33 13.72 15.20 17.52 16.02 15.19 15.11 13.40 16.09 17.89 14.73 14.40 19.41 16.15 17.65 15.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 14.13 / Avg: 14.69 / Max: 14.97 Min: 13.84 / Avg: 14.18 / Max: 14.56 Min: 16.41 / Avg: 17.01 / Max: 17.77 Min: 24.86 / Avg: 25.93 / Max: 26.68 Min: 16.94 / Avg: 17.33 / Max: 17.63 Min: 13.53 / Avg: 13.72 / Max: 14.03 Min: 15.11 / Avg: 15.2 / Max: 15.28 Min: 17.32 / Avg: 17.52 / Max: 17.67 Min: 15.93 / Avg: 16.02 / Max: 16.19 Min: 14.59 / Avg: 15.19 / Max: 15.77 Min: 14.83 / Avg: 15.11 / Max: 15.36 Min: 11.54 / Avg: 13.4 / Max: 14.2 Min: 15.41 / Avg: 16.09 / Max: 16.94 Min: 17.07 / Avg: 17.89 / Max: 18.64 Min: 14.45 / Avg: 14.73 / Max: 15.08 Min: 14.27 / Avg: 14.4 / Max: 14.57 Min: 16.74 / Avg: 19.41 / Max: 45.87 Min: 16.02 / Avg: 16.15 / Max: 16.32 Min: 17.2 / Avg: 17.65 / Max: 18.09 Min: 14.25 / Avg: 15.76 / Max: 18.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 SE +/- 0.32, N = 3 SE +/- 0.76, N = 3 SE +/- 0.54, N = 3 SE +/- 0.41, N = 3 SE +/- 0.41, N = 3 SE +/- 0.31, N = 3 SE +/- 0.87, N = 3 SE +/- 0.19, N = 4 SE +/- 0.17, N = 3 SE +/- 0.35, N = 3 SE +/- 0.84, N = 3 SE +/- 0.68, N = 10 SE +/- 0.72, N = 3 SE +/- 0.31, N = 15 SE +/- 0.15, N = 8 SE +/- 0.34, N = 3 SE +/- 0.25, N = 15 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 1.29, N = 12 36.97 33.03 43.92 63.71 43.46 32.49 37.89 50.01 39.93 40.01 33.55 37.18 38.80 41.99 32.64 39.31 49.39 43.06 49.36 36.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 Min: 36.47 / Avg: 36.97 / Max: 37.57 Min: 32.11 / Avg: 33.03 / Max: 34.53 Min: 43.08 / Avg: 43.92 / Max: 44.93 Min: 63.27 / Avg: 63.71 / Max: 64.54 Min: 42.79 / Avg: 43.46 / Max: 44.19 Min: 32.12 / Avg: 32.49 / Max: 33.11 Min: 36.71 / Avg: 37.89 / Max: 39.58 Min: 49.52 / Avg: 50.01 / Max: 50.37 Min: 39.66 / Avg: 39.93 / Max: 40.24 Min: 39.57 / Avg: 40.01 / Max: 40.7 Min: 32.39 / Avg: 33.55 / Max: 35.17 Min: 31.85 / Avg: 37.18 / Max: 39.52 Min: 37.36 / Avg: 38.8 / Max: 39.61 Min: 39.76 / Avg: 41.99 / Max: 43.74 Min: 32.07 / Avg: 32.64 / Max: 33.38 Min: 38.86 / Avg: 39.31 / Max: 39.99 Min: 47.72 / Avg: 49.39 / Max: 51.72 Min: 42.85 / Avg: 43.06 / Max: 43.39 Min: 48.98 / Avg: 49.36 / Max: 49.63 Min: 32.24 / Avg: 36.74 / Max: 43.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 SE +/- 0.07, N = 3 SE +/- 0.29, N = 3 SE +/- 0.84, N = 3 SE +/- 0.62, N = 3 SE +/- 0.40, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.19, N = 4 SE +/- 0.37, N = 3 SE +/- 0.30, N = 3 SE +/- 0.32, N = 3 SE +/- 0.18, N = 10 SE +/- 0.93, N = 3 SE +/- 0.32, N = 15 SE +/- 0.23, N = 8 SE +/- 0.14, N = 3 SE +/- 0.15, N = 15 SE +/- 0.35, N = 3 SE +/- 0.21, N = 3 SE +/- 0.84, N = 12 21.73 22.04 31.74 44.29 27.78 20.50 22.01 23.35 25.88 20.29 22.38 20.04 24.85 26.52 22.30 19.24 22.73 22.35 21.86 24.30 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 21.64 / Avg: 21.73 / Max: 21.86 Min: 21.47 / Avg: 22.04 / Max: 22.39 Min: 30.65 / Avg: 31.74 / Max: 33.39 Min: 43.47 / Avg: 44.29 / Max: 45.5 Min: 27.05 / Avg: 27.78 / Max: 28.44 Min: 20.47 / Avg: 20.5 / Max: 20.55 Min: 21.51 / Avg: 22.01 / Max: 22.31 Min: 22.8 / Avg: 23.35 / Max: 23.65 Min: 25.16 / Avg: 25.88 / Max: 26.41 Min: 19.96 / Avg: 20.29 / Max: 20.89 Min: 22.05 / Avg: 22.38 / Max: 23.01 Min: 18.68 / Avg: 20.04 / Max: 20.7 Min: 23.42 / Avg: 24.85 / Max: 26.6 Min: 24.47 / Avg: 26.52 / Max: 28.49 Min: 21.14 / Avg: 22.3 / Max: 23.26 Min: 19.1 / Avg: 19.24 / Max: 19.52 Min: 21.95 / Avg: 22.73 / Max: 23.78 Min: 21.78 / Avg: 22.35 / Max: 23 Min: 21.52 / Avg: 21.86 / Max: 22.24 Min: 21.5 / Avg: 24.3 / Max: 29.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.34, N = 3 SE +/- 0.47, N = 3 SE +/- 0.31, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 SE +/- 0.42, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 10 SE +/- 0.17, N = 3 SE +/- 0.03, N = 15 SE +/- 0.01, N = 8 SE +/- 0.02, N = 3 SE +/- 0.13, N = 15 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 12 4.12 4.32 7.84 9.78 6.43 3.66 3.67 3.20 6.33 2.96 4.23 3.65 5.02 4.31 4.07 3.12 3.30 3.19 3.35 4.30 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 4.04 / Avg: 4.12 / Max: 4.26 Min: 4.05 / Avg: 4.32 / Max: 4.63 Min: 7.38 / Avg: 7.84 / Max: 8.51 Min: 8.84 / Avg: 9.78 / Max: 10.35 Min: 5.83 / Avg: 6.43 / Max: 6.88 Min: 3.64 / Avg: 3.66 / Max: 3.7 Min: 3.63 / Avg: 3.67 / Max: 3.69 Min: 3.1 / Avg: 3.2 / Max: 3.26 Min: 5.76 / Avg: 6.33 / Max: 7.16 Min: 2.93 / Avg: 2.96 / Max: 3.01 Min: 4.14 / Avg: 4.23 / Max: 4.39 Min: 3.46 / Avg: 3.65 / Max: 3.97 Min: 4.8 / Avg: 5.02 / Max: 5.35 Min: 4.19 / Avg: 4.31 / Max: 4.63 Min: 4.04 / Avg: 4.07 / Max: 4.1 Min: 3.1 / Avg: 3.12 / Max: 3.15 Min: 3.04 / Avg: 3.3 / Max: 5.02 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.25 / Avg: 3.35 / Max: 3.41 Min: 4.06 / Avg: 4.3 / Max: 4.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.53, N = 3 SE +/- 1.57, N = 3 SE +/- 1.87, N = 3 SE +/- 0.32, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 4 SE +/- 1.64, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 10 SE +/- 0.41, N = 3 SE +/- 0.10, N = 15 SE +/- 0.13, N = 8 SE +/- 0.06, N = 3 SE +/- 0.11, N = 15 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.25, N = 12 11.88 12.96 25.61 31.36 19.15 10.67 11.06 12.46 19.71 10.32 12.62 11.13 15.71 13.17 12.12 9.20 11.81 11.02 11.30 13.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 11.74 / Avg: 11.88 / Max: 12.02 Min: 11.95 / Avg: 12.96 / Max: 13.73 Min: 23.45 / Avg: 25.61 / Max: 28.65 Min: 28.68 / Avg: 31.36 / Max: 34.96 Min: 18.51 / Avg: 19.15 / Max: 19.55 Min: 10.65 / Avg: 10.67 / Max: 10.72 Min: 10.85 / Avg: 11.06 / Max: 11.34 Min: 12.33 / Avg: 12.46 / Max: 12.67 Min: 17.57 / Avg: 19.71 / Max: 22.93 Min: 10.15 / Avg: 10.32 / Max: 10.58 Min: 12.23 / Avg: 12.62 / Max: 13.31 Min: 10.85 / Avg: 11.13 / Max: 11.43 Min: 15.22 / Avg: 15.71 / Max: 16.53 Min: 12.46 / Avg: 13.17 / Max: 13.76 Min: 11.88 / Avg: 12.12 / Max: 12.99 Min: 9.12 / Avg: 9.2 / Max: 9.32 Min: 11.3 / Avg: 11.81 / Max: 12.57 Min: 10.9 / Avg: 11.02 / Max: 11.16 Min: 11.05 / Avg: 11.3 / Max: 11.55 Min: 11.97 / Avg: 13.03 / Max: 14.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.15, N = 3 SE +/- 0.32, N = 2 SE +/- 2.95, N = 3 SE +/- 1.69, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 4 SE +/- 1.60, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 10 SE +/- 0.46, N = 3 SE +/- 0.10, N = 15 SE +/- 0.17, N = 8 SE +/- 0.06, N = 3 SE +/- 0.10, N = 15 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 12 9.32 9.35 21.46 26.02 15.02 8.13 8.10 8.49 17.06 7.30 9.41 8.49 11.63 9.83 9.34 6.84 8.10 7.81 7.71 9.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 9.12 / Avg: 9.32 / Max: 9.62 Min: 9.03 / Avg: 9.35 / Max: 9.66 Min: 17.43 / Avg: 21.46 / Max: 27.22 Min: 22.65 / Avg: 26.02 / Max: 27.89 Min: 14.65 / Avg: 15.02 / Max: 15.34 Min: 8.03 / Avg: 8.13 / Max: 8.25 Min: 7.62 / Avg: 8.1 / Max: 8.48 Min: 8.4 / Avg: 8.49 / Max: 8.54 Min: 14.96 / Avg: 17.06 / Max: 20.19 Min: 7.08 / Avg: 7.3 / Max: 7.55 Min: 9.22 / Avg: 9.41 / Max: 9.71 Min: 8.21 / Avg: 8.49 / Max: 8.76 Min: 11.07 / Avg: 11.63 / Max: 12.54 Min: 9.41 / Avg: 9.83 / Max: 10.84 Min: 8.9 / Avg: 9.34 / Max: 10.14 Min: 6.76 / Avg: 6.84 / Max: 6.95 Min: 7.49 / Avg: 8.1 / Max: 8.71 Min: 7.63 / Avg: 7.81 / Max: 7.92 Min: 7.5 / Avg: 7.71 / Max: 7.87 Min: 9.11 / Avg: 9.98 / Max: 10.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.91, N = 3 SE +/- 1.73, N = 3 SE +/- 2.54, N = 3 SE +/- 0.92, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 4 SE +/- 0.98, N = 3 SE +/- 0.01, N = 2 SE +/- 0.17, N = 3 SE +/- 0.18, N = 10 SE +/- 0.97, N = 3 SE +/- 0.10, N = 15 SE +/- 0.13, N = 8 SE +/- 0.03, N = 3 SE +/- 0.06, N = 15 SE +/- 0.10, N = 3 SE +/- 0.30, N = 2 SE +/- 0.18, N = 12 9.92 10.96 21.77 25.16 16.83 9.09 9.14 8.36 18.38 7.76 10.28 9.53 14.43 10.84 10.48 8.03 8.16 8.60 8.60 11.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 9.88 / Avg: 9.92 / Max: 9.95 Min: 9.99 / Avg: 10.96 / Max: 12.79 Min: 19.2 / Avg: 21.77 / Max: 25.06 Min: 21.38 / Avg: 25.16 / Max: 30 Min: 15.43 / Avg: 16.83 / Max: 18.57 Min: 8.92 / Avg: 9.09 / Max: 9.27 Min: 9.03 / Avg: 9.14 / Max: 9.27 Min: 7.94 / Avg: 8.36 / Max: 8.69 Min: 16.55 / Avg: 18.38 / Max: 19.89 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 9.94 / Avg: 10.28 / Max: 10.48 Min: 8.94 / Avg: 9.53 / Max: 10.51 Min: 12.87 / Avg: 14.43 / Max: 16.2 Min: 10.18 / Avg: 10.84 / Max: 11.53 Min: 9.97 / Avg: 10.48 / Max: 11.14 Min: 7.98 / Avg: 8.03 / Max: 8.07 Min: 7.92 / Avg: 8.16 / Max: 8.77 Min: 8.43 / Avg: 8.6 / Max: 8.76 Min: 8.3 / Avg: 8.6 / Max: 8.89 Min: 10.02 / Avg: 11.15 / Max: 11.93 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.65, N = 3 SE +/- 2.05, N = 3 SE +/- 1.63, N = 3 SE +/- 0.33, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 4 SE +/- 1.62, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 10 SE +/- 0.36, N = 3 SE +/- 0.07, N = 15 SE +/- 0.12, N = 8 SE +/- 0.07, N = 3 SE +/- 0.08, N = 15 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.19, N = 12 9.41 10.49 21.05 27.15 15.40 8.47 8.63 8.97 15.95 7.42 9.98 8.90 12.08 10.21 9.81 7.49 8.18 7.99 8.19 10.55 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 9.38 / Avg: 9.41 / Max: 9.44 Min: 9.56 / Avg: 10.49 / Max: 11.73 Min: 18.92 / Avg: 21.05 / Max: 25.14 Min: 24.31 / Avg: 27.15 / Max: 29.96 Min: 14.75 / Avg: 15.4 / Max: 15.81 Min: 8.35 / Avg: 8.47 / Max: 8.59 Min: 8.59 / Avg: 8.63 / Max: 8.7 Min: 8.58 / Avg: 8.97 / Max: 9.25 Min: 13.9 / Avg: 15.95 / Max: 19.15 Min: 7.29 / Avg: 7.42 / Max: 7.6 Min: 9.84 / Avg: 9.98 / Max: 10.1 Min: 8.5 / Avg: 8.9 / Max: 9.63 Min: 11.64 / Avg: 12.08 / Max: 12.79 Min: 9.69 / Avg: 10.21 / Max: 10.69 Min: 9.46 / Avg: 9.81 / Max: 10.52 Min: 7.39 / Avg: 7.49 / Max: 7.62 Min: 7.84 / Avg: 8.18 / Max: 8.92 Min: 7.96 / Avg: 7.99 / Max: 8.03 Min: 8.03 / Avg: 8.19 / Max: 8.44 Min: 9.71 / Avg: 10.55 / Max: 11.45 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.21, N = 3 SE +/- 0.49, N = 3 SE +/- 3.02, N = 3 SE +/- 1.38, N = 3 SE +/- 0.63, N = 3 SE +/- 0.26, N = 3 SE +/- 0.29, N = 3 SE +/- 0.09, N = 4 SE +/- 1.97, N = 3 SE +/- 0.36, N = 3 SE +/- 0.02, N = 3 SE +/- 3.21, N = 10 SE +/- 0.33, N = 3 SE +/- 0.11, N = 15 SE +/- 0.11, N = 8 SE +/- 0.08, N = 3 SE +/- 0.09, N = 15 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.19, N = 12 9.96 10.75 22.90 26.55 16.18 9.01 9.12 9.32 16.41 8.29 10.31 12.40 12.63 10.64 10.07 7.77 8.96 9.07 8.66 10.61 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 9.67 / Avg: 9.96 / Max: 10.38 Min: 9.87 / Avg: 10.75 / Max: 11.57 Min: 18.49 / Avg: 22.9 / Max: 28.67 Min: 24.45 / Avg: 26.55 / Max: 29.15 Min: 15.13 / Avg: 16.18 / Max: 17.32 Min: 8.53 / Avg: 9.01 / Max: 9.42 Min: 8.6 / Avg: 9.12 / Max: 9.61 Min: 9.17 / Avg: 9.32 / Max: 9.52 Min: 14.24 / Avg: 16.41 / Max: 20.35 Min: 7.87 / Avg: 8.29 / Max: 9 Min: 10.28 / Avg: 10.31 / Max: 10.33 Min: 8.85 / Avg: 12.4 / Max: 41.24 Min: 12.01 / Avg: 12.63 / Max: 13.15 Min: 10.08 / Avg: 10.64 / Max: 11.35 Min: 9.82 / Avg: 10.07 / Max: 10.75 Min: 7.68 / Avg: 7.77 / Max: 7.94 Min: 8.64 / Avg: 8.96 / Max: 9.88 Min: 8.9 / Avg: 9.07 / Max: 9.37 Min: 8.51 / Avg: 8.66 / Max: 8.91 Min: 9.95 / Avg: 10.61 / Max: 11.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 SE +/- 0.53, N = 3 SE +/- 0.78, N = 3 SE +/- 2.32, N = 3 SE +/- 1.51, N = 3 SE +/- 0.34, N = 3 SE +/- 0.04, N = 3 SE +/- 0.36, N = 3 SE +/- 0.13, N = 4 SE +/- 0.52, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.26, N = 10 SE +/- 0.41, N = 3 SE +/- 0.17, N = 15 SE +/- 0.11, N = 8 SE +/- 0.19, N = 3 SE +/- 0.15, N = 15 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.67, N = 12 22.06 22.38 37.10 44.33 30.56 20.15 23.01 27.22 28.03 22.58 21.38 21.54 25.98 24.55 20.94 20.52 26.48 25.82 23.83 23.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 21 / Avg: 22.06 / Max: 22.67 Min: 21.08 / Avg: 22.38 / Max: 23.78 Min: 33.91 / Avg: 37.1 / Max: 41.62 Min: 41.32 / Avg: 44.33 / Max: 45.97 Min: 30.06 / Avg: 30.56 / Max: 31.22 Min: 20.07 / Avg: 20.15 / Max: 20.19 Min: 22.3 / Avg: 23.01 / Max: 23.42 Min: 26.94 / Avg: 27.22 / Max: 27.53 Min: 27.25 / Avg: 28.03 / Max: 29.02 Min: 22.42 / Avg: 22.58 / Max: 22.67 Min: 21.24 / Avg: 21.38 / Max: 21.64 Min: 19.53 / Avg: 21.54 / Max: 22.71 Min: 25.17 / Avg: 25.98 / Max: 26.53 Min: 23.62 / Avg: 24.55 / Max: 25.7 Min: 20.61 / Avg: 20.94 / Max: 21.36 Min: 20.25 / Avg: 20.52 / Max: 20.9 Min: 25.52 / Avg: 26.48 / Max: 27.51 Min: 25.59 / Avg: 25.82 / Max: 26.28 Min: 23.56 / Avg: 23.83 / Max: 24.36 Min: 21.05 / Avg: 23.45 / Max: 27.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.37, N = 3 SE +/- 0.31, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.28, N = 3 SE +/- 0.36, N = 4 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 SE +/- 0.18, N = 10 SE +/- 0.29, N = 3 SE +/- 0.31, N = 15 SE +/- 0.21, N = 8 SE +/- 0.04, N = 3 SE +/- 0.18, N = 15 SE +/- 0.18, N = 3 SE +/- 0.25, N = 3 SE +/- 0.61, N = 12 21.57 20.25 28.08 36.64 28.15 19.02 22.29 24.42 24.97 21.25 20.13 20.22 23.83 23.85 20.00 18.55 24.25 23.00 23.23 21.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 20.9 / Avg: 21.57 / Max: 22.16 Min: 19.66 / Avg: 20.25 / Max: 20.73 Min: 27.7 / Avg: 28.08 / Max: 28.39 Min: 36.28 / Avg: 36.64 / Max: 36.92 Min: 28.1 / Avg: 28.15 / Max: 28.25 Min: 18.89 / Avg: 19.02 / Max: 19.26 Min: 21.75 / Avg: 22.29 / Max: 22.7 Min: 23.48 / Avg: 24.42 / Max: 25.1 Min: 24.66 / Avg: 24.97 / Max: 25.17 Min: 21.04 / Avg: 21.25 / Max: 21.4 Min: 19.89 / Avg: 20.13 / Max: 20.59 Min: 19.04 / Avg: 20.22 / Max: 20.93 Min: 23.3 / Avg: 23.83 / Max: 24.31 Min: 22.12 / Avg: 23.85 / Max: 26.12 Min: 19.41 / Avg: 20 / Max: 21.27 Min: 18.46 / Avg: 18.55 / Max: 18.6 Min: 23.38 / Avg: 24.25 / Max: 25.52 Min: 22.72 / Avg: 23 / Max: 23.33 Min: 22.73 / Avg: 23.23 / Max: 23.51 Min: 19.57 / Avg: 21.89 / Max: 25.19 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9K 18K 27K 36K 45K SE +/- 7.94, N = 3 SE +/- 1247.03, N = 15 SE +/- 583.46, N = 15 SE +/- 84.86, N = 3 SE +/- 262.24, N = 3 SE +/- 57.49, N = 3 SE +/- 6.76, N = 3 SE +/- 57.07, N = 3 SE +/- 1424.04, N = 15 SE +/- 586.59, N = 3 SE +/- 1302.14, N = 15 SE +/- 1015.18, N = 15 SE +/- 11.31, N = 3 SE +/- 652.75, N = 15 SE +/- 1430.66, N = 15 SE +/- 1278.01, N = 15 SE +/- 711.02, N = 15 SE +/- 7.64, N = 3 SE +/- 104.09, N = 3 SE +/- 1308.67, N = 15 29855.75 33147.39 30578.87 40334.91 40458.23 40792.92 29733.57 40558.04 36193.24 39389.32 37812.30 31875.18 29592.44 38609.83 34154.76 36438.99 37495.07 29752.76 40098.62 37912.29 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7K 14K 21K 28K 35K Min: 29845.63 / Avg: 29855.75 / Max: 29871.4 Min: 29697.43 / Avg: 33147.39 / Max: 40789.11 Min: 29669.64 / Avg: 30578.87 / Max: 36747.81 Min: 40187.86 / Avg: 40334.91 / Max: 40481.82 Min: 39956.62 / Avg: 40458.23 / Max: 40841.69 Min: 40715.13 / Avg: 40792.92 / Max: 40905.15 Min: 29723.86 / Avg: 29733.57 / Max: 29746.57 Min: 40474.32 / Avg: 40558.04 / Max: 40667.1 Min: 29591.39 / Avg: 36193.24 / Max: 40756.03 Min: 38770.78 / Avg: 39389.32 / Max: 40561.91 Min: 29689.09 / Avg: 37812.3 / Max: 40880.42 Min: 29896.6 / Avg: 31875.18 / Max: 41391.48 Min: 29573.86 / Avg: 29592.44 / Max: 29612.91 Min: 32113.62 / Avg: 38609.83 / Max: 40643.86 Min: 29697.37 / Avg: 34154.76 / Max: 40916.91 Min: 29762.68 / Avg: 36438.99 / Max: 40720.85 Min: 32725.36 / Avg: 37495.07 / Max: 40076.38 Min: 29743.69 / Avg: 29752.76 / Max: 29767.94 Min: 39971.87 / Avg: 40098.62 / Max: 40305.01 Min: 29776 / Avg: 37912.29 / Max: 41166.9 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 SE +/- 0.55, N = 3 SE +/- 0.46, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.40, N = 3 SE +/- 0.75, N = 3 SE +/- 0.81, N = 3 SE +/- 0.42, N = 3 SE +/- 0.29, N = 3 SE +/- 0.43, N = 3 SE +/- 0.64, N = 3 SE +/- 0.78, N = 3 SE +/- 0.23, N = 3 SE +/- 0.59, N = 3 SE +/- 0.29, N = 3 SE +/- 0.59, N = 3 SE +/- 0.45, N = 3 SE +/- 0.46, N = 3 SE +/- 0.17, N = 3 SE +/- 0.31, N = 3 99.12 89.86 57.51 57.77 67.16 108.46 155.20 303.59 67.38 254.24 97.72 132.61 91.87 126.67 83.82 166.07 309.85 286.30 212.16 89.98 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 98.3 / Avg: 99.12 / Max: 100.18 Min: 89.2 / Avg: 89.86 / Max: 90.75 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: 107.41 / Avg: 108.46 / Max: 109.91 Min: 154.04 / Avg: 155.2 / Max: 156.75 Min: 302.91 / Avg: 303.59 / Max: 304.34 Min: 67.07 / Avg: 67.37 / Max: 67.95 Min: 253.65 / Avg: 254.24 / Max: 255.07 Min: 97.08 / Avg: 97.72 / Max: 99 Min: 131.57 / Avg: 132.61 / Max: 134.13 Min: 91.56 / Avg: 91.87 / Max: 92.33 Min: 125.55 / Avg: 126.67 / Max: 127.57 Min: 83.25 / Avg: 83.82 / Max: 84.14 Min: 165.23 / Avg: 166.07 / Max: 167.2 Min: 309.02 / Avg: 309.85 / Max: 310.56 Min: 285.71 / Avg: 286.3 / Max: 287.21 Min: 211.93 / Avg: 212.16 / Max: 212.49 Min: 89.65 / Avg: 89.98 / Max: 90.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K SE +/- 187.50, N = 3 SE +/- 142.85, N = 3 SE +/- 280.41, N = 3 SE +/- 122.79, N = 13 SE +/- 43.29, N = 3 SE +/- 159.08, N = 3 SE +/- 240.93, N = 3 SE +/- 118.88, N = 3 SE +/- 221.68, N = 5 SE +/- 110.61, N = 3 SE +/- 259.43, N = 4 SE +/- 319.14, N = 3 SE +/- 72.02, N = 3 SE +/- 239.42, N = 3 SE +/- 280.35, N = 3 SE +/- 217.91, N = 3 SE +/- 42.70, N = 3 SE +/- 211.99, N = 3 SE +/- 323.02, N = 3 SE +/- 155.52, N = 12 17666.54 17798.97 16873.45 15257.55 17395.25 18249.35 19739.79 21863.96 18207.44 23233.00 18480.81 21582.81 13145.41 15123.65 19075.07 20819.97 20799.73 19338.54 19909.57 18522.93 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K Min: 17297.65 / Avg: 17666.54 / Max: 17909.38 Min: 17553.05 / Avg: 17798.97 / Max: 18047.88 Min: 16389.37 / Avg: 16873.45 / Max: 17360.71 Min: 14565.09 / Avg: 15257.55 / Max: 16057.81 Min: 17319.17 / Avg: 17395.25 / Max: 17469.08 Min: 18085.74 / Avg: 18249.35 / Max: 18567.46 Min: 19334.26 / Avg: 19739.79 / Max: 20167.93 Min: 21744.25 / Avg: 21863.96 / Max: 22101.73 Min: 17459.27 / Avg: 18207.44 / Max: 18715.49 Min: 23060.25 / Avg: 23233 / Max: 23439.06 Min: 17861.61 / Avg: 18480.81 / Max: 18982.48 Min: 21033.37 / Avg: 21582.81 / Max: 22138.83 Min: 13030.5 / Avg: 13145.41 / Max: 13278.1 Min: 14646.18 / Avg: 15123.65 / Max: 15393.69 Min: 18515.2 / Avg: 19075.07 / Max: 19381.66 Min: 20414.34 / Avg: 20819.97 / Max: 21160.81 Min: 20746.03 / Avg: 20799.73 / Max: 20884.09 Min: 18915.03 / Avg: 19338.54 / Max: 19567.68 Min: 19512.83 / Avg: 19909.57 / Max: 20549.49 Min: 17705.49 / Avg: 18522.93 / Max: 19423.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.63, N = 4 SE +/- 0.16, N = 3 SE +/- 0.25, N = 3 SE +/- 0.59, N = 3 SE +/- 0.29, N = 3 SE +/- 0.46, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.45, N = 3 SE +/- 0.07, N = 3 SE +/- 0.72, N = 13 SE +/- 0.36, N = 3 SE +/- 0.32, N = 3 SE +/- 0.32, N = 3 SE +/- 0.69, N = 5 SE +/- 0.29, N = 3 SE +/- 0.41, N = 3 SE +/- 0.53, N = 3 SE +/- 0.56, N = 3 SE +/- 0.52, N = 3 43.04 46.62 37.63 39.09 40.55 47.22 41.93 54.74 43.44 43.80 53.59 34.19 44.73 49.89 51.37 51.62 53.94 47.35 52.38 52.80
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 Min: 41.75 / Avg: 43.04 / Max: 44.74 Min: 46.43 / Avg: 46.62 / Max: 46.93 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: 46.51 / Avg: 47.22 / Max: 48.09 Min: 41.6 / Avg: 41.93 / Max: 42.12 Min: 54.55 / Avg: 54.74 / Max: 54.9 Min: 42.62 / Avg: 43.44 / Max: 44.16 Min: 43.68 / Avg: 43.8 / Max: 43.92 Min: 46.74 / Avg: 53.59 / Max: 57.7 Min: 33.77 / Avg: 34.19 / Max: 34.92 Min: 44.1 / Avg: 44.73 / Max: 45.17 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: 53.23 / Avg: 53.94 / Max: 54.63 Min: 46.51 / Avg: 47.35 / Max: 48.33 Min: 51.61 / Avg: 52.38 / Max: 53.46 Min: 51.87 / Avg: 52.8 / Max: 53.67
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10K 20K 30K 40K 50K SE +/- 13.00, N = 3 SE +/- 479.86, N = 3 SE +/- 1607.53, N = 15 SE +/- 1473.07, N = 12 SE +/- 26.84, N = 3 SE +/- 111.00, N = 3 SE +/- 312.09, N = 3 SE +/- 1719.43, N = 12 SE +/- 1586.62, N = 15 SE +/- 431.79, N = 9 SE +/- 1258.25, N = 15 SE +/- 167.17, N = 3 SE +/- 10.39, N = 3 SE +/- 673.18, N = 3 SE +/- 1238.87, N = 15 SE +/- 1655.33, N = 15 SE +/- 605.87, N = 4 SE +/- 1250.59, N = 15 SE +/- 1144.65, N = 15 SE +/- 326.35, N = 3 30954.76 31430.04 34465.10 39856.39 44086.19 44173.72 44525.20 39912.22 34508.28 43604.57 42824.88 44653.46 30795.24 43731.73 32746.75 39609.55 42471.92 42868.08 39879.28 44796.65 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K Min: 30928.79 / Avg: 30954.76 / Max: 30968.63 Min: 30933.72 / Avg: 31430.04 / Max: 32389.56 Min: 30757.27 / Avg: 34465.1 / Max: 45059.28 Min: 30861.15 / Avg: 39856.39 / Max: 45375.85 Min: 44054.6 / Avg: 44086.19 / Max: 44139.58 Min: 43953.63 / Avg: 44173.72 / Max: 44308.89 Min: 44078.73 / Avg: 44525.2 / Max: 45126.2 Min: 30839.49 / Avg: 39912.22 / Max: 44942.72 Min: 30711.53 / Avg: 34508.28 / Max: 44831.88 Min: 40992.79 / Avg: 43604.57 / Max: 45136.73 Min: 30852 / Avg: 42824.88 / Max: 45551.95 Min: 44325.37 / Avg: 44653.46 / Max: 44873.2 Min: 30777.85 / Avg: 30795.24 / Max: 30813.79 Min: 42436.77 / Avg: 43731.73 / Max: 44698.31 Min: 30899.28 / Avg: 32746.75 / Max: 44718.56 Min: 30905.95 / Avg: 39609.55 / Max: 44976.02 Min: 40736.88 / Avg: 42471.92 / Max: 43372.52 Min: 30970.36 / Avg: 42868.08 / Max: 45395.84 Min: 30735.34 / Avg: 39879.28 / Max: 44320.16 Min: 44145.93 / Avg: 44796.65 / Max: 45166.05 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.4068 0.8136 1.2204 1.6272 2.034 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 6 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, 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 +/- 0.003, 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 +/- 0.001, N = 3 0.564 0.516 0.368 0.374 0.422 0.600 0.844 1.808 0.418 1.476 0.556 0.783 0.538 0.690 0.484 0.921 1.713 1.655 1.155 0.517 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.56 / Avg: 0.56 / Max: 0.57 Min: 0.51 / Avg: 0.52 / Max: 0.52 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: 0.43 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 1.8 / Avg: 1.81 / Max: 1.81 Min: 0.42 / Avg: 0.42 / Max: 0.42 Min: 1.47 / Avg: 1.48 / Max: 1.48 Min: 0.55 / Avg: 0.56 / Max: 0.56 Min: 0.78 / Avg: 0.78 / Max: 0.78 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.69 / Avg: 0.69 / Max: 0.7 Min: 0.48 / Avg: 0.48 / Max: 0.49 Min: 0.92 / Avg: 0.92 / Max: 0.93 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.65 / Avg: 1.66 / Max: 1.66 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 0.52 / Avg: 0.52 / Max: 0.52 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 150K 300K 450K 600K 750K SE +/- 1014.57, N = 3 SE +/- 1730.67, N = 3 SE +/- 7809.46, N = 3 SE +/- 7702.49, N = 6 SE +/- 3817.77, N = 3 SE +/- 144.21, N = 3 SE +/- 1077.02, N = 3 SE +/- 215.85, N = 3 SE +/- 1356.41, N = 3 SE +/- 247.67, N = 3 SE +/- 724.69, N = 3 SE +/- 555.77, N = 3 SE +/- 1195.56, N = 3 SE +/- 1409.40, N = 3 SE +/- 2717.04, N = 3 SE +/- 619.63, N = 3 SE +/- 228.56, N = 3 SE +/- 175.33, N = 3 SE +/- 402.38, N = 3 SE +/- 1331.68, N = 3 443685 485489 680891 671452 593198 417043 296331 138357 598734 169435 450377 319683 465233 362848 517604 271729 146025 151111 216661 484567 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 120K 240K 360K 480K 600K Min: 441750.91 / Avg: 443684.54 / Max: 445184.12 Min: 482047.03 / Avg: 485488.6 / Max: 487529.28 Min: 668077.17 / Avg: 680891.1 / Max: 695032.12 Min: 641670.74 / Avg: 671451.59 / Max: 692136.61 Min: 588437.25 / Avg: 593198.23 / Max: 600748.42 Min: 416754.87 / Avg: 417043.13 / Max: 417195.63 Min: 294542.54 / Avg: 296331.36 / Max: 298265.02 Min: 137940.02 / Avg: 138357.37 / Max: 138661.61 Min: 596198.71 / Avg: 598733.94 / Max: 600837.62 Min: 168939.25 / Avg: 169434.57 / Max: 169687.21 Min: 449445.05 / Avg: 450376.81 / Max: 451804.14 Min: 319110.96 / Avg: 319682.59 / Max: 320793.98 Min: 462949.41 / Avg: 465233.32 / Max: 466988.38 Min: 360029.39 / Avg: 362848.08 / Max: 364277.87 Min: 513346.16 / Avg: 517604.43 / Max: 522657.15 Min: 270504.51 / Avg: 271728.67 / Max: 272507.76 Min: 145741.05 / Avg: 146025.04 / Max: 146477.26 Min: 150760.55 / Avg: 151110.81 / Max: 151300.29 Min: 215859.43 / Avg: 216661.44 / Max: 217120.02 Min: 482176.8 / Avg: 484566.79 / Max: 486779.65 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 173.88 169.80 178.64 179.75 180.85 171.91 192.27 294.77 178.69 258.08 174.46 190.98 182.49 181.45 168.49 187.00 288.52 283.43 216.88 169.79
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0126 0.0252 0.0378 0.0504 0.063 SE +/- 0.001, N = 4 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 +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, 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 +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.049 0.045 0.046 0.046 0.046 0.046 0.051 0.054 0.045 0.049 0.044 0.049 0.052 0.049 0.045 0.045 0.056 0.056 0.045 0.045 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 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: 0.04 / 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: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / 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: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / 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: 1000 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K SE +/- 285.19, N = 4 SE +/- 159.06, N = 3 SE +/- 103.27, N = 3 SE +/- 206.48, N = 3 SE +/- 89.99, N = 3 SE +/- 118.63, N = 3 SE +/- 162.08, N = 3 SE +/- 205.26, N = 3 SE +/- 348.99, N = 3 SE +/- 93.22, N = 3 SE +/- 379.01, N = 3 SE +/- 40.49, N = 3 SE +/- 184.41, N = 3 SE +/- 259.08, N = 3 SE +/- 176.46, N = 3 SE +/- 89.85, N = 3 SE +/- 129.62, N = 3 SE +/- 42.01, N = 3 SE +/- 27.06, N = 3 SE +/- 262.17, N = 3 20394 22181 21921 21786 21827 21983 19628 18592 22073 20488 22544 20469 19432 20319 22218 22180 18091 17838 22181 22326 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K Min: 19799.7 / Avg: 20393.53 / Max: 21057.77 Min: 21867.11 / Avg: 22181.49 / Max: 22380.89 Min: 21791.82 / Avg: 21920.87 / Max: 22125.05 Min: 21391.67 / Avg: 21786.32 / Max: 22088.94 Min: 21648.3 / Avg: 21827.19 / Max: 21933.74 Min: 21821.23 / Avg: 21983.11 / Max: 22214.27 Min: 19360.7 / Avg: 19628.5 / Max: 19920.57 Min: 18182.08 / Avg: 18591.87 / Max: 18817.89 Min: 21597.21 / Avg: 22073.2 / Max: 22753.29 Min: 20323.51 / Avg: 20487.99 / Max: 20646.25 Min: 21988.7 / Avg: 22543.58 / Max: 23268.26 Min: 20410.79 / Avg: 20468.57 / Max: 20546.61 Min: 19156.62 / Avg: 19432.42 / Max: 19782.39 Min: 19805.7 / Avg: 20318.57 / Max: 20639.03 Min: 21966.52 / Avg: 22218.05 / Max: 22558.21 Min: 22003.76 / Avg: 22179.9 / Max: 22298.85 Min: 17944.02 / Avg: 18090.74 / Max: 18349.19 Min: 17753.67 / Avg: 17837.68 / Max: 17880.04 Min: 22144.29 / Avg: 22180.58 / Max: 22233.5 Min: 21982.24 / Avg: 22326.42 / Max: 22841.08 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: 1000 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0788 0.1576 0.2364 0.3152 0.394 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 +/- 0.000, 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 +/- 0.001, N = 3 SE +/- 0.002, 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 +/- 0.000, N = 3 0.115 0.111 0.079 0.082 0.089 0.125 0.185 0.345 0.093 0.311 0.116 0.170 0.110 0.140 0.104 0.190 0.347 0.350 0.244 0.110 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.11 / Avg: 0.12 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.11 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: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.18 / Avg: 0.18 / Max: 0.19 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.11 / Avg: 0.11 / Max: 0.11 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140K 280K 420K 560K 700K SE +/- 1376.11, N = 3 SE +/- 1326.84, N = 3 SE +/- 612.15, N = 3 SE +/- 1659.83, N = 3 SE +/- 1013.03, N = 3 SE +/- 1172.74, N = 3 SE +/- 210.97, N = 3 SE +/- 286.53, N = 3 SE +/- 538.07, N = 3 SE +/- 410.57, N = 3 SE +/- 1307.57, N = 3 SE +/- 760.44, N = 3 SE +/- 4360.78, N = 3 SE +/- 4015.34, N = 3 SE +/- 855.42, N = 3 SE +/- 860.38, N = 3 SE +/- 336.86, N = 3 SE +/- 249.03, N = 3 SE +/- 398.28, N = 3 SE +/- 167.60, N = 3 435226 452444 633598 607575 562236 398910 270875 145057 536335 161102 433630 294909 454581 356698 480664 263984 144134 142856 204685 454418 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110K 220K 330K 440K 550K Min: 432870.8 / Avg: 435226.23 / Max: 437636.85 Min: 450197.59 / Avg: 452444.24 / Max: 454790.64 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: 396826.2 / Avg: 398910.04 / Max: 400884.24 Min: 270580.77 / Avg: 270875.21 / Max: 271284.17 Min: 144518.75 / Avg: 145057.16 / Max: 145496.32 Min: 535427.04 / Avg: 536334.68 / Max: 537289.19 Min: 160460.54 / Avg: 161102.44 / Max: 161866.88 Min: 431757.16 / Avg: 433629.6 / Max: 436146.86 Min: 294099.18 / Avg: 294908.85 / Max: 296428.63 Min: 445915.12 / Avg: 454581.17 / Max: 459765.01 Min: 348813.87 / Avg: 356697.84 / Max: 361963.13 Min: 478981.64 / Avg: 480664.49 / Max: 481772.8 Min: 262374.62 / Avg: 263983.97 / Max: 265316.13 Min: 143572.54 / Avg: 144133.83 / Max: 144737.19 Min: 142388.22 / Avg: 142856.38 / Max: 143237.67 Min: 204217.79 / Avg: 204684.58 / Max: 205476.96 Min: 454144.33 / Avg: 454417.73 / Max: 454722.38 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.6806 1.3612 2.0418 2.7224 3.403 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.012, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.018, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.014, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 2.194 2.068 1.988 1.833 2.055 2.248 2.227 2.629 1.957 2.882 2.213 2.025 2.260 2.261 2.010 2.034 2.582 3.025 2.147 2.060 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.18 / Avg: 2.19 / Max: 2.2 Min: 2.05 / Avg: 2.07 / Max: 2.08 Min: 1.97 / Avg: 1.99 / Max: 2.01 Min: 1.82 / Avg: 1.83 / Max: 1.84 Min: 2.04 / Avg: 2.06 / Max: 2.07 Min: 2.25 / Avg: 2.25 / Max: 2.25 Min: 2.22 / Avg: 2.23 / Max: 2.23 Min: 2.62 / Avg: 2.63 / Max: 2.64 Min: 1.95 / Avg: 1.96 / Max: 1.97 Min: 2.85 / Avg: 2.88 / Max: 2.91 Min: 2.2 / Avg: 2.21 / Max: 2.23 Min: 2.02 / Avg: 2.02 / Max: 2.04 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 1.99 / Avg: 2.01 / Max: 2.04 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.56 / Avg: 2.58 / Max: 2.6 Min: 3 / Avg: 3.03 / Max: 3.04 Min: 2.13 / Avg: 2.15 / Max: 2.16 Min: 2.05 / Avg: 2.06 / Max: 2.07 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K SE +/- 64.18, N = 3 SE +/- 109.61, N = 3 SE +/- 145.91, N = 3 SE +/- 87.51, N = 3 SE +/- 73.41, N = 3 SE +/- 15.63, N = 3 SE +/- 20.70, N = 3 SE +/- 47.49, N = 3 SE +/- 56.11, N = 3 SE +/- 107.90, N = 3 SE +/- 72.06, N = 3 SE +/- 72.55, N = 3 SE +/- 43.10, N = 3 SE +/- 61.43, N = 3 SE +/- 181.28, N = 3 SE +/- 44.63, N = 3 SE +/- 100.89, N = 3 SE +/- 75.97, N = 3 SE +/- 97.96, N = 3 SE +/- 86.74, N = 3 22796 24192 25160 27291 24336 22254 22463 19021 25563 17355 22607 24704 22128 22124 24881 24590 19373 16534 23297 24286 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K Min: 22691.26 / Avg: 22795.6 / Max: 22912.51 Min: 24059.94 / Avg: 24191.65 / Max: 24409.26 Min: 24878.09 / Avg: 25160.16 / Max: 25366 Min: 27122.42 / Avg: 27290.81 / Max: 27416.33 Min: 24218.24 / Avg: 24335.92 / Max: 24470.79 Min: 22230.64 / Avg: 22254.24 / Max: 22283.78 Min: 22428.64 / Avg: 22463.42 / Max: 22500.27 Min: 18944.83 / Avg: 19021.17 / Max: 19108.28 Min: 25457.36 / Avg: 25562.69 / Max: 25648.86 Min: 17168.07 / Avg: 17355.07 / Max: 17541.86 Min: 22463.24 / Avg: 22606.6 / Max: 22691.08 Min: 24560.91 / Avg: 24703.66 / Max: 24797.53 Min: 22045.04 / Avg: 22127.67 / Max: 22190.26 Min: 22014.04 / Avg: 22124.27 / Max: 22226.37 Min: 24567.9 / Avg: 24881.03 / Max: 25195.86 Min: 24500.86 / Avg: 24589.57 / Max: 24642.44 Min: 19243.58 / Avg: 19373.27 / Max: 19571.98 Min: 16433.25 / Avg: 16534.17 / Max: 16683 Min: 23109.48 / Avg: 23296.72 / Max: 23440.29 Min: 24138.58 / Avg: 24285.77 / Max: 24438.88 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.153 0.306 0.459 0.612 0.765 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 +/- 0.001, 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 +/- 0.001, 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 0.245 0.211 0.143 0.146 0.159 0.255 0.352 0.680 0.161 0.591 0.228 0.334 0.225 0.290 0.198 0.367 0.670 0.666 0.456 0.211 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.21 / Avg: 0.21 / Max: 0.21 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: 0.25 / Avg: 0.26 / Max: 0.26 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.68 / Avg: 0.68 / Max: 0.68 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.21 / Avg: 0.21 / Max: 0.21 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 150K 300K 450K 600K 750K SE +/- 269.40, N = 3 SE +/- 484.01, N = 3 SE +/- 1979.45, N = 3 SE +/- 3649.95, N = 3 SE +/- 4128.12, N = 3 SE +/- 1253.21, N = 3 SE +/- 221.72, N = 3 SE +/- 116.38, N = 3 SE +/- 2561.67, N = 3 SE +/- 440.23, N = 3 SE +/- 481.91, N = 3 SE +/- 578.92, N = 3 SE +/- 534.92, N = 3 SE +/- 647.23, N = 3 SE +/- 1742.02, N = 3 SE +/- 237.11, N = 3 SE +/- 282.55, N = 3 SE +/- 122.43, N = 3 SE +/- 317.07, N = 3 SE +/- 1456.20, N = 3 408226 475214 703406 683975 631040 392376 283951 147105 623171 169323 438754 299776 445001 345271 506125 272783 149308 150221 219503 473444 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 120K 240K 360K 480K 600K Min: 407943.45 / Avg: 408226.49 / Max: 408765.06 Min: 474343.21 / Avg: 475213.99 / Max: 476015.6 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: 390015.68 / Avg: 392375.76 / Max: 394286.62 Min: 283511.64 / Avg: 283950.66 / Max: 284224.23 Min: 146879.97 / Avg: 147104.64 / Max: 147269.66 Min: 618057.73 / Avg: 623171.49 / Max: 625999.8 Min: 168770.72 / Avg: 169322.65 / Max: 170192.71 Min: 437804.64 / Avg: 438753.97 / Max: 439372.84 Min: 298700.71 / Avg: 299775.71 / Max: 300685.69 Min: 444155.82 / Avg: 445000.55 / Max: 445991.47 Min: 344389.34 / Avg: 345271.42 / Max: 346532.94 Min: 502686.88 / Avg: 506124.8 / Max: 508333.05 Min: 272354.55 / Avg: 272782.71 / Max: 273173.35 Min: 148785.99 / Avg: 149307.5 / Max: 149756.72 Min: 150063.06 / Avg: 150220.92 / Max: 150461.96 Min: 219004.1 / Avg: 219503.27 / Max: 220091.57 Min: 471852.79 / Avg: 473444.33 / Max: 476352.39 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.019, N = 3 SE +/- 0.008, N = 3 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.013, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.011, N = 3 SE +/- 0.010, N = 3 SE +/- 0.014, N = 3 SE +/- 0.019, N = 3 SE +/- 0.032, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 3.269 3.287 3.460 3.313 3.572 3.366 3.748 5.401 3.333 5.275 3.600 3.906 3.696 3.456 3.137 3.307 5.218 5.630 3.797 3.272 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 3.23 / Avg: 3.27 / Max: 3.29 Min: 3.27 / Avg: 3.29 / Max: 3.3 Min: 3.44 / Avg: 3.46 / Max: 3.49 Min: 3.31 / Avg: 3.31 / Max: 3.32 Min: 3.55 / Avg: 3.57 / Max: 3.59 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.74 / Avg: 3.75 / Max: 3.75 Min: 5.38 / Avg: 5.4 / Max: 5.42 Min: 3.32 / Avg: 3.33 / Max: 3.35 Min: 5.26 / Avg: 5.28 / Max: 5.3 Min: 3.57 / Avg: 3.6 / Max: 3.63 Min: 3.85 / Avg: 3.91 / Max: 3.96 Min: 3.69 / Avg: 3.7 / Max: 3.7 Min: 3.45 / Avg: 3.46 / Max: 3.47 Min: 3.12 / Avg: 3.14 / Max: 3.17 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 5.2 / Avg: 5.22 / Max: 5.24 Min: 5.6 / Avg: 5.63 / Max: 5.65 Min: 3.79 / Avg: 3.8 / Max: 3.81 Min: 3.26 / Avg: 3.27 / Max: 3.3 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7K 14K 21K 28K 35K SE +/- 182.35, N = 3 SE +/- 70.45, N = 3 SE +/- 118.59, N = 3 SE +/- 33.78, N = 3 SE +/- 101.40, N = 3 SE +/- 93.09, N = 3 SE +/- 24.50, N = 3 SE +/- 38.90, N = 3 SE +/- 82.99, N = 3 SE +/- 48.99, N = 3 SE +/- 147.21, N = 3 SE +/- 210.97, N = 3 SE +/- 9.73, N = 3 SE +/- 52.15, N = 3 SE +/- 147.71, N = 3 SE +/- 57.62, N = 3 SE +/- 44.39, N = 3 SE +/- 42.70, N = 3 SE +/- 42.24, N = 3 SE +/- 132.62, N = 3 30635 30472 28946 30234 28052 29755 26710 18526 30056 18968 27817 25631 27104 28983 31925 30264 19178 17773 26353 30608 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K Min: 30422.57 / Avg: 30634.68 / Max: 30997.65 Min: 30351.66 / Avg: 30472.2 / Max: 30595.65 Min: 28709.38 / Avg: 28946.44 / Max: 29071.66 Min: 30166.75 / Avg: 30234.16 / Max: 30271.83 Min: 27946.46 / Avg: 28051.59 / Max: 28254.36 Min: 29586.2 / Avg: 29754.83 / Max: 29907.47 Min: 26674.67 / Avg: 26710.42 / Max: 26757.31 Min: 18453.24 / Avg: 18526.01 / Max: 18586.25 Min: 29898.19 / Avg: 30055.53 / Max: 30179.97 Min: 18870.47 / Avg: 18968.29 / Max: 19022.11 Min: 27578.49 / Avg: 27817.02 / Max: 28085.76 Min: 25306.01 / Avg: 25631.36 / Max: 26026.7 Min: 27089.74 / Avg: 27103.73 / Max: 27122.43 Min: 28879.4 / Avg: 28983.04 / Max: 29045.02 Min: 31629.49 / Avg: 31924.55 / Max: 32084.7 Min: 30148.99 / Avg: 30264.23 / Max: 30322.74 Min: 19092.39 / Avg: 19177.91 / Max: 19241.32 Min: 17717.75 / Avg: 17772.88 / Max: 17856.94 Min: 26282.22 / Avg: 26352.9 / Max: 26428.32 Min: 30344.25 / Avg: 30608.03 / Max: 30764.02 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.008, N = 3 SE +/- 0.044, N = 3 SE +/- 0.006, N = 3 SE +/- 0.025, N = 3 SE +/- 0.052, N = 3 SE +/- 0.034, N = 3 SE +/- 0.024, N = 3 SE +/- 0.010, N = 3 SE +/- 0.043, N = 3 SE +/- 0.046, N = 3 SE +/- 0.043, N = 3 SE +/- 0.032, N = 3 SE +/- 0.025, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.037, N = 3 SE +/- 0.010, N = 3 SE +/- 0.032, N = 3 7.557 7.286 7.714 7.301 7.549 7.835 9.875 14.814 7.300 13.473 8.110 10.634 8.556 8.158 7.011 8.419 14.122 14.772 10.600 7.376 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 7.55 / Avg: 7.56 / Max: 7.57 Min: 7.25 / Avg: 7.29 / Max: 7.31 Min: 7.7 / Avg: 7.71 / Max: 7.72 Min: 7.26 / Avg: 7.3 / Max: 7.39 Min: 7.54 / Avg: 7.55 / Max: 7.56 Min: 7.8 / Avg: 7.84 / Max: 7.88 Min: 9.78 / Avg: 9.88 / Max: 9.95 Min: 14.76 / Avg: 14.81 / Max: 14.88 Min: 7.26 / Avg: 7.3 / Max: 7.34 Min: 13.46 / Avg: 13.47 / Max: 13.49 Min: 8.05 / Avg: 8.11 / Max: 8.19 Min: 10.56 / Avg: 10.63 / Max: 10.72 Min: 8.47 / Avg: 8.56 / Max: 8.6 Min: 8.11 / Avg: 8.16 / Max: 8.22 Min: 6.96 / Avg: 7.01 / Max: 7.04 Min: 8.41 / Avg: 8.42 / Max: 8.43 Min: 14.1 / Avg: 14.12 / Max: 14.13 Min: 14.7 / Avg: 14.77 / Max: 14.82 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 7.34 / Avg: 7.38 / Max: 7.44 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K SE +/- 21.38, N = 3 SE +/- 88.24, N = 3 SE +/- 42.20, N = 3 SE +/- 193.77, N = 3 SE +/- 31.18, N = 3 SE +/- 101.89, N = 3 SE +/- 133.71, N = 3 SE +/- 39.46, N = 3 SE +/- 113.22, N = 3 SE +/- 13.52, N = 3 SE +/- 165.61, N = 3 SE +/- 103.35, N = 3 SE +/- 147.07, N = 3 SE +/- 120.80, N = 3 SE +/- 124.58, N = 3 SE +/- 19.61, N = 3 SE +/- 11.78, N = 3 SE +/- 42.54, N = 3 SE +/- 22.87, N = 3 SE +/- 144.22, N = 3 33122 34366 32507 34356 33185 31947 25340 16885 34328 18564 30874 23530 29266 30684 35712 29719 17712 16933 23600 33948 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K Min: 33079.4 / Avg: 33121.84 / Max: 33147.58 Min: 34258.42 / Avg: 34366.01 / Max: 34540.96 Min: 32448.63 / Avg: 32507.36 / Max: 32589.21 Min: 33968.85 / Avg: 34356.37 / Max: 34553.08 Min: 33124.22 / Avg: 33185.44 / Max: 33226.34 Min: 31756.67 / Avg: 31947.17 / Max: 32105.07 Min: 25137.62 / Avg: 25339.61 / Max: 25592.38 Min: 16814.19 / Avg: 16885.02 / Max: 16950.57 Min: 34126.13 / Avg: 34327.72 / Max: 34517.82 Min: 18540.42 / Avg: 18564.06 / Max: 18587.26 Min: 30551.36 / Avg: 30873.5 / Max: 31101.24 Min: 23337.98 / Avg: 23529.58 / Max: 23692.55 Min: 29102.33 / Avg: 29266.2 / Max: 29559.66 Min: 30449.94 / Avg: 30683.77 / Max: 30853.3 Min: 35567.36 / Avg: 35712.36 / Max: 35960.34 Min: 29693.76 / Avg: 29719.02 / Max: 29757.63 Min: 17699.56 / Avg: 17711.97 / Max: 17735.53 Min: 16874.5 / Avg: 16933.07 / Max: 17015.81 Min: 23558.13 / Avg: 23599.78 / Max: 23636.98 Min: 33659.87 / Avg: 33948.31 / Max: 34094.55 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9M 18M 27M 36M 45M SE +/- 216768.78, N = 3 SE +/- 137924.77, N = 3 SE +/- 198080.38, N = 3 SE +/- 217072.87, N = 3 SE +/- 229640.42, N = 3 SE +/- 226875.87, N = 3 SE +/- 472480.22, N = 3 SE +/- 252864.20, N = 3 SE +/- 253533.19, N = 3 SE +/- 290111.25, N = 3 SE +/- 486609.08, N = 3 SE +/- 472119.65, N = 6 SE +/- 226742.78, N = 3 SE +/- 166454.26, N = 3 SE +/- 288205.93, N = 3 SE +/- 165385.16, N = 3 SE +/- 130216.74, N = 3 SE +/- 436419.16, N = 5 SE +/- 155536.72, N = 3 SE +/- 367535.20, N = 3 39446298.1 33230145.2 31996287.3 34006118.7 33456314.6 33817633.6 33558264.8 32409435.2 32835766.0 40212653.6 32982666.1 39633515.4 32270334.2 31911088.8 33745274.1 31997433.8 33048937.0 34728740.7 33234938.3 33922674.2
Result Confidence
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7M 14M 21M 28M 35M Min: 39016803.3 / Avg: 39446298.07 / Max: 39712200.1 Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3 Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3 Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5 Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694 Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225 Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7 Min: 31904966 / Avg: 32409435.17 / Max: 32692557.6 Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2 Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2 Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1 Min: 37414193 / Avg: 39633515.43 / Max: 40556935 Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7 Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2 Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6 Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1 Min: 32797065.1 / Avg: 33048936.97 / Max: 33232228.1 Min: 33693824.3 / Avg: 34728740.74 / Max: 35856987.7 Min: 32942651.5 / Avg: 33234938.3 / Max: 33473284.4 Min: 33506863.3 / Avg: 33922674.2 / Max: 34655529.5
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 0.323 0.353 0.351 0.348 0.350 0.343 0.373 0.390 0.348 0.346 0.351 0.351 0.374 0.368 0.341 0.364 0.403 0.400 0.363 0.348 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.32 / Avg: 0.32 / Max: 0.33 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: 0.36 Min: 0.34 / Avg: 0.34 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.38 / Avg: 0.39 / Max: 0.4 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 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.34 / 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: 1 - Mode: Read Write EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 SE +/- 28.94, N = 3 SE +/- 9.34, N = 3 SE +/- 17.22, N = 3 SE +/- 18.01, N = 3 SE +/- 27.23, N = 3 SE +/- 15.96, N = 3 SE +/- 31.89, N = 3 SE +/- 36.25, N = 3 SE +/- 26.42, N = 3 SE +/- 3.64, N = 3 SE +/- 13.16, N = 3 SE +/- 1.38, N = 3 SE +/- 37.57, N = 3 SE +/- 12.96, N = 3 SE +/- 28.38, N = 3 SE +/- 19.16, N = 3 SE +/- 13.05, N = 3 SE +/- 23.86, N = 3 SE +/- 16.59, N = 3 SE +/- 17.32, N = 3 3103 2835 2845 2877 2859 2914 2680 2568 2872 2891 2850 2852 2673 2717 2935 2745 2482 2498 2757 2877 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 500 1000 1500 2000 2500 Min: 3062.29 / Avg: 3103.44 / Max: 3159.28 Min: 2817.49 / Avg: 2835.09 / Max: 2849.31 Min: 2825.52 / Avg: 2845.46 / Max: 2879.74 Min: 2840.72 / Avg: 2876.63 / Max: 2897.01 Min: 2806.49 / Avg: 2859.08 / Max: 2897.62 Min: 2881.99 / Avg: 2913.86 / Max: 2931.47 Min: 2630.77 / Avg: 2680.14 / Max: 2739.79 Min: 2506.37 / Avg: 2568.17 / Max: 2631.9 Min: 2824.25 / Avg: 2872.16 / Max: 2915.42 Min: 2883.86 / Avg: 2891.13 / Max: 2895.01 Min: 2823.33 / Avg: 2849.63 / Max: 2863.69 Min: 2849.66 / Avg: 2851.95 / Max: 2854.42 Min: 2611.35 / Avg: 2672.99 / Max: 2741.03 Min: 2695.19 / Avg: 2717.14 / Max: 2740.04 Min: 2901.28 / Avg: 2935.34 / Max: 2991.69 Min: 2714.71 / Avg: 2744.76 / Max: 2780.38 Min: 2458.31 / Avg: 2481.71 / Max: 2503.41 Min: 2451.18 / Avg: 2497.82 / Max: 2529.91 Min: 2724.8 / Avg: 2756.58 / Max: 2780.72 Min: 2844.57 / Avg: 2877.05 / Max: 2903.7 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.0065112, N = 3 SE +/- 0.0018526, N = 3 SE +/- 0.0033424, N = 3 SE +/- 0.0024663, N = 3 SE +/- 0.0011629, N = 3 SE +/- 0.0002745, N = 3 SE +/- 0.0059694, N = 3 SE +/- 0.1578188, N = 3 SE +/- 0.0010920, N = 3 SE +/- 0.0121655, N = 3 SE +/- 0.0003677, N = 3 SE +/- 0.0017475, N = 3 SE +/- 0.0009813, N = 3 SE +/- 0.0031335, N = 3 SE +/- 0.0005818, N = 3 SE +/- 0.0043546, N = 3 SE +/- 0.0080390, N = 3 SE +/- 0.1052585, N = 15 SE +/- 0.0051250, N = 3 SE +/- 0.0000619, N = 3 8.6221570 7.6937696 7.5164994 7.4761666 7.4229073 7.8200074 7.9071273 11.8314800 7.3683532 9.5929839 7.5321392 9.2130346 7.5875978 7.1588623 7.7384578 7.7021942 8.2625257 10.9138750 7.7575322 7.6941152 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 8.62 / Avg: 8.62 / Max: 8.64 Min: 7.69 / Avg: 7.69 / Max: 7.7 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: 7.82 / Avg: 7.82 / Max: 7.82 Min: 7.9 / Avg: 7.91 / Max: 7.92 Min: 11.56 / Avg: 11.83 / Max: 12.1 Min: 7.37 / Avg: 7.37 / Max: 7.37 Min: 9.57 / Avg: 9.59 / Max: 9.62 Min: 7.53 / Avg: 7.53 / Max: 7.53 Min: 9.21 / Avg: 9.21 / Max: 9.22 Min: 7.59 / Avg: 7.59 / Max: 7.59 Min: 7.15 / Avg: 7.16 / Max: 7.16 Min: 7.74 / Avg: 7.74 / Max: 7.74 Min: 7.7 / Avg: 7.7 / Max: 7.71 Min: 8.25 / Avg: 8.26 / Max: 8.27 Min: 10.14 / Avg: 10.91 / Max: 11.48 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 7.69 / Avg: 7.69 / Max: 7.69 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 SE +/- 13.97, N = 25 SE +/- 11.31, N = 25 SE +/- 21.47, N = 25 SE +/- 25.67, N = 25 SE +/- 11.21, N = 25 SE +/- 14.93, N = 25 SE +/- 11.79, N = 25 SE +/- 15.81, N = 25 SE +/- 21.33, N = 25 SE +/- 12.51, N = 25 SE +/- 1.64, N = 5 SE +/- 11.04, N = 25 SE +/- 23.32, N = 20 SE +/- 14.00, N = 25 SE +/- 13.49, N = 25 SE +/- 22.93, N = 25 SE +/- 14.80, N = 25 SE +/- 15.21, N = 25 SE +/- 1.52, N = 5 SE +/- 15.99, N = 20 246.88 231.51 282.25 287.37 243.14 275.81 276.42 466.72 268.58 368.41 204.36 250.68 269.25 271.20 241.25 364.78 441.46 432.49 370.48 241.79
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 Min: 175.84 / Avg: 246.88 / Max: 335.73 Min: 186.86 / Avg: 231.51 / Max: 348.08 Min: 193.18 / Avg: 282.25 / Max: 625.34 Min: 192.05 / Avg: 287.37 / Max: 640.46 Min: 188.94 / Avg: 243.14 / Max: 319.52 Min: 199.24 / Avg: 275.81 / Max: 366.89 Min: 206.33 / Avg: 276.42 / Max: 340.46 Min: 386.04 / Avg: 466.72 / Max: 622.34 Min: 189.05 / Avg: 268.58 / Max: 624.53 Min: 316.64 / Avg: 368.41 / Max: 507.82 Min: 200.37 / Avg: 204.36 / Max: 208.19 Min: 170.97 / Avg: 250.68 / Max: 320.09 Min: 189.88 / Avg: 269.25 / Max: 637.24 Min: 217.65 / Avg: 271.19 / Max: 387.98 Min: 180.66 / Avg: 241.25 / Max: 373.27 Min: 211.41 / Avg: 364.78 / Max: 468.13 Min: 381.45 / Avg: 441.46 / Max: 592.92 Min: 361.13 / Avg: 432.49 / Max: 579.95 Min: 366.9 / Avg: 370.48 / Max: 375.93 Min: 185.18 / Avg: 241.79 / Max: 384.77
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.15, 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 +/- 0.13, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 13 SE +/- 0.06, N = 4 SE +/- 0.00, N = 12 33.33 37.04 58.82 55.56 50.00 30.30 21.13 10.31 50.00 12.20 33.33 24.39 35.71 26.32 40.00 19.48 10.20 10.99 15.21 37.04
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 58.82 / Avg: 58.82 / Max: 58.82 Min: 55.56 / Avg: 55.56 / Max: 55.56 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 20.83 / Avg: 21.13 / Max: 21.28 Min: 10.31 / Avg: 10.31 / Max: 10.31 Min: 12.2 / Avg: 12.2 / Max: 12.2 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 26.32 / Avg: 26.32 / Max: 26.32 Min: 19.23 / Avg: 19.48 / Max: 19.61 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 15.15 / Avg: 15.21 / Max: 15.38 Min: 37.04 / Avg: 37.04 / Max: 37.04
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 81.62 72.85 45.43 45.57 53.49 88.68 128.23 259.91 53.83 216.15 79.73 110.04 75.18 103.23 67.63 138.76 263.95 248.28 176.76 72.87 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 Min: 81.43 / Avg: 81.62 / Max: 81.8 Min: 72.69 / Avg: 72.85 / Max: 72.94 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: 88.62 / Avg: 88.68 / Max: 88.73 Min: 128.18 / Avg: 128.23 / Max: 128.29 Min: 259.78 / Avg: 259.91 / Max: 259.98 Min: 53.81 / Avg: 53.83 / Max: 53.85 Min: 216.04 / Avg: 216.15 / Max: 216.26 Min: 79.71 / Avg: 79.73 / Max: 79.77 Min: 109.88 / Avg: 110.04 / Max: 110.19 Min: 75.11 / Avg: 75.18 / Max: 75.24 Min: 103.17 / Avg: 103.23 / Max: 103.27 Min: 67.59 / Avg: 67.63 / Max: 67.66 Min: 138.68 / Avg: 138.76 / Max: 138.85 Min: 263.92 / Avg: 263.95 / Max: 263.99 Min: 248.24 / Avg: 248.28 / Max: 248.3 Min: 176.66 / Avg: 176.76 / Max: 176.83 Min: 72.83 / Avg: 72.87 / Max: 72.93 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.61, N = 3 SE +/- 0.70, N = 3 SE +/- 0.78, N = 3 SE +/- 0.27, N = 3 SE +/- 0.64, N = 3 SE +/- 0.03, N = 3 SE +/- 0.67, N = 3 SE +/- 0.68, N = 3 SE +/- 1.34, N = 3 SE +/- 0.70, N = 3 SE +/- 0.28, N = 3 SE +/- 0.48, N = 3 SE +/- 0.67, N = 3 SE +/- 0.61, N = 3 SE +/- 0.79, N = 3 SE +/- 1.52, N = 3 SE +/- 1.16, N = 6 SE +/- 1.22, N = 7 SE +/- 0.10, N = 3 97.84 105.44 107.25 111.03 108.65 105.42 106.23 109.88 107.44 95.40 106.27 90.77 107.17 112.87 104.22 109.74 117.16 105.10 112.75 104.76 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 97.81 / Avg: 97.84 / Max: 97.86 Min: 104.66 / Avg: 105.44 / Max: 106.63 Min: 106.3 / Avg: 107.25 / Max: 108.62 Min: 109.9 / Avg: 111.03 / Max: 112.54 Min: 108.37 / Avg: 108.65 / Max: 109.18 Min: 104.56 / Avg: 105.42 / Max: 106.68 Min: 106.17 / Avg: 106.23 / Max: 106.28 Min: 108.53 / Avg: 109.88 / Max: 110.59 Min: 106.6 / Avg: 107.44 / Max: 108.79 Min: 92.75 / Avg: 95.4 / Max: 97.06 Min: 104.87 / Avg: 106.27 / Max: 106.98 Min: 90.42 / Avg: 90.77 / Max: 91.33 Min: 106.36 / Avg: 107.17 / Max: 108.03 Min: 112.12 / Avg: 112.87 / Max: 114.21 Min: 103.43 / Avg: 104.22 / Max: 105.42 Min: 108.16 / Avg: 109.74 / Max: 110.58 Min: 114.36 / Avg: 117.16 / Max: 119.57 Min: 103.25 / Avg: 105.1 / Max: 110.63 Min: 109.7 / Avg: 112.75 / Max: 117.75 Min: 104.62 / Avg: 104.76 / Max: 104.95 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K SE +/- 63.84, N = 3 SE +/- 51.03, N = 3 SE +/- 38.94, N = 3 SE +/- 55.27, N = 3 SE +/- 69.06, N = 3 SE +/- 75.43, N = 3 SE +/- 74.06, N = 3 SE +/- 9.98, N = 3 SE +/- 49.67, N = 3 SE +/- 56.43, N = 3 SE +/- 67.10, N = 3 SE +/- 84.62, N = 3 SE +/- 67.32, N = 3 SE +/- 59.36, N = 3 SE +/- 45.72, N = 3 SE +/- 22.62, N = 3 SE +/- 38.69, N = 3 SE +/- 19.99, N = 3 SE +/- 31.67, N = 3 SE +/- 72.87, N = 3 9851.8 8367.0 6361.2 6319.4 7229.5 8962.6 9507.9 9011.8 7149.7 10244.2 8193.8 10471.3 8415.7 8470.3 8456.8 8883.6 8906.2 9816.4 9002.0 8254.8 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K Min: 9769.2 / Avg: 9851.77 / Max: 9977.4 Min: 8286.7 / Avg: 8366.97 / Max: 8461.7 Min: 6314.4 / Avg: 6361.2 / Max: 6438.5 Min: 6256.4 / Avg: 6319.43 / Max: 6429.6 Min: 7104.2 / Avg: 7229.47 / Max: 7342.5 Min: 8857.8 / Avg: 8962.63 / Max: 9109 Min: 9415.7 / Avg: 9507.9 / Max: 9654.4 Min: 8991.8 / Avg: 9011.77 / Max: 9021.9 Min: 7055.1 / Avg: 7149.67 / Max: 7223.3 Min: 10164 / Avg: 10244.23 / Max: 10353.1 Min: 8080 / Avg: 8193.77 / Max: 8312.3 Min: 10350.7 / Avg: 10471.27 / Max: 10634.4 Min: 8327.9 / Avg: 8415.7 / Max: 8548 Min: 8388.4 / Avg: 8470.33 / Max: 8585.7 Min: 8399.3 / Avg: 8456.77 / Max: 8547.1 Min: 8858.7 / Avg: 8883.63 / Max: 8928.8 Min: 8829.1 / Avg: 8906.2 / Max: 8950.5 Min: 9795.6 / Avg: 9816.43 / Max: 9856.4 Min: 8939.4 / Avg: 9002.03 / Max: 9041.5 Min: 8159.2 / Avg: 8254.83 / Max: 8397.9 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 93.92 114.78 115.71 115.83 115.32 114.29 119.58 143.40 115.39 111.26 116.60 95.51 116.10 120.96 112.62 121.55 140.57 135.68 127.68 114.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 93.85 / Avg: 93.92 / Max: 94.02 Min: 114.74 / Avg: 114.78 / Max: 114.82 Min: 115.66 / Avg: 115.71 / Max: 115.79 Min: 115.47 / Avg: 115.83 / Max: 116.05 Min: 115.1 / Avg: 115.32 / Max: 115.53 Min: 114.18 / Avg: 114.29 / Max: 114.34 Min: 119.53 / Avg: 119.58 / Max: 119.63 Min: 143.24 / Avg: 143.4 / Max: 143.52 Min: 115.28 / Avg: 115.39 / Max: 115.49 Min: 111.16 / Avg: 111.26 / Max: 111.36 Min: 116.42 / Avg: 116.6 / Max: 116.8 Min: 95.39 / Avg: 95.51 / Max: 95.63 Min: 115.98 / Avg: 116.1 / Max: 116.19 Min: 120.77 / Avg: 120.96 / Max: 121.17 Min: 112.54 / Avg: 112.62 / Max: 112.69 Min: 121.53 / Avg: 121.54 / Max: 121.58 Min: 140.43 / Avg: 140.57 / Max: 140.71 Min: 135.6 / Avg: 135.68 / Max: 135.77 Min: 127.57 / Avg: 127.68 / Max: 127.89 Min: 114.64 / Avg: 114.73 / Max: 114.79
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 0.40, N = 3 SE +/- 3.83, N = 15 SE +/- 2.74, N = 15 SE +/- 1.96, N = 15 SE +/- 0.49, N = 3 SE +/- 0.39, N = 3 SE +/- 1.44, N = 4 SE +/- 1.76, N = 3 SE +/- 3.10, N = 15 SE +/- 4.11, N = 12 SE +/- 4.90, N = 15 SE +/- 0.23, N = 3 SE +/- 1.19, N = 3 SE +/- 0.30, N = 3 SE +/- 1.72, N = 15 SE +/- 1.45, N = 15 SE +/- 5.98, N = 15 SE +/- 3.56, N = 15 SE +/- 2.62, N = 15 SE +/- 1.64, N = 4 67.27 97.49 164.37 162.69 110.10 114.82 103.72 130.69 135.92 116.35 116.69 58.39 95.70 128.43 92.79 102.38 111.65 88.75 96.21 117.90 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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 66.73 / Avg: 67.27 / Max: 68.06 Min: 80.07 / Avg: 97.49 / Max: 115 Min: 138.95 / Avg: 164.37 / Max: 181.75 Min: 153.2 / Avg: 162.69 / Max: 174.42 Min: 109.29 / Avg: 110.1 / Max: 110.98 Min: 114.39 / Avg: 114.82 / Max: 115.59 Min: 100.57 / Avg: 103.72 / Max: 106.94 Min: 127.21 / Avg: 130.69 / Max: 132.82 Min: 121.23 / Avg: 135.92 / Max: 159.98 Min: 92.23 / Avg: 116.35 / Max: 134.23 Min: 86 / Avg: 116.69 / Max: 132.44 Min: 57.97 / Avg: 58.39 / Max: 58.77 Min: 93.35 / Avg: 95.7 / Max: 97.15 Min: 127.84 / Avg: 128.43 / Max: 128.81 Min: 81.95 / Avg: 92.79 / Max: 107.52 Min: 92.81 / Avg: 102.38 / Max: 112.37 Min: 69.36 / Avg: 111.65 / Max: 138.39 Min: 74.15 / Avg: 88.75 / Max: 109.73 Min: 82.77 / Avg: 96.21 / Max: 112.24 Min: 113.07 / Avg: 117.9 / Max: 120.3 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.71, N = 5 SE +/- 0.99, N = 15 SE +/- 1.58, N = 15 SE +/- 1.36, N = 12 SE +/- 0.56, N = 8 SE +/- 0.28, N = 3 SE +/- 1.19, N = 12 SE +/- 0.86, N = 15 SE +/- 0.76, N = 15 SE +/- 0.30, N = 3 SE +/- 0.77, N = 15 SE +/- 0.92, N = 15 SE +/- 1.01, N = 12 SE +/- 0.99, N = 15 SE +/- 1.07, N = 15 SE +/- 0.51, N = 3 SE +/- 0.72, N = 12 SE +/- 0.95, N = 12 SE +/- 0.79, N = 12 SE +/- 0.74, N = 15 52.73 47.32 42.79 47.28 54.44 42.09 34.01 44.50 52.98 28.22 45.93 44.35 52.64 37.54 47.18 29.72 19.77 23.24 23.41 46.84 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 Min: 51.28 / Avg: 52.73 / Max: 54.81 Min: 37.01 / Avg: 47.32 / Max: 53.3 Min: 35.13 / Avg: 42.79 / Max: 56.7 Min: 41.69 / Avg: 47.28 / Max: 59.34 Min: 52.63 / Avg: 54.44 / Max: 57.73 Min: 41.72 / Avg: 42.09 / Max: 42.65 Min: 26.12 / Avg: 34.01 / Max: 42.02 Min: 39.8 / Avg: 44.5 / Max: 49.5 Min: 48.06 / Avg: 52.98 / Max: 58.56 Min: 27.66 / Avg: 28.22 / Max: 28.7 Min: 40.11 / Avg: 45.93 / Max: 50.14 Min: 38.89 / Avg: 44.35 / Max: 51.16 Min: 47.11 / Avg: 52.64 / Max: 58.36 Min: 29.32 / Avg: 37.54 / Max: 42.21 Min: 38.21 / Avg: 47.18 / Max: 52.07 Min: 28.72 / Avg: 29.72 / Max: 30.36 Min: 17.06 / Avg: 19.77 / Max: 25.36 Min: 19.86 / Avg: 23.24 / Max: 30.23 Min: 20.23 / Avg: 23.41 / Max: 28.7 Min: 42.17 / Avg: 46.84 / Max: 52.54 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 0.24, N = 3 SE +/- 1.00, N = 3 SE +/- 0.73, N = 7 SE +/- 0.37, N = 3 SE +/- 0.89, N = 5 SE +/- 1.36, N = 3 SE +/- 1.77, N = 3 SE +/- 1.26, N = 3 SE +/- 1.11, N = 3 SE +/- 2.84, N = 3 SE +/- 0.64, N = 3 SE +/- 1.42, N = 3 SE +/- 0.28, N = 3 SE +/- 0.34, N = 3 SE +/- 0.83, N = 3 SE +/- 0.72, N = 3 SE +/- 1.77, N = 3 SE +/- 3.20, N = 3 SE +/- 1.31, N = 3 SE +/- 1.21, N = 3 84.24 69.77 65.13 69.08 67.48 82.57 112.44 186.60 65.39 171.15 76.33 127.78 84.19 90.57 67.57 103.64 191.40 193.75 133.27 70.38 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 83.83 / Avg: 84.24 / Max: 84.64 Min: 68.75 / Avg: 69.77 / Max: 71.77 Min: 61.91 / Avg: 65.13 / Max: 67.08 Min: 68.68 / Avg: 69.08 / Max: 69.82 Min: 64.99 / Avg: 67.48 / Max: 69.65 Min: 80.22 / Avg: 82.57 / Max: 84.93 Min: 108.9 / Avg: 112.44 / Max: 114.31 Min: 185.16 / Avg: 186.59 / Max: 189.11 Min: 63.33 / Avg: 65.39 / Max: 67.14 Min: 167.3 / Avg: 171.15 / Max: 176.69 Min: 75.06 / Avg: 76.33 / Max: 77.02 Min: 125.05 / Avg: 127.78 / Max: 129.85 Min: 83.84 / Avg: 84.19 / Max: 84.75 Min: 90.16 / Avg: 90.57 / Max: 91.26 Min: 65.98 / Avg: 67.57 / Max: 68.77 Min: 102.22 / Avg: 103.64 / Max: 104.57 Min: 187.94 / Avg: 191.4 / Max: 193.8 Min: 187.36 / Avg: 193.75 / Max: 197.04 Min: 130.66 / Avg: 133.27 / Max: 134.78 Min: 67.97 / Avg: 70.38 / Max: 71.8 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 SE +/- 42.67, N = 15 SE +/- 22.02, N = 3 SE +/- 39.43, N = 3 SE +/- 56.97, N = 15 SE +/- 62.88, N = 13 SE +/- 26.53, N = 3 SE +/- 28.74, N = 3 SE +/- 59.72, N = 3 SE +/- 46.38, N = 15 SE +/- 46.79, N = 5 SE +/- 63.25, N = 3 SE +/- 47.65, N = 3 SE +/- 37.40, N = 3 SE +/- 41.76, N = 5 SE +/- 62.71, N = 3 SE +/- 17.16, N = 3 SE +/- 41.94, N = 3 SE +/- 27.91, N = 3 SE +/- 61.81, N = 3 SE +/- 18.16, N = 3 4212.78 3971.30 3882.01 3700.30 3740.51 3868.68 3927.11 3688.59 3760.37 3976.82 3881.51 4470.49 3451.28 3386.62 3917.15 3726.02 3667.41 3611.31 3588.51 3937.80 1. (CC) gcc options: -O3 -mavx2
