Xeon Cascade Lake Refresh vs. AMD EPYC Rome Linux Benchmarks

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2004100-NI-XEONEPYC951
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
Xeon Silver 4216
March 30 2020
  6 Hours, 53 Minutes
2 x Xeon Silver 4216
March 31 2020
  5 Hours, 19 Minutes
Xeon Gold 5218
March 29 2020
  6 Hours, 28 Minutes
Xeon Gold 5220R
March 27 2020
  5 Hours, 38 Minutes
2 x Xeon Gold 5220R
March 26 2020
  5 Hours, 6 Minutes
Xeon Gold 6226R
March 30 2020
  5 Hours, 22 Minutes
2 x Xeon Gold 6226R
March 31 2020
  5 Hours, 4 Minutes
Xeon Platinum 8280
March 28 2020
  4 Hours, 22 Minutes
2 x Xeon Platinum 8280
March 28 2020
  4 Hours, 22 Minutes
EPYC 7302P
April 01 2020
  4 Hours, 37 Minutes
EPYC 7502P
April 01 2020
  3 Hours, 52 Minutes
2 x EPYC 7252
April 07 2020
  5 Hours, 59 Minutes
2 x EPYC 7272
April 03 2020
  5 Hours, 40 Minutes
2 x EPYC 7302
April 10 2020
  6 Hours, 5 Minutes
2 x EPYC 7352
April 09 2020
  5 Hours, 12 Minutes
2 x EPYC 7532
April 09 2020
  4 Hours, 24 Minutes
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  5 Hours, 16 Minutes

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Xeon Cascade Lake Refresh vs. AMD EPYC Rome Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionXeon Silver 42162 x Xeon Silver 4216Xeon Gold 5218Xeon Gold 5220R2 x Xeon Gold 5220RXeon Gold 6226R2 x Xeon Gold 6226RXeon Platinum 82802 x Xeon Platinum 8280EPYC 7302PEPYC 7502P2 x EPYC 72522 x EPYC 72722 x EPYC 73022 x EPYC 73522 x EPYC 7532Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers6 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM280GB INTEL SSDPED1D280GAASPEED3 x VE2282 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 20.045.4.0-18-generic (x86_64)GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.7GCC 9.3.0ext41920x10802 x Intel Xeon Silver 4216 @ 3.20GHz (32 Cores / 64 Threads)12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM6 x VE228Intel Xeon Gold 5218 @ 3.90GHz (16 Cores / 32 Threads)6 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM2 x VE228Intel Xeon Gold 5220R @ 3.90GHz (18 Cores / 36 Threads)VE2281024x7682 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads)12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM1920x1080Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads)6 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM4 x VE2282 x Intel Xeon Gold 6226R @ 3.90GHz (32 Cores / 64 Threads)12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM5 x VE228Intel Xeon Platinum 8280 @ 4.00GHz (28 Cores / 56 Threads)6 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WMVE2281024x7682 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WMAMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads)AMD DAYTONA_X (RDY1006G BIOS)AMD Starship/Matisse8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2280GB INTEL SSDPE21D280GA2 x VE2282 x Mellanox MT277105.4.0-21-generic (x86_64)1920x1080AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads)VE2282 x AMD EPYC 7252 8-Core @ 3.10GHz (16 Cores / 32 Threads)16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E25 x VE2282 x AMD EPYC 7272 12-Core @ 2.90GHz (24 Cores / 48 Threads)4 x VE2282 x AMD EPYC 7302 16-Core @ 3.00GHz (32 Cores / 64 Threads)9 x VE2282 x AMD EPYC 7352 24-Core @ 2.30GHz (48 Cores / 96 Threads)8 x VE2282 x AMD EPYC 7532 32-Core @ 2.40GHz (64 Cores / 128 Threads)llvmpipe 504GB7 x VE228OpenBenchmarking.orgCompiler Details- 2 x Xeon Silver 4216, Xeon Gold 5218, Xeon Gold 5220R, 2 x Xeon Gold 5220R, Xeon Gold 6226R, 2 x Xeon Gold 6226R, Xeon Platinum 8280, 2 x Xeon Platinum 8280, EPYC 7302P, EPYC 7502P, 2 x EPYC 7252, 2 x EPYC 7272, 2 x EPYC 7302, 2 x EPYC 7352, 2 x EPYC 7532: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Details- 2 x Xeon Silver 4216: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Xeon Gold 5218: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Xeon Gold 5220R: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- 2 x Xeon Gold 5220R: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Xeon Gold 6226R: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- 2 x Xeon Gold 6226R: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Xeon Platinum 8280: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- 2 x Xeon Platinum 8280: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- EPYC 7302P: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- EPYC 7502P: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- 2 x EPYC 7252: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- 2 x EPYC 7272: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- 2 x EPYC 7302: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- 2 x EPYC 7352: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- 2 x EPYC 7532: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034Python Details- 2 x Xeon Silver 4216, Xeon Gold 5218, Xeon Gold 5220R, 2 x Xeon Gold 5220R, Xeon Gold 6226R, 2 x Xeon Gold 6226R, Xeon Platinum 8280, 2 x Xeon Platinum 8280, EPYC 7302P, EPYC 7502P, 2 x EPYC 7252, 2 x EPYC 7272, 2 x EPYC 7302, 2 x EPYC 7352, 2 x EPYC 7532: + Python 3.8.2Security Details- 2 x Xeon Silver 4216: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- Xeon Gold 5218: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- Xeon Gold 5220R: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- 2 x Xeon Gold 5220R: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- Xeon Gold 6226R: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- 2 x Xeon Gold 6226R: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- Xeon Platinum 8280: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- 2 x Xeon Platinum 8280: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled- EPYC 7302P: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected- EPYC 7502P: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected- 2 x EPYC 7252: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected- 2 x EPYC 7272: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected- 2 x EPYC 7302: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected- 2 x EPYC 7352: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected- 2 x EPYC 7532: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Xeon Silver 42162 x Xeon Silver 4216Xeon Gold 5218Xeon Gold 5220R2 x Xeon Gold 5220RXeon Gold 6226R2 x Xeon Gold 6226RXeon Platinum 82802 x Xeon Platinum 8280EPYC 7302PEPYC 7502P2 x EPYC 72522 x EPYC 72722 x EPYC 73022 x EPYC 73522 x EPYC 7532Logarithmic Result OverviewPhoronix Test SuiteMKL-DNN DNNLLuxCoreRenderOSPrayJohn The RipperBlenderStockfishNAMDEmbreeLAMMPS Molecular Dynamics SimulatorIntel Open Image DenoiseasmFishChaos Group V-RAYNAS Parallel BenchmarksBasis UniversalPostgreSQL pgbenchIntel MPI BenchmarksHigh Performance Conjugate GradientTimed Linux Kernel Compilationdav1dTimed LLVM CompilationSVT-AV1Timed MrBayes AnalysisAppleseedTungsten RendererArrayFireDeepSpeechBuild2Mlpack BenchmarkRadiance BenchmarkHimeno BenchmarkScikit-LearnNettlePyPerformancePHPBenchNumpy BenchmarkPyBench

Xeon Cascade Lake Refresh vs. AMD EPYC Rome Linux Benchmarksmkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_3d - f32ospray: Magnetic Reconnection - SciVismkl-dnn: Convolution Batch conv_all - bf16bf16bf16npb: EP.Dospray: NASA Streamlines - Path Tracernpb: EP.Cblender: Classroom - CPU-Onlyjohn-the-ripper: MD5ospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisluxcorerender: Rainbow Colors and Prismmkl-dnn: Deconvolution Batch deconv_3d - u8s8f32luxcorerender: DLSCblender: Pabellon Barcelona - CPU-Onlyospray: San Miguel - SciVisembree: Pathtracer ISPC - Crownospray: San Miguel - Path Tracerembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objmkl-dnn: Deconvolution Batch deconv_1d - f32stockfish: Total Timenamd: ATPase Simulation - 327,506 Atomsblender: BMW27 - CPU-Onlyjohn-the-ripper: Blowfishlammps: Rhodopsin Proteinembree: Pathtracer - Crownoidn: Memorialblender: Fishy Cat - CPU-Onlyasmfish: 1024 Hash Memory, 26 Depthv-ray: CPUembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objblender: Barbershop - CPU-Onlytungsten: Hairbasis: UASTC Level 3npb: LU.Cmkl-dnn: IP Batch 1D - f32pgbench: Buffer Test - Normal Load - Read Onlyintel-mpi: IMB-P2P PingPongnpb: BT.Chpcg: svt-av1: Enc Mode 8 - 1080pdav1d: Summer Nature 1080pbuild-linux-kernel: Time To Compiledav1d: Chimera 1080p 10-bitbuild-llvm: Time To Compilemrbayes: Primate Phylogeny Analysisdav1d: Summer Nature 4Kappleseed: Emilysvt-av1: Enc Mode 4 - 1080popenvkl: vklBenchmarkarrayfire: Conjugate Gradient CPUarrayfire: BLAS CPUdeepspeech: CPUmlpack: scikit_linearridgeregressionbuild2: Time To Compilemlpack: scikit_icanettle: chachanettle: poly1305-aesmlpack: scikit_svmnettle: aes256radiance: SMP Parallelpyperformance: django_templatehimeno: Poisson Pressure Solverscikit-learn: pyperformance: floatphpbench: PHP Benchmark Suitetungsten: Water Causticpyperformance: regex_compileopenvkl: vklBenchmarkStructuredVolumeembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crownembree: Pathtracer - Asian Dragon Objnumpy: nettle: sha512embree: Pathtracer - Asian Dragonpybench: Total For Average Test Timesembree: Pathtracer ISPC - Asian Dragon Objoidn: Memorialopenvkl: vklBenchmarkVdbVolumeXeon Silver 42162 x Xeon Silver 4216Xeon Gold 5218Xeon Gold 5220R2 x Xeon Gold 5220RXeon Gold 6226R2 x Xeon Gold 6226RXeon Platinum 82802 x Xeon Platinum 8280EPYC 7302PEPYC 7502P2 x EPYC 72522 x EPYC 72722 x EPYC 73022 x EPYC 73522 x EPYC 7532395.441171.4287.6364617.9410258.01571.493.411545.50432.1118933332.341.3118.181.887457.861.77531.3914.7111.38271.4015.591113.49185.31087311745761.51721149.02204247.81012.431612.85229.71350854961710515.279613.8827593.1323.612958.24646723.015.16658313376.7799178923779.550724646389.7911.888326.460232.3571.77050.10531.152193.466132.46345.3899613.3097.819765.491135.997442.97109.69981.36837.6122291.6920.895024.39299.73957.52823.59536412.03013751569728.8979204272.12399.991342197.91487.54343.8551232.535156.693144.706.622984.02218.0637640004.572.5534.483.653849.133.43272.7227.8421.74682.6328.973225.06783.06590605696960.7698278.724102114.16123.267420.43125.35668958102759228.203225.4971333.4013.603134.63285606.532.66699501697.23823117176230.53623265509.9823.157440.548272.5545.31559.51347.827194.504159.60222.9685144.21616.921497.75133.011602.9986.32594.45841.6492294.7421.095061.60281.25157.52817.67305312.54913751996427.3948204262.78401.131343298.300131.0885.8042022.2210255.21635.784.371621.48433.4219126673.011.6823.261.887189.031.74531.9818.8714.41631.7519.432116.76853.99488324243321.51168149.39214038.15812.388215.80229.28365618171698115.310413.8526589.0722.486655.20948143.494.75696322051.6311879066471.043478348617.0513.013827.193265.4667.15655.88501.218147.734136.86328.1391333.3397.0421002.09128.406922.46101.71668.781024.4932798.5617.986164.79241.89747.23405.03589710.28611463245525.9635167315.14489.511101244.745108.1614.8896627.037839.951966.615.381863.15328.8125060003.702.0628.572.486072.572.32404.7823.2617.66042.1423.604220.34183.36432381673261.15745113.30255479.53516.051418.41175.95432179392188619.610517.7957456.4718.984046.70856744.874.49985383120.69050910276849.52173950787.7913.352933.088274.9859.01258.05430.426134.483160.59284.279744.2856.4091201.54126.078012.2591.64168.191020.0932779.7817.826133.91242.51547.13398.39745510.11211462969025.0080168313.76485.861114122.76154.81902.6970047.623917.523780.5910.423768.66165.9648210007.193.9855.564.463112.364.44208.3043.4833.44693.9543.098337.14982.12680742358290.6033360.675132417.37829.515327.9798.24855018514027035.875732.3301260.5611.072627.981108883.402.23009598798.57132419650424.333333100761.2925.630349.209321.8436.69970.81286.782134.928177.89180.6457975.3029.8982359.13125.118632.3972.15177.411024.9752797.2217.926159.21230.56147.33404.69086110.45811363128323.3367167300.73489.151100155.36869.14313.1300625.485709.172094.535.522044.24321.5325830003.682.0229.412.515864.262.35400.9622.6916.80992.0222.459819.32282.23126397762921.13586111.822712610.32515.994322.01173.95446149252207419.347217.4223453.2218.612944.94358594.504.41366376860.31861510620968.60869556576.1213.958134.636307.7557.77262.32433.191123.702170.07276.7686544.3406.4512137.03119.787171.9388.97761.821024.9922795.4917.926161.42242.00247.33401.1571359.92411563243124.0874168318.87488.81110381.140036.37161.7074945.452871.113969.6010.564005.26163.3249776677.093.8855.564.322987.084.5183207.4142.2731.73183.7140.432534.80301.49724752037290.5823759.455348518.15028.960233.0696.41838945143474934.691931.3117257.0110.665327.226106268.332.18975587882.23269920467429.52173977470.6726.591051.710358.6236.59573.95279.682124.258203.10177.6611485.4317.1553912.30123.387022.0870.60874.631025.3842797.4317.776157.49233.04247.13410.38393810.44911363260123.1916167304.16489.42110494.193742.07581.9627942.873497.473283.389.493194.18198.2540900006.253.46504.113716.983.79246.3138.4628.77303.5238.310033.04901.46232628913120.7070969.804286415.31426.280031.10110.67687620753471032.247429.2061287.8012.686330.68974255.672.39451560887.76669616653864.76811671842.3414.909751.917323.2040.89865.40308.741128.848199.08197.6495056.0304.1153432.16118.093771.6774.11867.361051.1112867.4817.196313.1623546.23510.2051599.12710964916422.0167164330.33501.98107649.843723.17721.1360871.431766.356284.6518.186104.94100.47788000012.056.6790.917.151893.727.19129.0169.5253.23046.5368.424158.69451.240291197157950.3622638.798408424.78845.612134.4966.391338398966433157.487051.7853187.337.8270619.885140090.321.63986909916.49008631821690.550725136046.5328.854256.982409.8827.30985.14221.515129.986221.31154.9807527.0337.4813430.28122.224681.8262.77663.351051.9362868.6917.196320.00226.07645.93514.6041069.39210964969321.5896164321.82500.981073233.04699.03464.6672914.081189.986.091187.92270.7515270004.012.1429.412.855477.952.67343.6920.9116.12901.6518.966016.43363.88662418940701.26537101.77223176.54716.957910.56148.39422362232357718.938217.0713408.8716.707939.48458479.593.65129343164.8403752025941.069444550117.8914.350030.740435.6952.96391.68385.46485.040196.28266.5838843.54336.30385.86879.413372.0883.01161.32748.6842041.0115.054634.44215.31959.93852.93165810.81913951135326.0624208315.52476.771173137.10658.67003.7025725.642370.0410.422361.48158.0226740006.853.64505.042960.074.55202.4635.8228.82902.9734.627530.12462.49777755145430.7387362.76435938.69630.136315.0991.81784206603753434.549531.4626249.6510.580225.14273641.982.57160576329.5088553562419.555555660515.8615.105646.903547.0837.014110.71287.12793.639260.52176.5933354.98435.66632.50175.067291.8171.55868.91760.2122072.8514.764727.65218.47659.33883.47513610.61813752653723.0924203314.28484.241155237.902104.6414.7849911.241154.185.401152.67269.8814966673.651.9424.392.845653.282.62346.4918.4113.96041.4015.479113.44904.07401372880651.28790102.38214996.09414.69958.69154.23382243452081715.593013.9941455.4117.187740.86660944.503.78030293576.8399301486726.097222251383.4415.761928.842399.1754.27086.22400.47787.937169.42296.2326133.448172.9154.53379.38389.124172.2185.55769.11726.1891980.2815.524513.43230.50362.43705.35173711.22414449362428.508321556107542.792793306.25462.54120812534605.674242179.76778.01733.5881416.391729.947.81251720.66190.0221626675.232.7835.714.053797.043.59243.0326.5520.57142.0823.022819.88933.49214563291950.9067473.50323936.66821.617612.60110.86570838742934422.861020.7337320.1412.560130.12977169.323.06606434370.5045681892211.601851851917.5717.228143.452496.4442.83997.58327.01487.878223.20232.775354.17861.27522.53888.316272.1477.44675.91725.8821980.4516.174513.84225.71962.63643.54676111.49614449727326.4166212306.36462.001216130.27659.91343.4297321.742378.6510.532362.43139.1029466677.093.7947.445.382742.545.03182.0835.3027.74502.8330.517126.41022.70701761863630.6602455.25418868.28229.218515.9886.03756013643569030.409127.4687243.329.8855824.02198171.952.47718493577.8542412028229.361111175121.5927.453647.346533.1234.327109.98264.63186.569240.37190.2297474.719307.5361.00585.59685.808142.1568.97676.04749.6042042.1715.834657.48220.81859.83774.88207211.05313951059924.616320872351924.67567630.863328.676230.202528.6260317.99476.8031.9119116727.402317.2615452697.931818110.19450.61572.5776428.313268.2113.163111.25112.1636680008.854.7856.376.782128.066.04150.8842.8735.62043.6938.948833.69402.76945973549850.5403847.23601466.78237.460719.8075.451013384444786639.400335.2143206.098.7449821.058112998.012.52651585293.2404612019790.569444476616.9928.400748.844566.8530.876125.03248.568102.291261.12188.3064135.653361.3141.15477.30283.043452.2970.28770.28714.4611952.3316.504445.94232.163.43647.33358111.53114648524325.358921670983017.02702739.444636.524738.402336.1352296.14455.3640.0432123034.237421.3515225641.59848578.126039.82102.5341838.464556.7817.864500.1182.13501100011.906.4176.929.321532.788.35111.9158.8247.88625.0251.967645.12522.388431309757140.3989335.86837376.33650.321324.8460.111334498105952952.288147.1117171.386.8454917.340156257.792.27357855210.4255082030305.886163.0033.920774.049649.4525.983137.12217.74397.780296.06176.2257096.68831.82611.42078.482931.9564.69365.60748.5752041.9417.234652.83221.28260.83783.18104110.91313951575824.4033210307.69476.651170OpenBenchmarking.org