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 Min: 3740.22 / Avg: 4212.78 / Max: 4364.86 Min: 3927.26 / Avg: 3971.3 / Max: 3993.41 Min: 3818.26 / Avg: 3882.01 / Max: 3954.08 Min: 3308.25 / Avg: 3700.3 / Max: 4010.2 Min: 3086.64 / Avg: 3740.51 / Max: 3933.23 Min: 3834.8 / Avg: 3868.68 / Max: 3920.99 Min: 3869.82 / Avg: 3927.11 / Max: 3959.84 Min: 3570.78 / Avg: 3688.59 / Max: 3764.52 Min: 3248.17 / Avg: 3760.37 / Max: 3959.03 Min: 3868.41 / Avg: 3976.82 / Max: 4100.49 Min: 3763.86 / Avg: 3881.51 / Max: 3980.62 Min: 4412.42 / Avg: 4470.49 / Max: 4564.96 Min: 3381.62 / Avg: 3451.28 / Max: 3509.7 Min: 3300.1 / Avg: 3386.62 / Max: 3537.19 Min: 3799.52 / Avg: 3917.15 / Max: 4013.65 Min: 3693 / Avg: 3726.02 / Max: 3750.66 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: 3901.88 / Avg: 3937.8 / Max: 3960.41 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 102.01 110.61 112.67 111.53 113.44 110.86 112.07 114.43 112.71 96.57 111.18 96.97 114.07 118.03 109.37 114.56 115.38 110.01 115.16 110.64
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 101.93 / Avg: 102.01 / Max: 102.12 Min: 110.53 / Avg: 110.61 / Max: 110.77 Min: 112.59 / Avg: 112.67 / Max: 112.75 Min: 111.44 / Avg: 111.53 / Max: 111.59 Min: 113.4 / Avg: 113.44 / Max: 113.5 Min: 110.54 / Avg: 110.86 / Max: 111.04 Min: 112.01 / Avg: 112.07 / Max: 112.17 Min: 114.36 / Avg: 114.42 / Max: 114.54 Min: 112.44 / Avg: 112.71 / Max: 112.84 Min: 96.49 / Avg: 96.57 / Max: 96.7 Min: 111.02 / Avg: 111.18 / Max: 111.49 Min: 96.76 / Avg: 96.97 / Max: 97.13 Min: 113.78 / Avg: 114.07 / Max: 114.27 Min: 117.9 / Avg: 118.03 / Max: 118.22 Min: 109.09 / Avg: 109.37 / Max: 109.82 Min: 114.37 / Avg: 114.56 / Max: 114.9 Min: 115.28 / Avg: 115.38 / Max: 115.54 Min: 109.92 / Avg: 110.01 / Max: 110.18 Min: 114.98 / Avg: 115.16 / Max: 115.31 Min: 110.55 / Avg: 110.64 / Max: 110.81
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30M 60M 90M 120M 150M SE +/- 547694.92, N = 3 SE +/- 61652.84, N = 3 SE +/- 13013.76, N = 3 SE +/- 117297.02, N = 3 SE +/- 699142.47, N = 3 SE +/- 92631.94, N = 3 SE +/- 258439.14, N = 3 SE +/- 79087.77, N = 3 SE +/- 534270.03, N = 3 SE +/- 276293.23, N = 3 SE +/- 43695.86, N = 3 SE +/- 57668.78, N = 3 SE +/- 325493.89, N = 3 SE +/- 346134.38, N = 3 SE +/- 85623.51, N = 3 SE +/- 21654.12, N = 3 SE +/- 367613.84, N = 3 SE +/- 300071.26, N = 3 SE +/- 553117.95, N = 3 SE +/- 138505.24, N = 3 113303100 68816610 77768500 77105490 92809700 79244993 103276333 40677543 82508063 106472367 65842107 141602033 104620000 75657760 66281803 46309610 69631237 100136353 54729003 66023410 1. (CXX) g++ options: -O3 -fopenmp
Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20M 40M 60M 80M 100M Min: 112224900 / Avg: 113303100 / Max: 114009600 Min: 68738250 / Avg: 68816610 / Max: 68938240 Min: 77749830 / Avg: 77768500 / Max: 77793540 Min: 76917380 / Avg: 77105490 / Max: 77320940 Min: 91869130 / Avg: 92809700 / Max: 94176030 Min: 79076240 / Avg: 79244993.33 / Max: 79395580 Min: 102759600 / Avg: 103276333.33 / Max: 103545300 Min: 40535410 / Avg: 40677543.33 / Max: 40808720 Min: 81446530 / Avg: 82508063.33 / Max: 83144630 Min: 105955800 / Avg: 106472366.67 / Max: 106900600 Min: 65754820 / Avg: 65842106.67 / Max: 65889460 Min: 141487000 / Avg: 141602033.33 / Max: 141666800 Min: 104002100 / Avg: 104620000 / Max: 105106400 Min: 75166410 / Avg: 75657760 / Max: 76325760 Min: 66123390 / Avg: 66281803.33 / Max: 66417340 Min: 46284070 / Avg: 46309610 / Max: 46352670 Min: 68899500 / Avg: 69631236.67 / Max: 70059080 Min: 99550260 / Avg: 100136353.33 / Max: 100541200 Min: 54086810 / Avg: 54729003.33 / Max: 55830170 Min: 65816160 / Avg: 66023410 / Max: 66286210 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.35, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.26, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.32, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 29.48 32.30 37.42 32.08 34.80 27.86 21.62 10.98 33.04 15.03 29.69 24.98 30.10 24.75 33.82 20.13 12.33 12.96 15.90 31.86
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 29.05 / Avg: 29.48 / Max: 30.18 Min: 32.1 / Avg: 32.3 / Max: 32.52 Min: 36.86 / Avg: 37.42 / Max: 37.93 Min: 31.8 / Avg: 32.08 / Max: 32.62 Min: 34.56 / Avg: 34.8 / Max: 35.22 Min: 27.56 / Avg: 27.86 / Max: 28.36 Min: 21.35 / Avg: 21.62 / Max: 22.04 Min: 10.72 / Avg: 10.98 / Max: 11.24 Min: 32.94 / Avg: 33.04 / Max: 33.21 Min: 14.81 / Avg: 15.03 / Max: 15.28 Min: 29.22 / Avg: 29.69 / Max: 30.17 Min: 24.48 / Avg: 24.98 / Max: 25.34 Min: 29.89 / Avg: 30.1 / Max: 30.39 Min: 24.52 / Avg: 24.75 / Max: 24.99 Min: 33.22 / Avg: 33.82 / Max: 34.33 Min: 20.08 / Avg: 20.13 / Max: 20.18 Min: 12.16 / Avg: 12.33 / Max: 12.49 Min: 12.65 / Avg: 12.96 / Max: 13.17 Min: 15.65 / Avg: 15.9 / Max: 16.12 Min: 31.4 / Avg: 31.86 / Max: 32.11
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.3253 2.6506 3.9759 5.3012 6.6265 SE +/- 0.00, N = 8 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 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 3.35 3.71 5.89 5.77 5.06 2.99 2.10 0.97 5.01 1.21 3.35 2.45 3.60 2.59 3.95 1.91 1.02 1.12 1.50 3.69
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 3.7 / Avg: 3.71 / Max: 3.72 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: 2.99 / Avg: 2.99 / Max: 3 Min: 2.1 / Avg: 2.1 / Max: 2.1 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 5 / Avg: 5.01 / Max: 5.03 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 3.58 / Avg: 3.6 / Max: 3.61 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 3.94 / Avg: 3.95 / Max: 3.95 Min: 1.9 / Avg: 1.91 / Max: 1.91 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.12 / Avg: 1.12 / Max: 1.12 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 3.68 / Avg: 3.69 / Max: 3.69
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K SE +/- 270.59, N = 3 SE +/- 120.31, N = 3 SE +/- 14.77, N = 3 SE +/- 98.16, N = 3 SE +/- 1639.18, N = 15 SE +/- 46.07, N = 3 SE +/- 48.50, N = 3 SE +/- 159.45, N = 3 SE +/- 2925.14, N = 15 SE +/- 215.91, N = 3 SE +/- 40.88, N = 3 SE +/- 58.89, N = 3 SE +/- 482.48, N = 3 SE +/- 295.81, N = 3 SE +/- 34.00, N = 3 SE +/- 99.31, N = 3 SE +/- 28.35, N = 3 SE +/- 951.90, N = 3 SE +/- 95.35, N = 3 74949 81848 61568 62139 70290 74842 73660 75301 68979 68835 85230 69107 88694 84809 79050 75192 76141 74361 80200 81683 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15K 30K 45K 60K 75K Min: 74488 / Avg: 74949 / Max: 75425 Min: 81658 / Avg: 81848.33 / Max: 82071 Min: 61539 / Avg: 61568.33 / Max: 61586 Min: 61998 / Avg: 62139.33 / Max: 62328 Min: 59832 / Avg: 70290.07 / Max: 83284 Min: 74784 / Avg: 74842 / Max: 74933 Min: 73563 / Avg: 73660 / Max: 73709 Min: 74989 / Avg: 75300.67 / Max: 75515 Min: 59677 / Avg: 68979.2 / Max: 84033 Min: 68517 / Avg: 68835 / Max: 69247 Min: 85148 / Avg: 85229.67 / Max: 85274 Min: 69005 / Avg: 69106.67 / Max: 69209 Min: 87822 / Avg: 88693.67 / Max: 89488 Min: 84435 / Avg: 84809 / Max: 85393 Min: 78982 / Avg: 79050 / Max: 79084 Min: 75035 / Avg: 75192.33 / Max: 75376 Min: 76107 / Avg: 76140.67 / Max: 76197 Min: 78418 / Avg: 80200.33 / Max: 81671 Min: 81585 / Avg: 81683.33 / Max: 81874 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 SE +/- 0.32, N = 3 SE +/- 0.39, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.33, N = 3 SE +/- 0.07, N = 3 SE +/- 1.38, N = 3 SE +/- 0.33, N = 3 SE +/- 0.21, N = 3 SE +/- 0.73, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.22, N = 3 SE +/- 0.31, N = 3 SE +/- 0.18, N = 3 SE +/- 0.74, N = 3 SE +/- 0.40, N = 3 SE +/- 0.08, N = 3 68.12 62.29 42.02 41.73 48.27 73.60 107.22 214.06 47.77 165.25 69.33 88.35 64.81 84.66 58.77 114.07 207.16 192.65 144.84 61.39
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 67.79 / Avg: 68.12 / Max: 68.76 Min: 61.67 / Avg: 62.29 / Max: 63.01 Min: 41.96 / Avg: 42.02 / Max: 42.09 Min: 41.46 / Avg: 41.73 / Max: 41.91 Min: 48.17 / Avg: 48.27 / Max: 48.39 Min: 72.99 / Avg: 73.6 / Max: 74.1 Min: 107.13 / Avg: 107.22 / Max: 107.36 Min: 212.22 / Avg: 214.06 / Max: 216.75 Min: 47.25 / Avg: 47.77 / Max: 48.37 Min: 164.92 / Avg: 165.25 / Max: 165.65 Min: 67.94 / Avg: 69.33 / Max: 70.39 Min: 88.14 / Avg: 88.35 / Max: 88.6 Min: 64.63 / Avg: 64.81 / Max: 65.01 Min: 84.5 / Avg: 84.66 / Max: 84.76 Min: 58.35 / Avg: 58.77 / Max: 59.06 Min: 113.59 / Avg: 114.07 / Max: 114.66 Min: 206.8 / Avg: 207.16 / Max: 207.4 Min: 191.37 / Avg: 192.65 / Max: 193.92 Min: 144.04 / Avg: 144.84 / Max: 145.31 Min: 61.3 / Avg: 61.39 / Max: 61.55
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300K 600K 900K 1200K 1500K SE +/- 1619.42, N = 3 SE +/- 1691.70, N = 3 SE +/- 4135.18, N = 3 SE +/- 4294.50, N = 3 SE +/- 2773.38, N = 3 SE +/- 825.62, N = 3 SE +/- 713.77, N = 3 SE +/- 537.25, N = 3 SE +/- 3450.73, N = 3 SE +/- 476.77, N = 3 SE +/- 3144.17, N = 3 SE +/- 2446.24, N = 3 SE +/- 3188.58, N = 3 SE +/- 837.79, N = 3 SE +/- 1012.15, N = 3 SE +/- 375.00, N = 3 SE +/- 2137.19, N = 3 SE +/- 352.16, N = 3 SE +/- 974.55, N = 3 SE +/- 2477.29, N = 3 1220547.1 1149222.6 1083763.6 1094235.6 1072387.8 1116967.3 1068224.4 948381.6 1104030.2 1089138.1 1128044.2 1179108.0 1085461.2 1058363.8 1146289.6 1082109.0 970567.6 957872.5 1049655.9 1121722.0
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K Min: 1217678.7 / Avg: 1220547.07 / Max: 1223283.9 Min: 1146924 / Avg: 1149222.63 / Max: 1152522 Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7 Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4 Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5 Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569 Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5 Min: 947355.2 / Avg: 948381.6 / Max: 949170.1 Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2 Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8 Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7 Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6 Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3 Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9 Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7 Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8 Min: 966382.4 / Avg: 970567.57 / Max: 973412.5 Min: 957434.8 / Avg: 957872.47 / Max: 958569.2 Min: 1048319.8 / Avg: 1049655.87 / Max: 1051552.9 Min: 1116887.2 / Avg: 1121722 / Max: 1125077.2
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 SE +/- 3.76, N = 3 SE +/- 13.35, N = 3 SE +/- 25.93, N = 15 SE +/- 13.30, N = 15 SE +/- 19.81, N = 15 SE +/- 6.08, N = 3 SE +/- 1.00, N = 3 SE +/- 2.33, N = 3 SE +/- 16.76, N = 3 SE +/- 2.08, N = 3 SE +/- 13.45, N = 3 SE +/- 5.00, N = 3 SE +/- 28.17, N = 3 SE +/- 3.61, N = 3 SE +/- 10.58, N = 3 SE +/- 3.33, N = 3 SE +/- 1.53, N = 3 SE +/- 1.86, N = 3 SE +/- 9.67, N = 3 1846 1945 975 741 1664 1664 1404 675 1657 878 1744 1599 1805 1495 1957 1194 768 776 1021 1845 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1839 / Avg: 1845.67 / Max: 1852 Min: 1923 / Avg: 1944.67 / Max: 1969 Min: 802 / Avg: 974.87 / Max: 1155 Min: 658 / Avg: 740.67 / Max: 849 Min: 1535 / Avg: 1663.87 / Max: 1807 Min: 1654 / Avg: 1664 / Max: 1675 Min: 1402 / Avg: 1404 / Max: 1405 Min: 671 / Avg: 675.33 / Max: 679 Min: 1625 / Avg: 1656.67 / Max: 1682 Min: 875 / Avg: 878 / Max: 882 Min: 1728 / Avg: 1744.33 / Max: 1771 Min: 1594 / Avg: 1599 / Max: 1609 Min: 1749 / Avg: 1804.67 / Max: 1840 Min: 1488 / Avg: 1495 / Max: 1500 Min: 1941 / Avg: 1957 / Max: 1977 Min: 1191 / Avg: 1194.33 / Max: 1201 Min: 766 / Avg: 768 / Max: 771 Min: 774 / Avg: 776.33 / Max: 780 Min: 1835 / Avg: 1844.67 / Max: 1864 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 100.63 92.64 71.65 71.67 76.22 113.46 160.86 295.86 75.77 235.47 99.78 131.51 97.10 128.78 87.90 165.05 287.40 287.34 209.48 95.20
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130 260 390 520 650 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 SE +/- 1.86, N = 3 SE +/- 1.20, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 2.31, N = 3 SE +/- 1.45, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 1.86, N = 3 SE +/- 1.33, N = 3 500 550 561 554 571 551 559 576 558 471 552 474 561 585 544 575 577 541 575 552
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 Min: 548 / Avg: 550.33 / Max: 552 Min: 551 / Avg: 554.33 / Max: 557 Min: 569 / Avg: 570.67 / Max: 573 Min: 549 / Avg: 551.33 / Max: 555 Min: 557 / Avg: 558.67 / Max: 561 Min: 575 / Avg: 576 / Max: 577 Min: 471 / Avg: 471.33 / Max: 472 Min: 551 / Avg: 552 / Max: 553 Min: 473 / Avg: 474.33 / Max: 476 Min: 560 / Avg: 561.33 / Max: 563 Min: 584 / Avg: 585 / Max: 586 Min: 540 / Avg: 544 / Max: 548 Min: 573 / Avg: 575.33 / Max: 578 Min: 576 / Avg: 576.67 / Max: 577 Min: 540 / Avg: 541 / Max: 543 Min: 571 / Avg: 574.67 / Max: 577 Min: 551 / Avg: 552.33 / Max: 555
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 150K 300K 450K 600K 750K SE +/- 9089.41, N = 3 SE +/- 1228.44, N = 3 SE +/- 624.03, N = 3 SE +/- 693.28, N = 3 SE +/- 410.21, N = 3 SE +/- 9550.05, N = 3 SE +/- 7847.93, N = 3 SE +/- 3588.14, N = 3 SE +/- 205.06, N = 3 SE +/- 827.11, N = 3 SE +/- 1199.71, N = 3 SE +/- 6470.90, N = 15 SE +/- 2603.10, N = 10 SE +/- 10655.38, N = 3 SE +/- 705.84, N = 3 SE +/- 5123.67, N = 15 SE +/- 1807.12, N = 3 SE +/- 1554.64, N = 3 SE +/- 1413.92, N = 3 SE +/- 310.98, N = 3 686461 345292 307654 289090 275661 717525 585939 422947 305816 463786 321871 580827 276010 654062 367451 627896 433814 425849 535050 318064 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 120K 240K 360K 480K 600K Min: 674470 / Avg: 686460.67 / Max: 704289 Min: 343235 / Avg: 345292 / Max: 347484 Min: 306827 / Avg: 307654 / Max: 308877 Min: 287733 / Avg: 289089.67 / Max: 290016 Min: 274953 / Avg: 275661.33 / Max: 276374 Min: 705450 / Avg: 717525.33 / Max: 736379 Min: 576271 / Avg: 585938.67 / Max: 601481 Min: 418463 / Avg: 422946.67 / Max: 430041 Min: 305412 / Avg: 305816.33 / Max: 306078 Min: 462912 / Avg: 463785.67 / Max: 465439 Min: 320633 / Avg: 321871 / Max: 324270 Min: 542172 / Avg: 580827.13 / Max: 616282 Min: 269185 / Avg: 276009.6 / Max: 288606 Min: 632768 / Avg: 654062 / Max: 665441 Min: 366463 / Avg: 367450.67 / Max: 368818 Min: 603579 / Avg: 627896.27 / Max: 685131 Min: 431309 / Avg: 433814.33 / Max: 437323 Min: 423929 / Avg: 425849 / Max: 428927 Min: 532574 / Avg: 535050.33 / Max: 537471 Min: 317495 / Avg: 318064 / Max: 318566 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800K 1600K 2400K 3200K 4000K SE +/- 2472.71, N = 3 SE +/- 265.85, N = 3 SE +/- 10849.29, N = 3 SE +/- 2152.71, N = 3 SE +/- 796.92, N = 3 SE +/- 3534.54, N = 3 SE +/- 430.56, N = 3 SE +/- 180.03, N = 3 SE +/- 1492.34, N = 3 SE +/- 1214.14, N = 3 SE +/- 506.19, N = 3 SE +/- 1977.94, N = 3 SE +/- 1597.95, N = 3 SE +/- 1422.61, N = 3 SE +/- 1095.28, N = 3 SE +/- 927.26, N = 3 SE +/- 1653.42, N = 3 SE +/- 1815.08, N = 3 SE +/- 565.25, N = 3 SE +/- 641.33, N = 3 1331757 1017473 901115 1034893 974709 1434267 1751103 3482543 1032227 2991340 1098850 1500570 1096420 1651693 956334 1818303 3658017 3449200 2541097 1018660
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600K 1200K 1800K 2400K 3000K Min: 1328690 / Avg: 1331756.67 / Max: 1336650 Min: 1016960 / Avg: 1017473.33 / Max: 1017850 Min: 883545 / Avg: 901115.33 / Max: 920927 Min: 1030910 / Avg: 1034893.33 / Max: 1038300 Min: 973240 / Avg: 974709 / Max: 975979 Min: 1428600 / Avg: 1434266.67 / Max: 1440760 Min: 1750250 / Avg: 1751103.33 / Max: 1751630 Min: 3482190 / Avg: 3482543.33 / Max: 3482780 Min: 1029410 / Avg: 1032226.67 / Max: 1034490 Min: 2989820 / Avg: 2991340 / Max: 2993740 Min: 1098140 / Avg: 1098850 / Max: 1099830 Min: 1496910 / Avg: 1500570 / Max: 1503700 Min: 1093440 / Avg: 1096420 / Max: 1098910 Min: 1648870 / Avg: 1651693.33 / Max: 1653410 Min: 954214 / Avg: 956334.33 / Max: 957871 Min: 1816530 / Avg: 1818303.33 / Max: 1819660 Min: 3655440 / Avg: 3658016.67 / Max: 3661100 Min: 3446240 / Avg: 3449200 / Max: 3452500 Min: 2539990 / Avg: 2541096.67 / Max: 2541850 Min: 1017430 / Avg: 1018660 / Max: 1019590
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 0.14, N = 3 SE +/- 0.46, N = 3 SE +/- 0.24, N = 3 SE +/- 0.79, N = 4 SE +/- 0.45, N = 8 SE +/- 0.31, N = 3 SE +/- 0.38, N = 3 SE +/- 1.14, N = 3 SE +/- 0.57, N = 4 SE +/- 0.14, N = 3 SE +/- 0.41, N = 3 SE +/- 0.99, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.27, N = 3 SE +/- 0.69, N = 3 SE +/- 0.48, N = 3 SE +/- 0.46, N = 3 SE +/- 0.23, N = 3 SE +/- 0.08, N = 3 55.04 57.40 45.05 54.35 45.36 60.56 97.02 153.13 46.45 133.10 60.54 87.18 59.47 68.34 56.19 100.99 162.64 151.14 113.37 57.39 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 54.79 / Avg: 55.04 / Max: 55.29 Min: 56.58 / Avg: 57.4 / Max: 58.17 Min: 44.57 / Avg: 45.05 / Max: 45.32 Min: 53.22 / Avg: 54.35 / Max: 56.65 Min: 44.01 / Avg: 45.35 / Max: 48.12 Min: 59.94 / Avg: 60.56 / Max: 60.89 Min: 96.64 / Avg: 97.02 / Max: 97.77 Min: 151.63 / Avg: 153.13 / Max: 155.37 Min: 45.49 / Avg: 46.44 / Max: 48.06 Min: 132.94 / Avg: 133.1 / Max: 133.37 Min: 60 / Avg: 60.54 / Max: 61.33 Min: 85.23 / Avg: 87.18 / Max: 88.43 Min: 59.21 / Avg: 59.47 / Max: 59.87 Min: 68.29 / Avg: 68.34 / Max: 68.38 Min: 55.69 / Avg: 56.19 / Max: 56.63 Min: 99.65 / Avg: 100.98 / Max: 101.96 Min: 161.79 / Avg: 162.64 / Max: 163.45 Min: 150.42 / Avg: 151.14 / Max: 151.98 Min: 112.91 / Avg: 113.37 / Max: 113.64 Min: 57.23 / Avg: 57.39 / Max: 57.47 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600 1200 1800 2400 3000 SE +/- 5.12, N = 3 SE +/- 3.57, N = 3 SE +/- 1.85, N = 3 SE +/- 1.89, N = 3 SE +/- 8.25, N = 3 SE +/- 5.99, N = 3 SE +/- 1.77, N = 3 SE +/- 8.15, N = 3 SE +/- 1.98, N = 3 SE +/- 12.04, N = 3 SE +/- 3.67, N = 3 SE +/- 2.21, N = 3 SE +/- 3.11, N = 3 SE +/- 1.63, N = 3 SE +/- 5.96, N = 3 SE +/- 3.98, N = 3 SE +/- 7.86, N = 3 SE +/- 6.33, N = 3 SE +/- 4.19, N = 3 SE +/- 5.31, N = 3 2768 2488 2355 2385 2483 2445 2301 2169 2435 2193 2346 2575 2320 2209 2602 2625 2055 1912 2504 2453 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 500 1000 1500 2000 2500 Min: 2762.43 / Avg: 2767.55 / Max: 2777.78 Min: 2481.39 / Avg: 2487.57 / Max: 2493.77 Min: 2352.94 / Avg: 2354.79 / Max: 2358.49 Min: 2380.95 / Avg: 2384.74 / Max: 2386.63 Min: 2475.25 / Avg: 2483.5 / Max: 2500 Min: 2439.02 / Avg: 2445.02 / Max: 2457 Min: 2298.85 / Avg: 2300.62 / Max: 2304.15 Min: 2155.17 / Avg: 2169.26 / Max: 2183.41 Min: 2433.09 / Avg: 2435.07 / Max: 2439.02 Min: 2169.2 / Avg: 2193.12 / Max: 2207.51 Min: 2341.92 / Avg: 2345.59 / Max: 2352.94 Min: 2570.69 / Avg: 2575.11 / Max: 2577.32 Min: 2314.81 / Avg: 2320.19 / Max: 2325.58 Min: 2207.51 / Avg: 2209.13 / Max: 2212.39 Min: 2590.67 / Avg: 2601.94 / Max: 2610.97 Min: 2617.8 / Avg: 2624.68 / Max: 2631.58 Min: 2044.99 / Avg: 2054.85 / Max: 2070.39 Min: 1901.14 / Avg: 1912.09 / Max: 1923.08 Min: 2500 / Avg: 2504.19 / Max: 2512.56 Min: 2444.99 / Avg: 2453.01 / Max: 2463.05 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300K 600K 900K 1200K 1500K SE +/- 902.43, N = 3 SE +/- 1514.83, N = 3 SE +/- 1410.52, N = 3 SE +/- 1031.15, N = 3 SE +/- 1742.78, N = 3 SE +/- 1128.81, N = 3 SE +/- 1307.15, N = 3 SE +/- 814.64, N = 3 SE +/- 1810.72, N = 3 SE +/- 3199.10, N = 3 SE +/- 1318.45, N = 3 SE +/- 1967.95, N = 3 SE +/- 1365.15, N = 3 SE +/- 1041.29, N = 3 SE +/- 1437.35, N = 3 SE +/- 530.40, N = 3 SE +/- 911.67, N = 3 SE +/- 847.00, N = 3 SE +/- 2878.39, N = 3 SE +/- 1795.11, N = 3 1401814.5 1296390.3 1274188.2 1278094.7 1190017.2 1270159.2 1210116.8 1059281.8 1280484.3 1291467.3 1279481.9 1410677.5 1259260.4 1175677.7 1307825.7 1183988.8 1073228.3 1129441.6 1145963.1 1289797.0
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K Min: 1400169.2 / Avg: 1401814.5 / Max: 1403279.7 Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8 Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4 Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9 Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2 Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4 Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5 Min: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8 Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2 Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3 Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8 Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4 Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5 Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4 Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4 Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3 Min: 1072178.8 / Avg: 1073228.3 / Max: 1075044.3 Min: 1127792.3 / Avg: 1129441.57 / Max: 1130601.1 Min: 1142348.1 / Avg: 1145963.13 / Max: 1151650.6 Min: 1286617.4 / Avg: 1289796.97 / Max: 1292830.7
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 13 SE +/- 0.04, N = 3 SE +/- 0.00, N = 10 SE +/- 0.01, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 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 +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 15 6.30 6.94 10.99 10.79 9.43 5.62 3.93 1.85 9.35 2.29 6.29 4.57 6.70 4.87 7.44 3.59 1.92 2.07 2.84 6.90
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 6.29 / Avg: 6.3 / Max: 6.33 Min: 6.94 / Avg: 6.94 / Max: 6.94 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: 5.62 / Avg: 5.62 / Max: 5.65 Min: 3.92 / Avg: 3.93 / Max: 3.94 Min: 1.84 / Avg: 1.85 / Max: 1.86 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 6.29 / Avg: 6.29 / Max: 6.29 Min: 4.57 / Avg: 4.57 / Max: 4.59 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 4.85 / Avg: 4.87 / Max: 4.88 Min: 7.41 / Avg: 7.44 / Max: 7.46 Min: 3.58 / Avg: 3.59 / Max: 3.6 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 2.07 / Avg: 2.07 / Max: 2.07 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 6.9 / Avg: 6.9 / Max: 6.9
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700K 1400K 2100K 2800K 3500K SE +/- 457.38, N = 3 SE +/- 654.96, N = 3 SE +/- 10740.36, N = 3 SE +/- 3448.59, N = 3 SE +/- 1127.21, N = 3 SE +/- 2523.85, N = 3 SE +/- 380.19, N = 3 SE +/- 1495.89, N = 3 SE +/- 2633.01, N = 3 SE +/- 1334.67, N = 3 SE +/- 447.85, N = 3 SE +/- 1498.01, N = 3 SE +/- 309.31, N = 3 SE +/- 961.47, N = 3 SE +/- 1189.21, N = 3 SE +/- 624.08, N = 3 SE +/- 2626.99, N = 3 SE +/- 1631.66, N = 3 SE +/- 519.05, N = 3 SE +/- 303.13, N = 3 1171270 906002 768962 939492 851940 1242963 1572953 3147143 892001 2717393 979887 1346997 973193 1457950 850424 1635677 3312693 3131150 2276043 907005
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600K 1200K 1800K 2400K 3000K Min: 1170570 / Avg: 1171270 / Max: 1172130 Min: 905180 / Avg: 906001.67 / Max: 907296 Min: 748326 / Avg: 768961.67 / Max: 784446 Min: 932634 / Avg: 939491.67 / Max: 943559 Min: 850031 / Avg: 851939.67 / Max: 853933 Min: 1238220 / Avg: 1242963.33 / Max: 1246830 Min: 1572510 / Avg: 1572953.33 / Max: 1573710 Min: 3144340 / Avg: 3147143.33 / Max: 3149450 Min: 889315 / Avg: 892001.33 / Max: 897267 Min: 2714830 / Avg: 2717393.33 / Max: 2719320 Min: 979151 / Avg: 979886.67 / Max: 980697 Min: 1344170 / Avg: 1346996.67 / Max: 1349270 Min: 972776 / Avg: 973192.67 / Max: 973797 Min: 1456070 / Avg: 1457950 / Max: 1459240 Min: 848503 / Avg: 850424 / Max: 852599 Min: 1634960 / Avg: 1635676.67 / Max: 1636920 Min: 3309830 / Avg: 3312693.33 / Max: 3317940 Min: 3128620 / Avg: 3131150 / Max: 3134200 Min: 2275080 / Avg: 2276043.33 / Max: 2276860 Min: 906549 / Avg: 907005 / Max: 907579
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 1.58, N = 3 SE +/- 2.71, N = 15 SE +/- 1.98, N = 15 SE +/- 2.83, N = 15 SE +/- 2.47, N = 15 SE +/- 2.01, N = 15 SE +/- 1.17, N = 15 SE +/- 1.60, N = 6 SE +/- 2.47, N = 15 SE +/- 1.93, N = 3 SE +/- 1.33, N = 15 SE +/- 0.86, N = 3 SE +/- 2.07, N = 15 SE +/- 1.63, N = 3 SE +/- 2.61, N = 15 SE +/- 1.88, N = 3 SE +/- 0.62, N = 3 SE +/- 0.72, N = 3 SE +/- 1.73, N = 5 SE +/- 1.65, N = 3 110.51 141.89 138.60 138.78 143.36 144.79 138.33 140.05 139.95 125.79 138.20 107.63 146.03 141.08 141.16 124.81 133.66 151.17 135.07 136.46 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 108.42 / Avg: 110.51 / Max: 113.6 Min: 126.74 / Avg: 141.89 / Max: 162.45 Min: 127.6 / Avg: 138.6 / Max: 154.28 Min: 124.21 / Avg: 138.77 / Max: 163.33 Min: 130.15 / Avg: 143.36 / Max: 167.38 Min: 133.15 / Avg: 144.79 / Max: 158.57 Min: 130.88 / Avg: 138.33 / Max: 148.14 Min: 135.25 / Avg: 140.05 / Max: 146.18 Min: 125.42 / Avg: 139.95 / Max: 155.81 Min: 123.73 / Avg: 125.79 / Max: 129.66 Min: 127.33 / Avg: 138.2 / Max: 146.64 Min: 106.19 / Avg: 107.63 / Max: 109.17 Min: 127.95 / Avg: 146.03 / Max: 161.11 Min: 138.87 / Avg: 141.08 / Max: 144.27 Min: 122.96 / Avg: 141.16 / Max: 156.42 Min: 121.19 / Avg: 124.81 / Max: 127.53 Min: 132.72 / Avg: 133.66 / Max: 134.82 Min: 149.88 / Avg: 151.17 / Max: 152.37 Min: 129.68 / Avg: 135.07 / Max: 138.4 Min: 133.23 / Avg: 136.46 / Max: 138.66 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 500 1000 1500 2000 2500 SE +/- 32.03, N = 3 SE +/- 33.17, N = 15 SE +/- 25.74, N = 15 SE +/- 34.92, N = 15 SE +/- 28.60, N = 15 SE +/- 23.93, N = 15 SE +/- 15.02, N = 15 SE +/- 20.26, N = 6 SE +/- 31.83, N = 15 SE +/- 30.14, N = 3 SE +/- 17.58, N = 15 SE +/- 18.48, N = 3 SE +/- 24.97, N = 15 SE +/- 20.43, N = 3 SE +/- 33.34, N = 15 SE +/- 30.54, N = 3 SE +/- 8.60, N = 3 SE +/- 7.91, N = 3 SE +/- 24.02, N = 5 SE +/- 22.59, N = 3 2266 1773 1814 1817 1755 1733 1811 1787 1798 1989 1814 2325 1719 1775 1782 2006 1871 1655 1854 1835 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 Min: 2203.22 / Avg: 2265.83 / Max: 2308.87 Min: 1541.54 / Avg: 1773.47 / Max: 1975.34 Min: 1625.63 / Avg: 1814.23 / Max: 1963.69 Min: 1536.79 / Avg: 1817.28 / Max: 2018.42 Min: 1496.68 / Avg: 1754.82 / Max: 1925.71 Min: 1578 / Avg: 1733.28 / Max: 1879.86 Min: 1688.93 / Avg: 1810.62 / Max: 1911.59 Min: 1710.92 / Avg: 1787.13 / Max: 1849.3 Min: 1608.03 / Avg: 1798.43 / Max: 1997.87 Min: 1929.03 / Avg: 1989.26 / Max: 2021.6 Min: 1707.86 / Avg: 1814.13 / Max: 1966.47 Min: 2292.23 / Avg: 2324.96 / Max: 2356.2 Min: 1554.13 / Avg: 1719.48 / Max: 1956.56 Min: 1735.14 / Avg: 1774.96 / Max: 1802.83 Min: 1600.62 / Avg: 1782.32 / Max: 2036.36 Min: 1962.23 / Avg: 2005.65 / Max: 2064.57 Min: 1855.25 / Avg: 1871.36 / Max: 1884.64 Min: 1641.56 / Avg: 1654.73 / Max: 1668.9 Min: 1807.76 / Avg: 1853.51 / Max: 1929.21 Min: 1805.6 / Avg: 1835.48 / Max: 1879.78 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 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.38, N = 3 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 SE +/- 0.19, N = 3 SE +/- 0.39, N = 3 SE +/- 0.36, N = 3 SE +/- 0.22, N = 3 SE +/- 0.27, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.18, N = 3 62.56 66.64 68.80 75.21 109.66 89.80 67.94 63.82 68.96 76.78 64.52 79.29 111.13 103.24 88.74 66.24 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 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 62.19 / Avg: 62.56 / Max: 62.91 Min: 66.44 / Avg: 66.64 / Max: 66.88 Min: 68.66 / Avg: 68.8 / Max: 68.93 Min: 74.93 / Avg: 75.21 / Max: 75.47 Min: 109.05 / Avg: 109.66 / Max: 110.37 Min: 89.62 / Avg: 89.8 / Max: 90.03 Min: 67.52 / Avg: 67.94 / Max: 68.41 Min: 63.45 / Avg: 63.82 / Max: 64.1 Min: 68.24 / Avg: 68.96 / Max: 69.6 Min: 76.12 / Avg: 76.78 / Max: 77.36 Min: 64.27 / Avg: 64.51 / Max: 64.96 Min: 78.76 / Avg: 79.29 / Max: 79.57 Min: 110.64 / Avg: 111.13 / Max: 111.79 Min: 103.16 / Avg: 103.24 / Max: 103.35 Min: 88.3 / Avg: 88.74 / Max: 89.16 Min: 66.05 / Avg: 66.24 / Max: 66.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.00157658, N = 3 SE +/- 0.00218365, N = 4 SE +/- 0.00121073, N = 3 SE +/- 0.00157735, N = 3 SE +/- 0.00073159, N = 3 SE +/- 0.00092600, N = 3 SE +/- 0.00074092, N = 3 SE +/- 0.00032749, N = 3 SE +/- 0.00111418, N = 3 SE +/- 0.00090133, N = 3 SE +/- 0.00121635, N = 3 SE +/- 0.00030324, N = 3 SE +/- 0.00052958, N = 3 SE +/- 0.00270938, N = 3 SE +/- 0.00213584, N = 4 SE +/- 0.00034313, N = 3 SE +/- 0.00118082, N = 3 SE +/- 0.00046540, N = 3 SE +/- 0.00145393, N = 3 SE +/- 0.00097007, N = 3 0.13268829 0.15202995 0.15099278 0.14786624 0.15034787 0.14753880 0.15036750 0.15760242 0.15077001 0.13005008 0.14815314 0.12735546 0.15176894 0.16397222 0.14391032 0.15535128 0.15815164 0.14928622 0.15500763 0.14899437
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.15 / Avg: 0.15 / Max: 0.16 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: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50K 100K 150K 200K 250K SE +/- 517.53, N = 3 SE +/- 1088.69, N = 3 SE +/- 457.90, N = 3 SE +/- 1020.34, N = 3 SE +/- 194.61, N = 3 SE +/- 233.28, N = 3 SE +/- 548.31, N = 3 SE +/- 894.92, N = 3 SE +/- 440.36, N = 3 SE +/- 933.85, N = 3 SE +/- 411.16, N = 3 SE +/- 67.65, N = 3 SE +/- 101.95, N = 3 SE +/- 404.73, N = 3 SE +/- 672.62, N = 15 SE +/- 552.61, N = 3 SE +/- 2446.09, N = 3 SE +/- 2475.55, N = 3 SE +/- 1339.85, N = 3 SE +/- 1070.25, N = 6 102435.0 85985.3 88189.3 124043.0 89518.2 106140.0 147770.0 213852.0 92446.9 187285.0 96229.2 127726.0 100961.0 123038.0 83541.0 150797.0 239227.0 218108.0 194837.0 88852.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K Min: 101409 / Avg: 102434.67 / Max: 103068 Min: 84090 / Avg: 85985.27 / Max: 87861.2 Min: 87277.5 / Avg: 88189.3 / Max: 88719.3 Min: 122075 / Avg: 124042.67 / Max: 125495 Min: 89280.7 / Avg: 89518.2 / Max: 89904 Min: 105676 / Avg: 106140.33 / Max: 106412 Min: 147190 / Avg: 147770 / Max: 148866 Min: 212521 / Avg: 213852.33 / Max: 215554 Min: 91614 / Avg: 92446.87 / Max: 93111.3 Min: 185504 / Avg: 187284.67 / Max: 188663 Min: 95408.3 / Avg: 96229.23 / Max: 96681.1 Min: 127593 / Avg: 127725.67 / Max: 127815 Min: 100793 / Avg: 100960.67 / Max: 101145 Min: 122592 / Avg: 123038 / Max: 123846 Min: 79803.3 / Avg: 83541.04 / Max: 88828.7 Min: 150189 / Avg: 150796.67 / Max: 151900 Min: 235037 / Avg: 239226.67 / Max: 243509 Min: 215543 / Avg: 218108 / Max: 223058 Min: 192157 / Avg: 194836.67 / Max: 196187 Min: 85098.3 / Avg: 88851.98 / Max: 91485.1
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 90K 180K 270K 360K 450K SE +/- 3714.55, N = 3 SE +/- 1851.69, N = 3 SE +/- 4239.95, N = 3 SE +/- 3410.42, N = 3 SE +/- 624.20, N = 3 SE +/- 1405.58, N = 3 SE +/- 163.65, N = 3 SE +/- 866.86, N = 3 SE +/- 4342.59, N = 7 SE +/- 1594.87, N = 3 SE +/- 1062.02, N = 3 SE +/- 228.49, N = 3 SE +/- 775.34, N = 3 SE +/- 1968.81, N = 3 SE +/- 894.11, N = 3 SE +/- 5702.08, N = 3 SE +/- 464.04, N = 3 SE +/- 238.26, N = 3 SE +/- 245.66, N = 3 SE +/- 649.38, N = 3 429753.65 407511.61 378118.38 375509.38 381667.96 401582.89 395467.10 392896.66 388353.93 414532.34 409267.14 424009.46 392401.63 388111.09 412566.04 396399.81 392714.19 386383.91 406178.39 407869.99 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70K 140K 210K 280K 350K Min: 422340.89 / Avg: 429753.65 / Max: 433886.45 Min: 404800.22 / Avg: 407511.61 / Max: 411051.91 Min: 369640.72 / Avg: 378118.38 / Max: 382526.37 Min: 369830.03 / Avg: 375509.38 / Max: 381620.4 Min: 380946.41 / Avg: 381667.96 / Max: 382911 Min: 399456.17 / Avg: 401582.89 / Max: 404238.35 Min: 395226.4 / Avg: 395467.1 / Max: 395779.53 Min: 391575.63 / Avg: 392896.66 / Max: 394529.54 Min: 375060.11 / Avg: 388353.93 / Max: 407696.35 Min: 411360.53 / Avg: 414532.34 / Max: 416410.71 Min: 407505.43 / Avg: 409267.14 / Max: 411175.58 Min: 423604.94 / Avg: 424009.46 / Max: 424395.83 Min: 390868.32 / Avg: 392401.63 / Max: 393368.67 Min: 384323.04 / Avg: 388111.09 / Max: 390936.05 Min: 411317.97 / Avg: 412566.04 / Max: 414299.14 Min: 386344.47 / Avg: 396399.81 / Max: 406086.74 Min: 391930.7 / Avg: 392714.19 / Max: 393536.77 Min: 386087.82 / Avg: 386383.91 / Max: 386855.3 Min: 405819.18 / Avg: 406178.39 / Max: 406648.29 Min: 406670.05 / Avg: 407869.99 / Max: 408900.3 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.56, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.72, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 SE +/- 0.13, N = 3 70.46 75.75 76.75 76.05 76.30 75.29 76.01 79.62 76.36 66.87 75.21 66.32 77.10 81.08 74.19 77.91 79.09 75.87 78.93 75.41 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 Min: 69.4 / Avg: 70.46 / Max: 71.3 Min: 75.53 / Avg: 75.75 / Max: 76.08 Min: 76.49 / Avg: 76.75 / Max: 76.94 Min: 75.26 / Avg: 76.05 / Max: 76.72 Min: 76.13 / Avg: 76.3 / Max: 76.49 Min: 75.01 / Avg: 75.29 / Max: 75.56 Min: 75.96 / Avg: 76.01 / Max: 76.07 Min: 79.29 / Avg: 79.62 / Max: 79.94 Min: 76.23 / Avg: 76.36 / Max: 76.6 Min: 66.42 / Avg: 66.87 / Max: 67.4 Min: 74.92 / Avg: 75.21 / Max: 75.61 Min: 66.19 / Avg: 66.32 / Max: 66.53 Min: 76.76 / Avg: 77.1 / Max: 77.4 Min: 79.79 / Avg: 81.08 / Max: 82.29 Min: 73.93 / Avg: 74.19 / Max: 74.6 Min: 77.55 / Avg: 77.91 / Max: 78.17 Min: 78.84 / Avg: 79.09 / Max: 79.56 Min: 75.67 / Avg: 75.86 / Max: 76.15 Min: 78.53 / Avg: 78.93 / Max: 79.21 Min: 75.14 / Avg: 75.41 / Max: 75.56 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 +/- 0.02, N = 3 12.08 13.16 12.45 12.83 9.24 8.19 4.34 12.64 5.30 11.25 9.62 11.50 8.34 12.59 7.70 4.38 4.63 5.79 11.98 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 12.06 / Avg: 12.08 / Max: 12.1 Min: 13.12 / Avg: 13.16 / Max: 13.18 Min: 12.42 / Avg: 12.45 / Max: 12.49 Min: 12.81 / Avg: 12.83 / Max: 12.86 Min: 9.22 / Avg: 9.24 / Max: 9.25 Min: 8.17 / Avg: 8.19 / Max: 8.21 Min: 4.33 / Avg: 4.34 / Max: 4.35 Min: 12.59 / Avg: 12.64 / Max: 12.67 Min: 5.28 / Avg: 5.3 / Max: 5.31 Min: 11.24 / Avg: 11.25 / Max: 11.27 Min: 9.61 / Avg: 9.62 / Max: 9.63 Min: 11.49 / Avg: 11.5 / Max: 11.51 Min: 8.33 / Avg: 8.34 / Max: 8.34 Min: 12.58 / Avg: 12.59 / Max: 12.6 Min: 7.68 / Avg: 7.7 / Max: 7.72 Min: 4.37 / Avg: 4.38 / Max: 4.38 Min: 4.62 / Avg: 4.63 / Max: 4.63 Min: 5.79 / Avg: 5.79 / Max: 5.8 Min: 11.94 / Avg: 11.98 / Max: 12.02 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30M 60M 90M 120M 150M SE +/- 479570.41, N = 3 SE +/- 479922.60, N = 3 SE +/- 1025327.97, N = 3 SE +/- 1059441.52, N = 3 SE +/- 548666.83, N = 3 SE +/- 385170.47, N = 3 SE +/- 154040.64, N = 3 SE +/- 110676.68, N = 3 SE +/- 75175.84, N = 3 SE +/- 170891.29, N = 3 SE +/- 528676.50, N = 3 SE +/- 360191.07, N = 3 SE +/- 517707.55, N = 3 SE +/- 93520.98, N = 3 SE +/- 717031.41, N = 3 SE +/- 143183.39, N = 3 SE +/- 210051.05, N = 3 SE +/- 33967.30, N = 3 SE +/- 116150.13, N = 3 SE +/- 192516.87, N = 3 65253280 75761184 124216434 120547124 102795064 60811617 41704153 20759851 102074873 23766693 70506630 46994090 73756703 54004216 80669002 39581259 20263553 21011732 30255678 76837283 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20M 40M 60M 80M 100M Min: 64378102 / Avg: 65253280 / Max: 66030738 Min: 75056297 / Avg: 75761184 / Max: 76677833 Min: 123082836 / Avg: 124216434.33 / Max: 126263135 Min: 118647013 / Avg: 120547124.33 / Max: 122309234 Min: 101701713 / Avg: 102795064.33 / Max: 103422629 Min: 60059394 / Avg: 60811616.67 / Max: 61331567 Min: 41396712 / Avg: 41704153.33 / Max: 41875062 Min: 20550233 / Avg: 20759851 / Max: 20926249 Min: 101934223 / Avg: 102074873.33 / Max: 102191213 Min: 23555785 / Avg: 23766693 / Max: 24105063 Min: 69730749 / Avg: 70506629.67 / Max: 71516666 Min: 46597321 / Avg: 46994090 / Max: 47713189 Min: 72731896 / Avg: 73756703 / Max: 74397135 Min: 53817366 / Avg: 54004216.33 / Max: 54104972 Min: 79334347 / Avg: 80669001.67 / Max: 81790669 Min: 39360150 / Avg: 39581259.33 / Max: 39849413 Min: 20000037 / Avg: 20263553 / Max: 20678655 Min: 20961304 / Avg: 21011732 / Max: 21076368 Min: 30066185 / Avg: 30255678 / Max: 30466794 Min: 76493767 / Avg: 76837283.33 / Max: 77159659 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 12.24 13.35 12.63 13.04 9.37 8.34 4.41 12.80 5.41 11.44 9.78 11.70 8.51 12.83 7.84 4.46 4.71 5.91 12.22 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 12.21 / Avg: 12.24 / Max: 12.26 Min: 13.34 / Avg: 13.35 / Max: 13.38 Min: 12.62 / Avg: 12.63 / Max: 12.63 Min: 13.02 / Avg: 13.04 / Max: 13.05 Min: 9.34 / Avg: 9.37 / Max: 9.4 Min: 8.31 / Avg: 8.34 / Max: 8.36 Min: 4.41 / Avg: 4.41 / Max: 4.42 Min: 12.76 / Avg: 12.8 / Max: 12.85 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 11.41 / Avg: 11.44 / Max: 11.45 Min: 9.77 / Avg: 9.78 / Max: 9.81 Min: 11.68 / Avg: 11.7 / Max: 11.71 Min: 8.5 / Avg: 8.51 / Max: 8.51 Min: 12.82 / Avg: 12.83 / Max: 12.84 Min: 7.81 / Avg: 7.84 / Max: 7.86 Min: 4.45 / Avg: 4.46 / Max: 4.47 Min: 4.7 / Avg: 4.71 / Max: 4.72 Min: 5.9 / Avg: 5.91 / Max: 5.91 Min: 12.2 / Avg: 12.22 / Max: 12.24 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.66, N = 3 SE +/- 0.50, N = 5 SE +/- 0.29, N = 9 SE +/- 0.29, N = 9 SE +/- 0.32, N = 8 SE +/- 0.74, N = 3 SE +/- 0.75, N = 4 SE +/- 0.82, N = 3 SE +/- 0.34, N = 8 SE +/- 0.59, N = 3 SE +/- 0.51, N = 5 SE +/- 0.61, N = 3 SE +/- 0.44, N = 3 SE +/- 0.85, N = 3 SE +/- 0.41, N = 6 SE +/- 0.73, N = 3 SE +/- 0.81, N = 3 SE +/- 0.78, N = 3 SE +/- 1.26, N = 3 SE +/- 0.50, N = 5 39.47 38.68 29.46 29.71 31.93 44.09 56.26 107.09 32.17 85.45 41.12 46.98 39.14 50.11 36.52 61.95 105.12 97.94 75.08 38.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 38.8 / Avg: 39.47 / Max: 40.79 Min: 38.07 / Avg: 38.68 / Max: 40.67 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: 43.31 / Avg: 44.09 / Max: 45.57 Min: 55.06 / Avg: 56.26 / Max: 58.43 Min: 105.98 / Avg: 107.09 / Max: 108.69 Min: 31.54 / Avg: 32.17 / Max: 34.51 Min: 84.43 / Avg: 85.45 / Max: 86.48 Min: 40.52 / Avg: 41.12 / Max: 43.17 Min: 46.33 / Avg: 46.98 / Max: 48.2 Min: 38.68 / Avg: 39.14 / Max: 40.01 Min: 49.19 / Avg: 50.11 / Max: 51.82 Min: 36.06 / Avg: 36.52 / Max: 38.57 Min: 60.99 / Avg: 61.95 / Max: 63.38 Min: 104.06 / Avg: 105.12 / Max: 106.71 Min: 96.97 / Avg: 97.94 / Max: 99.48 Min: 73.79 / Avg: 75.08 / Max: 77.61 Min: 38.21 / Avg: 38.73 / Max: 40.75
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 0.36, N = 3 SE +/- 0.26, N = 3 SE +/- 0.30, N = 3 SE +/- 0.48, N = 3 SE +/- 0.53, N = 3 SE +/- 25.76, N = 12 SE +/- 2.35, N = 3 SE +/- 19.13, N = 12 SE +/- 29.19, N = 12 SE +/- 30.94, N = 12 SE +/- 29.87, N = 12 SE +/- 2.36, N = 3 SE +/- 9.24, N = 3 SE +/- 2.55, N = 3 SE +/- 31.69, N = 12 SE +/- 14.92, N = 15 SE +/- 18.61, N = 3 SE +/- 1.94, N = 3 SE +/- 9.53, N = 15 SE +/- 24.59, N = 12 1406.47 1277.04 1259.32 1271.07 1253.87 1121.56 1255.12 1069.16 1228.75 1285.35 1221.20 1478.66 919.11 1196.83 1257.83 999.97 1146.70 1289.24 982.41 1134.81 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1405.9 / Avg: 1406.47 / Max: 1407.13 Min: 1276.54 / Avg: 1277.04 / Max: 1277.4 Min: 1258.72 / Avg: 1259.32 / Max: 1259.65 Min: 1270.13 / Avg: 1271.07 / Max: 1271.69 Min: 1252.91 / Avg: 1253.87 / Max: 1254.73 Min: 907.36 / Avg: 1121.56 / Max: 1260.46 Min: 1252.74 / Avg: 1255.12 / Max: 1259.81 Min: 874.4 / Avg: 1069.16 / Max: 1158.71 Min: 907.78 / Avg: 1228.75 / Max: 1260.03 Min: 1014.45 / Avg: 1285.35 / Max: 1450.78 Min: 895.88 / Avg: 1221.2 / Max: 1276.33 Min: 1474.13 / Avg: 1478.66 / Max: 1482.06 Min: 901.96 / Avg: 919.11 / Max: 933.64 Min: 1193.47 / Avg: 1196.83 / Max: 1201.83 Min: 909.58 / Avg: 1257.83 / Max: 1297.69 Min: 948.09 / Avg: 999.97 / Max: 1184.38 Min: 1112.88 / Avg: 1146.7 / Max: 1177.09 Min: 1285.92 / Avg: 1289.24 / Max: 1292.64 Min: 939.13 / Avg: 982.41 / Max: 1071.56 Min: 910.18 / Avg: 1134.81 / Max: 1270.44 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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 +/- 0.04, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 6 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.67 1.79 1.58 1.60 1.81 1.82 2.13 2.86 1.95 2.40 1.87 1.82 1.81 2.04 1.73 2.15 2.83 2.68 2.36 1.79
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 1.65 / Avg: 1.67 / Max: 1.69 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.56 / Avg: 1.58 / Max: 1.61 Min: 1.57 / Avg: 1.6 / Max: 1.62 Min: 1.79 / Avg: 1.81 / Max: 1.83 Min: 1.81 / Avg: 1.82 / Max: 1.84 Min: 2.11 / Avg: 2.13 / Max: 2.15 Min: 2.81 / Avg: 2.86 / Max: 2.93 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 2.38 / Avg: 2.4 / Max: 2.43 Min: 1.86 / Avg: 1.87 / Max: 1.87 Min: 1.78 / Avg: 1.82 / Max: 1.87 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 1.71 / Avg: 1.73 / Max: 1.74 Min: 2.11 / Avg: 2.15 / Max: 2.19 Min: 2.8 / Avg: 2.83 / Max: 2.85 Min: 2.54 / Avg: 2.68 / Max: 2.75 Min: 2.33 / Avg: 2.36 / Max: 2.39 Min: 1.77 / Avg: 1.79 / Max: 1.81
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 SE +/- 3.89, N = 3 SE +/- 1.93, N = 3 SE +/- 2.00, N = 3 SE +/- 11.52, N = 3 SE +/- 3.15, N = 3 SE +/- 4.72, N = 3 SE +/- 9.01, N = 3 SE +/- 16.19, N = 3 SE +/- 1.32, N = 3 SE +/- 9.91, N = 3 SE +/- 1.88, N = 3 SE +/- 5.88, N = 3 SE +/- 6.59, N = 3 SE +/- 6.05, N = 3 SE +/- 1.58, N = 3 SE +/- 4.06, N = 3 SE +/- 6.19, N = 3 SE +/- 23.35, N = 3 SE +/- 12.62, N = 3 SE +/- 1.78, N = 3 2973.92 3600.68 4779.84 5137.70 4182.77 3376.25 3241.97 3258.14 4174.72 2548.47 4080.51 2665.28 3826.02 3939.24 3311.76 3451.64 3207.58 3067.72 3362.88 3619.06 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900 1800 2700 3600 4500 Min: 2968.79 / Avg: 2973.92 / Max: 2981.56 Min: 3597.6 / Avg: 3600.68 / Max: 3604.23 Min: 4777.11 / Avg: 4779.84 / Max: 4783.75 Min: 5119.17 / Avg: 5137.7 / Max: 5158.83 Min: 4177.13 / Avg: 4182.77 / Max: 4188.04 Min: 3371.39 / Avg: 3376.25 / Max: 3385.68 Min: 3224.92 / Avg: 3241.97 / Max: 3255.55 Min: 3225.88 / Avg: 3258.14 / Max: 3276.8 Min: 4173.31 / Avg: 4174.72 / Max: 4177.35 Min: 2530.59 / Avg: 2548.47 / Max: 2564.8 Min: 4077.76 / Avg: 4080.51 / Max: 4084.12 Min: 2657.78 / Avg: 2665.28 / Max: 2676.87 Min: 3813.1 / Avg: 3826.02 / Max: 3834.69 Min: 3927.14 / Avg: 3939.24 / Max: 3945.37 Min: 3308.61 / Avg: 3311.76 / Max: 3313.54 Min: 3443.53 / Avg: 3451.64 / Max: 3455.81 Min: 3197.37 / Avg: 3207.58 / Max: 3218.74 Min: 3031.11 / Avg: 3067.72 / Max: 3111.13 Min: 3346.38 / Avg: 3362.88 / Max: 3387.66 Min: 3615.77 / Avg: 3619.06 / Max: 3621.88 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 3.95 4.38 6.56 6.10 5.64 3.48 2.43 1.22 5.61 1.56 3.89 2.97 4.12 3.01 4.75 2.28 1.24 1.30 1.76 4.35 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 3.92 / Avg: 3.95 / Max: 3.99 Min: 4.36 / Avg: 4.38 / Max: 4.41 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: 3.44 / Avg: 3.48 / Max: 3.51 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 1.2 / Avg: 1.22 / Max: 1.23 Min: 5.59 / Avg: 5.61 / Max: 5.66 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 3.89 / Avg: 3.89 / Max: 3.9 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 4.12 / Avg: 4.12 / Max: 4.13 Min: 2.99 / Avg: 3.01 / Max: 3.02 Min: 4.74 / Avg: 4.75 / Max: 4.76 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 1.23 / Avg: 1.24 / Max: 1.24 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 4.31 / Avg: 4.35 / Max: 4.37 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 SE +/- 6.36, N = 3 SE +/- 3.84, N = 3 SE +/- 2.34, N = 3 SE +/- 8.48, N = 3 SE +/- 9.81, N = 3 SE +/- 6.01, N = 3 SE +/- 4.71, N = 3 SE +/- 5.39, N = 3 SE +/- 3.22, N = 3 SE +/- 12.31, N = 3 SE +/- 1.42, N = 3 SE +/- 8.51, N = 3 SE +/- 2.37, N = 3 SE +/- 6.48, N = 3 SE +/- 2.06, N = 3 SE +/- 0.78, N = 3 SE +/- 8.95, N = 3 SE +/- 15.09, N = 3 SE +/- 6.01, N = 3 SE +/- 1.05, N = 3 2997.78 3605.38 4774.55 5139.16 4184.58 3382.71 3229.97 3230.48 4162.17 2554.61 4075.64 2660.52 3814.20 3930.30 3310.57 3447.77 3205.71 3089.44 3352.05 3617.50 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900 1800 2700 3600 4500 Min: 2985.12 / Avg: 2997.78 / Max: 3005.23 Min: 3600.71 / Avg: 3605.38 / Max: 3612.99 Min: 4772.16 / Avg: 4774.55 / Max: 4779.24 Min: 5124.57 / Avg: 5139.16 / Max: 5153.96 Min: 4164.99 / Avg: 4184.58 / Max: 4195.11 Min: 3374.5 / Avg: 3382.71 / Max: 3394.41 Min: 3222.4 / Avg: 3229.97 / Max: 3238.62 Min: 3219.85 / Avg: 3230.48 / Max: 3237.36 Min: 4155.89 / Avg: 4162.17 / Max: 4166.55 Min: 2530.03 / Avg: 2554.61 / Max: 2567.91 Min: 4073.01 / Avg: 4075.64 / Max: 4077.88 Min: 2643.9 / Avg: 2660.52 / Max: 2672 Min: 3809.51 / Avg: 3814.2 / Max: 3817.18 Min: 3923.6 / Avg: 3930.3 / Max: 3943.26 Min: 3306.45 / Avg: 3310.57 / Max: 3312.87 Min: 3446.6 / Avg: 3447.77 / Max: 3449.26 Min: 3188.67 / Avg: 3205.71 / Max: 3218.97 Min: 3059.83 / Avg: 3089.44 / Max: 3109.34 Min: 3342.94 / Avg: 3352.05 / Max: 3363.39 Min: 3615.55 / Avg: 3617.5 / Max: 3619.16 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 3.94 4.30 6.58 6.11 5.63 3.49 2.44 1.23 5.58 1.55 3.88 2.98 4.12 3.02 4.73 2.30 1.24 1.29 1.77 4.35 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 3.92 / Avg: 3.94 / Max: 3.98 Min: 4.26 / Avg: 4.3 / Max: 4.33 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: 3.47 / Avg: 3.49 / Max: 3.51 Min: 2.43 / Avg: 2.44 / Max: 2.46 Min: 1.22 / Avg: 1.23 / Max: 1.24 Min: 5.53 / Avg: 5.58 / Max: 5.63 Min: 1.53 / Avg: 1.55 / Max: 1.58 Min: 3.86 / Avg: 3.88 / Max: 3.9 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 4.11 / Avg: 4.12 / Max: 4.13 Min: 3 / Avg: 3.02 / Max: 3.03 Min: 4.72 / Avg: 4.73 / Max: 4.75 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 1.23 / Avg: 1.24 / Max: 1.25 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 4.33 / Avg: 4.35 / Max: 4.38 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 SE +/- 2.69, N = 3 SE +/- 1.51, N = 3 SE +/- 4.17, N = 3 SE +/- 14.96, N = 3 SE +/- 0.89, N = 3 SE +/- 3.22, N = 3 SE +/- 4.74, N = 3 SE +/- 13.27, N = 3 SE +/- 1.56, N = 3 SE +/- 4.52, N = 3 SE +/- 1.26, N = 3 SE +/- 7.58, N = 3 SE +/- 2.71, N = 3 SE +/- 4.14, N = 3 SE +/- 2.01, N = 3 SE +/- 4.62, N = 3 SE +/- 6.54, N = 3 SE +/- 2.33, N = 3 SE +/- 3.30, N = 3 SE +/- 1.08, N = 3 2275.81 2792.73 3508.02 3839.87 3092.81 2614.51 2600.47 2597.69 3248.81 1998.07 3070.66 2056.94 2896.79 2991.16 2604.68 2677.81 2600.15 2436.75 2586.14 2805.48 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 Min: 2271.29 / Avg: 2275.81 / Max: 2280.6 Min: 2790.22 / Avg: 2792.73 / Max: 2795.45 Min: 3499.99 / Avg: 3508.02 / Max: 3514.01 Min: 3819.73 / Avg: 3839.87 / Max: 3869.1 Min: 3091.18 / Avg: 3092.81 / Max: 3094.24 Min: 2608.68 / Avg: 2614.51 / Max: 2619.8 Min: 2594.08 / Avg: 2600.47 / Max: 2609.73 Min: 2571.87 / Avg: 2597.69 / Max: 2615.92 Min: 3246.75 / Avg: 3248.81 / Max: 3251.86 Min: 1992.29 / Avg: 1998.07 / Max: 2006.99 Min: 3069.11 / Avg: 3070.66 / Max: 3073.15 Min: 2043.82 / Avg: 2056.94 / Max: 2070.07 Min: 2893.86 / Avg: 2896.79 / Max: 2902.21 Min: 2982.89 / Avg: 2991.16 / Max: 2995.63 Min: 2600.93 / Avg: 2604.68 / Max: 2607.81 Min: 2668.76 / Avg: 2677.81 / Max: 2683.98 Min: 2587.1 / Avg: 2600.15 / Max: 2607.47 Min: 2432.1 / Avg: 2436.75 / Max: 2439.19 Min: 2580.39 / Avg: 2586.14 / Max: 2591.83 Min: 2804.09 / Avg: 2805.48 / Max: 2807.61 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, 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 5.25 5.70 9.08 8.24 7.67 4.57 3.06 1.54 7.36 2.01 5.20 3.88 5.50 3.99 6.09 2.98 1.53 1.64 2.31 5.68 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.23 / Avg: 5.25 / Max: 5.27 Min: 5.67 / Avg: 5.7 / Max: 5.72 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: 4.56 / Avg: 4.57 / Max: 4.58 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 1.52 / Avg: 1.54 / Max: 1.55 Min: 7.35 / Avg: 7.36 / Max: 7.36 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 5.2 / Avg: 5.2 / Max: 5.21 Min: 3.85 / Avg: 3.88 / Max: 3.91 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 3.98 / Avg: 3.99 / Max: 4.01 Min: 6 / Avg: 6.09 / Max: 6.14 Min: 2.97 / Avg: 2.98 / Max: 2.98 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 2.3 / Avg: 2.31 / Max: 2.31 Min: 5.66 / Avg: 5.68 / Max: 5.69 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1300 2600 3900 5200 6500 SE +/- 31.25, N = 3 SE +/- 2.65, N = 3 SE +/- 5.26, N = 3 SE +/- 22.10, N = 3 SE +/- 12.21, N = 3 SE +/- 13.87, N = 3 SE +/- 166.01, N = 3 SE +/- 3.23, N = 3 SE +/- 7.17, N = 3 SE +/- 30.75, N = 3 SE +/- 6.91, N = 3 SE +/- 2.32, N = 3 SE +/- 117.70, N = 3 SE +/- 142.43, N = 4 SE +/- 2.64, N = 3 SE +/- 15.72, N = 3 SE +/- 76.22, N = 3 SE +/- 147.42, N = 3 SE +/- 70.26, N = 3 SE +/- 7.19, N = 3 5739.99 5055.50 5793.43 5610.49 5876.05 5113.55 4506.35 2442.73 5616.08 2868.76 5047.53 5445.37 5859.29 4910.75 5052.50 2830.80 2412.70 2630.66 2754.89 5045.53 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 Min: 5685.18 / Avg: 5739.99 / Max: 5793.42 Min: 5050.5 / Avg: 5055.5 / Max: 5059.5 Min: 5788.17 / Avg: 5793.43 / Max: 5803.95 Min: 5566.93 / Avg: 5610.49 / Max: 5638.78 Min: 5862.52 / Avg: 5876.05 / Max: 5900.41 Min: 5095.81 / Avg: 5113.55 / Max: 5140.9 Min: 4184.77 / Avg: 4506.35 / Max: 4738.71 Min: 2437.13 / Avg: 2442.73 / Max: 2448.33 Min: 5602.93 / Avg: 5616.08 / Max: 5627.6 Min: 2832.51 / Avg: 2868.76 / Max: 2929.91 Min: 5035.57 / Avg: 5047.53 / Max: 5059.5 Min: 5440.74 / Avg: 5445.37 / Max: 5447.69 Min: 5623.89 / Avg: 5859.29 / Max: 5979.08 Min: 4484.31 / Avg: 4910.75 / Max: 5067.52 Min: 5047.51 / Avg: 5052.5 / Max: 5056.49 Min: 2808.24 / Avg: 2830.8 / Max: 2861.04 Min: 2261.2 / Avg: 2412.7 / Max: 2502.99 Min: 2351.05 / Avg: 2630.66 / Max: 2851.47 Min: 2614.63 / Avg: 2754.89 / Max: 2832.51 Min: 5035.57 / Avg: 5045.53 / Max: 5059.5 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 SE +/- 6.12, N = 3 SE +/- 1.04, N = 3 SE +/- 5.69, N = 3 SE +/- 19.98, N = 3 SE +/- 12.60, N = 3 SE +/- 12.02, N = 3 SE +/- 13.48, N = 3 SE +/- 6.48, N = 3 SE +/- 5.39, N = 3 SE +/- 50.65, N = 3 SE +/- 7.26, N = 3 SE +/- 1.58, N = 3 SE +/- 33.00, N = 3 SE +/- 49.86, N = 4 SE +/- 4.44, N = 3 SE +/- 10.08, N = 3 SE +/- 36.62, N = 3 SE +/- 25.69, N = 3 SE +/- 22.86, N = 3 SE +/- 9.20, N = 3 4225.37 3650.99 4445.33 4352.03 4389.41 3718.88 3861.21 2345.90 4265.80 3088.71 3622.05 4501.69 4254.94 3651.00 3646.83 2334.81 2390.87 3072.62 2368.92 3634.42 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 Min: 4217.92 / Avg: 4225.37 / Max: 4237.5 Min: 3648.9 / Avg: 3650.99 / Max: 3652.03 Min: 4434.14 / Avg: 4445.33 / Max: 4452.67 Min: 4314.02 / Avg: 4352.03 / Max: 4381.69 Min: 4376.81 / Avg: 4389.41 / Max: 4414.61 Min: 3700.14 / Avg: 3718.88 / Max: 3741.3 Min: 3841.39 / Avg: 3861.21 / Max: 3886.95 Min: 2333.02 / Avg: 2345.9 / Max: 2353.64 Min: 4255.84 / Avg: 4265.8 / Max: 4274.34 Min: 2987.44 / Avg: 3088.71 / Max: 3141.66 Min: 3613.31 / Avg: 3622.05 / Max: 3636.45 Min: 4498.52 / Avg: 4501.69 / Max: 4503.27 Min: 4190.95 / Avg: 4254.94 / Max: 4300.96 Min: 3503.37 / Avg: 3651 / Max: 3717.36 Min: 3638 / Avg: 3646.83 / Max: 3652.03 Min: 2324.11 / Avg: 2334.81 / Max: 2354.95 Min: 2317.79 / Avg: 2390.87 / Max: 2431.56 Min: 3025.64 / Avg: 3072.62 / Max: 3114.11 Min: 2330.47 / Avg: 2368.92 / Max: 2409.56 Min: 3620.99 / Avg: 3634.42 / Max: 3652.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 64.06 70.14 71.37 70.56 72.04 69.97 70.56 72.00 71.43 59.91 70.43 60.83 72.29 74.53 69.10 72.09 71.91 68.38 72.33 70.40
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 Min: 63.9 / Avg: 64.06 / Max: 64.16 Min: 69.89 / Avg: 70.14 / Max: 70.38 Min: 71.2 / Avg: 71.37 / Max: 71.46 Min: 70.31 / Avg: 70.56 / Max: 70.8 Min: 71.98 / Avg: 72.04 / Max: 72.07 Min: 69.89 / Avg: 69.97 / Max: 70.06 Min: 70.47 / Avg: 70.56 / Max: 70.62 Min: 71.94 / Avg: 72 / Max: 72.06 Min: 71.31 / Avg: 71.43 / Max: 71.67 Min: 59.85 / Avg: 59.91 / Max: 59.97 Min: 70.28 / Avg: 70.43 / Max: 70.62 Min: 60.48 / Avg: 60.83 / Max: 61.01 Min: 72.21 / Avg: 72.29 / Max: 72.38 Min: 74.42 / Avg: 74.53 / Max: 74.6 Min: 68.96 / Avg: 69.1 / Max: 69.25 Min: 72.06 / Avg: 72.09 / Max: 72.16 Min: 71.85 / Avg: 71.91 / Max: 72.03 Min: 68.36 / Avg: 68.38 / Max: 68.4 Min: 72.24 / Avg: 72.33 / Max: 72.4 Min: 70.36 / Avg: 70.4 / Max: 70.47
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 SE +/- 2.68, N = 3 SE +/- 2.16, N = 3 SE +/- 5.97, N = 3 SE +/- 13.85, N = 3 SE +/- 2.14, N = 3 SE +/- 5.29, N = 3 SE +/- 0.94, N = 3 SE +/- 5.91, N = 3 SE +/- 1.11, N = 3 SE +/- 2.63, N = 3 SE +/- 2.41, N = 3 SE +/- 0.56, N = 3 SE +/- 3.65, N = 3 SE +/- 2.65, N = 3 SE +/- 1.22, N = 3 SE +/- 1.27, N = 3 SE +/- 6.48, N = 3 SE +/- 8.09, N = 3 SE +/- 3.76, N = 3 SE +/- 1.31, N = 3 2280.09 2794.68 3505.17 3802.58 3093.73 2619.80 2598.28 2605.05 3239.74 2005.91 3065.49 2064.65 2894.52 2990.38 2600.40 2673.76 2588.02 2432.00 2589.48 2802.25 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 Min: 2276.36 / Avg: 2280.09 / Max: 2285.29 Min: 2790.38 / Avg: 2794.68 / Max: 2797.22 Min: 3494.9 / Avg: 3505.17 / Max: 3515.57 Min: 3782.5 / Avg: 3802.58 / Max: 3829.14 Min: 3090.11 / Avg: 3093.73 / Max: 3097.51 Min: 2609.52 / Avg: 2619.8 / Max: 2627.12 Min: 2596.72 / Avg: 2598.28 / Max: 2599.98 Min: 2594.21 / Avg: 2605.05 / Max: 2614.56 Min: 3237.91 / Avg: 3239.74 / Max: 3241.74 Min: 2000.66 / Avg: 2005.91 / Max: 2008.73 Min: 3062.31 / Avg: 3065.49 / Max: 3070.23 Min: 2063.74 / Avg: 2064.65 / Max: 2065.66 Min: 2890.55 / Avg: 2894.52 / Max: 2901.82 Min: 2985.22 / Avg: 2990.38 / Max: 2994.01 Min: 2598.01 / Avg: 2600.4 / Max: 2602.05 Min: 2671.86 / Avg: 2673.76 / Max: 2676.17 Min: 2576.99 / Avg: 2588.02 / Max: 2599.43 Min: 2417.5 / Avg: 2432 / Max: 2445.45 Min: 2583.64 / Avg: 2589.48 / Max: 2596.51 Min: 2800.17 / Avg: 2802.25 / Max: 2804.68 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, 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 5.26 5.68 9.06 8.27 7.68 4.57 3.06 1.53 7.37 1.99 5.21 3.88 5.50 3.98 6.07 2.99 1.55 1.64 2.31 5.69 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.25 / Avg: 5.26 / Max: 5.26 Min: 5.67 / Avg: 5.68 / Max: 5.69 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: 4.55 / Avg: 4.57 / Max: 4.58 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 7.35 / Avg: 7.37 / Max: 7.39 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 5.2 / Avg: 5.21 / Max: 5.22 Min: 3.87 / Avg: 3.88 / Max: 3.88 Min: 5.49 / Avg: 5.5 / Max: 5.51 Min: 3.97 / Avg: 3.98 / Max: 3.99 Min: 5.97 / Avg: 6.07 / Max: 6.14 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 1.54 / Avg: 1.55 / Max: 1.56 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 2.3 / Avg: 2.31 / Max: 2.32 Min: 5.68 / Avg: 5.69 / Max: 5.7 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0003 0.0006 0.0009 0.0012 0.0015 SE +/- 0.00001130, N = 3 SE +/- 0.00000873, N = 3 SE +/- 0.00000843, N = 3 SE +/- 0.00001189, N = 15 SE +/- 0.00000704, N = 3 SE +/- 0.00000929, N = 3 SE +/- 0.00000590, N = 3 SE +/- 0.00000638, N = 3 SE +/- 0.00000492, N = 3 SE +/- 0.00000094, N = 3 SE +/- 0.00000997, N = 3 SE +/- 0.00000247, N = 3 SE +/- 0.00001716, N = 3 SE +/- 0.00001515, N = 4 SE +/- 0.00001457, N = 4 SE +/- 0.00001218, N = 3 SE +/- 0.00000634, N = 3 SE +/- 0.00001635, N = 3 SE +/- 0.00002074, N = 15 SE +/- 0.00001145, N = 3 0.00088316 0.00101088 0.00100578 0.00106825 0.00101967 0.00099951 0.00100912 0.00103515 0.00102449 0.00089156 0.00099397 0.00083164 0.00105341 0.00114026 0.00100704 0.00102628 0.00131517 0.00112597 0.00124568 0.00102829