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725290180270360450SE +/- 0.95, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 1.22, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.78, N = 15SE +/- 0.98, N = 3SE +/- 1.68, N = 3SE +/- 1.78, N = 3SE +/- 0.26, N = 3395.4494.19155.37244.75298.30137.11233.05197.9149.8481.14122.7678.13110.19130.28179.77237.90MIN: 390.56MIN: 93.73MIN: 154.79MIN: 242.31MIN: 297.84MIN: 132.8MIN: 230.71MIN: 195.97MIN: 48.76MIN: 79.72MIN: 121.68MIN: 70.6MIN: 103.89MIN: 123.86MIN: 173.07MIN: 230.851. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72524080120160200SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 3SE +/- 0.91, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.46, N = 12SE +/- 0.73, N = 6SE +/- 0.72, N = 12SE +/- 0.09, N = 3171.4342.0869.14108.16131.0958.6799.0387.5423.1836.3754.8239.8250.6259.9178.02104.64MIN: 170.75MIN: 41.31MIN: 68.48MIN: 106.43MIN: 130.56MIN: 56.69MIN: 94.31MIN: 86.64MIN: 22MIN: 34.65MIN: 54.08MIN: 35.78MIN: 42.41MIN: 53.4MIN: 69.39MIN: 99.151. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252246810SE +/- 0.01443, N = 3SE +/- 0.00032, N = 3SE +/- 0.00634, N = 3SE +/- 0.01927, N = 3SE +/- 0.01731, N = 3SE +/- 0.00653, N = 3SE +/- 0.00876, N = 3SE +/- 0.00590, N = 3SE +/- 0.00373, N = 3SE +/- 0.00200, N = 3SE +/- 0.00092, N = 3SE +/- 0.05010, N = 15SE +/- 0.04373, N = 3SE +/- 0.01386, N = 3SE +/- 0.02169, N = 3SE +/- 0.02782, N = 37.636461.962793.130064.889665.804203.702574.667293.855121.136081.707492.697002.534182.577643.429733.588144.78499MIN: 7.57MIN: 1.95MIN: 3.1MIN: 4.84MIN: 5.77MIN: 3.32MIN: 4.44MIN: 3.82MIN: 1.67MIN: 2.66MIN: 2.08MIN: 2.34MIN: 3.16MIN: 3.37MIN: 4.461. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

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.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521632486480SE +/- 0.08, N = 4SE +/- 0.60, N = 3SE +/- 0.16, N = 4SE +/- 0.00, N = 12SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.00, N = 12SE +/- 0.27, N = 4SE +/- 0.00, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.26, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 1217.9442.8725.4827.0322.2225.6414.0832.5371.4345.4547.6238.4628.3121.7416.3911.24MIN: 16.95 / MAX: 18.18MIN: 38.46 / MAX: 43.48MIN: 24.39 / MAX: 25.64MIN: 24.39MIN: 21.28MIN: 25 / MAX: 26.32MIN: 13.7 / MAX: 14.29MIN: 14.93 / MAX: 33.33MIN: 15.87 / MAX: 76.92MIN: 20MIN: 16.67 / MAX: 50MIN: 10.87 / MAX: 41.67MIN: 10.87 / MAX: 29.41MIN: 10.42 / MAX: 22.22MIN: 9.62 / MAX: 16.95MIN: 8.4 / MAX: 11.49

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 52182 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2K4K6K8K10KSE +/- 0.35, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 4.68, N = 3SE +/- 0.34, N = 3SE +/- 6.81, N = 3SE +/- 1.13, N = 3SE +/- 2.73, N = 3SE +/- 3.93, N = 310258.003497.475709.177839.9510255.205156.691766.352871.113917.52MIN: 10250.4MIN: 3490.41MIN: 5699.77MIN: 7795.37MIN: 10250.1MIN: 5142.07MIN: 1757.1MIN: 2860.81MIN: 3906.671. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725213002600390052006500SE +/- 6.21, N = 3SE +/- 46.76, N = 4SE +/- 8.86, N = 3SE +/- 6.98, N = 3SE +/- 4.92, N = 3SE +/- 8.01, N = 3SE +/- 0.84, N = 3SE +/- 2.84, N = 3SE +/- 148.86, N = 12SE +/- 124.07, N = 12SE +/- 54.90, N = 4SE +/- 24.68, N = 3SE +/- 1.03, N = 3SE +/- 0.27, N = 3SE +/- 1.65, N = 3SE +/- 0.35, N = 31571.493283.382094.531966.611635.782370.041189.983144.706284.653969.603780.594556.783268.212378.651729.941154.181. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3rc4

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.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725248121620SE +/- 0.0000, N = 15SE +/- 0.0299, N = 3SE +/- 0.0076, N = 4SE +/- 0.0000, N = 12SE +/- 0.0064, N = 3SE +/- 0.0000, N = 12SE +/- 0.0046, N = 8SE +/- 0.0000, N = 12SE +/- 0.0000, N = 12SE +/- 0.0373, N = 3SE +/- 0.0000, N = 12SE +/- 0.0000, N = 12SE +/- 0.0000, N = 12SE +/- 0.0000, N = 12SE +/- 0.0000, N = 3SE +/- 0.0097, N = 33.41009.49005.52005.38004.370010.42006.09006.620018.180010.560010.420017.860013.160010.53007.81255.4000MIN: 3.33 / MAX: 3.45MIN: 9.26 / MAX: 9.62MIN: 5.43 / MAX: 5.62MIN: 5.29 / MAX: 5.46MIN: 4.29 / MAX: 4.44MIN: 10.1 / MAX: 10.75MIN: 5.99 / MAX: 6.17MIN: 5.52 / MAX: 6.76MIN: 12.2 / MAX: 18.52MIN: 8.77 / MAX: 10.75MIN: 8.47 / MAX: 10.53MIN: 10.2 / MAX: 18.18MIN: 8.7 / MAX: 13.51MIN: 7.69 / MAX: 10.75MIN: 6.17 / MAX: 7.94MIN: 5.13 / MAX: 5.49

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725213002600390052006500SE +/- 19.04, N = 5SE +/- 44.67, N = 3SE +/- 34.91, N = 3SE +/- 2.92, N = 3SE +/- 2.61, N = 3SE +/- 4.94, N = 3SE +/- 0.15, N = 3SE +/- 38.56, N = 4SE +/- 88.25, N = 3SE +/- 38.41, N = 3SE +/- 32.92, N = 3SE +/- 56.51, N = 3SE +/- 27.30, N = 3SE +/- 0.96, N = 3SE +/- 0.94, N = 3SE +/- 0.29, N = 31545.503194.182044.241863.151621.482361.481187.922984.026104.944005.263768.664500.113111.252362.431720.661152.671. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3rc4

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Classroom - Compute: CPU-OnlyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725290180270360450SE +/- 0.20, N = 3SE +/- 0.36, N = 3SE +/- 0.16, N = 3SE +/- 0.39, N = 3SE +/- 0.29, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.19, N = 3SE +/- 0.26, N = 3SE +/- 0.52, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.36, N = 3SE +/- 0.44, N = 3SE +/- 0.82, N = 3432.11198.25321.53328.81433.42158.02270.75218.06100.47163.32165.9682.13112.16139.10190.02269.88

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72522M4M6M8M10MSE +/- 1452.97, N = 3SE +/- 14468.36, N = 3SE +/- 11015.14, N = 3SE +/- 6806.86, N = 3SE +/- 8171.77, N = 3SE +/- 1527.53, N = 3SE +/- 577.35, N = 3SE +/- 4509.25, N = 3SE +/- 67263.16, N = 3SE +/- 17032.65, N = 3SE +/- 9643.65, N = 3SE +/- 7371.11, N = 3SE +/- 7234.18, N = 3SE +/- 2333.33, N = 3SE +/- 4409.59, N = 3SE +/- 881.92, N = 31893333409000025830002506000191266726740001527000376400078800004977667482100050110003668000294666721626671496667-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72523691215SE +/- 0.00, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 6SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 6SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 7SE +/- 0.00, N = 62.346.253.683.703.016.854.014.5712.057.097.1911.908.857.095.233.65MIN: 2.3 / MAX: 2.36MIN: 6.13 / MAX: 6.29MIN: 3.64 / MAX: 3.7MIN: 3.66 / MAX: 3.73MIN: 2.98 / MAX: 3.05MIN: 6.76 / MAX: 6.99MIN: 3.97 / MAX: 4.05MIN: 4.08 / MAX: 4.61MIN: 9.71 / MAX: 12.2MIN: 6.37 / MAX: 7.14MIN: 6.45 / MAX: 7.25MIN: 7.75 / MAX: 12.05MIN: 7.46 / MAX: 9.01MIN: 5.49 / MAX: 7.19MIN: 4.83 / MAX: 5.29MIN: 3.32 / MAX: 3.7