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13K 26K 39K 52K 65K SE +/- 115.54, N = 3 SE +/- 400.69, N = 3 SE +/- 185.27, N = 3 SE +/- 257.77, N = 3 SE +/- 184.21, N = 3 SE +/- 327.00, N = 3 SE +/- 78.28, N = 3 SE +/- 33.59, N = 3 SE +/- 163.42, N = 3 SE +/- 80.57, N = 3 SE +/- 300.18, N = 3 SE +/- 51.15, N = 3 SE +/- 598.50, N = 3 SE +/- 246.39, N = 3 SE +/- 463.85, N = 3 SE +/- 45.83, N = 3 SE +/- 33.32, N = 3 SE +/- 70.89, N = 3 SE +/- 71.70, N = 3 SE +/- 449.08, N = 3 34247 36297 59016 57889 50184 32046 21913 10313 51417 13123 33553 25542 34775 27814 38642 20890 11114 11724 15990 35209
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10K 20K 30K 40K 50K Min: 34016 / Avg: 34246.67 / Max: 34374 Min: 35508 / Avg: 36297 / Max: 36813 Min: 58749 / Avg: 59016 / Max: 59372 Min: 57376 / Avg: 57888.67 / Max: 58192 Min: 49929 / Avg: 50184.33 / Max: 50542 Min: 31560 / Avg: 32046 / Max: 32668 Min: 21758 / Avg: 21913.33 / Max: 22008 Min: 10258 / Avg: 10313.33 / Max: 10374 Min: 51109 / Avg: 51416.67 / Max: 51666 Min: 12994 / Avg: 13122.67 / Max: 13271 Min: 32978 / Avg: 33553 / Max: 33990 Min: 25445 / Avg: 25541.67 / Max: 25619 Min: 33578 / Avg: 34775 / Max: 35376 Min: 27433 / Avg: 27813.67 / Max: 28275 Min: 37769 / Avg: 38642.33 / Max: 39350 Min: 20818 / Avg: 20889.67 / Max: 20975 Min: 11048 / Avg: 11114 / Max: 11155 Min: 11589 / Avg: 11724 / Max: 11829 Min: 15849 / Avg: 15990.33 / Max: 16082 Min: 34745 / Avg: 35209 / Max: 36107
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 59.77 65.48 66.49 65.80 67.09 65.33 66.30 68.88 66.71 56.46 65.78 56.33 67.11 69.79 64.48 68.20 68.80 64.87 68.52 65.51
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 Min: 59.7 / Avg: 59.77 / Max: 59.84 Min: 65.43 / Avg: 65.48 / Max: 65.55 Min: 66.43 / Avg: 66.49 / Max: 66.53 Min: 65.66 / Avg: 65.8 / Max: 65.9 Min: 66.86 / Avg: 67.09 / Max: 67.47 Min: 65.24 / Avg: 65.33 / Max: 65.41 Min: 66.23 / Avg: 66.29 / Max: 66.39 Min: 68.76 / Avg: 68.88 / Max: 68.99 Min: 66.65 / Avg: 66.71 / Max: 66.78 Min: 56.43 / Avg: 56.46 / Max: 56.49 Min: 65.72 / Avg: 65.78 / Max: 65.82 Min: 56.32 / Avg: 56.33 / Max: 56.35 Min: 67.01 / Avg: 67.11 / Max: 67.19 Min: 69.68 / Avg: 69.79 / Max: 69.87 Min: 64.41 / Avg: 64.48 / Max: 64.54 Min: 68.15 / Avg: 68.2 / Max: 68.25 Min: 68.7 / Avg: 68.8 / Max: 68.93 Min: 64.76 / Avg: 64.87 / Max: 64.93 Min: 68.35 / Avg: 68.52 / Max: 68.69 Min: 65.45 / Avg: 65.51 / Max: 65.56
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 17.48 19.28 19.62 19.34 19.52 19.27 19.55 20.21 19.53 16.58 19.28 16.53 19.57 20.50 19.00 20.15 20.25 18.95 20.20 19.26
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 SE +/- 0.26, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.23, N = 9 SE +/- 0.08, N = 3 SE +/- 0.53, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 13.27 13.00 11.27 12.20 10.49 16.39 21.73 44.18 11.68 37.26 15.53 18.38 13.44 19.10 13.30 24.06 44.90 40.63 31.18 13.63 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 13.22 / Avg: 13.27 / Max: 13.33 Min: 12.92 / Avg: 13 / Max: 13.06 Min: 11.23 / Avg: 11.27 / Max: 11.32 Min: 12.02 / Avg: 12.2 / Max: 12.33 Min: 10.41 / Avg: 10.49 / Max: 10.54 Min: 16.18 / Avg: 16.39 / Max: 16.58 Min: 21.66 / Avg: 21.73 / Max: 21.78 Min: 44.03 / Avg: 44.18 / Max: 44.44 Min: 11.37 / Avg: 11.68 / Max: 11.86 Min: 37.07 / Avg: 37.26 / Max: 37.62 Min: 15.06 / Avg: 15.53 / Max: 15.94 Min: 18.37 / Avg: 18.38 / Max: 18.39 Min: 13.3 / Avg: 13.44 / Max: 13.57 Min: 19.01 / Avg: 19.1 / Max: 19.25 Min: 13.11 / Avg: 13.3 / Max: 13.55 Min: 23.34 / Avg: 24.06 / Max: 25.71 Min: 44.78 / Avg: 44.9 / Max: 45.05 Min: 39.58 / Avg: 40.63 / Max: 41.24 Min: 30.87 / Avg: 31.18 / Max: 31.49 Min: 13.55 / Avg: 13.63 / Max: 13.74 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4M 8M 12M 16M 20M SE +/- 94521.27, N = 3 SE +/- 98762.81, N = 15 SE +/- 205768.32, N = 15 SE +/- 107878.70, N = 3 SE +/- 94951.48, N = 3 SE +/- 50217.68, N = 3 SE +/- 9769.89, N = 3 SE +/- 24650.01, N = 3 SE +/- 155445.81, N = 15 SE +/- 28186.41, N = 3 SE +/- 81230.48, N = 15 SE +/- 29716.88, N = 3 SE +/- 138168.08, N = 3 SE +/- 52003.80, N = 3 SE +/- 120996.14, N = 9 SE +/- 50833.87, N = 3 SE +/- 22526.16, N = 3 SE +/- 23350.93, N = 3 SE +/- 38644.74, N = 3 SE +/- 102325.96, N = 15 10203563.10 11286825.41 18566893.62 18405418.22 15626973.32 9536005.30 6603833.68 3005936.07 15435223.91 3819891.88 10457029.31 7756545.05 11066825.63 7892972.46 12327310.61 6096293.69 2970114.52 3316915.90 4389316.13 11355107.69 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3M 6M 9M 12M 15M Min: 10029895.8 / Avg: 10203563.1 / Max: 10355069.48 Min: 10644170.18 / Avg: 11286825.41 / Max: 11817686.65 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: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81 Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6 Min: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69 Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87 Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94 Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2 Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19 Min: 10790876.02 / Avg: 11066825.63 / Max: 11217454.01 Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81 Min: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45 Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41 Min: 2928072.83 / Avg: 2970114.52 / Max: 3005158.75 Min: 3279882.3 / Avg: 3316915.9 / Max: 3360073.76 Min: 4331161.98 / Avg: 4389316.13 / Max: 4462481.97 Min: 10680260.72 / Avg: 11355107.69 / Max: 11922794.08 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.6477 1.2954 1.9431 2.5908 3.2385 SE +/- 0.00081, N = 3 SE +/- 0.00056, N = 3 SE +/- 0.00064, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.00057, N = 3 SE +/- 0.00035, N = 3 SE +/- 0.00046, N = 3 SE +/- 0.00153, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.01056, N = 3 SE +/- 0.00089, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.00083, N = 3 SE +/- 0.00570, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00138, N = 3 SE +/- 0.00737, N = 3 SE +/- 0.00107, N = 3 0.85771 0.77595 0.49044 0.51892 0.57168 0.93786 1.34992 2.73186 0.57645 2.30072 0.85255 1.15425 0.79052 1.15092 0.71677 1.47205 2.87872 2.54937 1.94316 0.77627
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.77 / Avg: 0.78 / Max: 0.78 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: 0.94 / Avg: 0.94 / Max: 0.94 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 2.28 / Avg: 2.3 / Max: 2.32 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 1.47 / Avg: 1.47 / Max: 1.47 Min: 2.85 / Avg: 2.88 / Max: 2.89 Min: 2.55 / Avg: 2.55 / Max: 2.55 Min: 1.94 / Avg: 1.94 / Max: 1.96 Min: 0.77 / Avg: 0.78 / Max: 0.78
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.2422 2.4844 3.7266 4.9688 6.211 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 3.398 3.965 5.521 5.418 5.159 3.224 2.176 1.014 5.293 1.220 3.688 2.419 3.771 2.833 4.251 2.103 1.057 1.097 1.611 3.937
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 3.4 / Avg: 3.4 / Max: 3.4 Min: 3.96 / Avg: 3.97 / Max: 3.97 Min: 5.51 / Avg: 5.52 / Max: 5.53 Min: 5.42 / Avg: 5.42 / Max: 5.42 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 3.22 / Avg: 3.22 / Max: 3.23 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 1.01 / Avg: 1.01 / Max: 1.02 Min: 5.29 / Avg: 5.29 / Max: 5.31 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 2.41 / Avg: 2.42 / Max: 2.43 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 2.1 / Avg: 2.1 / Max: 2.11 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 3.93 / Avg: 3.94 / Max: 3.95
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.23, N = 3 SE +/- 0.21, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.73, N = 3 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.32, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 3 72.53 81.52 79.63 80.03 79.51 81.57 81.86 82.18 80.39 74.97 81.98 73.89 81.75 82.28 80.78 83.08 83.99 84.60 81.99 81.26
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16 32 48 64 80 Min: 72.07 / Avg: 72.53 / Max: 72.82 Min: 81.31 / Avg: 81.52 / Max: 81.94 Min: 79.24 / Avg: 79.63 / Max: 80.11 Min: 79.72 / Avg: 80.03 / Max: 80.26 Min: 79.03 / Avg: 79.51 / Max: 79.93 Min: 81.27 / Avg: 81.57 / Max: 81.78 Min: 81.69 / Avg: 81.86 / Max: 82.1 Min: 81.89 / Avg: 82.18 / Max: 82.56 Min: 80.14 / Avg: 80.39 / Max: 80.74 Min: 74.89 / Avg: 74.97 / Max: 75.09 Min: 81.13 / Avg: 81.98 / Max: 83.42 Min: 73.69 / Avg: 73.89 / Max: 74.1 Min: 81.37 / Avg: 81.75 / Max: 82.23 Min: 81.65 / Avg: 82.28 / Max: 82.63 Min: 80.56 / Avg: 80.78 / Max: 80.91 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 Min: 81.63 / Avg: 81.99 / Max: 82.45 Min: 81.19 / Avg: 81.26 / Max: 81.33
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.019, N = 3 SE +/- 0.007, N = 3 SE +/- 0.027, N = 3 SE +/- 0.032, N = 3 SE +/- 0.010, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.036, N = 3 SE +/- 0.011, N = 3 SE +/- 0.013, N = 3 SE +/- 0.010, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 7.099 8.031 9.418 9.237 8.690 6.826 4.589 2.124 8.884 2.578 7.641 5.089 7.549 5.991 8.374 4.482 2.256 2.343 3.422 7.828
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 7.08 / Avg: 7.1 / Max: 7.14 Min: 8.02 / Avg: 8.03 / Max: 8.04 Min: 9.38 / Avg: 9.42 / Max: 9.47 Min: 9.18 / Avg: 9.24 / Max: 9.28 Min: 8.67 / Avg: 8.69 / Max: 8.71 Min: 6.82 / Avg: 6.83 / Max: 6.84 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 2.12 / Avg: 2.12 / Max: 2.13 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 2.57 / Avg: 2.58 / Max: 2.59 Min: 7.59 / Avg: 7.64 / Max: 7.71 Min: 5.07 / Avg: 5.09 / Max: 5.11 Min: 7.53 / Avg: 7.55 / Max: 7.57 Min: 5.98 / Avg: 5.99 / Max: 6.01 Min: 8.35 / Avg: 8.37 / Max: 8.39 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 2.25 / Avg: 2.26 / Max: 2.26 Min: 2.33 / Avg: 2.34 / Max: 2.36 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 7.81 / Avg: 7.83 / Max: 7.85
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 14.41 15.89 16.15 15.97 16.15 15.89 16.13 16.63 16.15 13.78 15.88 13.66 16.15 16.94 15.67 16.66 16.83 15.67 16.76 15.90
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2M 4M 6M 8M 10M SE +/- 11731.10, N = 3 SE +/- 5897.86, N = 3 SE +/- 22170.26, N = 3 SE +/- 35636.88, N = 3 SE +/- 29508.17, N = 3 SE +/- 16048.71, N = 3 SE +/- 10558.02, N = 3 SE +/- 9486.66, N = 3 SE +/- 60894.61, N = 3 SE +/- 18877.88, N = 3 SE +/- 26369.03, N = 3 SE +/- 16794.20, N = 3 SE +/- 54967.27, N = 3 SE +/- 24151.11, N = 3 SE +/- 29761.67, N = 3 SE +/- 45029.31, N = 3 SE +/- 1671.95, N = 3 SE +/- 5354.73, N = 3 SE +/- 28091.78, N = 4 SE +/- 31783.53, N = 3 4270655 5195469 7904493 7860385 6670700 4269210 2856386 1349492 6949809 1518866 5078250 2919905 4999806 3871501 5472534 2878890 1423609 1416897 2181413 5183448 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.4M 2.8M 4.2M 5.6M 7M Min: 4247235 / Avg: 4270655 / Max: 4283583 Min: 5184385 / Avg: 5195468.67 / Max: 5204506 Min: 7865169 / Avg: 7904493 / Max: 7941897 Min: 7823749 / Avg: 7860384.67 / Max: 7931649 Min: 6631953 / Avg: 6670700.33 / Max: 6728625 Min: 4237623 / Avg: 4269210 / Max: 4289941 Min: 2838430 / Avg: 2856386 / Max: 2874987 Min: 1336295 / Avg: 1349492 / Max: 1367896 Min: 6888150 / Avg: 6949809 / Max: 7071595 Min: 1490063 / Avg: 1518866.33 / Max: 1554408 Min: 5049962 / Avg: 5078249.67 / Max: 5130940 Min: 2901038 / Avg: 2919904.67 / Max: 2953404 Min: 4910935 / Avg: 4999805.67 / Max: 5100283 Min: 3834057 / Avg: 3871500.67 / Max: 3916648 Min: 5416475 / Avg: 5472534 / Max: 5517893 Min: 2816724 / Avg: 2878890 / Max: 2966404 Min: 1420426 / Avg: 1423609 / Max: 1426088 Min: 1406942 / Avg: 1416897 / Max: 1425294 Min: 2146570 / Avg: 2181413 / Max: 2264616 Min: 5129861 / Avg: 5183447.67 / Max: 5239854 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50K 100K 150K 200K 250K SE +/- 199.04, N = 3 SE +/- 51.28, N = 3 SE +/- 79.43, N = 3 SE +/- 209.40, N = 3 SE +/- 79.18, N = 3 SE +/- 115.19, N = 3 SE +/- 29.76, N = 3 SE +/- 85.27, N = 3 SE +/- 80.59, N = 3 SE +/- 69.41, N = 3 SE +/- 113.63, N = 3 SE +/- 152.59, N = 3 SE +/- 39.76, N = 3 SE +/- 143.58, N = 3 SE +/- 47.46, N = 3 SE +/- 53.20, N = 3 SE +/- 136.62, N = 3 SE +/- 235.23, N = 3 SE +/- 38.16, N = 3 SE +/- 101.90, N = 3 89145.6 75779.3 57128.8 75223.6 66999.3 93759.8 124126.0 243111.0 70232.8 207979.0 81778.7 106967.0 82550.0 109217.0 71361.3 128772.0 253065.0 239371.0 177799.0 75772.2
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K Min: 88842 / Avg: 89145.63 / Max: 89520.4 Min: 75682.8 / Avg: 75779.33 / Max: 75857.6 Min: 56971.7 / Avg: 57128.77 / Max: 57227.9 Min: 74900.1 / Avg: 75223.6 / Max: 75615.7 Min: 66887.1 / Avg: 66999.33 / Max: 67152.2 Min: 93529.5 / Avg: 93759.83 / Max: 93879.1 Min: 124076 / Avg: 124126.33 / Max: 124179 Min: 242947 / Avg: 243110.67 / Max: 243234 Min: 70145.6 / Avg: 70232.8 / Max: 70393.8 Min: 207886 / Avg: 207979.33 / Max: 208115 Min: 81590.6 / Avg: 81778.7 / Max: 81983.2 Min: 106761 / Avg: 106967 / Max: 107265 Min: 82487 / Avg: 82549.97 / Max: 82623.5 Min: 108943 / Avg: 109217.33 / Max: 109428 Min: 71268.1 / Avg: 71361.3 / Max: 71423.5 Min: 128683 / Avg: 128772 / Max: 128867 Min: 252796 / Avg: 253065 / Max: 253241 Min: 239073 / Avg: 239370.67 / Max: 239835 Min: 177735 / Avg: 177799 / Max: 177867 Min: 75583.9 / Avg: 75772.17 / Max: 75933.9
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K SE +/- 124.60, N = 3 SE +/- 40.64, N = 3 SE +/- 56.13, N = 3 SE +/- 139.32, N = 3 SE +/- 76.67, N = 3 SE +/- 246.17, N = 3 SE +/- 98.40, N = 3 SE +/- 28.35, N = 3 SE +/- 55.04, N = 3 SE +/- 82.35, N = 3 SE +/- 134.69, N = 3 SE +/- 125.94, N = 3 SE +/- 121.23, N = 3 SE +/- 93.48, N = 3 SE +/- 125.75, N = 3 SE +/- 105.24, N = 3 SE +/- 126.18, N = 3 SE +/- 331.41, N = 3 SE +/- 51.29, N = 3 SE +/- 5.65, N = 3 60900.5 47938.6 38559.7 48294.1 48548.3 63770.3 82153.3 164541.0 51905.1 141836.0 51794.5 69915.6 51690.4 76578.7 44940.0 85334.2 174503.0 163904.0 122845.0 47944.5
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 60677.9 / Avg: 60900.53 / Max: 61108.8 Min: 47857.4 / Avg: 47938.63 / Max: 47981.5 Min: 38450.4 / Avg: 38559.7 / Max: 38636.5 Min: 48081.2 / Avg: 48294.07 / Max: 48556.2 Min: 48399.1 / Avg: 48548.33 / Max: 48653.5 Min: 63346.4 / Avg: 63770.3 / Max: 64199.1 Min: 82040.7 / Avg: 82153.33 / Max: 82349.4 Min: 164487 / Avg: 164541 / Max: 164583 Min: 51828.7 / Avg: 51905.07 / Max: 52011.9 Min: 141751 / Avg: 141836.33 / Max: 142001 Min: 51558.9 / Avg: 51794.53 / Max: 52025.4 Min: 69746.7 / Avg: 69915.63 / Max: 70161.9 Min: 51472.8 / Avg: 51690.43 / Max: 51891.8 Min: 76447.6 / Avg: 76578.73 / Max: 76759.7 Min: 44691.4 / Avg: 44939.97 / Max: 45097.4 Min: 85157.5 / Avg: 85334.2 / Max: 85521.6 Min: 174332 / Avg: 174502.67 / Max: 174749 Min: 163345 / Avg: 163904.33 / Max: 164492 Min: 122779 / Avg: 122845 / Max: 122946 Min: 47933.7 / Avg: 47944.47 / Max: 47952.8
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K SE +/- 76.57, N = 3 SE +/- 22.72, N = 3 SE +/- 64.61, N = 3 SE +/- 138.57, N = 3 SE +/- 94.61, N = 3 SE +/- 233.89, N = 3 SE +/- 74.39, N = 3 SE +/- 17.29, N = 3 SE +/- 35.66, N = 3 SE +/- 145.83, N = 3 SE +/- 122.28, N = 3 SE +/- 89.89, N = 3 SE +/- 133.33, N = 3 SE +/- 79.13, N = 3 SE +/- 23.48, N = 3 SE +/- 28.02, N = 3 SE +/- 384.36, N = 3 SE +/- 319.47, N = 3 SE +/- 28.32, N = 3 SE +/- 62.14, N = 3 59952.8 47163.9 37901.1 46464.0 47246.1 62532.0 80410.4 161011.0 50064.0 139149.0 51004.7 68647.0 50965.7 75486.4 44046.0 84104.2 171635.0 160652.0 120293.0 47132.4
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 59823.5 / Avg: 59952.77 / Max: 60088.5 Min: 47120.1 / Avg: 47163.93 / Max: 47196.2 Min: 37813.3 / Avg: 37901.1 / Max: 38027.1 Min: 46220.9 / Avg: 46464.03 / Max: 46700.8 Min: 47060.9 / Avg: 47246.07 / Max: 47372.4 Min: 62071.6 / Avg: 62532.03 / Max: 62833.8 Min: 80332.6 / Avg: 80410.37 / Max: 80559.1 Min: 160990 / Avg: 161010.67 / Max: 161045 Min: 49993.7 / Avg: 50063.97 / Max: 50109.7 Min: 138882 / Avg: 139149.33 / Max: 139384 Min: 50760.8 / Avg: 51004.7 / Max: 51142.1 Min: 68468.5 / Avg: 68647 / Max: 68754.8 Min: 50767.5 / Avg: 50965.7 / Max: 51219.3 Min: 75371.5 / Avg: 75486.4 / Max: 75638.1 Min: 44006.7 / Avg: 44046 / Max: 44087.9 Min: 84048.5 / Avg: 84104.23 / Max: 84137.2 Min: 170868 / Avg: 171635 / Max: 172063 Min: 160061 / Avg: 160651.67 / Max: 161158 Min: 120245 / Avg: 120292.67 / Max: 120343 Min: 47008.3 / Avg: 47132.37 / Max: 47200.6
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 55.37 60.30 61.64 60.56 61.60 60.60 61.77 64.55 61.21 53.05 60.52 52.99 61.53 64.22 59.68 62.97 63.31 60.39 63.00 60.73 1. git version 2.27.0
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 Min: 55.16 / Avg: 55.37 / Max: 55.55 Min: 60.19 / Avg: 60.3 / Max: 60.4 Min: 61.63 / Avg: 61.64 / Max: 61.67 Min: 60.52 / Avg: 60.56 / Max: 60.62 Min: 61.36 / Avg: 61.6 / Max: 61.77 Min: 60.49 / Avg: 60.6 / Max: 60.69 Min: 61.7 / Avg: 61.77 / Max: 61.88 Min: 64.46 / Avg: 64.55 / Max: 64.65 Min: 61.13 / Avg: 61.21 / Max: 61.26 Min: 53.01 / Avg: 53.05 / Max: 53.11 Min: 60.5 / Avg: 60.52 / Max: 60.55 Min: 52.87 / Avg: 52.99 / Max: 53.12 Min: 61.41 / Avg: 61.53 / Max: 61.67 Min: 64.09 / Avg: 64.22 / Max: 64.35 Min: 59.54 / Avg: 59.68 / Max: 59.81 Min: 62.89 / Avg: 62.97 / Max: 63.03 Min: 63 / Avg: 63.31 / Max: 63.81 Min: 60.34 / Avg: 60.39 / Max: 60.45 Min: 62.84 / Avg: 63 / Max: 63.14 Min: 60.63 / Avg: 60.73 / Max: 60.78 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, 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 0.81 0.83 1.04 1.17 1.02 0.88 0.88 0.90 0.97 0.79 0.91 0.80 0.95 0.98 0.77 0.79 0.85 0.86 0.88 0.82 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.82 / Avg: 0.83 / Max: 0.83 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.16 / Avg: 1.17 / Max: 1.17 Min: 1.01 / Avg: 1.02 / Max: 1.02 Min: 0.87 / Avg: 0.88 / Max: 0.89 Min: 0.88 / Avg: 0.88 / Max: 0.88 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.91 / Avg: 0.91 / Max: 0.92 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.76 / Avg: 0.77 / Max: 0.77 Min: 0.79 / Avg: 0.79 / Max: 0.8 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: 0.82 / Avg: 0.82 / Max: 0.82 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K SE +/- 29.68, N = 3 SE +/- 95.18, N = 3 SE +/- 124.62, N = 3 SE +/- 21.64, N = 3 SE +/- 48.36, N = 3 SE +/- 94.67, N = 3 SE +/- 24.93, N = 3 SE +/- 6.39, N = 3 SE +/- 69.23, N = 3 SE +/- 1.21, N = 3 SE +/- 61.19, N = 3 SE +/- 8.85, N = 3 SE +/- 3.90, N = 3 SE +/- 7.81, N = 3 SE +/- 105.19, N = 3 SE +/- 47.23, N = 3 SE +/- 5.11, N = 3 SE +/- 3.95, N = 3 SE +/- 8.61, N = 3 SE +/- 33.89, N = 3 14247.65 18803.44 29367.21 26400.82 22849.66 13173.76 8690.07 4161.93 24039.13 4791.20 16765.72 9658.17 16165.30 11890.05 20072.56 9634.72 4461.19 4377.26 6553.65 18654.33 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K Min: 14196.17 / Avg: 14247.65 / Max: 14299 Min: 18695.04 / Avg: 18803.44 / Max: 18993.16 Min: 29117.97 / Avg: 29367.21 / Max: 29493.71 Min: 26376.32 / Avg: 26400.82 / Max: 26443.96 Min: 22764.7 / Avg: 22849.66 / Max: 22932.16 Min: 12985.33 / Avg: 13173.76 / Max: 13284.11 Min: 8640.29 / Avg: 8690.07 / Max: 8717.28 Min: 4152.56 / Avg: 4161.93 / Max: 4174.13 Min: 23957.88 / Avg: 24039.13 / Max: 24176.84 Min: 4788.78 / Avg: 4791.2 / Max: 4792.51 Min: 16649.67 / Avg: 16765.72 / Max: 16857.38 Min: 9642.33 / Avg: 9658.17 / Max: 9672.92 Min: 16158.84 / Avg: 16165.3 / Max: 16172.32 Min: 11875.61 / Avg: 11890.05 / Max: 11902.45 Min: 19928.28 / Avg: 20072.56 / Max: 20277.29 Min: 9543.58 / Avg: 9634.72 / Max: 9701.76 Min: 4453.13 / Avg: 4461.19 / Max: 4470.66 Min: 4372.44 / Avg: 4377.26 / Max: 4385.09 Min: 6542.06 / Avg: 6553.65 / Max: 6570.47 Min: 18617.18 / Avg: 18654.33 / Max: 18722.01 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.2633 0.5266 0.7899 1.0532 1.3165 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.81 0.82 1.04 1.17 1.02 0.87 0.86 0.90 0.98 0.79 0.91 0.80 0.96 0.98 0.76 0.79 0.85 0.86 0.88 0.82 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.81 / Avg: 0.81 / Max: 0.82 Min: 0.81 / Avg: 0.82 / Max: 0.82 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 1.17 / Avg: 1.17 / Max: 1.17 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.89 / Avg: 0.9 / Max: 0.91 Min: 0.97 / Avg: 0.98 / Max: 0.98 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.91 / Avg: 0.91 / Max: 0.91 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.95 / Avg: 0.96 / Max: 0.96 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.76 / Avg: 0.76 / Max: 0.77 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: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.82 / Avg: 0.82 / Max: 0.83 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: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K SE +/- 24.25, N = 3 SE +/- 61.05, N = 3 SE +/- 183.24, N = 3 SE +/- 20.84, N = 3 SE +/- 14.24, N = 3 SE +/- 17.40, N = 3 SE +/- 13.64, N = 3 SE +/- 37.46, N = 3 SE +/- 56.63, N = 3 SE +/- 6.67, N = 3 SE +/- 16.15, N = 3 SE +/- 0.93, N = 3 SE +/- 22.13, N = 3 SE +/- 13.62, N = 3 SE +/- 54.92, N = 3 SE +/- 13.09, N = 3 SE +/- 6.17, N = 3 SE +/- 0.82, N = 3 SE +/- 5.52, N = 3 SE +/- 107.37, N = 3 14162.60 19121.22 29381.07 26399.13 22787.21 13267.26 8843.63 4157.14 23914.70 4813.33 16906.29 9632.78 16112.28 11838.88 20075.53 9710.46 4463.04 4376.88 6551.42 18723.61 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K Min: 14134.41 / Avg: 14162.6 / Max: 14210.87 Min: 19019.2 / Avg: 19121.22 / Max: 19230.34 Min: 29139.87 / Avg: 29381.07 / Max: 29740.62 Min: 26362.89 / Avg: 26399.13 / Max: 26435.08 Min: 22765.93 / Avg: 22787.21 / Max: 22814.23 Min: 13243.23 / Avg: 13267.26 / Max: 13301.06 Min: 8816.35 / Avg: 8843.63 / Max: 8857.35 Min: 4085.57 / Avg: 4157.14 / Max: 4212.12 Min: 23815.23 / Avg: 23914.7 / Max: 24011.34 Min: 4800.61 / Avg: 4813.33 / Max: 4823.16 Min: 16874.31 / Avg: 16906.29 / Max: 16926.14 Min: 9631.57 / Avg: 9632.78 / Max: 9634.61 Min: 16069.26 / Avg: 16112.28 / Max: 16142.81 Min: 11812.28 / Avg: 11838.88 / Max: 11857.28 Min: 19967.16 / Avg: 20075.53 / Max: 20145.19 Min: 9685.99 / Avg: 9710.46 / Max: 9730.76 Min: 4452.92 / Avg: 4463.04 / Max: 4474.2 Min: 4375.53 / Avg: 4376.88 / Max: 4378.35 Min: 6541.02 / Avg: 6551.42 / Max: 6559.83 Min: 18509.29 / Avg: 18723.61 / Max: 18842.47 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K SE +/- 115.80, N = 3 SE +/- 187.85, N = 3 SE +/- 168.25, N = 3 SE +/- 196.12, N = 3 SE +/- 219.56, N = 3 SE +/- 354.28, N = 3 SE +/- 157.79, N = 3 SE +/- 139.20, N = 3 SE +/- 320.60, N = 3 SE +/- 103.64, N = 3 SE +/- 158.35, N = 3 SE +/- 531.97, N = 3 SE +/- 165.04, N = 3 SE +/- 255.82, N = 3 SE +/- 41.05, N = 3 SE +/- 82.24, N = 3 SE +/- 284.64, N = 3 SE +/- 51.41, N = 3 SE +/- 246.26, N = 3 SE +/- 41.97, N = 3 155900 148225 197631 201155 159162 126717 93454 59491 160177 79963 146157 134174 131671 117512 148700 109127 59153 59225 88107 138345 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 155770 / Avg: 155900 / Max: 156131 Min: 147909 / Avg: 148225 / Max: 148559 Min: 197331 / Avg: 197631 / Max: 197913 Min: 200793 / Avg: 201154.67 / Max: 201467 Min: 158791 / Avg: 159162.33 / Max: 159551 Min: 126014 / Avg: 126716.67 / Max: 127147 Min: 93197 / Avg: 93453.67 / Max: 93741 Min: 59213 / Avg: 59491.33 / Max: 59636 Min: 159540 / Avg: 160177 / Max: 160559 Min: 79785 / Avg: 79963.33 / Max: 80144 Min: 145843 / Avg: 146157.33 / Max: 146348 Min: 133400 / Avg: 134173.67 / Max: 135193 Min: 131343 / Avg: 131671 / Max: 131867 Min: 117108 / Avg: 117512.33 / Max: 117986 Min: 148644 / Avg: 148700 / Max: 148780 Min: 108974 / Avg: 109126.67 / Max: 109256 Min: 58585 / Avg: 59153 / Max: 59470 Min: 59125 / Avg: 59225.33 / Max: 59295 Min: 87677 / Avg: 88106.67 / Max: 88530 Min: 138265 / Avg: 138345 / Max: 138407 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16 32 48 64 80 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 51.41 53.80 58.36 60.13 58.14 54.62 58.83 72.49 56.78 61.05 54.97 52.86 57.27 59.36 52.82 59.93 72.47 69.76 62.98 53.72 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 Min: 51.38 / Avg: 51.41 / Max: 51.43 Min: 53.76 / Avg: 53.8 / Max: 53.82 Min: 58.17 / Avg: 58.36 / Max: 58.51 Min: 59.99 / Avg: 60.13 / Max: 60.38 Min: 58.06 / Avg: 58.14 / Max: 58.22 Min: 54.56 / Avg: 54.62 / Max: 54.71 Min: 58.72 / Avg: 58.83 / Max: 58.96 Min: 72.37 / Avg: 72.49 / Max: 72.65 Min: 56.67 / Avg: 56.78 / Max: 56.91 Min: 61.02 / Avg: 61.05 / Max: 61.08 Min: 54.91 / Avg: 54.97 / Max: 55.02 Min: 52.74 / Avg: 52.86 / Max: 53.01 Min: 57.1 / Avg: 57.27 / Max: 57.49 Min: 59.28 / Avg: 59.36 / Max: 59.51 Min: 52.64 / Avg: 52.82 / Max: 52.94 Min: 59.8 / Avg: 59.93 / Max: 60.03 Min: 72.43 / Avg: 72.47 / Max: 72.51 Min: 69.64 / Avg: 69.76 / Max: 69.97 Min: 62.92 / Avg: 62.98 / Max: 63.01 Min: 53.63 / Avg: 53.72 / Max: 53.77 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900K 1800K 2700K 3600K 4500K SE +/- 3179.80, N = 3 SE +/- 6437.74, N = 3 SE +/- 12490.00, N = 3 SE +/- 10503.97, N = 3 SE +/- 3055.05, N = 3 SE +/- 2645.75, N = 3 SE +/- 4630.81, N = 3 SE +/- 1479.80, N = 3 SE +/- 17776.39, N = 3 SE +/- 5929.17, N = 3 SE +/- 5811.87, N = 3 SE +/- 2403.70, N = 3 SE +/- 9504.38, N = 3 SE +/- 4630.81, N = 3 SE +/- 7218.80, N = 3 SE +/- 1989.22, N = 3 SE +/- 1052.26, N = 3 SE +/- 2590.75, N = 3 SE +/- 4932.88, N = 3 2311333 2579667 4116000 3723000 3528000 2121000 1454667 720571 3511000 806656 2361667 1700333 2510000 1709333 2779333 1356000 664064 757145 995857 2588000 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700K 1400K 2100K 2800K 3500K Min: 2306000 / Avg: 2311333.33 / Max: 2317000 Min: 2567000 / Avg: 2579666.67 / Max: 2588000 Min: 4098000 / Avg: 4116000 / Max: 4140000 Min: 3702000 / Avg: 3723000 / Max: 3734000 Min: 3522000 / Avg: 3528000 / Max: 3532000 Min: 2116000 / Avg: 2121000 / Max: 2125000 Min: 1447000 / Avg: 1454666.67 / Max: 1463000 Min: 717619 / Avg: 720571.33 / Max: 722227 Min: 3485000 / Avg: 3511000 / Max: 3545000 Min: 795187 / Avg: 806655.67 / Max: 815001 Min: 2351000 / Avg: 2361666.67 / Max: 2371000 Min: 1697000 / Avg: 1700333.33 / Max: 1705000 Min: 2500000 / Avg: 2510000 / Max: 2529000 Min: 1701000 / Avg: 1709333.33 / Max: 1717000 Min: 2765000 / Avg: 2779333.33 / Max: 2788000 Min: 661401 / Avg: 664063.67 / Max: 667955 Min: 755046 / Avg: 757145.33 / Max: 758323 Min: 990720 / Avg: 995856.67 / Max: 999014 Min: 2580000 / Avg: 2588000 / Max: 2597000 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140 280 420 560 700 SE +/- 0.88, N = 3 SE +/- 1.00, N = 3 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 SE +/- 1.53, N = 3 SE +/- 1.45, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 1.15, N = 3 492 545 648 632 588 471 382 214 603 251 507 419 497 432 539 356 212 225 294 548 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110 220 330 440 550 Min: 490 / Avg: 491.67 / Max: 493 Min: 543 / Avg: 545 / Max: 546 Min: 645 / Avg: 647.67 / Max: 651 Min: 630 / Avg: 631.67 / Max: 634 Min: 469 / Avg: 471 / Max: 474 Min: 601 / Avg: 603.33 / Max: 606 Min: 418 / Avg: 418.67 / Max: 419 Min: 496 / Avg: 497.33 / Max: 498 Min: 431 / Avg: 432 / Max: 433 Min: 538 / Avg: 539.33 / Max: 540 Min: 211 / Avg: 211.67 / Max: 212 Min: 224 / Avg: 225.33 / Max: 226 Min: 293 / Avg: 293.67 / Max: 294 Min: 546 / Avg: 548 / Max: 550 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 0.58, N = 3 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 +/- 0.33, N = 3 SE +/- 0.33, N = 3 513 582 864 820 756 471 332 165 732 196 532 384 554 415 601 315 162 174 240 570 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 150 300 450 600 750 Min: 512 / Avg: 513 / Max: 514 Min: 862 / Avg: 863.67 / Max: 865 Min: 819 / Avg: 820 / Max: 821 Min: 755 / Avg: 756 / Max: 757 Min: 196 / Avg: 196.33 / Max: 197 Min: 530 / Avg: 531.67 / Max: 533 Min: 554 / Avg: 554.33 / Max: 555 Min: 415 / Avg: 415.33 / Max: 416 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 SE +/- 4.58, N = 3 SE +/- 1.86, N = 3 SE +/- 2.03, N = 3 SE +/- 1.76, N = 3 SE +/- 2.65, N = 3 SE +/- 1.20, N = 3 SE +/- 1.00, N = 3 SE +/- 0.58, N = 3 SE +/- 1.33, N = 3 SE +/- 1.00, N = 3 SE +/- 2.08, N = 3 SE +/- 1.20, N = 3 SE +/- 1.53, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 2.08, N = 3 1129 1268 1666 1622 1525 1024 796 391 1442 480 1127 898 1165 909 1246 724 406 431 577 1195 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1123 / Avg: 1129 / Max: 1138 Min: 1264 / Avg: 1267.67 / Max: 1270 Min: 1662 / Avg: 1665.67 / Max: 1669 Min: 1619 / Avg: 1621.67 / Max: 1625 Min: 1520 / Avg: 1525 / Max: 1529 Min: 1022 / Avg: 1024.33 / Max: 1026 Min: 794 / Avg: 796 / Max: 797 Min: 390 / Avg: 391 / Max: 392 Min: 1441 / Avg: 1442.33 / Max: 1445 Min: 478 / Avg: 480 / Max: 481 Min: 894 / Avg: 898 / Max: 901 Min: 1163 / Avg: 1164.67 / Max: 1167 Min: 906 / Avg: 909 / Max: 911 Min: 1246 / Avg: 1246.33 / Max: 1247 Min: 723 / Avg: 723.67 / Max: 724 Min: 405 / Avg: 405.67 / Max: 407 Min: 1191 / Avg: 1195 / Max: 1198 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 6.36, N = 3 SE +/- 2.89, N = 3 SE +/- 6.08, N = 3 SE +/- 3.51, N = 3 SE +/- 3.06, N = 3 SE +/- 1.86, N = 3 SE +/- 7.84, N = 3 SE +/- 1.73, N = 3 SE +/- 4.37, N = 3 SE +/- 0.88, N = 3 SE +/- 5.51, N = 3 SE +/- 1.53, N = 3 SE +/- 0.67, N = 3 SE +/- 1.20, N = 3 SE +/- 5.20, N = 3 1142 1264 1211 1138 1177 1150 1140 831 1139 897 1165 1112 1111 1002 1204 1045 800 853 908 1203 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 1129 / Avg: 1141.67 / Max: 1149 Min: 1259 / Avg: 1264 / Max: 1269 Min: 1200 / Avg: 1211 / Max: 1221 Min: 1131 / Avg: 1138 / Max: 1142 Min: 1171 / Avg: 1177 / Max: 1181 Min: 1136 / Avg: 1139.67 / Max: 1142 Min: 1131 / Avg: 1139.33 / Max: 1155 Min: 894 / Avg: 897 / Max: 900 Min: 1156 / Avg: 1164.67 / Max: 1170 Min: 1110 / Avg: 1111.67 / Max: 1113 Min: 1101 / Avg: 1111 / Max: 1120 Min: 1202 / Avg: 1204 / Max: 1207 Min: 1044 / Avg: 1044.67 / Max: 1046 Min: 906 / Avg: 908.33 / Max: 910 Min: 1194 / Avg: 1203 / Max: 1212 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1300 2600 3900 5200 6500 SE +/- 243.60, N = 3 SE +/- 1.06, N = 3 SE +/- 0.69, N = 3 SE +/- 100.04, N = 3 SE +/- 2.61, N = 3 SE +/- 27.55, N = 3 SE +/- 6.65, N = 3 SE +/- 1.17, N = 5 SE +/- 6.88, N = 3 SE +/- 55.69, N = 15 SE +/- 3.67, N = 3 SE +/- 19.79, N = 3 SE +/- 249.68, N = 3 SE +/- 95.82, N = 15 SE +/- 1.06, N = 3 SE +/- 6.65, N = 3 SE +/- 2.09, N = 3 SE +/- 48.28, N = 15 SE +/- 79.31, N = 15 SE +/- 3.82, N = 3 5630.66 5206.88 5936.73 5703.97 6148.31 5282.86 4953.62 2501.23 5767.29 2815.25 5201.59 6042.82 5841.65 4616.84 5205.82 2890.84 2586.06 2748.41 2675.68 5205.83 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 Min: 5311.84 / Avg: 5630.66 / Max: 6109.12 Min: 5204.76 / Avg: 5206.88 / Max: 5207.94 Min: 5935.35 / Avg: 5936.73 / Max: 5937.42 Min: 5504 / Avg: 5703.97 / Max: 5809.88 Min: 6144.37 / Avg: 6148.31 / Max: 6153.24 Min: 5229.25 / Avg: 5282.86 / Max: 5320.69 Min: 4942.11 / Avg: 4953.62 / Max: 4965.15 Min: 2497.13 / Avg: 2501.23 / Max: 2502.99 Min: 5754.29 / Avg: 5767.29 / Max: 5777.71 Min: 2409.56 / Avg: 2815.25 / Max: 3247.02 Min: 5195.24 / Avg: 5201.59 / Max: 5207.94 Min: 6008.6 / Avg: 6042.82 / Max: 6077.17 Min: 5372.13 / Avg: 5841.65 / Max: 6223.66 Min: 3942.1 / Avg: 4616.84 / Max: 5224.97 Min: 5204.76 / Avg: 5205.82 / Max: 5207.94 Min: 2882.34 / Avg: 2890.84 / Max: 2903.95 Min: 2581.88 / Avg: 2586.06 / Max: 2588.15 Min: 2415.02 / Avg: 2748.41 / Max: 3069.23 Min: 2076.07 / Avg: 2675.68 / Max: 2901.97 Min: 5198.41 / Avg: 5205.83 / Max: 5211.13 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 SE +/- 0.00, N = 3 SE +/- 0.54, N = 3 SE +/- 5.99, N = 3 SE +/- 15.31, N = 3 SE +/- 3.26, N = 3 SE +/- 7.59, N = 3 SE +/- 38.78, N = 3 SE +/- 31.33, N = 5 SE +/- 0.85, N = 3 SE +/- 37.28, N = 15 SE +/- 0.54, N = 3 SE +/- 12.56, N = 3 SE +/- 28.28, N = 3 SE +/- 28.11, N = 15 SE +/- 2.17, N = 3 SE +/- 3.21, N = 3 SE +/- 11.13, N = 3 SE +/- 67.60, N = 15 SE +/- 30.67, N = 15 SE +/- 1.96, N = 3 4465.51 3724.95 4522.41 4420.44 4533.09 3845.65 4014.66 2379.01 4345.56 3174.57 3722.77 5134.77 4424.90 3504.37 3724.95 2431.57 2330.58 3091.42 2265.27 3726.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900 1800 2700 3600 4500 Min: 4465.51 / Avg: 4465.51 / Max: 4465.51 Min: 3723.86 / Avg: 3724.95 / Max: 3725.49 Min: 4510.42 / Avg: 4522.41 / Max: 4528.4 Min: 4399.79 / Avg: 4420.44 / Max: 4450.35 Min: 4527.2 / Avg: 4533.09 / Max: 4538.45 Min: 3831.02 / Avg: 3845.65 / Max: 3856.45 Min: 3937.24 / Avg: 4014.66 / Max: 4057.23 Min: 2254.02 / Avg: 2379.01 / Max: 2415.02 Min: 4344.08 / Avg: 4345.56 / Max: 4347.04 Min: 2821.26 / Avg: 3174.57 / Max: 3365 Min: 3722.23 / Avg: 3722.77 / Max: 3723.86 Min: 5114.16 / Avg: 5134.77 / Max: 5157.5 Min: 4385.07 / Avg: 4424.9 / Max: 4479.6 Min: 3304.11 / Avg: 3504.37 / Max: 3672.5 Min: 3720.61 / Avg: 3724.95 / Max: 3727.12 Min: 2426.02 / Avg: 2431.57 / Max: 2437.13 Min: 2312.76 / Avg: 2330.58 / Max: 2351.05 Min: 2488.37 / Avg: 3091.42 / Max: 3413.54 Min: 2038.97 / Avg: 2265.27 / Max: 2480.65 Min: 3722.23 / Avg: 3726.03 / Max: 3728.75 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 SE +/- 0.42, N = 3 SE +/- 0.02, N = 3 49.59 53.31 53.59 53.05 53.82 53.71 55.60 63.21 53.66 53.75 53.51 47.99 54.66 57.36 52.45 56.98 64.23 60.37 59.55 53.24 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 Min: 49.5 / Avg: 49.58 / Max: 49.74 Min: 53.31 / Avg: 53.31 / Max: 53.31 Min: 53.57 / Avg: 53.59 / Max: 53.6 Min: 53 / Avg: 53.05 / Max: 53.13 Min: 53.73 / Avg: 53.82 / Max: 53.89 Min: 53.63 / Avg: 53.71 / Max: 53.83 Min: 55.5 / Avg: 55.6 / Max: 55.71 Min: 63.19 / Avg: 63.21 / Max: 63.22 Min: 53.59 / Avg: 53.66 / Max: 53.7 Min: 53.37 / Avg: 53.75 / Max: 54.01 Min: 53.47 / Avg: 53.51 / Max: 53.54 Min: 47.94 / Avg: 47.99 / Max: 48.03 Min: 54.49 / Avg: 54.65 / Max: 54.84 Min: 57.2 / Avg: 57.36 / Max: 57.55 Min: 52.38 / Avg: 52.45 / Max: 52.56 Min: 56.93 / Avg: 56.98 / Max: 57.02 Min: 64.18 / Avg: 64.23 / Max: 64.32 Min: 59.95 / Avg: 60.37 / Max: 60.88 Min: 59.1 / Avg: 59.55 / Max: 60.39 Min: 53.2 / Avg: 53.24 / Max: 53.27 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 SE +/- 24.66, N = 3 SE +/- 36.29, N = 3 SE +/- 47.30, N = 3 SE +/- 30.93, N = 3 SE +/- 8.14, N = 3 SE +/- 53.48, N = 3 SE +/- 1.33, N = 3 SE +/- 42.15, N = 3 SE +/- 35.10, N = 3 SE +/- 62.95, N = 3 SE +/- 32.77, N = 15 SE +/- 4.04, N = 3 SE +/- 33.29, N = 15 SE +/- 44.07, N = 4 SE +/- 24.85, N = 3 SE +/- 33.02, N = 15 SE +/- 16.76, N = 3 SE +/- 24.73, N = 15 SE +/- 63.07, N = 3 SE +/- 43.70, N = 15 5448 5226 4719 4887 4937 4014 5135 2850 3762 4515 4000 5661 3003 2971 4350 3359 4806 2839 4078 4316 1. Nodejs
v12.18.2
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 Min: 5415 / Avg: 5447.67 / Max: 5496 Min: 5160 / Avg: 5226.33 / Max: 5285 Min: 4633 / Avg: 4719.33 / Max: 4796 Min: 4849 / Avg: 4886.67 / Max: 4948 Min: 4924 / Avg: 4937 / Max: 4952 Min: 3933 / Avg: 4014 / Max: 4115 Min: 5134 / Avg: 5135.33 / Max: 5138 Min: 2767 / Avg: 2850.33 / Max: 2903 Min: 3698 / Avg: 3762 / Max: 3819 Min: 4404 / Avg: 4514.67 / Max: 4622 Min: 3662 / Avg: 4000 / Max: 4169 Min: 5656 / Avg: 5661 / Max: 5669 Min: 2748 / Avg: 3002.73 / Max: 3153 Min: 2858 / Avg: 2971.25 / Max: 3059 Min: 4306 / Avg: 4350 / Max: 4392 Min: 3068 / Avg: 3359.4 / Max: 3589 Min: 4786 / Avg: 4805.67 / Max: 4839 Min: 2724 / Avg: 2839 / Max: 3060 Min: 3996 / Avg: 4078 / Max: 4202 Min: 3849 / Avg: 4316.33 / Max: 4532 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.01, 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 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 45.82 48.84 46.18 45.96 46.95 50.64 56.04 79.22 47.22 63.45 49.82 47.86 49.59 54.65 47.62 58.62 76.74 72.31 64.67 48.93
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 Min: 45.8 / Avg: 45.82 / Max: 45.84 Min: 48.79 / Avg: 48.84 / Max: 48.9 Min: 46.1 / Avg: 46.18 / Max: 46.3 Min: 45.86 / Avg: 45.96 / Max: 46.04 Min: 46.91 / Avg: 46.95 / Max: 47 Min: 50.54 / Avg: 50.64 / Max: 50.72 Min: 55.96 / Avg: 56.04 / Max: 56.12 Min: 79.14 / Avg: 79.22 / Max: 79.35 Min: 47.14 / Avg: 47.22 / Max: 47.29 Min: 63.31 / Avg: 63.45 / Max: 63.6 Min: 49.8 / Avg: 49.82 / Max: 49.86 Min: 47.82 / Avg: 47.86 / Max: 47.88 Min: 49.5 / Avg: 49.59 / Max: 49.74 Min: 54.53 / Avg: 54.65 / Max: 54.82 Min: 47.6 / Avg: 47.62 / Max: 47.65 Min: 58.53 / Avg: 58.62 / Max: 58.68 Min: 76.36 / Avg: 76.74 / Max: 77.12 Min: 71.93 / Avg: 72.31 / Max: 72.57 Min: 64.6 / Avg: 64.67 / Max: 64.79 Min: 48.79 / Avg: 48.93 / Max: 49.03
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.24, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.41, N = 3 SE +/- 0.26, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.38, N = 3 SE +/- 0.31, N = 3 SE +/- 0.19, N = 3 SE +/- 0.42, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 49.73 53.39 54.66 55.13 55.29 53.10 54.45 60.57 54.53 52.94 53.72 50.68 54.94 56.73 52.42 55.77 60.35 59.17 56.65 53.43
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 Min: 49.54 / Avg: 49.72 / Max: 49.93 Min: 52.95 / Avg: 53.39 / Max: 53.77 Min: 54.28 / Avg: 54.66 / Max: 55.14 Min: 54.84 / Avg: 55.13 / Max: 55.35 Min: 54.64 / Avg: 55.28 / Max: 56.05 Min: 52.78 / Avg: 53.1 / Max: 53.6 Min: 54.04 / Avg: 54.45 / Max: 54.69 Min: 60.08 / Avg: 60.57 / Max: 60.83 Min: 54.34 / Avg: 54.53 / Max: 54.81 Min: 52.48 / Avg: 52.94 / Max: 53.18 Min: 53.08 / Avg: 53.72 / Max: 54.09 Min: 50.42 / Avg: 50.68 / Max: 50.83 Min: 54.17 / Avg: 54.94 / Max: 55.32 Min: 56.18 / Avg: 56.73 / Max: 57.24 Min: 52.04 / Avg: 52.42 / Max: 52.67 Min: 55.26 / Avg: 55.77 / Max: 56.6 Min: 60.05 / Avg: 60.35 / Max: 60.87 Min: 59.05 / Avg: 59.17 / Max: 59.24 Min: 56.37 / Avg: 56.65 / Max: 57.07 Min: 52.7 / Avg: 53.43 / Max: 54.09
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14K 28K 42K 56K 70K SE +/- 490.90, N = 14 SE +/- 241.08, N = 3 SE +/- 60.18, N = 3 SE +/- 176.57, N = 3 SE +/- 321.18, N = 3 SE +/- 1239.94, N = 15 SE +/- 275.30, N = 3 SE +/- 71.48, N = 3 SE +/- 468.99, N = 15 SE +/- 239.10, N = 3 SE +/- 920.22, N = 4 SE +/- 229.75, N = 3 SE +/- 341.83, N = 3 SE +/- 1348.73, N = 15 SE +/- 437.03, N = 3 SE +/- 152.36, N = 3 SE +/- 133.20, N = 3 SE +/- 91.74, N = 3 SE +/- 84.88, N = 3 SE +/- 491.54, N = 3 61253.78 63083.58 51197.81 51183.28 51763.13 64404.93 59610.98 38055.48 52421.16 37856.21 61372.67 59402.61 52852.27 61161.49 64460.63 65784.91 37612.10 34303.92 54278.91 61836.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11K 22K 33K 44K 55K Min: 58118.01 / Avg: 61253.78 / Max: 64354.32 Min: 62764.22 / Avg: 63083.58 / Max: 63556.1 Min: 51112.45 / Avg: 51197.81 / Max: 51313.99 Min: 50839.81 / Avg: 51183.28 / Max: 51426.06 Min: 51177.38 / Avg: 51763.13 / Max: 52284.35 Min: 56916.25 / Avg: 64404.93 / Max: 69223.31 Min: 59178.64 / Avg: 59610.98 / Max: 60122.42 Min: 37912.54 / Avg: 38055.48 / Max: 38128.59 Min: 48119.17 / Avg: 52421.16 / Max: 53819.68 Min: 37556.37 / Avg: 37856.21 / Max: 38328.73 Min: 58752.25 / Avg: 61372.67 / Max: 62931.84 Min: 58959.13 / Avg: 59402.61 / Max: 59728.54 Min: 52179.66 / Avg: 52852.27 / Max: 53294.56 Min: 53679.74 / Avg: 61161.49 / Max: 66058.07 Min: 63717.54 / Avg: 64460.63 / Max: 65230.73 Min: 65481.22 / Avg: 65784.91 / Max: 65958.47 Min: 37466.22 / Avg: 37612.1 / Max: 37878.08 Min: 34195.02 / Avg: 34303.92 / Max: 34486.25 Min: 54160.94 / Avg: 54278.91 / Max: 54443.62 Min: 61166.4 / Avg: 61836.51 / Max: 62794.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.044903, N = 3 SE +/- 0.075924, N = 3 SE +/- 0.267671, N = 3 SE +/- 0.249884, N = 3 SE +/- 0.194041, N = 3 SE +/- 0.077277, N = 3 SE +/- 0.039936, N = 3 SE +/- 0.016232, N = 3 SE +/- 0.118524, N = 15 SE +/- 0.032837, N = 3 SE +/- 0.111318, N = 3 SE +/- 0.050387, N = 3 SE +/- 0.105342, N = 3 SE +/- 0.089451, N = 3 SE +/- 0.148138, N = 3 SE +/- 0.060143, N = 3 SE +/- 0.031130, N = 3 SE +/- 0.017368, N = 3 SE +/- 0.042595, N = 3 SE +/- 0.079585, N = 15 7.513536 9.488085 16.544917 15.188358 13.770619 7.273022 5.054392 1.667038 12.678299 2.969549 8.907940 6.194514 9.732388 6.740164 9.218407 4.499071 2.583445 2.717810 3.613094 9.308025 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 7.44 / Avg: 7.51 / Max: 7.59 Min: 9.38 / Avg: 9.49 / Max: 9.63 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: 7.17 / Avg: 7.27 / Max: 7.43 Min: 4.99 / Avg: 5.05 / Max: 5.12 Min: 1.64 / Avg: 1.67 / Max: 1.7 Min: 11.57 / Avg: 12.68 / Max: 13.15 Min: 2.92 / Avg: 2.97 / Max: 3.03 Min: 8.75 / Avg: 8.91 / Max: 9.12 Min: 6.14 / Avg: 6.19 / Max: 6.29 Min: 9.53 / Avg: 9.73 / Max: 9.89 Min: 6.59 / Avg: 6.74 / Max: 6.9 Min: 8.94 / Avg: 9.22 / Max: 9.44 Min: 4.42 / Avg: 4.5 / Max: 4.62 Min: 2.54 / Avg: 2.58 / Max: 2.64 Min: 2.69 / Avg: 2.72 / Max: 2.74 Min: 3.53 / Avg: 3.61 / Max: 3.67 Min: 8.67 / Avg: 9.31 / Max: 9.63 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.53, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.36, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.53, N = 3 SE +/- 0.04, N = 3 34.73 31.64 19.29 19.56 23.14 37.90 55.83 114.04 23.06 95.81 34.17 47.15 32.65 45.00 28.88 60.12 116.86 109.38 78.77 31.11 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 34.46 / Avg: 34.73 / Max: 34.87 Min: 31.08 / Avg: 31.64 / Max: 32.7 Min: 19.17 / Avg: 19.29 / Max: 19.41 Min: 19.49 / Avg: 19.56 / Max: 19.64 Min: 22.64 / Avg: 23.14 / Max: 23.51 Min: 37.78 / Avg: 37.9 / Max: 38.07 Min: 55.59 / Avg: 55.83 / Max: 56.17 Min: 113.61 / Avg: 114.04 / Max: 114.42 Min: 23.04 / Avg: 23.06 / Max: 23.07 Min: 95.7 / Avg: 95.81 / Max: 95.96 Min: 33.93 / Avg: 34.17 / Max: 34.43 Min: 47 / Avg: 47.15 / Max: 47.23 Min: 32.54 / Avg: 32.65 / Max: 32.75 Min: 44.77 / Avg: 45 / Max: 45.43 Min: 28.86 / Avg: 28.88 / Max: 28.92 Min: 59.52 / Avg: 60.12 / Max: 60.75 Min: 116.64 / Avg: 116.86 / Max: 117.07 Min: 109.26 / Avg: 109.38 / Max: 109.51 Min: 77.86 / Avg: 78.77 / Max: 79.69 Min: 31.02 / Avg: 31.11 / Max: 31.16 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 46.62 51.41 52.33 51.76 52.25 51.46 52.24 53.86 52.55 44.72 51.50 44.35 52.40 54.77 50.71 53.86 54.98 51.69 54.25 51.47 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 Min: 46.59 / Avg: 46.62 / Max: 46.66 Min: 51.4 / Avg: 51.41 / Max: 51.41 Min: 52.31 / Avg: 52.33 / Max: 52.37 Min: 51.75 / Avg: 51.76 / Max: 51.79 Min: 52.18 / Avg: 52.25 / Max: 52.33 Min: 51.42 / Avg: 51.46 / Max: 51.5 Min: 52.14 / Avg: 52.24 / Max: 52.38 Min: 53.81 / Avg: 53.86 / Max: 53.94 Min: 52.24 / Avg: 52.55 / Max: 52.95 Min: 44.68 / Avg: 44.72 / Max: 44.77 Min: 51.37 / Avg: 51.49 / Max: 51.57 Min: 44.25 / Avg: 44.35 / Max: 44.54 Min: 52.36 / Avg: 52.4 / Max: 52.45 Min: 54.75 / Avg: 54.77 / Max: 54.79 Min: 50.68 / Avg: 50.71 / Max: 50.77 Min: 53.76 / Avg: 53.86 / Max: 53.91 Min: 54.79 / Avg: 54.98 / Max: 55.21 Min: 51.52 / Avg: 51.69 / Max: 51.89 Min: 54.1 / Avg: 54.25 / Max: 54.35 Min: 51.42 / Avg: 51.47 / Max: 51.52 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.000, N = 15 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 SE +/- 0.009, N = 7 SE +/- 0.000, N = 12 SE +/- 0.000, N = 3 SE +/- 0.194, N = 3 SE +/- 0.112, N = 3 SE +/- 0.000, N = 12 SE +/- 0.062, N = 3 SE +/- 0.000, N = 12 SE +/- 0.009, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 22.220 25.640 40.000 40.000 34.480 20.830 14.080 6.900 34.480 8.060 23.810 15.625 24.200 18.410 27.030 13.580 6.850 7.340 10.200 25.640
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 22.22 / Avg: 22.22 / Max: 22.22 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 8 / Avg: 8.06 / Max: 8.06 Min: 23.81 / Avg: 23.81 / Max: 23.81 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 23.81 / Avg: 24.2 / Max: 24.39 Min: 18.18 / Avg: 18.41 / Max: 18.52 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 13.51 / Avg: 13.58 / Max: 13.7 Min: 6.85 / Avg: 6.85 / Max: 6.85 Min: 7.25 / Avg: 7.34 / Max: 7.35 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 25.64 / Avg: 25.64 / Max: 25.64
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.39, N = 15 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 SE +/- 0.63, N = 15 SE +/- 0.01, N = 3 SE +/- 0.87, N = 15 SE +/- 0.27, N = 15 SE +/- 0.67, N = 15 SE +/- 0.14, N = 9 SE +/- 0.33, N = 15 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.26, N = 15 SE +/- 0.73, N = 15 SE +/- 0.18, N = 15 SE +/- 0.09, N = 3 SE +/- 0.23, N = 5 SE +/- 0.03, N = 3 14.28 16.34 16.21 16.65 18.79 15.74 18.05 18.32 18.48 14.49 16.52 13.67 16.47 17.37 17.03 18.58 17.38 15.92 17.49 15.83
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 14.26 / Avg: 14.28 / Max: 14.31 Min: 15.79 / Avg: 16.34 / Max: 21.78 Min: 16.2 / Avg: 16.21 / Max: 16.23 Min: 16.31 / Avg: 16.65 / Max: 17.09 Min: 17.66 / Avg: 18.79 / Max: 27.36 Min: 15.73 / Avg: 15.74 / Max: 15.75 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: 14.13 / Avg: 14.49 / Max: 15.52 Min: 15.82 / Avg: 16.52 / Max: 20.97 Min: 13.65 / Avg: 13.67 / Max: 13.69 Min: 16.37 / Avg: 16.47 / Max: 16.56 Min: 17.27 / Avg: 17.37 / Max: 17.51 Min: 16.44 / Avg: 17.03 / Max: 20.4 Min: 17.09 / Avg: 18.58 / Max: 26.98 Min: 17.01 / Avg: 17.38 / Max: 19.75 Min: 15.8 / Avg: 15.92 / Max: 16.1 Min: 17.2 / Avg: 17.49 / Max: 18.42 Min: 15.77 / Avg: 15.83 / Max: 15.85
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 32794.20, N = 15 SE +/- 22554.93, N = 3 SE +/- 56345.22, N = 11 SE +/- 62679.17, N = 3 SE +/- 57546.11, N = 7 SE +/- 20548.42, N = 3 SE +/- 11537.25, N = 3 SE +/- 5330.86, N = 3 SE +/- 2133.81, N = 3 SE +/- 29450.71, N = 15 SE +/- 16272.59, N = 3 SE +/- 5912.49, N = 3 SE +/- 19986.48, N = 3 SE +/- 39675.39, N = 3 SE +/- 19652.38, N = 3 SE +/- 16555.91, N = 3 SE +/- 16159.45, N = 3 SE +/- 6324.41, N = 3 SE +/- 9958.10, N = 3 SE +/- 122.33, N = 3 3377578.53 3849752.30 6245020.15 6286052.68 5327299.96 3211403.37 2200579.05 1042243.13 5302329.11 1219801.83 3590511.09 2550932.98 3784170.30 2717558.27 4246337.42 2047387.05 1025514.98 1111691.92 1581427.47 3891895.56 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.1M 2.2M 3.3M 4.4M 5.5M Min: 3136220.09 / Avg: 3377578.53 / Max: 3500588.06 Min: 3804854.57 / Avg: 3849752.3 / Max: 3875985.36 Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78 Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76 Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63 Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23 Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19 Min: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66 Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4 Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56 Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01 Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85 Min: 3762447.59 / Avg: 3784170.3 / Max: 3824091.44 Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05 Min: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26 Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15 Min: 1008034.14 / Avg: 1025514.98 / Max: 1057796.82 Min: 1099493.97 / Avg: 1111691.92 / Max: 1120689.51 Min: 1562684.88 / Avg: 1581427.47 / Max: 1596632.09 Min: 3891660.95 / Avg: 3891895.56 / Max: 3892072.98 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.12, N = 4 SE +/- 0.11, N = 4 SE +/- 0.15, N = 4 SE +/- 0.06, N = 4 SE +/- 0.09, N = 4 SE +/- 0.11, N = 4 SE +/- 0.13, N = 4 SE +/- 0.13, N = 4 SE +/- 0.09, N = 4 SE +/- 0.06, N = 4 SE +/- 0.15, N = 4 SE +/- 0.08, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.12, N = 4 SE +/- 0.06, N = 4 SE +/- 0.05, N = 4 SE +/- 0.10, N = 4 SE +/- 0.09, N = 4 SE +/- 0.10, N = 4 32.59 35.97 36.59 36.01 36.48 35.88 36.50 37.62 36.45 31.46 36.10 31.18 36.58 38.19 35.45 37.56 37.97 35.80 37.87 36.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 32.3 / Avg: 32.59 / Max: 32.85 Min: 35.7 / Avg: 35.97 / Max: 36.23 Min: 36.3 / Avg: 36.59 / Max: 36.97 Min: 35.87 / Avg: 36.01 / Max: 36.14 Min: 36.26 / Avg: 36.48 / Max: 36.63 Min: 35.69 / Avg: 35.88 / Max: 36.13 Min: 36.27 / Avg: 36.5 / Max: 36.74 Min: 37.35 / Avg: 37.62 / Max: 37.93 Min: 36.22 / Avg: 36.45 / Max: 36.64 Min: 31.29 / Avg: 31.46 / Max: 31.53 Min: 35.7 / Avg: 36.1 / Max: 36.41 Min: 30.99 / Avg: 31.18 / Max: 31.36 Min: 36.34 / Avg: 36.58 / Max: 36.88 Min: 38.05 / Avg: 38.19 / Max: 38.37 Min: 35.15 / Avg: 35.45 / Max: 35.69 Min: 37.4 / Avg: 37.56 / Max: 37.67 Min: 37.88 / Avg: 37.97 / Max: 38.09 Min: 35.62 / Avg: 35.8 / Max: 36.03 Min: 37.67 / Avg: 37.87 / Max: 38.03 Min: 35.75 / Avg: 36.03 / Max: 36.23 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 SE +/- 0.0834, N = 3 SE +/- 0.0668, N = 3 SE +/- 0.0423, N = 3 SE +/- 0.0544, N = 3 SE +/- 0.0860, N = 3 SE +/- 0.0049, N = 3 SE +/- 0.0117, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0861, N = 3 SE +/- 0.0091, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.1352, N = 3 SE +/- 0.0254, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0549, N = 3 SE +/- 0.0111, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0365, N = 3 SE +/- 0.0547, N = 3 26.7566 31.1938 44.9159 44.5624 41.0754 25.2413 17.2397 8.3087 41.1410 9.4614 29.1758 18.9692 29.8408 22.4622 32.9632 16.6041 8.3807 8.6359 12.5387 31.0503
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 26.59 / Avg: 26.76 / Max: 26.86 Min: 31.08 / Avg: 31.19 / Max: 31.31 Min: 44.87 / Avg: 44.92 / Max: 45 Min: 44.45 / Avg: 44.56 / Max: 44.62 Min: 40.91 / Avg: 41.08 / Max: 41.18 Min: 25.23 / Avg: 25.24 / Max: 25.25 Min: 17.22 / Avg: 17.24 / Max: 17.26 Min: 8.27 / Avg: 8.31 / Max: 8.34 Min: 40.97 / Avg: 41.14 / Max: 41.25 Min: 9.45 / Avg: 9.46 / Max: 9.48 Min: 29.17 / Avg: 29.18 / Max: 29.18 Min: 18.71 / Avg: 18.97 / Max: 19.16 Min: 29.81 / Avg: 29.84 / Max: 29.89 Min: 22.45 / Avg: 22.46 / Max: 22.47 Min: 32.92 / Avg: 32.96 / Max: 33.02 Min: 16.5 / Avg: 16.6 / Max: 16.69 Min: 8.36 / Avg: 8.38 / Max: 8.4 Min: 8.62 / Avg: 8.64 / Max: 8.65 Min: 12.48 / Avg: 12.54 / Max: 12.6 Min: 30.96 / Avg: 31.05 / Max: 31.15
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 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.29, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.18, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 37.70 40.00 41.26 45.25 65.94 53.95 40.97 38.59 41.28 46.33 38.73 47.51 66.32 62.01 53.88 40.03 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 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 Min: 37.64 / Avg: 37.7 / Max: 37.8 Min: 39.91 / Avg: 40 / Max: 40.04 Min: 41.22 / Avg: 41.26 / Max: 41.28 Min: 44.95 / Avg: 45.25 / Max: 45.64 Min: 65.38 / Avg: 65.94 / Max: 66.34 Min: 53.84 / Avg: 53.95 / Max: 54.03 Min: 40.77 / Avg: 40.97 / Max: 41.1 Min: 38.31 / Avg: 38.59 / Max: 38.96 Min: 41.04 / Avg: 41.28 / Max: 41.64 Min: 46.14 / Avg: 46.33 / Max: 46.45 Min: 38.64 / Avg: 38.72 / Max: 38.81 Min: 47.21 / Avg: 47.51 / Max: 47.96 Min: 66.03 / Avg: 66.32 / Max: 66.54 Min: 61.82 / Avg: 62.01 / Max: 62.12 Min: 53.6 / Avg: 53.88 / Max: 54.21 Min: 39.98 / Avg: 40.03 / Max: 40.08 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0122 0.0244 0.0366 0.0488 0.061 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 4 SE +/- 0.000, N = 15 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 10 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 +/- 0.001, 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 0.048 0.043 0.044 0.043 0.044 0.044 0.048 0.051 0.043 0.047 0.044 0.048 0.050 0.047 0.042 0.043 0.053 0.054 0.044 0.043 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.05 / Avg: 0.05 / 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: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 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: 0.04 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: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 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: 0.04 / Avg: 0.04 / Max: 0.04 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: 100 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K SE +/- 270.77, N = 3 SE +/- 235.87, N = 3 SE +/- 311.13, N = 4 SE +/- 195.08, N = 15 SE +/- 180.38, N = 3 SE +/- 141.59, N = 3 SE +/- 92.58, N = 3 SE +/- 137.01, N = 3 SE +/- 221.45, N = 10 SE +/- 113.70, N = 3 SE +/- 215.55, N = 3 SE +/- 183.28, N = 3 SE +/- 96.86, N = 3 SE +/- 348.84, N = 3 SE +/- 298.28, N = 3 SE +/- 103.25, N = 3 SE +/- 75.31, N = 3 SE +/- 66.93, N = 3 SE +/- 373.32, N = 3 SE +/- 259.85, N = 3 21045 23150 23097 23480 22639 22743 20705 19607 23450 21290 22692 21127 20280 21306 23973 23230 18878 18535 22863 23270 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K Min: 20547.72 / Avg: 21044.59 / Max: 21479.57 Min: 22682.59 / Avg: 23150.17 / Max: 23438.09 Min: 22465.14 / Avg: 23097.1 / Max: 23890.97 Min: 22482.8 / Avg: 23479.62 / Max: 24923.3 Min: 22278.71 / Avg: 22639.45 / Max: 22823.9 Min: 22481.63 / Avg: 22742.66 / Max: 22968.25 Min: 20538.04 / Avg: 20704.74 / Max: 20857.89 Min: 19334.71 / Avg: 19607.37 / Max: 19767.3 Min: 22549.87 / Avg: 23450.11 / Max: 24645.45 Min: 21063.19 / Avg: 21289.58 / Max: 21421.19 Min: 22374.23 / Avg: 22691.94 / Max: 23103.15 Min: 20930.71 / Avg: 21126.73 / Max: 21493 Min: 20177.79 / Avg: 20280.37 / Max: 20473.98 Min: 20657.44 / Avg: 21306.03 / Max: 21852.97 Min: 23414.19 / Avg: 23973.07 / Max: 24433.21 Min: 23038.03 / Avg: 23230.17 / Max: 23391.76 Min: 18730.54 / Avg: 18878.12 / Max: 18977.97 Min: 18451.75 / Avg: 18535.19 / Max: 18667.56 Min: 22130.03 / Avg: 22863.19 / Max: 23352.09 Min: 22857.29 / Avg: 23269.7 / Max: 23749.77 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.0707, N = 3 SE +/- 0.0461, N = 3 SE +/- 0.0648, N = 3 SE +/- 0.0908, N = 3 SE +/- 0.0268, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0184, N = 3 SE +/- 0.0752, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0391, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0478, N = 3 SE +/- 0.0170, N = 3 SE +/- 0.0968, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0183, N = 3 SE +/- 0.0181, N = 3 SE +/- 0.0379, N = 3 27.8014 32.5488 47.4287 47.0971 43.1151 26.3280 17.9550 8.6971 43.0274 9.9019 30.3852 19.9576 31.0287 23.5552 34.1704 17.3009 8.7510 9.0028 13.1278 32.4407
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 27.66 / Avg: 27.8 / Max: 27.89 Min: 32.49 / Avg: 32.55 / Max: 32.64 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: 26.27 / Avg: 26.33 / Max: 26.38 Min: 17.94 / Avg: 17.96 / Max: 17.97 Min: 8.67 / Avg: 8.7 / Max: 8.73 Min: 42.88 / Avg: 43.03 / Max: 43.12 Min: 9.9 / Avg: 9.9 / Max: 9.91 Min: 30.34 / Avg: 30.39 / Max: 30.46 Min: 19.87 / Avg: 19.96 / Max: 20.02 Min: 30.93 / Avg: 31.03 / Max: 31.09 Min: 23.53 / Avg: 23.56 / Max: 23.59 Min: 33.98 / Avg: 34.17 / Max: 34.29 Min: 17.28 / Avg: 17.3 / Max: 17.32 Min: 8.73 / Avg: 8.75 / Max: 8.76 Min: 8.98 / Avg: 9 / Max: 9.04 Min: 13.1 / Avg: 13.13 / Max: 13.16 Min: 32.37 / Avg: 32.44 / Max: 32.5
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.03, N = 4 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 15 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 4 SE +/- 0.00, N = 12 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 9.46 10.39 16.48 16.22 14.15 8.52 5.99 2.77 13.89 3.48 9.47 6.98 10.10 7.37 11.03 5.38 2.91 3.14 4.27 10.35
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 9.43 / Avg: 9.46 / Max: 9.52 Min: 10.31 / Avg: 10.39 / Max: 10.42 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: 8.47 / Avg: 8.52 / Max: 8.62 Min: 5.95 / Avg: 5.99 / Max: 6.02 Min: 2.74 / Avg: 2.77 / Max: 2.82 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 3.44 / Avg: 3.48 / Max: 3.55 Min: 9.35 / Avg: 9.47 / Max: 9.62 Min: 6.94 / Avg: 6.98 / Max: 6.99 Min: 10.1 / Avg: 10.1 / Max: 10.1 Min: 7.35 / Avg: 7.37 / Max: 7.41 Min: 10.99 / Avg: 11.03 / Max: 11.11 Min: 5.35 / Avg: 5.38 / Max: 5.41 Min: 2.91 / Avg: 2.91 / Max: 2.92 Min: 3.13 / Avg: 3.14 / Max: 3.14 Min: 4.26 / Avg: 4.27 / Max: 4.27 Min: 10.31 / Avg: 10.35 / Max: 10.42