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252246810SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 6SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 5SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.00, N = 51.313.462.022.061.683.642.142.556.673.883.986.414.783.792.781.94MIN: 1.3 / MAX: 1.32MIN: 3.41 / MAX: 3.47MIN: 2 / MAX: 2.04MIN: 2.04 / MAX: 2.07MIN: 1.67MIN: 3.61 / MAX: 3.68MIN: 2.12 / MAX: 2.16MIN: 2.28 / MAX: 2.57MIN: 5.85 / MAX: 6.76MIN: 3.57 / MAX: 3.92MIN: 3.64 / MAX: 4.02MIN: 5.43 / MAX: 6.49MIN: 4.33 / MAX: 4.83MIN: 3.37 / MAX: 3.85MIN: 2.58 / MAX: 2.81MIN: 1.85 / MAX: 1.96

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725220406080100SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 13SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.00, N = 12SE +/- 0.82, N = 4SE +/- 0.18, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 1218.1850.0029.4128.5723.2650.0029.4134.4890.9155.5655.5676.9256.3747.4435.7124.39MIN: 17.86 / MAX: 18.52MIN: 43.48MIN: 26.32MIN: 26.32 / MAX: 29.41MIN: 22.73 / MAX: 23.81MIN: 45.45 / MAX: 52.63MIN: 27.78MIN: 18.87 / MAX: 35.71MIN: 29.41MIN: 19.23MIN: 24.39MIN: 18.87 / MAX: 83.33MIN: 18.18 / MAX: 62.5MIN: 19.23 / MAX: 50MIN: 16.95 / MAX: 37.04MIN: 13.89 / MAX: 25.64

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72523691215SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.40, N = 15SE +/- 0.13, N = 15SE +/- 0.30, N = 12SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 9SE +/- 0.00, N = 3SE +/- 0.02, N = 31.884.112.512.481.885.042.853.657.154.324.469.326.785.384.052.84MIN: 1.84 / MAX: 1.92MIN: 3.96 / MAX: 4.16MIN: 2.44 / MAX: 2.56MIN: 2.4 / MAX: 2.53MIN: 1.85 / MAX: 1.92MIN: 4.92 / MAX: 5.22MIN: 2.79 / MAX: 2.9MIN: 3.56 / MAX: 3.67MIN: 2.92 / MAX: 8.11MIN: 2.71 / MAX: 4.87MIN: 1.23 / MAX: 4.91MIN: 8.8 / MAX: 9.55MIN: 6.42 / MAX: 6.89MIN: 4.91 / MAX: 5.61MIN: 3.94 / MAX: 4.08MIN: 2.76 / MAX: 2.87

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725216003200480064008000SE +/- 0.67, N = 3SE +/- 2.14, N = 3SE +/- 5.07, N = 3SE +/- 5.71, N = 3SE +/- 2.58, N = 3SE +/- 12.08, N = 3SE +/- 1.31, N = 3SE +/- 2.28, N = 3SE +/- 5.70, N = 3SE +/- 2.41, N = 3SE +/- 3.26, N = 3SE +/- 1.59, N = 3SE +/- 0.31, N = 3SE +/- 2.02, N = 3SE +/- 0.46, N = 3SE +/- 0.61, N = 37457.863716.985864.266072.577189.032960.075477.953849.131893.722987.083112.361532.782128.062742.543797.045653.28MIN: 7454.84MIN: 3705.72MIN: 5830.88MIN: 6048.56MIN: 7180.23MIN: 2928.91MIN: 5468.42MIN: 3842.7MIN: 1871.79MIN: 2977.12MIN: 3107.3MIN: 1522.65MIN: 2124.9MIN: 2732.66MIN: 3795.22MIN: 5647.371. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252246810SE +/- 0.0165, N = 3SE +/- 0.0032, N = 3SE +/- 0.0145, N = 3SE +/- 0.0243, N = 3SE +/- 0.0034, N = 3SE +/- 0.0713, N = 3SE +/- 0.0378, N = 3SE +/- 0.0265, N = 3SE +/- 0.0948, N = 3SE +/- 0.0036, N = 3SE +/- 0.0120, N = 3SE +/- 0.0279, N = 3SE +/- 0.0520, N = 3SE +/- 0.0183, N = 3SE +/- 0.0169, N = 3SE +/- 0.0177, N = 31.77003.79002.35002.32001.74004.55002.67003.43007.19004.51834.44008.35006.04005.03003.59002.6200MIN: 1.68 / MAX: 1.85MIN: 3.65 / MAX: 3.94MIN: 2.24 / MAX: 2.46MIN: 2.2 / MAX: 2.43MIN: 1.67 / MAX: 1.79MIN: 4.36 / MAX: 5MIN: 2.51 / MAX: 2.83MIN: 3.33 / MAX: 3.63MIN: 6.83 / MAX: 7.6MIN: 4.4 / MAX: 4.76MIN: 4.34 / MAX: 4.63MIN: 8.19 / MAX: 9.1MIN: 5.88 / MAX: 6.37MIN: 4.93 / MAX: 5.3MIN: 3.48 / MAX: 3.74MIN: 2.5 / MAX: 2.74

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Pabellon Barcelona - Compute: CPU-OnlyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252120240360480600SE +/- 0.46, N = 3SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 3SE +/- 0.22, N = 3SE +/- 0.31, N = 3SE +/- 0.50, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.87, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.62, N = 3531.39246.31400.96404.78531.98202.46343.69272.72129.01207.41208.30111.91150.88182.08243.03346.49

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.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521530456075SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.04, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.11, N = 12SE +/- 0.07, N = 6SE +/- 0.07, N = 12SE +/- 0.62, N = 15SE +/- 0.60, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.60, N = 3SE +/- 0.41, N = 3SE +/- 0.24, N = 3SE +/- 0.11, N = 314.7138.4622.6923.2618.8735.8220.9127.8469.5242.2743.4858.8242.8735.3026.5518.41MIN: 14.29 / MAX: 14.93MIN: 37.04MIN: 21.74 / MAX: 22.73MIN: 21.74 / MAX: 23.81MIN: 18.52 / MAX: 19.23MIN: 32.26 / MAX: 38.46MIN: 20.41 / MAX: 22.22MIN: 17.86 / MAX: 28.57MIN: 37.04 / MAX: 71.43MIN: 28.57 / MAX: 43.48MIN: 28.57 / MAX: 45.45MIN: 27.03 / MAX: 62.5MIN: 24.39 / MAX: 45.45MIN: 23.26 / MAX: 38.46MIN: 18.87 / MAX: 28.57MIN: 12.99 / MAX: 19.61

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: CrownXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521224364860SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 311.3828.7716.8117.6614.4228.8316.1321.7553.2331.7333.4547.8935.6227.7520.5713.96MIN: 11.32 / MAX: 11.49MIN: 28.26 / MAX: 29.24MIN: 16.67 / MAX: 17MIN: 17.5 / MAX: 17.85MIN: 14.3 / MAX: 14.63MIN: 28.5 / MAX: 29.62MIN: 16 / MAX: 16.42MIN: 21.43 / MAX: 22.13MIN: 51.36 / MAX: 55.83MIN: 31.27 / MAX: 32.36MIN: 32.87 / MAX: 34.13MIN: 47 / MAX: 49.42MIN: 34.41 / MAX: 36.76MIN: 27.34 / MAX: 28.39MIN: 20.24 / MAX: 21.16MIN: 13.81 / MAX: 14.32

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.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 6SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.00, N = 8SE +/- 0.00, N = 7SE +/- 0.01, N = 4SE +/- 0.00, N = 7SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 31.403.522.022.141.752.971.652.636.533.713.955.023.692.832.081.40MAX: 1.41MIN: 3.48 / MAX: 3.53MAX: 2.03MIN: 2.13 / MAX: 2.15MIN: 1.74 / MAX: 1.76MIN: 2.96 / MAX: 2.99MIN: 1.64MIN: 2.35 / MAX: 2.64MIN: 5.18 / MAX: 6.58MIN: 2.99 / MAX: 3.73MIN: 3.41 / MAX: 3.98MIN: 3.64 / MAX: 5.08MIN: 3.12 / MAX: 3.72MIN: 2.44 / MAX: 2.86MIN: 1.78 / MAX: 2.09MIN: 1.18 / MAX: 1.41

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian DragonXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521530456075SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 315.5938.3122.4623.6019.4334.6318.9728.9768.4240.4343.1051.9738.9530.5223.0215.48MIN: 15.54 / MAX: 15.7MIN: 37.87 / MAX: 38.72MIN: 22.38 / MAX: 22.62MIN: 23.45 / MAX: 23.8MIN: 19.37 / MAX: 19.6MIN: 34.39 / MAX: 35.22MIN: 18.87 / MAX: 19.16MIN: 28.72 / MAX: 29.29MIN: 66.22 / MAX: 70.39MIN: 40.04 / MAX: 41.18MIN: 42.68 / MAX: 43.7MIN: 51.28 / MAX: 53.24MIN: 38.41 / MAX: 40.05MIN: 30.27 / MAX: 31.01MIN: 22.85 / MAX: 23.35MIN: 15.06 / MAX: 15.78