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60K 120K 180K 240K 300K SE +/- 404.23, N = 3 SE +/- 212.89, N = 3 SE +/- 456.77, N = 3 SE +/- 715.50, N = 3 SE +/- 769.78, N = 3 SE +/- 595.37, N = 3 SE +/- 425.32, N = 3 SE +/- 167.08, N = 3 SE +/- 439.74, N = 3 SE +/- 309.32, N = 3 SE +/- 558.60, N = 3 SE +/- 949.16, N = 3 SE +/- 133.83, N = 3 SE +/- 65.73, N = 3 SE +/- 398.90, N = 3 SE +/- 175.91, N = 3 SE +/- 82.45, N = 3 SE +/- 259.03, N = 3 SE +/- 210.33, N = 3 SE +/- 246.91, N = 3 149916 169995 262783 257597 227772 138561 95496 46061 224914 55476 158903 109514 167374 125699 175716 91147 47057 49291 68876 169977 1. (CXX) g++ options: -pipe -lpthread
Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50K 100K 150K 200K 250K Min: 149146 / Avg: 149916.33 / Max: 150514 Min: 169586 / Avg: 169995 / Max: 170302 Min: 262092 / Avg: 262783 / Max: 263646 Min: 256297 / Avg: 257597 / Max: 258765 Min: 226262 / Avg: 227771.67 / Max: 228788 Min: 137395 / Avg: 138560.67 / Max: 139354 Min: 94818 / Avg: 95496.33 / Max: 96280 Min: 45763 / Avg: 46060.67 / Max: 46341 Min: 224366 / Avg: 224914.33 / Max: 225784 Min: 54860 / Avg: 55475.67 / Max: 55836 Min: 157932 / Avg: 158902.67 / Max: 159867 Min: 107957 / Avg: 109514 / Max: 111233 Min: 167106 / Avg: 167373.67 / Max: 167508 Min: 125568 / Avg: 125699 / Max: 125774 Min: 174939 / Avg: 175715.67 / Max: 176262 Min: 90955 / Avg: 91146.67 / Max: 91498 Min: 46927 / Avg: 47057.33 / Max: 47210 Min: 48889 / Avg: 49291 / Max: 49775 Min: 68587 / Avg: 68875.67 / Max: 69285 Min: 169492 / Avg: 169976.67 / Max: 170301 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, 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 +/- 0.03, N = 3 SE +/- 0.01, N = 3 42.75 46.44 47.17 46.81 47.84 46.41 47.39 49.86 47.33 41.46 46.78 41.35 48.17 49.58 45.72 48.25 49.78 47.54 48.84 46.44
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 42.71 / Avg: 42.75 / Max: 42.81 Min: 46.4 / Avg: 46.44 / Max: 46.47 Min: 47.1 / Avg: 47.17 / Max: 47.22 Min: 46.69 / Avg: 46.81 / Max: 46.91 Min: 47.75 / Avg: 47.84 / Max: 47.97 Min: 46.29 / Avg: 46.41 / Max: 46.49 Min: 47.37 / Avg: 47.39 / Max: 47.41 Min: 49.74 / Avg: 49.86 / Max: 50.01 Min: 47.3 / Avg: 47.33 / Max: 47.37 Min: 41.44 / Avg: 41.46 / Max: 41.47 Min: 46.71 / Avg: 46.78 / Max: 46.83 Min: 41.29 / Avg: 41.35 / Max: 41.41 Min: 48.02 / Avg: 48.17 / Max: 48.37 Min: 49.56 / Avg: 49.58 / Max: 49.63 Min: 45.69 / Avg: 45.72 / Max: 45.75 Min: 48.19 / Avg: 48.25 / Max: 48.28 Min: 49.72 / Avg: 49.78 / Max: 49.84 Min: 47.52 / Avg: 47.54 / Max: 47.57 Min: 48.77 / Avg: 48.84 / Max: 48.88 Min: 46.43 / Avg: 46.44 / Max: 46.45
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.61, N = 3 SE +/- 1.18, N = 3 SE +/- 0.77, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.61, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.54, N = 3 SE +/- 0.44, N = 3 SE +/- 0.35, N = 3 SE +/- 0.15, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 3 SE +/- 0.36, N = 3 SE +/- 0.19, N = 3 101.1 110.5 139.2 126.6 125.0 92.9 71.3 36.0 122.1 43.5 108.9 80.9 116.8 89.7 109.1 64.5 38.3 43.4 52.5 109.7 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 100.9 / Avg: 101.07 / Max: 101.2 Min: 110.3 / Avg: 110.5 / Max: 110.9 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: 92.7 / Avg: 92.87 / Max: 93.2 Min: 71.2 / Avg: 71.33 / Max: 71.4 Min: 35.8 / Avg: 36 / Max: 36.2 Min: 121 / Avg: 122.13 / Max: 123.1 Min: 43.4 / Avg: 43.53 / Max: 43.8 Min: 108.7 / Avg: 108.93 / Max: 109.2 Min: 80.5 / Avg: 80.9 / Max: 81.3 Min: 115.8 / Avg: 116.83 / Max: 117.6 Min: 88.8 / Avg: 89.67 / Max: 90.2 Min: 108.6 / Avg: 109.13 / Max: 109.8 Min: 64.3 / Avg: 64.53 / Max: 64.8 Min: 37.7 / Avg: 38.33 / Max: 38.7 Min: 43.2 / Avg: 43.43 / Max: 43.6 Min: 51.8 / Avg: 52.5 / Max: 53 Min: 109.5 / Avg: 109.73 / Max: 110.1 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 SE +/- 27.80, N = 3 SE +/- 9.17, N = 15 SE +/- 95.65, N = 3 SE +/- 71.03, N = 3 SE +/- 50.20, N = 2 SE +/- 0.00, N = 3 SE +/- 34.25, N = 3 SE +/- 15.38, N = 15 SE +/- 17.18, N = 15 SE +/- 25.93, N = 15 SE +/- 6.40, N = 15 SE +/- 0.00, N = 3 SE +/- 56.08, N = 15 SE +/- 22.72, N = 3 SE +/- 11.78, N = 15 SE +/- 7.84, N = 15 SE +/- 21.10, N = 15 SE +/- 21.26, N = 15 SE +/- 24.67, N = 3 SE +/- 24.25, N = 3 4726.77 4413.35 5400.50 5291.74 5170.51 4294.45 3974.56 2210.52 4853.63 2552.56 4355.46 4754.57 4815.11 4249.01 4394.11 2859.17 2287.55 2350.73 2735.95 4389.10 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900 1800 2700 3600 4500 Min: 4671.16 / Avg: 4726.77 / Max: 4754.57 Min: 4364.85 / Avg: 4413.35 / Max: 4437.6 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: 4294.45 / Avg: 4294.45 / Max: 4294.45 Min: 3915.53 / Avg: 3974.56 / Max: 4034.18 Min: 2080.12 / Avg: 2210.52 / Max: 2256.41 Min: 4754.57 / Avg: 4853.63 / Max: 5023.7 Min: 2315.27 / Avg: 2552.56 / Max: 2689.45 Min: 4294.45 / Avg: 4355.46 / Max: 4364.85 Min: 4754.57 / Avg: 4754.57 / Max: 4754.57 Min: 4512.81 / Avg: 4815.11 / Max: 5220.71 Min: 4226.29 / Avg: 4249.01 / Max: 4294.45 Min: 4294.45 / Avg: 4394.11 / Max: 4437.6 Min: 2802.69 / Avg: 2859.17 / Max: 2894.09 Min: 2182.43 / Avg: 2287.55 / Max: 2377.29 Min: 2130.05 / Avg: 2350.73 / Max: 2511.85 Min: 2689.45 / Avg: 2735.95 / Max: 2773.5 Min: 4364.85 / Avg: 4389.1 / Max: 4437.6 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1500 3000 4500 6000 7500 SE +/- 0.00, N = 3 SE +/- 53.07, N = 15 SE +/- 56.89, N = 3 SE +/- 111.01, N = 3 SE +/- 71.03, N = 3 SE +/- 31.38, N = 3 SE +/- 39.18, N = 3 SE +/- 21.86, N = 15 SE +/- 64.05, N = 15 SE +/- 47.68, N = 15 SE +/- 75.78, N = 15 SE +/- 18.37, N = 3 SE +/- 102.07, N = 15 SE +/- 43.40, N = 3 SE +/- 57.19, N = 15 SE +/- 61.39, N = 15 SE +/- 18.28, N = 15 SE +/- 36.60, N = 15 SE +/- 23.67, N = 3 SE +/- 52.78, N = 3 6339.43 4472.15 6770.19 6605.06 5362.77 3804.17 3429.08 1963.31 5300.22 2241.57 4433.06 3840.41 4255.18 3631.81 4503.71 2536.42 2035.81 2244.31 2336.06 4618.38 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 Min: 6339.43 / Avg: 6339.43 / Max: 6339.43 Min: 3858.78 / Avg: 4472.15 / Max: 4590.62 Min: 6656.4 / Avg: 6770.19 / Max: 6827.08 Min: 6494.05 / Avg: 6605.06 / Max: 6827.08 Min: 5220.71 / Avg: 5362.77 / Max: 5433.8 Min: 3750.08 / Avg: 3804.17 / Max: 3858.78 Min: 3370.33 / Avg: 3429.08 / Max: 3503.37 Min: 1740.24 / Avg: 1963.31 / Max: 2032.49 Min: 4930.67 / Avg: 5300.22 / Max: 5916.8 Min: 1901.83 / Avg: 2241.57 / Max: 2398.7 Min: 3803.66 / Avg: 4433.06 / Max: 4671.16 Min: 3803.66 / Avg: 3840.41 / Max: 3858.78 Min: 3803.66 / Avg: 4255.18 / Max: 4930.67 Min: 3550.08 / Avg: 3631.81 / Max: 3698 Min: 3858.78 / Avg: 4503.71 / Max: 4671.16 Min: 2164.68 / Avg: 2536.42 / Max: 2958.4 Min: 1929.39 / Avg: 2035.81 / Max: 2130.05 Min: 1849 / Avg: 2244.31 / Max: 2335.58 Min: 2295.31 / Avg: 2336.06 / Max: 2377.29 Min: 4512.81 / Avg: 4618.38 / Max: 4671.16 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 42.06 45.95 46.49 46.18 47.09 45.51 45.35 45.49 46.70 38.06 46.25 39.28 47.57 48.59 45.29 46.19 45.67 43.45 45.96 45.95
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 42.01 / Avg: 42.06 / Max: 42.1 Min: 45.93 / Avg: 45.95 / Max: 45.97 Min: 46.42 / Avg: 46.49 / Max: 46.53 Min: 46.1 / Avg: 46.18 / Max: 46.22 Min: 47.08 / Avg: 47.09 / Max: 47.11 Min: 45.49 / Avg: 45.51 / Max: 45.52 Min: 45.34 / Avg: 45.35 / Max: 45.38 Min: 45.18 / Avg: 45.49 / Max: 45.7 Min: 46.69 / Avg: 46.7 / Max: 46.71 Min: 38.05 / Avg: 38.06 / Max: 38.09 Min: 46.23 / Avg: 46.25 / Max: 46.28 Min: 39.22 / Avg: 39.28 / Max: 39.32 Min: 47.51 / Avg: 47.57 / Max: 47.62 Min: 48.5 / Avg: 48.59 / Max: 48.67 Min: 45.27 / Avg: 45.29 / Max: 45.3 Min: 46.18 / Avg: 46.19 / Max: 46.2 Min: 45.66 / Avg: 45.67 / Max: 45.7 Min: 43.39 / Avg: 43.45 / Max: 43.49 Min: 45.89 / Avg: 45.96 / Max: 46 Min: 45.9 / Avg: 45.95 / Max: 46
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.43, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.30, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.24, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 40.71 44.94 45.93 45.01 45.56 44.95 45.62 47.30 45.45 39.10 44.84 38.80 46.11 47.97 44.14 46.98 47.42 45.08 47.41 45.11
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 40.65 / Avg: 40.71 / Max: 40.77 Min: 44.84 / Avg: 44.94 / Max: 45.13 Min: 45.48 / Avg: 45.93 / Max: 46.79 Min: 44.96 / Avg: 45.01 / Max: 45.06 Min: 45.47 / Avg: 45.56 / Max: 45.61 Min: 44.81 / Avg: 44.95 / Max: 45.23 Min: 45.57 / Avg: 45.62 / Max: 45.67 Min: 47.19 / Avg: 47.29 / Max: 47.44 Min: 45.42 / Avg: 45.45 / Max: 45.48 Min: 39.01 / Avg: 39.1 / Max: 39.15 Min: 44.8 / Avg: 44.84 / Max: 44.87 Min: 38.78 / Avg: 38.8 / Max: 38.81 Min: 45.76 / Avg: 46.11 / Max: 46.71 Min: 47.77 / Avg: 47.97 / Max: 48.12 Min: 44.09 / Avg: 44.14 / Max: 44.19 Min: 46.93 / Avg: 46.98 / Max: 47.07 Min: 47.41 / Avg: 47.42 / Max: 47.42 Min: 44.81 / Avg: 45.08 / Max: 45.57 Min: 47.21 / Avg: 47.41 / Max: 47.78 Min: 44.78 / Avg: 45.11 / Max: 45.5
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 9 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 22.28 22.85 22.11 22.96 21.38 18.80 8.39 23.43 9.96 21.72 20.63 21.52 20.06 23.10 18.55 8.65 8.80 15.92 22.07 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 22.25 / Avg: 22.28 / Max: 22.3 Min: 22.78 / Avg: 22.85 / Max: 22.97 Min: 22.05 / Avg: 22.11 / Max: 22.22 Min: 22.73 / Avg: 22.96 / Max: 23.08 Min: 21.34 / Avg: 21.38 / Max: 21.41 Min: 18.74 / Avg: 18.8 / Max: 18.89 Min: 8.24 / Avg: 8.39 / Max: 8.53 Min: 23.32 / Avg: 23.43 / Max: 23.57 Min: 9.95 / Avg: 9.96 / Max: 9.98 Min: 21.69 / Avg: 21.72 / Max: 21.76 Min: 20.56 / Avg: 20.63 / Max: 20.74 Min: 21.49 / Avg: 21.52 / Max: 21.55 Min: 20.04 / Avg: 20.06 / Max: 20.07 Min: 23.03 / Avg: 23.1 / Max: 23.2 Min: 18.51 / Avg: 18.55 / Max: 18.58 Min: 8.5 / Avg: 8.65 / Max: 8.76 Min: 8.46 / Avg: 8.8 / Max: 9.28 Min: 15.8 / Avg: 15.92 / Max: 16.02 Min: 22.01 / Avg: 22.07 / Max: 22.13 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 39.06 42.93 43.72 43.09 43.72 42.86 43.62 46.63 43.72 37.03 42.79 36.89 43.75 45.77 42.37 44.85 45.46 42.55 45.31 42.96 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 38.76 / Avg: 39.06 / Max: 39.27 Min: 42.82 / Avg: 42.93 / Max: 43.12 Min: 43.54 / Avg: 43.72 / Max: 43.82 Min: 42.93 / Avg: 43.09 / Max: 43.23 Min: 43.51 / Avg: 43.72 / Max: 43.84 Min: 42.72 / Avg: 42.86 / Max: 43.05 Min: 43.4 / Avg: 43.62 / Max: 43.73 Min: 46.45 / Avg: 46.63 / Max: 46.74 Min: 43.59 / Avg: 43.72 / Max: 43.85 Min: 36.86 / Avg: 37.03 / Max: 37.28 Min: 42.72 / Avg: 42.79 / Max: 42.82 Min: 36.78 / Avg: 36.89 / Max: 37.06 Min: 43.71 / Avg: 43.75 / Max: 43.8 Min: 45.52 / Avg: 45.77 / Max: 45.96 Min: 42.17 / Avg: 42.37 / Max: 42.5 Min: 44.68 / Avg: 44.85 / Max: 45.08 Min: 45.42 / Avg: 45.46 / Max: 45.53 Min: 42.38 / Avg: 42.55 / Max: 42.78 Min: 45.17 / Avg: 45.31 / Max: 45.43 Min: 42.75 / Avg: 42.96 / Max: 43.12 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2M 4M 6M 8M 10M SE +/- 13083.28, N = 3 SE +/- 16322.76, N = 3 SE +/- 16641.25, N = 3 SE +/- 11189.60, N = 3 SE +/- 5490.09, N = 3 SE +/- 43739.49, N = 3 SE +/- 4457.96, N = 3 SE +/- 78634.61, N = 5 SE +/- 58932.94, N = 9 SE +/- 33413.74, N = 3 SE +/- 27245.95, N = 3 SE +/- 13365.44, N = 3 SE +/- 23411.23, N = 3 SE +/- 66115.31, N = 6 SE +/- 47967.21, N = 3 SE +/- 91804.03, N = 3 SE +/- 64286.26, N = 3 SE +/- 54822.83, N = 10 SE +/- 83401.53, N = 4 SE +/- 60813.81, N = 3 7432010 6724444 6446053 6548322 6617325 6340115 6478221 5977043 6169606 7299102 6322595 7812765 5955306 5439046 6451888 5628949 6069924 5872734 5911066 6311538 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.4M 2.8M 4.2M 5.6M 7M Min: 7406367 / Avg: 7432010.33 / Max: 7449341 Min: 6706889 / Avg: 6724444.33 / Max: 6757058 Min: 6419058 / Avg: 6446052.67 / Max: 6476410 Min: 6526815 / Avg: 6548321.67 / Max: 6564434 Min: 6607733 / Avg: 6617325.33 / Max: 6626749 Min: 6255345 / Avg: 6340114.67 / Max: 6401208 Min: 6471681 / Avg: 6478221 / Max: 6486739 Min: 5669153 / Avg: 5977043.4 / Max: 6096958 Min: 5765543 / Avg: 6169606 / Max: 6421933 Min: 7253372 / Avg: 7299102 / Max: 7364169 Min: 6268240 / Avg: 6322595.33 / Max: 6353112 Min: 7786435 / Avg: 7812765.33 / Max: 7829923 Min: 5911775 / Avg: 5955306.33 / Max: 5992006 Min: 5307839 / Avg: 5439045.5 / Max: 5725219 Min: 6356940 / Avg: 6451888.33 / Max: 6511244 Min: 5474789 / Avg: 5628948.67 / Max: 5792400 Min: 5950694 / Avg: 6069924.33 / Max: 6171208 Min: 5665156 / Avg: 5872733.9 / Max: 6263416 Min: 5745490 / Avg: 5911066.25 / Max: 6083542 Min: 6230341 / Avg: 6311538 / Max: 6430560 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1500 3000 4500 6000 7500 SE +/- 56.00, N = 3 SE +/- 51.00, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 46.33, N = 3 SE +/- 51.00, N = 3 SE +/- 62.67, N = 3 SE +/- 81.99, N = 3 SE +/- 46.33, N = 3 SE +/- 51.00, N = 3 6522 6148 6049 6049 6049 6097 6097 5859 6097 6756 6199 6881 5954 5813 6250 5906 5952 6199 5813 6097 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 Min: 6410 / Avg: 6522 / Max: 6578 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: 5859.33 / Max: 5952 Min: 6097 / Avg: 6199 / Max: 6250 Min: 6756 / Avg: 6881.33 / Max: 6944 Min: 5813 / Avg: 5954 / Max: 6097 Min: 5813 / Avg: 5905.67 / Max: 5952 Min: 6097 / Avg: 6199 / Max: 6250 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1400 2800 4200 5600 7000 SE +/- 22.84, N = 3 SE +/- 10.82, N = 3 SE +/- 23.78, N = 3 SE +/- 16.34, N = 3 SE +/- 10.70, N = 3 SE +/- 10.46, N = 3 SE +/- 9.79, N = 3 SE +/- 13.17, N = 3 SE +/- 10.23, N = 3 SE +/- 7.11, N = 3 SE +/- 17.05, N = 3 SE +/- 13.44, N = 3 SE +/- 9.90, N = 3 SE +/- 9.00, N = 3 SE +/- 11.74, N = 3 SE +/- 12.17, N = 3 SE +/- 10.37, N = 3 SE +/- 8.67, N = 3 SE +/- 16.34, N = 3 SE +/- 10.70, N = 3 6289 5703 5200 5319 5671 5608 5425 4438 5535 4615 5435 6343 5445 5199 5941 6048 4237 3876 5319 5660 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 Min: 6250 / Avg: 6289.47 / Max: 6329.11 Min: 5681.82 / Avg: 5703.46 / Max: 5714.29 Min: 5154.64 / Avg: 5199.52 / Max: 5235.6 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5649.72 / Avg: 5671.12 / Max: 5681.82 Min: 5586.59 / Avg: 5607.52 / Max: 5617.98 Min: 5405.41 / Avg: 5424.99 / Max: 5434.78 Min: 4424.78 / Avg: 4437.95 / Max: 4464.29 Min: 5524.86 / Avg: 5535.09 / Max: 5555.56 Min: 4608.29 / Avg: 4615.41 / Max: 4629.63 Min: 5405.41 / Avg: 5434.89 / Max: 5464.48 Min: 6329.11 / Avg: 6342.55 / Max: 6369.43 Min: 5434.78 / Avg: 5444.68 / Max: 5464.48 Min: 5181.35 / Avg: 5199.34 / Max: 5208.33 Min: 5917.16 / Avg: 5940.64 / Max: 5952.38 Min: 6024.1 / Avg: 6048.44 / Max: 6060.61 Min: 4219.41 / Avg: 4237.34 / Max: 4255.32 Min: 3861 / Avg: 3876.01 / Max: 3891.05 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5649.72 / Avg: 5660.42 / Max: 5681.82 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 18.99 15.30 14.78 14.66 14.83 15.69 15.93 15.11 14.82 18.05 15.04 19.50 15.17 14.53 15.80 15.43 14.73 15.29 15.04 15.44 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 18.88 / Avg: 18.99 / Max: 19.07 Min: 15.19 / Avg: 15.3 / Max: 15.39 Min: 14.72 / Avg: 14.78 / Max: 14.86 Min: 14.63 / Avg: 14.66 / Max: 14.72 Min: 14.8 / Avg: 14.83 / Max: 14.86 Min: 15.55 / Avg: 15.69 / Max: 15.98 Min: 15.78 / Avg: 15.93 / Max: 16.12 Min: 15.01 / Avg: 15.11 / Max: 15.22 Min: 14.79 / Avg: 14.82 / Max: 14.85 Min: 17.97 / Avg: 18.05 / Max: 18.15 Min: 15 / Avg: 15.04 / Max: 15.08 Min: 19.41 / Avg: 19.5 / Max: 19.68 Min: 15.06 / Avg: 15.17 / Max: 15.37 Min: 14.47 / Avg: 14.53 / Max: 14.6 Min: 15.68 / Avg: 15.8 / Max: 15.97 Min: 15.28 / Avg: 15.43 / Max: 15.57 Min: 14.71 / Avg: 14.73 / Max: 14.76 Min: 15.22 / Avg: 15.29 / Max: 15.38 Min: 15 / Avg: 15.04 / Max: 15.1 Min: 15.36 / Avg: 15.44 / Max: 15.56 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.00666, N = 3 SE +/- 0.01793, N = 3 SE +/- 0.01653, N = 3 SE +/- 0.02328, N = 3 SE +/- 0.00682, N = 3 SE +/- 0.02820, N = 15 SE +/- 0.01628, N = 3 SE +/- 0.13039, N = 15 SE +/- 0.02747, N = 3 SE +/- 0.05477, N = 15 SE +/- 0.05039, N = 15 SE +/- 0.00248, N = 3 SE +/- 0.01911, N = 3 SE +/- 0.02418, N = 15 SE +/- 0.02197, N = 3 SE +/- 0.10035, N = 15 SE +/- 0.02644, N = 3 SE +/- 0.50723, N = 15 SE +/- 0.05931, N = 3 SE +/- 0.03542, N = 15 1.64585 1.75183 1.63132 1.80818 1.48624 2.40689 2.62891 6.82638 2.02167 5.44456 3.88529 1.99596 2.22779 2.82041 2.23648 6.45984 5.17763 9.46298 4.48168 2.18360 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 1.64 / Avg: 1.65 / Max: 1.66 Min: 1.72 / Avg: 1.75 / Max: 1.77 Min: 1.6 / Avg: 1.63 / Max: 1.66 Min: 1.78 / Avg: 1.81 / Max: 1.85 Min: 1.47 / Avg: 1.49 / Max: 1.49 Min: 2.22 / Avg: 2.41 / Max: 2.56 Min: 2.6 / Avg: 2.63 / Max: 2.65 Min: 6.08 / Avg: 6.83 / Max: 7.88 Min: 1.99 / Avg: 2.02 / Max: 2.08 Min: 4.89 / Avg: 5.44 / Max: 5.67 Min: 3.5 / Avg: 3.89 / Max: 4.21 Min: 1.99 / Avg: 2 / Max: 2 Min: 2.2 / Avg: 2.23 / Max: 2.26 Min: 2.58 / Avg: 2.82 / Max: 2.96 Min: 2.21 / Avg: 2.24 / Max: 2.28 Min: 5.52 / Avg: 6.46 / Max: 6.84 Min: 5.13 / Avg: 5.18 / Max: 5.22 Min: 7.06 / Avg: 9.46 / Max: 14.82 Min: 4.42 / Avg: 4.48 / Max: 4.6 Min: 2.03 / Avg: 2.18 / Max: 2.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.02, 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 +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 26.08 23.22 14.18 14.31 16.79 28.73 42.81 88.09 16.95 73.26 25.00 36.27 23.79 32.77 21.71 44.20 89.47 84.25 59.45 23.21 1. (CXX) g++ options: -fopenmp -O2 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 26.06 / Avg: 26.08 / Max: 26.11 Min: 23.11 / Avg: 23.22 / Max: 23.28 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: 28.62 / Avg: 28.73 / Max: 28.91 Min: 42.79 / Avg: 42.81 / Max: 42.83 Min: 88.03 / Avg: 88.09 / Max: 88.15 Min: 16.89 / Avg: 16.94 / Max: 17.02 Min: 73.23 / Avg: 73.26 / Max: 73.27 Min: 24.97 / Avg: 25 / Max: 25.03 Min: 36.26 / Avg: 36.27 / Max: 36.28 Min: 23.7 / Avg: 23.79 / Max: 23.88 Min: 32.69 / Avg: 32.77 / Max: 32.84 Min: 21.67 / Avg: 21.71 / Max: 21.75 Min: 44.14 / Avg: 44.2 / Max: 44.24 Min: 89.42 / Avg: 89.47 / Max: 89.5 Min: 84.23 / Avg: 84.25 / Max: 84.26 Min: 59.41 / Avg: 59.45 / Max: 59.46 Min: 23.06 / Avg: 23.21 / Max: 23.37 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.35, N = 3 SE +/- 0.23, N = 3 SE +/- 0.24, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.22, N = 3 SE +/- 0.06, N = 3 SE +/- 0.32, N = 3 SE +/- 0.04, N = 3 SE +/- 0.28, N = 3 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.22, N = 3 35.17 32.80 32.70 32.87 31.25 32.31 32.18 29.20 31.63 32.86 32.12 36.57 31.34 30.09 32.68 31.16 27.69 30.29 29.00 32.56 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 35.13 / Avg: 35.17 / Max: 35.25 Min: 32.75 / Avg: 32.8 / Max: 32.88 Min: 32.38 / Avg: 32.7 / Max: 32.95 Min: 32.7 / Avg: 32.87 / Max: 32.97 Min: 31.21 / Avg: 31.25 / Max: 31.31 Min: 32.25 / Avg: 32.31 / Max: 32.38 Min: 32.16 / Avg: 32.18 / Max: 32.19 Min: 28.59 / Avg: 29.2 / Max: 29.79 Min: 31.19 / Avg: 31.63 / Max: 31.98 Min: 32.38 / Avg: 32.86 / Max: 33.16 Min: 31.84 / Avg: 32.12 / Max: 32.39 Min: 36.4 / Avg: 36.57 / Max: 36.67 Min: 30.9 / Avg: 31.34 / Max: 31.56 Min: 29.97 / Avg: 30.09 / Max: 30.17 Min: 32.06 / Avg: 32.68 / Max: 33.09 Min: 31.08 / Avg: 31.16 / Max: 31.2 Min: 27.15 / Avg: 27.69 / Max: 28.04 Min: 30.11 / Avg: 30.29 / Max: 30.49 Min: 28.53 / Avg: 29 / Max: 29.41 Min: 32.13 / Avg: 32.56 / Max: 32.84 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.06, 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 35.14 38.71 39.40 38.89 39.32 38.75 39.28 40.54 39.33 33.46 38.79 33.31 39.45 41.26 38.22 40.57 40.89 38.51 40.77 38.75 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 35.08 / Avg: 35.14 / Max: 35.26 Min: 38.7 / Avg: 38.71 / Max: 38.72 Min: 39.32 / Avg: 39.4 / Max: 39.48 Min: 38.87 / Avg: 38.89 / Max: 38.91 Min: 39.3 / Avg: 39.32 / Max: 39.32 Min: 38.73 / Avg: 38.75 / Max: 38.75 Min: 39.27 / Avg: 39.28 / Max: 39.31 Min: 40.53 / Avg: 40.54 / Max: 40.55 Min: 39.32 / Avg: 39.33 / Max: 39.34 Min: 33.44 / Avg: 33.46 / Max: 33.5 Min: 38.75 / Avg: 38.79 / Max: 38.86 Min: 33.26 / Avg: 33.31 / Max: 33.35 Min: 39.43 / Avg: 39.45 / Max: 39.47 Min: 41.23 / Avg: 41.26 / Max: 41.28 Min: 38.17 / Avg: 38.22 / Max: 38.31 Min: 40.54 / Avg: 40.57 / Max: 40.6 Min: 40.84 / Avg: 40.89 / Max: 40.96 Min: 38.5 / Avg: 38.51 / Max: 38.52 Min: 40.76 / Avg: 40.77 / Max: 40.79 Min: 38.71 / Avg: 38.75 / Max: 38.77 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.00245, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.02420, N = 3 SE +/- 0.01714, N = 3 SE +/- 0.02366, N = 15 SE +/- 0.04434, N = 15 SE +/- 0.04327, N = 3 SE +/- 0.05423, N = 3 SE +/- 0.02668, N = 4 SE +/- 0.22388, N = 15 SE +/- 0.00870, N = 3 SE +/- 0.00914, N = 3 SE +/- 0.02569, N = 3 SE +/- 0.06679, N = 15 SE +/- 0.02667, N = 4 SE +/- 0.02067, N = 3 SE +/- 0.03858, N = 3 SE +/- 0.01003, N = 3 SE +/- 0.06965, N = 3 SE +/- 0.00959, N = 3 1.99454 1.96299 1.95935 2.55843 1.92590 2.47190 2.97425 7.79600 2.02785 4.81372 2.10673 2.43553 2.25891 2.99977 1.89386 3.14991 5.87119 5.13825 4.77168 2.01176 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 1.95 / Avg: 1.96 / Max: 1.99 Min: 1.91 / Avg: 1.96 / Max: 1.99 Min: 2.53 / Avg: 2.56 / Max: 2.58 Min: 1.79 / Avg: 1.93 / Max: 2.13 Min: 2.23 / Avg: 2.47 / Max: 2.82 Min: 2.89 / Avg: 2.97 / Max: 3.04 Min: 7.71 / Avg: 7.8 / Max: 7.9 Min: 1.97 / Avg: 2.03 / Max: 2.09 Min: 4.51 / Avg: 4.81 / Max: 7.94 Min: 2.09 / Avg: 2.11 / Max: 2.12 Min: 2.42 / Avg: 2.44 / Max: 2.45 Min: 2.22 / Avg: 2.26 / Max: 2.31 Min: 2.71 / Avg: 3 / Max: 3.68 Min: 1.85 / Avg: 1.89 / Max: 1.96 Min: 3.11 / Avg: 3.15 / Max: 3.18 Min: 5.82 / Avg: 5.87 / Max: 5.95 Min: 5.12 / Avg: 5.14 / Max: 5.16 Min: 4.67 / Avg: 4.77 / Max: 4.9 Min: 1.99 / Avg: 2.01 / Max: 2.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 4.46, N = 3 SE +/- 4.31, N = 3 SE +/- 14.16, N = 15 SE +/- 7.11, N = 3 SE +/- 13.69, N = 3 SE +/- 0.99, N = 3 SE +/- 0.89, N = 3 SE +/- 2.93, N = 3 SE +/- 10.65, N = 15 SE +/- 3.52, N = 3 SE +/- 11.73, N = 15 SE +/- 1.85, N = 3 SE +/- 7.08, N = 3 SE +/- 4.51, N = 3 SE +/- 17.83, N = 12 SE +/- 2.71, N = 3 SE +/- 10.58, N = 15 SE +/- 0.39, N = 3 SE +/- 3.69, N = 3 SE +/- 15.40, N = 14 599.53 606.34 694.25 772.58 796.30 396.26 367.57 175.49 576.21 220.92 487.74 456.91 509.24 362.45 653.71 346.25 141.22 206.13 271.74 431.69 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140 280 420 560 700 Min: 594.65 / Avg: 599.53 / Max: 608.44 Min: 598.79 / Avg: 606.34 / Max: 613.71 Min: 594.64 / Avg: 694.25 / Max: 820.64 Min: 758.61 / Avg: 772.58 / Max: 781.84 Min: 773.92 / Avg: 796.3 / Max: 821.15 Min: 394.83 / Avg: 396.26 / Max: 398.16 Min: 366.05 / Avg: 367.57 / Max: 369.13 Min: 172.22 / Avg: 175.49 / Max: 181.35 Min: 473.19 / Avg: 576.2 / Max: 636.28 Min: 216.26 / Avg: 220.92 / Max: 227.82 Min: 409.82 / Avg: 487.74 / Max: 551.45 Min: 453.26 / Avg: 456.91 / Max: 459.2 Min: 496.76 / Avg: 509.24 / Max: 521.25 Min: 354.07 / Avg: 362.45 / Max: 369.54 Min: 463.09 / Avg: 653.71 / Max: 684.82 Min: 343.18 / Avg: 346.25 / Max: 351.65 Min: 103.12 / Avg: 141.22 / Max: 185.75 Min: 205.42 / Avg: 206.13 / Max: 206.74 Min: 265.5 / Avg: 271.74 / Max: 278.29 Min: 397.82 / Avg: 431.69 / Max: 624.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 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 +/- 0.02, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 27.34 25.52 18.90 19.16 20.91 29.46 40.27 74.10 21.01 61.75 27.05 34.08 26.23 33.35 24.19 41.84 75.37 70.90 52.85 25.52 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 Min: 27.3 / Avg: 27.34 / Max: 27.37 Min: 25.5 / Avg: 25.51 / Max: 25.53 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: 29.42 / Avg: 29.46 / Max: 29.5 Min: 40.24 / Avg: 40.27 / Max: 40.32 Min: 74.06 / Avg: 74.1 / Max: 74.14 Min: 20.99 / Avg: 21.01 / Max: 21.02 Min: 61.72 / Avg: 61.75 / Max: 61.78 Min: 27.03 / Avg: 27.05 / Max: 27.08 Min: 34.06 / Avg: 34.08 / Max: 34.11 Min: 26.21 / Avg: 26.23 / Max: 26.24 Min: 33.33 / Avg: 33.35 / Max: 33.36 Min: 24.15 / Avg: 24.18 / Max: 24.21 Min: 41.79 / Avg: 41.84 / Max: 41.9 Min: 75.26 / Avg: 75.37 / Max: 75.42 Min: 70.86 / Avg: 70.9 / Max: 70.95 Min: 52.82 / Avg: 52.84 / Max: 52.88 Min: 25.5 / Avg: 25.52 / Max: 25.53 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 SE +/- 0.17, N = 3 SE +/- 0.92, N = 3 SE +/- 2.80, N = 3 SE +/- 1.45, N = 3 SE +/- 1.67, N = 3 SE +/- 1.16, N = 3 SE +/- 1.62, N = 3 SE +/- 4.52, N = 3 SE +/- 0.55, N = 3 SE +/- 3.22, N = 3 SE +/- 3.37, N = 3 SE +/- 0.42, N = 3 SE +/- 0.34, N = 3 SE +/- 1.50, N = 3 SE +/- 1.68, N = 3 SE +/- 2.12, N = 3 SE +/- 1.53, N = 3 SE +/- 0.85, N = 3 SE +/- 2.39, N = 3 SE +/- 0.12, N = 3 227.11 265.01 381.92 442.85 309.36 252.12 260.18 373.07 330.09 354.73 277.10 230.35 289.88 305.55 251.43 260.47 392.82 355.52 334.58 271.54 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 Min: 226.77 / Avg: 227.11 / Max: 227.31 Min: 264.04 / Avg: 265.01 / Max: 266.85 Min: 376.52 / Avg: 381.92 / Max: 385.92 Min: 440.47 / Avg: 442.85 / Max: 445.47 Min: 306.05 / Avg: 309.36 / Max: 311.45 Min: 250.69 / Avg: 252.12 / Max: 254.42 Min: 258.39 / Avg: 260.18 / Max: 263.42 Min: 364.04 / Avg: 373.07 / Max: 377.83 Min: 329.07 / Avg: 330.09 / Max: 330.98 Min: 348.31 / Avg: 354.72 / Max: 358.52 Min: 270.87 / Avg: 277.1 / Max: 282.42 Min: 229.56 / Avg: 230.35 / Max: 230.99 Min: 289.39 / Avg: 289.88 / Max: 290.54 Min: 302.75 / Avg: 305.55 / Max: 307.86 Min: 248.87 / Avg: 251.43 / Max: 254.59 Min: 256.85 / Avg: 260.47 / Max: 264.18 Min: 389.93 / Avg: 392.82 / Max: 395.14 Min: 353.9 / Avg: 355.52 / Max: 356.77 Min: 330.36 / Avg: 334.58 / Max: 338.64 Min: 271.34 / Avg: 271.54 / Max: 271.75 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.03, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 34.16 37.25 37.67 37.44 38.28 36.79 36.53 36.73 37.95 30.76 37.56 31.86 38.65 39.20 36.67 37.04 36.72 35.03 36.74 37.23
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 34.11 / Avg: 34.16 / Max: 34.24 Min: 37.21 / Avg: 37.25 / Max: 37.31 Min: 37.64 / Avg: 37.67 / Max: 37.7 Min: 37.39 / Avg: 37.44 / Max: 37.51 Min: 38.26 / Avg: 38.28 / Max: 38.32 Min: 36.73 / Avg: 36.79 / Max: 36.85 Min: 36.5 / Avg: 36.53 / Max: 36.56 Min: 36.7 / Avg: 36.73 / Max: 36.75 Min: 37.93 / Avg: 37.94 / Max: 37.96 Min: 30.72 / Avg: 30.76 / Max: 30.79 Min: 37.54 / Avg: 37.56 / Max: 37.59 Min: 31.81 / Avg: 31.86 / Max: 31.94 Min: 38.55 / Avg: 38.65 / Max: 38.73 Min: 39.17 / Avg: 39.2 / Max: 39.22 Min: 36.61 / Avg: 36.67 / Max: 36.71 Min: 37.01 / Avg: 37.04 / Max: 37.1 Min: 36.67 / Avg: 36.72 / Max: 36.76 Min: 35 / Avg: 35.03 / Max: 35.08 Min: 36.69 / Avg: 36.74 / Max: 36.84 Min: 37.22 / Avg: 37.23 / Max: 37.25
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.3528 0.7056 1.0584 1.4112 1.764 SE +/- 0.009, N = 15 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 4 SE +/- 0.007, N = 15 SE +/- 0.008, N = 15 SE +/- 0.013, N = 15 SE +/- 0.028, N = 15 SE +/- 0.007, N = 15 SE +/- 0.021, N = 15 SE +/- 0.008, N = 3 SE +/- 0.014, N = 15 SE +/- 0.009, N = 3 SE +/- 0.009, N = 15 SE +/- 0.008, N = 15 SE +/- 0.011, N = 6 SE +/- 0.029, N = 15 SE +/- 0.032, N = 12 SE +/- 0.021, N = 15 SE +/- 0.009, N = 3 0.699 0.688 0.701 0.682 0.644 0.753 0.932 1.560 0.653 1.421 0.686 0.862 0.721 0.801 0.655 0.920 1.567 1.568 1.123 0.688
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.64 / Avg: 0.7 / Max: 0.77 Min: 0.68 / Avg: 0.69 / Max: 0.69 Min: 0.69 / Avg: 0.7 / Max: 0.72 Min: 0.66 / Avg: 0.68 / Max: 0.7 Min: 0.6 / Avg: 0.64 / Max: 0.69 Min: 0.7 / Avg: 0.75 / Max: 0.81 Min: 0.81 / Avg: 0.93 / Max: 1.03 Min: 1.4 / Avg: 1.56 / Max: 1.76 Min: 0.6 / Avg: 0.65 / Max: 0.71 Min: 1.29 / Avg: 1.42 / Max: 1.6 Min: 0.67 / Avg: 0.69 / Max: 0.69 Min: 0.74 / Avg: 0.86 / Max: 0.93 Min: 0.7 / Avg: 0.72 / Max: 0.73 Min: 0.75 / Avg: 0.8 / Max: 0.87 Min: 0.61 / Avg: 0.65 / Max: 0.71 Min: 0.88 / Avg: 0.92 / Max: 0.95 Min: 1.41 / Avg: 1.57 / Max: 1.82 Min: 1.43 / Avg: 1.57 / Max: 1.86 Min: 1.04 / Avg: 1.12 / Max: 1.3 Min: 0.67 / Avg: 0.69 / Max: 0.7
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 24.00 21.31 13.06 13.14 15.44 26.19 39.16 80.54 15.63 66.97 23.05 33.24 21.86 29.96 19.93 40.67 81.67 76.84 54.25 21.36 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16 32 48 64 80 Min: 23.84 / Avg: 24 / Max: 24.1 Min: 21.3 / Avg: 21.31 / Max: 21.33 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: 26.14 / Avg: 26.19 / Max: 26.28 Min: 39.14 / Avg: 39.16 / Max: 39.19 Min: 80.51 / Avg: 80.54 / Max: 80.6 Min: 15.59 / Avg: 15.62 / Max: 15.65 Min: 66.85 / Avg: 66.97 / Max: 67.05 Min: 23 / Avg: 23.05 / Max: 23.09 Min: 33.19 / Avg: 33.24 / Max: 33.27 Min: 21.84 / Avg: 21.86 / Max: 21.88 Min: 29.93 / Avg: 29.95 / Max: 30 Min: 19.88 / Avg: 19.93 / Max: 19.98 Min: 40.63 / Avg: 40.67 / Max: 40.74 Min: 81.58 / Avg: 81.67 / Max: 81.81 Min: 76.81 / Avg: 76.84 / Max: 76.87 Min: 54.23 / Avg: 54.25 / Max: 54.27 Min: 21.28 / Avg: 21.36 / Max: 21.47 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.6701 1.3402 2.0103 2.6804 3.3505 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.019, N = 4 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 1.979 1.863 1.499 1.347 1.810 2.053 2.144 2.684 1.673 2.718 1.957 1.882 2.025 2.073 1.812 1.903 2.635 2.978 2.114 1.861 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 1.98 / Avg: 1.98 / Max: 1.98 Min: 1.86 / Avg: 1.86 / Max: 1.87 Min: 1.45 / Avg: 1.5 / Max: 1.54 Min: 1.33 / Avg: 1.35 / Max: 1.36 Min: 1.79 / Avg: 1.81 / Max: 1.82 Min: 2.05 / Avg: 2.05 / Max: 2.06 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 2.67 / Avg: 2.68 / Max: 2.7 Min: 1.66 / Avg: 1.67 / Max: 1.69 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 2.02 / Avg: 2.03 / Max: 2.03 Min: 2.07 / Avg: 2.07 / Max: 2.08 Min: 1.81 / Avg: 1.81 / Max: 1.82 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 2.63 / Avg: 2.63 / Max: 2.64 Min: 2.96 / Avg: 2.98 / Max: 2.99 Min: 2.11 / Avg: 2.11 / Max: 2.12 Min: 1.85 / Avg: 1.86 / Max: 1.87 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K SE +/- 26.07, N = 3 SE +/- 61.39, N = 3 SE +/- 433.11, N = 4 SE +/- 235.98, N = 3 SE +/- 128.39, N = 3 SE +/- 61.93, N = 3 SE +/- 39.29, N = 3 SE +/- 63.42, N = 3 SE +/- 112.34, N = 3 SE +/- 32.81, N = 3 SE +/- 47.34, N = 3 SE +/- 27.39, N = 3 SE +/- 9.07, N = 3 SE +/- 50.55, N = 3 SE +/- 52.82, N = 3 SE +/- 8.44, N = 3 SE +/- 9.83, N = 3 SE +/- 43.86, N = 3 SE +/- 55.54, N = 3 SE +/- 83.99, N = 3 25274 26847 33395 37125 27640 24361 23328 18634 29894 18402 25560 26575 24700 24128 27606 26287 18983 16795 23659 26881 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K Min: 25243.86 / Avg: 25274.39 / Max: 25326.27 Min: 26724.57 / Avg: 26847.3 / Max: 26911.7 Min: 32432.72 / Avg: 33395.1 / Max: 34538.91 Min: 36685.88 / Avg: 37125 / Max: 37494.37 Min: 27475.35 / Avg: 27639.96 / Max: 27892.95 Min: 24247.97 / Avg: 24360.89 / Max: 24461.41 Min: 23279.56 / Avg: 23328.38 / Max: 23406.12 Min: 18557.87 / Avg: 18634.35 / Max: 18760.23 Min: 29689.46 / Avg: 29894.23 / Max: 30076.7 Min: 18359.16 / Avg: 18402.47 / Max: 18466.82 Min: 25466.21 / Avg: 25560.04 / Max: 25617.95 Min: 26520.78 / Avg: 26575.42 / Max: 26606.09 Min: 24686.51 / Avg: 24700.11 / Max: 24717.31 Min: 24041.38 / Avg: 24128.48 / Max: 24216.49 Min: 27501.47 / Avg: 27606.4 / Max: 27669.46 Min: 26271.36 / Avg: 26287.44 / Max: 26299.92 Min: 18972.76 / Avg: 18983.41 / Max: 19003.05 Min: 16721.05 / Avg: 16795.5 / Max: 16872.91 Min: 23550.91 / Avg: 23658.54 / Max: 23736.16 Min: 26778.77 / Avg: 26881.22 / Max: 27047.74 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, 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 +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 32.58 35.87 36.35 36.04 36.72 35.73 36.21 37.26 36.55 30.84 36.08 30.81 36.76 38.10 35.30 37.25 37.57 35.36 37.34 35.88
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 32.58 / Avg: 32.58 / Max: 32.59 Min: 35.87 / Avg: 35.87 / Max: 35.88 Min: 36.31 / Avg: 36.35 / Max: 36.39 Min: 35.94 / Avg: 36.04 / Max: 36.21 Min: 36.67 / Avg: 36.72 / Max: 36.78 Min: 35.7 / Avg: 35.73 / Max: 35.77 Min: 36.18 / Avg: 36.21 / Max: 36.23 Min: 37.17 / Avg: 37.26 / Max: 37.37 Min: 36.5 / Avg: 36.55 / Max: 36.58 Min: 30.81 / Avg: 30.84 / Max: 30.86 Min: 36.04 / Avg: 36.08 / Max: 36.11 Min: 30.77 / Avg: 30.81 / Max: 30.87 Min: 36.7 / Avg: 36.76 / Max: 36.82 Min: 38.01 / Avg: 38.1 / Max: 38.19 Min: 35.24 / Avg: 35.3 / Max: 35.4 Min: 37.19 / Avg: 37.25 / Max: 37.29 Min: 37.54 / Avg: 37.57 / Max: 37.63 Min: 35.24 / Avg: 35.36 / Max: 35.49 Min: 37.23 / Avg: 37.34 / Max: 37.4 Min: 35.84 / Avg: 35.88 / Max: 35.91
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.003, N = 3 SE +/- 0.021, N = 3 SE +/- 0.011, N = 3 SE +/- 0.020, N = 3 SE +/- 0.069, N = 3 SE +/- 0.012, N = 3 SE +/- 0.055, N = 3 SE +/- 0.070, N = 3 SE +/- 0.014, N = 3 SE +/- 0.034, N = 3 SE +/- 0.058, N = 3 SE +/- 0.052, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.032, N = 3 SE +/- 0.028, N = 3 SE +/- 0.022, N = 3 SE +/- 0.066, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 7.187 6.767 7.209 6.865 7.109 7.430 10.131 15.827 6.851 14.125 7.488 10.444 7.695 7.643 6.497 8.484 15.173 15.614 10.892 6.772 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 7.18 / Avg: 7.19 / Max: 7.19 Min: 6.73 / Avg: 6.77 / Max: 6.8 Min: 7.19 / Avg: 7.21 / Max: 7.23 Min: 6.83 / Avg: 6.86 / Max: 6.9 Min: 7.02 / Avg: 7.11 / Max: 7.25 Min: 7.41 / Avg: 7.43 / Max: 7.45 Min: 10.03 / Avg: 10.13 / Max: 10.22 Min: 15.69 / Avg: 15.83 / Max: 15.93 Min: 6.82 / Avg: 6.85 / Max: 6.87 Min: 14.08 / Avg: 14.13 / Max: 14.19 Min: 7.42 / Avg: 7.49 / Max: 7.6 Min: 10.34 / Avg: 10.44 / Max: 10.51 Min: 7.69 / Avg: 7.7 / Max: 7.7 Min: 7.62 / Avg: 7.64 / Max: 7.66 Min: 6.46 / Avg: 6.5 / Max: 6.56 Min: 8.45 / Avg: 8.48 / Max: 8.54 Min: 15.13 / Avg: 15.17 / Max: 15.21 Min: 15.5 / Avg: 15.61 / Max: 15.73 Min: 10.88 / Avg: 10.89 / Max: 10.91 Min: 6.76 / Avg: 6.77 / Max: 6.79 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K SE +/- 13.41, N = 3 SE +/- 119.40, N = 3 SE +/- 52.77, N = 3 SE +/- 92.56, N = 3 SE +/- 343.06, N = 3 SE +/- 54.68, N = 3 SE +/- 133.31, N = 3 SE +/- 70.19, N = 3 SE +/- 75.81, N = 3 SE +/- 41.67, N = 3 SE +/- 257.54, N = 3 SE +/- 120.60, N = 3 SE +/- 9.77, N = 3 SE +/- 40.52, N = 3 SE +/- 187.07, N = 3 SE +/- 98.09, N = 3 SE +/- 24.14, N = 3 SE +/- 68.03, N = 3 SE +/- 17.13, N = 3 SE +/- 45.88, N = 3 34826 36999 34785 36550 35249 33686 24697 15804 36572 17707 33447 23954 32539 32751 38540 29493 16485 16021 22972 36967 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7K 14K 21K 28K 35K Min: 34805.18 / Avg: 34825.59 / Max: 34850.86 Min: 36803.87 / Avg: 36998.77 / Max: 37215.73 Min: 34688.51 / Avg: 34784.98 / Max: 34870.28 Min: 36387.68 / Avg: 36550.04 / Max: 36708.24 Min: 34574.19 / Avg: 35248.66 / Max: 35694.91 Min: 33587.24 / Avg: 33686.48 / Max: 33775.91 Min: 24473.27 / Avg: 24696.63 / Max: 24934.4 Min: 15702.99 / Avg: 15804.25 / Max: 15939.08 Min: 36488.4 / Avg: 36572 / Max: 36723.35 Min: 17626.81 / Avg: 17707.46 / Max: 17765.95 Min: 32935.76 / Avg: 33446.85 / Max: 33757.82 Min: 23803.1 / Avg: 23954.31 / Max: 24192.65 Min: 32528.13 / Avg: 32539.44 / Max: 32558.9 Min: 32695.26 / Avg: 32751.07 / Max: 32829.86 Min: 38166.46 / Avg: 38540.36 / Max: 38739.15 Min: 29298.25 / Avg: 29493.13 / Max: 29610.16 Min: 16444.32 / Avg: 16485.32 / Max: 16527.91 Min: 15905.97 / Avg: 16020.62 / Max: 16141.4 Min: 22941.92 / Avg: 22971.81 / Max: 23001.27 Min: 36896.39 / Avg: 36967.35 / Max: 37053.21 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, 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 +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 0.540 0.487 0.343 0.346 0.386 0.572 0.804 1.730 0.390 1.400 0.528 0.741 0.511 0.657 0.455 0.876 1.638 1.580 1.104 0.488 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.49 / Avg: 0.49 / Max: 0.49 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: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 1.72 / Avg: 1.73 / Max: 1.74 Min: 0.39 / Avg: 0.39 / Max: 0.39 Min: 1.39 / Avg: 1.4 / Max: 1.41 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.74 / Avg: 0.74 / Max: 0.74 Min: 0.51 / Avg: 0.51 / Max: 0.51 Min: 0.65 / Avg: 0.66 / Max: 0.66 Min: 0.45 / Avg: 0.46 / Max: 0.46 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.58 / Avg: 1.58 / Max: 1.59 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 0.48 / Avg: 0.49 / Max: 0.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 160K 320K 480K 640K 800K SE +/- 744.17, N = 3 SE +/- 1272.74, N = 3 SE +/- 11534.89, N = 3 SE +/- 11784.18, N = 3 SE +/- 1866.98, N = 3 SE +/- 148.41, N = 3 SE +/- 458.18, N = 3 SE +/- 390.58, N = 3 SE +/- 1753.24, N = 3 SE +/- 763.33, N = 3 SE +/- 1819.29, N = 3 SE +/- 595.69, N = 3 SE +/- 1360.81, N = 3 SE +/- 964.32, N = 3 SE +/- 1853.99, N = 3 SE +/- 371.28, N = 3 SE +/- 242.40, N = 3 SE +/- 281.99, N = 3 SE +/- 190.54, N = 3 SE +/- 3314.57, N = 3 463582 514016 731736 725672 649201 437752 311207 144558 642567 178724 474244 337875 489956 381123 550558 285548 152685 158358 226615 513483 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130K 260K 390K 520K 650K Min: 462640.97 / Avg: 463581.66 / Max: 465050.85 Min: 511766.55 / Avg: 514016.17 / Max: 516172.49 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: 437599.54 / Avg: 437751.6 / Max: 438048.38 Min: 310297.61 / Avg: 311206.78 / Max: 311760.54 Min: 144006.14 / Avg: 144558.41 / Max: 145312.98 Min: 639083.37 / Avg: 642567.28 / Max: 644653.15 Min: 177208.31 / Avg: 178724.19 / Max: 179639.08 Min: 471317.66 / Avg: 474244.13 / Max: 477579.87 Min: 337174.62 / Avg: 337874.52 / Max: 339059.42 Min: 487238.87 / Avg: 489955.82 / Max: 491452.38 Min: 379914.86 / Avg: 381122.97 / Max: 383028.99 Min: 546858.3 / Avg: 550558.13 / Max: 552620.87 Min: 285054.9 / Avg: 285547.86 / Max: 286275.27 Min: 152214.65 / Avg: 152685.35 / Max: 153021.23 Min: 157829.21 / Avg: 158358.26 / Max: 158791.99 Min: 226256.52 / Avg: 226615.41 / Max: 226905.81 Min: 506902.52 / Avg: 513483.29 / Max: 517465.87 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.025, N = 3 SE +/- 0.010, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.012, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.014, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 2.984 2.952 3.014 2.934 3.245 3.076 3.584 5.397 3.095 5.079 3.184 3.989 3.232 3.144 2.814 3.144 5.162 5.540 3.773 2.947 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.97 / Avg: 2.98 / Max: 3.01 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 3 / Avg: 3.01 / Max: 3.03 Min: 2.89 / Avg: 2.93 / Max: 2.97 Min: 3.23 / Avg: 3.25 / Max: 3.26 Min: 3.06 / Avg: 3.08 / Max: 3.09 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 5.4 / Avg: 5.4 / Max: 5.4 Min: 3.07 / Avg: 3.1 / Max: 3.11 Min: 5.07 / Avg: 5.08 / Max: 5.09 Min: 3.18 / Avg: 3.18 / Max: 3.19 Min: 3.95 / Avg: 3.99 / Max: 4.02 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 3.14 / Avg: 3.14 / Max: 3.15 Min: 2.81 / Avg: 2.81 / Max: 2.83 Min: 3.12 / Avg: 3.14 / Max: 3.16 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.52 / Avg: 5.54 / Max: 5.55 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 2.94 / Avg: 2.95 / Max: 2.95 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8K 16K 24K 32K 40K SE +/- 148.55, N = 3 SE +/- 103.00, N = 3 SE +/- 101.15, N = 3 SE +/- 299.63, N = 3 SE +/- 102.56, N = 3 SE +/- 83.89, N = 3 SE +/- 7.57, N = 3 SE +/- 6.01, N = 3 SE +/- 118.60, N = 3 SE +/- 18.08, N = 3 SE +/- 51.77, N = 3 SE +/- 117.64, N = 3 SE +/- 86.15, N = 3 SE +/- 29.87, N = 3 SE +/- 78.00, N = 3 SE +/- 146.28, N = 3 SE +/- 17.46, N = 3 SE +/- 27.93, N = 3 SE +/- 16.91, N = 3 SE +/- 21.81, N = 3 33552 33924 33238 34154 30867 32549 27933 18537 32370 19700 31451 25093 30982 31848 35592 31841 19383 18060 26523 33986 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K Min: 33256.53 / Avg: 33552.19 / Max: 33725.41 Min: 33718.43 / Avg: 33924.16 / Max: 34036.14 Min: 33083.24 / Avg: 33238.13 / Max: 33428.27 Min: 33721.02 / Avg: 34154.35 / Max: 34729.48 Min: 30698.16 / Avg: 30866.88 / Max: 31052.26 Min: 32428.24 / Avg: 32548.65 / Max: 32710.05 Min: 27921.58 / Avg: 27932.63 / Max: 27947.12 Min: 18525.46 / Avg: 18537.25 / Max: 18545.21 Min: 32178.15 / Avg: 32369.75 / Max: 32586.65 Min: 19663.54 / Avg: 19699.69 / Max: 19718.67 Min: 31352.08 / Avg: 31450.92 / Max: 31527.01 Min: 24912.02 / Avg: 25092.89 / Max: 25313.65 Min: 30849.2 / Avg: 30982.07 / Max: 31143.51 Min: 31809.01 / Avg: 31848.24 / Max: 31906.87 Min: 35443.76 / Avg: 35592.46 / Max: 35707.68 Min: 31637.31 / Avg: 31841.25 / Max: 32124.87 Min: 19360.66 / Avg: 19382.71 / Max: 19417.19 Min: 18028.59 / Avg: 18060.48 / Max: 18116.14 Min: 26491.7 / Avg: 26523.04 / Max: 26549.72 Min: 33945.7 / Avg: 33985.57 / Max: 34020.84 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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 +/- 0.001, 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 +/- 0.001, 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 +/- 0.000, N = 3 0.234 0.203 0.135 0.138 0.151 0.246 0.336 0.650 0.154 0.562 0.220 0.317 0.215 0.279 0.189 0.354 0.639 0.632 0.438 0.202 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.23 / Avg: 0.23 / Max: 0.24 Min: 0.2 / Avg: 0.2 / Max: 0.2 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: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.64 / Avg: 0.64 / Max: 0.64 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.2 / Avg: 0.2 / Max: 0.2 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 160K 320K 480K 640K 800K SE +/- 969.08, N = 3 SE +/- 1887.75, N = 3 SE +/- 827.25, N = 3 SE +/- 4530.06, N = 3 SE +/- 1797.71, N = 3 SE +/- 1670.95, N = 3 SE +/- 389.05, N = 3 SE +/- 254.87, N = 3 SE +/- 2221.89, N = 3 SE +/- 241.14, N = 3 SE +/- 470.31, N = 3 SE +/- 683.10, N = 3 SE +/- 111.05, N = 3 SE +/- 1232.15, N = 3 SE +/- 546.50, N = 3 SE +/- 966.61, N = 3 SE +/- 205.85, N = 3 SE +/- 305.74, N = 3 SE +/- 329.91, N = 3 SE +/- 177.44, N = 3 427421 492677 743304 727901 663004 407055 298191 153957 649224 177920 455775 315464 466511 358726 531391 282418 156630 158436 228748 495910 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130K 260K 390K 520K 650K Min: 425483.96 / Avg: 427421.1 / Max: 428444.12 Min: 490194.35 / Avg: 492676.87 / Max: 496381.59 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: 403723.1 / Avg: 407054.86 / Max: 408946.14 Min: 297431.92 / Avg: 298190.97 / Max: 298718.73 Min: 153447.84 / Avg: 153956.74 / Max: 154236.45 Min: 645401.97 / Avg: 649223.99 / Max: 653098.28 Min: 177454.45 / Avg: 177919.83 / Max: 178262.11 Min: 454920.9 / Avg: 455775.26 / Max: 456543.22 Min: 314189.87 / Avg: 315463.89 / Max: 316528.12 Min: 466312.01 / Avg: 466511.04 / Max: 466695.91 Min: 356400.28 / Avg: 358726.15 / Max: 360594.31 Min: 530679.58 / Avg: 531390.67 / Max: 532465.07 Min: 281209.04 / Avg: 282418.32 / Max: 284329.18 Min: 156252.68 / Avg: 156629.93 / Max: 156961.35 Min: 157865.28 / Avg: 158436.38 / Max: 158911.19 Min: 228141.19 / Avg: 228748.21 / Max: 229275.69 Min: 495717.03 / Avg: 495910.37 / Max: 496264.76 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0853 0.1706 0.2559 0.3412 0.4265 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 0.307 0.324 0.334 0.321 0.329 0.332 0.355 0.370 0.324 0.327 0.333 0.330 0.349 0.338 0.319 0.332 0.379 0.375 0.338 0.327 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.3 / Avg: 0.31 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.32 / Avg: 0.32 / 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: 0.33 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.34 / Max: 0.34 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.37 / Avg: 0.38 / Max: 0.38 Min: 0.33 / Avg: 0.34 / Max: 0.35 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: 100 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 SE +/- 44.73, N = 3 SE +/- 36.68, N = 3 SE +/- 18.09, N = 3 SE +/- 19.93, N = 3 SE +/- 16.57, N = 3 SE +/- 3.04, N = 3 SE +/- 17.23, N = 3 SE +/- 36.77, N = 3 SE +/- 31.43, N = 3 SE +/- 5.57, N = 3 SE +/- 36.94, N = 3 SE +/- 12.55, N = 3 SE +/- 38.78, N = 3 SE +/- 20.43, N = 3 SE +/- 22.48, N = 3 SE +/- 9.25, N = 3 SE +/- 11.61, N = 3 SE +/- 11.58, N = 3 SE +/- 41.46, N = 3 SE +/- 16.12, N = 3 3262 3086 2993 3118 3037 3017 2821 2706 3089 3060 3007 3025 2870 2958 3136 3010 2638 2666 2959 3064 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600 1200 1800 2400 3000 Min: 3176.93 / Avg: 3261.79 / Max: 3328.76 Min: 3012.63 / Avg: 3085.97 / Max: 3124.23 Min: 2957.29 / Avg: 2992.6 / Max: 3017.08 Min: 3081.23 / Avg: 3117.96 / Max: 3149.71 Min: 3005.01 / Avg: 3037.11 / Max: 3060.32 Min: 3013.25 / Avg: 3017.3 / Max: 3023.25 Min: 2797.47 / Avg: 2821.48 / Max: 2854.9 Min: 2653.24 / Avg: 2706.36 / Max: 2776.95 Min: 3030.41 / Avg: 3088.86 / Max: 3138.1 Min: 3050.34 / Avg: 3060.33 / Max: 3069.58 Min: 2961.68 / Avg: 3007.13 / Max: 3080.29 Min: 3001.96 / Avg: 3025.16 / Max: 3045.07 Min: 2816.65 / Avg: 2869.87 / Max: 2945.34 Min: 2927.75 / Avg: 2958.16 / Max: 2996.99 Min: 3091.94 / Avg: 3135.97 / Max: 3165.84 Min: 2992.58 / Avg: 3010.35 / Max: 3023.7 Min: 2624.07 / Avg: 2637.91 / Max: 2660.98 Min: 2642.62 / Avg: 2665.73 / Max: 2678.58 Min: 2880.76 / Avg: 2959.07 / Max: 3021.81 Min: 3033.37 / Avg: 3063.79 / Max: 3088.28 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0752 0.1504 0.2256 0.3008 0.376 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 +/- 0.001, 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 +/- 0.001, 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 +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.108 0.105 0.076 0.080 0.085 0.118 0.177 0.331 0.089 0.295 0.112 0.162 0.104 0.133 0.101 0.182 0.333 0.334 0.235 0.106 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 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: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.29 / Avg: 0.29 / Max: 0.3 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.23 / Avg: 0.24 / Max: 0.24 Min: 0.11 / Avg: 0.11 / Max: 0.11 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140K 280K 420K 560K 700K SE +/- 3216.95, N = 3 SE +/- 918.89, N = 3 SE +/- 3697.32, N = 3 SE +/- 1696.19, N = 3 SE +/- 8591.53, N = 3 SE +/- 737.75, N = 3 SE +/- 1102.05, N = 3 SE +/- 149.15, N = 3 SE +/- 1435.30, N = 3 SE +/- 355.78, N = 3 SE +/- 2589.99, N = 3 SE +/- 4054.87, N = 3 SE +/- 2525.65, N = 3 SE +/- 1476.34, N = 3 SE +/- 4023.11, N = 3 SE +/- 188.91, N = 3 SE +/- 59.09, N = 3 SE +/- 365.30, N = 3 SE +/- 495.78, N = 3 SE +/- 2498.86, N = 3 461915 476054 662148 627200 584324 422751 283189 150981 561006 169779 448194 309222 479309 375491 496135 275173 150038 149789 212371 473689 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110K 220K 330K 440K 550K Min: 455559.41 / Avg: 461914.86 / Max: 465960.07 Min: 474618.02 / Avg: 476053.91 / Max: 477765.2 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: 421326.32 / Avg: 422751.18 / Max: 423795.51 Min: 281583.18 / Avg: 283188.99 / Max: 285299.4 Min: 150724.14 / Avg: 150981.09 / Max: 151240.8 Min: 558840.46 / Avg: 561005.84 / Max: 563720.58 Min: 169162.65 / Avg: 169778.88 / Max: 170395.1 Min: 443042.26 / Avg: 448194.42 / Max: 451234.84 Min: 301122.23 / Avg: 309222.34 / Max: 313614.47 Min: 475531.25 / Avg: 479308.72 / Max: 484101.72 Min: 373949.43 / Avg: 375491.2 / Max: 378442.89 Min: 488299.95 / Avg: 496135.11 / Max: 501638.24 Min: 274874.9 / Avg: 275173.32 / Max: 275523.21 Min: 149922.88 / Avg: 150037.64 / Max: 150119.45 Min: 149174.95 / Avg: 149789.36 / Max: 150438.91 Min: 211623.16 / Avg: 212371.49 / Max: 213309.04 Min: 468862.37 / Avg: 473688.87 / Max: 477225.34 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, 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 +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 26.20 26.02 20.96 20.97 22.28 29.07 36.77 65.84 22.53 52.39 27.43 30.98 26.28 32.75 24.83 40.04 64.50 60.02 47.62 26.11
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 Min: 26.09 / Avg: 26.2 / Max: 26.3 Min: 25.97 / Avg: 26.02 / Max: 26.06 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: 29.03 / Avg: 29.07 / Max: 29.1 Min: 36.55 / Avg: 36.77 / Max: 36.99 Min: 65.76 / Avg: 65.84 / Max: 65.98 Min: 22.46 / Avg: 22.53 / Max: 22.57 Min: 52.34 / Avg: 52.39 / Max: 52.43 Min: 27.37 / Avg: 27.43 / Max: 27.47 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 26.19 / Avg: 26.28 / Max: 26.46 Min: 32.56 / Avg: 32.75 / Max: 33.03 Min: 24.8 / Avg: 24.83 / Max: 24.89 Min: 39.94 / Avg: 40.04 / Max: 40.18 Min: 64.46 / Avg: 64.5 / Max: 64.54 Min: 60 / Avg: 60.02 / Max: 60.04 Min: 47.58 / Avg: 47.62 / Max: 47.67 Min: 25.93 / Avg: 26.11 / Max: 26.31
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600K 1200K 1800K 2400K 3000K SE +/- 16169.26, N = 11 SE +/- 16618.43, N = 3 SE +/- 39160.90, N = 3 SE +/- 21024.79, N = 13 SE +/- 39699.95, N = 3 SE +/- 18509.29, N = 3 SE +/- 11715.02, N = 3 SE +/- 7205.27, N = 5 SE +/- 25647.54, N = 15 SE +/- 5978.53, N = 3 SE +/- 15859.94, N = 15 SE +/- 6477.91, N = 3 SE +/- 17880.35, N = 3 SE +/- 10570.43, N = 3 SE +/- 22468.40, N = 3 SE +/- 6805.34, N = 3 SE +/- 2452.18, N = 3 SE +/- 6265.32, N = 3 SE +/- 4551.15, N = 3 SE +/- 2330.00, N = 3 1822559 1839236 2591791 2571578 2657818 1686640 1193703 610628 2328453 762256 1656161 1470326 1948887 1482377 2071664 986225 631618 644878 868519 1897261 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 500K 1000K 1500K 2000K 2500K Min: 1719018 / Avg: 1822558.64 / Max: 1893316 Min: 1806283 / Avg: 1839235.67 / Max: 1859468 Min: 2516831 / Avg: 2591791 / Max: 2648930 Min: 2423539 / Avg: 2571578.46 / Max: 2689288 Min: 2583950 / Avg: 2657818 / Max: 2719969 Min: 1652517 / Avg: 1686640.33 / Max: 1716131 Min: 1172032 / Avg: 1193703.33 / Max: 1212252 Min: 592286 / Avg: 610627.6 / Max: 636440 Min: 2175791 / Avg: 2328453 / Max: 2490030 Min: 753807 / Avg: 762256.33 / Max: 773808 Min: 1522253 / Avg: 1656161.2 / Max: 1737769 Min: 1458373 / Avg: 1470325.67 / Max: 1480631 Min: 1923349 / Avg: 1948887 / Max: 1983335 Min: 1461250 / Avg: 1482377.33 / Max: 1493596 Min: 2041862 / Avg: 2071664.33 / Max: 2115692 Min: 976561 / Avg: 986224.67 / Max: 999357 Min: 626851 / Avg: 631618.33 / Max: 634999 Min: 632353 / Avg: 644877.67 / Max: 651475 Min: 859551 / Avg: 868519.33 / Max: 874351 Min: 1892618 / Avg: 1897261.33 / Max: 1899924 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 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 +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 18.9 20.1 20.5 20.5 20.5 20.0 20.5 21.6 20.3 17.5 20.2 17.4 20.5 21.6 20.0 21.2 21.5 20.2 21.3 20.3
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 18.9 / Avg: 18.93 / Max: 19 Min: 20.1 / Avg: 20.1 / Max: 20.1 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.4 / Avg: 20.47 / Max: 20.5 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 21.5 / Avg: 21.57 / Max: 21.6 Min: 20.3 / Avg: 20.3 / Max: 20.3 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 17.3 / Avg: 17.37 / Max: 17.4 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 21.6 / Avg: 21.6 / Max: 21.6 Min: 21.2 / Avg: 21.2 / Max: 21.2 Min: 21.5 / Avg: 21.53 / Max: 21.6 Min: 20.1 / Avg: 20.17 / Max: 20.2 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 20.3 / Avg: 20.33 / Max: 20.4
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300K 600K 900K 1200K 1500K SE +/- 5088.42, N = 3 SE +/- 3413.67, N = 3 SE +/- 315.40, N = 3 SE +/- 2361.14, N = 3 SE +/- 913.29, N = 3 SE +/- 4296.32, N = 3 SE +/- 3058.86, N = 3 SE +/- 309.16, N = 3 SE +/- 1097.23, N = 3 SE +/- 254.64, N = 3 SE +/- 5097.39, N = 3 SE +/- 518.02, N = 3 SE +/- 10861.25, N = 3 SE +/- 1079.01, N = 3 SE +/- 5237.13, N = 3 SE +/- 430.91, N = 3 SE +/- 236.56, N = 3 SE +/- 326.66, N = 3 SE +/- 946.65, N = 3 SE +/- 1516.40, N = 3 989555.86 934407.24 1177095.85 1146666.31 1188218.25 890248.99 609406.36 298347.30 1171853.21 359429.77 881494.06 709203.15 908073.32 798236.46 952974.53 582430.67 295421.35 312587.17 439772.58 943555.64 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K Min: 982197.67 / Avg: 989555.86 / Max: 999323.37 Min: 929332.04 / Avg: 934407.24 / Max: 940899.74 Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68 Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33 Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71 Min: 885649.71 / Avg: 890248.99 / Max: 898834.32 Min: 603299.29 / Avg: 609406.36 / Max: 612772.48 Min: 297808.32 / Avg: 298347.3 / Max: 298879.2 Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87 Min: 359120.16 / Avg: 359429.77 / Max: 359934.76 Min: 871341.05 / Avg: 881494.06 / Max: 887368.86 Min: 708199.62 / Avg: 709203.15 / Max: 709927.9 Min: 892857.14 / Avg: 908073.32 / Max: 929107.19 Min: 796085.91 / Avg: 798236.46 / Max: 799467.02 Min: 942516.32 / Avg: 952974.53 / Max: 958705.75 Min: 581641.93 / Avg: 582430.67 / Max: 583125.8 Min: 295184.8 / Avg: 295421.35 / Max: 295894.46 Min: 312184.97 / Avg: 312587.17 / Max: 313234.14 Min: 438746.83 / Avg: 439772.58 / Max: 441663.6 Min: 941038.08 / Avg: 943555.64 / Max: 946278.96 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.0143, N = 3 SE +/- 0.0548, N = 3 SE +/- 0.1030, N = 3 SE +/- 0.0803, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0331, N = 3 SE +/- 0.0400, N = 3 SE +/- 0.0256, N = 3 SE +/- 0.0515, N = 3 SE +/- 0.0320, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.1215, N = 3 SE +/- 0.0427, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0321, N = 3 SE +/- 0.0731, N = 3 26.1195 30.1246 47.8444 46.9800 40.4891 24.3318 16.7132 7.8320 40.7103 9.3919 27.6834 18.7936 28.7846 21.1889 32.0731 15.7939 8.0257 8.4046 12.1514 30.0539
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 26.1 / Avg: 26.12 / Max: 26.15 Min: 30.02 / Avg: 30.12 / Max: 30.2 Min: 47.71 / Avg: 47.84 / Max: 48.05 Min: 46.89 / Avg: 46.98 / Max: 47.14 Min: 40.46 / Avg: 40.49 / Max: 40.53 Min: 24.3 / Avg: 24.33 / Max: 24.4 Min: 16.63 / Avg: 16.71 / Max: 16.77 Min: 7.8 / Avg: 7.83 / Max: 7.88 Min: 40.64 / Avg: 40.71 / Max: 40.81 Min: 9.35 / Avg: 9.39 / Max: 9.45 Min: 27.6 / Avg: 27.68 / Max: 27.73 Min: 18.63 / Avg: 18.79 / Max: 19.03 Min: 28.71 / Avg: 28.78 / Max: 28.86 Min: 21.14 / Avg: 21.19 / Max: 21.24 Min: 31.99 / Avg: 32.07 / Max: 32.12 Min: 15.75 / Avg: 15.79 / Max: 15.83 Min: 8 / Avg: 8.03 / Max: 8.05 Min: 8.36 / Avg: 8.4 / Max: 8.43 Min: 12.09 / Avg: 12.15 / Max: 12.19 Min: 29.97 / Avg: 30.05 / Max: 30.2