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521326395265SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.4933.0519.3220.3416.7730.1216.4325.0758.6934.8037.1545.1333.6926.4119.8913.45MIN: 13.43 / MAX: 13.59MIN: 32.72 / MAX: 33.4MIN: 19.25 / MAX: 19.46MIN: 20.23 / MAX: 20.53MIN: 16.69 / MAX: 16.88MIN: 29.91 / MAX: 30.7MIN: 16.33 / MAX: 16.6MIN: 24.86 / MAX: 25.34MIN: 56.97 / MAX: 60.91MIN: 34.51 / MAX: 35.32MIN: 36.74 / MAX: 37.69MIN: 44.54 / MAX: 46.54MIN: 33.22 / MAX: 34.67MIN: 26.19 / MAX: 26.82MIN: 19.72 / MAX: 20.14MIN: 13.14 / MAX: 13.62

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521.19492.38983.58474.77965.9745SE +/- 0.01140, N = 3SE +/- 0.00157, N = 3SE +/- 0.00272, N = 3SE +/- 0.00527, N = 3SE +/- 0.00570, N = 3SE +/- 0.00678, N = 3SE +/- 0.00470, N = 3SE +/- 0.00576, N = 3SE +/- 0.00318, N = 3SE +/- 0.00475, N = 3SE +/- 0.00174, N = 3SE +/- 0.03396, N = 3SE +/- 0.02629, N = 15SE +/- 0.03206, N = 15SE +/- 0.04126, N = 3SE +/- 0.01731, N = 35.310871.462322.231263.364323.994882.497773.886623.065901.240291.497242.126802.388432.769452.707013.492144.07401MIN: 5.16MIN: 1.44MIN: 2.17MIN: 3.3MIN: 3.95MIN: 2.39MIN: 3.68MIN: 2.99MIN: 1.17MIN: 1.43MIN: 2.06MIN: 1.99MIN: 2.22MIN: 2.25MIN: 3.08MIN: 3.831. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725230M60M90M120M150MSE +/- 406404.40, N = 3SE +/- 829358.84, N = 3SE +/- 324752.06, N = 3SE +/- 184471.68, N = 3SE +/- 188043.56, N = 3SE +/- 544138.70, N = 3SE +/- 104295.87, N = 3SE +/- 553774.93, N = 3SE +/- 902995.35, N = 3SE +/- 956232.23, N = 3SE +/- 316618.77, N = 3SE +/- 1157750.62, N = 3SE +/- 431768.56, N = 3SE +/- 629934.99, N = 3SE +/- 395109.47, N = 3SE +/- 140703.23, N = 331174576628913123977629238167326324243327551454341894070605696961197157957520372974235829130975714973549857618636356329195372880651. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13ATPase Simulation - 327,506 AtomsXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72520.34140.68281.02421.36561.707SE +/- 0.00193, N = 3SE +/- 0.00060, N = 3SE +/- 0.00117, N = 3SE +/- 0.00122, N = 3SE +/- 0.00100, N = 3SE +/- 0.00023, N = 3SE +/- 0.00090, N = 3SE +/- 0.00193, N = 3SE +/- 0.00133, N = 3SE +/- 0.00104, N = 3SE +/- 0.00612, N = 3SE +/- 0.00053, N = 3SE +/- 0.00057, N = 3SE +/- 0.00004, N = 3SE +/- 0.00127, N = 3SE +/- 0.00041, N = 31.517210.707091.135861.157451.511680.738731.265370.769820.362260.582370.603330.398930.540380.660240.906741.28790

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: CPU-OnlyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252306090120150SE +/- 0.29, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.28, N = 3SE +/- 0.65, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3149.0269.80111.82113.30149.3962.76101.7778.7238.7959.4560.6735.8647.2355.2573.50102.38

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725220K40K60K80K100KSE +/- 24.29, N = 3SE +/- 99.39, N = 3SE +/- 60.93, N = 3SE +/- 77.98, N = 3SE +/- 6.03, N = 3SE +/- 5.00, N = 3SE +/- 3.33, N = 3SE +/- 91.33, N = 3SE +/- 700.53, N = 3SE +/- 111.31, N = 3SE +/- 12.50, N = 3SE +/- 109.22, N = 3SE +/- 241.14, N = 3SE +/- 1707.81, N = 12SE +/- 3.67, N = 3SE +/- 102.01, N = 320424428642712625547214034359322317410218408453485513248373760146418863239321499-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252612182430SE +/- 0.021, N = 3SE +/- 0.192, N = 3SE +/- 0.024, N = 3SE +/- 0.018, N = 3SE +/- 0.006, N = 3SE +/- 0.123, N = 3SE +/- 0.092, N = 3SE +/- 0.014, N = 3SE +/- 0.251, N = 14SE +/- 0.055, N = 3SE +/- 0.046, N = 3SE +/- 0.178, N = 12SE +/- 0.101, N = 15SE +/- 0.053, N = 3SE +/- 0.241, N = 15SE +/- 0.041, N = 37.81015.31410.3259.5358.1588.6966.54714.16124.78818.15017.3786.3366.7828.2826.6686.094-lpng -lz-lpng -lz-lpng -lz-lpng -lz-lpng -lz-lpng -lz-lpng -lz-lpng -lz-lpng -lz1. (CXX) g++ options: -O3 -rdynamic -lfftw3 -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.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: CrownXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521122334455SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 312.4326.2815.9916.0512.3930.1416.9623.2745.6128.9629.5250.3237.4629.2221.6214.70MIN: 12.35 / MAX: 12.55MIN: 25.64 / MAX: 26.64MIN: 15.9 / MAX: 16.17MIN: 15.89 / MAX: 16.22MIN: 12.32 / MAX: 12.5MIN: 29.74 / MAX: 31.03MIN: 16.81 / MAX: 17.23MIN: 23 / MAX: 23.64MIN: 44.2 / MAX: 47.35MIN: 28.49 / MAX: 29.56MIN: 29.05 / MAX: 30.15MIN: 49.47 / MAX: 51.96MIN: 36.72 / MAX: 38.65MIN: 28.86 / MAX: 29.79MIN: 21.28 / MAX: 22.21MIN: 14.56 / MAX: 15.02

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.0.0Scene: MemorialXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 15SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 3SE +/- 0.05, N = 3SE +/- 0.28, N = 15SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 15SE +/- 0.04, N = 312.8531.1022.0118.4115.8015.0910.5620.4334.4933.0627.9724.8419.8015.9812.608.69

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: CPU-OnlyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725250100150200250SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3229.71110.67173.95175.95229.2891.81148.39125.3566.3996.4198.2460.1175.4586.03110.86154.23

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725230M60M90M120M150MSE +/- 274506.10, N = 3SE +/- 450047.19, N = 3SE +/- 606619.65, N = 3SE +/- 375245.33, N = 3SE +/- 274137.19, N = 3SE +/- 153427.67, N = 3SE +/- 385803.49, N = 3SE +/- 49212.27, N = 3SE +/- 491864.96, N = 3SE +/- 983078.22, N = 3SE +/- 107032.55, N = 3SE +/- 108974.69, N = 3SE +/- 1158643.72, N = 3SE +/- 504781.25, N = 3SE +/- 368509.25, N = 3SE +/- 254236.78, N = 335085496687620754461492543217939365618177842066042236223668958101338398968389451485501851133449810101338444756013645708387438224345

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725214K28K42K56K70KSE +/- 34.43, N = 3SE +/- 306.00, N = 3SE +/- 58.00, N = 3SE +/- 50.25, N = 3SE +/- 69.72, N = 3SE +/- 424.01, N = 3SE +/- 202.49, N = 3SE +/- 223.28, N = 3SE +/- 474.70, N = 3SE +/- 369.19, N = 3SE +/- 178.87, N = 3SE +/- 123.21, N = 3SE +/- 454.07, N = 3SE +/- 567.95, N = 3SE +/- 369.92, N = 3SE +/- 62.58, N = 317105347102207421886169813753423577275926433134749402705952947866356902934420817

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian DragonXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521326395265SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 315.2832.2519.3519.6115.3134.5518.9428.2057.4934.6935.8852.2939.4030.4122.8615.59MIN: 15.18 / MAX: 15.39MIN: 32 / MAX: 32.54MIN: 19.28 / MAX: 19.48MIN: 19.5 / MAX: 19.79MIN: 15.25 / MAX: 15.4MIN: 33.82 / MAX: 35.38MIN: 18.83 / MAX: 19.14MIN: 27.97 / MAX: 28.53MIN: 55.98 / MAX: 58.87MIN: 34.44 / MAX: 35.19MIN: 35.51 / MAX: 36.33MIN: 50.09 / MAX: 53.71MIN: 38.87 / MAX: 40.63MIN: 29.63 / MAX: 30.96MIN: 22.24 / MAX: 23.34MIN: 15.52 / MAX: 15.76

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian Dragon ObjXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521224364860SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.8829.2117.4217.8013.8531.4617.0725.5051.7931.3132.3347.1135.2127.4720.7313.99MIN: 13.82 / MAX: 13.97MIN: 28.89 / MAX: 29.61MIN: 17.34 / MAX: 17.59MIN: 17.67 / MAX: 17.93MIN: 13.79 / MAX: 13.97MIN: 31.27 / MAX: 31.96MIN: 16.97 / MAX: 17.25MIN: 25.3 / MAX: 25.83MIN: 50.62 / MAX: 53.17MIN: 31.07 / MAX: 31.76MIN: 31.97 / MAX: 32.83MIN: 46.48 / MAX: 48.23MIN: 34.72 / MAX: 36.08MIN: 27.26 / MAX: 27.87MIN: 20.37 / MAX: 21.05MIN: 13.91 / MAX: 14.18