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.8415 1.683 2.5245 3.366 4.2075 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 +/- 0.00, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.58 3.19 3.09 3.12 3.12 3.21 3.17 2.96 3.12 3.59 3.17 3.74 3.12 3.01 3.25 3.08 2.93 3.09 2.99 3.18 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 3.57 / Avg: 3.58 / Max: 3.59 Min: 3.19 / Avg: 3.19 / Max: 3.19 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.12 / Avg: 3.12 / Max: 3.13 Min: 3.11 / Avg: 3.12 / Max: 3.13 Min: 3.2 / Avg: 3.21 / Max: 3.22 Min: 3.15 / Avg: 3.17 / Max: 3.2 Min: 2.95 / Avg: 2.96 / Max: 2.97 Min: 3.12 / Avg: 3.12 / Max: 3.12 Min: 3.57 / Avg: 3.59 / Max: 3.6 Min: 3.16 / Avg: 3.17 / Max: 3.18 Min: 3.73 / Avg: 3.74 / Max: 3.75 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 2.99 / Avg: 3.01 / Max: 3.03 Min: 3.23 / Avg: 3.25 / Max: 3.27 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 3.08 / Avg: 3.09 / Max: 3.1 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 3.17 / Avg: 3.18 / Max: 3.18 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4M 8M 12M 16M 20M SE +/- 196361.88, N = 3 SE +/- 15756.34, N = 3 SE +/- 8693.64, N = 3 SE +/- 23882.84, N = 3 SE +/- 82031.38, N = 3 SE +/- 36622.92, N = 3 SE +/- 162466.69, N = 3 SE +/- 65857.23, N = 3 SE +/- 39273.11, N = 3 SE +/- 98081.03, N = 4 SE +/- 68594.59, N = 3 SE +/- 92644.45, N = 10 SE +/- 181654.19, N = 3 SE +/- 28849.95, N = 3 SE +/- 31948.05, N = 3 SE +/- 17504.90, N = 3 SE +/- 69777.45, N = 3 SE +/- 114237.77, N = 3 SE +/- 38085.55, N = 3 SE +/- 32302.81, N = 3 12740323.69 15763728.21 18193151.02 17265800.06 16073708.79 13675041.19 10809670.89 8164377.04 16692287.18 7202954.68 15441087.32 10221764.78 12736083.57 12882446.44 15672529.45 13739556.11 8377375.75 6754401.34 11819767.35 15730105.77 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: System V Message Passing EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3M 6M 9M 12M 15M Min: 12436522.18 / Avg: 12740323.69 / Max: 13107752.74 Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16 Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54 Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18 Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62 Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43 Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58 Min: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93 Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69 Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21 Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7 Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37 Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11 Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91 Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35 Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16 Min: 8238743.75 / Avg: 8377375.75 / Max: 8460568.05 Min: 6580428.23 / Avg: 6754401.34 / Max: 6969648.65 Min: 11764168.15 / Avg: 11819767.35 / Max: 11892656.58 Min: 15674170.83 / Avg: 15730105.77 / Max: 15786071.05 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.0580, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.1026, N = 3 SE +/- 0.2108, N = 3 SE +/- 0.0818, N = 3 SE +/- 0.0199, N = 3 SE +/- 0.1564, N = 3 SE +/- 0.0338, N = 3 SE +/- 0.0627, N = 3 SE +/- 0.0274, N = 3 SE +/- 0.0437, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0542, N = 3 SE +/- 0.0388, N = 3 SE +/- 0.0447, N = 3 SE +/- 0.0125, N = 3 SE +/- 0.0025, N = 3 SE +/- 0.0426, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.3292, N = 3 27.4844 31.1622 49.5785 48.7032 42.4040 25.4338 17.3250 8.1763 42.2680 9.8471 28.6727 19.7680 29.8188 22.0671 33.3894 16.4495 8.3957 8.8254 12.6906 31.0041
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 27.39 / Avg: 27.48 / Max: 27.59 Min: 31.07 / Avg: 31.16 / Max: 31.23 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: 25.4 / Avg: 25.43 / Max: 25.46 Min: 17.03 / Avg: 17.33 / Max: 17.57 Min: 8.11 / Avg: 8.18 / Max: 8.23 Min: 42.15 / Avg: 42.27 / Max: 42.37 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 28.6 / Avg: 28.67 / Max: 28.75 Min: 19.75 / Avg: 19.77 / Max: 19.79 Min: 29.74 / Avg: 29.82 / Max: 29.92 Min: 22.01 / Avg: 22.07 / Max: 22.14 Min: 33.3 / Avg: 33.39 / Max: 33.44 Min: 16.43 / Avg: 16.45 / Max: 16.47 Min: 8.39 / Avg: 8.4 / Max: 8.4 Min: 8.76 / Avg: 8.83 / Max: 8.91 Min: 12.68 / Avg: 12.69 / Max: 12.7 Min: 30.36 / Avg: 31 / Max: 31.43
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 22.04 18.77 18.07 18.27 18.46 18.76 18.97 18.13 18.12 22.33 18.44 22.98 18.40 17.65 18.86 18.68 17.10 18.23 18.71 18.53 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 21.97 / Avg: 22.04 / Max: 22.17 Min: 18.47 / Avg: 18.77 / Max: 19.08 Min: 17.9 / Avg: 18.07 / Max: 18.19 Min: 18.08 / Avg: 18.27 / Max: 18.46 Min: 18.41 / Avg: 18.46 / Max: 18.52 Min: 18.6 / Avg: 18.76 / Max: 19.08 Min: 18.84 / Avg: 18.97 / Max: 19.04 Min: 18 / Avg: 18.13 / Max: 18.37 Min: 18.09 / Avg: 18.12 / Max: 18.14 Min: 21.98 / Avg: 22.33 / Max: 22.76 Min: 18.28 / Avg: 18.44 / Max: 18.53 Min: 22.8 / Avg: 22.98 / Max: 23.16 Min: 18.31 / Avg: 18.4 / Max: 18.46 Min: 17.62 / Avg: 17.65 / Max: 17.71 Min: 18.67 / Avg: 18.86 / Max: 19.06 Min: 18.6 / Avg: 18.68 / Max: 18.77 Min: 16.86 / Avg: 17.1 / Max: 17.53 Min: 17.95 / Avg: 18.23 / Max: 18.42 Min: 18.57 / Avg: 18.71 / Max: 18.98 Min: 18.3 / Avg: 18.53 / Max: 18.82 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 3.68, N = 3 SE +/- 3.81, N = 3 SE +/- 2.19, N = 3 SE +/- 4.75, N = 3 SE +/- 8.34, N = 15 SE +/- 8.62, N = 3 SE +/- 3.78, N = 3 SE +/- 1.15, N = 3 SE +/- 7.28, N = 3 SE +/- 0.46, N = 3 SE +/- 5.12, N = 3 SE +/- 1.41, N = 3 SE +/- 4.59, N = 3 SE +/- 7.21, N = 3 SE +/- 3.71, N = 3 SE +/- 0.93, N = 3 SE +/- 0.93, N = 3 SE +/- 0.72, N = 3 SE +/- 0.52, N = 3 SE +/- 2.26, N = 3 768.16 857.35 861.61 710.07 851.38 722.39 562.70 335.86 876.16 346.00 835.18 593.00 734.97 601.42 854.03 573.75 313.26 316.48 418.94 855.91 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 150 300 450 600 750 Min: 760.8 / Avg: 768.16 / Max: 772.02 Min: 849.83 / Avg: 857.35 / Max: 862.22 Min: 857.78 / Avg: 861.61 / Max: 865.35 Min: 701.61 / Avg: 710.07 / Max: 718.03 Min: 820.21 / Avg: 851.38 / Max: 945 Min: 706.02 / Avg: 722.39 / Max: 735.24 Min: 555.16 / Avg: 562.7 / Max: 566.8 Min: 334.12 / Avg: 335.86 / Max: 338.03 Min: 864.6 / Avg: 876.16 / Max: 889.6 Min: 345.39 / Avg: 346 / Max: 346.9 Min: 826.38 / Avg: 835.18 / Max: 844.1 Min: 590.18 / Avg: 593 / Max: 594.5 Min: 727.27 / Avg: 734.97 / Max: 743.16 Min: 589.76 / Avg: 601.42 / Max: 614.59 Min: 846.67 / Avg: 854.03 / Max: 858.59 Min: 572.74 / Avg: 573.75 / Max: 575.61 Min: 311.97 / Avg: 313.26 / Max: 315.06 Min: 315.07 / Avg: 316.48 / Max: 317.43 Min: 418.01 / Avg: 418.94 / Max: 419.82 Min: 851.43 / Avg: 855.91 / Max: 858.66 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 160 320 480 640 800 SE +/- 0.05, N = 3 SE +/- 1.14, N = 3 SE +/- 0.22, N = 3 SE +/- 1.11, N = 3 SE +/- 3.28, N = 3 SE +/- 0.38, N = 3 SE +/- 0.63, N = 3 SE +/- 0.66, N = 3 SE +/- 0.84, N = 3 SE +/- 1.40, N = 8 SE +/- 0.82, N = 3 SE +/- 0.72, N = 3 SE +/- 1.34, N = 3 SE +/- 0.58, N = 3 SE +/- 1.41, N = 3 SE +/- 0.38, N = 3 SE +/- 0.44, N = 3 SE +/- 0.57, N = 3 SE +/- 1.17, N = 3 SE +/- 1.72, N = 3 382.48 437.71 720.68 712.74 601.79 355.44 236.25 112.92 593.06 136.68 399.46 278.96 420.92 309.62 466.71 227.20 113.46 120.20 170.19 435.96 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130 260 390 520 650 Min: 382.4 / Avg: 382.48 / Max: 382.57 Min: 435.47 / Avg: 437.71 / Max: 439.17 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: 354.83 / Avg: 355.44 / Max: 356.13 Min: 235.37 / Avg: 236.25 / Max: 237.47 Min: 111.63 / Avg: 112.92 / Max: 113.77 Min: 591.77 / Avg: 593.06 / Max: 594.63 Min: 127.17 / Avg: 136.68 / Max: 139.47 Min: 398.4 / Avg: 399.46 / Max: 401.07 Min: 277.53 / Avg: 278.96 / Max: 279.87 Min: 418.33 / Avg: 420.92 / Max: 422.83 Min: 308.5 / Avg: 309.62 / Max: 310.43 Min: 464.07 / Avg: 466.71 / Max: 468.9 Min: 226.63 / Avg: 227.2 / Max: 227.93 Min: 112.6 / Avg: 113.46 / Max: 114.07 Min: 119.6 / Avg: 120.2 / Max: 121.33 Min: 168.1 / Avg: 170.19 / Max: 172.13 Min: 432.87 / Avg: 435.96 / Max: 438.83 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.111, N = 3 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.272, N = 15 SE +/- 0.011, N = 3 SE +/- 0.017, N = 3 SE +/- 0.035, N = 3 SE +/- 0.038, N = 3 SE +/- 0.119, N = 15 SE +/- 0.226, N = 15 SE +/- 0.026, N = 3 SE +/- 0.009, N = 3 SE +/- 0.012, N = 3 SE +/- 0.266, N = 15 SE +/- 0.052, N = 3 SE +/- 0.173, N = 15 SE +/- 0.135, N = 3 SE +/- 0.057, N = 3 SE +/- 0.329, N = 3 SE +/- 0.056, N = 3 14.571 14.680 8.985 12.012 9.245 15.179 16.977 15.589 12.806 21.323 14.798 14.211 10.974 19.380 14.658 18.764 18.435 19.211 20.041 14.693 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 14.41 / Avg: 14.57 / Max: 14.78 Min: 14.66 / Avg: 14.68 / Max: 14.7 Min: 8.94 / Avg: 8.98 / Max: 9.01 Min: 10.44 / Avg: 12.01 / Max: 13.11 Min: 9.23 / Avg: 9.25 / Max: 9.27 Min: 15.15 / Avg: 15.18 / Max: 15.21 Min: 16.93 / Avg: 16.98 / Max: 17.05 Min: 15.51 / Avg: 15.59 / Max: 15.64 Min: 12.04 / Avg: 12.81 / Max: 13.6 Min: 19.39 / Avg: 21.32 / Max: 22.56 Min: 14.76 / Avg: 14.8 / Max: 14.85 Min: 14.2 / Avg: 14.21 / Max: 14.23 Min: 10.95 / Avg: 10.97 / Max: 10.99 Min: 18.7 / Avg: 19.38 / Max: 22.24 Min: 14.57 / Avg: 14.66 / Max: 14.75 Min: 18.11 / Avg: 18.76 / Max: 19.48 Min: 18.26 / Avg: 18.44 / Max: 18.7 Min: 19.14 / Avg: 19.21 / Max: 19.33 Min: 19.54 / Avg: 20.04 / Max: 20.66 Min: 14.61 / Avg: 14.69 / Max: 14.8 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200M 400M 600M 800M 1000M SE +/- 1557290.44, N = 3 SE +/- 2320863.50, N = 3 SE +/- 14941610.79, N = 5 SE +/- 8607660.07, N = 3 SE +/- 14142485.95, N = 4 SE +/- 7267307.29, N = 3 SE +/- 828548.78, N = 3 SE +/- 191997.00, N = 3 SE +/- 12958817.78, N = 3 SE +/- 506097.03, N = 3 SE +/- 7505047.53, N = 3 SE +/- 3887259.11, N = 3 SE +/- 6691126.83, N = 3 SE +/- 5582686.96, N = 4 SE +/- 3827416.70, N = 3 SE +/- 1775182.63, N = 3 SE +/- 509017.81, N = 3 SE +/- 582055.48, N = 3 SE +/- 1200697.76, N = 3 SE +/- 6501806.47, N = 3 508508378.36 616294829.53 1149281981.04 1123083708.67 986299971.45 424917536.89 244187311.27 63595537.41 903000809.74 117957703.69 590141135.13 326966719.16 735684027.48 384604006.18 638506395.09 187592330.55 83844100.09 105775501.86 131137677.35 628761361.90 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200M 400M 600M 800M 1000M Min: 506299751.97 / Avg: 508508378.36 / Max: 511514516.37 Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44 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: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92 Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69 Min: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13 Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61 Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65 Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55 Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82 Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53 Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17 Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11 Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75 Min: 82858529.24 / Avg: 83844100.09 / Max: 84557758.69 Min: 104768693.64 / Avg: 105775501.86 / Max: 106784987.65 Min: 129775143.86 / Avg: 131137677.35 / Max: 133531442.9 Min: 620992825.66 / Avg: 628761361.9 / Max: 641676568.26 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.24, N = 3 SE +/- 0.44, N = 3 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.25, N = 3 25.21 26.96 27.09 26.66 26.77 27.11 28.46 28.16 27.13 25.32 27.00 24.76 27.84 28.71 26.57 27.61 28.01 28.42 28.50 27.19
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 24.89 / Avg: 25.21 / Max: 25.82 Min: 26.7 / Avg: 26.96 / Max: 27.44 Min: 26.96 / Avg: 27.09 / Max: 27.3 Min: 26.6 / Avg: 26.66 / Max: 26.73 Min: 26.73 / Avg: 26.77 / Max: 26.81 Min: 26.81 / Avg: 27.11 / Max: 27.46 Min: 28.39 / Avg: 28.46 / Max: 28.52 Min: 28.08 / Avg: 28.16 / Max: 28.28 Min: 27.12 / Avg: 27.13 / Max: 27.15 Min: 24.99 / Avg: 25.32 / Max: 25.62 Min: 26.69 / Avg: 27 / Max: 27.52 Min: 24.28 / Avg: 24.76 / Max: 25.03 Min: 27.29 / Avg: 27.84 / Max: 28.45 Min: 28.39 / Avg: 28.71 / Max: 28.87 Min: 26.21 / Avg: 26.57 / Max: 26.95 Min: 27.34 / Avg: 27.61 / Max: 28.08 Min: 27.53 / Avg: 28.01 / Max: 28.9 Min: 28.28 / Avg: 28.42 / Max: 28.64 Min: 28.13 / Avg: 28.5 / Max: 28.83 Min: 26.69 / Avg: 27.19 / Max: 27.46
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 26.26 32.74 33.66 33.54 33.28 32.46 32.00 33.56 33.26 24.72 32.97 24.80 32.44 33.82 32.40 32.94 32.18 30.66 32.52 32.76 1. EPYC 7F72: rsvg-convert version 2.50.0 2. EPYC 7502P: rsvg-convert version 2.50.1 3. EPYC 7662: rsvg-convert version 2.50.1 4. EPYC 7702: rsvg-convert version 2.50.1 5. EPYC 7642: rsvg-convert version 2.50.1 6. EPYC 7402P: rsvg-convert version 2.50.1 7. EPYC 7302P: rsvg-convert version 2.50.1 8. EPYC 7232P: rsvg-convert version 2.50.1 9. EPYC 7552: rsvg-convert version 2.50.1 10. EPYC 7F32: rsvg-convert version 2.50.1 11. EPYC 7452: rsvg-convert version 2.50.1 12. EPYC 7F52: rsvg-convert version 2.50.1 13. EPYC 7532: rsvg-convert version 2.50.1 14. EPYC 7352: rsvg-convert version 2.50.1 15. EPYC 7542: rsvg-convert version 2.50.1 16. EPYC 7282: rsvg-convert version 2.50.1 17. EPYC 7252: rsvg-convert version 2.50.1 18. EPYC 7262: rsvg-convert version 2.50.1 19. EPYC 7272: rsvg-convert version 2.50.1 20. EPYC 7502: rsvg-convert version 2.50.1
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 26.19 / Avg: 26.26 / Max: 26.33 Min: 32.59 / Avg: 32.74 / Max: 32.84 Min: 33.55 / Avg: 33.66 / Max: 33.79 Min: 33.49 / Avg: 33.54 / Max: 33.6 Min: 33.22 / Avg: 33.27 / Max: 33.33 Min: 32.35 / Avg: 32.46 / Max: 32.55 Min: 31.69 / Avg: 32 / Max: 32.17 Min: 33.41 / Avg: 33.56 / Max: 33.74 Min: 33.22 / Avg: 33.26 / Max: 33.31 Min: 24.65 / Avg: 24.72 / Max: 24.81 Min: 32.85 / Avg: 32.97 / Max: 33.11 Min: 24.68 / Avg: 24.8 / Max: 24.99 Min: 31.88 / Avg: 32.44 / Max: 32.87 Min: 33.74 / Avg: 33.82 / Max: 33.87 Min: 32.37 / Avg: 32.4 / Max: 32.44 Min: 32.89 / Avg: 32.94 / Max: 32.99 Min: 31.99 / Avg: 32.18 / Max: 32.32 Min: 30.42 / Avg: 30.65 / Max: 30.84 Min: 32.35 / Avg: 32.52 / Max: 32.78 Min: 32.66 / Avg: 32.76 / Max: 32.83 1. EPYC 7F72: rsvg-convert version 2.50.0 2. EPYC 7502P: rsvg-convert version 2.50.1 3. EPYC 7662: rsvg-convert version 2.50.1 4. EPYC 7702: rsvg-convert version 2.50.1 5. EPYC 7642: rsvg-convert version 2.50.1 6. EPYC 7402P: rsvg-convert version 2.50.1 7. EPYC 7302P: rsvg-convert version 2.50.1 8. EPYC 7232P: rsvg-convert version 2.50.1 9. EPYC 7552: rsvg-convert version 2.50.1 10. EPYC 7F32: rsvg-convert version 2.50.1 11. EPYC 7452: rsvg-convert version 2.50.1 12. EPYC 7F52: rsvg-convert version 2.50.1 13. EPYC 7532: rsvg-convert version 2.50.1 14. EPYC 7352: rsvg-convert version 2.50.1 15. EPYC 7542: rsvg-convert version 2.50.1 16. EPYC 7282: rsvg-convert version 2.50.1 17. EPYC 7252: rsvg-convert version 2.50.1 18. EPYC 7262: rsvg-convert version 2.50.1 19. EPYC 7272: rsvg-convert version 2.50.1 20. EPYC 7502: 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 19.89 18.44 12.21 12.26 14.11 22.14 31.05 60.37 14.19 50.03 19.91 26.27 19.09 25.35 17.04 33.03 61.51 57.60 41.65 18.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 Min: 19.8 / Avg: 19.89 / Max: 20.07 Min: 18.3 / Avg: 18.44 / Max: 18.53 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: 22.06 / Avg: 22.14 / Max: 22.21 Min: 30.9 / Avg: 31.05 / Max: 31.33 Min: 60.21 / Avg: 60.37 / Max: 60.52 Min: 14.15 / Avg: 14.19 / Max: 14.22 Min: 49.81 / Avg: 50.03 / Max: 50.16 Min: 19.82 / Avg: 19.91 / Max: 20 Min: 26.18 / Avg: 26.27 / Max: 26.37 Min: 19 / Avg: 19.09 / Max: 19.15 Min: 25.21 / Avg: 25.35 / Max: 25.51 Min: 16.94 / Avg: 17.04 / Max: 17.13 Min: 32.97 / Avg: 33.03 / Max: 33.13 Min: 60.97 / Avg: 61.51 / Max: 61.97 Min: 57.29 / Avg: 57.6 / Max: 57.82 Min: 41.44 / Avg: 41.65 / Max: 41.77 Min: 18.47 / Avg: 18.51 / Max: 18.57 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K SE +/- 19.00, N = 3 SE +/- 21.22, N = 3 SE +/- 34.11, N = 3 SE +/- 33.91, N = 3 SE +/- 41.92, N = 3 SE +/- 21.95, N = 3 SE +/- 46.59, N = 3 SE +/- 21.13, N = 3 SE +/- 47.55, N = 3 SE +/- 94.23, N = 3 SE +/- 85.19, N = 3 SE +/- 56.37, N = 3 SE +/- 120.12, N = 4 SE +/- 21.51, N = 3 SE +/- 62.39, N = 3 SE +/- 18.60, N = 3 SE +/- 51.10, N = 3 SE +/- 91.17, N = 3 SE +/- 26.82, N = 3 SE +/- 73.24, N = 3 8474.7 7843.2 8321.8 8339.1 8485.3 7898.1 7464.0 4992.3 8211.2 6299.5 7704.5 8021.9 8078.1 7663.0 7767.9 6630.5 5603.3 6043.6 6268.0 7798.1 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1500 3000 4500 6000 7500 Min: 8438.3 / Avg: 8474.67 / Max: 8502.4 Min: 7818.2 / Avg: 7843.2 / Max: 7885.4 Min: 8253.7 / Avg: 8321.83 / Max: 8358.7 Min: 8271.3 / Avg: 8339.07 / Max: 8375.2 Min: 8407.9 / Avg: 8485.3 / Max: 8551.9 Min: 7872.6 / Avg: 7898.1 / Max: 7941.8 Min: 7410.3 / Avg: 7464 / Max: 7556.8 Min: 4963.2 / Avg: 4992.3 / Max: 5033.4 Min: 8157.2 / Avg: 8211.2 / Max: 8306 Min: 6179.4 / Avg: 6299.47 / Max: 6485.3 Min: 7601.2 / Avg: 7704.5 / Max: 7873.5 Min: 7956.8 / Avg: 8021.93 / Max: 8134.2 Min: 7939.2 / Avg: 8078.13 / Max: 8437.6 Min: 7630 / Avg: 7663 / Max: 7703.4 Min: 7675.6 / Avg: 7767.93 / Max: 7886.8 Min: 6604.6 / Avg: 6630.53 / Max: 6666.6 Min: 5543.9 / Avg: 5603.27 / Max: 5705 Min: 5931.9 / Avg: 6043.63 / Max: 6224.3 Min: 6238.3 / Avg: 6267.97 / Max: 6321.5 Min: 7708.2 / Avg: 7798.1 / Max: 7943.2 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 28.66 30.95 31.36 31.04 31.47 31.08 31.52 32.43 31.16 27.46 31.25 27.06 31.50 32.65 30.73 32.11 32.45 30.92 32.22 31.07
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 28.48 / Avg: 28.66 / Max: 28.8 Min: 30.61 / Avg: 30.95 / Max: 31.12 Min: 31.16 / Avg: 31.36 / Max: 31.61 Min: 30.94 / Avg: 31.04 / Max: 31.21 Min: 31.39 / Avg: 31.47 / Max: 31.61 Min: 30.92 / Avg: 31.08 / Max: 31.4 Min: 31.41 / Avg: 31.52 / Max: 31.71 Min: 32.4 / Avg: 32.43 / Max: 32.45 Min: 30.94 / Avg: 31.16 / Max: 31.56 Min: 27.36 / Avg: 27.46 / Max: 27.59 Min: 31.05 / Avg: 31.25 / Max: 31.39 Min: 27.03 / Avg: 27.06 / Max: 27.08 Min: 31.22 / Avg: 31.5 / Max: 31.87 Min: 32.51 / Avg: 32.65 / Max: 32.79 Min: 30.61 / Avg: 30.73 / Max: 30.81 Min: 32.02 / Avg: 32.11 / Max: 32.2 Min: 32.35 / Avg: 32.45 / Max: 32.52 Min: 30.65 / Avg: 30.92 / Max: 31.15 Min: 32.11 / Avg: 32.22 / Max: 32.33 Min: 30.99 / Avg: 31.07 / Max: 31.14
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140 280 420 560 700 SE +/- 2.20, N = 3 SE +/- 1.68, N = 3 SE +/- 1.27, N = 3 SE +/- 2.23, N = 3 SE +/- 0.97, N = 3 SE +/- 0.69, N = 3 SE +/- 2.24, N = 3 SE +/- 3.15, N = 3 SE +/- 1.97, N = 3 SE +/- 3.78, N = 3 SE +/- 2.27, N = 3 SE +/- 3.29, N = 3 SE +/- 6.57, N = 5 SE +/- 1.70, N = 3 SE +/- 1.77, N = 3 SE +/- 4.78, N = 3 SE +/- 0.82, N = 3 SE +/- 0.90, N = 3 SE +/- 2.58, N = 3 SE +/- 1.28, N = 3 610.59 554.85 547.26 553.10 544.37 552.58 546.00 514.90 548.14 627.38 553.03 638.63 498.78 522.61 555.91 522.70 524.17 561.08 518.46 551.71 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110 220 330 440 550 Min: 606.95 / Avg: 610.59 / Max: 614.54 Min: 551.67 / Avg: 554.85 / Max: 557.36 Min: 544.73 / Avg: 547.26 / Max: 548.69 Min: 548.69 / Avg: 553.1 / Max: 555.94 Min: 543.29 / Avg: 544.37 / Max: 546.31 Min: 551.19 / Avg: 552.58 / Max: 553.32 Min: 543.31 / Avg: 546 / Max: 550.44 Min: 509.41 / Avg: 514.9 / Max: 520.31 Min: 544.84 / Avg: 548.14 / Max: 551.64 Min: 620.31 / Avg: 627.38 / Max: 633.22 Min: 549.37 / Avg: 553.03 / Max: 557.19 Min: 633.32 / Avg: 638.63 / Max: 644.64 Min: 482.34 / Avg: 498.78 / Max: 510.26 Min: 519.72 / Avg: 522.61 / Max: 525.6 Min: 553.76 / Avg: 555.91 / Max: 559.42 Min: 515.19 / Avg: 522.7 / Max: 531.59 Min: 522.79 / Avg: 524.17 / Max: 525.64 Min: 559.5 / Avg: 561.08 / Max: 562.6 Min: 514.52 / Avg: 518.46 / Max: 523.31 Min: 549.24 / Avg: 551.71 / Max: 553.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 28.9 31.8 32.4 32.0 32.4 31.7 32.3 33.4 32.2 27.4 31.7 27.4 32.4 34.2 31.3 33.3 33.4 31.3 33.3 31.8
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 28.9 / Avg: 28.9 / Max: 28.9 Min: 31.7 / Avg: 31.77 / Max: 31.8 Min: 32.4 / Avg: 32.4 / Max: 32.4 Min: 31.9 / Avg: 32 / Max: 32.1 Min: 32.4 / Avg: 32.43 / Max: 32.5 Min: 31.7 / Avg: 31.73 / Max: 31.8 Min: 32.3 / Avg: 32.33 / Max: 32.4 Min: 33.3 / Avg: 33.37 / Max: 33.4 Min: 32.2 / Avg: 32.2 / Max: 32.2 Min: 27.3 / Avg: 27.37 / Max: 27.4 Min: 31.7 / Avg: 31.7 / Max: 31.7 Min: 27.3 / Avg: 27.4 / Max: 27.5 Min: 32.3 / Avg: 32.37 / Max: 32.4 Min: 34.2 / Avg: 34.23 / Max: 34.3 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 33.2 / Avg: 33.27 / Max: 33.3 Min: 33.4 / Avg: 33.43 / Max: 33.5 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 33.3 / Avg: 33.33 / Max: 33.4 Min: 31.8 / Avg: 31.8 / Max: 31.8
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 25.35 27.55 27.03 27.11 19.93 19.83 12.25 26.65 14.74 24.63 23.38 24.54 18.33 27.20 18.87 12.35 12.91 16.21 25.35 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 25.28 / Avg: 25.35 / Max: 25.39 Min: 27.51 / Avg: 27.55 / Max: 27.59 Min: 26.99 / Avg: 27.03 / Max: 27.07 Min: 27.05 / Avg: 27.11 / Max: 27.2 Min: 19.9 / Avg: 19.93 / Max: 19.97 Min: 19.77 / Avg: 19.83 / Max: 19.86 Min: 12.22 / Avg: 12.25 / Max: 12.28 Min: 26.64 / Avg: 26.65 / Max: 26.67 Min: 14.69 / Avg: 14.74 / Max: 14.77 Min: 24.61 / Avg: 24.63 / Max: 24.66 Min: 23.33 / Avg: 23.38 / Max: 23.44 Min: 24.5 / Avg: 24.54 / Max: 24.59 Min: 18.3 / Avg: 18.33 / Max: 18.36 Min: 27.03 / Avg: 27.2 / Max: 27.32 Min: 18.83 / Avg: 18.87 / Max: 18.89 Min: 12.33 / Avg: 12.35 / Max: 12.39 Min: 12.89 / Avg: 12.91 / Max: 12.95 Min: 16.17 / Avg: 16.21 / Max: 16.27 Min: 25.25 / Avg: 25.35 / Max: 25.42 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K SE +/- 18.81, N = 3 SE +/- 96.28, N = 3 SE +/- 36.02, N = 3 SE +/- 93.46, N = 3 SE +/- 100.29, N = 3 SE +/- 82.07, N = 3 SE +/- 3.65, N = 3 SE +/- 15.00, N = 3 SE +/- 88.84, N = 3 SE +/- 33.82, N = 3 SE +/- 31.91, N = 3 SE +/- 41.36, N = 3 SE +/- 20.90, N = 3 SE +/- 11.41, N = 3 SE +/- 87.55, N = 3 SE +/- 16.02, N = 3 SE +/- 11.11, N = 3 SE +/- 34.49, N = 3 SE +/- 28.38, N = 3 SE +/- 21.35, N = 3 10130.61 11749.88 21376.10 21019.80 17243.37 8849.73 5909.26 3032.55 16615.54 3674.27 11239.19 6955.53 11978.84 8387.53 11865.34 5717.26 3024.05 3230.19 4506.58 11782.77 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 Stress EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K Min: 10093.48 / Avg: 10130.61 / Max: 10154.39 Min: 11558.57 / Avg: 11749.88 / Max: 11864.54 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: 8752.21 / Avg: 8849.73 / Max: 9012.83 Min: 5901.98 / Avg: 5909.26 / Max: 5913.34 Min: 3005.06 / Avg: 3032.55 / Max: 3056.68 Min: 16439.03 / Avg: 16615.54 / Max: 16721.45 Min: 3615.45 / Avg: 3674.27 / Max: 3732.59 Min: 11198.19 / Avg: 11239.19 / Max: 11302.04 Min: 6878.65 / Avg: 6955.53 / Max: 7020.43 Min: 11940.43 / Avg: 11978.84 / Max: 12012.32 Min: 8369.21 / Avg: 8387.53 / Max: 8408.46 Min: 11690.46 / Avg: 11865.34 / Max: 11960.53 Min: 5692.55 / Avg: 5717.26 / Max: 5747.29 Min: 3010.7 / Avg: 3024.05 / Max: 3046.1 Min: 3192.87 / Avg: 3230.19 / Max: 3299.1 Min: 4449.94 / Avg: 4506.58 / Max: 4537.94 Min: 11740.66 / Avg: 11782.77 / Max: 11809.98 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16K 32K 48K 64K 80K SE +/- 170.86, N = 3 SE +/- 25.03, N = 3 SE +/- 107.31, N = 3 SE +/- 108.39, N = 3 SE +/- 27.43, N = 3 SE +/- 78.29, N = 3 SE +/- 20.42, N = 3 SE +/- 5.36, N = 3 SE +/- 39.72, N = 3 SE +/- 20.85, N = 3 SE +/- 99.32, N = 3 SE +/- 17.90, N = 3 SE +/- 8.37, N = 3 SE +/- 111.57, N = 3 SE +/- 66.64, N = 3 SE +/- 2.73, N = 3 SE +/- 33.95, N = 3 SE +/- 22.52, N = 3 SE +/- 58.71, N = 3 SE +/- 50.84, N = 3 37810 44348 74411 66272 61922 34101 22695 11027 61138 12832 41176 26828 43396 29439 45255 22039 10441 11685 15594 44279 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13K 26K 39K 52K 65K Min: 37499 / Avg: 37810.33 / Max: 38088 Min: 44298 / Avg: 44348 / Max: 44375 Min: 74216 / Avg: 74411.33 / Max: 74586 Min: 66135 / Avg: 66272 / Max: 66486 Min: 61891 / Avg: 61922.33 / Max: 61977 Min: 34015 / Avg: 34100.67 / Max: 34257 Min: 22665 / Avg: 22695 / Max: 22734 Min: 11017 / Avg: 11027.33 / Max: 11035 Min: 61064 / Avg: 61138 / Max: 61200 Min: 12793 / Avg: 12832.33 / Max: 12864 Min: 40978 / Avg: 41176.33 / Max: 41285 Min: 26793 / Avg: 26828.33 / Max: 26851 Min: 43382 / Avg: 43396.33 / Max: 43411 Min: 29217 / Avg: 29439.33 / Max: 29567 Min: 45181 / Avg: 45255 / Max: 45388 Min: 22034 / Avg: 22039.33 / Max: 22043 Min: 10374 / Avg: 10441 / Max: 10484 Min: 11640 / Avg: 11684.67 / Max: 11712 Min: 15480 / Avg: 15593.67 / Max: 15676 Min: 44202 / Avg: 44279 / Max: 44375 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K SE +/- 30.11, N = 3 SE +/- 24.82, N = 3 SE +/- 48.31, N = 3 SE +/- 54.79, N = 3 SE +/- 90.90, N = 3 SE +/- 20.42, N = 3 SE +/- 18.89, N = 3 SE +/- 15.12, N = 3 SE +/- 57.23, N = 3 SE +/- 34.12, N = 3 SE +/- 29.25, N = 3 SE +/- 137.58, N = 3 SE +/- 12.96, N = 3 SE +/- 25.21, N = 3 SE +/- 28.23, N = 3 SE +/- 13.79, N = 3 SE +/- 13.61, N = 3 SE +/- 5.72, N = 3 SE +/- 17.03, N = 3 SE +/- 15.94, N = 3 79756.26 89791.60 147145.81 146423.18 123965.62 73241.35 49828.66 24167.85 123029.76 29153.01 82555.86 58522.66 87239.10 63293.53 96854.95 46844.14 23857.54 25324.35 35923.30 89843.27 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 79706.26 / Avg: 79756.26 / Max: 79810.34 Min: 89743.86 / Avg: 89791.6 / Max: 89827.23 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: 73200.79 / Avg: 73241.35 / Max: 73265.78 Min: 49793.43 / Avg: 49828.66 / Max: 49858.12 Min: 24150.37 / Avg: 24167.85 / Max: 24197.95 Min: 122953.6 / Avg: 123029.76 / Max: 123141.84 Min: 29096.71 / Avg: 29153.01 / Max: 29214.55 Min: 82521.84 / Avg: 82555.86 / Max: 82614.09 Min: 58360.01 / Avg: 58522.66 / Max: 58796.19 Min: 87214.38 / Avg: 87239.1 / Max: 87258.21 Min: 63244.31 / Avg: 63293.53 / Max: 63327.58 Min: 96817.27 / Avg: 96854.95 / Max: 96910.2 Min: 46826.92 / Avg: 46844.14 / Max: 46871.41 Min: 23830.34 / Avg: 23857.54 / Max: 23872.07 Min: 25312.96 / Avg: 25324.35 / Max: 25330.81 Min: 35891.06 / Avg: 35923.3 / Max: 35948.91 Min: 89812.09 / Avg: 89843.27 / Max: 89864.64 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 0.86, N = 3 SE +/- 0.34, N = 3 SE +/- 5.03, N = 3 SE +/- 2.39, N = 3 SE +/- 4.53, N = 3 SE +/- 3.07, N = 3 SE +/- 0.19, N = 3 SE +/- 0.74, N = 3 SE +/- 4.10, N = 3 SE +/- 0.90, N = 3 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 2.78, N = 3 SE +/- 2.33, N = 3 SE +/- 4.13, N = 3 SE +/- 0.32, N = 3 SE +/- 1.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.71, N = 3 587.94 677.26 1120.67 1099.57 942.93 542.30 358.21 169.35 928.80 209.03 624.86 424.32 661.64 480.83 718.59 346.53 173.04 182.67 257.99 677.19 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 587.03 / Avg: 587.94 / Max: 589.65 Min: 676.7 / Avg: 677.26 / Max: 677.88 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: 538.27 / Avg: 542.3 / Max: 548.34 Min: 357.94 / Avg: 358.21 / Max: 358.57 Min: 167.87 / Avg: 169.35 / Max: 170.21 Min: 923.85 / Avg: 928.8 / Max: 936.93 Min: 207.24 / Avg: 209.03 / Max: 210.15 Min: 624.58 / Avg: 624.86 / Max: 625.31 Min: 423.84 / Avg: 424.32 / Max: 424.79 Min: 658.47 / Avg: 661.64 / Max: 667.18 Min: 477.89 / Avg: 480.83 / Max: 485.42 Min: 710.47 / Avg: 718.59 / Max: 723.95 Min: 345.97 / Avg: 346.53 / Max: 347.07 Min: 171.01 / Avg: 173.04 / Max: 174.18 Min: 182.43 / Avg: 182.67 / Max: 182.8 Min: 257.74 / Avg: 257.99 / Max: 258.38 Min: 676.36 / Avg: 677.19 / Max: 678.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 0.34, N = 3 SE +/- 0.10, N = 3 SE +/- 1.72, N = 3 SE +/- 0.42, N = 3 SE +/- 0.40, N = 3 SE +/- 0.30, N = 3 SE +/- 0.52, N = 3 SE +/- 0.74, N = 3 SE +/- 0.94, N = 3 SE +/- 0.38, N = 3 SE +/- 0.56, N = 3 SE +/- 0.53, N = 3 SE +/- 1.30, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 1.22, N = 3 SE +/- 1.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.96, N = 3 SE +/- 0.51, N = 3 746.29 840.30 986.80 983.70 858.84 739.98 649.31 442.13 872.77 435.36 823.81 644.30 792.81 707.49 836.01 695.56 442.25 402.93 600.90 833.75 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 745.85 / Avg: 746.29 / Max: 746.96 Min: 840.11 / Avg: 840.3 / Max: 840.42 Min: 983.37 / Avg: 986.8 / Max: 988.57 Min: 983.26 / Avg: 983.7 / Max: 984.54 Min: 858.1 / Avg: 858.84 / Max: 859.49 Min: 739.39 / Avg: 739.98 / Max: 740.39 Min: 648.31 / Avg: 649.31 / Max: 650.07 Min: 441.37 / Avg: 442.13 / Max: 443.6 Min: 870.9 / Avg: 872.77 / Max: 873.71 Min: 434.92 / Avg: 435.36 / Max: 436.11 Min: 823.23 / Avg: 823.81 / Max: 824.93 Min: 643.63 / Avg: 644.3 / Max: 645.36 Min: 790.21 / Avg: 792.81 / Max: 794.15 Min: 707.4 / Avg: 707.49 / Max: 707.54 Min: 835.58 / Avg: 836.01 / Max: 836.35 Min: 693.24 / Avg: 695.56 / Max: 697.37 Min: 440.2 / Avg: 442.25 / Max: 443.38 Min: 402.6 / Avg: 402.93 / Max: 403.13 Min: 599.4 / Avg: 600.9 / Max: 602.68 Min: 832.87 / Avg: 833.75 / Max: 834.62 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: Memory Copying EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K SE +/- 41.62, N = 3 SE +/- 19.95, N = 3 SE +/- 78.70, N = 3 SE +/- 49.56, N = 3 SE +/- 124.38, N = 3 SE +/- 40.62, N = 3 SE +/- 29.43, N = 3 SE +/- 59.34, N = 3 SE +/- 41.28, N = 3 SE +/- 23.96, N = 3 SE +/- 32.09, N = 3 SE +/- 67.68, N = 3 SE +/- 25.22, N = 3 SE +/- 94.64, N = 3 SE +/- 14.92, N = 3 SE +/- 38.10, N = 3 SE +/- 61.54, N = 3 SE +/- 33.10, N = 3 SE +/- 135.36, N = 3 SE +/- 14.74, N = 3 12720.29 7700.23 11078.38 11015.81 16521.40 11346.95 10289.09 5237.68 10123.73 6202.90 7605.32 7434.42 16128.64 10647.64 7802.82 7481.74 8907.48 5960.35 10100.28 7761.44 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K Min: 12641.78 / Avg: 12720.29 / Max: 12783.5 Min: 7668.41 / Avg: 7700.23 / Max: 7737 Min: 10989.75 / Avg: 11078.38 / Max: 11235.33 Min: 10929.71 / Avg: 11015.81 / Max: 11101.4 Min: 16299.62 / Avg: 16521.4 / Max: 16729.86 Min: 11276.08 / Avg: 11346.95 / Max: 11416.79 Min: 10238.06 / Avg: 10289.09 / Max: 10340.01 Min: 5157.6 / Avg: 5237.68 / Max: 5353.58 Min: 10042.08 / Avg: 10123.73 / Max: 10175.2 Min: 6166.89 / Avg: 6202.9 / Max: 6248.29 Min: 7541.26 / Avg: 7605.32 / Max: 7640.63 Min: 7303.88 / Avg: 7434.42 / Max: 7530.67 Min: 16087.02 / Avg: 16128.64 / Max: 16174.13 Min: 10468.89 / Avg: 10647.64 / Max: 10790.93 Min: 7787.89 / Avg: 7802.82 / Max: 7832.66 Min: 7424.73 / Avg: 7481.74 / Max: 7554.04 Min: 8795.57 / Avg: 8907.48 / Max: 9007.82 Min: 5911.46 / Avg: 5960.35 / Max: 6023.44 Min: 9846 / Avg: 10100.28 / Max: 10307.87 Min: 7744.12 / Avg: 7761.44 / Max: 7790.75 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K SE +/- 6.75, N = 3 SE +/- 15.42, N = 3 SE +/- 6.05, N = 3 SE +/- 10.21, N = 3 SE +/- 13.57, N = 3 SE +/- 7.88, N = 3 SE +/- 5.14, N = 3 SE +/- 3.27, N = 3 SE +/- 8.63, N = 3 SE +/- 3.01, N = 3 SE +/- 10.96, N = 3 SE +/- 2.83, N = 3 SE +/- 9.13, N = 3 SE +/- 6.01, N = 3 SE +/- 9.87, N = 3 SE +/- 5.50, N = 3 SE +/- 2.12, N = 3 SE +/- 0.52, N = 3 SE +/- 4.50, N = 3 SE +/- 1.37, N = 3 6326.59 7283.56 12124.64 12001.39 10062.21 5832.21 3885.41 1857.42 10001.40 2267.19 6720.45 4581.63 7099.54 5143.78 7737.59 3772.31 1858.39 1970.61 2797.70 7300.94 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K Min: 6314.69 / Avg: 6326.59 / Max: 6338.06 Min: 7252.79 / Avg: 7283.56 / Max: 7300.75 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: 5816.65 / Avg: 5832.21 / Max: 5842.15 Min: 3878.04 / Avg: 3885.41 / Max: 3895.31 Min: 1850.88 / Avg: 1857.42 / Max: 1860.74 Min: 9984.14 / Avg: 10001.4 / Max: 10010.03 Min: 2261.27 / Avg: 2267.19 / Max: 2271.11 Min: 6708.43 / Avg: 6720.45 / Max: 6742.34 Min: 4576.02 / Avg: 4581.63 / Max: 4585.09 Min: 7081.47 / Avg: 7099.54 / Max: 7110.88 Min: 5132.13 / Avg: 5143.78 / Max: 5152.17 Min: 7722.55 / Avg: 7737.59 / Max: 7756.19 Min: 3761.72 / Avg: 3772.31 / Max: 3780.18 Min: 1854.15 / Avg: 1858.39 / Max: 1860.71 Min: 1970.01 / Avg: 1970.61 / Max: 1971.64 Min: 2789 / Avg: 2797.7 / Max: 2804.07 Min: 7298.23 / Avg: 7300.94 / Max: 7302.61 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 1.84, N = 3 SE +/- 1.24, N = 3 SE +/- 0.14, N = 3 SE +/- 3.65, N = 3 SE +/- 0.44, N = 3 SE +/- 0.91, N = 3 SE +/- 0.16, N = 3 SE +/- 1.69, N = 3 SE +/- 0.44, N = 3 SE +/- 2.15, N = 3 SE +/- 0.37, N = 3 SE +/- 0.86, N = 3 SE +/- 1.19, N = 3 SE +/- 0.49, N = 3 SE +/- 0.99, N = 3 SE +/- 0.27, N = 3 SE +/- 0.48, N = 3 SE +/- 0.75, N = 3 SE +/- 1.49, N = 3 352.52 483.78 922.75 904.46 679.67 363.24 228.74 118.38 700.86 115.82 474.52 230.59 448.37 344.22 481.77 252.79 116.86 111.22 186.52 482.08 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 160 320 480 640 800 Min: 351.94 / Avg: 352.52 / Max: 352.84 Min: 481.18 / Avg: 483.78 / Max: 487.34 Min: 920.64 / Avg: 922.75 / Max: 924.95 Min: 904.23 / Avg: 904.46 / Max: 904.72 Min: 673.23 / Avg: 679.67 / Max: 685.86 Min: 362.51 / Avg: 363.24 / Max: 364.04 Min: 226.95 / Avg: 228.74 / Max: 229.95 Min: 118.19 / Avg: 118.38 / Max: 118.69 Min: 697.7 / Avg: 700.86 / Max: 703.5 Min: 115.15 / Avg: 115.82 / Max: 116.65 Min: 470.58 / Avg: 474.52 / Max: 477.98 Min: 229.85 / Avg: 230.59 / Max: 231.04 Min: 447.48 / Avg: 448.37 / Max: 450.08 Min: 341.85 / Avg: 344.22 / Max: 345.65 Min: 481.21 / Avg: 481.77 / Max: 482.74 Min: 250.98 / Avg: 252.79 / Max: 254.38 Min: 116.48 / Avg: 116.86 / Max: 117.39 Min: 110.53 / Avg: 111.22 / Max: 112.15 Min: 185.02 / Avg: 186.52 / Max: 187.35 Min: 479.91 / Avg: 482.08 / Max: 484.94 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140K 280K 420K 560K 700K SE +/- 2361.40, N = 3 SE +/- 1517.69, N = 3 SE +/- 2400.08, N = 3 SE +/- 2560.60, N = 3 SE +/- 2646.60, N = 3 SE +/- 1231.54, N = 3 SE +/- 275.65, N = 3 SE +/- 115.43, N = 3 SE +/- 662.65, N = 3 SE +/- 212.03, N = 3 SE +/- 1084.86, N = 3 SE +/- 1205.14, N = 3 SE +/- 275.01, N = 3 SE +/- 930.38, N = 3 SE +/- 793.66, N = 3 SE +/- 603.89, N = 3 SE +/- 157.51, N = 3 SE +/- 19.09, N = 3 SE +/- 115.16, N = 3 SE +/- 1346.26, N = 3 375286.56 414301.15 641928.60 637854.00 528168.36 336284.14 233355.09 116199.55 537342.45 142120.89 387824.66 271798.18 392610.75 295072.85 429545.18 227661.36 116309.56 123755.93 175151.29 410519.36 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110K 220K 330K 440K 550K Min: 371348.45 / Avg: 375286.56 / Max: 379513.3 Min: 411702.04 / Avg: 414301.15 / Max: 416958.52 Min: 637432.56 / Avg: 641928.6 / Max: 645632.79 Min: 633035.51 / Avg: 637854 / Max: 641765.47 Min: 523031.78 / Avg: 528168.36 / Max: 531843.49 Min: 334098.38 / Avg: 336284.14 / Max: 338360.35 Min: 233029.99 / Avg: 233355.09 / Max: 233903.24 Min: 116002.14 / Avg: 116199.55 / Max: 116401.9 Min: 536191.54 / Avg: 537342.45 / Max: 538486.99 Min: 141814.3 / Avg: 142120.89 / Max: 142527.91 Min: 386429 / Avg: 387824.66 / Max: 389961.2 Min: 270479.97 / Avg: 271798.18 / Max: 274204.81 Min: 392079.84 / Avg: 392610.75 / Max: 393000.66 Min: 293884.4 / Avg: 295072.85 / Max: 296907.04 Min: 428623.54 / Avg: 429545.18 / Max: 431125.21 Min: 226946.22 / Avg: 227661.36 / Max: 228861.82 Min: 116098.13 / Avg: 116309.56 / Max: 116617.51 Min: 123733.99 / Avg: 123755.93 / Max: 123793.96 Min: 174995.49 / Avg: 175151.29 / Max: 175376.09 Min: 408885.28 / Avg: 410519.36 / Max: 413189.67 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 110K 220K 330K 440K 550K SE +/- 296.51, N = 3 SE +/- 4653.97, N = 3 SE +/- 1968.01, N = 3 SE +/- 1889.52, N = 3 SE +/- 2100.86, N = 3 SE +/- 5200.29, N = 3 SE +/- 387.43, N = 3 SE +/- 988.10, N = 3 SE +/- 2254.42, N = 3 SE +/- 151.23, N = 3 SE +/- 3875.11, N = 3 SE +/- 454.86, N = 3 SE +/- 526.59, N = 3 SE +/- 153.43, N = 3 SE +/- 5397.86, N = 3 SE +/- 1069.53, N = 3 SE +/- 333.77, N = 3 SE +/- 317.40, N = 3 SE +/- 553.73, N = 3 SE +/- 4362.99, N = 3 365769.88 406722.26 403206.36 402875.35 424385.84 434178.88 337766.57 289487.99 399369.85 509178.11 400360.82 509785.83 335428.63 387954.79 408037.40 394488.53 338725.99 442279.44 416979.46 406779.77 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: Atomic EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 90K 180K 270K 360K 450K Min: 365364.92 / Avg: 365769.88 / Max: 366347.54 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: 420677.52 / Avg: 424385.84 / Max: 427950.88 Min: 424348.06 / Avg: 434178.88 / Max: 442034.56 Min: 337027.91 / Avg: 337766.57 / Max: 338338.6 Min: 287852.67 / Avg: 289487.99 / Max: 291266.56 Min: 395001.31 / Avg: 399369.85 / Max: 402520.6 Min: 508921.37 / Avg: 509178.11 / Max: 509444.95 Min: 392650.92 / Avg: 400360.82 / Max: 404899.47 Min: 509318.56 / Avg: 509785.83 / Max: 510695.43 Min: 334600.86 / Avg: 335428.63 / Max: 336406.41 Min: 387663.63 / Avg: 387954.79 / Max: 388184.29 Min: 398157.78 / Avg: 408037.4 / Max: 416746.25 Min: 392385.92 / Avg: 394488.53 / Max: 395880.4 Min: 338338.48 / Avg: 338725.99 / Max: 339390.48 Min: 441671.08 / Avg: 442279.44 / Max: 442740.63 Min: 416080.83 / Avg: 416979.46 / Max: 417989.3 Min: 398632.17 / Avg: 406779.77 / Max: 413559.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40K 80K 120K 160K 200K SE +/- 205.68, N = 3 SE +/- 1080.49, N = 3 SE +/- 261.22, N = 3 SE +/- 430.58, N = 3 SE +/- 471.06, N = 3 SE +/- 155.82, N = 3 SE +/- 159.97, N = 3 SE +/- 39.70, N = 3 SE +/- 811.81, N = 3 SE +/- 88.23, N = 3 SE +/- 135.20, N = 3 SE +/- 311.46, N = 3 SE +/- 392.03, N = 3 SE +/- 200.02, N = 3 SE +/- 535.34, N = 3 SE +/- 66.43, N = 3 SE +/- 70.70, N = 3 SE +/- 148.50, N = 3 SE +/- 56.60, N = 3 SE +/- 354.61, N = 3 101096.15 110937.29 177538.11 178073.14 151931.12 91534.93 63181.99 31460.75 149827.50 38372.40 101602.76 75406.32 108030.59 79169.26 120546.41 58509.29 31420.05 33377.45 46353.74 111016.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 100694.73 / Avg: 101096.15 / Max: 101374.73 Min: 109225.78 / Avg: 110937.29 / Max: 112935.61 Min: 177029.44 / Avg: 177538.11 / Max: 177895.63 Min: 177510.03 / Avg: 178073.14 / Max: 178918.95 Min: 151052.76 / Avg: 151931.12 / Max: 152665.37 Min: 91331.78 / Avg: 91534.93 / Max: 91841.16 Min: 62930.24 / Avg: 63181.99 / Max: 63478.86 Min: 31408.37 / Avg: 31460.75 / Max: 31538.63 Min: 148869.56 / Avg: 149827.5 / Max: 151441.76 Min: 38216.05 / Avg: 38372.4 / Max: 38521.42 Min: 101390.5 / Avg: 101602.76 / Max: 101853.95 Min: 75087.8 / Avg: 75406.32 / Max: 76029.19 Min: 107251.11 / Avg: 108030.59 / Max: 108493.62 Min: 78895.81 / Avg: 79169.26 / Max: 79558.86 Min: 119657.67 / Avg: 120546.41 / Max: 121507.85 Min: 58381.23 / Avg: 58509.29 / Max: 58603.95 Min: 31287.32 / Avg: 31420.05 / Max: 31528.62 Min: 33134.13 / Avg: 33377.45 / Max: 33646.61 Min: 46240.55 / Avg: 46353.74 / Max: 46410.96 Min: 110444.66 / Avg: 111016.59 / Max: 111665.76 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4K 8K 12K 16K 20K SE +/- 1.50, N = 3 SE +/- 36.22, N = 3 SE +/- 99.95, N = 3 SE +/- 20.23, N = 3 SE +/- 99.71, N = 3 SE +/- 24.57, N = 3 SE +/- 33.67, N = 3 SE +/- 36.64, N = 3 SE +/- 130.50, N = 3 SE +/- 49.91, N = 3 SE +/- 30.42, N = 3 SE +/- 53.13, N = 3 SE +/- 175.10, N = 3 SE +/- 150.74, N = 3 SE +/- 27.89, N = 3 SE +/- 6.33, N = 3 SE +/- 8.48, N = 3 SE +/- 9.64, N = 3 SE +/- 113.89, N = 3 SE +/- 28.81, N = 3 12692.91 14442.21 19039.37 19463.86 18133.98 12003.26 8429.01 4400.48 17296.84 5244.21 13412.97 9368.26 14049.76 11202.38 15411.07 8104.19 4485.46 4698.64 6799.13 14448.04 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K Min: 12689.93 / Avg: 12692.91 / Max: 12694.72 Min: 14373.73 / Avg: 14442.21 / Max: 14496.92 Min: 18849.83 / Avg: 19039.37 / Max: 19189.15 Min: 19434.91 / Avg: 19463.86 / Max: 19502.82 Min: 17935.45 / Avg: 18133.98 / Max: 18249.55 Min: 11955.06 / Avg: 12003.26 / Max: 12035.6 Min: 8367.15 / Avg: 8429.01 / Max: 8482.97 Min: 4356.82 / Avg: 4400.48 / Max: 4473.28 Min: 17069.15 / Avg: 17296.84 / Max: 17521.19 Min: 5145.21 / Avg: 5244.21 / Max: 5304.74 Min: 13355.04 / Avg: 13412.97 / Max: 13458.06 Min: 9270.87 / Avg: 9368.26 / Max: 9453.78 Min: 13699.8 / Avg: 14049.76 / Max: 14235.86 Min: 10906.58 / Avg: 11202.38 / Max: 11400.71 Min: 15360.66 / Avg: 15411.07 / Max: 15456.97 Min: 8091.91 / Avg: 8104.19 / Max: 8112.97 Min: 4470.63 / Avg: 4485.46 / Max: 4499.99 Min: 4682.49 / Avg: 4698.64 / Max: 4715.82 Min: 6585.28 / Avg: 6799.13 / Max: 6973.97 Min: 14397.87 / Avg: 14448.04 / Max: 14497.67 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 90K 180K 270K 360K 450K SE +/- 478.76, N = 3 SE +/- 170.79, N = 3 SE +/- 358.04, N = 3 SE +/- 83.51, N = 3 SE +/- 29.41, N = 3 SE +/- 70.64, N = 3 SE +/- 1.03, N = 3 SE +/- 13.07, N = 3 SE +/- 446.26, N = 3 SE +/- 5.55, N = 3 SE +/- 241.85, N = 3 SE +/- 49.61, N = 3 SE +/- 154.60, N = 3 SE +/- 6.59, N = 3 SE +/- 23.85, N = 3 SE +/- 2.57, N = 3 SE +/- 11.30, N = 3 SE +/- 14.51, N = 3 SE +/- 7.74, N = 3 SE +/- 136.87, N = 3 198355.57 237835.68 400119.36 396445.89 331524.05 183035.44 120965.20 57789.41 327568.79 70550.59 221038.57 142745.02 231415.93 164870.78 241837.62 117313.44 57748.24 61366.13 87046.58 237815.92 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: Vector Math EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70K 140K 210K 280K 350K Min: 197658.29 / Avg: 198355.57 / Max: 199272.52 Min: 237534.61 / Avg: 237835.68 / Max: 238125.95 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: 182894.29 / Avg: 183035.44 / Max: 183111.31 Min: 120963.15 / Avg: 120965.2 / Max: 120966.42 Min: 57765.31 / Avg: 57789.41 / Max: 57810.22 Min: 327108.52 / Avg: 327568.79 / Max: 328461.17 Min: 70544.38 / Avg: 70550.59 / Max: 70561.67 Min: 220563.4 / Avg: 221038.57 / Max: 221354.45 Min: 142645.8 / Avg: 142745.02 / Max: 142795.63 Min: 231107.25 / Avg: 231415.93 / Max: 231585.92 Min: 164858.89 / Avg: 164870.78 / Max: 164881.64 Min: 241796.34 / Avg: 241837.62 / Max: 241878.96 Min: 117308.69 / Avg: 117313.44 / Max: 117317.53 Min: 57729.89 / Avg: 57748.24 / Max: 57768.83 Min: 61337.3 / Avg: 61366.13 / Max: 61383.41 Min: 87038.08 / Avg: 87046.58 / Max: 87062.04 Min: 237557.24 / Avg: 237815.92 / Max: 238022.8 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2M 4M 6M 8M 10M SE +/- 4355.00, N = 3 SE +/- 4978.84, N = 3 SE +/- 36035.92, N = 3 SE +/- 8815.15, N = 3 SE +/- 7510.98, N = 3 SE +/- 15685.26, N = 3 SE +/- 3591.62, N = 3 SE +/- 699.96, N = 3 SE +/- 17764.90, N = 3 SE +/- 643.25, N = 3 SE +/- 20238.04, N = 3 SE +/- 10192.76, N = 3 SE +/- 6229.17, N = 3 SE +/- 2929.41, N = 3 SE +/- 33103.80, N = 3 SE +/- 2401.91, N = 3 SE +/- 2002.32, N = 3 SE +/- 1503.17, N = 3 SE +/- 1404.08, N = 3 SE +/- 25409.49, N = 3 3398307.36 4353954.55 8774129.37 8681304.25 6435677.98 3235018.08 2155404.24 1081706.29 6519097.16 1123267.36 4372996.35 2296867.17 4389847.95 3189832.78 4395637.93 2217376.84 1081054.66 1068384.20 1655038.96 4353781.68 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: Semaphores EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.5M 3M 4.5M 6M 7.5M Min: 3392892.99 / Avg: 3398307.36 / Max: 3406923.14 Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14 Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77 Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81 Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17 Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1 Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17 Min: 1080345.15 / Avg: 1081706.29 / Max: 1082670.26 Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92 Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77 Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54 Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82 Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29 Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61 Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82 Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04 Min: 1077860.45 / Avg: 1081054.66 / Max: 1084743.56 Min: 1066535.45 / Avg: 1068384.2 / Max: 1071361.67 Min: 1652768.13 / Avg: 1655038.96 / Max: 1657605.05 Min: 4316973 / Avg: 4353781.68 / Max: 4402530.17 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.2780, N = 3 SE +/- 0.1490, N = 3 SE +/- 0.0362, N = 3 SE +/- 0.0763, N = 3 SE +/- 0.0717, N = 3 SE +/- 0.2726, N = 3 SE +/- 0.0257, N = 3 SE +/- 0.0263, N = 3 SE +/- 0.3207, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.2284, N = 3 SE +/- 0.2322, N = 3 SE +/- 0.3156, N = 3 SE +/- 0.1182, N = 3 SE +/- 0.2017, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0609, N = 3 SE +/- 0.0506, N = 3 SE +/- 0.3906, N = 3 30.0839 35.0480 52.1229 51.6425 47.4349 28.7777 19.1386 9.2306 46.8396 10.5068 33.2007 21.3898 33.7127 25.2623 36.9981 18.4925 9.3926 9.6834 14.0144 35.0164
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 29.72 / Avg: 30.08 / Max: 30.63 Min: 34.78 / Avg: 35.05 / Max: 35.3 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: 28.23 / Avg: 28.78 / Max: 29.09 Min: 19.1 / Avg: 19.14 / Max: 19.19 Min: 9.18 / Avg: 9.23 / Max: 9.26 Min: 46.3 / Avg: 46.84 / Max: 47.41 Min: 10.48 / Avg: 10.51 / Max: 10.53 Min: 32.78 / Avg: 33.2 / Max: 33.56 Min: 20.93 / Avg: 21.39 / Max: 21.64 Min: 33.09 / Avg: 33.71 / Max: 34.1 Min: 25.06 / Avg: 25.26 / Max: 25.47 Min: 36.6 / Avg: 37 / Max: 37.24 Min: 18.47 / Avg: 18.49 / Max: 18.53 Min: 9.35 / Avg: 9.39 / Max: 9.43 Min: 9.59 / Avg: 9.68 / Max: 9.8 Min: 13.92 / Avg: 14.01 / Max: 14.09 Min: 34.61 / Avg: 35.02 / Max: 35.8
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.1842, N = 3 SE +/- 0.2760, N = 3 SE +/- 0.3470, N = 3 SE +/- 0.0882, N = 3 SE +/- 0.3010, N = 3 SE +/- 0.2494, N = 3 SE +/- 0.1895, N = 3 SE +/- 0.0813, N = 3 SE +/- 0.4040, N = 3 SE +/- 0.0285, N = 3 SE +/- 0.0606, N = 3 SE +/- 0.1347, N = 3 SE +/- 0.1971, N = 3 SE +/- 0.2541, N = 3 SE +/- 0.2618, N = 3 SE +/- 0.0341, N = 3 SE +/- 0.0267, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.1343, N = 3 SE +/- 0.3034, N = 3 30.1365 35.6826 53.2204 52.8060 47.4509 28.4980 19.2865 9.3351 46.9637 10.5746 33.0034 21.0131 33.3760 25.3374 37.5947 18.6826 9.4305 9.7040 14.0979 35.5207
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 Min: 29.94 / Avg: 30.14 / Max: 30.5 Min: 35.13 / Avg: 35.68 / Max: 36 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: 28.2 / Avg: 28.5 / Max: 28.99 Min: 19.05 / Avg: 19.29 / Max: 19.66 Min: 9.19 / Avg: 9.34 / Max: 9.48 Min: 46.17 / Avg: 46.96 / Max: 47.48 Min: 10.52 / Avg: 10.57 / Max: 10.61 Min: 32.88 / Avg: 33 / Max: 33.08 Min: 20.82 / Avg: 21.01 / Max: 21.27 Min: 33.1 / Avg: 33.38 / Max: 33.76 Min: 25.05 / Avg: 25.34 / Max: 25.84 Min: 37.26 / Avg: 37.59 / Max: 38.11 Min: 18.62 / Avg: 18.68 / Max: 18.73 Min: 9.38 / Avg: 9.43 / Max: 9.46 Min: 9.69 / Avg: 9.7 / Max: 9.72 Min: 13.94 / Avg: 14.1 / Max: 14.37 Min: 35.07 / Avg: 35.52 / Max: 36.1
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 5.55, N = 3 SE +/- 1.08, N = 3 SE +/- 2.73, N = 3 SE +/- 3.48, N = 3 SE +/- 1.39, N = 3 SE +/- 0.68, N = 3 SE +/- 0.46, N = 3 SE +/- 3.36, N = 3 SE +/- 0.94, N = 3 SE +/- 3.65, N = 3 SE +/- 1.78, N = 3 SE +/- 2.32, N = 3 SE +/- 1.54, N = 3 SE +/- 2.85, N = 3 SE +/- 3.24, N = 3 SE +/- 0.25, N = 3 SE +/- 0.67, N = 3 SE +/- 1.33, N = 3 SE +/- 0.28, N = 3 SE +/- 2.47, N = 3 905.21 873.70 856.44 843.29 866.72 872.05 867.20 835.61 863.06 906.95 871.26 956.94 817.76 796.41 881.28 842.39 775.92 796.55 798.82 872.06 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 896.41 / Avg: 905.21 / Max: 915.46 Min: 871.55 / Avg: 873.7 / Max: 874.99 Min: 853.7 / Avg: 856.44 / Max: 861.91 Min: 836.42 / Avg: 843.29 / Max: 847.7 Min: 864.02 / Avg: 866.72 / Max: 868.63 Min: 870.95 / Avg: 872.05 / Max: 873.3 Min: 866.31 / Avg: 867.2 / Max: 867.82 Min: 828.89 / Avg: 835.61 / Max: 839 Min: 861.65 / Avg: 863.06 / Max: 864.84 Min: 900.97 / Avg: 906.95 / Max: 913.57 Min: 867.71 / Avg: 871.26 / Max: 873.17 Min: 954.35 / Avg: 956.94 / Max: 961.56 Min: 814.69 / Avg: 817.76 / Max: 819.32 Min: 793.11 / Avg: 796.41 / Max: 802.09 Min: 875.93 / Avg: 881.28 / Max: 887.13 Min: 842.05 / Avg: 842.39 / Max: 842.88 Min: 774.9 / Avg: 775.92 / Max: 777.17 Min: 794.25 / Avg: 796.55 / Max: 798.86 Min: 798.48 / Avg: 798.82 / Max: 799.37 Min: 867.84 / Avg: 872.06 / Max: 876.41 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 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 +/- 0.00, N = 12 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 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 = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 45.45 50.00 76.92 76.92 66.67 41.67 29.41 14.08 66.67 17.14 45.45 33.33 47.62 35.71 53.80 27.03 14.29 15.63 21.28 50.00
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 Min: 45.45 / Avg: 45.45 / Max: 45.45 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: 41.67 / Avg: 41.67 / Max: 41.67 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 16.95 / Avg: 17.14 / Max: 17.24 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 52.63 / Avg: 53.8 / Max: 55.56 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 21.28 / Avg: 21.28 / Max: 21.28
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.819 1.638 2.457 3.276 4.095 3.31 3.34 3.42 3.36 3.38 3.35 3.36 3.64 3.41 3.20 3.36 3.26 3.42 3.42 3.34 3.35 3.40 3.29 3.37 3.34
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 1.53, N = 3 SE +/- 2.73, N = 3 SE +/- 2.40, N = 3 SE +/- 0.58, N = 3 SE +/- 2.19, N = 3 SE +/- 1.00, N = 3 SE +/- 1.76, N = 3 SE +/- 2.03, N = 3 SE +/- 2.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 2.19, N = 3 SE +/- 1.20, N = 3 SE +/- 2.60, N = 3 SE +/- 2.60, N = 3 SE +/- 1.20, N = 3 1083 1192 1210 1196 1212 1185 1211 1255 1207 1024 1192 1024 1212 1263 1179 1245 1252 1182 1249 1194
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 1080 / Avg: 1083 / Max: 1085 Min: 1205 / Avg: 1210.33 / Max: 1214 Min: 1191 / Avg: 1195.67 / Max: 1199 Min: 1211 / Avg: 1212 / Max: 1213 Min: 1181 / Avg: 1185.33 / Max: 1188 Min: 1254 / Avg: 1255 / Max: 1257 Min: 1204 / Avg: 1207.33 / Max: 1210 Min: 1021 / Avg: 1024.33 / Max: 1028 Min: 1020 / Avg: 1023.67 / Max: 1028 Min: 1211 / Avg: 1211.67 / Max: 1213 Min: 1262 / Avg: 1263.33 / Max: 1264 Min: 1242 / Avg: 1244.67 / Max: 1249 Min: 1250 / Avg: 1252.33 / Max: 1254 Min: 1177 / Avg: 1181.67 / Max: 1186 Min: 1244 / Avg: 1248.67 / Max: 1253 Min: 1192 / Avg: 1193.67 / Max: 1196
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, 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 +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 23.65 26.82 27.21 26.94 27.14 26.70 27.38 30.66 27.18 24.53 26.90 22.87 27.21 28.52 26.41 28.02 30.39 28.95 28.79 26.81
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 23.59 / Avg: 23.65 / Max: 23.74 Min: 26.78 / Avg: 26.82 / Max: 26.88 Min: 27.17 / Avg: 27.21 / Max: 27.25 Min: 26.9 / Avg: 26.94 / Max: 26.98 Min: 27.12 / Avg: 27.14 / Max: 27.18 Min: 26.66 / Avg: 26.7 / Max: 26.78 Min: 27.36 / Avg: 27.38 / Max: 27.41 Min: 30.61 / Avg: 30.66 / Max: 30.73 Min: 27.15 / Avg: 27.18 / Max: 27.21 Min: 24.49 / Avg: 24.53 / Max: 24.61 Min: 26.86 / Avg: 26.89 / Max: 26.93 Min: 22.85 / Avg: 22.87 / Max: 22.89 Min: 27.16 / Avg: 27.21 / Max: 27.25 Min: 28.45 / Avg: 28.52 / Max: 28.58 Min: 26.39 / Avg: 26.41 / Max: 26.44 Min: 27.91 / Avg: 28.02 / Max: 28.08 Min: 30.25 / Avg: 30.39 / Max: 30.49 Min: 28.87 / Avg: 28.95 / Max: 29.09 Min: 28.59 / Avg: 28.78 / Max: 28.89 Min: 26.78 / Avg: 26.81 / Max: 26.84
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0734 0.1468 0.2202 0.2936 0.367 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 6 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 4 SE +/- 0.003, N = 3 0.260 0.275 0.278 0.274 0.281 0.280 0.301 0.320 0.285 0.281 0.279 0.282 0.299 0.296 0.274 0.274 0.326 0.322 0.284 0.278 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.29 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.3 / Avg: 0.3 / Max: 0.31 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.28 / Avg: 0.29 / 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: 0.28 Min: 0.28 / Avg: 0.3 / Max: 0.31 Min: 0.29 / Avg: 0.3 / Max: 0.3 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.28 / Avg: 0.28 / Max: 0.3 Min: 0.27 / Avg: 0.28 / Max: 0.29 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 SE +/- 59.00, N = 3 SE +/- 13.96, N = 3 SE +/- 49.87, N = 3 SE +/- 23.47, N = 3 SE +/- 31.77, N = 3 SE +/- 12.12, N = 3 SE +/- 35.16, N = 3 SE +/- 17.06, N = 3 SE +/- 44.26, N = 3 SE +/- 7.61, N = 3 SE +/- 32.57, N = 3 SE +/- 7.81, N = 3 SE +/- 40.17, N = 6 SE +/- 30.14, N = 3 SE +/- 60.62, N = 3 SE +/- 22.27, N = 3 SE +/- 28.19, N = 3 SE +/- 13.03, N = 3 SE +/- 51.99, N = 4 SE +/- 43.27, N = 3 3851 3642 3600 3650 3558 3566 3323 3126 3509 3564 3581 3544 3345 3379 3652 3653 3073 3103 3520 3599 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 Min: 3737.46 / Avg: 3851.01 / Max: 3935.61 Min: 3622.19 / Avg: 3642.31 / Max: 3669.12 Min: 3548.08 / Avg: 3600.4 / Max: 3700.1 Min: 3603.43 / Avg: 3650.12 / Max: 3677.68 Min: 3499.95 / Avg: 3558.37 / Max: 3609.22 Min: 3542.2 / Avg: 3565.68 / Max: 3582.65 Min: 3261.77 / Avg: 3322.6 / Max: 3383.57 Min: 3092.27 / Avg: 3126.06 / Max: 3147.03 Min: 3461.19 / Avg: 3509.26 / Max: 3597.67 Min: 3550.22 / Avg: 3563.8 / Max: 3576.56 Min: 3520.73 / Avg: 3580.83 / Max: 3632.65 Min: 3530.38 / Avg: 3543.86 / Max: 3557.44 Min: 3226 / Avg: 3344.74 / Max: 3521.19 Min: 3327.27 / Avg: 3378.61 / Max: 3431.64 Min: 3562.25 / Avg: 3652.05 / Max: 3767.49 Min: 3608.15 / Avg: 3652.68 / Max: 3675.87 Min: 3017.13 / Avg: 3073.27 / Max: 3105.88 Min: 3077.78 / Avg: 3103.27 / Max: 3120.74 Min: 3377.54 / Avg: 3520.45 / Max: 3610.33 Min: 3513.44 / Avg: 3598.6 / Max: 3654.53 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.30, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 20.70 21.74 20.83 20.77 21.28 22.41 24.59 32.31 21.23 27.72 22.12 21.38 22.32 24.35 21.33 25.14 32.82 31.37 28.87 21.71 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 20.68 / Avg: 20.7 / Max: 20.74 Min: 21.72 / Avg: 21.74 / Max: 21.76 Min: 20.75 / Avg: 20.83 / Max: 20.92 Min: 20.7 / Avg: 20.77 / Max: 20.81 Min: 21.27 / Avg: 21.28 / Max: 21.3 Min: 22.37 / Avg: 22.41 / Max: 22.44 Min: 24.47 / Avg: 24.59 / Max: 24.66 Min: 31.9 / Avg: 32.31 / Max: 32.89 Min: 21.2 / Avg: 21.23 / Max: 21.29 Min: 27.48 / Avg: 27.72 / Max: 28.1 Min: 22.1 / Avg: 22.12 / Max: 22.15 Min: 21.28 / Avg: 21.38 / Max: 21.49 Min: 22.3 / Avg: 22.32 / Max: 22.34 Min: 24.3 / Avg: 24.35 / Max: 24.4 Min: 21.26 / Avg: 21.33 / Max: 21.41 Min: 25.11 / Avg: 25.14 / Max: 25.18 Min: 32.56 / Avg: 32.82 / Max: 33.12 Min: 30.97 / Avg: 31.37 / Max: 31.63 Min: 28.83 / Avg: 28.87 / Max: 28.91 Min: 21.65 / Avg: 21.71 / Max: 21.74 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.47, N = 4 SE +/- 0.25, N = 3 SE +/- 0.36, N = 3 SE +/- 0.13, N = 3 SE +/- 0.40, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.37, N = 3 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.50, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.31, N = 3 SE +/- 0.17, N = 3 29.32 39.79 36.18 36.59 37.50 41.83 41.41 36.64 37.20 33.29 40.06 31.08 40.77 40.78 39.62 37.53 35.99 42.98 37.11 39.52 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 28.97 / Avg: 29.32 / Max: 29.67 Min: 39.49 / Avg: 39.79 / Max: 40.16 Min: 35.48 / Avg: 36.18 / Max: 37.56 Min: 36.1 / Avg: 36.59 / Max: 36.93 Min: 37.01 / Avg: 37.5 / Max: 38.19 Min: 41.57 / Avg: 41.83 / Max: 41.98 Min: 40.73 / Avg: 41.4 / Max: 42.11 Min: 36.56 / Avg: 36.64 / Max: 36.72 Min: 37.09 / Avg: 37.2 / Max: 37.38 Min: 33.13 / Avg: 33.29 / Max: 33.4 Min: 39.36 / Avg: 40.06 / Max: 40.63 Min: 30.85 / Avg: 31.08 / Max: 31.35 Min: 40.36 / Avg: 40.77 / Max: 41.32 Min: 39.78 / Avg: 40.78 / Max: 41.36 Min: 39.23 / Avg: 39.62 / Max: 40.33 Min: 37.4 / Avg: 37.53 / Max: 37.59 Min: 35.83 / Avg: 35.99 / Max: 36.25 Min: 42.25 / Avg: 42.98 / Max: 43.7 Min: 36.63 / Avg: 37.11 / Max: 37.68 Min: 39.19 / Avg: 39.52 / Max: 39.7 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 700 1400 2100 2800 3500 SE +/- 24.07, N = 3 SE +/- 12.17, N = 3 SE +/- 35.00, N = 4 SE +/- 18.57, N = 3 SE +/- 24.83, N = 3 SE +/- 7.36, N = 3 SE +/- 23.10, N = 3 SE +/- 3.48, N = 3 SE +/- 6.79, N = 3 SE +/- 7.30, N = 3 SE +/- 23.27, N = 3 SE +/- 15.04, N = 3 SE +/- 17.47, N = 3 SE +/- 30.62, N = 3 SE +/- 22.21, N = 3 SE +/- 4.52, N = 3 SE +/- 10.14, N = 3 SE +/- 22.64, N = 3 SE +/- 22.43, N = 3 SE +/- 10.16, N = 3 3415 2517 2770 2738 2671 2394 2418 2731 2693 3006 2500 3221 2457 2457 2528 2667 2780 2328 2697 2535 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600 1200 1800 2400 3000 Min: 3373.98 / Avg: 3415.45 / Max: 3457.36 Min: 2494.25 / Avg: 2516.54 / Max: 2536.14 Min: 2667.34 / Avg: 2769.78 / Max: 2823.7 Min: 2711.95 / Avg: 2737.69 / Max: 2773.75 Min: 2623.14 / Avg: 2671.2 / Max: 2706.08 Min: 2385.23 / Avg: 2394.11 / Max: 2408.72 Min: 2377.38 / Avg: 2418.12 / Max: 2457.35 Min: 2724.61 / Avg: 2730.99 / Max: 2736.57 Min: 2678.96 / Avg: 2692.53 / Max: 2699.86 Min: 2995.56 / Avg: 3005.63 / Max: 3019.81 Min: 2465.63 / Avg: 2500.49 / Max: 2544.62 Min: 3192.63 / Avg: 3220.59 / Max: 3244.19 Min: 2423.61 / Avg: 2456.72 / Max: 2482.93 Min: 2421.18 / Avg: 2457.42 / Max: 2518.29 Min: 2483.62 / Avg: 2527.96 / Max: 2552.45 Min: 2662.62 / Avg: 2667.31 / Max: 2676.34 Min: 2760.32 / Avg: 2780.49 / Max: 2792.45 Min: 2289.82 / Avg: 2328.44 / Max: 2368.24 Min: 2655.86 / Avg: 2697.37 / Max: 2732.85 Min: 2523.35 / Avg: 2534.67 / Max: 2554.94 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: 1 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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 = 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 = 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 0.040 0.037 0.036 0.035 0.038 0.037 0.043 0.044 0.038 0.039 0.036 0.040 0.042 0.039 0.036 0.036 0.044 0.046 0.036 0.037 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 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: 1 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6K 12K 18K 24K 30K SE +/- 83.49, N = 3 SE +/- 237.04, N = 3 SE +/- 291.09, N = 3 SE +/- 331.01, N = 3 SE +/- 239.87, N = 3 SE +/- 314.26, N = 3 SE +/- 98.18, N = 3 SE +/- 121.60, N = 3 SE +/- 286.26, N = 3 SE +/- 131.48, N = 3 SE +/- 244.15, N = 3 SE +/- 285.78, N = 3 SE +/- 151.40, N = 3 SE +/- 230.00, N = 3 SE +/- 350.21, N = 4 SE +/- 38.55, N = 3 SE +/- 169.29, N = 3 SE +/- 33.02, N = 3 SE +/- 213.38, N = 3 SE +/- 152.92, N = 3 25032 27309 27597 28221 26337 27089 23451 22727 26679 25644 28092 25249 24032 25430 27450 28158 22534 21829 27558 27460 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5K 10K 15K 20K 25K Min: 24930.7 / Avg: 25031.81 / Max: 25197.44 Min: 26918.38 / Avg: 27308.99 / Max: 27736.97 Min: 27036.41 / Avg: 27596.92 / Max: 28013.43 Min: 27573.78 / Avg: 28221.33 / Max: 28664.34 Min: 25860.1 / Avg: 26337.19 / Max: 26619.37 Min: 26753.58 / Avg: 27089.36 / Max: 27717.37 Min: 23322.1 / Avg: 23450.61 / Max: 23643.44 Min: 22577.93 / Avg: 22726.96 / Max: 22967.91 Min: 26360.32 / Avg: 26678.72 / Max: 27249.99 Min: 25466.37 / Avg: 25644.39 / Max: 25901 Min: 27663.45 / Avg: 28092.27 / Max: 28508.95 Min: 24734.57 / Avg: 25249.37 / Max: 25721.82 Min: 23806.11 / Avg: 24031.52 / Max: 24319.31 Min: 25055.95 / Avg: 25429.68 / Max: 25848.82 Min: 26711.61 / Avg: 27449.98 / Max: 28327.42 Min: 28092.62 / Avg: 28158.38 / Max: 28226.11 Min: 22204.48 / Avg: 22534.1 / Max: 22765.92 Min: 21781.12 / Avg: 21828.7 / Max: 21892.14 Min: 27157.63 / Avg: 27558.06 / Max: 27886.05 Min: 27243.42 / Avg: 27460.47 / Max: 27755.6 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.063 0.126 0.189 0.252 0.315 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 +/- 0.000, 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 +/- 0.002, N = 4 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 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.079 0.099 0.064 0.066 0.071 0.086 0.145 0.278 0.076 0.238 0.104 0.127 0.098 0.100 0.093 0.149 0.280 0.273 0.194 0.098 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.1 / Avg: 0.1 / Max: 0.1 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: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.12 / Avg: 0.13 / Max: 0.13 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.27 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.1 / Avg: 0.1 / Max: 0.1 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K SE +/- 5262.76, N = 3 SE +/- 2812.71, N = 3 SE +/- 4185.25, N = 3 SE +/- 2327.18, N = 3 SE +/- 4606.47, N = 3 SE +/- 634.95, N = 3 SE +/- 412.90, N = 3 SE +/- 751.04, N = 3 SE +/- 774.72, N = 3 SE +/- 760.23, N = 3 SE +/- 1722.05, N = 3 SE +/- 5158.94, N = 4 SE +/- 5976.20, N = 3 SE +/- 1956.29, N = 3 SE +/- 3763.31, N = 3 SE +/- 3586.19, N = 3 SE +/- 609.77, N = 3 SE +/- 266.25, N = 3 SE +/- 1323.33, N = 3 SE +/- 4110.48, N = 3 634561 506342 785917 757534 701580 582296 345027 180148 656678 210214 481548 394967 508910 500818 537605 336368 178695 183458 257573 510664 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 140K 280K 420K 560K 700K Min: 624142.08 / Avg: 634561 / Max: 641064.42 Min: 500795.59 / Avg: 506341.5 / Max: 509930.62 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: 581229 / Avg: 582296.11 / Max: 583425.84 Min: 344295.55 / Avg: 345027.02 / Max: 345724.67 Min: 178655.05 / Avg: 180147.65 / Max: 181039.86 Min: 655132.62 / Avg: 656678.07 / Max: 657547.1 Min: 208973.57 / Avg: 210214.04 / Max: 211595.71 Min: 478206.73 / Avg: 481547.66 / Max: 483942.66 Min: 385982.64 / Avg: 394967.22 / Max: 408822.68 Min: 502276.92 / Avg: 508909.53 / Max: 520836.94 Min: 497670.11 / Avg: 500818.18 / Max: 504404.28 Min: 533339.97 / Avg: 537605.07 / Max: 545108.31 Min: 329201.77 / Avg: 336367.81 / Max: 340212.2 Min: 177644.71 / Avg: 178695.44 / Max: 179756.92 Min: 183091.48 / Avg: 183458.35 / Max: 183976.04 Min: 256160.28 / Avg: 257573.06 / Max: 260217.66 Min: 505127.29 / Avg: 510664.49 / Max: 518695.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6000M 12000M 18000M 24000M 30000M SE +/- 150437988.79, N = 3 SE +/- 319930671.11, N = 3 SE +/- 295544204.19, N = 3 SE +/- 302020444.34, N = 3 SE +/- 264303439.24, N = 3 SE +/- 221045514.68, N = 3 SE +/- 257688840.28, N = 3 SE +/- 403725574.05, N = 3 SE +/- 277727800.92, N = 3 SE +/- 162622849.80, N = 3 SE +/- 260349467.99, N = 3 SE +/- 199580423.82, N = 3 SE +/- 371050761.61, N = 3 SE +/- 405179316.78, N = 3 SE +/- 270641509.43, N = 3 SE +/- 262528887.35, N = 3 SE +/- 314647678.30, N = 3 SE +/- 286988667.50, N = 3 SE +/- 252259078.21, N = 3 SE +/- 382431111.51, N = 3 22522673323 25935430170 27371988085 27156606176 26811743887 25481171757 25583041011 26833773763 26784839020 21612938632 25983329425 21458302092 26413350226 27160653682 25579772126 26061132684 26554811142 25036050319 26635457359 25830214816
Result Confidence
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5000M 10000M 15000M 20000M 25000M Min: 22320233608 / Avg: 22522673322.67 / Max: 22816658288 Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544 Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082 Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778 Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361 Min: 25250159824 / Avg: 25481171757 / Max: 25923110678 Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369 Min: 26256594229 / Avg: 26833773762.67 / Max: 27611373608 Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021 Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507 Min: 25699669989 / Avg: 25983329425 / Max: 26503310607 Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278 Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051 Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664 Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612 Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633 Min: 26148149868 / Avg: 26554811141.67 / Max: 27174049750 Min: 24721687629 / Avg: 25036050319 / Max: 25609127757 Min: 26296989348 / Avg: 26635457358.67 / Max: 27128702910 Min: 25402613145 / Avg: 25830214816 / Max: 26593222601
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.3229 0.6458 0.9687 1.2916 1.6145 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 +/- 0.008, 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 +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 0.415 0.368 0.237 0.241 0.276 0.451 0.650 1.435 0.274 1.082 0.402 0.557 0.398 0.522 0.341 0.702 1.316 1.230 0.898 0.367 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.41 / Avg: 0.42 / Max: 0.42 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 1.42 / Avg: 1.44 / Max: 1.45 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 1.31 / Avg: 1.32 / Max: 1.32 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.37 / Avg: 0.37 / Max: 0.37 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 Only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K SE +/- 1237.62, N = 3 SE +/- 698.73, N = 3 SE +/- 439.48, N = 3 SE +/- 3428.94, N = 3 SE +/- 3994.82, N = 3 SE +/- 1659.30, N = 3 SE +/- 747.28, N = 3 SE +/- 935.52, N = 3 SE +/- 2858.95, N = 3 SE +/- 314.41, N = 3 SE +/- 1300.37, N = 3 SE +/- 247.10, N = 3 SE +/- 1060.79, N = 3 SE +/- 2381.51, N = 3 SE +/- 163.34, N = 3 SE +/- 983.22, N = 3 SE +/- 385.55, N = 3 SE +/- 157.88, N = 3 SE +/- 828.02, N = 3 SE +/- 2101.53, N = 3 602322 680113 1060976 1043587 908863 554557 384689 174275 914347 231128 623136 449472 629507 479150 733943 356559 190059 203359 278597 682046 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K Min: 599951.34 / Avg: 602321.79 / Max: 604124.16 Min: 679380.73 / Avg: 680112.82 / Max: 681509.73 Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29 Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46 Min: 901023.8 / Avg: 908863.23 / Max: 914118.29 Min: 551482.14 / Avg: 554557.27 / Max: 557175.36 Min: 383335.36 / Avg: 384688.76 / Max: 385914.57 Min: 172542.45 / Avg: 174274.56 / Max: 175753.34 Min: 910647.35 / Avg: 914347.4 / Max: 919972.73 Min: 230581.84 / Avg: 231127.53 / Max: 231670.99 Min: 620536.19 / Avg: 623136.4 / Max: 624482.31 Min: 449071.78 / Avg: 449472.37 / Max: 449923.29 Min: 628222.87 / Avg: 629507.42 / Max: 631611.99 Min: 474924.16 / Avg: 479150.29 / Max: 483165.89 Min: 733728.54 / Avg: 733942.94 / Max: 734263.61 Min: 354891.14 / Avg: 356559.36 / Max: 358295.09 Min: 189289.03 / Avg: 190059.49 / Max: 190471.93 Min: 203075.46 / Avg: 203358.71 / Max: 203621.17 Min: 277146.26 / Avg: 278597.12 / Max: 280014 Min: 678570.63 / Avg: 682046.07 / Max: 685830.81 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 11.24 14.89 15.28 14.85 14.81 15.89 16.80 15.49 14.79 13.37 15.04 12.42 16.02 16.15 14.87 15.29 14.95 17.38 14.76 14.88 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 11.24 / Avg: 11.24 / Max: 11.25 Min: 14.81 / Avg: 14.89 / Max: 15 Min: 15.2 / Avg: 15.28 / Max: 15.33 Min: 14.76 / Avg: 14.85 / Max: 14.97 Min: 14.8 / Avg: 14.81 / Max: 14.83 Min: 15.84 / Avg: 15.89 / Max: 15.98 Min: 16.74 / Avg: 16.8 / Max: 16.86 Min: 15.38 / Avg: 15.49 / Max: 15.55 Min: 14.77 / Avg: 14.79 / Max: 14.81 Min: 13.31 / Avg: 13.37 / Max: 13.42 Min: 14.95 / Avg: 15.04 / Max: 15.1 Min: 12.37 / Avg: 12.41 / Max: 12.44 Min: 15.91 / Avg: 16.02 / Max: 16.14 Min: 16.1 / Avg: 16.15 / Max: 16.17 Min: 14.83 / Avg: 14.87 / Max: 14.9 Min: 15.28 / Avg: 15.29 / Max: 15.3 Min: 14.83 / Avg: 14.95 / Max: 15.07 Min: 17.33 / Avg: 17.38 / Max: 17.42 Min: 14.73 / Avg: 14.75 / Max: 14.78 Min: 14.81 / Avg: 14.88 / Max: 15.01 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 SE +/- 1.31, N = 3 SE +/- 12.34, N = 3 SE +/- 9.37, N = 3 SE +/- 14.10, N = 3 SE +/- 2.06, N = 3 SE +/- 8.90, N = 3 SE +/- 6.14, N = 3 SE +/- 11.57, N = 3 SE +/- 2.04, N = 3 SE +/- 9.36, N = 3 SE +/- 10.25, N = 3 SE +/- 7.15, N = 3 SE +/- 13.12, N = 3 SE +/- 4.65, N = 3 SE +/- 4.85, N = 3 SE +/- 1.63, N = 3 SE +/- 15.99, N = 3 SE +/- 4.01, N = 3 SE +/- 3.23, N = 3 SE +/- 15.04, N = 3 4449 3358 3273 3368 3377 3147 2977 3230 3382 3741 3327 4029 3123 3098 3364 3272 3346 2878 3390 3362 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 Min: 4446.99 / Avg: 4449.47 / Max: 4451.42 Min: 3335.68 / Avg: 3358.5 / Max: 3378.07 Min: 3262.47 / Avg: 3273.27 / Max: 3291.93 Min: 3341.38 / Avg: 3367.51 / Max: 3389.77 Min: 3373.11 / Avg: 3376.68 / Max: 3380.25 Min: 3129.71 / Avg: 3147.27 / Max: 3158.56 Min: 2967.51 / Avg: 2977.32 / Max: 2988.61 Min: 3216.88 / Avg: 3229.71 / Max: 3252.81 Min: 3378.64 / Avg: 3382.28 / Max: 3385.69 Min: 3725.9 / Avg: 3740.97 / Max: 3758.14 Min: 3313.45 / Avg: 3326.77 / Max: 3346.92 Min: 4020.68 / Avg: 4028.65 / Max: 4042.93 Min: 3098.75 / Avg: 3122.83 / Max: 3143.89 Min: 3093.05 / Avg: 3098.13 / Max: 3107.42 Min: 3356.73 / Avg: 3364.45 / Max: 3373.4 Min: 3268.78 / Avg: 3271.87 / Max: 3274.31 Min: 3318.02 / Avg: 3346.08 / Max: 3373.39 Min: 2871.61 / Avg: 2877.76 / Max: 2885.29 Min: 3383.71 / Avg: 3389.79 / Max: 3394.75 Min: 3332 / Avg: 3362.06 / Max: 3378.15 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.1186 0.2372 0.3558 0.4744 0.593 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, 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 0.186 0.145 0.119 0.119 0.105 0.192 0.274 0.527 0.106 0.445 0.160 0.244 0.170 0.223 0.134 0.274 0.522 0.503 0.359 0.144 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.18 / Avg: 0.19 / Max: 0.19 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.44 / Avg: 0.44 / Max: 0.45 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.5 / Avg: 0.5 / Max: 0.51 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.14 / Avg: 0.14 / Max: 0.15 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K SE +/- 3196.29, N = 3 SE +/- 2789.75, N = 3 SE +/- 1464.36, N = 3 SE +/- 570.05, N = 3 SE +/- 2622.87, N = 3 SE +/- 1031.24, N = 3 SE +/- 1217.31, N = 3 SE +/- 87.29, N = 3 SE +/- 3785.97, N = 3 SE +/- 704.81, N = 3 SE +/- 6473.07, N = 3 SE +/- 819.25, N = 3 SE +/- 287.53, N = 3 SE +/- 884.69, N = 3 SE +/- 574.88, N = 3 SE +/- 2227.34, N = 3 SE +/- 444.88, N = 3 SE +/- 874.00, N = 3 SE +/- 637.02, N = 3 SE +/- 2586.15, N = 3 538427 690889 837443 842042 954573 522618 364724 190060 947547 225099 625180 410284 588980 450148 746431 364836 191561 199119 278801 692827 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 170K 340K 510K 680K 850K Min: 532561.51 / Avg: 538427.36 / Max: 543560.87 Min: 685623.23 / Avg: 690888.85 / Max: 695119.5 Min: 834514.55 / Avg: 837442.79 / Max: 838952.55 Min: 841070.28 / Avg: 842041.76 / Max: 843044.24 Min: 949330.8 / Avg: 954572.83 / Max: 957364.51 Min: 520867.61 / Avg: 522617.98 / Max: 524437.91 Min: 362322.11 / Avg: 364724.07 / Max: 366269.28 Min: 189965.32 / Avg: 190060.47 / Max: 190234.8 Min: 940111.61 / Avg: 947547.37 / Max: 952503.31 Min: 224328.18 / Avg: 225098.69 / Max: 226506.21 Min: 612463.48 / Avg: 625180.49 / Max: 633639.01 Min: 408978.87 / Avg: 410283.57 / Max: 411794.3 Min: 588673.02 / Avg: 588979.95 / Max: 589554.56 Min: 448933.06 / Avg: 450147.68 / Max: 451869.24 Min: 745405.8 / Avg: 746431 / Max: 747394.36 Min: 360469.96 / Avg: 364836.23 / Max: 367784.14 Min: 190678.73 / Avg: 191561.09 / Max: 192101.4 Min: 197398.93 / Avg: 199119.18 / Max: 200248.01 Min: 277732.53 / Avg: 278800.91 / Max: 279936.18 Min: 690194.76 / Avg: 692827.15 / Max: 697999.18 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 6.80 7.50 7.63 7.53 7.62 7.51 7.63 7.87 7.62 6.46 7.51 6.45 7.63 7.99 7.40 7.88 7.87 7.41 7.86 7.53
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 21.71 22.56 21.84 22.09 21.89 22.50 22.99 34.95 22.52 30.46 22.62 21.12 22.44 23.54 22.45 24.49 34.04 32.94 26.16 22.50 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 21.62 / Avg: 21.71 / Max: 21.87 Min: 22.52 / Avg: 22.56 / Max: 22.59 Min: 21.78 / Avg: 21.84 / Max: 21.91 Min: 21.93 / Avg: 22.09 / Max: 22.28 Min: 21.8 / Avg: 21.89 / Max: 22.01 Min: 22.46 / Avg: 22.5 / Max: 22.57 Min: 22.8 / Avg: 22.99 / Max: 23.09 Min: 34.83 / Avg: 34.95 / Max: 35.15 Min: 22.4 / Avg: 22.52 / Max: 22.67 Min: 30.32 / Avg: 30.46 / Max: 30.59 Min: 22.57 / Avg: 22.62 / Max: 22.72 Min: 20.98 / Avg: 21.12 / Max: 21.25 Min: 22.27 / Avg: 22.44 / Max: 22.73 Min: 23.46 / Avg: 23.54 / Max: 23.67 Min: 22.36 / Avg: 22.45 / Max: 22.59 Min: 24.37 / Avg: 24.49 / Max: 24.73 Min: 33.76 / Avg: 34.04 / Max: 34.3 Min: 32.82 / Avg: 32.94 / Max: 33.1 Min: 25.92 / Avg: 26.16 / Max: 26.43 Min: 22.42 / Avg: 22.5 / Max: 22.59 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.28, N = 4 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.25, N = 15 SE +/- 0.16, N = 15 SE +/- 0.19, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.28, N = 3 SE +/- 0.00, N = 3 SE +/- 0.21, N = 4 SE +/- 0.14, N = 6 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.24, N = 15 18.55 19.60 27.53 27.41 23.66 14.57 11.54 6.49 24.70 7.66 16.83 13.84 14.91 13.00 19.87 11.06 5.57 6.06 8.77 18.72
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 18.53 / Avg: 18.55 / Max: 18.57 Min: 18.81 / Avg: 19.6 / Max: 20.07 Min: 27.42 / Avg: 27.53 / Max: 27.62 Min: 27.34 / Avg: 27.41 / Max: 27.46 Min: 22 / Avg: 23.66 / Max: 25.03 Min: 13.77 / Avg: 14.57 / Max: 15.9 Min: 11.19 / Avg: 11.54 / Max: 11.82 Min: 6.46 / Avg: 6.49 / Max: 6.51 Min: 24.56 / Avg: 24.7 / Max: 24.8 Min: 7.63 / Avg: 7.66 / Max: 7.7 Min: 16.43 / Avg: 16.83 / Max: 17.36 Min: 13.83 / Avg: 13.84 / Max: 13.84 Min: 14.66 / Avg: 14.91 / Max: 15.55 Min: 12.45 / Avg: 13 / Max: 13.55 Min: 19.63 / Avg: 19.87 / Max: 20.32 Min: 10.99 / Avg: 11.06 / Max: 11.12 Min: 5.47 / Avg: 5.57 / Max: 5.62 Min: 6.02 / Avg: 6.06 / Max: 6.09 Min: 8.73 / Avg: 8.77 / Max: 8.81 Min: 16.88 / Avg: 18.72 / Max: 19.81
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 0.81, N = 3 SE +/- 2.21, N = 3 SE +/- 0.05, N = 3 SE +/- 3.04, N = 3 SE +/- 0.99, N = 3 SE +/- 0.85, N = 3 SE +/- 1.41, N = 3 SE +/- 1.71, N = 3 SE +/- 1.86, N = 3 SE +/- 2.65, N = 3 SE +/- 2.19, N = 3 SE +/- 1.62, N = 3 SE +/- 3.86, N = 3 SE +/- 3.05, N = 3 SE +/- 2.79, N = 3 SE +/- 1.82, N = 3 SE +/- 0.67, N = 3 SE +/- 1.25, N = 3 SE +/- 2.14, N = 3 SE +/- 2.14, N = 3 1020.30 957.98 942.70 912.66 945.95 949.99 930.43 871.81 938.95 1021.52 940.24 1070.51 915.08 877.83 971.19 918.81 838.12 885.81 893.05 959.68 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 1019.2 / Avg: 1020.3 / Max: 1021.87 Min: 954.44 / Avg: 957.98 / Max: 962.03 Min: 942.6 / Avg: 942.7 / Max: 942.78 Min: 907.1 / Avg: 912.66 / Max: 917.55 Min: 944.15 / Avg: 945.95 / Max: 947.58 Min: 948.99 / Avg: 949.99 / Max: 951.68 Min: 928.27 / Avg: 930.43 / Max: 933.08 Min: 869.8 / Avg: 871.81 / Max: 875.21 Min: 936.51 / Avg: 938.95 / Max: 942.6 Min: 1017.45 / Avg: 1021.52 / Max: 1026.49 Min: 936.37 / Avg: 940.24 / Max: 943.96 Min: 1068.74 / Avg: 1070.51 / Max: 1073.75 Min: 908.66 / Avg: 915.08 / Max: 922 Min: 873.21 / Avg: 877.83 / Max: 883.6 Min: 965.61 / Avg: 971.19 / Max: 974.12 Min: 916.37 / Avg: 918.81 / Max: 922.37 Min: 837.05 / Avg: 838.12 / Max: 839.34 Min: 884.13 / Avg: 885.81 / Max: 888.26 Min: 888.78 / Avg: 893.05 / Max: 895.41 Min: 957.34 / Avg: 959.68 / Max: 963.95 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.5468 1.0936 1.6404 2.1872 2.734 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 +/- 0.01, 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 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 2.30 2.08 2.02 2.04 2.03 2.08 2.06 1.90 2.03 2.29 2.07 2.43 2.03 1.95 2.11 2.01 1.88 1.98 1.95 2.07 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.3 / Avg: 2.3 / Max: 2.3 Min: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.02 / Avg: 2.02 / Max: 2.03 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.03 / Avg: 2.03 / Max: 2.03 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 1.89 / Avg: 1.9 / Max: 1.9 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.28 / Avg: 2.29 / Max: 2.31 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.42 / Avg: 2.43 / Max: 2.44 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 1.95 / Avg: 1.95 / Max: 1.95 Min: 2.06 / Avg: 2.07 / Max: 2.07 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, 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 +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 17.29 16.91 13.44 13.61 14.21 19.01 24.58 46.73 14.44 36.78 17.87 20.77 16.94 21.44 16.09 27.16 45.07 42.15 32.80 16.98
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 17.2 / Avg: 17.29 / Max: 17.42 Min: 16.84 / Avg: 16.91 / Max: 17 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: 18.97 / Avg: 19.01 / Max: 19.04 Min: 24.53 / Avg: 24.57 / Max: 24.64 Min: 46.7 / Avg: 46.73 / Max: 46.78 Min: 14.36 / Avg: 14.43 / Max: 14.5 Min: 36.73 / Avg: 36.78 / Max: 36.82 Min: 17.84 / Avg: 17.87 / Max: 17.89 Min: 20.74 / Avg: 20.77 / Max: 20.81 Min: 16.89 / Avg: 16.94 / Max: 16.98 Min: 21.4 / Avg: 21.44 / Max: 21.5 Min: 16.01 / Avg: 16.09 / Max: 16.14 Min: 27.07 / Avg: 27.15 / Max: 27.25 Min: 45 / Avg: 45.07 / Max: 45.14 Min: 42.08 / Avg: 42.15 / Max: 42.23 Min: 32.74 / Avg: 32.8 / Max: 32.87 Min: 16.98 / Avg: 16.98 / Max: 16.98
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.40, N = 3 SE +/- 0.35, N = 3 SE +/- 0.05, N = 3 19.15 19.78 17.61 17.64 18.04 20.77 23.97 38.47 18.47 29.68 20.28 20.67 19.73 22.74 19.26 25.78 36.66 34.06 29.47 19.75
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 19.06 / Avg: 19.15 / Max: 19.27 Min: 19.76 / Avg: 19.78 / Max: 19.81 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: 20.57 / Avg: 20.77 / Max: 20.89 Min: 23.81 / Avg: 23.97 / Max: 24.23 Min: 38.31 / Avg: 38.47 / Max: 38.59 Min: 18.09 / Avg: 18.47 / Max: 18.77 Min: 29.37 / Avg: 29.68 / Max: 30.01 Min: 20.07 / Avg: 20.28 / Max: 20.43 Min: 20.45 / Avg: 20.67 / Max: 20.81 Min: 19.62 / Avg: 19.73 / Max: 19.91 Min: 22.56 / Avg: 22.74 / Max: 22.85 Min: 19.19 / Avg: 19.26 / Max: 19.36 Min: 25.7 / Avg: 25.78 / Max: 25.91 Min: 36.66 / Avg: 36.66 / Max: 36.67 Min: 33.54 / Avg: 34.06 / Max: 34.86 Min: 28.91 / Avg: 29.47 / Max: 30.12 Min: 19.69 / Avg: 19.75 / Max: 19.84
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 SE +/- 0.45, N = 3 SE +/- 0.43, N = 3 SE +/- 1.01, N = 3 SE +/- 3.59, N = 3 SE +/- 0.50, N = 3 SE +/- 0.72, N = 3 SE +/- 0.37, N = 3 SE +/- 0.40, N = 3 SE +/- 7.30, N = 3 SE +/- 11.63, N = 3 SE +/- 0.49, N = 3 SE +/- 0.17, N = 3 SE +/- 0.73, N = 3 SE +/- 4.52, N = 3 SE +/- 0.70, N = 3 SE +/- 0.46, N = 3 SE +/- 5.64, N = 3 SE +/- 2.02, N = 3 SE +/- 5.52, N = 3 SE +/- 2.04, N = 3 4938.52 4472.13 4403.81 4458.22 4405.75 4472.73 4406.41 4273.08 4397.19 5165.05 4472.15 5205.65 4405.46 4195.41 4538.40 4272.70 4230.65 4535.60 4247.54 4470.35 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 900 1800 2700 3600 4500 Min: 4937.84 / Avg: 4938.52 / Max: 4939.37 Min: 4471.27 / Avg: 4472.13 / Max: 4472.64 Min: 4401.81 / Avg: 4403.81 / Max: 4405.07 Min: 4454.33 / Avg: 4458.22 / Max: 4465.38 Min: 4404.93 / Avg: 4405.75 / Max: 4406.67 Min: 4471.91 / Avg: 4472.73 / Max: 4474.16 Min: 4405.81 / Avg: 4406.41 / Max: 4407.1 Min: 4272.36 / Avg: 4273.08 / Max: 4273.74 Min: 4382.74 / Avg: 4397.19 / Max: 4406.2 Min: 5141.81 / Avg: 5165.05 / Max: 5177.6 Min: 4471.19 / Avg: 4472.15 / Max: 4472.78 Min: 5205.31 / Avg: 5205.65 / Max: 5205.87 Min: 4404.07 / Avg: 4405.46 / Max: 4406.52 Min: 4186.38 / Avg: 4195.41 / Max: 4200.32 Min: 4537.09 / Avg: 4538.4 / Max: 4539.48 Min: 4271.85 / Avg: 4272.7 / Max: 4273.41 Min: 4224.18 / Avg: 4230.65 / Max: 4241.89 Min: 4531.58 / Avg: 4535.6 / Max: 4537.98 Min: 4237.16 / Avg: 4247.54 / Max: 4256 Min: 4466.28 / Avg: 4470.35 / Max: 4472.69 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, 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 +/- 0.02, N = 3 SE +/- 0.03, 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 +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 21.17 23.31 23.68 23.39 23.65 23.29 23.63 24.40 23.67 20.13 23.35 20.05 23.74 24.83 22.96 24.39 24.62 23.21 24.56 23.31 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 21.15 / Avg: 21.17 / Max: 21.18 Min: 23.29 / Avg: 23.31 / Max: 23.33 Min: 23.65 / Avg: 23.68 / Max: 23.73 Min: 23.37 / Avg: 23.39 / Max: 23.44 Min: 23.61 / Avg: 23.64 / Max: 23.67 Min: 23.29 / Avg: 23.29 / Max: 23.29 Min: 23.61 / Avg: 23.63 / Max: 23.66 Min: 24.38 / Avg: 24.4 / Max: 24.42 Min: 23.66 / Avg: 23.67 / Max: 23.68 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 23.32 / Avg: 23.35 / Max: 23.4 Min: 20.04 / Avg: 20.05 / Max: 20.08 Min: 23.71 / Avg: 23.74 / Max: 23.79 Min: 24.78 / Avg: 24.83 / Max: 24.86 Min: 22.94 / Avg: 22.96 / Max: 22.97 Min: 24.38 / Avg: 24.39 / Max: 24.41 Min: 24.55 / Avg: 24.62 / Max: 24.66 Min: 23.17 / Avg: 23.21 / Max: 23.23 Min: 24.49 / Avg: 24.56 / Max: 24.62 Min: 23.28 / Avg: 23.31 / Max: 23.36 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 SE +/- 0.27, N = 3 SE +/- 1.84, N = 3 SE +/- 4.04, N = 3 SE +/- 1.24, N = 3 SE +/- 1.34, N = 3 SE +/- 0.56, N = 3 SE +/- 0.41, N = 3 SE +/- 0.74, N = 3 SE +/- 1.79, N = 3 SE +/- 0.05, N = 3 SE +/- 1.03, N = 3 SE +/- 0.77, N = 3 SE +/- 0.14, N = 3 SE +/- 2.06, N = 3 SE +/- 0.39, N = 3 SE +/- 0.74, N = 3 SE +/- 0.82, N = 3 SE +/- 1.31, N = 3 SE +/- 1.01, N = 3 SE +/- 0.33, N = 3 297.78 324.95 340.47 340.47 339.74 325.88 331.74 332.86 332.40 273.03 329.83 280.01 341.63 355.28 322.45 332.32 336.71 318.66 335.26 329.73 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 297.27 / Avg: 297.78 / Max: 298.2 Min: 321.27 / Avg: 324.95 / Max: 326.89 Min: 335.17 / Avg: 340.47 / Max: 348.41 Min: 338.86 / Avg: 340.47 / Max: 342.91 Min: 338.1 / Avg: 339.74 / Max: 342.39 Min: 324.89 / Avg: 325.88 / Max: 326.82 Min: 331.09 / Avg: 331.74 / Max: 332.5 Min: 331.66 / Avg: 332.86 / Max: 334.2 Min: 329.08 / Avg: 332.4 / Max: 335.2 Min: 272.98 / Avg: 273.03 / Max: 273.13 Min: 328.48 / Avg: 329.83 / Max: 331.86 Min: 278.81 / Avg: 280.01 / Max: 281.44 Min: 341.48 / Avg: 341.63 / Max: 341.9 Min: 351.77 / Avg: 355.28 / Max: 358.9 Min: 322.03 / Avg: 322.45 / Max: 323.23 Min: 330.91 / Avg: 332.32 / Max: 333.45 Min: 335.1 / Avg: 336.71 / Max: 337.79 Min: 317.11 / Avg: 318.66 / Max: 321.26 Min: 333.82 / Avg: 335.26 / Max: 337.2 Min: 329.06 / Avg: 329.73 / Max: 330.13 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, 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 +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 16.99 16.50 13.37 13.50 14.31 18.38 23.73 40.08 14.42 33.35 17.22 20.03 16.90 20.54 15.78 24.53 40.71 38.32 29.84 16.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 16.98 / Avg: 16.99 / Max: 17 Min: 16.5 / Avg: 16.5 / Max: 16.51 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: 18.34 / Avg: 18.38 / Max: 18.4 Min: 23.7 / Avg: 23.73 / Max: 23.74 Min: 40.02 / Avg: 40.08 / Max: 40.19 Min: 14.38 / Avg: 14.42 / Max: 14.46 Min: 33.34 / Avg: 33.35 / Max: 33.36 Min: 17.21 / Avg: 17.22 / Max: 17.23 Min: 20.02 / Avg: 20.03 / Max: 20.05 Min: 16.87 / Avg: 16.9 / Max: 16.92 Min: 20.5 / Avg: 20.54 / Max: 20.56 Min: 15.75 / Avg: 15.78 / Max: 15.83 Min: 24.5 / Avg: 24.53 / Max: 24.55 Min: 40.67 / Avg: 40.71 / Max: 40.8 Min: 38.3 / Avg: 38.32 / Max: 38.35 Min: 29.81 / Avg: 29.84 / Max: 29.87 Min: 16.48 / Avg: 16.49 / Max: 16.5 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 21.13 23.22 23.63 23.82 24.07 22.48 21.84 20.50 23.58 17.74 23.65 20.00 24.25 23.79 23.20 21.44 20.31 20.00 20.95 23.52
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 21.02 / Avg: 21.13 / Max: 21.32 Min: 23.14 / Avg: 23.22 / Max: 23.3 Min: 23.46 / Avg: 23.63 / Max: 23.79 Min: 23.79 / Avg: 23.82 / Max: 23.84 Min: 23.98 / Avg: 24.07 / Max: 24.22 Min: 22.36 / Avg: 22.48 / Max: 22.58 Min: 21.81 / Avg: 21.84 / Max: 21.9 Min: 20.43 / Avg: 20.5 / Max: 20.53 Min: 23.52 / Avg: 23.58 / Max: 23.62 Min: 17.67 / Avg: 17.74 / Max: 17.81 Min: 23.5 / Avg: 23.65 / Max: 23.85 Min: 19.9 / Avg: 20 / Max: 20.09 Min: 24.14 / Avg: 24.25 / Max: 24.4 Min: 23.73 / Avg: 23.79 / Max: 23.83 Min: 23.02 / Avg: 23.2 / Max: 23.51 Min: 21.26 / Avg: 21.44 / Max: 21.62 Min: 20.22 / Avg: 20.31 / Max: 20.36 Min: 19.95 / Avg: 20 / Max: 20.09 Min: 20.87 / Avg: 20.95 / Max: 21.03 Min: 23.3 / Avg: 23.52 / Max: 23.66
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.078, N = 3 SE +/- 0.243, N = 12 SE +/- 0.018, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.033, N = 3 SE +/- 0.225, N = 15 SE +/- 0.098, N = 3 SE +/- 0.038, N = 3 SE +/- 0.028, N = 3 SE +/- 0.003, N = 3 SE +/- 0.215, N = 3 SE +/- 0.423, N = 15 SE +/- 0.011, N = 3 SE +/- 0.023, N = 3 SE +/- 0.093, N = 3 SE +/- 0.062, N = 3 SE +/- 0.012, N = 3 SE +/- 0.080, N = 3 SE +/- 0.010, N = 3 14.781 12.391 11.090 7.859 13.241 13.439 14.751 18.871 12.138 18.899 12.750 17.374 14.081 13.752 12.672 13.495 19.044 20.129 15.471 12.631 1. (CXX) g++ options: -fopenmp -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 14.69 / Avg: 14.78 / Max: 14.94 Min: 9.72 / Avg: 12.39 / Max: 12.67 Min: 11.05 / Avg: 11.09 / Max: 11.12 Min: 7.85 / Avg: 7.86 / Max: 7.87 Min: 13.23 / Avg: 13.24 / Max: 13.26 Min: 13.4 / Avg: 13.44 / Max: 13.5 Min: 12.55 / Avg: 14.75 / Max: 15.22 Min: 18.73 / Avg: 18.87 / Max: 19.06 Min: 12.06 / Avg: 12.14 / Max: 12.18 Min: 18.84 / Avg: 18.9 / Max: 18.93 Min: 12.74 / Avg: 12.75 / Max: 12.75 Min: 16.95 / Avg: 17.37 / Max: 17.59 Min: 10.76 / Avg: 14.08 / Max: 14.97 Min: 13.74 / Avg: 13.75 / Max: 13.77 Min: 12.64 / Avg: 12.67 / Max: 12.72 Min: 13.39 / Avg: 13.5 / Max: 13.68 Min: 18.92 / Avg: 19.04 / Max: 19.11 Min: 20.11 / Avg: 20.13 / Max: 20.15 Min: 15.31 / Avg: 15.47 / Max: 15.56 Min: 12.62 / Avg: 12.63 / Max: 12.65 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 32.06 28.46 27.67 27.58 27.84 28.43 28.08 26.56 27.92 33.05 28.16 33.89 27.50 26.85 28.76 27.99 26.48 26.91 26.78 28.36 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 31.92 / Avg: 32.06 / Max: 32.14 Min: 28.3 / Avg: 28.46 / Max: 28.76 Min: 27.6 / Avg: 27.67 / Max: 27.72 Min: 27.45 / Avg: 27.58 / Max: 27.68 Min: 27.65 / Avg: 27.84 / Max: 28.15 Min: 28.25 / Avg: 28.43 / Max: 28.56 Min: 27.82 / Avg: 28.08 / Max: 28.27 Min: 26.54 / Avg: 26.56 / Max: 26.6 Min: 27.88 / Avg: 27.92 / Max: 27.99 Min: 32.88 / Avg: 33.05 / Max: 33.16 Min: 28.11 / Avg: 28.16 / Max: 28.2 Min: 33.74 / Avg: 33.89 / Max: 34.08 Min: 27.33 / Avg: 27.5 / Max: 27.69 Min: 26.66 / Avg: 26.85 / Max: 26.96 Min: 28.64 / Avg: 28.76 / Max: 28.84 Min: 27.8 / Avg: 27.99 / Max: 28.13 Min: 26.42 / Avg: 26.48 / Max: 26.57 Min: 26.83 / Avg: 26.91 / Max: 26.99 Min: 26.51 / Avg: 26.78 / Max: 26.92 Min: 28.35 / Avg: 28.36 / Max: 28.39 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 29.99 49.80 47.41 44.54 29.73 28.57 18.53 43.98 22.67 29.74 34.03 29.54 27.59 31.27 27.54 18.66 19.57 21.08 29.97 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: Slow EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 29.88 / Avg: 29.99 / Max: 30.06 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: 29.56 / Avg: 29.73 / Max: 29.85 Min: 28.43 / Avg: 28.57 / Max: 28.66 Min: 18.5 / Avg: 18.53 / Max: 18.57 Min: 43.56 / Avg: 43.98 / Max: 44.38 Min: 22.59 / Avg: 22.67 / Max: 22.72 Min: 29.56 / Avg: 29.74 / Max: 29.85 Min: 33.98 / Avg: 34.03 / Max: 34.08 Min: 29.47 / Avg: 29.54 / Max: 29.59 Min: 27.43 / Avg: 27.59 / Max: 27.68 Min: 31.18 / Avg: 31.27 / Max: 31.41 Min: 27.47 / Avg: 27.54 / Max: 27.66 Min: 18.61 / Avg: 18.66 / Max: 18.69 Min: 19.54 / Avg: 19.57 / Max: 19.6 Min: 21.06 / Avg: 21.08 / Max: 21.11 Min: 29.8 / Avg: 29.97 / Max: 30.19 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.46, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 276.20 303.53 308.03 304.61 309.42 303.36 309.77 319.96 307.88 262.37 303.50 261.64 308.21 323.49 299.07 317.09 319.57 302.08 319.16 304.54 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 275.8 / Avg: 276.2 / Max: 276.46 Min: 303.41 / Avg: 303.53 / Max: 303.69 Min: 307.98 / Avg: 308.03 / Max: 308.08 Min: 304.4 / Avg: 304.61 / Max: 304.79 Min: 309.2 / Avg: 309.42 / Max: 309.6 Min: 303.21 / Avg: 303.36 / Max: 303.64 Min: 309.24 / Avg: 309.77 / Max: 310.24 Min: 319.64 / Avg: 319.96 / Max: 320.15 Min: 307.77 / Avg: 307.88 / Max: 307.95 Min: 262.2 / Avg: 262.37 / Max: 262.49 Min: 303.26 / Avg: 303.5 / Max: 303.75 Min: 261.36 / Avg: 261.64 / Max: 262.03 Min: 308.08 / Avg: 308.21 / Max: 308.37 Min: 322.66 / Avg: 323.49 / Max: 324.24 Min: 298.75 / Avg: 299.07 / Max: 299.36 Min: 317.03 / Avg: 317.09 / Max: 317.19 Min: 319.47 / Avg: 319.57 / Max: 319.68 Min: 301.98 / Avg: 302.08 / Max: 302.14 Min: 318.9 / Avg: 319.16 / Max: 319.3 Min: 304.21 / Avg: 304.53 / Max: 304.8 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.03237, N = 3 SE +/- 0.00963, N = 3 SE +/- 0.01117, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.00807, N = 3 SE +/- 0.04730, N = 3 SE +/- 0.00888, N = 3 SE +/- 0.13888, N = 3 SE +/- 0.03246, N = 3 SE +/- 0.04355, N = 3 SE +/- 0.01709, N = 3 SE +/- 0.03563, N = 3 SE +/- 0.01388, N = 3 SE +/- 0.02264, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.07374, N = 3 SE +/- 0.02321, N = 3 SE +/- 0.06464, N = 3 SE +/- 0.07848, N = 3 SE +/- 0.00330, N = 3 5.81070 2.20492 1.84929 2.11772 1.97320 6.08993 6.23365 9.24304 2.07711 7.96836 2.37717 5.61953 2.39590 7.15861 2.11379 6.27642 9.61958 8.37286 5.80076 2.23666 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.75 / Avg: 5.81 / Max: 5.86 Min: 2.19 / Avg: 2.2 / Max: 2.22 Min: 1.83 / Avg: 1.85 / Max: 1.87 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 1.96 / Avg: 1.97 / Max: 1.99 Min: 6.03 / Avg: 6.09 / Max: 6.18 Min: 6.22 / Avg: 6.23 / Max: 6.24 Min: 9 / Avg: 9.24 / Max: 9.48 Min: 2.03 / Avg: 2.08 / Max: 2.14 Min: 7.89 / Avg: 7.97 / Max: 8.04 Min: 2.34 / Avg: 2.38 / Max: 2.4 Min: 5.55 / Avg: 5.62 / Max: 5.66 Min: 2.37 / Avg: 2.4 / Max: 2.42 Min: 7.12 / Avg: 7.16 / Max: 7.19 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 6.18 / Avg: 6.28 / Max: 6.42 Min: 9.58 / Avg: 9.62 / Max: 9.65 Min: 8.25 / Avg: 8.37 / Max: 8.47 Min: 5.71 / Avg: 5.8 / Max: 5.96 Min: 2.23 / Avg: 2.24 / Max: 2.24 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 19.02 20.93 21.14 21.01 21.02 20.91 21.22 22.37 21.05 18.12 20.82 18.00 21.08 21.81 20.60 21.72 22.17 20.64 21.90 20.78 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 19.01 / Avg: 19.02 / Max: 19.03 Min: 20.89 / Avg: 20.92 / Max: 20.96 Min: 20.84 / Avg: 21.14 / Max: 21.35 Min: 20.99 / Avg: 21.01 / Max: 21.04 Min: 20.88 / Avg: 21.02 / Max: 21.28 Min: 20.78 / Avg: 20.91 / Max: 21 Min: 20.99 / Avg: 21.22 / Max: 21.35 Min: 22.22 / Avg: 22.37 / Max: 22.61 Min: 20.78 / Avg: 21.05 / Max: 21.2 Min: 17.87 / Avg: 18.12 / Max: 18.32 Min: 20.55 / Avg: 20.82 / Max: 20.97 Min: 17.78 / Avg: 18 / Max: 18.13 Min: 20.84 / Avg: 21.08 / Max: 21.24 Min: 21.8 / Avg: 21.81 / Max: 21.84 Min: 20.54 / Avg: 20.6 / Max: 20.64 Min: 21.57 / Avg: 21.72 / Max: 21.97 Min: 21.96 / Avg: 22.17 / Max: 22.31 Min: 20.34 / Avg: 20.64 / Max: 20.82 Min: 21.53 / Avg: 21.9 / Max: 22.27 Min: 20.52 / Avg: 20.78 / Max: 20.95 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 30.79 51.19 48.68 45.08 30.60 29.30 18.97 44.71 23.16 30.36 34.75 30.11 28.14 31.94 28.31 19.08 20.03 21.67 30.77 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 30.69 / Avg: 30.79 / Max: 30.85 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: 30.52 / Avg: 30.6 / Max: 30.67 Min: 29.22 / Avg: 29.3 / Max: 29.46 Min: 18.96 / Avg: 18.97 / Max: 18.98 Min: 44.52 / Avg: 44.71 / Max: 44.88 Min: 23.11 / Avg: 23.16 / Max: 23.24 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 34.58 / Avg: 34.75 / Max: 34.85 Min: 30.01 / Avg: 30.11 / Max: 30.19 Min: 28.04 / Avg: 28.14 / Max: 28.26 Min: 31.87 / Avg: 31.94 / Max: 31.99 Min: 28.2 / Avg: 28.31 / Max: 28.39 Min: 19.05 / Avg: 19.08 / Max: 19.1 Min: 19.98 / Avg: 20.03 / Max: 20.05 Min: 21.62 / Avg: 21.67 / Max: 21.76 Min: 30.69 / Avg: 30.77 / Max: 30.84 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 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 +/- 0.00, N = 3 10.49 9.56 6.25 6.26 7.21 11.48 16.30 32.38 7.26 27.00 10.39 13.77 9.87 13.30 8.88 17.54 32.88 30.98 22.25 9.55 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 10.48 / Avg: 10.49 / Max: 10.5 Min: 9.55 / Avg: 9.56 / Max: 9.57 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: 11.48 / Avg: 11.48 / Max: 11.49 Min: 16.29 / Avg: 16.3 / Max: 16.3 Min: 32.37 / Avg: 32.38 / Max: 32.38 Min: 7.25 / Avg: 7.26 / Max: 7.26 Min: 26.97 / Avg: 27 / Max: 27.02 Min: 10.38 / Avg: 10.39 / Max: 10.4 Min: 13.76 / Avg: 13.77 / Max: 13.78 Min: 9.87 / Avg: 9.87 / Max: 9.87 Min: 13.3 / Avg: 13.3 / Max: 13.3 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 17.54 / Avg: 17.54 / Max: 17.55 Min: 32.87 / Avg: 32.88 / Max: 32.89 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 22.24 / Avg: 22.25 / Max: 22.25 Min: 9.55 / Avg: 9.55 / Max: 9.55 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 90 180 270 360 450 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.52, N = 3 SE +/- 0.09, N = 3 SE +/- 0.28, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.85, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 4.59, N = 4 SE +/- 0.34, N = 3 SE +/- 0.29, N = 3 SE +/- 0.02, N = 3 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 SE +/- 0.13, N = 3 402.57 364.47 359.12 362.64 359.14 364.33 359.12 348.20 358.90 420.08 364.53 424.12 354.73 341.93 370.17 348.10 344.85 369.89 345.62 364.82 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 Min: 402.41 / Avg: 402.57 / Max: 402.69 Min: 364.4 / Avg: 364.47 / Max: 364.59 Min: 358.94 / Avg: 359.12 / Max: 359.32 Min: 361.93 / Avg: 362.64 / Max: 363.65 Min: 359.02 / Avg: 359.14 / Max: 359.3 Min: 363.76 / Avg: 364.33 / Max: 364.62 Min: 358.96 / Avg: 359.12 / Max: 359.25 Min: 348.13 / Avg: 348.2 / Max: 348.25 Min: 358.44 / Avg: 358.9 / Max: 359.26 Min: 419.22 / Avg: 420.08 / Max: 421.77 Min: 364.38 / Avg: 364.53 / Max: 364.74 Min: 423.79 / Avg: 424.12 / Max: 424.37 Min: 340.96 / Avg: 354.73 / Max: 359.49 Min: 341.43 / Avg: 341.93 / Max: 342.57 Min: 369.59 / Avg: 370.17 / Max: 370.5 Min: 348.07 / Avg: 348.1 / Max: 348.12 Min: 344.39 / Avg: 344.85 / Max: 345.2 Min: 369.74 / Avg: 369.89 / Max: 370.08 Min: 345.16 / Avg: 345.62 / Max: 346.1 Min: 364.58 / Avg: 364.82 / Max: 365.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, 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 +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 18.61 20.49 20.79 20.72 20.78 20.52 20.87 21.63 20.79 17.83 20.59 17.73 20.84 21.91 20.19 21.45 21.93 20.20 21.68 20.52
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 18.56 / Avg: 18.61 / Max: 18.64 Min: 20.45 / Avg: 20.49 / Max: 20.51 Min: 20.77 / Avg: 20.79 / Max: 20.81 Min: 20.66 / Avg: 20.72 / Max: 20.76 Min: 20.76 / Avg: 20.78 / Max: 20.8 Min: 20.48 / Avg: 20.52 / Max: 20.58 Min: 20.85 / Avg: 20.87 / Max: 20.9 Min: 21.61 / Avg: 21.63 / Max: 21.64 Min: 20.77 / Avg: 20.79 / Max: 20.82 Min: 17.8 / Avg: 17.83 / Max: 17.88 Min: 20.53 / Avg: 20.59 / Max: 20.65 Min: 17.69 / Avg: 17.73 / Max: 17.8 Min: 20.79 / Avg: 20.84 / Max: 20.91 Min: 21.79 / Avg: 21.91 / Max: 22.06 Min: 20.15 / Avg: 20.19 / Max: 20.21 Min: 21.44 / Avg: 21.45 / Max: 21.47 Min: 21.86 / Avg: 21.93 / Max: 22.06 Min: 20.18 / Avg: 20.2 / Max: 20.23 Min: 21.62 / Avg: 21.68 / Max: 21.74 Min: 20.49 / Avg: 20.52 / Max: 20.54
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.28, N = 3 SE +/- 0.20, N = 3 333.87 302.38 297.96 301.30 297.79 302.31 297.66 288.79 298.00 349.06 302.33 351.65 297.88 283.96 306.83 288.71 285.66 306.78 286.58 302.26 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 333.76 / Avg: 333.87 / Max: 333.94 Min: 302.31 / Avg: 302.37 / Max: 302.42 Min: 297.9 / Avg: 297.96 / Max: 298.06 Min: 301.1 / Avg: 301.3 / Max: 301.58 Min: 297.63 / Avg: 297.78 / Max: 297.96 Min: 302.23 / Avg: 302.31 / Max: 302.38 Min: 297.46 / Avg: 297.66 / Max: 297.95 Min: 288.69 / Avg: 288.79 / Max: 288.94 Min: 297.78 / Avg: 298 / Max: 298.16 Min: 348.75 / Avg: 349.06 / Max: 349.44 Min: 302.17 / Avg: 302.33 / Max: 302.45 Min: 351.48 / Avg: 351.65 / Max: 351.75 Min: 297.79 / Avg: 297.88 / Max: 297.94 Min: 283.71 / Avg: 283.96 / Max: 284.24 Min: 306.75 / Avg: 306.83 / Max: 306.95 Min: 288.64 / Avg: 288.71 / Max: 288.82 Min: 285.41 / Avg: 285.66 / Max: 285.91 Min: 306.68 / Avg: 306.78 / Max: 306.92 Min: 286.21 / Avg: 286.58 / Max: 287.13 Min: 301.89 / Avg: 302.26 / Max: 302.56 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 130.42 118.07 116.34 117.51 116.27 118.08 116.33 112.59 116.39 136.44 118.15 137.29 116.34 110.95 119.93 112.79 111.50 119.89 112.08 118.11 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 130.4 / Avg: 130.42 / Max: 130.44 Min: 118 / Avg: 118.07 / Max: 118.14 Min: 116.33 / Avg: 116.34 / Max: 116.36 Min: 117.11 / Avg: 117.51 / Max: 117.71 Min: 116.21 / Avg: 116.27 / Max: 116.31 Min: 117.97 / Avg: 118.07 / Max: 118.15 Min: 116.27 / Avg: 116.33 / Max: 116.42 Min: 112.52 / Avg: 112.59 / Max: 112.7 Min: 116.37 / Avg: 116.39 / Max: 116.42 Min: 136.12 / Avg: 136.44 / Max: 136.6 Min: 118.1 / Avg: 118.15 / Max: 118.18 Min: 137.03 / Avg: 137.29 / Max: 137.45 Min: 116.29 / Avg: 116.34 / Max: 116.37 Min: 110.9 / Avg: 110.95 / Max: 111.06 Min: 119.91 / Avg: 119.93 / Max: 119.95 Min: 112.66 / Avg: 112.79 / Max: 112.89 Min: 110.91 / Avg: 111.5 / Max: 111.87 Min: 119.86 / Avg: 119.89 / Max: 119.92 Min: 111.89 / Avg: 112.08 / Max: 112.39 Min: 118.05 / Avg: 118.11 / Max: 118.2 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 1.32, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 82.98 75.12 74.00 74.80 74.02 75.14 74.02 71.80 74.05 87.13 75.14 86.15 74.03 70.48 76.29 71.71 71.45 76.25 71.59 75.07 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 82.97 / Avg: 82.98 / Max: 83 Min: 75.06 / Avg: 75.12 / Max: 75.17 Min: 73.98 / Avg: 74 / Max: 74.02 Min: 74.73 / Avg: 74.8 / Max: 74.9 Min: 74.01 / Avg: 74.02 / Max: 74.04 Min: 75.12 / Avg: 75.14 / Max: 75.16 Min: 74.01 / Avg: 74.02 / Max: 74.02 Min: 71.8 / Avg: 71.8 / Max: 71.81 Min: 74.04 / Avg: 74.05 / Max: 74.09 Min: 86.95 / Avg: 87.13 / Max: 87.22 Min: 75.11 / Avg: 75.14 / Max: 75.16 Min: 83.52 / Avg: 86.15 / Max: 87.48 Min: 73.99 / Avg: 74.03 / Max: 74.05 Min: 70.4 / Avg: 70.48 / Max: 70.61 Min: 76.28 / Avg: 76.29 / Max: 76.31 Min: 71.68 / Avg: 71.71 / Max: 71.77 Min: 71.36 / Avg: 71.45 / Max: 71.51 Min: 76.22 / Avg: 76.25 / Max: 76.3 Min: 71.58 / Avg: 71.59 / Max: 71.61 Min: 75.03 / Avg: 75.07 / Max: 75.13 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K SE +/- 9.11, N = 3 SE +/- 0.83, N = 3 SE +/- 0.76, N = 3 SE +/- 6.95, N = 3 SE +/- 0.23, N = 3 SE +/- 1.87, N = 3 SE +/- 0.80, N = 3 SE +/- 0.38, N = 3 SE +/- 2.07, N = 3 SE +/- 0.42, N = 3 SE +/- 1.27, N = 3 SE +/- 1.70, N = 3 SE +/- 3.92, N = 3 SE +/- 0.65, N = 3 SE +/- 1.54, N = 3 SE +/- 0.25, N = 3 SE +/- 0.55, N = 3 SE +/- 0.64, N = 3 SE +/- 0.72, N = 3 SE +/- 0.48, N = 3 6350.7 7396.3 12330.2 11503.7 10299.8 5854.8 3873.2 1878.6 9912.0 2264.8 6850.1 4574.4 7180.2 5221.3 7757.8 3757.1 1855.0 1971.6 2794.5 7393.3 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K Min: 6340.8 / Avg: 6350.7 / Max: 6368.9 Min: 7394.7 / Avg: 7396.27 / Max: 7397.5 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: 5851.2 / Avg: 5854.77 / Max: 5857.5 Min: 3872.2 / Avg: 3873.23 / Max: 3874.8 Min: 1878 / Avg: 1878.63 / Max: 1879.3 Min: 9907.9 / Avg: 9912.03 / Max: 9914.1 Min: 2264.3 / Avg: 2264.77 / Max: 2265.6 Min: 6848.7 / Avg: 6850.07 / Max: 6852.6 Min: 4571.2 / Avg: 4574.37 / Max: 4577 Min: 7172.5 / Avg: 7180.17 / Max: 7185.4 Min: 5220 / Avg: 5221.3 / Max: 5222 Min: 7755.5 / Avg: 7757.77 / Max: 7760.7 Min: 3756.8 / Avg: 3757.1 / Max: 3757.6 Min: 1853.9 / Avg: 1855 / Max: 1855.6 Min: 1970.4 / Avg: 1971.57 / Max: 1972.6 Min: 2793.6 / Avg: 2794.47 / Max: 2795.9 Min: 7392.8 / Avg: 7393.33 / Max: 7394.3 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.024, N = 3 SE +/- 0.007, N = 3 SE +/- 0.044, N = 3 SE +/- 0.075, N = 3 SE +/- 0.048, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.033, N = 3 SE +/- 0.005, N = 3 SE +/- 0.021, N = 3 SE +/- 0.019, N = 3 SE +/- 0.042, N = 3 SE +/- 0.039, N = 3 SE +/- 0.038, N = 3 SE +/- 0.006, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 SE +/- 0.013, N = 3 SE +/- 0.024, N = 3 6.728 6.771 8.191 7.953 7.908 6.095 4.626 2.553 7.694 3.073 6.429 5.201 6.575 5.286 7.075 4.082 2.549 2.674 3.525 6.710 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 6.68 / Avg: 6.73 / Max: 6.77 Min: 6.76 / Avg: 6.77 / Max: 6.78 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: 6.08 / Avg: 6.1 / Max: 6.11 Min: 4.62 / Avg: 4.63 / Max: 4.64 Min: 2.55 / Avg: 2.55 / Max: 2.56 Min: 7.64 / Avg: 7.69 / Max: 7.75 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 6.41 / Avg: 6.43 / Max: 6.47 Min: 5.17 / Avg: 5.2 / Max: 5.24 Min: 6.5 / Avg: 6.58 / Max: 6.64 Min: 5.22 / Avg: 5.29 / Max: 5.35 Min: 7.02 / Avg: 7.07 / Max: 7.15 Min: 4.07 / Avg: 4.08 / Max: 4.09 Min: 2.54 / Avg: 2.55 / Max: 2.57 Min: 2.67 / Avg: 2.67 / Max: 2.68 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 6.66 / Avg: 6.71 / Max: 6.74 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130K 260K 390K 520K 650K SE +/- 837.97, N = 3 SE +/- 1200.01, N = 3 SE +/- 2747.06, N = 3 SE +/- 2165.69, N = 3 SE +/- 507.16, N = 3 SE +/- 583.02, N = 3 SE +/- 1526.06, N = 3 SE +/- 351.72, N = 3 SE +/- 2275.05, N = 3 SE +/- 2981.62, N = 3 SE +/- 2635.10, N = 3 SE +/- 2359.01, N = 3 SE +/- 2362.58, N = 3 SE +/- 1155.08, N = 3 SE +/- 2113.07, N = 3 SE +/- 2863.87, N = 3 SE +/- 3277.70, N = 3 SE +/- 2718.70, N = 3 SE +/- 3427.90, N = 3 SE +/- 1399.56, N = 3 571873 515021 504339 514218 506221 514044 506275 492401 507020 598080 513016 600343 504716 484301 520135 493191 488026 522810 490002 513979
Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100K 200K 300K 400K 500K Min: 570368 / Avg: 571873.33 / Max: 573264 Min: 512649 / Avg: 515020.67 / Max: 516525 Min: 499465 / Avg: 504338.67 / Max: 508972 Min: 510015 / Avg: 514218 / Max: 517226 Min: 505464 / Avg: 506220.67 / Max: 507184 Min: 513379 / Avg: 514044 / Max: 515206 Min: 503297 / Avg: 506275 / Max: 508343 Min: 492038 / Avg: 492400.67 / Max: 493104 Min: 503077 / Avg: 507020.33 / Max: 510958 Min: 592630 / Avg: 598080 / Max: 602901 Min: 510116 / Avg: 513016 / Max: 518277 Min: 596626 / Avg: 600343 / Max: 604718 Min: 500994 / Avg: 504716 / Max: 509098 Min: 482002 / Avg: 484301 / Max: 485647 Min: 517027 / Avg: 520135 / Max: 524169 Min: 488411 / Avg: 493191.33 / Max: 498314 Min: 481927 / Avg: 488025.67 / Max: 493157 Min: 517673 / Avg: 522810 / Max: 526922 Min: 486082 / Avg: 490002 / Max: 496833 Min: 511256 / Avg: 513979 / Max: 515902
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K SE +/- 80.13, N = 3 SE +/- 115.44, N = 3 SE +/- 78.14, N = 4 SE +/- 102.66, N = 3 SE +/- 170.94, N = 3 SE +/- 190.33, N = 3 SE +/- 163.64, N = 3 SE +/- 56.96, N = 3 SE +/- 189.94, N = 3 SE +/- 73.16, N = 3 SE +/- 155.07, N = 3 SE +/- 75.38, N = 3 SE +/- 60.88, N = 6 SE +/- 112.46, N = 3 SE +/- 63.42, N = 3 SE +/- 63.42, N = 3 SE +/- 50.19, N = 3 SE +/- 104.18, N = 3 SE +/- 56.96, N = 3 SE +/- 56.96, N = 3 15465 13218 12580 13335 12991 13704 13579 13101 12826 14779 13219 15076 13394 12933 13825 13762 12295 12554 13044 13101 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K Min: 15384.62 / Avg: 15464.74 / Max: 15625 Min: 12987.01 / Avg: 13217.89 / Max: 13333.33 Min: 12345.68 / Avg: 12580.09 / Max: 12658.23 Min: 13157.89 / Avg: 13334.91 / Max: 13513.51 Min: 12820.51 / Avg: 12991.45 / Max: 13333.33 Min: 13513.51 / Avg: 13703.84 / Max: 14084.51 Min: 13333.33 / Avg: 13578.58 / Max: 13888.89 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12500 / Avg: 12826.14 / Max: 13157.89 Min: 14705.88 / Avg: 14779.05 / Max: 14925.37 Min: 12987.01 / Avg: 13219.47 / Max: 13513.51 Min: 14925.37 / Avg: 15076.13 / Max: 15151.52 Min: 13333.33 / Avg: 13394.22 / Max: 13698.63 Min: 12820.51 / Avg: 12932.97 / Max: 13157.89 Min: 13698.63 / Avg: 13825.47 / Max: 13888.89 Min: 13698.63 / Avg: 13762.05 / Max: 13888.89 Min: 12195.12 / Avg: 12295.49 / Max: 12345.68 Min: 12345.68 / Avg: 12554.04 / Max: 12658.23 Min: 12987.01 / Avg: 13043.97 / Max: 13157.89 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 15.44 16.28 15.91 16.10 15.87 16.98 18.92 26.47 15.92 21.45 16.79 16.13 16.65 18.48 15.86 19.81 26.18 24.63 21.84 16.32
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 15.31 / Avg: 15.44 / Max: 15.53 Min: 16.15 / Avg: 16.28 / Max: 16.44 Min: 15.78 / Avg: 15.91 / Max: 16.06 Min: 15.99 / Avg: 16.1 / Max: 16.31 Min: 15.77 / Avg: 15.87 / Max: 15.96 Min: 16.83 / Avg: 16.98 / Max: 17.08 Min: 18.88 / Avg: 18.92 / Max: 18.95 Min: 26.32 / Avg: 26.47 / Max: 26.75 Min: 15.62 / Avg: 15.92 / Max: 16.18 Min: 21.38 / Avg: 21.45 / Max: 21.59 Min: 16.72 / Avg: 16.79 / Max: 16.88 Min: 15.95 / Avg: 16.13 / Max: 16.32 Min: 16.55 / Avg: 16.65 / Max: 16.77 Min: 18.4 / Avg: 18.48 / Max: 18.57 Min: 15.72 / Avg: 15.86 / Max: 16.06 Min: 19.75 / Avg: 19.81 / Max: 19.86 Min: 26.12 / Avg: 26.18 / Max: 26.25 Min: 24.56 / Avg: 24.63 / Max: 24.77 Min: 21.75 / Avg: 21.84 / Max: 21.96 Min: 16.1 / Avg: 16.32 / Max: 16.52
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K SE +/- 14.01, N = 5 SE +/- 23.76, N = 5 SE +/- 32.77, N = 5 SE +/- 35.94, N = 5 SE +/- 23.52, N = 5 SE +/- 18.34, N = 5 SE +/- 15.92, N = 5 SE +/- 12.43, N = 5 SE +/- 27.16, N = 5 SE +/- 40.08, N = 5 SE +/- 12.81, N = 5 SE +/- 13.28, N = 5 SE +/- 34.39, N = 5 SE +/- 86.08, N = 5 SE +/- 12.50, N = 5 SE +/- 7.59, N = 5 SE +/- 29.37, N = 5 SE +/- 22.12, N = 5 SE +/- 33.21, N = 5 SE +/- 18.08, N = 5 88258.2 79634.2 90228.3 89704.6 90802.5 79953.8 80513.0 52350.5 88756.6 81278.9 79606.6 91926.7 91183.6 79301.4 79643.9 51217.1 52030.3 82215.9 51571.1 79627.0 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16K 32K 48K 64K 80K Min: 88222.2 / Avg: 88258.16 / Max: 88304.6 Min: 79574.2 / Avg: 79634.24 / Max: 79689.4 Min: 90109.3 / Avg: 90228.28 / Max: 90303.3 Min: 89606.3 / Avg: 89704.6 / Max: 89822.2 Min: 90737.9 / Avg: 90802.52 / Max: 90873.1 Min: 79896.3 / Avg: 79953.78 / Max: 80003.9 Min: 80462.4 / Avg: 80513 / Max: 80556.1 Min: 52328.6 / Avg: 52350.52 / Max: 52398.9 Min: 88696.8 / Avg: 88756.64 / Max: 88824.7 Min: 81165 / Avg: 81278.94 / Max: 81396.4 Min: 79558.1 / Avg: 79606.62 / Max: 79628.9 Min: 91885.9 / Avg: 91926.68 / Max: 91960.2 Min: 91080.3 / Avg: 91183.56 / Max: 91262.4 Min: 79070.7 / Avg: 79301.44 / Max: 79534.5 Min: 79601.5 / Avg: 79643.86 / Max: 79678.1 Min: 51191.8 / Avg: 51217.06 / Max: 51236 Min: 51965.2 / Avg: 52030.26 / Max: 52108.8 Min: 82156.7 / Avg: 82215.88 / Max: 82275.5 Min: 51446.9 / Avg: 51571.1 / Max: 51646.4 Min: 79577.9 / Avg: 79627.04 / Max: 79677.1 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.4M 2.8M 4.2M 5.6M 7M SE +/- 11987.30, N = 3 SE +/- 1381.63, N = 3 SE +/- 11017.89, N = 3 SE +/- 4550.43, N = 3 SE +/- 10391.88, N = 3 SE +/- 12295.11, N = 3 SE +/- 15658.57, N = 3 SE +/- 3427.00, N = 3 SE +/- 2161.64, N = 3 SE +/- 1809.82, N = 3 SE +/- 10150.69, N = 3 SE +/- 8758.84, N = 3 SE +/- 3392.60, N = 3 SE +/- 74928.50, N = 3 SE +/- 1352.61, N = 3 SE +/- 4822.94, N = 3 SE +/- 6821.32, N = 3 SE +/- 9065.81, N = 3 SE +/- 4275.20, N = 3 SE +/- 11686.42, N = 3 5843383 5568287 6231095 6215179 6324546 5371013 4271821 2140186 6164612 2378481 5532974 4585335 6307291 5195397 5550661 4070067 2195652 2247000 3228017 5522472 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
Result Confidence
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.1M 2.2M 3.3M 4.4M 5.5M Min: 5819818 / Avg: 5843383 / Max: 5858987 Min: 5566364 / Avg: 5568287 / Max: 5570967 Min: 6213281 / Avg: 6231095.33 / Max: 6251235 Min: 6208570 / Avg: 6215179 / Max: 6223902 Min: 6311937 / Avg: 6324546 / Max: 6345159 Min: 5346542 / Avg: 5371013 / Max: 5385343 Min: 4240519 / Avg: 4271821 / Max: 4288315 Min: 2134305 / Avg: 2140185.67 / Max: 2146175 Min: 6161836 / Avg: 6164611.67 / Max: 6168870 Min: 2375572 / Avg: 2378481.33 / Max: 2381801 Min: 5521561 / Avg: 5532974.33 / Max: 5553221 Min: 4568020 / Avg: 4585334.67 / Max: 4596295 Min: 6301349 / Avg: 6307291.33 / Max: 6313099 Min: 5045873 / Avg: 5195397 / Max: 5278806 Min: 5548140 / Avg: 5550661.33 / Max: 5552771 Min: 4060974 / Avg: 4070067 / Max: 4077401 Min: 2186761 / Avg: 2195652.33 / Max: 2209059 Min: 2230117 / Avg: 2246999.67 / Max: 2261168 Min: 3223580 / Avg: 3228016.67 / Max: 3236565 Min: 5499170 / Avg: 5522471.67 / Max: 5535701 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.4148 0.8296 1.2444 1.6592 2.074 SE +/- 0.002349, N = 3 SE +/- 0.003266, N = 3 SE +/- 0.002637, N = 3 SE +/- 0.001105, N = 3 SE +/- 0.007556, N = 9 SE +/- 0.003662, N = 3 SE +/- 0.009798, N = 15 SE +/- 0.006472, N = 3 SE +/- 0.051492, N = 12 SE +/- 0.015210, N = 3 SE +/- 0.003436, N = 3 SE +/- 0.005635, N = 3 SE +/- 0.004547, N = 3 SE +/- 0.006121, N = 3 SE +/- 0.000576, N = 3 SE +/- 0.005483, N = 3 SE +/- 0.002690, N = 3 SE +/- 0.024818, N = 4 SE +/- 0.011469, N = 3 SE +/- 0.002135, N = 3 0.551721 0.702869 0.508448 0.624560 0.800377 0.749534 1.084500 1.843760 0.682353 1.496190 0.738508 0.692661 0.636335 0.861371 0.539435 1.175090 1.713940 1.662110 1.316400 0.712874 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.55 / Avg: 0.55 / Max: 0.56 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.5 / Avg: 0.51 / Max: 0.51 Min: 0.62 / Avg: 0.62 / Max: 0.63 Min: 0.76 / Avg: 0.8 / Max: 0.83 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 1.03 / Avg: 1.08 / Max: 1.21 Min: 1.84 / Avg: 1.84 / Max: 1.86 Min: 0.54 / Avg: 0.68 / Max: 0.95 Min: 1.48 / Avg: 1.5 / Max: 1.53 Min: 0.73 / Avg: 0.74 / Max: 0.74 Min: 0.68 / Avg: 0.69 / Max: 0.7 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.85 / Avg: 0.86 / Max: 0.87 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.63 / Avg: 1.66 / Max: 1.74 Min: 1.3 / Avg: 1.32 / Max: 1.34 Min: 0.71 / Avg: 0.71 / Max: 0.72 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11 22 33 44 55 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 42.87 48.99 48.34 46.23 33.75 35.22 21.55 46.27 25.63 41.60 38.66 40.73 31.17 45.97 34.46 21.75 22.38 28.30 42.56 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 Min: 42.73 / Avg: 42.87 / Max: 42.94 Min: 48.71 / Avg: 48.99 / Max: 49.27 Min: 48.14 / Avg: 48.34 / Max: 48.48 Min: 45.98 / Avg: 46.23 / Max: 46.37 Min: 33.59 / Avg: 33.75 / Max: 33.87 Min: 35.08 / Avg: 35.22 / Max: 35.32 Min: 21.55 / Avg: 21.55 / Max: 21.56 Min: 46.19 / Avg: 46.27 / Max: 46.35 Min: 25.59 / Avg: 25.63 / Max: 25.68 Min: 41.4 / Avg: 41.6 / Max: 41.77 Min: 38.6 / Avg: 38.66 / Max: 38.77 Min: 40.64 / Avg: 40.73 / Max: 40.82 Min: 30.99 / Avg: 31.17 / Max: 31.33 Min: 45.92 / Avg: 45.97 / Max: 46.07 Min: 34.38 / Avg: 34.46 / Max: 34.56 Min: 21.71 / Avg: 21.75 / Max: 21.78 Min: 22.34 / Avg: 22.38 / Max: 22.41 Min: 28.15 / Avg: 28.3 / Max: 28.48 Min: 42.44 / Avg: 42.56 / Max: 42.66 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 16.20 17.96 18.44 18.31 18.63 17.28 16.93 16.31 18.39 13.75 18.17 15.38 19.03 18.25 17.65 16.88 16.29 15.74 16.45 17.94
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 16.17 / Avg: 16.2 / Max: 16.24 Min: 17.87 / Avg: 17.96 / Max: 18.06 Min: 18.23 / Avg: 18.44 / Max: 18.55 Min: 18.27 / Avg: 18.31 / Max: 18.37 Min: 18.56 / Avg: 18.63 / Max: 18.69 Min: 17.22 / Avg: 17.28 / Max: 17.35 Min: 16.9 / Avg: 16.93 / Max: 16.95 Min: 16.27 / Avg: 16.31 / Max: 16.36 Min: 18.26 / Avg: 18.39 / Max: 18.63 Min: 13.7 / Avg: 13.75 / Max: 13.81 Min: 17.98 / Avg: 18.17 / Max: 18.38 Min: 15.29 / Avg: 15.38 / Max: 15.48 Min: 18.79 / Avg: 19.03 / Max: 19.24 Min: 18.18 / Avg: 18.25 / Max: 18.39 Min: 17.62 / Avg: 17.65 / Max: 17.69 Min: 16.78 / Avg: 16.88 / Max: 16.98 Min: 16.27 / Avg: 16.29 / Max: 16.3 Min: 15.66 / Avg: 15.74 / Max: 15.82 Min: 16.42 / Avg: 16.45 / Max: 16.47 Min: 17.92 / Avg: 17.94 / Max: 17.95
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1600 3200 4800 6400 8000 SE +/- 13.19, N = 4 SE +/- 24.99, N = 4 SE +/- 37.54, N = 4 SE +/- 16.56, N = 4 SE +/- 33.92, N = 4 SE +/- 42.04, N = 4 SE +/- 14.21, N = 4 SE +/- 23.71, N = 4 SE +/- 54.16, N = 4 SE +/- 27.00, N = 4 SE +/- 20.46, N = 4 SE +/- 34.74, N = 4 SE +/- 36.18, N = 4 SE +/- 61.44, N = 4 SE +/- 46.36, N = 4 SE +/- 46.47, N = 4 SE +/- 67.27, N = 4 SE +/- 24.61, N = 4 SE +/- 49.93, N = 4 SE +/- 31.28, N = 4 5216 7038 7288 7407 7391 7211 7242 5516 7217 4686 7035 5461 7470 7227 7069 6581 5292 5924 5998 7075
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1300 2600 3900 5200 6500 Min: 5179 / Avg: 5215.5 / Max: 5240 Min: 6980 / Avg: 7037.75 / Max: 7095 Min: 7188 / Avg: 7287.5 / Max: 7348 Min: 7374 / Avg: 7406.5 / Max: 7446 Min: 7328 / Avg: 7390.5 / Max: 7469 Min: 7118 / Avg: 7211 / Max: 7313 Min: 7204 / Avg: 7241.75 / Max: 7269 Min: 5452 / Avg: 5516.25 / Max: 5566 Min: 7119 / Avg: 7217.25 / Max: 7313 Min: 4611 / Avg: 4685.5 / Max: 4733 Min: 6980 / Avg: 7034.5 / Max: 7075 Min: 5376 / Avg: 5461.25 / Max: 5526 Min: 7396 / Avg: 7470.25 / Max: 7545 Min: 7055 / Avg: 7226.5 / Max: 7343 Min: 6961 / Avg: 7069.25 / Max: 7164 Min: 6450 / Avg: 6581.25 / Max: 6666 Min: 5161 / Avg: 5291.5 / Max: 5472 Min: 5879 / Avg: 5923.75 / Max: 5990 Min: 5871 / Avg: 5998.25 / Max: 6100 Min: 6986 / Avg: 7074.5 / Max: 7123