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Barbershop - Compute: CPU-OnlyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252130260390520650SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.44, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.40, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.40, N = 3SE +/- 0.25, N = 3SE +/- 0.30, N = 3SE +/- 0.65, N = 3SE +/- 0.64, N = 3SE +/- 0.25, N = 3SE +/- 0.31, N = 3SE +/- 0.35, N = 3593.13287.80453.22456.47589.07249.65408.87333.40187.33257.01260.56171.38206.09243.32320.14455.41

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252612182430SE +/- 0.12220, N = 3SE +/- 0.03914, N = 3SE +/- 0.06005, N = 3SE +/- 0.03525, N = 3SE +/- 0.02235, N = 3SE +/- 0.04181, N = 3SE +/- 0.07236, N = 3SE +/- 0.06619, N = 3SE +/- 0.11249, N = 3SE +/- 0.05690, N = 3SE +/- 0.03810, N = 3SE +/- 0.05038, N = 3SE +/- 0.02783, N = 3SE +/- 0.03013, N = 3SE +/- 0.03002, N = 3SE +/- 0.02795, N = 323.6129012.6863018.6129018.9840022.4866010.5802016.7079013.603107.8270610.6653011.072606.845498.744989.8855812.5601017.18770-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lpthread -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.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521326395265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 358.2530.6944.9446.7155.2125.1439.4834.6319.8927.2327.9817.3421.0624.0230.1340.871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725230K60K90K120K150KSE +/- 38.08, N = 3SE +/- 82.95, N = 3SE +/- 30.22, N = 3SE +/- 45.25, N = 3SE +/- 41.33, N = 3SE +/- 396.14, N = 3SE +/- 420.26, N = 3SE +/- 91.80, N = 3SE +/- 188.25, N = 3SE +/- 50.65, N = 3SE +/- 135.16, N = 3SE +/- 2358.57, N = 15SE +/- 411.58, N = 3SE +/- 1376.97, N = 4SE +/- 111.79, N = 3SE +/- 745.23, N = 346723.0174255.6758594.5056744.8748143.4973641.9858479.5985606.53140090.32106268.33108883.40156257.79112998.0198171.9577169.3260944.501. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3rc4

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521.16252.3253.48754.655.8125SE +/- 0.01398, N = 3SE +/- 0.01072, N = 3SE +/- 0.00644, N = 3SE +/- 0.01148, N = 3SE +/- 0.02145, N = 3SE +/- 0.00693, N = 3SE +/- 0.01025, N = 3SE +/- 0.01245, N = 3SE +/- 0.01437, N = 15SE +/- 0.01296, N = 3SE +/- 0.02205, N = 15SE +/- 0.02065, N = 15SE +/- 0.01718, N = 3SE +/- 0.00493, N = 3SE +/- 0.04032, N = 5SE +/- 0.05038, N = 35.166582.394514.413664.499854.756962.571603.651292.666991.639862.189752.230092.273572.526512.477183.066063.78030MIN: 4.71MIN: 2.28MIN: 3.68MIN: 4.19MIN: 4.33MIN: 2.39MIN: 3.49MIN: 2.31MIN: 1.39MIN: 1.86MIN: 1.82MIN: 1.6MIN: 1.94MIN: 2MIN: 2.55MIN: 3.451. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

PostgreSQL pgbench

This is a simple benchmark of PostgreSQL using pgbench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Normal Load - Mode: Read OnlyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252200K400K600K800K1000KSE +/- 517.49, N = 3SE +/- 1625.61, N = 3SE +/- 358.06, N = 3SE +/- 474.33, N = 3SE +/- 198.36, N = 3SE +/- 4183.51, N = 3SE +/- 766.70, N = 3SE +/- 568.07, N = 3SE +/- 10457.35, N = 3SE +/- 494.87, N = 3SE +/- 2029.20, N = 3SE +/- 10726.55, N = 3SE +/- 854.17, N = 3SE +/- 3217.47, N = 3SE +/- 367.93, N = 3SE +/- 700.67, N = 3313376.78560887.77376860.32383120.69322051.63576329.51343164.84501697.24909916.49587882.23598798.57855210.43585293.24493577.85434370.50293576.841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

Intel MPI Benchmarks

Intel MPI Benchmarks for stressing MPI implementations. At this point the test profile aggregates results for some common MPI functionality. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Msg/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-P2P PingPongXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72527M14M21M28M35MSE +/- 7036.00, N = 3SE +/- 33688.94, N = 3SE +/- 19484.28, N = 3SE +/- 20987.71, N = 3SE +/- 10529.89, N = 3SE +/- 10330.04, N = 3SE +/- 964.66, N = 3SE +/- 20273.79, N = 3SE +/- 66348.18, N = 3SE +/- 41319.75, N = 3SE +/- 12631.77, N = 3SE +/- 720.19, N = 3SE +/- 704.68, N = 3SE +/- 1150.18, N = 3SE +/- 18484.88, N = 9SE +/- 2445.21, N = 38923779.5516653864.7710620968.6110276849.529066471.043562419.562025941.0717176230.5431821690.5520467429.5219650424.332030305.802019790.572028229.361892211.601486726.10MIN: 4155 / MAX: 23466581MIN: 5455 / MAX: 45833330MIN: 4580 / MAX: 27791242MIN: 4586 / MAX: 28371063MIN: 4337 / MAX: 23652306MIN: 7391 / MAX: 46585428MIN: 9950 / MAX: 90956260MIN: 7824 / MAX: 55096192MIN: 8143 / MAX: 563625841. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725230K60K90K120K150KSE +/- 4.15, N = 3SE +/- 52.95, N = 3SE +/- 27.55, N = 3SE +/- 44.99, N = 3SE +/- 54.74, N = 3SE +/- 332.31, N = 3SE +/- 135.04, N = 3SE +/- 124.40, N = 3SE +/- 78.84, N = 3SE +/- 86.40, N = 3SE +/- 42.06, N = 3SE +/- 1659.34, N = 12SE +/- 382.10, N = 3SE +/- 683.85, N = 3SE +/- 224.29, N = 3SE +/- 56.64, N = 346389.7971842.3456576.1250787.7948617.0560515.8650117.8965509.98136046.5377470.67100761.2986163.0076616.9975121.5951917.5751383.441. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3rc4

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.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252816243240SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 311.8914.9113.9613.3513.0115.1114.3523.1628.8526.5925.6333.9228.4027.4517.2315.761. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521632486480SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.47, N = 3SE +/- 0.46, N = 3SE +/- 0.11, N = 3SE +/- 0.67, N = 3SE +/- 0.25, N = 3SE +/- 0.18, N = 3SE +/- 0.87, N = 3SE +/- 0.53, N = 3SE +/- 0.19, N = 3SE +/- 0.49, N = 3SE +/- 0.30, N = 326.4651.9234.6433.0927.1946.9030.7440.5556.9851.7149.2174.0548.8447.3543.4528.841. (CXX) g++ options: -fPIE -fPIC -pie

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Summer Nature 1080pXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252140280420560700SE +/- 1.97, N = 3SE +/- 0.52, N = 3SE +/- 0.97, N = 3SE +/- 2.31, N = 3SE +/- 1.26, N = 3SE +/- 0.35, N = 3SE +/- 0.85, N = 3SE +/- 4.57, N = 3SE +/- 3.74, N = 15SE +/- 1.84, N = 3SE +/- 3.79, N = 6SE +/- 1.70, N = 3SE +/- 1.17, N = 3SE +/- 3.06, N = 3SE +/- 1.73, N = 3SE +/- 0.17, N = 3232.35323.20307.75274.98265.46547.08435.69272.55409.88358.62321.84649.45566.85533.12496.44399.17MIN: 133.23 / MAX: 255.75MIN: 200.79 / MAX: 358.32MIN: 179.63 / MAX: 337.24MIN: 160.24 / MAX: 299.46MIN: 166.24 / MAX: 288.23MIN: 346.15 / MAX: 603.46MIN: 302.41 / MAX: 471.34MIN: 156.69 / MAX: 307.87MIN: 126.27 / MAX: 481.12MIN: 196.53 / MAX: 395.24MIN: 175.96 / MAX: 365.43MIN: 203.53 / MAX: 748.16MIN: 238.04 / MAX: 631.84MIN: 313.35 / MAX: 590.66MIN: 310.03 / MAX: 543.56MIN: 287.39 / MAX: 430.51. (CC) gcc options: -pthread

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521632486480SE +/- 0.99, N = 4SE +/- 0.42, N = 8SE +/- 0.88, N = 3SE +/- 0.87, N = 4SE +/- 0.88, N = 4SE +/- 0.49, N = 5SE +/- 0.44, N = 3SE +/- 0.41, N = 10SE +/- 0.25, N = 14SE +/- 0.37, N = 8SE +/- 0.34, N = 10SE +/- 0.20, N = 14SE +/- 0.30, N = 9SE +/- 0.37, N = 7SE +/- 0.57, N = 4SE +/- 0.64, N = 571.7740.9057.7759.0167.1637.0152.9645.3227.3136.6036.7025.9830.8834.3342.8454.27