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 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 +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 15.31 15.72 16.05 16.52 15.89 16.10 16.93 20.30 15.77 16.89 15.89 15.40 16.38 16.88 15.56 16.67 20.01 18.93 17.24 15.73 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 15.27 / Avg: 15.31 / Max: 15.36 Min: 15.7 / Avg: 15.72 / Max: 15.74 Min: 16.04 / Avg: 16.05 / Max: 16.06 Min: 16.49 / Avg: 16.52 / Max: 16.55 Min: 15.87 / Avg: 15.89 / Max: 15.91 Min: 16.05 / Avg: 16.1 / Max: 16.12 Min: 16.87 / Avg: 16.93 / Max: 17 Min: 20.28 / Avg: 20.3 / Max: 20.33 Min: 15.75 / Avg: 15.77 / Max: 15.78 Min: 16.87 / Avg: 16.89 / Max: 16.95 Min: 15.85 / Avg: 15.89 / Max: 15.96 Min: 15.39 / Avg: 15.4 / Max: 15.42 Min: 16.33 / Avg: 16.38 / Max: 16.46 Min: 16.78 / Avg: 16.88 / Max: 16.95 Min: 15.54 / Avg: 15.56 / Max: 15.57 Min: 16.65 / Avg: 16.66 / Max: 16.68 Min: 19.99 / Avg: 20.01 / Max: 20.03 Min: 18.9 / Avg: 18.93 / Max: 18.96 Min: 17.2 / Avg: 17.24 / Max: 17.28 Min: 15.7 / Avg: 15.73 / Max: 15.76 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.018, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.016, N = 5 SE +/- 0.008, N = 5 SE +/- 0.012, N = 5 SE +/- 0.007, N = 5 SE +/- 0.003, N = 5 SE +/- 0.003, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 SE +/- 0.014, N = 5 SE +/- 0.006, N = 5 SE +/- 0.012, N = 5 SE +/- 0.006, N = 5 SE +/- 0.016, N = 5 SE +/- 0.004, N = 5 SE +/- 0.007, N = 5 SE +/- 0.009, N = 5 8.997 9.890 10.058 9.931 10.026 9.899 10.025 10.307 10.008 8.569 9.927 8.515 10.051 10.490 9.736 10.303 10.419 9.844 10.418 9.895 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 8.95 / Avg: 9 / Max: 9.05 Min: 9.87 / Avg: 9.89 / Max: 9.92 Min: 10.03 / Avg: 10.06 / Max: 10.08 Min: 9.88 / Avg: 9.93 / Max: 9.97 Min: 10 / Avg: 10.03 / Max: 10.05 Min: 9.88 / Avg: 9.9 / Max: 9.94 Min: 10.01 / Avg: 10.02 / Max: 10.05 Min: 10.3 / Avg: 10.31 / Max: 10.32 Min: 10 / Avg: 10.01 / Max: 10.02 Min: 8.55 / Avg: 8.57 / Max: 8.59 Min: 9.91 / Avg: 9.93 / Max: 9.95 Min: 8.49 / Avg: 8.51 / Max: 8.55 Min: 10.01 / Avg: 10.05 / Max: 10.09 Min: 10.47 / Avg: 10.49 / Max: 10.5 Min: 9.71 / Avg: 9.74 / Max: 9.76 Min: 10.29 / Avg: 10.3 / Max: 10.33 Min: 10.37 / Avg: 10.42 / Max: 10.46 Min: 9.83 / Avg: 9.84 / Max: 9.86 Min: 10.4 / Avg: 10.42 / Max: 10.44 Min: 9.87 / Avg: 9.9 / Max: 9.92 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.7973 1.5946 2.3919 3.1892 3.9865 SE +/- 0.00044, N = 3 SE +/- 0.00299, N = 3 SE +/- 0.01389, N = 3 SE +/- 0.03257, N = 3 SE +/- 0.01158, N = 3 SE +/- 0.01782, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.01156, N = 3 SE +/- 0.01138, N = 3 SE +/- 0.01854, N = 3 SE +/- 0.00983, N = 3 SE +/- 0.00098, N = 3 SE +/- 0.01751, N = 5 SE +/- 0.01559, N = 3 SE +/- 0.00451, N = 3 SE +/- 0.00586, N = 3 SE +/- 0.00803, N = 3 SE +/- 0.01144, N = 3 SE +/- 0.02463, N = 3 SE +/- 0.01607, N = 3 1.32784 1.17917 2.67161 2.96316 2.18140 1.52009 1.71797 3.52616 2.28719 2.99726 1.37066 1.49718 1.30689 1.74833 1.17179 1.81722 3.54349 3.16012 2.64623 1.22438 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 1.33 / Avg: 1.33 / Max: 1.33 Min: 1.17 / Avg: 1.18 / Max: 1.18 Min: 2.64 / Avg: 2.67 / Max: 2.69 Min: 2.9 / Avg: 2.96 / Max: 3.01 Min: 2.16 / Avg: 2.18 / Max: 2.2 Min: 1.49 / Avg: 1.52 / Max: 1.55 Min: 1.72 / Avg: 1.72 / Max: 1.72 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 2.27 / Avg: 2.29 / Max: 2.31 Min: 2.98 / Avg: 3 / Max: 3.03 Min: 1.35 / Avg: 1.37 / Max: 1.38 Min: 1.5 / Avg: 1.5 / Max: 1.5 Min: 1.28 / Avg: 1.31 / Max: 1.38 Min: 1.72 / Avg: 1.75 / Max: 1.78 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 1.81 / Avg: 1.82 / Max: 1.83 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 2.62 / Avg: 2.65 / Max: 2.7 Min: 1.19 / Avg: 1.22 / Max: 1.25 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.020, N = 3 SE +/- 0.030, N = 3 SE +/- 0.023, N = 3 SE +/- 0.014, N = 3 SE +/- 0.053, N = 3 SE +/- 0.006, N = 3 SE +/- 0.014, N = 3 SE +/- 0.018, N = 3 SE +/- 0.016, N = 3 SE +/- 0.015, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.015, N = 3 SE +/- 0.016, N = 3 SE +/- 0.006, N = 3 9.558 9.417 8.189 8.356 8.666 10.630 14.043 24.758 8.697 21.365 9.989 12.411 9.593 11.955 8.954 15.297 24.972 22.699 18.688 9.410
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 9.55 / Avg: 9.56 / Max: 9.56 Min: 9.41 / Avg: 9.42 / Max: 9.42 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: 10.59 / Avg: 10.63 / Max: 10.66 Min: 13.98 / Avg: 14.04 / Max: 14.07 Min: 24.72 / Avg: 24.76 / Max: 24.8 Min: 8.67 / Avg: 8.7 / Max: 8.72 Min: 21.29 / Avg: 21.37 / Max: 21.47 Min: 9.98 / Avg: 9.99 / Max: 10 Min: 12.4 / Avg: 12.41 / Max: 12.44 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 11.93 / Avg: 11.96 / Max: 11.99 Min: 8.94 / Avg: 8.95 / Max: 8.98 Min: 15.29 / Avg: 15.3 / Max: 15.3 Min: 24.97 / Avg: 24.97 / Max: 24.99 Min: 22.68 / Avg: 22.7 / Max: 22.73 Min: 18.67 / Avg: 18.69 / Max: 18.72 Min: 9.4 / Avg: 9.41 / Max: 9.42
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 SE +/- 0.01623, N = 3 SE +/- 0.02559, N = 3 SE +/- 0.04381, N = 3 SE +/- 0.01530, N = 3 SE +/- 0.03439, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.05246, N = 3 SE +/- 0.10006, N = 3 SE +/- 0.02805, N = 3 SE +/- 0.03995, N = 3 SE +/- 0.04417, N = 3 SE +/- 0.04779, N = 3 SE +/- 0.01212, N = 3 SE +/- 0.05632, N = 3 SE +/- 0.01406, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.09439, N = 3 SE +/- 0.01830, N = 3 SE +/- 0.04039, N = 3 SE +/- 0.02817, N = 3 10.31610 9.69987 7.05688 7.06818 8.01491 11.35090 15.38170 30.83500 8.12129 25.10930 10.53010 13.05300 10.06000 13.04390 9.15479 16.48410 30.85730 28.66640 20.34490 9.74450 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 Min: 10.3 / Avg: 10.32 / Max: 10.35 Min: 9.66 / Avg: 9.7 / Max: 9.75 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: 11.33 / Avg: 11.35 / Max: 11.38 Min: 15.31 / Avg: 15.38 / Max: 15.48 Min: 30.64 / Avg: 30.84 / Max: 30.97 Min: 8.09 / Avg: 8.12 / Max: 8.18 Min: 25.04 / Avg: 25.11 / Max: 25.18 Min: 10.44 / Avg: 10.53 / Max: 10.58 Min: 12.98 / Avg: 13.05 / Max: 13.14 Min: 10.05 / Avg: 10.06 / Max: 10.08 Min: 12.95 / Avg: 13.04 / Max: 13.14 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 16.35 / Avg: 16.48 / Max: 16.65 Min: 30.69 / Avg: 30.86 / Max: 31.02 Min: 28.63 / Avg: 28.67 / Max: 28.7 Min: 20.27 / Avg: 20.34 / Max: 20.41 Min: 9.69 / Avg: 9.74 / Max: 9.79 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, 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 SE +/- 0.01, 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 13.65 15.20 15.66 15.60 15.73 15.13 15.17 15.54 15.67 12.77 15.25 12.85 15.66 15.96 15.04 15.28 15.50 14.84 15.35 15.25
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 13.6 / Avg: 13.65 / Max: 13.68 Min: 15.16 / Avg: 15.2 / Max: 15.28 Min: 15.6 / Avg: 15.66 / Max: 15.74 Min: 15.54 / Avg: 15.6 / Max: 15.67 Min: 15.66 / Avg: 15.72 / Max: 15.76 Min: 15.12 / Avg: 15.12 / Max: 15.13 Min: 15.05 / Avg: 15.17 / Max: 15.24 Min: 15.43 / Avg: 15.54 / Max: 15.63 Min: 15.61 / Avg: 15.67 / Max: 15.75 Min: 12.73 / Avg: 12.77 / Max: 12.79 Min: 15.23 / Avg: 15.25 / Max: 15.28 Min: 12.82 / Avg: 12.85 / Max: 12.88 Min: 15.63 / Avg: 15.66 / Max: 15.69 Min: 15.86 / Avg: 15.96 / Max: 16.04 Min: 15.02 / Avg: 15.04 / Max: 15.06 Min: 15.24 / Avg: 15.28 / Max: 15.31 Min: 15.39 / Avg: 15.5 / Max: 15.57 Min: 14.8 / Avg: 14.83 / Max: 14.87 Min: 15.31 / Avg: 15.35 / Max: 15.42 Min: 15.16 / Avg: 15.25 / Max: 15.37
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.019, N = 3 SE +/- 0.017, N = 3 SE +/- 0.055, N = 3 SE +/- 0.010, N = 3 SE +/- 0.186, N = 14 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.061, N = 3 SE +/- 0.022, N = 3 SE +/- 0.016, N = 3 SE +/- 0.024, N = 3 SE +/- 0.150, N = 14 SE +/- 0.021, N = 3 SE +/- 0.011, N = 3 SE +/- 0.042, N = 3 SE +/- 0.013, N = 3 SE +/- 0.053, N = 3 SE +/- 0.170, N = 3 SE +/- 0.037, N = 3 SE +/- 0.035, N = 3 10.122 10.873 10.956 10.765 11.222 11.030 11.229 12.183 11.100 10.101 10.959 9.973 11.205 11.700 10.688 11.296 11.885 11.603 11.554 10.937
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 10.09 / Avg: 10.12 / Max: 10.15 Min: 10.84 / Avg: 10.87 / Max: 10.89 Min: 10.85 / Avg: 10.96 / Max: 11.03 Min: 10.75 / Avg: 10.77 / Max: 10.78 Min: 10.92 / Avg: 11.22 / Max: 13.63 Min: 11.01 / Avg: 11.03 / Max: 11.05 Min: 11.22 / Avg: 11.23 / Max: 11.25 Min: 12.1 / Avg: 12.18 / Max: 12.3 Min: 11.06 / Avg: 11.1 / Max: 11.13 Min: 10.08 / Avg: 10.1 / Max: 10.13 Min: 10.93 / Avg: 10.96 / Max: 11.01 Min: 9.75 / Avg: 9.97 / Max: 11.92 Min: 11.17 / Avg: 11.21 / Max: 11.24 Min: 11.68 / Avg: 11.7 / Max: 11.72 Min: 10.63 / Avg: 10.69 / Max: 10.77 Min: 11.28 / Avg: 11.3 / Max: 11.32 Min: 11.78 / Avg: 11.88 / Max: 11.96 Min: 11.42 / Avg: 11.6 / Max: 11.94 Min: 11.5 / Avg: 11.55 / Max: 11.62 Min: 10.87 / Avg: 10.94 / Max: 11
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 10 20 30 40 50 40.22 42.51 44.95 45.35 44.33 42.12 42.72 45.68 43.99 38.56 42.80 37.68 44.09 44.84 42.34 45.12 45.12 43.34 44.94 43.03
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 7 14 21 28 35 SE +/- 0.060, N = 3 SE +/- 0.023, N = 3 SE +/- 0.030, N = 3 SE +/- 0.089, N = 3 SE +/- 0.052, N = 3 SE +/- 0.014, N = 3 SE +/- 0.070, N = 3 SE +/- 0.042, N = 3 SE +/- 0.070, N = 3 SE +/- 0.047, N = 3 SE +/- 0.025, N = 3 SE +/- 0.011, N = 3 SE +/- 0.135, N = 3 SE +/- 0.112, N = 3 SE +/- 0.020, N = 3 SE +/- 0.047, N = 3 SE +/- 0.088, N = 3 SE +/- 0.102, N = 3 SE +/- 0.124, N = 3 SE +/- 0.009, N = 3 10.772 9.761 7.679 8.301 8.384 11.532 15.273 25.669 8.343 23.290 10.151 13.366 9.981 13.488 9.819 14.890 28.157 24.688 20.377 9.796 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 6 12 18 24 30 Min: 10.7 / Avg: 10.77 / Max: 10.89 Min: 9.72 / Avg: 9.76 / Max: 9.79 Min: 7.63 / Avg: 7.68 / Max: 7.73 Min: 8.14 / Avg: 8.3 / Max: 8.44 Min: 8.32 / Avg: 8.38 / Max: 8.49 Min: 11.51 / Avg: 11.53 / Max: 11.55 Min: 15.17 / Avg: 15.27 / Max: 15.41 Min: 25.59 / Avg: 25.67 / Max: 25.71 Min: 8.27 / Avg: 8.34 / Max: 8.48 Min: 23.21 / Avg: 23.29 / Max: 23.37 Min: 10.1 / Avg: 10.15 / Max: 10.19 Min: 13.35 / Avg: 13.37 / Max: 13.39 Min: 9.83 / Avg: 9.98 / Max: 10.25 Min: 13.28 / Avg: 13.49 / Max: 13.66 Min: 9.79 / Avg: 9.82 / Max: 9.86 Min: 14.82 / Avg: 14.89 / Max: 14.98 Min: 28.03 / Avg: 28.16 / Max: 28.33 Min: 24.56 / Avg: 24.69 / Max: 24.89 Min: 20.2 / Avg: 20.38 / Max: 20.62 Min: 9.78 / Avg: 9.8 / Max: 9.81 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.022, N = 5 SE +/- 0.027, N = 5 SE +/- 0.056, N = 5 SE +/- 0.074, N = 5 SE +/- 0.039, N = 5 SE +/- 0.075, N = 5 SE +/- 0.007, N = 5 SE +/- 0.038, N = 5 SE +/- 0.028, N = 5 SE +/- 0.029, N = 5 SE +/- 0.025, N = 5 SE +/- 0.008, N = 5 SE +/- 0.018, N = 5 SE +/- 0.052, N = 5 SE +/- 0.033, N = 5 SE +/- 0.010, N = 5 SE +/- 0.028, N = 5 SE +/- 0.016, N = 5 SE +/- 0.043, N = 5 SE +/- 0.017, N = 5 7.982 8.313 8.541 8.674 8.704 8.357 8.288 8.718 8.579 7.447 8.381 7.538 8.524 8.777 8.246 8.439 8.529 8.145 8.515 8.322
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 7.91 / Avg: 7.98 / Max: 8.04 Min: 8.26 / Avg: 8.31 / Max: 8.42 Min: 8.41 / Avg: 8.54 / Max: 8.68 Min: 8.54 / Avg: 8.67 / Max: 8.93 Min: 8.62 / Avg: 8.7 / Max: 8.83 Min: 8.27 / Avg: 8.36 / Max: 8.66 Min: 8.27 / Avg: 8.29 / Max: 8.31 Min: 8.63 / Avg: 8.72 / Max: 8.86 Min: 8.5 / Avg: 8.58 / Max: 8.64 Min: 7.37 / Avg: 7.45 / Max: 7.55 Min: 8.3 / Avg: 8.38 / Max: 8.45 Min: 7.52 / Avg: 7.54 / Max: 7.56 Min: 8.49 / Avg: 8.52 / Max: 8.59 Min: 8.65 / Avg: 8.78 / Max: 8.91 Min: 8.17 / Avg: 8.25 / Max: 8.36 Min: 8.41 / Avg: 8.44 / Max: 8.46 Min: 8.45 / Avg: 8.53 / Max: 8.62 Min: 8.09 / Avg: 8.14 / Max: 8.18 Min: 8.42 / Avg: 8.52 / Max: 8.61 Min: 8.27 / Avg: 8.32 / Max: 8.37
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1400 2800 4200 5600 7000 SE +/- 29.68, N = 4 SE +/- 20.63, N = 4 SE +/- 31.24, N = 4 SE +/- 69.19, N = 4 SE +/- 41.17, N = 4 SE +/- 40.00, N = 4 SE +/- 30.25, N = 4 SE +/- 38.97, N = 4 SE +/- 38.12, N = 4 SE +/- 38.45, N = 4 SE +/- 70.51, N = 4 SE +/- 44.91, N = 4 SE +/- 37.98, N = 4 SE +/- 52.55, N = 4 SE +/- 22.38, N = 4 SE +/- 43.33, N = 4 SE +/- 52.81, N = 4 SE +/- 63.10, N = 4 SE +/- 45.90, N = 4 SE +/- 35.97, N = 4 4123 5727 6596 6443 6196 5457 5051 4712 6270 3724 5754 3856 5856 5633 5713 5029 4541 4433 4856 5808
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1100 2200 3300 4400 5500 Min: 4069 / Avg: 4122.75 / Max: 4194 Min: 5686 / Avg: 5727 / Max: 5764 Min: 6503 / Avg: 6595.5 / Max: 6640 Min: 6285 / Avg: 6442.5 / Max: 6622 Min: 6082 / Avg: 6195.75 / Max: 6270 Min: 5386 / Avg: 5457.25 / Max: 5529 Min: 4966 / Avg: 5050.75 / Max: 5105 Min: 4618 / Avg: 4712 / Max: 4803 Min: 6211 / Avg: 6270 / Max: 6381 Min: 3675 / Avg: 3724.25 / Max: 3839 Min: 5574 / Avg: 5753.75 / Max: 5903 Min: 3739 / Avg: 3856 / Max: 3927 Min: 5756 / Avg: 5855.5 / Max: 5939 Min: 5484 / Avg: 5633 / Max: 5724 Min: 5658 / Avg: 5712.5 / Max: 5753 Min: 4903 / Avg: 5028.5 / Max: 5102 Min: 4417 / Avg: 4540.5 / Max: 4664 Min: 4326 / Avg: 4433.25 / Max: 4587 Min: 4734 / Avg: 4855.75 / Max: 4957 Min: 5746 / Avg: 5807.5 / Max: 5908
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.20, N = 3 SE +/- 0.48, N = 15 SE +/- 0.14, N = 3 SE +/- 0.44, N = 3 SE +/- 0.27, N = 15 SE +/- 0.58, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.39, N = 3 SE +/- 0.49, N = 15 SE +/- 0.90, N = 12 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.35, N = 15 SE +/- 0.25, N = 3 SE +/- 0.05, N = 3 SE +/- 0.35, N = 15 SE +/- 0.48, N = 15 SE +/- 0.44, N = 15 SE +/- 0.63, N = 3 34.31 34.68 41.08 40.10 34.66 39.06 35.44 34.67 35.42 34.42 39.89 34.69 38.99 36.46 39.86 40.48 36.01 38.46 37.04 38.35 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 Min: 34.07 / Avg: 34.31 / Max: 34.7 Min: 33.32 / Avg: 34.68 / Max: 39.23 Min: 40.94 / Avg: 41.08 / Max: 41.36 Min: 39.24 / Avg: 40.1 / Max: 40.64 Min: 33.09 / Avg: 34.66 / Max: 37.07 Min: 38.24 / Avg: 39.06 / Max: 40.17 Min: 35.25 / Avg: 35.44 / Max: 35.69 Min: 34.08 / Avg: 34.67 / Max: 35.48 Min: 34.79 / Avg: 35.42 / Max: 36.14 Min: 32.46 / Avg: 34.42 / Max: 39.15 Min: 36.69 / Avg: 39.89 / Max: 48.24 Min: 34.28 / Avg: 34.69 / Max: 35.08 Min: 38.52 / Avg: 38.99 / Max: 39.44 Min: 33.78 / Avg: 36.46 / Max: 38.67 Min: 39.35 / Avg: 39.86 / Max: 40.14 Min: 40.41 / Avg: 40.48 / Max: 40.58 Min: 34.31 / Avg: 36.01 / Max: 39.06 Min: 36.04 / Avg: 38.46 / Max: 41.61 Min: 34.83 / Avg: 37.04 / Max: 40.58 Min: 37.1 / Avg: 38.35 / Max: 38.99 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 13 26 39 52 65 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.68, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.31, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 48.62 47.29 47.04 47.91 50.06 48.64 37.45 48.42 46.25 48.18 60.10 47.41 46.48 51.25 47.76 37.92 39.72 46.17 48.43 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 Min: 48.35 / Avg: 48.62 / Max: 48.86 Min: 46.94 / Avg: 47.29 / Max: 47.49 Min: 46.56 / Avg: 47.04 / Max: 47.4 Min: 47.82 / Avg: 47.91 / Max: 48.03 Min: 49.8 / Avg: 50.06 / Max: 50.28 Min: 48.42 / Avg: 48.64 / Max: 48.79 Min: 37.05 / Avg: 37.45 / Max: 37.82 Min: 48.22 / Avg: 48.42 / Max: 48.64 Min: 45.22 / Avg: 46.25 / Max: 47.52 Min: 48.01 / Avg: 48.18 / Max: 48.3 Min: 59.89 / Avg: 60.1 / Max: 60.35 Min: 47.31 / Avg: 47.41 / Max: 47.53 Min: 46.29 / Avg: 46.48 / Max: 46.78 Min: 50.96 / Avg: 51.25 / Max: 51.53 Min: 47.56 / Avg: 47.76 / Max: 47.91 Min: 37.75 / Avg: 37.92 / Max: 38.03 Min: 39.28 / Avg: 39.72 / Max: 40.31 Min: 45.74 / Avg: 46.17 / Max: 46.61 Min: 48.32 / Avg: 48.43 / Max: 48.49 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 14 28 42 56 70 SE +/- 0.22, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.37, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 61.69 49.53 47.76 47.36 48.97 51.07 50.25 38.59 48.81 47.12 48.90 61.96 48.40 46.49 52.50 49.38 38.71 40.39 46.60 49.28 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 12 24 36 48 60 Min: 61.33 / Avg: 61.69 / Max: 62.09 Min: 49.3 / Avg: 49.53 / Max: 49.85 Min: 47.4 / Avg: 47.76 / Max: 48.09 Min: 47.1 / Avg: 47.36 / Max: 47.72 Min: 48.6 / Avg: 48.97 / Max: 49.3 Min: 51 / Avg: 51.07 / Max: 51.18 Min: 50.1 / Avg: 50.25 / Max: 50.53 Min: 38.52 / Avg: 38.59 / Max: 38.66 Min: 48.52 / Avg: 48.81 / Max: 49.11 Min: 46.64 / Avg: 47.12 / Max: 47.59 Min: 48.74 / Avg: 48.9 / Max: 49.08 Min: 61.73 / Avg: 61.96 / Max: 62.25 Min: 48.01 / Avg: 48.4 / Max: 48.72 Min: 46.36 / Avg: 46.49 / Max: 46.6 Min: 52.25 / Avg: 52.5 / Max: 52.9 Min: 49.02 / Avg: 49.38 / Max: 49.67 Min: 37.98 / Avg: 38.71 / Max: 39.2 Min: 40.24 / Avg: 40.39 / Max: 40.54 Min: 46.28 / Avg: 46.6 / Max: 46.88 Min: 49.16 / Avg: 49.28 / Max: 49.44 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.7793 1.5586 2.3379 3.1172 3.8965 SE +/- 0.002303, N = 3 SE +/- 0.001858, N = 3 SE +/- 0.001863, N = 3 SE +/- 0.000923, N = 3 SE +/- 0.001383, N = 3 SE +/- 0.003515, N = 3 SE +/- 0.001101, N = 3 SE +/- 0.004002, N = 3 SE +/- 0.002251, N = 3 SE +/- 0.009985, N = 3 SE +/- 0.003046, N = 3 SE +/- 0.000682, N = 3 SE +/- 0.002118, N = 3 SE +/- 0.004607, N = 3 SE +/- 0.001175, N = 3 SE +/- 0.004830, N = 3 SE +/- 0.016593, N = 3 SE +/- 0.006361, N = 3 SE +/- 0.007608, N = 3 SE +/- 0.002388, N = 3 1.065380 0.964679 0.719245 0.808188 0.787011 1.153190 1.610260 3.214030 0.806585 2.771650 1.044080 1.411110 1.070150 1.417550 0.904213 1.755500 3.463720 3.068100 2.349540 0.988117 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 1.06 / Avg: 1.07 / Max: 1.07 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 3.21 / Avg: 3.21 / Max: 3.22 Min: 0.8 / Avg: 0.81 / Max: 0.81 Min: 2.75 / Avg: 2.77 / Max: 2.78 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 1.07 / Avg: 1.07 / Max: 1.07 Min: 1.41 / Avg: 1.42 / Max: 1.43 Min: 0.9 / Avg: 0.9 / Max: 0.91 Min: 1.75 / Avg: 1.76 / Max: 1.76 Min: 3.43 / Avg: 3.46 / Max: 3.49 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 2.34 / Avg: 2.35 / Max: 2.36 Min: 0.99 / Avg: 0.99 / Max: 0.99 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9 18 27 36 45 SE +/- 0.15, N = 3 SE +/- 0.28, N = 3 SE +/- 0.24, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 39.2 36.3 34.1 33.9 35.0 35.2 31.8 18.6 36.0 24.5 35.2 35.7 34.9 32.5 36.7 27.4 20.6 22.3 24.7 36.0
Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 8 16 24 32 40 Min: 39 / Avg: 39.2 / Max: 39.5 Min: 35.7 / Avg: 36.27 / Max: 36.6 Min: 33.8 / Avg: 34.13 / Max: 34.6 Min: 33.7 / Avg: 33.9 / Max: 34.1 Min: 34.9 / Avg: 35.03 / Max: 35.2 Min: 35 / Avg: 35.2 / Max: 35.4 Min: 31.6 / Avg: 31.77 / Max: 32 Min: 18.5 / Avg: 18.63 / Max: 18.8 Min: 35.7 / Avg: 36.03 / Max: 36.4 Min: 24 / Avg: 24.5 / Max: 24.8 Min: 35.1 / Avg: 35.17 / Max: 35.2 Min: 35.4 / Avg: 35.7 / Max: 36.1 Min: 34.7 / Avg: 34.9 / Max: 35.1 Min: 32.4 / Avg: 32.5 / Max: 32.6 Min: 36.6 / Avg: 36.7 / Max: 36.9 Min: 27.2 / Avg: 27.37 / Max: 27.5 Min: 20.4 / Avg: 20.57 / Max: 20.7 Min: 22.2 / Avg: 22.27 / Max: 22.4 Min: 24.5 / Avg: 24.67 / Max: 24.8 Min: 35.5 / Avg: 35.97 / Max: 36.5
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.101, N = 7 SE +/- 0.049, N = 3 SE +/- 0.044, N = 3 SE +/- 0.023, N = 3 SE +/- 0.010, N = 3 SE +/- 0.026, N = 3 SE +/- 0.060, N = 3 SE +/- 0.098, N = 3 SE +/- 0.026, N = 3 SE +/- 0.033, N = 3 SE +/- 0.030, N = 3 SE +/- 0.028, N = 3 SE +/- 0.040, N = 3 SE +/- 0.052, N = 3 SE +/- 0.060, N = 3 SE +/- 0.005, N = 3 SE +/- 0.036, N = 3 SE +/- 0.035, N = 3 SE +/- 0.061, N = 3 SE +/- 0.035, N = 3 9.131 9.919 10.428 10.242 10.338 9.912 10.153 11.050 10.293 9.165 10.039 9.044 10.581 10.544 9.737 10.078 10.853 10.680 10.346 9.986
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 8.99 / Avg: 9.13 / Max: 9.74 Min: 9.83 / Avg: 9.92 / Max: 10 Min: 10.34 / Avg: 10.43 / Max: 10.48 Min: 10.2 / Avg: 10.24 / Max: 10.27 Min: 10.32 / Avg: 10.34 / Max: 10.35 Min: 9.87 / Avg: 9.91 / Max: 9.96 Min: 10.06 / Avg: 10.15 / Max: 10.27 Min: 10.91 / Avg: 11.05 / Max: 11.24 Min: 10.24 / Avg: 10.29 / Max: 10.33 Min: 9.11 / Avg: 9.16 / Max: 9.22 Min: 10 / Avg: 10.04 / Max: 10.1 Min: 8.99 / Avg: 9.04 / Max: 9.07 Min: 10.53 / Avg: 10.58 / Max: 10.66 Min: 10.49 / Avg: 10.54 / Max: 10.65 Min: 9.65 / Avg: 9.74 / Max: 9.85 Min: 10.07 / Avg: 10.08 / Max: 10.09 Min: 10.81 / Avg: 10.85 / Max: 10.93 Min: 10.62 / Avg: 10.68 / Max: 10.74 Min: 10.26 / Avg: 10.35 / Max: 10.47 Min: 9.95 / Avg: 9.99 / Max: 10.06
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 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.271, N = 14 SE +/- 0.041, N = 3 SE +/- 0.103, N = 15 SE +/- 0.106, N = 8 SE +/- 0.264, N = 15 SE +/- 0.094, N = 3 SE +/- 0.099, N = 12 SE +/- 0.113, N = 15 SE +/- 0.119, N = 15 SE +/- 0.168, N = 3 14.569 8.892 13.605 10.132 14.359 7.218 4.118 4.288 5.854 13.535 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 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 12.88 / Avg: 14.57 / Max: 16.27 Min: 8.83 / Avg: 8.89 / Max: 8.97 Min: 13.17 / Avg: 13.6 / Max: 14.89 Min: 9.86 / Avg: 10.13 / Max: 10.7 Min: 13.64 / Avg: 14.36 / Max: 16.59 Min: 7.06 / Avg: 7.22 / Max: 7.39 Min: 3.78 / Avg: 4.12 / Max: 4.65 Min: 4 / Avg: 4.29 / Max: 5.54 Min: 5.46 / Avg: 5.85 / Max: 7.34 Min: 13.28 / Avg: 13.53 / Max: 13.85 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.26, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 149.44 168.05 243.21 243.77 219.29 134.24 90.31 48.61 218.50 58.90 152.48 108.28 162.20 114.47 182.84 83.37 47.79 50.44 68.59 167.97
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 149.35 / Avg: 149.44 / Max: 149.54 Min: 167.87 / Avg: 168.05 / Max: 168.17 Min: 242.78 / Avg: 243.21 / Max: 243.72 Min: 243.6 / Avg: 243.77 / Max: 243.91 Min: 219.13 / Avg: 219.29 / Max: 219.46 Min: 134.14 / Avg: 134.24 / Max: 134.33 Min: 90.19 / Avg: 90.31 / Max: 90.51 Min: 48.59 / Avg: 48.61 / Max: 48.62 Min: 218.04 / Avg: 218.5 / Max: 218.94 Min: 58.86 / Avg: 58.9 / Max: 58.95 Min: 152.45 / Avg: 152.48 / Max: 152.51 Min: 108.18 / Avg: 108.28 / Max: 108.44 Min: 162.12 / Avg: 162.2 / Max: 162.29 Min: 114.38 / Avg: 114.47 / Max: 114.53 Min: 182.76 / Avg: 182.84 / Max: 182.93 Min: 83.02 / Avg: 83.37 / Max: 83.54 Min: 47.7 / Avg: 47.79 / Max: 47.88 Min: 50.41 / Avg: 50.44 / Max: 50.48 Min: 68.53 / Avg: 68.59 / Max: 68.63 Min: 167.81 / Avg: 167.97 / Max: 168.11
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.32, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.32, N = 3 SE +/- 0.24, N = 3 SE +/- 0.46, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.28, N = 3 57.37 56.00 79.52 75.49 60.07 52.55 34.97 20.58 59.03 23.50 53.27 38.88 53.42 46.47 58.06 34.09 20.36 20.75 28.88 55.73 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 15 30 45 60 75 Min: 56.98 / Avg: 57.37 / Max: 57.71 Min: 55.76 / Avg: 56 / Max: 56.32 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: 52.41 / Avg: 52.55 / Max: 52.81 Min: 34.78 / Avg: 34.97 / Max: 35.1 Min: 20.51 / Avg: 20.58 / Max: 20.64 Min: 58.58 / Avg: 59.03 / Max: 59.65 Min: 23.49 / Avg: 23.5 / Max: 23.53 Min: 53.02 / Avg: 53.27 / Max: 53.46 Min: 38.63 / Avg: 38.88 / Max: 39.04 Min: 52.81 / Avg: 53.42 / Max: 53.91 Min: 46.14 / Avg: 46.47 / Max: 46.94 Min: 57.42 / Avg: 58.06 / Max: 58.94 Min: 33.99 / Avg: 34.09 / Max: 34.19 Min: 20.33 / Avg: 20.36 / Max: 20.38 Min: 20.72 / Avg: 20.75 / Max: 20.78 Min: 28.86 / Avg: 28.88 / Max: 28.9 Min: 55.4 / Avg: 55.73 / Max: 56.29 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.025, N = 3 SE +/- 0.018, N = 3 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.027, N = 3 SE +/- 0.022, N = 3 SE +/- 0.027, N = 3 SE +/- 0.036, N = 3 SE +/- 0.042, N = 3 SE +/- 0.022, N = 3 SE +/- 0.016, N = 3 SE +/- 0.047, N = 3 SE +/- 0.012, N = 3 SE +/- 0.028, N = 3 SE +/- 0.036, N = 3 SE +/- 0.027, N = 3 SE +/- 0.020, N = 3 SE +/- 0.023, N = 3 SE +/- 0.017, N = 3 9.480 10.407 10.582 10.508 10.512 10.352 10.508 10.909 10.506 9.016 10.352 8.957 10.607 11.105 10.280 10.855 10.904 10.193 11.013 10.430
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 9.44 / Avg: 9.48 / Max: 9.53 Min: 10.38 / Avg: 10.41 / Max: 10.44 Min: 10.54 / Avg: 10.58 / Max: 10.62 Min: 10.49 / Avg: 10.51 / Max: 10.53 Min: 10.5 / Avg: 10.51 / Max: 10.53 Min: 10.3 / Avg: 10.35 / Max: 10.38 Min: 10.47 / Avg: 10.51 / Max: 10.55 Min: 10.86 / Avg: 10.91 / Max: 10.95 Min: 10.44 / Avg: 10.51 / Max: 10.57 Min: 8.97 / Avg: 9.02 / Max: 9.1 Min: 10.31 / Avg: 10.35 / Max: 10.38 Min: 8.93 / Avg: 8.96 / Max: 8.98 Min: 10.52 / Avg: 10.61 / Max: 10.67 Min: 11.08 / Avg: 11.11 / Max: 11.12 Min: 10.24 / Avg: 10.28 / Max: 10.33 Min: 10.78 / Avg: 10.86 / Max: 10.9 Min: 10.85 / Avg: 10.9 / Max: 10.93 Min: 10.15 / Avg: 10.19 / Max: 10.22 Min: 10.97 / Avg: 11.01 / Max: 11.05 Min: 10.4 / Avg: 10.43 / Max: 10.45
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.011, N = 3 SE +/- 0.036, N = 3 SE +/- 0.138, N = 3 SE +/- 0.051, N = 3 SE +/- 0.041, N = 3 SE +/- 0.039, N = 3 SE +/- 0.045, N = 3 SE +/- 0.113, N = 3 SE +/- 0.110, N = 3 SE +/- 0.036, N = 3 SE +/- 0.044, N = 3 SE +/- 0.095, N = 3 SE +/- 0.051, N = 3 SE +/- 0.065, N = 3 SE +/- 0.041, N = 3 SE +/- 0.057, N = 3 SE +/- 0.087, N = 3 SE +/- 0.001, N = 3 SE +/- 0.067, N = 3 SE +/- 0.038, N = 3 9.331 10.157 10.326 10.230 10.267 10.064 10.197 11.376 10.335 8.928 10.288 8.801 10.263 10.801 10.036 10.375 10.814 10.039 10.689 10.085 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 9.32 / Avg: 9.33 / Max: 9.35 Min: 10.09 / Avg: 10.16 / Max: 10.22 Min: 10.17 / Avg: 10.33 / Max: 10.6 Min: 10.16 / Avg: 10.23 / Max: 10.33 Min: 10.2 / Avg: 10.27 / Max: 10.34 Min: 9.99 / Avg: 10.06 / Max: 10.12 Min: 10.11 / Avg: 10.2 / Max: 10.27 Min: 11.16 / Avg: 11.38 / Max: 11.53 Min: 10.2 / Avg: 10.33 / Max: 10.55 Min: 8.86 / Avg: 8.93 / Max: 8.98 Min: 10.23 / Avg: 10.29 / Max: 10.37 Min: 8.61 / Avg: 8.8 / Max: 8.91 Min: 10.21 / Avg: 10.26 / Max: 10.37 Min: 10.73 / Avg: 10.8 / Max: 10.93 Min: 9.96 / Avg: 10.04 / Max: 10.09 Min: 10.3 / Avg: 10.37 / Max: 10.49 Min: 10.67 / Avg: 10.81 / Max: 10.97 Min: 10.04 / Avg: 10.04 / Max: 10.04 Min: 10.56 / Avg: 10.69 / Max: 10.78 Min: 10.02 / Avg: 10.09 / Max: 10.15 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.015, N = 3 SE +/- 0.032, N = 3 SE +/- 0.034, N = 3 SE +/- 0.032, N = 3 SE +/- 0.022, N = 3 SE +/- 0.027, N = 3 SE +/- 0.045, N = 3 SE +/- 0.021, N = 3 SE +/- 0.029, N = 3 SE +/- 0.013, N = 3 SE +/- 0.031, N = 3 SE +/- 0.034, N = 3 SE +/- 0.031, N = 3 SE +/- 0.021, N = 3 SE +/- 0.023, N = 3 SE +/- 0.021, N = 3 SE +/- 0.016, N = 3 SE +/- 0.012, N = 3 SE +/- 0.038, N = 3 SE +/- 0.019, N = 3 9.252 10.233 10.310 10.142 10.505 10.052 10.160 10.404 10.572 8.587 10.365 8.706 10.633 10.820 9.983 10.384 10.335 9.775 10.385 10.277
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 9.23 / Avg: 9.25 / Max: 9.28 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 10.26 / Avg: 10.31 / Max: 10.38 Min: 10.09 / Avg: 10.14 / Max: 10.2 Min: 10.46 / Avg: 10.5 / Max: 10.53 Min: 10 / Avg: 10.05 / Max: 10.1 Min: 10.1 / Avg: 10.16 / Max: 10.25 Min: 10.36 / Avg: 10.4 / Max: 10.43 Min: 10.53 / Avg: 10.57 / Max: 10.63 Min: 8.56 / Avg: 8.59 / Max: 8.6 Min: 10.31 / Avg: 10.37 / Max: 10.41 Min: 8.64 / Avg: 8.71 / Max: 8.74 Min: 10.59 / Avg: 10.63 / Max: 10.69 Min: 10.78 / Avg: 10.82 / Max: 10.85 Min: 9.94 / Avg: 9.98 / Max: 10.02 Min: 10.35 / Avg: 10.38 / Max: 10.42 Min: 10.32 / Avg: 10.34 / Max: 10.37 Min: 9.76 / Avg: 9.78 / Max: 9.8 Min: 10.31 / Avg: 10.38 / Max: 10.44 Min: 10.25 / Avg: 10.28 / Max: 10.31
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.07025, N = 3 SE +/- 0.05097, N = 3 SE +/- 0.02153, N = 3 SE +/- 0.02803, N = 3 SE +/- 0.00856, N = 3 SE +/- 0.19470, N = 15 SE +/- 0.04114, N = 3 SE +/- 0.02292, N = 3 SE +/- 0.00797, N = 3 SE +/- 0.07675, N = 3 SE +/- 0.02491, N = 3 SE +/- 0.06206, N = 3 SE +/- 0.01224, N = 3 SE +/- 0.08801, N = 3 SE +/- 0.02211, N = 3 SE +/- 0.07563, N = 3 SE +/- 0.04289, N = 3 SE +/- 0.00870, N = 3 SE +/- 0.15066, N = 12 SE +/- 0.01621, N = 3 5.78518 4.47693 2.46068 2.55026 3.30193 5.44209 8.32494 14.66750 3.30455 14.13350 4.74513 7.84641 4.76807 6.22912 4.46722 7.69441 14.90570 15.31620 9.86575 4.50760 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 5.65 / Avg: 5.79 / Max: 5.87 Min: 4.38 / Avg: 4.48 / Max: 4.56 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: 4.39 / Avg: 5.44 / Max: 6.04 Min: 8.25 / Avg: 8.32 / Max: 8.4 Min: 14.62 / Avg: 14.67 / Max: 14.69 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 13.98 / Avg: 14.13 / Max: 14.24 Min: 4.71 / Avg: 4.75 / Max: 4.79 Min: 7.74 / Avg: 7.85 / Max: 7.96 Min: 4.75 / Avg: 4.77 / Max: 4.79 Min: 6.06 / Avg: 6.23 / Max: 6.36 Min: 4.43 / Avg: 4.47 / Max: 4.51 Min: 7.58 / Avg: 7.69 / Max: 7.84 Min: 14.86 / Avg: 14.91 / Max: 14.99 Min: 15.3 / Avg: 15.32 / Max: 15.33 Min: 8.21 / Avg: 9.87 / Max: 10.09 Min: 4.49 / Avg: 4.51 / Max: 4.54 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.34, N = 3 SE +/- 0.41, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.27, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.33, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 62.57 109.17 107.99 98.47 65.37 62.00 43.20 96.32 52.60 61.50 67.24 61.32 60.11 66.17 61.84 43.46 44.95 46.93 62.73 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20 40 60 80 100 Min: 62.36 / Avg: 62.57 / Max: 62.98 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: 65.28 / Avg: 65.37 / Max: 65.44 Min: 61.62 / Avg: 62 / Max: 62.36 Min: 43.05 / Avg: 43.2 / Max: 43.38 Min: 96.05 / Avg: 96.32 / Max: 96.73 Min: 52.46 / Avg: 52.6 / Max: 52.77 Min: 61.15 / Avg: 61.5 / Max: 61.83 Min: 66.7 / Avg: 67.24 / Max: 67.55 Min: 60.96 / Avg: 61.32 / Max: 61.6 Min: 59.79 / Avg: 60.11 / Max: 60.31 Min: 65.63 / Avg: 66.17 / Max: 66.76 Min: 61.65 / Avg: 61.84 / Max: 62.19 Min: 43.44 / Avg: 43.46 / Max: 43.48 Min: 44.86 / Avg: 44.95 / Max: 45.09 Min: 46.83 / Avg: 46.93 / Max: 46.99 Min: 62.6 / Avg: 62.73 / Max: 62.91 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.024, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.042, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.013, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.017, N = 3 SE +/- 0.003, N = 3 8.856 9.400 9.556 9.446 9.550 9.404 9.528 9.836 9.543 8.124 9.436 8.087 9.564 10.024 9.266 9.832 9.907 9.260 9.887 9.396 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 8.84 / Avg: 8.86 / Max: 8.87 Min: 9.39 / Avg: 9.4 / Max: 9.41 Min: 9.53 / Avg: 9.56 / Max: 9.6 Min: 9.43 / Avg: 9.45 / Max: 9.46 Min: 9.54 / Avg: 9.55 / Max: 9.57 Min: 9.4 / Avg: 9.4 / Max: 9.41 Min: 9.52 / Avg: 9.53 / Max: 9.53 Min: 9.83 / Avg: 9.84 / Max: 9.84 Min: 9.54 / Avg: 9.54 / Max: 9.55 Min: 8.12 / Avg: 8.12 / Max: 8.13 Min: 9.39 / Avg: 9.44 / Max: 9.52 Min: 8.08 / Avg: 8.09 / Max: 8.09 Min: 9.56 / Avg: 9.56 / Max: 9.57 Min: 10.02 / Avg: 10.02 / Max: 10.03 Min: 9.25 / Avg: 9.27 / Max: 9.29 Min: 9.83 / Avg: 9.83 / Max: 9.84 Min: 9.9 / Avg: 9.91 / Max: 9.92 Min: 9.24 / Avg: 9.26 / Max: 9.27 Min: 9.86 / Avg: 9.89 / Max: 9.92 Min: 9.39 / Avg: 9.4 / Max: 9.4 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.012, N = 3 SE +/- 0.022, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.026, N = 3 SE +/- 0.037, N = 3 SE +/- 0.014, N = 3 SE +/- 0.004, N = 3 8.552 9.435 9.591 9.477 9.591 9.436 9.578 9.878 9.589 8.174 9.441 8.138 9.633 10.102 9.295 9.885 10.003 9.449 9.964 9.435 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 8.55 / Avg: 8.55 / Max: 8.56 Min: 9.43 / Avg: 9.43 / Max: 9.44 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.47 / Avg: 9.48 / Max: 9.48 Min: 9.58 / Avg: 9.59 / Max: 9.6 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.56 / Avg: 9.58 / Max: 9.59 Min: 9.88 / Avg: 9.88 / Max: 9.88 Min: 9.57 / Avg: 9.59 / Max: 9.6 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 8.13 / Avg: 8.14 / Max: 8.15 Min: 9.61 / Avg: 9.63 / Max: 9.65 Min: 10.06 / Avg: 10.1 / Max: 10.13 Min: 9.29 / Avg: 9.3 / Max: 9.3 Min: 9.88 / Avg: 9.88 / Max: 9.9 Min: 9.97 / Avg: 10 / Max: 10.06 Min: 9.4 / Avg: 9.45 / Max: 9.52 Min: 9.95 / Avg: 9.96 / Max: 9.99 Min: 9.43 / Avg: 9.44 / Max: 9.44 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1200 2400 3600 4800 6000 SE +/- 19.39, N = 4 SE +/- 23.46, N = 4 SE +/- 8.68, N = 4 SE +/- 5.61, N = 4 SE +/- 26.63, N = 4 SE +/- 8.63, N = 4 SE +/- 20.47, N = 4 SE +/- 15.06, N = 4 SE +/- 2.06, N = 4 SE +/- 30.31, N = 4 SE +/- 10.06, N = 4 SE +/- 18.72, N = 4 SE +/- 16.79, N = 4 SE +/- 13.86, N = 4 SE +/- 6.71, N = 4 SE +/- 13.83, N = 4 SE +/- 69.56, N = 5 SE +/- 26.34, N = 4 SE +/- 19.97, N = 4 SE +/- 18.30, N = 4 4671 5134 5243 5188 5239 5160 5268 5554 5207 4653 5168 4462 5271 5530 5077 5358 5795 5183 5563 5150
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1000 2000 3000 4000 5000 Min: 4627 / Avg: 4671 / Max: 4711 Min: 5065 / Avg: 5133.5 / Max: 5168 Min: 5228 / Avg: 5243.25 / Max: 5267 Min: 5179 / Avg: 5187.5 / Max: 5204 Min: 5192 / Avg: 5238.75 / Max: 5315 Min: 5139 / Avg: 5159.75 / Max: 5178 Min: 5226 / Avg: 5268 / Max: 5324 Min: 5524 / Avg: 5554.25 / Max: 5594 Min: 5202 / Avg: 5207.25 / Max: 5211 Min: 4584 / Avg: 4653.25 / Max: 4730 Min: 5149 / Avg: 5167.75 / Max: 5191 Min: 4430 / Avg: 4461.75 / Max: 4507 Min: 5250 / Avg: 5271.25 / Max: 5321 Min: 5509 / Avg: 5530 / Max: 5570 Min: 5063 / Avg: 5076.75 / Max: 5093 Min: 5328 / Avg: 5358 / Max: 5382 Min: 5582 / Avg: 5794.8 / Max: 5963 Min: 5121 / Avg: 5182.5 / Max: 5243 Min: 5507 / Avg: 5563.25 / Max: 5595 Min: 5106 / Avg: 5149.75 / Max: 5190
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 SE +/- 1.61, N = 3 SE +/- 10.13, N = 12 SE +/- 9.82, N = 12 SE +/- 11.01, N = 12 SE +/- 10.42, N = 12 SE +/- 8.97, N = 12 SE +/- 3.48, N = 12 SE +/- 1.30, N = 3 SE +/- 10.68, N = 12 SE +/- 1.50, N = 3 SE +/- 9.21, N = 12 SE +/- 2.88, N = 13 SE +/- 9.06, N = 12 SE +/- 6.80, N = 12 SE +/- 11.53, N = 12 SE +/- 3.90, N = 12 SE +/- 1.06, N = 3 SE +/- 1.25, N = 3 SE +/- 2.23, N = 6 SE +/- 9.97, N = 12 358.44 346.64 344.22 335.81 348.39 326.87 238.57 109.04 351.36 113.78 334.92 238.98 319.28 297.54 361.48 243.53 106.11 97.73 188.74 345.90 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 Min: 355.24 / Avg: 358.44 / Max: 360.36 Min: 235.57 / Avg: 346.64 / Max: 362.98 Min: 236.59 / Avg: 344.22 / Max: 358.64 Min: 214.9 / Avg: 335.81 / Max: 350.06 Min: 234.1 / Avg: 348.39 / Max: 361.88 Min: 228.66 / Avg: 326.87 / Max: 340.72 Min: 200.6 / Avg: 238.57 / Max: 244.7 Min: 106.48 / Avg: 109.04 / Max: 110.74 Min: 234.28 / Avg: 351.36 / Max: 365.85 Min: 110.82 / Avg: 113.78 / Max: 115.67 Min: 234.28 / Avg: 334.92 / Max: 350.06 Min: 205.2 / Avg: 238.98 / Max: 245 Min: 220.02 / Avg: 319.28 / Max: 333.7 Min: 223.13 / Avg: 297.54 / Max: 309.12 Min: 235.48 / Avg: 361.48 / Max: 379.27 Min: 200.8 / Avg: 243.53 / Max: 248.55 Min: 104 / Avg: 106.11 / Max: 107.2 Min: 95.24 / Avg: 97.73 / Max: 99.01 Min: 177.67 / Avg: 188.74 / Max: 191.63 Min: 236.5 / Avg: 345.9 / Max: 360.58 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 7F72 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.025, N = 3 SE +/- 0.060, N = 3 SE +/- 0.012, N = 3 SE +/- 0.034, N = 3 SE +/- 0.037, N = 3 SE +/- 0.049, N = 3 SE +/- 0.029, N = 3 SE +/- 0.014, N = 3 SE +/- 0.101, N = 3 SE +/- 0.080, N = 3 SE +/- 0.091, N = 3 SE +/- 0.041, N = 3 SE +/- 0.032, N = 3 SE +/- 0.060, N = 3 SE +/- 0.086, N = 3 SE +/- 0.124, N = 3 7.331 9.504 9.426 9.051 9.291 7.603 9.571 7.182 10.026 9.692 9.295 9.250 9.965 9.613 9.842 9.472 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 7F72 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 7.3 / Avg: 7.33 / Max: 7.38 Min: 9.39 / Avg: 9.5 / Max: 9.57 Min: 9.41 / Avg: 9.43 / Max: 9.45 Min: 9 / Avg: 9.05 / Max: 9.12 Min: 9.23 / Avg: 9.29 / Max: 9.36 Min: 7.52 / Avg: 7.6 / Max: 7.69 Min: 9.52 / Avg: 9.57 / Max: 9.62 Min: 7.16 / Avg: 7.18 / Max: 7.21 Min: 9.83 / Avg: 10.03 / Max: 10.16 Min: 9.54 / Avg: 9.69 / Max: 9.8 Min: 9.13 / Avg: 9.29 / Max: 9.45 Min: 9.2 / Avg: 9.25 / Max: 9.33 Min: 9.9 / Avg: 9.97 / Max: 10 Min: 9.5 / Avg: 9.61 / Max: 9.7 Min: 9.72 / Avg: 9.84 / Max: 10.01 Min: 9.33 / Avg: 9.47 / Max: 9.72 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.015, N = 4 SE +/- 0.013, N = 4 SE +/- 0.027, N = 4 SE +/- 0.020, N = 4 SE +/- 0.022, N = 4 SE +/- 0.014, N = 4 SE +/- 0.047, N = 4 SE +/- 0.014, N = 4 SE +/- 0.006, N = 4 SE +/- 0.023, N = 4 SE +/- 0.015, N = 4 SE +/- 0.018, N = 4 SE +/- 0.027, N = 4 SE +/- 0.030, N = 4 SE +/- 0.024, N = 4 SE +/- 0.014, N = 4 SE +/- 0.024, N = 4 SE +/- 0.023, N = 4 SE +/- 0.030, N = 4 SE +/- 0.036, N = 4 6.174 6.593 6.660 6.563 6.766 6.629 6.914 7.196 6.635 6.092 6.551 6.180 6.920 6.988 6.419 6.792 6.991 7.046 6.827 6.540
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 6.13 / Avg: 6.17 / Max: 6.19 Min: 6.57 / Avg: 6.59 / Max: 6.63 Min: 6.59 / Avg: 6.66 / Max: 6.71 Min: 6.52 / Avg: 6.56 / Max: 6.62 Min: 6.73 / Avg: 6.77 / Max: 6.82 Min: 6.59 / Avg: 6.63 / Max: 6.65 Min: 6.83 / Avg: 6.91 / Max: 7.05 Min: 7.16 / Avg: 7.2 / Max: 7.22 Min: 6.63 / Avg: 6.64 / Max: 6.65 Min: 6.04 / Avg: 6.09 / Max: 6.15 Min: 6.53 / Avg: 6.55 / Max: 6.59 Min: 6.14 / Avg: 6.18 / Max: 6.23 Min: 6.87 / Avg: 6.92 / Max: 6.98 Min: 6.94 / Avg: 6.99 / Max: 7.07 Min: 6.35 / Avg: 6.42 / Max: 6.46 Min: 6.75 / Avg: 6.79 / Max: 6.82 Min: 6.93 / Avg: 6.99 / Max: 7.03 Min: 7 / Avg: 7.05 / Max: 7.1 Min: 6.77 / Avg: 6.83 / Max: 6.9 Min: 6.46 / Avg: 6.54 / Max: 6.63
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.017, N = 3 SE +/- 0.010, N = 3 SE +/- 0.031, N = 3 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.007, N = 3 SE +/- 0.043, N = 3 SE +/- 0.023, N = 3 SE +/- 0.017, N = 3 SE +/- 0.029, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.020, N = 3 SE +/- 0.019, N = 3 SE +/- 0.021, N = 3 SE +/- 0.034, N = 3 SE +/- 0.006, N = 3 SE +/- 0.034, N = 3 SE +/- 0.009, N = 3 7.639 8.195 8.206 8.151 8.232 8.282 8.894 9.746 8.286 8.156 8.251 7.452 8.343 8.815 8.053 8.934 9.854 9.270 9.236 8.174 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 7.61 / Avg: 7.64 / Max: 7.66 Min: 8.18 / Avg: 8.2 / Max: 8.21 Min: 8.15 / Avg: 8.21 / Max: 8.26 Min: 8.11 / Avg: 8.15 / Max: 8.18 Min: 8.21 / Avg: 8.23 / Max: 8.25 Min: 8.26 / Avg: 8.28 / Max: 8.33 Min: 8.89 / Avg: 8.89 / Max: 8.91 Min: 9.7 / Avg: 9.75 / Max: 9.83 Min: 8.24 / Avg: 8.29 / Max: 8.31 Min: 8.12 / Avg: 8.16 / Max: 8.18 Min: 8.22 / Avg: 8.25 / Max: 8.31 Min: 7.44 / Avg: 7.45 / Max: 7.48 Min: 8.33 / Avg: 8.34 / Max: 8.36 Min: 8.78 / Avg: 8.81 / Max: 8.84 Min: 8.03 / Avg: 8.05 / Max: 8.09 Min: 8.9 / Avg: 8.93 / Max: 8.98 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 9.26 / Avg: 9.27 / Max: 9.28 Min: 9.19 / Avg: 9.24 / Max: 9.3 Min: 8.16 / Avg: 8.17 / Max: 8.19 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 SE +/- 0.090, N = 3 SE +/- 0.211, N = 15 SE +/- 0.063, N = 3 SE +/- 0.232, N = 3 SE +/- 0.228, N = 15 SE +/- 0.177, N = 15 SE +/- 0.199, N = 13 SE +/- 0.005, N = 3 SE +/- 0.230, N = 15 SE +/- 0.185, N = 15 SE +/- 0.177, N = 3 SE +/- 0.137, N = 6 SE +/- 0.203, N = 5 SE +/- 0.105, N = 3 SE +/- 0.215, N = 15 SE +/- 0.130, N = 15 SE +/- 0.114, N = 15 SE +/- 0.007, N = 3 SE +/- 0.205, N = 12 SE +/- 0.242, N = 15 15.031 16.068 20.733 17.483 18.868 13.636 9.909 5.179 18.500 5.351 15.005 11.802 15.923 9.911 16.291 9.199 4.120 5.629 5.981 15.390 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 5 10 15 20 25 Min: 14.86 / Avg: 15.03 / Max: 15.17 Min: 13.91 / Avg: 16.07 / Max: 17.1 Min: 20.64 / Avg: 20.73 / Max: 20.85 Min: 17.07 / Avg: 17.48 / Max: 17.88 Min: 17.98 / Avg: 18.87 / Max: 20.52 Min: 11.81 / Avg: 13.64 / Max: 14.45 Min: 7.78 / Avg: 9.91 / Max: 10.32 Min: 5.17 / Avg: 5.18 / Max: 5.19 Min: 17.42 / Avg: 18.5 / Max: 20.22 Min: 4.56 / Avg: 5.35 / Max: 6.38 Min: 14.83 / Avg: 15.01 / Max: 15.36 Min: 11.32 / Avg: 11.8 / Max: 12.16 Min: 15.54 / Avg: 15.92 / Max: 16.65 Min: 9.7 / Avg: 9.91 / Max: 10.04 Min: 14.81 / Avg: 16.29 / Max: 17.5 Min: 8.19 / Avg: 9.2 / Max: 9.67 Min: 3.76 / Avg: 4.12 / Max: 5.14 Min: 5.62 / Avg: 5.63 / Max: 5.64 Min: 5.4 / Avg: 5.98 / Max: 7.44 Min: 13.7 / Avg: 15.39 / Max: 16.83 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.01454, N = 3 SE +/- 0.00219, N = 3 SE +/- 0.02396, N = 15 SE +/- 0.03138, N = 3 SE +/- 0.00537, N = 3 SE +/- 0.04479, N = 3 SE +/- 0.02456, N = 3 SE +/- 0.04339, N = 3 SE +/- 0.03050, N = 3 SE +/- 0.04864, N = 8 SE +/- 0.01735, N = 3 SE +/- 0.01584, N = 3 SE +/- 0.00908, N = 3 SE +/- 0.03746, N = 3 SE +/- 0.00481, N = 3 SE +/- 0.04343, N = 3 SE +/- 0.04427, N = 3 SE +/- 0.00819, N = 3 SE +/- 0.03491, N = 3 SE +/- 0.03266, N = 3 2.04409 2.82606 2.26438 2.71121 1.51546 2.96037 2.96405 6.55394 2.14490 4.60199 3.16025 2.16598 1.95077 3.30438 3.22663 6.11090 6.63195 4.93430 6.24150 2.86349 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 2.02 / Avg: 2.04 / Max: 2.06 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.1 / Avg: 2.26 / Max: 2.37 Min: 2.65 / Avg: 2.71 / Max: 2.75 Min: 1.51 / Avg: 1.52 / Max: 1.53 Min: 2.89 / Avg: 2.96 / Max: 3.04 Min: 2.94 / Avg: 2.96 / Max: 3.01 Min: 6.47 / Avg: 6.55 / Max: 6.61 Min: 2.09 / Avg: 2.14 / Max: 2.19 Min: 4.49 / Avg: 4.6 / Max: 4.92 Min: 3.13 / Avg: 3.16 / Max: 3.18 Min: 2.14 / Avg: 2.17 / Max: 2.2 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 3.26 / Avg: 3.3 / Max: 3.38 Min: 3.22 / Avg: 3.23 / Max: 3.23 Min: 6.02 / Avg: 6.11 / Max: 6.16 Min: 6.57 / Avg: 6.63 / Max: 6.72 Min: 4.92 / Avg: 4.93 / Max: 4.95 Min: 6.17 / Avg: 6.24 / Max: 6.28 Min: 2.8 / Avg: 2.86 / Max: 2.91 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.66 6.99 6.62 6.58 6.75 7.25 8.07 5.51 6.76 8.84 7.13 6.85 7.14 7.89 6.81 8.40 5.62 5.29 9.16 6.98 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 6.63 / Avg: 6.66 / Max: 6.67 Min: 6.97 / Avg: 6.99 / Max: 7 Min: 6.6 / Avg: 6.62 / Max: 6.66 Min: 6.57 / Avg: 6.58 / Max: 6.6 Min: 6.73 / Avg: 6.75 / Max: 6.77 Min: 7.24 / Avg: 7.25 / Max: 7.26 Min: 8.05 / Avg: 8.07 / Max: 8.09 Min: 5.51 / Avg: 5.51 / Max: 5.52 Min: 6.74 / Avg: 6.76 / Max: 6.78 Min: 8.82 / Avg: 8.84 / Max: 8.85 Min: 7.12 / Avg: 7.13 / Max: 7.15 Min: 6.84 / Avg: 6.85 / Max: 6.86 Min: 7.13 / Avg: 7.14 / Max: 7.15 Min: 7.87 / Avg: 7.89 / Max: 7.9 Min: 6.8 / Avg: 6.81 / Max: 6.81 Min: 8.38 / Avg: 8.4 / Max: 8.43 Min: 5.61 / Avg: 5.62 / Max: 5.62 Min: 5.29 / Avg: 5.29 / Max: 5.3 Min: 9.14 / Avg: 9.16 / Max: 9.18 Min: 6.97 / Avg: 6.98 / Max: 7 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, 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 +/- 0.002, 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 +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 5.069 4.501 2.725 2.746 3.253 5.596 8.323 17.146 3.286 14.278 4.882 7.046 4.640 6.409 4.190 8.645 17.441 16.427 11.566 4.501 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 5.07 / Avg: 5.07 / Max: 5.07 Min: 4.5 / Avg: 4.5 / Max: 4.51 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: 5.59 / Avg: 5.6 / Max: 5.6 Min: 8.32 / Avg: 8.32 / Max: 8.32 Min: 17.15 / Avg: 17.15 / Max: 17.15 Min: 3.28 / Avg: 3.29 / Max: 3.29 Min: 14.27 / Avg: 14.28 / Max: 14.29 Min: 4.88 / Avg: 4.88 / Max: 4.88 Min: 7.05 / Avg: 7.05 / Max: 7.05 Min: 4.64 / Avg: 4.64 / Max: 4.64 Min: 6.41 / Avg: 6.41 / Max: 6.41 Min: 4.19 / Avg: 4.19 / Max: 4.2 Min: 8.64 / Avg: 8.65 / Max: 8.65 Min: 17.43 / Avg: 17.44 / Max: 17.45 Min: 16.42 / Avg: 16.43 / Max: 16.44 Min: 11.56 / Avg: 11.57 / Max: 11.57 Min: 4.5 / Avg: 4.5 / Max: 4.51 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 SE +/- 0.03557, N = 3 SE +/- 0.00885, N = 3 SE +/- 0.00298, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00753, N = 3 SE +/- 0.10143, N = 4 SE +/- 0.02746, N = 3 SE +/- 0.00254, N = 3 SE +/- 0.07384, N = 3 SE +/- 0.01115, N = 3 SE +/- 0.06725, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00709, N = 3 SE +/- 0.00353, N = 3 SE +/- 0.00820, N = 3 SE +/- 0.03075, N = 3 SE +/- 0.12714, N = 3 SE +/- 0.03084, N = 3 SE +/- 0.00234, N = 3 4.88257 4.65515 4.36521 4.50294 4.39351 5.22125 7.66718 14.55650 4.37212 13.78970 4.94904 7.05423 4.79450 5.77336 4.47072 7.34207 14.72650 15.01350 9.46552 4.64995 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 4 8 12 16 20 Min: 4.85 / Avg: 4.88 / Max: 4.95 Min: 4.65 / Avg: 4.66 / Max: 4.67 Min: 4.36 / Avg: 4.37 / Max: 4.37 Min: 4.49 / Avg: 4.5 / Max: 4.51 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 5.21 / Avg: 5.22 / Max: 5.24 Min: 7.47 / Avg: 7.67 / Max: 7.94 Min: 14.51 / Avg: 14.56 / Max: 14.6 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 13.65 / Avg: 13.79 / Max: 13.89 Min: 4.93 / Avg: 4.95 / Max: 4.97 Min: 6.95 / Avg: 7.05 / Max: 7.18 Min: 4.78 / Avg: 4.79 / Max: 4.82 Min: 5.76 / Avg: 5.77 / Max: 5.79 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 7.33 / Avg: 7.34 / Max: 7.35 Min: 14.7 / Avg: 14.73 / Max: 14.79 Min: 14.77 / Avg: 15.01 / Max: 15.2 Min: 9.41 / Avg: 9.47 / Max: 9.51 Min: 4.65 / Avg: 4.65 / Max: 4.65 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 0.13, N = 3 SE +/- 0.47, N = 3 SE +/- 0.30, N = 3 SE +/- 0.98, N = 3 SE +/- 1.41, N = 3 SE +/- 0.91, N = 3 SE +/- 0.23, N = 3 SE +/- 0.19, N = 3 SE +/- 0.93, N = 3 SE +/- 0.03, N = 3 SE +/- 0.69, N = 3 SE +/- 0.17, N = 3 SE +/- 0.98, N = 3 SE +/- 0.49, N = 3 SE +/- 0.63, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 1.24, N = 3 122.40 131.25 166.89 161.96 159.13 113.54 80.26 42.34 161.14 47.91 122.18 86.52 123.86 98.40 141.01 77.11 41.74 41.90 60.67 132.93 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 122.15 / Avg: 122.4 / Max: 122.57 Min: 130.35 / Avg: 131.25 / Max: 131.96 Min: 166.3 / Avg: 166.89 / Max: 167.32 Min: 160.26 / Avg: 161.96 / Max: 163.67 Min: 157.52 / Avg: 159.13 / Max: 161.94 Min: 111.79 / Avg: 113.54 / Max: 114.83 Min: 80.02 / Avg: 80.26 / Max: 80.71 Min: 41.96 / Avg: 42.34 / Max: 42.54 Min: 159.28 / Avg: 161.14 / Max: 162.21 Min: 47.87 / Avg: 47.91 / Max: 47.98 Min: 120.87 / Avg: 122.18 / Max: 123.2 Min: 86.33 / Avg: 86.52 / Max: 86.86 Min: 121.9 / Avg: 123.86 / Max: 124.95 Min: 97.42 / Avg: 98.4 / Max: 98.98 Min: 139.76 / Avg: 141.01 / Max: 141.74 Min: 76.7 / Avg: 77.11 / Max: 77.39 Min: 41.42 / Avg: 41.74 / Max: 41.96 Min: 41.84 / Avg: 41.9 / Max: 41.97 Min: 60.39 / Avg: 60.67 / Max: 60.84 Min: 130.61 / Avg: 132.93 / Max: 134.86 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.022, N = 3 SE +/- 0.061, N = 3 SE +/- 0.013, N = 3 SE +/- 0.070, N = 3 SE +/- 0.028, N = 3 SE +/- 0.026, N = 3 SE +/- 0.020, N = 3 SE +/- 0.032, N = 3 SE +/- 0.020, N = 3 SE +/- 0.034, N = 3 SE +/- 0.024, N = 3 SE +/- 0.020, N = 3 SE +/- 0.027, N = 3 SE +/- 0.036, N = 3 SE +/- 0.009, N = 3 SE +/- 0.036, N = 3 SE +/- 0.020, N = 3 SE +/- 0.018, N = 3 SE +/- 0.017, N = 3 SE +/- 0.019, N = 3 6.957 7.394 7.348 7.349 7.623 7.444 7.557 7.542 7.654 6.582 7.561 6.733 7.947 8.006 7.225 7.432 7.665 7.510 7.543 7.400
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 6.92 / Avg: 6.96 / Max: 7 Min: 7.31 / Avg: 7.39 / Max: 7.51 Min: 7.34 / Avg: 7.35 / Max: 7.37 Min: 7.23 / Avg: 7.35 / Max: 7.47 Min: 7.58 / Avg: 7.62 / Max: 7.68 Min: 7.41 / Avg: 7.44 / Max: 7.49 Min: 7.52 / Avg: 7.56 / Max: 7.58 Min: 7.49 / Avg: 7.54 / Max: 7.6 Min: 7.63 / Avg: 7.65 / Max: 7.69 Min: 6.53 / Avg: 6.58 / Max: 6.65 Min: 7.53 / Avg: 7.56 / Max: 7.61 Min: 6.69 / Avg: 6.73 / Max: 6.75 Min: 7.91 / Avg: 7.95 / Max: 8 Min: 7.94 / Avg: 8.01 / Max: 8.05 Min: 7.21 / Avg: 7.23 / Max: 7.24 Min: 7.38 / Avg: 7.43 / Max: 7.5 Min: 7.63 / Avg: 7.67 / Max: 7.69 Min: 7.49 / Avg: 7.51 / Max: 7.55 Min: 7.53 / Avg: 7.54 / Max: 7.58 Min: 7.38 / Avg: 7.4 / Max: 7.44
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 11K 22K 33K 44K 55K SE +/- 63.71, N = 3 SE +/- 138.35, N = 3 SE +/- 338.23, N = 3 SE +/- 711.03, N = 3 SE +/- 544.47, N = 3 SE +/- 512.89, N = 3 SE +/- 510.01, N = 3 SE +/- 152.30, N = 3 SE +/- 114.65, N = 3 SE +/- 501.34, N = 3 SE +/- 579.41, N = 4 SE +/- 367.61, N = 3 SE +/- 228.23, N = 3 SE +/- 246.81, N = 3 SE +/- 123.40, N = 3 SE +/- 144.01, N = 3 SE +/- 234.79, N = 3 SE +/- 29.67, N = 3 SE +/- 271.47, N = 3 SE +/- 305.95, N = 3 48606 43784 43441 43161 42921 43788 43313 42474 43205 51110 43678 51156 43804 40791 44914 42168 41567 45232 42331 43470 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 9K 18K 27K 36K 45K Min: 48531 / Avg: 48606.33 / Max: 48733 Min: 43585 / Avg: 43784 / Max: 44050 Min: 43033 / Avg: 43440.67 / Max: 44112 Min: 42186 / Avg: 43161 / Max: 44545 Min: 42256 / Avg: 42920.67 / Max: 44000 Min: 42803 / Avg: 43787.67 / Max: 44529 Min: 42679 / Avg: 43313 / Max: 44322 Min: 42203 / Avg: 42473.67 / Max: 42730 Min: 42985 / Avg: 43205 / Max: 43371 Min: 50319 / Avg: 51109.67 / Max: 52039 Min: 42352 / Avg: 43677.5 / Max: 44983 Min: 50607 / Avg: 51156 / Max: 51854 Min: 43491 / Avg: 43803.67 / Max: 44248 Min: 40320 / Avg: 40791.33 / Max: 41154 Min: 44672 / Avg: 44914.33 / Max: 45076 Min: 41880 / Avg: 42167.67 / Max: 42324 Min: 41198 / Avg: 41567 / Max: 42003 Min: 45173 / Avg: 45232.33 / Max: 45262 Min: 41797 / Avg: 42331 / Max: 42683 Min: 42923 / Avg: 43470 / Max: 43981 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 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 +/- 4.54, N = 15 SE +/- 9.36, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 250.00 250.00 333.33 333.33 333.33 250.00 200.00 111.11 333.33 125.00 250.00 243.00 250.00 250.00 319.44 200.00 111.11 111.11 166.67 250.00
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 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: 111.11 / Avg: 111.11 / Max: 111.11 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 200 / Avg: 243.33 / Max: 250 Min: 250 / Avg: 319.44 / Max: 333.33 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 166.67 / Avg: 166.67 / Max: 166.67
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.00417, N = 3 SE +/- 0.02435, N = 3 SE +/- 0.03325, N = 5 SE +/- 0.03350, N = 3 SE +/- 0.00074, N = 3 SE +/- 0.01391, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.02707, N = 3 SE +/- 0.01728, N = 3 SE +/- 0.02111, N = 3 SE +/- 0.00977, N = 3 SE +/- 0.02811, N = 3 SE +/- 0.03168, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.05589, N = 3 SE +/- 0.04064, N = 3 SE +/- 0.01009, N = 3 SE +/- 0.02406, N = 3 SE +/- 0.00965, N = 3 4.32989 3.86201 2.76936 3.08453 2.61369 3.99262 4.10317 7.71084 3.66187 6.68499 3.91971 3.41464 3.00812 4.31821 3.92547 6.09158 8.11390 6.98966 6.60647 3.90825 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 4.32 / Avg: 4.33 / Max: 4.34 Min: 3.83 / Avg: 3.86 / Max: 3.91 Min: 2.69 / Avg: 2.77 / Max: 2.89 Min: 3.03 / Avg: 3.08 / Max: 3.15 Min: 2.61 / Avg: 2.61 / Max: 2.62 Min: 3.97 / Avg: 3.99 / Max: 4.02 Min: 4.02 / Avg: 4.1 / Max: 4.15 Min: 7.68 / Avg: 7.71 / Max: 7.76 Min: 3.63 / Avg: 3.66 / Max: 3.69 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 3.9 / Avg: 3.92 / Max: 3.94 Min: 3.36 / Avg: 3.41 / Max: 3.46 Min: 2.95 / Avg: 3.01 / Max: 3.06 Min: 4.27 / Avg: 4.32 / Max: 4.35 Min: 3.91 / Avg: 3.93 / Max: 3.94 Min: 6.03 / Avg: 6.09 / Max: 6.2 Min: 8.06 / Avg: 8.11 / Max: 8.19 Min: 6.97 / Avg: 6.99 / Max: 7.01 Min: 6.57 / Avg: 6.61 / Max: 6.65 Min: 3.9 / Avg: 3.91 / Max: 3.93 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K SE +/- 3.40, N = 3 SE +/- 2.98, N = 3 SE +/- 3.40, N = 3 SE +/- 42.92, N = 3 SE +/- 10.39, N = 3 SE +/- 16.43, N = 3 SE +/- 45.24, N = 3 SE +/- 12.66, N = 3 SE +/- 4.22, N = 3 SE +/- 8.20, N = 3 SE +/- 8.47, N = 3 SE +/- 14.12, N = 3 SE +/- 6.46, N = 3 SE +/- 10.11, N = 3 SE +/- 8.69, N = 3 SE +/- 17.03, N = 3 SE +/- 14.33, N = 3 SE +/- 16.82, N = 3 SE +/- 19.95, N = 3 SE +/- 5.42, N = 3 7482.1 6787.9 6679.4 6674.8 6680.9 6787.6 6648.8 6485.8 6686.3 7878.3 6773.0 7899.6 6689.9 6365.7 6880.4 6480.9 6408.3 6868.2 6434.6 6785.7 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1400 2800 4200 5600 7000 Min: 7476.9 / Avg: 7482.1 / Max: 7488.5 Min: 6782.5 / Avg: 6787.9 / Max: 6792.8 Min: 6672.8 / Avg: 6679.4 / Max: 6684.1 Min: 6625.4 / Avg: 6674.8 / Max: 6760.3 Min: 6660.1 / Avg: 6680.87 / Max: 6692 Min: 6754.8 / Avg: 6787.57 / Max: 6806 Min: 6558.4 / Avg: 6648.77 / Max: 6697.7 Min: 6460.7 / Avg: 6485.83 / Max: 6501.1 Min: 6678.5 / Avg: 6686.27 / Max: 6693 Min: 7861.9 / Avg: 7878.3 / Max: 7886.5 Min: 6757.4 / Avg: 6773.03 / Max: 6786.5 Min: 7873.7 / Avg: 7899.6 / Max: 7922.3 Min: 6677.1 / Avg: 6689.87 / Max: 6698 Min: 6350.8 / Avg: 6365.73 / Max: 6385 Min: 6871 / Avg: 6880.43 / Max: 6897.8 Min: 6450.1 / Avg: 6480.9 / Max: 6508.9 Min: 6384 / Avg: 6408.33 / Max: 6433.6 Min: 6847.8 / Avg: 6868.23 / Max: 6901.6 Min: 6412.7 / Avg: 6434.57 / Max: 6474.4 Min: 6778.9 / Avg: 6785.7 / Max: 6796.4 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.27, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 188.50 170.79 168.10 170.25 168.31 170.56 168.05 163.28 168.19 197.43 170.62 198.33 167.80 160.53 173.39 163.10 161.77 171.97 162.52 170.68 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 188.45 / Avg: 188.5 / Max: 188.55 Min: 170.66 / Avg: 170.79 / Max: 170.86 Min: 167.92 / Avg: 168.1 / Max: 168.25 Min: 170.14 / Avg: 170.25 / Max: 170.31 Min: 168.27 / Avg: 168.31 / Max: 168.36 Min: 170.01 / Avg: 170.56 / Max: 170.85 Min: 167.79 / Avg: 168.05 / Max: 168.26 Min: 163.24 / Avg: 163.28 / Max: 163.35 Min: 168.03 / Avg: 168.19 / Max: 168.29 Min: 197.12 / Avg: 197.43 / Max: 197.67 Min: 170.44 / Avg: 170.62 / Max: 170.93 Min: 198.25 / Avg: 198.33 / Max: 198.45 Min: 167.71 / Avg: 167.8 / Max: 167.95 Min: 160.29 / Avg: 160.53 / Max: 160.67 Min: 173.33 / Avg: 173.39 / Max: 173.45 Min: 162.9 / Avg: 163.1 / Max: 163.34 Min: 161.41 / Avg: 161.77 / Max: 162.17 Min: 171.84 / Avg: 171.97 / Max: 172.21 Min: 162.36 / Avg: 162.52 / Max: 162.8 Min: 170.38 / Avg: 170.68 / Max: 170.86 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 5.39 5.79 5.73 5.67 5.76 5.92 6.27 7.30 5.77 6.11 5.83 5.32 5.91 6.35 5.69 6.45 7.39 6.97 6.77 5.80 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.38 / Avg: 5.39 / Max: 5.41 Min: 5.78 / Avg: 5.79 / Max: 5.8 Min: 5.72 / Avg: 5.73 / Max: 5.73 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 5.89 / Avg: 5.92 / Max: 5.95 Min: 6.26 / Avg: 6.27 / Max: 6.27 Min: 7.29 / Avg: 7.3 / Max: 7.31 Min: 5.75 / Avg: 5.77 / Max: 5.79 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 5.3 / Avg: 5.32 / Max: 5.35 Min: 5.88 / Avg: 5.91 / Max: 5.93 Min: 6.32 / Avg: 6.35 / Max: 6.38 Min: 5.66 / Avg: 5.69 / Max: 5.71 Min: 6.43 / Avg: 6.45 / Max: 6.47 Min: 7.38 / Avg: 7.39 / Max: 7.41 Min: 6.97 / Avg: 6.97 / Max: 6.98 Min: 6.73 / Avg: 6.77 / Max: 6.81 Min: 5.78 / Avg: 5.8 / Max: 5.83 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 7F72 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.023, N = 3 SE +/- 0.016, N = 3 SE +/- 0.022, N = 3 SE +/- 0.036, N = 3 SE +/- 0.024, N = 3 SE +/- 0.008, N = 3 SE +/- 0.029, N = 3 SE +/- 0.010, N = 3 SE +/- 0.017, N = 3 SE +/- 0.008, N = 3 SE +/- 0.021, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 5.694 5.915 5.970 5.894 6.584 5.512 5.974 5.145 6.077 6.298 5.873 6.039 6.590 6.248 6.121 5.922 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7F72 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.68 / Avg: 5.69 / Max: 5.72 Min: 5.91 / Avg: 5.91 / Max: 5.92 Min: 5.95 / Avg: 5.97 / Max: 6.02 Min: 5.86 / Avg: 5.89 / Max: 5.91 Min: 6.56 / Avg: 6.58 / Max: 6.63 Min: 5.45 / Avg: 5.51 / Max: 5.57 Min: 5.94 / Avg: 5.97 / Max: 6.02 Min: 5.14 / Avg: 5.15 / Max: 5.16 Min: 6.03 / Avg: 6.08 / Max: 6.13 Min: 6.28 / Avg: 6.3 / Max: 6.32 Min: 5.84 / Avg: 5.87 / Max: 5.9 Min: 6.03 / Avg: 6.04 / Max: 6.06 Min: 6.56 / Avg: 6.59 / Max: 6.63 Min: 6.24 / Avg: 6.25 / Max: 6.26 Min: 6.09 / Avg: 6.12 / Max: 6.15 Min: 5.9 / Avg: 5.92 / Max: 5.94 1. (CXX) g++ options: -O3 -fPIC