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Chimera 1080p 10-bitXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252306090120150SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.47, N = 3SE +/- 0.43, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.31, N = 3SE +/- 0.17, N = 350.1065.4062.3258.0555.88110.7191.6859.5185.1473.9570.81137.12125.03109.9897.5886.22MIN: 36.69 / MAX: 102.49MIN: 49.2 / MAX: 111MIN: 45.27 / MAX: 134.22MIN: 42.73 / MAX: 119.59MIN: 40.96 / MAX: 112.64MIN: 78 / MAX: 183.07MIN: 62.47 / MAX: 183.37MIN: 45.13 / MAX: 93.29MIN: 66.74 / MAX: 126.85MIN: 55.51 / MAX: 119.74MIN: 54.24 / MAX: 115.34MIN: 99.13 / MAX: 213.36MIN: 91.31 / MAX: 182.43MIN: 76.69 / MAX: 176.26MIN: 66.87 / MAX: 181.32MIN: 58.99 / MAX: 170.381. (CC) gcc options: -pthread

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252110220330440550SE +/- 2.53, N = 3SE +/- 4.79, N = 3SE +/- 2.13, N = 3SE +/- 1.84, N = 3SE +/- 3.37, N = 3SE +/- 1.48, N = 3SE +/- 4.25, N = 3SE +/- 1.73, N = 3SE +/- 1.01, N = 3SE +/- 3.51, N = 3SE +/- 2.03, N = 3SE +/- 1.54, N = 3SE +/- 2.07, N = 3SE +/- 1.47, N = 3SE +/- 2.04, N = 3SE +/- 5.93, N = 4531.15308.74433.19430.43501.22287.13385.46347.83221.52279.68286.78217.74248.57264.63327.01400.48

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72524080120160200SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.67, N = 3SE +/- 0.37, N = 3SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 1.48, N = 3SE +/- 1.28, N = 4SE +/- 0.13, N = 3SE +/- 0.01, N = 3193.47128.85123.70134.48147.7393.6485.04194.50129.99124.26134.9397.78102.2986.5787.8887.94-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-msse4a -msha-msse4a -msha-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mmpx-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Summer Nature 4KXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725260120180240300SE +/- 0.15, N = 3SE +/- 1.15, N = 3SE +/- 1.20, N = 3SE +/- 0.78, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 1.81, N = 3SE +/- 3.68, N = 3SE +/- 1.66, N = 3SE +/- 0.84, N = 3SE +/- 1.32, N = 3SE +/- 0.59, N = 3SE +/- 0.42, N = 3SE +/- 0.09, N = 3SE +/- 0.49, N = 3132.46199.08170.07160.59136.86260.52196.28159.60221.31203.10177.89296.06261.12240.37223.20169.42MIN: 104.21 / MAX: 150.6MIN: 121.12 / MAX: 214.69MIN: 115.59 / MAX: 193.75MIN: 110.85 / MAX: 181MIN: 107.86 / MAX: 153.94MIN: 158.5 / MAX: 277.52MIN: 145.91 / MAX: 217.23MIN: 100.88 / MAX: 178.21MIN: 81.4 / MAX: 247.6MIN: 119.16 / MAX: 222.17MIN: 103.41 / MAX: 190.93MIN: 95.29 / MAX: 338.33MIN: 115.95 / MAX: 285.13MIN: 132.01 / MAX: 259.25MIN: 141.07 / MAX: 243.94MIN: 127.73 / MAX: 188.861. (CC) gcc options: -pthread

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.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725280160240320400345.39197.65276.77284.28328.14176.59266.58222.97154.98177.66180.65176.23188.31190.23232.78296.23

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252246810SE +/- 0.021, N = 3SE +/- 0.032, N = 3SE +/- 0.018, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 3SE +/- 0.081, N = 3SE +/- 0.061, N = 3SE +/- 0.010, N = 3SE +/- 0.064, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 3SE +/- 0.065, N = 3SE +/- 0.090, N = 3SE +/- 0.056, N = 15SE +/- 0.038, N = 15SE +/- 0.044, N = 33.3096.0304.3404.2853.3394.9843.5434.2167.0335.4315.3026.6885.6534.7194.1783.4481. (CXX) g++ options: -fPIE -fPIC -pie

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 73522 x EPYC 73022 x EPYC 725280160240320400SE +/- 5.99, N = 3SE +/- 3.12, N = 9SE +/- 0.61, N = 3361.31307.53172.91MIN: 1 / MAX: 1260MIN: 1 / MAX: 1087MIN: 1 / MAX: 610

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.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521428425670SE +/- 0.047, N = 3SE +/- 0.067, N = 3SE +/- 0.026, N = 3SE +/- 0.094, N = 3SE +/- 0.069, N = 9SE +/- 0.328, N = 10SE +/- 0.274, N = 3SE +/- 0.372, N = 15SE +/- 0.086, N = 6SE +/- 0.072, N = 15SE +/- 0.099, N = 15SE +/- 0.301, N = 9SE +/- 0.448, N = 3SE +/- 0.896, N = 3SE +/- 0.610, N = 3SE +/- 2.480, N = 157.8194.1156.4516.4097.04235.66036.30016.9207.4817.1559.89831.82041.15061.00061.27054.5301. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72528001600240032004000SE +/- 1.52, N = 3SE +/- 25.11, N = 3SE +/- 4.16, N = 3SE +/- 0.37, N = 3SE +/- 0.62, N = 3SE +/- 0.91, N = 3SE +/- 0.75, N = 3SE +/- 0.79, N = 3SE +/- 20.06, N = 3SE +/- 31.78, N = 3SE +/- 3.91, N = 3SE +/- 3.17, N = 3SE +/- 6.45, N = 3SE +/- 39.91, N = 12SE +/- 5.49, N = 3SE +/- 0.40, N = 3765.493432.162137.031201.541002.09632.50385.871497.753430.283912.302359.13611.42477.30585.60522.54379.381. (CXX) g++ options: -rdynamic

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252306090120150SE +/- 1.22, N = 3SE +/- 1.60, N = 3SE +/- 1.84, N = 3SE +/- 1.11, N = 3SE +/- 0.75, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.71, N = 3SE +/- 1.16, N = 3SE +/- 0.89, N = 3SE +/- 0.47, N = 3SE +/- 1.10, N = 3SE +/- 0.25, N = 3SE +/- 1.32, N = 3SE +/- 1.00, N = 7SE +/- 0.80, N = 11136.00118.09119.79126.08128.4175.0779.41133.01122.22123.39125.1278.4883.0485.8188.3289.12

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72520.67281.34562.01842.69123.364SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 7SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 15SE +/- 0.06, N = 12SE +/- 0.03, N = 15SE +/- 0.06, N = 14SE +/- 0.02, N = 7SE +/- 0.02, N = 15SE +/- 0.02, N = 152.971.671.932.252.461.812.082.991.822.082.391.952.292.152.142.21

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725220406080100SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3109.7074.1288.9891.64101.7271.5683.0186.3362.7870.6172.1564.6970.2968.9877.4585.56

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725220406080100SE +/- 0.80, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 0.25, N = 3SE +/- 0.44, N = 3SE +/- 0.48, N = 3SE +/- 0.13, N = 3SE +/- 1.29, N = 3SE +/- 0.59, N = 3SE +/- 0.30, N = 3SE +/- 1.07, N = 4SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.58, N = 3SE +/- 0.43, N = 381.3667.3661.8268.1968.7868.9161.3294.4563.3574.6377.4165.6070.2876.0475.9169.11

Nettle

GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbyte/s, More Is BetterNettle 3.5.1Test: chachaXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72522004006008001000SE +/- 0.91, N = 3SE +/- 0.86, N = 3SE +/- 0.49, N = 3SE +/- 1.02, N = 3SE +/- 0.76, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.37, N = 3SE +/- 0.61, N = 3SE +/- 0.41, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.88, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3837.611051.111024.991020.091024.49760.21748.68841.651051.941025.381024.98748.58714.46749.60725.88726.19-lgmp - MIN: 423.28 / MAX: 2294.55-lgmp - MIN: 532.77 / MAX: 2871.25-lgmp - MIN: 521.91 / MAX: 2799.45-lgmp - MIN: 519.31 / MAX: 2788.96-lgmp - MIN: 507.67 / MAX: 2797.4MIN: 387.36 / MAX: 2073.88MIN: 381.48 / MAX: 2043.2-lgmp - MIN: 428.69 / MAX: 2296.48-lgmp - MIN: 535.04 / MAX: 2870.94-lgmp - MIN: 522.31 / MAX: 2798.89-lgmp - MIN: 518.14 / MAX: 2797.53MIN: 381.45 / MAX: 2041.13MIN: 364.04 / MAX: 1948.5MIN: 381.6 / MAX: 2054.89MIN: 369.86 / MAX: 1979.86MIN: 369.76 / MAX: 1980.631. (CC) gcc options: -O2 -ggdb3 -lnettle -lm -lcrypto

OpenBenchmarking.orgMbyte/s, More Is BetterNettle 3.5.1Test: poly1305-aesXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72526001200180024003000SE +/- 3.38, N = 3SE +/- 0.87, N = 3SE +/- 2.79, N = 3SE +/- 5.86, N = 3SE +/- 0.60, N = 3SE +/- 0.47, N = 3SE +/- 0.31, N = 3SE +/- 1.74, N = 3SE +/- 1.10, N = 3SE +/- 0.50, N = 3SE +/- 0.92, N = 3SE +/- 0.31, N = 3SE +/- 0.13, N = 3SE +/- 0.46, N = 3SE +/- 0.32, N = 3SE +/- 0.32, N = 32291.692867.482795.492779.782798.562072.852041.012294.742868.692797.432797.222041.941952.332042.171980.451980.28-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp1. (CC) gcc options: -O2 -ggdb3 -lnettle -lm -lcrypto

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252510152025SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 15SE +/- 0.24, N = 15SE +/- 0.23, N = 15SE +/- 0.01, N = 320.8917.1917.9217.8217.9814.7615.0521.0917.1917.7717.9217.2316.5015.8316.1715.52

Nettle

GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbyte/s, More Is BetterNettle 3.5.1Test: aes256Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725214002800420056007000SE +/- 11.26, N = 3SE +/- 7.98, N = 3SE +/- 6.01, N = 3SE +/- 2.03, N = 3SE +/- 1.48, N = 3SE +/- 1.59, N = 3SE +/- 2.23, N = 3SE +/- 1.63, N = 3SE +/- 3.29, N = 3SE +/- 8.42, N = 3SE +/- 2.26, N = 3SE +/- 3.15, N = 3SE +/- 0.92, N = 3SE +/- 0.88, N = 3SE +/- 1.21, N = 3SE +/- 2.64, N = 35024.396313.166161.426133.916164.794727.654634.445061.606320.006157.496159.214652.834445.944657.484513.844513.43-lgmp - MIN: 3388.65 / MAX: 8334.48-lgmp - MIN: 4256.89 / MAX: 10467.36-lgmp - MIN: 4158.08 / MAX: 10213.08-lgmp - MIN: 4136.23 / MAX: 10160.8-lgmp - MIN: 4152.92 / MAX: 10208.98MIN: 3409.66 / MAX: 7332.57MIN: 3318.44 / MAX: 7221.57-lgmp - MIN: 3412.46 / MAX: 8379.01-lgmp - MIN: 4254.97 / MAX: 10469.4-lgmp - MIN: 4104.14 / MAX: 10212.45-lgmp - MIN: 4154.94 / MAX: 10200.04MIN: 3338.25 / MAX: 7221.47MIN: 3208.14 / MAX: 6890.98MIN: 3357.45 / MAX: 7222.78MIN: 3246.55 / MAX: 7005.21MIN: 3233.68 / MAX: 7002.851. (CC) gcc options: -O2 -ggdb3 -lnettle -lm -lcrypto

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725270140210280350299.74235.00242.00242.52241.90218.48215.32281.25226.08233.04230.56221.28232.10220.82225.72230.50

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72521428425670SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 0.09, N = 357.546.247.347.147.259.359.957.545.947.147.360.863.459.862.662.4

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.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72528001600240032004000SE +/- 1.23, N = 3SE +/- 4.11, N = 3SE +/- 1.26, N = 3SE +/- 1.90, N = 3SE +/- 1.15, N = 3SE +/- 22.45, N = 3SE +/- 52.95, N = 3SE +/- 1.18, N = 3SE +/- 5.39, N = 3SE +/- 0.77, N = 3SE +/- 5.10, N = 3SE +/- 16.97, N = 3SE +/- 40.64, N = 3SE +/- 11.23, N = 3SE +/- 45.15, N = 3SE +/- 48.24, N = 42823.603510.213401.163398.403405.043883.483852.932817.673514.603410.383404.693783.183647.333774.883643.553705.351. (CC) gcc options: -O3 -mavx2

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 72523691215SE +/- 0.028, N = 3SE +/- 0.042, N = 3SE +/- 0.029, N = 3SE +/- 0.034, N = 3SE +/- 0.041, N = 3SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.035, N = 3SE +/- 0.122, N = 3SE +/- 0.055, N = 3SE +/- 0.024, N = 3SE +/- 0.048, N = 3SE +/- 0.136, N = 6SE +/- 0.027, N = 3SE +/- 0.095, N = 3SE +/- 0.028, N = 312.0309.1279.92410.11210.28610.61810.81912.5499.39210.44910.45810.91311.53111.05311.49611.224

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3137109115114114137139137109113113139146139144144

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.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252140K280K420K560K700KSE +/- 1865.15, N = 3SE +/- 425.09, N = 3SE +/- 752.01, N = 3SE +/- 862.18, N = 3SE +/- 786.96, N = 3SE +/- 3270.88, N = 3SE +/- 1063.79, N = 3SE +/- 200.00, N = 3SE +/- 884.68, N = 3SE +/- 164.78, N = 3SE +/- 914.97, N = 3SE +/- 544.97, N = 3SE +/- 1441.15, N = 3SE +/- 1762.58, N = 3SE +/- 1171.51, N = 3SE +/- 2827.91, N = 3515697649164632431629690632455526537511353519964649693632601631283515758485243510599497273493624

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252714212835SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 6SE +/- 0.35, N = 4SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 328.9022.0224.0925.0125.9623.0926.0627.3921.5923.1923.3424.4025.3624.6226.4228.51-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw-march=znver1 -msse4a -mno-avx512f -mno-avx512vl -mno-avx512cd -mno-avx512dq -mno-avx512bw1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lpthread -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725250100150200250SE +/- 0.58, N = 3204164168168167203208204164167167210216208212215

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 73522 x EPYC 73022 x EPYC 725215M30M45M60M75MSE +/- 326427.49, N = 3SE +/- 347341.67, N = 3SE +/- 810709.61, N = 370983017.0372351924.6856107542.79MIN: 751305 / MAX: 684373680MIN: 666521 / MAX: 710978184MIN: 735013 / MAX: 453888288

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 73522 x EPYC 7302918273645SE +/- 0.16, N = 3SE +/- 0.07, N = 339.4430.86MIN: 38.67 / MAX: 40.9MIN: 30.51 / MAX: 31.42

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown2 x EPYC 73522 x EPYC 7302816243240SE +/- 0.41, N = 3SE +/- 0.05, N = 336.5228.68MIN: 34.41 / MAX: 38.36MIN: 28.23 / MAX: 29.35

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown2 x EPYC 73522 x EPYC 7302918273645SE +/- 0.22, N = 3SE +/- 0.08, N = 338.4030.20MIN: 36.81 / MAX: 39.85MIN: 29.7 / MAX: 30.89

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 73522 x EPYC 7302816243240SE +/- 0.07, N = 3SE +/- 0.04, N = 336.1428.63MIN: 35.55 / MAX: 37.25MIN: 28.35 / MAX: 29.22

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725270140210280350SE +/- 0.89, N = 3SE +/- 2.42, N = 3SE +/- 0.54, N = 3SE +/- 3.23, N = 3SE +/- 2.01, N = 3SE +/- 1.78, N = 3SE +/- 1.05, N = 3SE +/- 1.91, N = 3SE +/- 3.00, N = 3SE +/- 1.46, N = 3SE +/- 0.65, N = 3SE +/- 1.42, N = 3SE +/- 1.21, N = 3SE +/- 1.19, N = 3SE +/- 1.67, N = 3SE +/- 1.58, N = 3272.12330.33318.87313.76315.14314.28315.52262.78321.82304.16300.73307.69296.14317.99306.36306.25

Nettle

GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbyte/s, More Is BetterNettle 3.5.1Test: sha512Xeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 7252110220330440550SE +/- 0.56, N = 3SE +/- 0.15, N = 3SE +/- 0.77, N = 3SE +/- 1.03, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.97, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.35, N = 3SE +/- 0.05, N = 3399.99501.98488.81485.86489.51484.24476.77401.13500.98489.42489.15476.65455.36476.80462.00462.54-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp-lgmp1. (CC) gcc options: -O2 -ggdb3 -lnettle -lm -lcrypto

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon2 x EPYC 73522 x EPYC 7302918273645SE +/- 0.23, N = 3SE +/- 0.14, N = 340.0431.91MIN: 39.17 / MAX: 41.85MIN: 31.46 / MAX: 32.52

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesXeon Silver 4216Xeon Platinum 8280Xeon Gold 6226RXeon Gold 5220RXeon Gold 5218EPYC 7502PEPYC 7302P2 x Xeon Silver 42162 x Xeon Platinum 82802 x Xeon Gold 6226R2 x Xeon Gold 5220R2 x EPYC 75322 x EPYC 73522 x EPYC 73022 x EPYC 72722 x EPYC 725230060090012001500SE +/- 0.58, N = 3SE +/- 1.15, N = 3SE +/- 3.06, N = 3SE +/- 12.17, N = 3SE +/- 7.33, N = 3SE +/- 2.52, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 3SE +/- 0.67, N = 3SE +/- 1.45, N = 3SE +/- 2.96, N = 3SE +/- 1.73, N = 3SE +/- 7.77, N = 3SE +/- 2.33, N = 31342107611031114110111551173134310731104110011701230116712161208

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 73522 x EPYC 7302816243240SE +/- 0.02, N = 3SE +/- 0.10, N = 334.2427.40MIN: 33.73 / MAX: 35.36MIN: 26.52 / MAX: 28.1

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: Memorial2 x EPYC 73522 x EPYC 7302510152025SE +/- 0.06, N = 3SE +/- 0.15, N = 321.3517.26

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.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 73522 x EPYC 73022 x EPYC 72523M6M9M12M15MSE +/- 12651.06, N = 3SE +/- 25872.58, N = 3SE +/- 14948.29, N = 315225641.6015452697.9312534605.67MIN: 644487 / MAX: 76303872MIN: 565360 / MAX: 74697480MIN: 580757 / MAX: 52932960