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7F72 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.020, N = 3 SE +/- 0.017, N = 3 SE +/- 0.020, N = 3 SE +/- 0.008, N = 3 SE +/- 0.016, N = 3 SE +/- 0.011, N = 3 SE +/- 0.023, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 SE +/- 0.024, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.032, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.017, N = 3 5.562 5.820 5.826 5.715 6.233 5.231 5.846 5.031 5.940 6.169 5.722 5.840 6.258 5.924 5.905 5.803 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7F72 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 5.53 / Avg: 5.56 / Max: 5.6 Min: 5.8 / Avg: 5.82 / Max: 5.85 Min: 5.79 / Avg: 5.83 / Max: 5.85 Min: 5.7 / Avg: 5.72 / Max: 5.73 Min: 6.21 / Avg: 6.23 / Max: 6.26 Min: 5.21 / Avg: 5.23 / Max: 5.25 Min: 5.81 / Avg: 5.85 / Max: 5.89 Min: 5.03 / Avg: 5.03 / Max: 5.04 Min: 5.91 / Avg: 5.94 / Max: 5.97 Min: 6.13 / Avg: 6.17 / Max: 6.21 Min: 5.7 / Avg: 5.72 / Max: 5.75 Min: 5.83 / Avg: 5.84 / Max: 5.86 Min: 6.2 / Avg: 6.26 / Max: 6.31 Min: 5.91 / Avg: 5.92 / Max: 5.95 Min: 5.89 / Avg: 5.91 / Max: 5.93 Min: 5.78 / Avg: 5.8 / Max: 5.84 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.045, N = 3 SE +/- 0.019, N = 3 SE +/- 0.003, N = 3 SE +/- 0.054, N = 4 SE +/- 0.012, N = 3 SE +/- 0.020, N = 3 SE +/- 0.015, N = 3 SE +/- 0.005, N = 3 SE +/- 0.012, N = 3 SE +/- 0.034, N = 3 SE +/- 0.012, N = 3 SE +/- 0.013, N = 3 SE +/- 0.045, N = 3 SE +/- 0.014, N = 3 SE +/- 0.024, N = 3 SE +/- 0.018, N = 3 SE +/- 0.005, N = 3 SE +/- 0.074, N = 3 SE +/- 0.030, N = 3 SE +/- 0.013, N = 3 3.700 3.725 3.410 4.050 3.311 3.720 4.105 6.767 3.481 5.695 3.796 3.602 3.741 4.432 3.648 5.503 7.276 6.456 6.347 3.701
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 3.65 / Avg: 3.7 / Max: 3.79 Min: 3.69 / Avg: 3.73 / Max: 3.76 Min: 3.41 / Avg: 3.41 / Max: 3.41 Min: 3.91 / Avg: 4.05 / Max: 4.15 Min: 3.29 / Avg: 3.31 / Max: 3.33 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 4.09 / Avg: 4.11 / Max: 4.14 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 3.47 / Avg: 3.48 / Max: 3.51 Min: 5.66 / Avg: 5.69 / Max: 5.76 Min: 3.77 / Avg: 3.8 / Max: 3.81 Min: 3.59 / Avg: 3.6 / Max: 3.63 Min: 3.69 / Avg: 3.74 / Max: 3.83 Min: 4.42 / Avg: 4.43 / Max: 4.46 Min: 3.62 / Avg: 3.65 / Max: 3.7 Min: 5.48 / Avg: 5.5 / Max: 5.54 Min: 7.27 / Avg: 7.28 / Max: 7.29 Min: 6.36 / Avg: 6.46 / Max: 6.6 Min: 6.3 / Avg: 6.35 / Max: 6.4 Min: 3.69 / Avg: 3.7 / Max: 3.73
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 0.17, N = 3 SE +/- 1.31, N = 3 SE +/- 1.40, N = 3 SE +/- 0.42, N = 3 SE +/- 0.17, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 1.18, N = 3 SE +/- 0.59, N = 3 SE +/- 0.04, N = 3 SE +/- 0.51, N = 3 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.28, N = 3 SE +/- 0.51, N = 3 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 SE +/- 0.33, N = 3 SE +/- 0.21, N = 3 118.75 191.27 189.55 171.94 117.43 105.75 77.76 170.06 93.41 115.55 104.22 113.40 109.29 124.64 107.66 78.65 79.82 86.94 118.13 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 118.41 / Avg: 118.75 / Max: 118.92 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: 117.12 / Avg: 117.43 / Max: 117.72 Min: 105.49 / Avg: 105.75 / Max: 106.19 Min: 77.38 / Avg: 77.76 / Max: 77.98 Min: 167.84 / Avg: 170.06 / Max: 171.84 Min: 92.24 / Avg: 93.41 / Max: 94.08 Min: 115.5 / Avg: 115.55 / Max: 115.63 Min: 103.22 / Avg: 104.22 / Max: 104.87 Min: 112.95 / Avg: 113.4 / Max: 114.21 Min: 108.92 / Avg: 109.29 / Max: 109.66 Min: 124.22 / Avg: 124.64 / Max: 125.16 Min: 106.77 / Avg: 107.66 / Max: 108.55 Min: 78.25 / Avg: 78.65 / Max: 79.37 Min: 79.53 / Avg: 79.82 / Max: 80.04 Min: 86.56 / Avg: 86.94 / Max: 87.6 Min: 117.77 / Avg: 118.13 / Max: 118.5 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.3392 2.6784 4.0176 5.3568 6.696 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.042, N = 4 SE +/- 0.032, N = 3 SE +/- 0.043, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.017, N = 3 SE +/- 0.041, N = 15 SE +/- 0.015, N = 3 SE +/- 0.023, N = 3 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 SE +/- 0.018, N = 3 SE +/- 0.020, N = 3 SE +/- 0.006, N = 3 SE +/- 0.032, N = 3 SE +/- 0.015, N = 3 SE +/- 0.010, N = 3 SE +/- 0.005, N = 3 2.612 2.503 3.216 3.190 2.891 2.699 3.292 5.917 2.805 4.820 2.554 2.907 2.607 2.981 2.438 3.540 5.952 5.326 4.428 2.486
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.59 / Avg: 2.61 / Max: 2.63 Min: 2.47 / Avg: 2.5 / Max: 2.52 Min: 3.11 / Avg: 3.22 / Max: 3.31 Min: 3.13 / Avg: 3.19 / Max: 3.24 Min: 2.82 / Avg: 2.89 / Max: 2.97 Min: 2.69 / Avg: 2.7 / Max: 2.71 Min: 3.28 / Avg: 3.29 / Max: 3.3 Min: 5.88 / Avg: 5.92 / Max: 5.94 Min: 2.39 / Avg: 2.8 / Max: 2.98 Min: 4.8 / Avg: 4.82 / Max: 4.85 Min: 2.52 / Avg: 2.55 / Max: 2.6 Min: 2.89 / Avg: 2.91 / Max: 2.92 Min: 2.58 / Avg: 2.61 / Max: 2.63 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 2.4 / Avg: 2.44 / Max: 2.47 Min: 3.53 / Avg: 3.54 / Max: 3.55 Min: 5.9 / Avg: 5.95 / Max: 6.01 Min: 5.3 / Avg: 5.33 / Max: 5.35 Min: 4.42 / Avg: 4.43 / Max: 4.45 Min: 2.48 / Avg: 2.49 / Max: 2.5
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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 SE +/- 1.33, N = 3 SE +/- 1.50, N = 3 SE +/- 1.79, N = 3 SE +/- 2.22, N = 3 SE +/- 2.06, N = 3 SE +/- 2.39, N = 3 SE +/- 1.17, N = 3 SE +/- 0.41, N = 3 SE +/- 1.03, N = 3 SE +/- 0.70, N = 3 SE +/- 1.97, N = 3 SE +/- 2.17, N = 3 SE +/- 1.38, N = 3 SE +/- 0.99, N = 3 SE +/- 2.67, N = 3 SE +/- 1.76, N = 3 SE +/- 0.38, N = 3 SE +/- 1.00, N = 3 SE +/- 1.66, N = 3 SE +/- 2.18, N = 3 177.12 145.72 141.18 140.35 148.99 150.81 126.75 71.60 144.71 89.29 143.59 158.53 144.57 137.58 159.20 118.48 71.66 77.48 105.52 144.44 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 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 174.45 / Avg: 177.12 / Max: 178.56 Min: 142.97 / Avg: 145.72 / Max: 148.13 Min: 137.66 / Avg: 141.18 / Max: 143.49 Min: 135.93 / Avg: 140.35 / Max: 143 Min: 145.83 / Avg: 148.99 / Max: 152.86 Min: 146.07 / Avg: 150.81 / Max: 153.76 Min: 124.48 / Avg: 126.75 / Max: 128.36 Min: 70.79 / Avg: 71.6 / Max: 72.07 Min: 142.68 / Avg: 144.71 / Max: 145.98 Min: 88.14 / Avg: 89.29 / Max: 90.57 Min: 140.36 / Avg: 143.59 / Max: 147.17 Min: 154.64 / Avg: 158.53 / Max: 162.16 Min: 141.86 / Avg: 144.57 / Max: 146.42 Min: 135.61 / Avg: 137.58 / Max: 138.59 Min: 153.88 / Avg: 159.2 / Max: 162.17 Min: 114.97 / Avg: 118.48 / Max: 120.28 Min: 70.9 / Avg: 71.66 / Max: 72.05 Min: 75.5 / Avg: 77.48 / Max: 78.71 Min: 102.21 / Avg: 105.52 / Max: 107.38 Min: 140.1 / Avg: 144.44 / Max: 146.97 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.6466 1.2932 1.9398 2.5864 3.233 SE +/- 0.004888, N = 3 SE +/- 0.001364, N = 3 SE +/- 0.002314, N = 3 SE +/- 0.001274, N = 3 SE +/- 0.001561, N = 3 SE +/- 0.002052, N = 3 SE +/- 0.003016, N = 3 SE +/- 0.002642, N = 3 SE +/- 0.006182, N = 3 SE +/- 0.006708, N = 3 SE +/- 0.003514, N = 3 SE +/- 0.001325, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.002457, N = 3 SE +/- 0.000667, N = 3 SE +/- 0.003750, N = 3 SE +/- 0.009831, N = 3 SE +/- 0.000749, N = 3 SE +/- 0.005844, N = 3 SE +/- 0.000407, N = 3 2.449580 2.709800 2.740498 2.715117 2.732245 2.696305 2.735240 2.839029 2.740470 2.331713 2.696217 2.316262 2.768810 2.868562 2.655180 2.834173 2.873772 2.690606 2.837977 2.693092 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 2.71 / Avg: 2.71 / Max: 2.71 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.73 / Avg: 2.74 / Max: 2.74 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.73 / Avg: 2.74 / Max: 2.75 Min: 2.32 / Avg: 2.33 / Max: 2.34 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.31 / Avg: 2.32 / Max: 2.32 Min: 2.77 / Avg: 2.77 / Max: 2.77 Min: 2.86 / Avg: 2.87 / Max: 2.87 Min: 2.65 / Avg: 2.66 / Max: 2.66 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.86 / Avg: 2.87 / Max: 2.89 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.69 / Avg: 2.69 / Max: 2.69 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.884 1.768 2.652 3.536 4.42 SE +/- 0.040, N = 5 SE +/- 0.053, N = 4 SE +/- 0.051, N = 4 SE +/- 0.063, N = 3 SE +/- 0.050, N = 5 SE +/- 0.052, N = 4 SE +/- 0.050, N = 4 SE +/- 0.052, N = 4 SE +/- 0.059, N = 3 SE +/- 0.040, N = 5 SE +/- 0.058, N = 3 SE +/- 0.039, N = 5 SE +/- 0.063, N = 3 SE +/- 0.067, N = 3 SE +/- 0.049, N = 4 SE +/- 0.053, N = 4 SE +/- 0.062, N = 3 SE +/- 0.049, N = 4 SE +/- 0.063, N = 3 SE +/- 0.053, N = 4 3.319 3.677 3.724 3.708 3.722 3.664 3.710 3.836 3.745 3.160 3.702 3.149 3.755 3.929 3.628 3.836 3.866 3.636 3.862 3.662
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 3.28 / Avg: 3.32 / Max: 3.48 Min: 3.61 / Avg: 3.68 / Max: 3.83 Min: 3.66 / Avg: 3.72 / Max: 3.88 Min: 3.64 / Avg: 3.71 / Max: 3.84 Min: 3.66 / Avg: 3.72 / Max: 3.92 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.66 / Avg: 3.71 / Max: 3.86 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.68 / Avg: 3.75 / Max: 3.86 Min: 3.1 / Avg: 3.16 / Max: 3.32 Min: 3.61 / Avg: 3.7 / Max: 3.81 Min: 3.1 / Avg: 3.15 / Max: 3.31 Min: 3.68 / Avg: 3.75 / Max: 3.88 Min: 3.85 / Avg: 3.93 / Max: 4.06 Min: 3.57 / Avg: 3.63 / Max: 3.78 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.8 / Avg: 3.87 / Max: 3.99 Min: 3.58 / Avg: 3.64 / Max: 3.78 Min: 3.79 / Avg: 3.86 / Max: 3.99 Min: 3.6 / Avg: 3.66 / Max: 3.82
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.016, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.022, N = 13 2.042 1.955 1.999 2.131 2.012 2.084 2.479 4.059 1.933 3.527 2.030 2.290 2.113 2.318 1.924 2.653 4.253 4.007 3.261 1.974
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.03 / Avg: 2.04 / Max: 2.06 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 2.11 / Avg: 2.13 / Max: 2.16 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.47 / Avg: 2.48 / Max: 2.48 Min: 4.05 / Avg: 4.06 / Max: 4.07 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 2.02 / Avg: 2.03 / Max: 2.04 Min: 2.29 / Avg: 2.29 / Max: 2.29 Min: 2.09 / Avg: 2.11 / Max: 2.14 Min: 2.3 / Avg: 2.32 / Max: 2.34 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 2.65 / Avg: 2.65 / Max: 2.66 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 3.99 / Avg: 4.01 / Max: 4.02 Min: 3.25 / Avg: 3.26 / Max: 3.28 Min: 1.94 / Avg: 1.97 / Max: 2.24
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 SE +/- 0.00248, N = 3 SE +/- 0.02092, N = 3 SE +/- 0.00212, N = 3 SE +/- 0.04321, N = 3 SE +/- 0.02643, N = 3 SE +/- 0.04603, N = 5 SE +/- 0.05093, N = 3 SE +/- 0.17338, N = 15 SE +/- 0.00832, N = 3 SE +/- 0.03437, N = 3 SE +/- 0.03440, N = 3 SE +/- 0.01291, N = 3 SE +/- 0.02822, N = 3 SE +/- 0.03719, N = 3 SE +/- 0.00944, N = 3 SE +/- 0.07609, N = 12 SE +/- 0.05418, N = 3 SE +/- 0.01574, N = 3 SE +/- 0.10311, N = 3 SE +/- 0.04392, N = 3 3.06396 3.69676 2.38156 2.89609 2.38303 3.73096 5.29105 10.59006 2.53147 6.98497 3.76741 4.02047 3.80272 4.24031 3.54460 5.73573 8.64768 7.92355 6.96020 3.88586 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 3.06 / Avg: 3.06 / Max: 3.07 Min: 3.67 / Avg: 3.7 / Max: 3.74 Min: 2.38 / Avg: 2.38 / Max: 2.39 Min: 2.83 / Avg: 2.9 / Max: 2.97 Min: 2.35 / Avg: 2.38 / Max: 2.44 Min: 3.57 / Avg: 3.73 / Max: 3.85 Min: 5.21 / Avg: 5.29 / Max: 5.38 Min: 9.83 / Avg: 10.59 / Max: 12.11 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 6.94 / Avg: 6.98 / Max: 7.05 Min: 3.72 / Avg: 3.77 / Max: 3.83 Min: 4 / Avg: 4.02 / Max: 4.04 Min: 3.77 / Avg: 3.8 / Max: 3.86 Min: 4.18 / Avg: 4.24 / Max: 4.3 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 5.47 / Avg: 5.74 / Max: 6.46 Min: 8.57 / Avg: 8.65 / Max: 8.75 Min: 7.9 / Avg: 7.92 / Max: 7.95 Min: 6.79 / Avg: 6.96 / Max: 7.14 Min: 3.82 / Avg: 3.89 / Max: 3.97 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3K 6K 9K 12K 15K SE +/- 12.57, N = 3 SE +/- 20.22, N = 3 SE +/- 12.03, N = 3 SE +/- 101.29, N = 11 SE +/- 14.15, N = 3 SE +/- 16.44, N = 3 SE +/- 24.18, N = 3 SE +/- 44.12, N = 3 SE +/- 61.76, N = 3 SE +/- 23.39, N = 3 SE +/- 17.82, N = 3 SE +/- 91.46, N = 3 SE +/- 16.29, N = 3 SE +/- 26.03, N = 3 SE +/- 99.28, N = 3 SE +/- 57.25, N = 3 SE +/- 101.77, N = 3 SE +/- 45.96, N = 3 SE +/- 11.14, N = 3 SE +/- 19.40, N = 3 12827 11708 11511 11479 11476 11650 11486 11070 11488 13536 11589 13599 11459 10901 11671 11146 10973 11856 11081 11652 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K Min: 12803 / Avg: 12827.33 / Max: 12845 Min: 11668 / Avg: 11708.33 / Max: 11731 Min: 11493 / Avg: 11511.33 / Max: 11534 Min: 10588 / Avg: 11479.45 / Max: 11738 Min: 11452 / Avg: 11476.33 / Max: 11501 Min: 11625 / Avg: 11650 / Max: 11681 Min: 11452 / Avg: 11486.33 / Max: 11533 Min: 11001 / Avg: 11069.67 / Max: 11152 Min: 11390 / Avg: 11487.67 / Max: 11602 Min: 13491 / Avg: 13536.33 / Max: 13569 Min: 11567 / Avg: 11588.67 / Max: 11624 Min: 13417 / Avg: 13598.67 / Max: 13708 Min: 11427 / Avg: 11459.33 / Max: 11479 Min: 10858 / Avg: 10901.33 / Max: 10948 Min: 11474 / Avg: 11671 / Max: 11791 Min: 11050 / Avg: 11145.67 / Max: 11248 Min: 10770 / Avg: 10973.33 / Max: 11083 Min: 11771 / Avg: 11855.67 / Max: 11929 Min: 11059 / Avg: 11081 / Max: 11095 Min: 11623 / Avg: 11652.33 / Max: 11689 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 SE +/- 1.86, N = 3 SE +/- 1.54, N = 3 SE +/- 1.02, N = 3 SE +/- 2.06, N = 3 SE +/- 2.83, N = 3 SE +/- 0.78, N = 3 SE +/- 1.23, N = 3 SE +/- 0.37, N = 3 SE +/- 1.81, N = 3 SE +/- 0.48, N = 3 SE +/- 3.58, N = 4 SE +/- 0.73, N = 3 SE +/- 3.11, N = 3 SE +/- 0.95, N = 3 SE +/- 3.97, N = 3 SE +/- 0.83, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 2.25, N = 3 291.00 285.23 282.53 278.50 288.70 260.38 196.52 87.66 286.10 95.61 275.88 202.89 266.03 241.17 297.18 201.17 85.67 80.77 159.41 286.20 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 Min: 287.49 / Avg: 291 / Max: 293.83 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: 283.42 / Avg: 288.7 / Max: 293.11 Min: 259.29 / Avg: 260.38 / Max: 261.89 Min: 194.11 / Avg: 196.52 / Max: 198.15 Min: 87.18 / Avg: 87.66 / Max: 88.39 Min: 282.89 / Avg: 286.1 / Max: 289.16 Min: 95 / Avg: 95.61 / Max: 96.56 Min: 267.74 / Avg: 275.88 / Max: 285.17 Min: 201.82 / Avg: 202.89 / Max: 204.29 Min: 262.47 / Avg: 266.03 / Max: 272.23 Min: 239.52 / Avg: 241.17 / Max: 242.82 Min: 291.26 / Avg: 297.18 / Max: 304.72 Min: 199.53 / Avg: 201.17 / Max: 202.16 Min: 85.3 / Avg: 85.67 / Max: 86.01 Min: 80.44 / Avg: 80.77 / Max: 81.16 Min: 158.86 / Avg: 159.41 / Max: 159.7 Min: 281.95 / Avg: 286.2 / Max: 289.58 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K SE +/- 242.78, N = 3 SE +/- 1104.18, N = 12 SE +/- 1672.04, N = 8 SE +/- 2123.40, N = 3 SE +/- 1908.61, N = 3 SE +/- 334.89, N = 3 SE +/- 106.02, N = 3 SE +/- 219.73, N = 3 SE +/- 252.72, N = 3 SE +/- 68.82, N = 3 SE +/- 1254.13, N = 3 SE +/- 155.57, N = 3 SE +/- 554.28, N = 3 SE +/- 473.52, N = 3 SE +/- 293.15, N = 3 SE +/- 120.56, N = 3 SE +/- 337.56, N = 3 SE +/- 67.38, N = 3 SE +/- 802.19, N = 3 SE +/- 320.50, N = 3 121525.13 133908.92 160887.39 134685.96 150648.47 109971.98 84934.71 44076.81 138431.07 52650.75 124083.95 98750.37 135022.21 91394.81 143497.18 76405.27 41087.46 47744.98 58471.22 134830.00 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30K 60K 90K 120K 150K Min: 121274.35 / Avg: 121525.13 / Max: 122010.6 Min: 121806.39 / Avg: 133908.92 / Max: 135449.55 Min: 158223.44 / Avg: 160887.39 / Max: 172237.35 Min: 130680.76 / Avg: 134685.96 / Max: 137911.4 Min: 148564.98 / Avg: 150648.47 / Max: 154460.18 Min: 109341.81 / Avg: 109971.98 / Max: 110483.57 Min: 84763.98 / Avg: 84934.71 / Max: 85128.98 Min: 43682.07 / Avg: 44076.81 / Max: 44441.44 Min: 137948.8 / Avg: 138431.07 / Max: 138803.22 Min: 52530.46 / Avg: 52650.75 / Max: 52768.82 Min: 121594.51 / Avg: 124083.95 / Max: 125594.29 Min: 98547.12 / Avg: 98750.37 / Max: 99056.01 Min: 134245.38 / Avg: 135022.21 / Max: 136095.53 Min: 90617.8 / Avg: 91394.81 / Max: 92252.2 Min: 142929.16 / Avg: 143497.18 / Max: 143906.96 Min: 76247.66 / Avg: 76405.27 / Max: 76642.11 Min: 40596.75 / Avg: 41087.46 / Max: 41734.37 Min: 47673.86 / Avg: 47744.98 / Max: 47879.67 Min: 57538.62 / Avg: 58471.22 / Max: 60068.11 Min: 134233.96 / Avg: 134830 / Max: 135332.24 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2K 4K 6K 8K 10K SE +/- 6.72, N = 3 SE +/- 17.27, N = 3 SE +/- 25.41, N = 3 SE +/- 120.96, N = 12 SE +/- 11.62, N = 3 SE +/- 15.10, N = 3 SE +/- 26.00, N = 3 SE +/- 18.98, N = 3 SE +/- 25.12, N = 3 SE +/- 17.77, N = 3 SE +/- 11.00, N = 3 SE +/- 14.56, N = 3 SE +/- 26.37, N = 3 SE +/- 35.37, N = 3 SE +/- 9.46, N = 3 SE +/- 13.57, N = 3 SE +/- 64.79, N = 13 SE +/- 24.57, N = 3 SE +/- 18.94, N = 3 SE +/- 34.91, N = 3 8920.8 8099.7 8020.3 7964.4 7949.4 8109.5 7995.0 7745.0 8006.0 9421.5 8120.4 9439.3 8026.0 7612.7 8216.8 7730.8 7654.3 8220.9 7723.8 8134.5 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1600 3200 4800 6400 8000 Min: 8907.4 / Avg: 8920.77 / Max: 8928.6 Min: 8080.9 / Avg: 8099.7 / Max: 8134.2 Min: 7974 / Avg: 8020.27 / Max: 8061.6 Min: 6641.2 / Avg: 7964.4 / Max: 8138.6 Min: 7926.3 / Avg: 7949.4 / Max: 7963.1 Min: 8082.1 / Avg: 8109.47 / Max: 8134.2 Min: 7964.9 / Avg: 7995.03 / Max: 8046.8 Min: 7711.3 / Avg: 7744.97 / Max: 7777 Min: 7973.4 / Avg: 8006 / Max: 8055.4 Min: 9400.9 / Avg: 9421.53 / Max: 9456.9 Min: 8098.4 / Avg: 8120.37 / Max: 8132.3 Min: 9411 / Avg: 9439.3 / Max: 9459.4 Min: 7994.6 / Avg: 8026 / Max: 8078.4 Min: 7570.9 / Avg: 7612.67 / Max: 7683 Min: 8199 / Avg: 8216.83 / Max: 8231.2 Min: 7709 / Avg: 7730.8 / Max: 7755.7 Min: 6879.1 / Avg: 7654.31 / Max: 7742 Min: 8173.5 / Avg: 8220.87 / Max: 8255.9 Min: 7692.6 / Avg: 7723.83 / Max: 7758 Min: 8082.8 / Avg: 8134.5 / Max: 8201 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 SE +/- 0.78, N = 3 SE +/- 1.60, N = 3 SE +/- 3.39, N = 3 SE +/- 1.71, N = 3 SE +/- 0.92, N = 3 SE +/- 0.65, N = 3 SE +/- 0.84, N = 3 SE +/- 0.19, N = 3 SE +/- 0.35, N = 3 SE +/- 0.17, N = 3 SE +/- 3.26, N = 3 SE +/- 1.32, N = 3 SE +/- 1.86, N = 3 SE +/- 0.18, N = 3 SE +/- 1.64, N = 3 SE +/- 0.74, N = 3 SE +/- 0.19, N = 3 SE +/- 0.44, N = 3 SE +/- 0.60, N = 3 SE +/- 0.97, N = 3 361.45 357.09 360.79 348.52 364.75 334.14 247.19 115.55 369.46 120.31 348.02 246.52 332.00 302.67 374.54 252.60 112.47 103.49 195.57 354.06 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 70 140 210 280 350 Min: 359.93 / Avg: 361.45 / Max: 362.54 Min: 354.4 / Avg: 357.09 / Max: 359.93 Min: 354.19 / Avg: 360.79 / Max: 365.41 Min: 345.82 / Avg: 348.52 / Max: 351.7 Min: 362.98 / Avg: 364.75 / Max: 366.08 Min: 332.96 / Avg: 334.14 / Max: 335.2 Min: 245.6 / Avg: 247.19 / Max: 248.45 Min: 115.19 / Avg: 115.55 / Max: 115.81 Min: 369 / Avg: 369.46 / Max: 370.14 Min: 119.98 / Avg: 120.31 / Max: 120.53 Min: 343.64 / Avg: 348.02 / Max: 354.4 Min: 244.2 / Avg: 246.52 / Max: 248.76 Min: 329.31 / Avg: 332 / Max: 335.57 Min: 302.42 / Avg: 302.67 / Max: 303.03 Min: 372.9 / Avg: 374.54 / Max: 377.83 Min: 251.15 / Avg: 252.6 / Max: 253.59 Min: 112.13 / Avg: 112.47 / Max: 112.8 Min: 102.62 / Avg: 103.49 / Max: 103.95 Min: 194.68 / Avg: 195.57 / Max: 196.72 Min: 352.32 / Avg: 354.06 / Max: 355.66 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.00420, N = 3 SE +/- 0.00223, N = 3 SE +/- 0.00706, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.04018, N = 3 SE +/- 0.00937, N = 3 SE +/- 0.01674, N = 3 SE +/- 0.01046, N = 3 SE +/- 0.03536, N = 3 SE +/- 0.01238, N = 3 SE +/- 0.00475, N = 3 SE +/- 0.00968, N = 3 SE +/- 0.02965, N = 3 SE +/- 0.00585, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.01899, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.00826, N = 3 SE +/- 0.00981, N = 3 2.18628 2.00515 1.45860 1.57850 1.55827 2.45058 3.43344 6.80051 1.57190 5.76680 2.14353 2.85775 2.07830 2.81942 1.89790 3.41483 7.00609 6.33812 4.75589 2.02097 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 3 6 9 12 15 Min: 2.18 / Avg: 2.19 / Max: 2.19 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 1.45 / Avg: 1.46 / Max: 1.47 Min: 1.58 / Avg: 1.58 / Max: 1.58 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 2.37 / Avg: 2.45 / Max: 2.51 Min: 3.42 / Avg: 3.43 / Max: 3.45 Min: 6.77 / Avg: 6.8 / Max: 6.83 Min: 1.56 / Avg: 1.57 / Max: 1.59 Min: 5.71 / Avg: 5.77 / Max: 5.83 Min: 2.13 / Avg: 2.14 / Max: 2.17 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 2.06 / Avg: 2.08 / Max: 2.09 Min: 2.76 / Avg: 2.82 / Max: 2.85 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 3.41 / Avg: 3.41 / Max: 3.42 Min: 6.98 / Avg: 7.01 / Max: 7.04 Min: 6.33 / Avg: 6.34 / Max: 6.34 Min: 4.74 / Avg: 4.76 / Max: 4.77 Min: 2 / Avg: 2.02 / Max: 2.04 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 2.828 2.836 2.895 2.858 2.893 2.836 2.874 2.971 2.884 2.456 2.841 2.454 2.890 3.026 2.799 2.967 3.004 2.801 2.984 2.839 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.83 / Avg: 2.83 / Max: 2.83 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.86 / Avg: 2.86 / Max: 2.86 Min: 2.89 / Avg: 2.89 / Max: 2.9 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.87 / Avg: 2.87 / Max: 2.88 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 2.88 / Avg: 2.88 / Max: 2.89 Min: 2.45 / Avg: 2.46 / Max: 2.46 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.45 / Avg: 2.45 / Max: 2.47 Min: 2.88 / Avg: 2.89 / Max: 2.89 Min: 3.01 / Avg: 3.03 / Max: 3.06 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 3 / Avg: 3 / Max: 3.01 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 2.83 / Avg: 2.84 / Max: 2.85 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300K 600K 900K 1200K 1500K SE +/- 551.87, N = 5 SE +/- 823.10, N = 5 SE +/- 567.47, N = 5 SE +/- 893.15, N = 5 SE +/- 712.78, N = 5 SE +/- 903.80, N = 5 SE +/- 567.47, N = 5 SE +/- 1232.94, N = 5 SE +/- 913.57, N = 5 SE +/- 3053.58, N = 5 SE +/- 736.20, N = 5 SE +/- 1687.74, N = 5 SE +/- 910.04, N = 5 SE +/- 1494.44, N = 5 SE +/- 968.31, N = 5 SE +/- 673.05, N = 5 SE +/- 1769.79, N = 5 SE +/- 1036.47, N = 5 SE +/- 1633.10, N = 5 SE +/- 936.97, N = 5 1114034 1006909 994185 1002876 991322 1007278 994185 960888 993111 1163483 1005805 1170383 991681 944092 1022993 962227 950613 1019963 957219 1005806 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200K 400K 600K 800K 1000K Min: 1112682 / Avg: 1114033.8 / Max: 1114935 Min: 1005069 / Avg: 1006908.8 / Max: 1008750 Min: 992392 / Avg: 994185 / Max: 995981 Min: 999597 / Avg: 1002876 / Max: 1005069 Min: 988829 / Avg: 991322.4 / Max: 992392 Min: 1005069 / Avg: 1007277.6 / Max: 1010601 Min: 992392 / Avg: 994185 / Max: 995981 Min: 957874 / Avg: 960888.4 / Max: 964584 Min: 990607 / Avg: 993111.2 / Max: 995981 Min: 1152255 / Avg: 1163483.4 / Max: 1169380 Min: 1005069 / Avg: 1005805.2 / Max: 1008750 Min: 1166902 / Avg: 1170383.2 / Max: 1174366 Min: 988829 / Avg: 991680.8 / Max: 994184 Min: 938293 / Avg: 944091.8 / Max: 946353 Min: 1019959 / Avg: 1022993.4 / Max: 1025657 Min: 961218 / Avg: 962227.2 / Max: 964584 Min: 946353 / Avg: 950613.2 / Max: 956211 Min: 1018073 / Avg: 1019962.8 / Max: 1023750 Min: 952903 / Avg: 957219.4 / Max: 962898 Min: 1003238 / Avg: 1005806.4 / Max: 1008750 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.4325 0.865 1.2975 1.73 2.1625 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 1.922 1.776 1.812 1.792 1.802 1.773 1.800 1.854 1.799 1.538 1.778 1.528 1.802 1.894 1.745 1.849 1.901 1.748 1.862 1.767 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 1.91 / Avg: 1.92 / Max: 1.93 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.85 / Avg: 1.85 / Max: 1.86 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.53 / Avg: 1.54 / Max: 1.55 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.52 / Avg: 1.53 / Max: 1.53 Min: 1.79 / Avg: 1.8 / Max: 1.81 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 1.84 / Avg: 1.85 / Max: 1.85 Min: 1.9 / Avg: 1.9 / Max: 1.91 Min: 1.74 / Avg: 1.75 / Max: 1.75 Min: 1.84 / Avg: 1.86 / Max: 1.87 Min: 1.76 / Avg: 1.77 / Max: 1.77 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.0383 0.0766 0.1149 0.1532 0.1915 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 4 SE +/- 0.002, N = 15 SE +/- 0.014, N = 15 SE +/- 0.001, N = 5 SE +/- 0.001, N = 14 SE +/- 0.001, N = 3 SE +/- 0.002, N = 13 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 12 SE +/- 0.001, N = 12 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 0.090 0.080 0.077 0.093 0.101 0.088 0.106 0.159 0.080 0.149 0.082 0.102 0.087 0.099 0.081 0.114 0.170 0.165 0.136 0.081
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1 2 3 4 5 Min: 0.09 / Avg: 0.09 / Max: 0.09 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: 0.11 Min: 0.08 / Avg: 0.1 / Max: 0.24 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.11 / Max: 0.12 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.08 / Avg: 0.08 / Max: 0.1 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.1 / Max: 0.11 Min: 0.08 / Avg: 0.08 / Max: 0.09 Min: 0.11 / Avg: 0.11 / Max: 0.12 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.13 / Avg: 0.14 / Max: 0.14 Min: 0.08 / Avg: 0.08 / Max: 0.08
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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 4.02, N = 4 SE +/- 6.68, N = 3 SE +/- 4.53, N = 3 SE +/- 1.57, N = 3 SE +/- 4.79, N = 3 SE +/- 13.63, N = 3 SE +/- 5.32, N = 3 SE +/- 10.23, N = 3 SE +/- 5.24, N = 3 SE +/- 4.00, N = 3 SE +/- 4.02, N = 3 SE +/- 0.89, N = 3 SE +/- 1.74, N = 3 SE +/- 10.99, N = 3 SE +/- 2.27, N = 4 SE +/- 7.74, N = 3 SE +/- 2.85, N = 6 SE +/- 2.40, N = 3 SE +/- 3.19, N = 8 SE +/- 3.37, N = 3 1430.76 1388.23 1364.10 1368.83 1366.25 1381.42 1384.18 1380.05 1375.56 1428.03 1371.83 1441.84 1376.68 1367.38 1375.99 1414.50 1383.61 1373.93 1404.94 1374.08 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1420.34 / Avg: 1430.76 / Max: 1438.03 Min: 1377.18 / Avg: 1388.23 / Max: 1400.25 Min: 1358.12 / Avg: 1364.1 / Max: 1372.98 Min: 1365.99 / Avg: 1368.83 / Max: 1371.39 Min: 1359.5 / Avg: 1366.25 / Max: 1375.51 Min: 1362.62 / Avg: 1381.42 / Max: 1407.92 Min: 1377.73 / Avg: 1384.18 / Max: 1394.73 Min: 1360.55 / Avg: 1380.05 / Max: 1395.18 Min: 1365.53 / Avg: 1375.56 / Max: 1383.22 Min: 1421.68 / Avg: 1428.03 / Max: 1435.43 Min: 1366.21 / Avg: 1371.83 / Max: 1379.62 Min: 1440.07 / Avg: 1441.84 / Max: 1442.9 Min: 1374.18 / Avg: 1376.68 / Max: 1380.03 Min: 1350.9 / Avg: 1367.38 / Max: 1388.21 Min: 1371.46 / Avg: 1375.99 / Max: 1382.01 Min: 1399.32 / Avg: 1414.5 / Max: 1424.68 Min: 1374.16 / Avg: 1383.61 / Max: 1393.03 Min: 1369.63 / Avg: 1373.93 / Max: 1377.93 Min: 1389.1 / Avg: 1404.94 / Max: 1417.09 Min: 1367.62 / Avg: 1374.08 / Max: 1378.99 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 SE +/- 25.56, N = 4 SE +/- 2.04, N = 3 SE +/- 10.46, N = 3 SE +/- 5.43, N = 3 SE +/- 2.75, N = 3 SE +/- 2.61, N = 3 SE +/- 5.14, N = 3 SE +/- 8.59, N = 3 SE +/- 2.72, N = 3 SE +/- 13.68, N = 3 SE +/- 5.28, N = 3 SE +/- 8.17, N = 3 SE +/- 0.83, N = 3 SE +/- 3.89, N = 3 SE +/- 21.70, N = 4 SE +/- 2.60, N = 3 SE +/- 19.55, N = 6 SE +/- 9.23, N = 3 SE +/- 17.96, N = 8 SE +/- 4.26, N = 3 1849.32 1542.43 1251.89 1575.39 1606.89 1636.48 1598.23 1603.94 1573.20 1927.48 1259.04 1850.53 1590.82 1622.60 1604.88 1659.95 1678.20 1584.29 1725.53 1571.84 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1821.66 / Avg: 1849.32 / Max: 1925.92 Min: 1538.62 / Avg: 1542.43 / Max: 1545.61 Min: 1231.03 / Avg: 1251.89 / Max: 1263.75 Min: 1564.62 / Avg: 1575.39 / Max: 1582.05 Min: 1601.58 / Avg: 1606.89 / Max: 1610.78 Min: 1633.32 / Avg: 1636.48 / Max: 1641.66 Min: 1589.01 / Avg: 1598.23 / Max: 1606.76 Min: 1590.02 / Avg: 1603.94 / Max: 1619.63 Min: 1568.76 / Avg: 1573.2 / Max: 1578.14 Min: 1909.11 / Avg: 1927.48 / Max: 1954.23 Min: 1248.55 / Avg: 1259.04 / Max: 1265.36 Min: 1838.59 / Avg: 1850.53 / Max: 1866.16 Min: 1589.42 / Avg: 1590.82 / Max: 1592.28 Min: 1617.44 / Avg: 1622.6 / Max: 1630.22 Min: 1579.94 / Avg: 1604.88 / Max: 1669.75 Min: 1657.12 / Avg: 1659.95 / Max: 1665.15 Min: 1584.67 / Avg: 1678.2 / Max: 1716.09 Min: 1572.77 / Avg: 1584.29 / Max: 1602.55 Min: 1649.54 / Avg: 1725.53 / Max: 1795.82 Min: 1566.18 / Avg: 1571.84 / Max: 1580.18 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.2947 0.5894 0.8841 1.1788 1.4735 SE +/- 0.002331, N = 3 SE +/- 0.000831, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.001369, N = 3 SE +/- 0.000236, N = 3 SE +/- 0.000237, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.001278, N = 3 SE +/- 0.003407, N = 3 SE +/- 0.002177, N = 3 SE +/- 0.000499, N = 3 SE +/- 0.000910, N = 3 SE +/- 0.003502, N = 3 SE +/- 0.000758, N = 3 SE +/- 0.000067, N = 3 SE +/- 0.003026, N = 3 SE +/- 0.003378, N = 3 SE +/- 0.004902, N = 3 SE +/- 0.003246, N = 3 SE +/- 0.000599, N = 3 1.115877 1.242573 1.249168 1.231897 1.244588 1.228600 1.244002 1.304260 1.248408 1.059790 1.226732 1.055572 1.251942 1.305372 1.207137 1.284880 1.309975 1.217988 1.292170 1.227227 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 1.11 / Avg: 1.12 / Max: 1.12 Min: 1.24 / Avg: 1.24 / Max: 1.24 Min: 1.25 / Avg: 1.25 / Max: 1.25 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.3 / Avg: 1.3 / Max: 1.31 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.25 / Avg: 1.25 / Max: 1.26 Min: 1.3 / Avg: 1.31 / Max: 1.31 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.3 / Avg: 1.31 / Max: 1.32 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.23 / Avg: 1.23 / Max: 1.23 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.2477 0.4954 0.7431 0.9908 1.2385 SE +/- 0.000997, N = 3 SE +/- 0.001534, N = 3 SE +/- 0.000882, N = 3 SE +/- 0.000715, N = 3 SE +/- 0.000753, N = 3 SE +/- 0.000791, N = 3 SE +/- 0.001091, N = 3 SE +/- 0.001672, N = 3 SE +/- 0.000932, N = 3 SE +/- 0.002476, N = 3 SE +/- 0.001174, N = 3 SE +/- 0.000474, N = 3 SE +/- 0.001981, N = 3 SE +/- 0.001080, N = 3 SE +/- 0.000354, N = 3 SE +/- 0.001415, N = 3 SE +/- 0.003821, N = 3 SE +/- 0.004000, N = 3 SE +/- 0.001552, N = 3 SE +/- 0.000668, N = 3 0.942317 1.051038 1.052042 1.036920 1.048453 1.035080 1.048465 1.098203 1.049650 0.894938 1.033427 0.888915 1.056087 1.100758 1.015980 1.082283 1.100890 1.025110 1.087148 1.033955 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.04 / Avg: 1.04 / Max: 1.04 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.03 / Avg: 1.04 / Max: 1.04 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 0.89 / Avg: 0.89 / Max: 0.9 Min: 1.03 / Avg: 1.03 / Max: 1.04 Min: 0.89 / Avg: 0.89 / Max: 0.89 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.09 / Avg: 1.1 / Max: 1.11 Min: 1.02 / Avg: 1.03 / Max: 1.03 Min: 1.08 / Avg: 1.09 / Max: 1.09 Min: 1.03 / Avg: 1.03 / Max: 1.03 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 0.725 1.45 2.175 2.9 3.625 SE +/- 0.007796, N = 3 SE +/- 0.001660, N = 3 SE +/- 0.024969, N = 3 SE +/- 0.002876, N = 3 SE +/- 0.003031, N = 3 SE +/- 0.000361, N = 3 SE +/- 0.004096, N = 3 SE +/- 0.016890, N = 3 SE +/- 0.002139, N = 3 SE +/- 0.002402, N = 3 SE +/- 0.002802, N = 3 SE +/- 0.000813, N = 3 SE +/- 0.000645, N = 3 SE +/- 0.001591, N = 3 SE +/- 0.001339, N = 3 SE +/- 0.003332, N = 3 SE +/- 0.016878, N = 3 SE +/- 0.005671, N = 3 SE +/- 0.002712, N = 3 SE +/- 0.003620, N = 3 2.570908 2.826791 2.879442 2.812404 2.842580 2.801377 2.844541 3.222167 2.847956 2.440883 2.802675 2.414850 2.853650 2.980562 2.758205 2.936601 2.996117 2.787508 2.962278 2.802039 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 2.56 / Avg: 2.57 / Max: 2.59 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 2.81 / Avg: 2.81 / Max: 2.82 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 3.19 / Avg: 3.22 / Max: 3.25 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.44 / Avg: 2.44 / Max: 2.44 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 2.41 / Avg: 2.41 / Max: 2.42 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.98 / Avg: 2.98 / Max: 2.98 Min: 2.76 / Avg: 2.76 / Max: 2.76 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.97 / Avg: 3 / Max: 3.03 Min: 2.78 / Avg: 2.79 / Max: 2.8 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.79 / Avg: 2.8 / Max: 2.81 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.1755 2.351 3.5265 4.702 5.8775 SE +/- 0.003840, N = 3 SE +/- 0.008226, N = 3 SE +/- 0.000840, N = 3 SE +/- 0.003424, N = 3 SE +/- 0.004061, N = 3 SE +/- 0.000683, N = 3 SE +/- 0.002894, N = 3 SE +/- 0.007223, N = 3 SE +/- 0.002361, N = 3 SE +/- 0.011665, N = 3 SE +/- 0.004633, N = 3 SE +/- 0.000994, N = 3 SE +/- 0.012064, N = 3 SE +/- 0.002824, N = 3 SE +/- 0.000419, N = 3 SE +/- 0.003474, N = 3 SE +/- 0.010168, N = 3 SE +/- 0.008742, N = 3 SE +/- 0.016217, N = 3 SE +/- 0.002829, N = 3 4.394798 4.852151 4.906207 4.850538 4.900239 4.831873 4.896866 5.224225 4.912686 4.175056 4.839403 4.154332 4.928625 5.143761 4.751726 5.056768 5.145545 4.806707 5.121093 4.826640 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 4.39 / Avg: 4.39 / Max: 4.4 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.84 / Avg: 4.85 / Max: 4.86 Min: 4.9 / Avg: 4.9 / Max: 4.91 Min: 4.83 / Avg: 4.83 / Max: 4.83 Min: 4.89 / Avg: 4.9 / Max: 4.9 Min: 5.21 / Avg: 5.22 / Max: 5.23 Min: 4.91 / Avg: 4.91 / Max: 4.92 Min: 4.16 / Avg: 4.18 / Max: 4.2 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.15 / Avg: 4.15 / Max: 4.16 Min: 4.91 / Avg: 4.93 / Max: 4.95 Min: 5.14 / Avg: 5.14 / Max: 5.15 Min: 4.75 / Avg: 4.75 / Max: 4.75 Min: 5.05 / Avg: 5.06 / Max: 5.06 Min: 5.13 / Avg: 5.15 / Max: 5.16 Min: 4.79 / Avg: 4.81 / Max: 4.82 Min: 5.1 / Avg: 5.12 / Max: 5.15 Min: 4.82 / Avg: 4.83 / Max: 4.83 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 SE +/- 0.009253, N = 3 SE +/- 0.002525, N = 3 SE +/- 0.002452, N = 3 SE +/- 0.019618, N = 3 SE +/- 0.021564, N = 3 SE +/- 0.011697, N = 3 SE +/- 0.004193, N = 3 SE +/- 0.008403, N = 3 SE +/- 0.000987, N = 3 SE +/- 0.013545, N = 3 SE +/- 0.009361, N = 3 SE +/- 0.004480, N = 3 SE +/- 0.005066, N = 3 SE +/- 0.005105, N = 3 SE +/- 0.004603, N = 3 SE +/- 0.014814, N = 3 SE +/- 0.038424, N = 3 SE +/- 0.020038, N = 3 SE +/- 0.004122, N = 3 SE +/- 0.001157, N = 3 4.956801 5.303184 5.407218 5.349437 5.411095 5.318605 5.390151 6.090507 5.382421 4.638079 5.308740 4.590949 5.406158 5.655470 5.222480 5.588216 5.723526 5.265369 5.673728 5.312421 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 4.94 / Avg: 4.96 / Max: 4.97 Min: 5.3 / Avg: 5.3 / Max: 5.31 Min: 5.4 / Avg: 5.41 / Max: 5.41 Min: 5.33 / Avg: 5.35 / Max: 5.39 Min: 5.39 / Avg: 5.41 / Max: 5.45 Min: 5.3 / Avg: 5.32 / Max: 5.34 Min: 5.38 / Avg: 5.39 / Max: 5.39 Min: 6.08 / Avg: 6.09 / Max: 6.11 Min: 5.38 / Avg: 5.38 / Max: 5.38 Min: 4.61 / Avg: 4.64 / Max: 4.66 Min: 5.3 / Avg: 5.31 / Max: 5.33 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 5.65 / Avg: 5.66 / Max: 5.66 Min: 5.22 / Avg: 5.22 / Max: 5.23 Min: 5.56 / Avg: 5.59 / Max: 5.62 Min: 5.66 / Avg: 5.72 / Max: 5.79 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.67 / Avg: 5.67 / Max: 5.68 Min: 5.31 / Avg: 5.31 / Max: 5.31 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 1.2047 2.4094 3.6141 4.8188 6.0235 SE +/- 0.010372, N = 3 SE +/- 0.004608, N = 3 SE +/- 0.006914, N = 3 SE +/- 0.011361, N = 3 SE +/- 0.007590, N = 3 SE +/- 0.006874, N = 3 SE +/- 0.003541, N = 3 SE +/- 0.035846, N = 3 SE +/- 0.012710, N = 3 SE +/- 0.009248, N = 3 SE +/- 0.003085, N = 3 SE +/- 0.005492, N = 3 SE +/- 0.005292, N = 3 SE +/- 0.041024, N = 3 SE +/- 0.002205, N = 3 SE +/- 0.005936, N = 3 SE +/- 0.029170, N = 3 SE +/- 0.011124, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.009984, N = 3 4.248951 4.449033 4.516180 4.452469 4.495252 4.450068 4.481216 5.354166 4.490296 3.867440 4.416565 3.836466 4.510940 4.777518 4.362872 4.670712 4.784334 4.406652 4.734690 4.412687 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 2 4 6 8 10 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.51 / Avg: 4.52 / Max: 4.53 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 4.48 / Avg: 4.5 / Max: 4.51 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 5.29 / Avg: 5.35 / Max: 5.42 Min: 4.47 / Avg: 4.49 / Max: 4.51 Min: 3.85 / Avg: 3.87 / Max: 3.88 Min: 4.41 / Avg: 4.42 / Max: 4.42 Min: 3.83 / Avg: 3.84 / Max: 3.85 Min: 4.51 / Avg: 4.51 / Max: 4.52 Min: 4.7 / Avg: 4.78 / Max: 4.82 Min: 4.36 / Avg: 4.36 / Max: 4.37 Min: 4.66 / Avg: 4.67 / Max: 4.68 Min: 4.74 / Avg: 4.78 / Max: 4.84 Min: 4.39 / Avg: 4.41 / Max: 4.43 Min: 4.73 / Avg: 4.73 / Max: 4.74 Min: 4.4 / Avg: 4.41 / Max: 4.43 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 SE +/- 0.25, N = 3 SE +/- 0.59, N = 3 SE +/- 0.05, N = 3 SE +/- 0.26, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.37, N = 3 SE +/- 0.15, N = 3 1103.94 999.56 985.70 996.68 985.06 999.52 984.81 954.57 985.33 1159.53 1000.18 1164.22 982.88 939.99 1015.11 954.77 951.01 1014.89 950.84 1000.06 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 1103.64 / Avg: 1103.94 / Max: 1104.19 Min: 999.32 / Avg: 999.56 / Max: 999.82 Min: 985.56 / Avg: 985.7 / Max: 985.81 Min: 996.53 / Avg: 996.68 / Max: 996.97 Min: 984.94 / Avg: 985.06 / Max: 985.16 Min: 999.42 / Avg: 999.52 / Max: 999.62 Min: 984.35 / Avg: 984.81 / Max: 985.07 Min: 954.32 / Avg: 954.57 / Max: 954.81 Min: 984.87 / Avg: 985.33 / Max: 985.87 Min: 1159.36 / Avg: 1159.53 / Max: 1159.67 Min: 999.84 / Avg: 1000.18 / Max: 1000.6 Min: 1163.84 / Avg: 1164.22 / Max: 1164.7 Min: 982.03 / Avg: 982.88 / Max: 984.01 Min: 939.93 / Avg: 939.99 / Max: 940.08 Min: 1014.63 / Avg: 1015.11 / Max: 1015.51 Min: 954.47 / Avg: 954.77 / Max: 955.16 Min: 950.79 / Avg: 951.01 / Max: 951.45 Min: 1014.84 / Avg: 1014.89 / Max: 1014.94 Min: 950.42 / Avg: 950.84 / Max: 951.59 Min: 999.79 / Avg: 1000.06 / Max: 1000.31 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 SE +/- 11.47, N = 3 SE +/- 7.47, N = 3 SE +/- 5.69, N = 3 SE +/- 10.78, N = 3 SE +/- 5.88, N = 3 SE +/- 4.03, N = 3 SE +/- 11.51, N = 3 SE +/- 15.59, N = 3 SE +/- 8.36, N = 3 SE +/- 17.92, N = 3 SE +/- 10.86, N = 3 SE +/- 16.69, N = 3 SE +/- 38.98, N = 3 SE +/- 8.50, N = 3 SE +/- 8.39, N = 3 SE +/- 21.34, N = 3 SE +/- 5.02, N = 3 SE +/- 4.67, N = 3 SE +/- 11.22, N = 3 SE +/- 6.60, N = 3 851.93 767.66 762.29 768.64 748.18 766.08 757.12 725.40 770.26 847.88 769.74 887.80 652.80 726.84 752.97 713.64 719.49 774.32 716.82 766.54 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 160 320 480 640 800 Min: 833.91 / Avg: 851.93 / Max: 873.23 Min: 753.77 / Avg: 767.66 / Max: 779.38 Min: 751.02 / Avg: 762.29 / Max: 769.3 Min: 747.43 / Avg: 768.64 / Max: 782.6 Min: 741.69 / Avg: 748.18 / Max: 759.91 Min: 758.09 / Avg: 766.08 / Max: 770.97 Min: 743.57 / Avg: 757.12 / Max: 780.02 Min: 698.44 / Avg: 725.4 / Max: 752.43 Min: 757.87 / Avg: 770.26 / Max: 786.18 Min: 813.32 / Avg: 847.88 / Max: 873.38 Min: 750.01 / Avg: 769.74 / Max: 787.46 Min: 861.26 / Avg: 887.8 / Max: 918.59 Min: 612.21 / Avg: 652.8 / Max: 730.74 Min: 713.59 / Avg: 726.84 / Max: 742.7 Min: 742.18 / Avg: 752.97 / Max: 769.49 Min: 678.71 / Avg: 713.64 / Max: 752.34 Min: 710.35 / Avg: 719.49 / Max: 727.66 Min: 766.02 / Avg: 774.32 / Max: 782.19 Min: 700.45 / Avg: 716.82 / Max: 738.29 Min: 753.8 / Avg: 766.54 / Max: 775.89 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 150 300 450 600 750 SE +/- 0.11, N = 3 SE +/- 0.30, N = 3 SE +/- 0.32, N = 3 SE +/- 0.10, N = 3 SE +/- 0.44, N = 3 SE +/- 0.24, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.47, N = 3 SE +/- 0.94, N = 3 SE +/- 0.76, N = 3 SE +/- 0.07, N = 3 SE +/- 3.52, N = 3 SE +/- 0.15, N = 3 SE +/- 0.93, N = 3 SE +/- 0.78, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 1.26, N = 3 SE +/- 0.28, N = 3 676.60 613.09 602.90 610.69 602.54 612.93 603.65 582.51 603.18 708.70 612.90 711.31 576.87 576.35 621.71 585.04 580.57 622.28 584.53 613.29 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 130 260 390 520 650 Min: 676.4 / Avg: 676.6 / Max: 676.79 Min: 612.5 / Avg: 613.09 / Max: 613.41 Min: 602.3 / Avg: 602.9 / Max: 603.4 Min: 610.52 / Avg: 610.69 / Max: 610.88 Min: 601.67 / Avg: 602.54 / Max: 603.13 Min: 612.59 / Avg: 612.93 / Max: 613.4 Min: 603.44 / Avg: 603.65 / Max: 603.83 Min: 582.29 / Avg: 582.51 / Max: 582.76 Min: 602.29 / Avg: 603.18 / Max: 603.86 Min: 706.98 / Avg: 708.7 / Max: 710.23 Min: 611.4 / Avg: 612.9 / Max: 613.87 Min: 711.2 / Avg: 711.31 / Max: 711.44 Min: 573.33 / Avg: 576.87 / Max: 583.91 Min: 576.11 / Avg: 576.35 / Max: 576.62 Min: 619.97 / Avg: 621.71 / Max: 623.15 Min: 583.83 / Avg: 585.04 / Max: 586.49 Min: 580.44 / Avg: 580.57 / Max: 580.73 Min: 622.1 / Avg: 622.28 / Max: 622.38 Min: 582.04 / Avg: 584.53 / Max: 586.08 Min: 612.75 / Avg: 613.29 / Max: 613.69 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 60 120 180 240 300 SE +/- 0.92, N = 3 SE +/- 0.63, N = 3 SE +/- 0.45, N = 3 SE +/- 0.38, N = 3 SE +/- 0.62, N = 3 SE +/- 1.03, N = 3 SE +/- 0.30, N = 3 SE +/- 0.29, N = 3 SE +/- 2.07, N = 3 SE +/- 1.11, N = 3 SE +/- 1.02, N = 3 SE +/- 0.51, N = 3 SE +/- 0.34, N = 3 SE +/- 0.93, N = 3 SE +/- 0.95, N = 3 SE +/- 2.12, N = 3 SE +/- 1.26, N = 3 SE +/- 0.26, N = 3 SE +/- 3.20, N = 3 SE +/- 0.62, N = 3 287.93 273.56 266.92 269.74 267.49 263.94 265.82 197.39 263.36 281.48 263.27 289.84 125.68 256.78 267.59 245.55 255.55 271.93 225.57 258.33 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 Min: 287 / Avg: 287.93 / Max: 289.76 Min: 272.31 / Avg: 273.56 / Max: 274.3 Min: 266.17 / Avg: 266.92 / Max: 267.72 Min: 268.99 / Avg: 269.74 / Max: 270.17 Min: 266.28 / Avg: 267.49 / Max: 268.29 Min: 261.91 / Avg: 263.94 / Max: 265.28 Min: 265.45 / Avg: 265.82 / Max: 266.42 Min: 196.97 / Avg: 197.39 / Max: 197.94 Min: 259.32 / Avg: 263.36 / Max: 266.17 Min: 280 / Avg: 281.48 / Max: 283.66 Min: 261.23 / Avg: 263.27 / Max: 264.46 Min: 289.05 / Avg: 289.84 / Max: 290.78 Min: 125.2 / Avg: 125.68 / Max: 126.33 Min: 255.43 / Avg: 256.78 / Max: 258.56 Min: 265.75 / Avg: 267.59 / Max: 268.88 Min: 243.33 / Avg: 245.55 / Max: 249.8 Min: 254.12 / Avg: 255.55 / Max: 258.06 Min: 271.61 / Avg: 271.93 / Max: 272.45 Min: 220.35 / Avg: 225.57 / Max: 231.38 Min: 257.32 / Avg: 258.33 / Max: 259.45 1. (CC) gcc options: -lm
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 SE +/- 0.45, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.22, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.38, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 1.35, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.29, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.27, N = 3 SE +/- 0.06, N = 3 132.58 120.37 118.48 119.74 118.56 120.41 118.58 114.61 118.56 139.28 119.05 140.00 118.68 113.09 122.15 114.51 114.21 121.97 114.54 120.37 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 30 60 90 120 150 Min: 131.67 / Avg: 132.58 / Max: 133.04 Min: 120.22 / Avg: 120.37 / Max: 120.47 Min: 118.28 / Avg: 118.48 / Max: 118.61 Min: 119.29 / Avg: 119.74 / Max: 119.98 Min: 118.51 / Avg: 118.56 / Max: 118.65 Min: 120.36 / Avg: 120.41 / Max: 120.48 Min: 118.52 / Avg: 118.58 / Max: 118.62 Min: 113.86 / Avg: 114.61 / Max: 115.03 Min: 118.38 / Avg: 118.56 / Max: 118.67 Min: 139.18 / Avg: 139.28 / Max: 139.41 Min: 116.35 / Avg: 119.05 / Max: 120.42 Min: 139.68 / Avg: 140 / Max: 140.23 Min: 118.58 / Avg: 118.68 / Max: 118.75 Min: 112.87 / Avg: 113.09 / Max: 113.22 Min: 121.94 / Avg: 122.15 / Max: 122.26 Min: 113.96 / Avg: 114.51 / Max: 114.92 Min: 114.18 / Avg: 114.21 / Max: 114.23 Min: 121.74 / Avg: 121.97 / Max: 122.15 Min: 114.16 / Avg: 114.54 / Max: 115.07 Min: 120.25 / Avg: 120.37 / Max: 120.43 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 400 800 1200 1600 2000 SE +/- 0.08, N = 3 SE +/- 0.36, N = 3 SE +/- 0.41, N = 3 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 SE +/- 4.45, N = 3 SE +/- 0.24, N = 3 SE +/- 4.99, N = 3 SE +/- 6.62, N = 3 SE +/- 5.43, N = 3 SE +/- 6.19, N = 3 SE +/- 0.26, N = 3 SE +/- 1.70, N = 3 SE +/- 0.36, N = 3 SE +/- 6.85, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 SE +/- 0.15, N = 3 SE +/- 4.29, N = 3 SE +/- 6.10, N = 3 1793.82 1624.46 1600.43 1618.82 1599.97 1620.27 1600.37 1543.18 1593.45 1882.96 1617.94 1891.08 1585.16 1526.07 1642.14 1551.93 1549.85 1649.03 1545.62 1618.31 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 Min: 1793.71 / Avg: 1793.82 / Max: 1793.98 Min: 1624.07 / Avg: 1624.46 / Max: 1625.17 Min: 1599.65 / Avg: 1600.43 / Max: 1601.06 Min: 1618.68 / Avg: 1618.82 / Max: 1619.05 Min: 1599.53 / Avg: 1599.97 / Max: 1600.6 Min: 1611.36 / Avg: 1620.27 / Max: 1624.8 Min: 1599.9 / Avg: 1600.37 / Max: 1600.64 Min: 1533.19 / Avg: 1543.18 / Max: 1548.29 Min: 1580.23 / Avg: 1593.45 / Max: 1600.52 Min: 1872.09 / Avg: 1882.96 / Max: 1888.44 Min: 1605.58 / Avg: 1617.94 / Max: 1624.6 Min: 1890.57 / Avg: 1891.08 / Max: 1891.43 Min: 1581.93 / Avg: 1585.16 / Max: 1587.68 Min: 1525.45 / Avg: 1526.07 / Max: 1526.7 Min: 1628.44 / Avg: 1642.14 / Max: 1649.35 Min: 1551.82 / Avg: 1551.93 / Max: 1551.98 Min: 1549.49 / Avg: 1549.85 / Max: 1550.38 Min: 1648.87 / Avg: 1649.03 / Max: 1649.33 Min: 1537.08 / Avg: 1545.62 / Max: 1550.66 Min: 1606.12 / Avg: 1618.31 / Max: 1624.72 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 800 1600 2400 3200 4000 SE +/- 1.49, N = 3 SE +/- 0.07, N = 3 SE +/- 2.71, N = 3 SE +/- 1.18, N = 3 SE +/- 2.08, N = 3 SE +/- 441.67, N = 3 SE +/- 6.61, N = 3 SE +/- 318.01, N = 3 SE +/- 440.15, N = 3 SE +/- 548.83, N = 3 SE +/- 493.42, N = 3 SE +/- 12.02, N = 3 SE +/- 19.67, N = 3 SE +/- 7.15, N = 3 SE +/- 495.38, N = 3 SE +/- 242.72, N = 3 SE +/- 129.50, N = 3 SE +/- 6.93, N = 3 SE +/- 200.91, N = 3 SE +/- 422.20, N = 3 3436.63 3112.17 3069.17 3094.40 3049.43 2521.24 3057.21 2249.65 2616.75 2832.36 2612.89 3607.20 1701.71 2902.87 2652.66 2320.51 2658.82 3132.86 2211.14 2514.98 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 600 1200 1800 2400 3000 Min: 3434.39 / Avg: 3436.63 / Max: 3439.46 Min: 3112.04 / Avg: 3112.17 / Max: 3112.26 Min: 3065.99 / Avg: 3069.17 / Max: 3074.55 Min: 3092.13 / Avg: 3094.4 / Max: 3096.1 Min: 3045.64 / Avg: 3049.43 / Max: 3052.79 Min: 1656.97 / Avg: 2521.24 / Max: 3111.49 Min: 3049.05 / Avg: 3057.21 / Max: 3070.3 Min: 1645.77 / Avg: 2249.65 / Max: 2724.44 Min: 1736.48 / Avg: 2616.75 / Max: 3063.37 Min: 1753.8 / Avg: 2832.36 / Max: 3548.23 Min: 1626.06 / Avg: 2612.89 / Max: 3108.82 Min: 3584.25 / Avg: 3607.2 / Max: 3624.86 Min: 1681.92 / Avg: 1701.71 / Max: 1741.04 Min: 2892.68 / Avg: 2902.87 / Max: 2916.64 Min: 1661.91 / Avg: 2652.66 / Max: 3150.08 Min: 2016.82 / Avg: 2320.51 / Max: 2800.33 Min: 2445.92 / Avg: 2658.82 / Max: 2893.01 Min: 3119.77 / Avg: 3132.86 / Max: 3143.35 Min: 1922.03 / Avg: 2211.14 / Max: 2597.38 Min: 1700.09 / Avg: 2514.98 / Max: 3114.09 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 300 600 900 1200 1500 SE +/- 3.54, N = 3 SE +/- 3.28, N = 3 SE +/- 1.27, N = 3 SE +/- 1.62, N = 3 SE +/- 0.49, N = 3 SE +/- 68.19, N = 3 SE +/- 4.96, N = 3 SE +/- 71.13, N = 3 SE +/- 81.52, N = 3 SE +/- 82.02, N = 3 SE +/- 75.65, N = 3 SE +/- 1.04, N = 3 SE +/- 47.01, N = 3 SE +/- 2.18, N = 3 SE +/- 81.65, N = 3 SE +/- 20.11, N = 3 SE +/- 4.60, N = 3 SE +/- 3.55, N = 3 SE +/- 64.65, N = 3 SE +/- 82.14, N = 3 1114.68 1021.83 1008.78 1018.42 1002.31 942.29 1000.90 894.15 929.80 1079.45 936.27 1175.98 848.08 964.85 952.81 955.20 960.86 1029.57 901.96 947.33 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 200 400 600 800 1000 Min: 1110.44 / Avg: 1114.68 / Max: 1121.72 Min: 1015.81 / Avg: 1021.83 / Max: 1027.1 Min: 1006.3 / Avg: 1008.78 / Max: 1010.53 Min: 1015.67 / Avg: 1018.42 / Max: 1021.29 Min: 1001.8 / Avg: 1002.31 / Max: 1003.3 Min: 806.83 / Avg: 942.29 / Max: 1023.79 Min: 993.83 / Avg: 1000.9 / Max: 1010.46 Min: 752.08 / Avg: 894.15 / Max: 971.61 Min: 766.8 / Avg: 929.8 / Max: 1014.44 Min: 915.99 / Avg: 1079.45 / Max: 1173.22 Min: 785.84 / Avg: 936.27 / Max: 1025.47 Min: 1174.88 / Avg: 1175.98 / Max: 1178.07 Min: 785.58 / Avg: 848.08 / Max: 940.15 Min: 961.16 / Avg: 964.85 / Max: 968.71 Min: 789.57 / Avg: 952.81 / Max: 1038.11 Min: 915.2 / Avg: 955.2 / Max: 978.93 Min: 954.7 / Avg: 960.86 / Max: 969.85 Min: 1025.21 / Avg: 1029.57 / Max: 1036.6 Min: 772.85 / Avg: 901.96 / Max: 972.66 Min: 783.13 / Avg: 947.33 / Max: 1033.92 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 50 100 150 200 250 SE +/- 0.67, N = 3 SE +/- 1.61, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 SE +/- 0.18, N = 3 SE +/- 48.53, N = 3 SE +/- 0.21, N = 3 SE +/- 45.74, N = 3 SE +/- 51.82, N = 3 SE +/- 59.48, N = 3 SE +/- 48.56, N = 3 SE +/- 0.41, N = 3 SE +/- 0.55, N = 3 SE +/- 4.10, N = 3 SE +/- 47.26, N = 3 SE +/- 2.94, N = 3 SE +/- 45.94, N = 3 SE +/- 0.43, N = 3 SE +/- 46.05, N = 3 SE +/- 50.46, N = 3 238.95 220.75 218.05 219.29 217.61 136.32 217.13 138.46 155.45 165.44 136.16 246.84 59.16 208.87 142.76 215.39 177.20 222.53 153.02 152.26 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 40 80 120 160 200 Min: 237.63 / Avg: 238.95 / Max: 239.78 Min: 217.94 / Avg: 220.75 / Max: 223.53 Min: 217.48 / Avg: 218.05 / Max: 218.65 Min: 218.94 / Avg: 219.29 / Max: 219.97 Min: 217.32 / Avg: 217.61 / Max: 217.93 Min: 52.37 / Avg: 136.32 / Max: 220.49 Min: 216.85 / Avg: 217.13 / Max: 217.53 Min: 50.36 / Avg: 138.46 / Max: 203.87 Min: 52.37 / Avg: 155.45 / Max: 216.32 Min: 59.02 / Avg: 165.44 / Max: 264.68 Min: 52.74 / Avg: 136.16 / Max: 220.93 Min: 246.02 / Avg: 246.84 / Max: 247.31 Min: 58.56 / Avg: 59.16 / Max: 60.27 Min: 201.85 / Avg: 208.87 / Max: 216.06 Min: 54.01 / Avg: 142.76 / Max: 215.31 Min: 210.51 / Avg: 215.39 / Max: 220.66 Min: 85.34 / Avg: 177.2 / Max: 224.62 Min: 221.98 / Avg: 222.53 / Max: 223.37 Min: 62.31 / Avg: 153.02 / Max: 212.16 Min: 53.81 / Avg: 152.26 / Max: 220.66 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 100 200 300 400 500 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.77, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 1.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.89, N = 3 SE +/- 1.09, N = 3 SE +/- 0.18, N = 3 SE +/- 1.02, N = 3 SE +/- 0.62, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.69, N = 3 SE +/- 0.06, N = 3 SE +/- 0.49, N = 3 SE +/- 0.09, N = 3 SE +/- 0.68, N = 3 SE +/- 0.56, N = 3 448.29 405.99 400.21 404.44 400.05 407.18 399.98 388.80 400.85 471.25 407.11 472.22 401.44 381.50 412.61 387.79 386.77 412.22 386.81 406.62 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 80 160 240 320 400 Min: 447.96 / Avg: 448.29 / Max: 448.52 Min: 405.84 / Avg: 405.99 / Max: 406.14 Min: 399.12 / Avg: 400.21 / Max: 401.69 Min: 404.16 / Avg: 404.44 / Max: 404.59 Min: 400 / Avg: 400.05 / Max: 400.1 Min: 406.1 / Avg: 407.18 / Max: 409.25 Min: 399.65 / Avg: 399.98 / Max: 400.19 Min: 387.76 / Avg: 388.8 / Max: 390.57 Min: 399.66 / Avg: 400.85 / Max: 403.02 Min: 470.9 / Avg: 471.25 / Max: 471.48 Min: 406.04 / Avg: 407.11 / Max: 409.16 Min: 471 / Avg: 472.22 / Max: 472.99 Min: 401.15 / Avg: 401.44 / Max: 401.7 Min: 381.38 / Avg: 381.5 / Max: 381.69 Min: 411.86 / Avg: 412.61 / Max: 413.98 Min: 387.7 / Avg: 387.79 / Max: 387.9 Min: 386.19 / Avg: 386.77 / Max: 387.75 Min: 412.13 / Avg: 412.22 / Max: 412.39 Min: 386.05 / Avg: 386.81 / Max: 388.17 Min: 405.99 / Avg: 406.62 / Max: 407.74 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 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K SE +/- 14.97, N = 5 SE +/- 15.47, N = 5 SE +/- 27.85, N = 5 SE +/- 145.28, N = 5 SE +/- 26.54, N = 5 SE +/- 18.59, N = 5 SE +/- 12.35, N = 5 SE +/- 4.03, N = 5 SE +/- 31.32, N = 5 SE +/- 17.48, N = 5 SE +/- 29.22, N = 5 SE +/- 27.65, N = 5 SE +/- 18.47, N = 5 SE +/- 95.95, N = 5 SE +/- 16.43, N = 5 SE +/- 8.29, N = 5 SE +/- 44.14, N = 5 SE +/- 18.90, N = 5 SE +/- 17.33, N = 5 SE +/- 9.61, N = 5 95753.8 86951.1 97473.2 96867.4 98124.1 87137.3 88008.9 56973.5 96255.6 89222.7 86940.2 99400.2 98566.4 86384.2 87010.8 55485.1 56552.7 89746.0 55696.1 87013.3 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K Min: 95708.5 / Avg: 95753.82 / Max: 95792.3 Min: 86894.1 / Avg: 86951.12 / Max: 86978.2 Min: 97374.9 / Avg: 97473.24 / Max: 97525.9 Min: 96350.6 / Avg: 96867.36 / Max: 97091.3 Min: 98047.4 / Avg: 98124.06 / Max: 98175.5 Min: 87066.9 / Avg: 87137.32 / Max: 87168.7 Min: 87976.2 / Avg: 88008.86 / Max: 88050.9 Min: 56958.2 / Avg: 56973.52 / Max: 56980.1 Min: 96153.7 / Avg: 96255.6 / Max: 96319.3 Min: 89186 / Avg: 89222.66 / Max: 89285.6 Min: 86849.1 / Avg: 86940.18 / Max: 87029.3 Min: 99329.3 / Avg: 99400.16 / Max: 99494.2 Min: 98509.9 / Avg: 98566.42 / Max: 98618.9 Min: 86095.1 / Avg: 86384.16 / Max: 86677.1 Min: 86947.4 / Avg: 87010.8 / Max: 87038.3 Min: 55463.1 / Avg: 55485.12 / Max: 55514.5 Min: 56402.9 / Avg: 56552.7 / Max: 56673.4 Min: 89676.2 / Avg: 89746.04 / Max: 89780.1 Min: 55667.7 / Avg: 55696.1 / Max: 55762 Min: 86981.9 / Avg: 87013.34 / Max: 87042.1 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K SE +/- 17.47, N = 5 SE +/- 4.01, N = 5 SE +/- 44.59, N = 5 SE +/- 25.27, N = 5 SE +/- 25.19, N = 5 SE +/- 17.41, N = 5 SE +/- 12.51, N = 5 SE +/- 6.04, N = 5 SE +/- 56.50, N = 5 SE +/- 30.39, N = 5 SE +/- 30.03, N = 5 SE +/- 26.38, N = 5 SE +/- 12.33, N = 5 SE +/- 72.45, N = 5 SE +/- 14.74, N = 5 SE +/- 6.90, N = 5 SE +/- 31.07, N = 5 SE +/- 18.22, N = 5 SE +/- 12.57, N = 5 SE +/- 25.28, N = 5 96608.3 87289.2 98556.1 98142.0 99219.5 87431.1 88384.1 56930.3 96936.0 89542.3 87264.6 100472.4 99680.8 86874.0 87290.0 55554.4 56700.0 90094.8 55803.3 87319.2 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K Min: 96567.9 / Avg: 96608.26 / Max: 96668.9 Min: 87276 / Avg: 87289.18 / Max: 87301 Min: 98388.6 / Avg: 98556.06 / Max: 98643.1 Min: 98063.6 / Avg: 98142.04 / Max: 98195.6 Min: 99181.5 / Avg: 99219.46 / Max: 99317.5 Min: 87364.6 / Avg: 87431.12 / Max: 87463.3 Min: 88351.5 / Avg: 88384.12 / Max: 88427.6 Min: 56912.4 / Avg: 56930.26 / Max: 56947.5 Min: 96848.4 / Avg: 96936.04 / Max: 97157.8 Min: 89428.4 / Avg: 89542.34 / Max: 89605.9 Min: 87180.8 / Avg: 87264.58 / Max: 87339.6 Min: 100414.3 / Avg: 100472.42 / Max: 100561.7 Min: 99646.9 / Avg: 99680.84 / Max: 99709.1 Min: 86636.8 / Avg: 86874.04 / Max: 87045.1 Min: 87238.2 / Avg: 87289.96 / Max: 87329.8 Min: 55541.4 / Avg: 55554.36 / Max: 55572.4 Min: 56629.4 / Avg: 56699.96 / Max: 56804.8 Min: 90053.2 / Avg: 90094.84 / Max: 90158.1 Min: 55754.3 / Avg: 55803.34 / Max: 55821.7 Min: 87260.1 / Avg: 87319.2 / Max: 87406.4 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 20K 40K 60K 80K 100K SE +/- 8.10, N = 5 SE +/- 35.41, N = 5 SE +/- 50.29, N = 5 SE +/- 88.18, N = 5 SE +/- 51.61, N = 5 SE +/- 20.95, N = 5 SE +/- 33.32, N = 5 SE +/- 17.43, N = 5 SE +/- 33.78, N = 5 SE +/- 60.32, N = 5 SE +/- 34.50, N = 5 SE +/- 97.97, N = 5 SE +/- 19.39, N = 5 SE +/- 107.49, N = 5 SE +/- 22.40, N = 5 SE +/- 12.22, N = 5 SE +/- 45.85, N = 5 SE +/- 26.46, N = 5 SE +/- 26.50, N = 5 SE +/- 18.84, N = 5 87569.0 79087.5 88346.1 87987.8 89250.4 79498.2 80191.9 52916.0 87456.3 81891.4 78981.2 91285.9 90222.2 78936.4 78989.7 51214.0 52614.3 82753.0 51795.4 79082.1 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7232P EPYC 7552 EPYC 7F32 EPYC 7452 EPYC 7F52 EPYC 7532 EPYC 7352 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7502 16K 32K 48K 64K 80K Min: 87542.1 / Avg: 87569.02 / Max: 87590 Min: 78996.2 / Avg: 79087.5 / Max: 79204.1 Min: 88183.9 / Avg: 88346.14 / Max: 88465.3 Min: 87752.7 / Avg: 87987.76 / Max: 88246.6 Min: 89101.9 / Avg: 89250.36 / Max: 89401 Min: 79424.4 / Avg: 79498.2 / Max: 79534.5 Min: 80111.8 / Avg: 80191.92 / Max: 80273.8 Min: 52874.9 / Avg: 52915.96 / Max: 52971.3 Min: 87379.1 / Avg: 87456.34 / Max: 87579.8 Min: 81779.2 / Avg: 81891.38 / Max: 82097.4 Min: 78875.5 / Avg: 78981.18 / Max: 79054.8 Min: 90897.7 / Avg: 91285.88 / Max: 91424 Min: 90166.2 / Avg: 90222.16 / Max: 90277.7 Min: 78534.9 / Avg: 78936.38 / Max: 79176.1 Min: 78922.8 / Avg: 78989.74 / Max: 79043.7 Min: 51177 / Avg: 51214 / Max: 51245.7 Min: 52481.3 / Avg: 52614.34 / Max: 52732.4 Min: 82700.4 / Avg: 82753.02 / Max: 82849.4 Min: 51724.9 / Avg: 51795.42 / Max: 51860.4 Min: 79043.7 / Avg: 79082.08 / Max: 79153.7 1. (CC) gcc options: -O3 -march=native -fopenmp
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.
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.