FINAL 7F52

2 x AMD EPYC 7F52 16-Core testing with a Supermicro H11DSU-iN (2.1b BIOS) and llvmpipe 504GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2007035-NI-FINAL7F5268
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2 x AMD EPYC 7F52 16-Core
July 02 2020
  8 Hours, 55 Minutes
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FINAL 7F52OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7F52 16-Core @ 3.50GHz (32 Cores / 64 Threads)Supermicro H11DSU-iN (2.1b BIOS)AMD Starship/Matisse504GB2 x 3841GB Micron_9200_MTFDHAL3T8TCTllvmpipe 504GB4 x Intel I350Ubuntu 20.045.4.0-39-generic (x86_64)GNOME Shell 3.36.2X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits)GCC 9.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionFINAL 7F52 BenchmarksSystem Logs- --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 -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301038- Python 3.8.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

FINAL 7F52x265: H.265 1080p Video Encodingx264: H.264 Video Encodingsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080ppovray: Trace Timenumpy: lammps: Rhodopsin Proteinbuild-gcc: Time To Compilev-ray: CPUembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonmlpack: scikit_linearridgeregressionpybench: Total For Average Test Timesgromacs: Water Benchmarkfftw: Float + SSE - 2D FFT Size 4096fftw: Float + SSE - 2D FFT Size 1024fftw: Float + SSE - 2D FFT Size 512fftw: Float + SSE - 2D FFT Size 256fftw: Float + SSE - 2D FFT Size 128fftw: Float + SSE - 2D FFT Size 64fftw: Float + SSE - 2D FFT Size 32fftw: Float + SSE - 1D FFT Size 4096fftw: Float + SSE - 1D FFT Size 2048fftw: Float + SSE - 1D FFT Size 1024fftw: Float + SSE - 1D FFT Size 512fftw: Float + SSE - 1D FFT Size 256fftw: Float + SSE - 1D FFT Size 128fftw: Float + SSE - 1D FFT Size 64fftw: Float + SSE - 1D FFT Size 32fftw: Stock - 2D FFT Size 4096fftw: Stock - 2D FFT Size 2048fftw: Stock - 2D FFT Size 1024fftw: Stock - 2D FFT Size 512fftw: Stock - 2D FFT Size 256fftw: Stock - 2D FFT Size 128fftw: Stock - 2D FFT Size 64fftw: Stock - 2D FFT Size 32fftw: Stock - 1D FFT Size 4096fftw: Stock - 1D FFT Size 2048fftw: Stock - 1D FFT Size 1024fftw: Stock - 1D FFT Size 512fftw: Stock - 1D FFT Size 256fftw: Stock - 1D FFT Size 128fftw: Stock - 1D FFT Size 32byte: Floating-Point Arithmeticbyte: Integer Arithmeticbyte: Register Arithmeticbyte: Dhrystone 2build-linux-kernel: Time To Compilebuild-llvm: Time To Compiley-cruncher: Calculating 500M Pi Digitsgeekbench: CPU Multi Core - Face Detectiongeekbench: CPU Multi Core - Gaussian Blurgeekbench: CPU Multi Coregeekbench: CPU Single Core - Horizon Detectiongeekbench: CPU Single Core - Face Detectiongeekbench: CPU Single Core - Gaussian Blurgeekbench: CPU Single Coreblender: Barbershop - OpenCLblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - OpenCLblender: Pabellon Barcelona - CPU-Onlyblender: Fishy Cat - OpenCLblender: Fishy Cat - CPU-Onlyblender: Classroom - OpenCLblender: Classroom - CPU-Onlyblender: BMW27 - OpenCLblender: BMW27 - CPU-Onlyc-ray: Total Time - 4K, 16 Rays Per Pixelstockfish: Total Timesvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080ponednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: IP Batch 1D - f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUstream: Triadstream: Addstream: Scalestream: Copysysbench: CPUopenssl: RSA 4096-bit Performanceredis: SADDredis: LPOPredis: LPUSHredis: GETredis: SETnpb: CG.Cnpb: MG.Cnpb: IS.Dnpb: LU.Cnpb: FT.Cnpb: EP.Dnpb: EP.Cnamd: ATPase Simulation - 327,506 Atomsmlpack: scikit_svmfftw: Float + SSE - 2D FFT Size 2048fftw: Stock - 1D FFT Size 64geekbench: CPU Multi Core - Horizon Detectiononednn: Recurrent Neural Network Training - f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUsysbench: Memorynpb: SP.Bnpb: BT.C2 x AMD EPYC 7F52 16-Core57.78196.33302.62313.71268.9114.574354.8520.205717.2903811331.756928.799032.962033.326930.182233.4063198.7110084.4781704239100381613905641069421054116050979529005151346688356562412219008139795951.06327.77128.97784.97781.78033.18633.010019.27886.18114.38403.18229.68140.97681.31012911139948332.928.659219.2359.995336.61.503265127.19.6874.21180481.93208.74959.15152.31934.1071.19205.06116.96354.5346.1616.557834240330.1177.62059.589148.5110.8995070.5075391.626631.756491.987692.348121.07369206058.6200927.2186702.9191213.665185.89269167.31701971.981377584.281327559.491823005.221511679.6245339.95101847.592330.34107983.5361478.802666.232659.800.6988226.72269128824.0887.9397.66111.732717.91711.464633.313503.627812130007.2829103802.1992978.27OpenBenchmarking.org

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per Watts2 x AMD EPYC 7F52 16-Core110022003300440055004949.18

x265

This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video Encoding2 x AMD EPYC 7F52 16-Core1326395265SE +/- 0.11, N = 557.781. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video Encoding2 x AMD EPYC 7F52 16-Core4080120160200SE +/- 0.83, N = 9196.331. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x AMD EPYC 7F52 16-Core70140210280350SE +/- 1.12, N = 9302.621. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x AMD EPYC 7F52 16-Core70140210280350SE +/- 1.80, N = 9313.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x AMD EPYC 7F52 16-Core60120180240300SE +/- 1.32, N = 9268.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace Time2 x AMD EPYC 7F52 16-Core48121620SE +/- 0.07, N = 314.571. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

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 Benchmark2 x AMD EPYC 7F52 16-Core80160240320400SE +/- 0.82, N = 3354.85

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 Protein2 x AMD EPYC 7F52 16-Core510152025SE +/- 0.30, N = 1520.211. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To Compile2 x AMD EPYC 7F52 16-Core150300450600750SE +/- 0.50, N = 3717.29

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: CPU2 x AMD EPYC 7F52 16-Core8K16K24K32K40KSE +/- 532.60, N = 438113

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: Crown2 x AMD EPYC 7F52 16-Core714212835SE +/- 0.11, N = 331.76MIN: 31.13 / MAX: 32.68

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x AMD EPYC 7F52 16-Core714212835SE +/- 0.08, N = 328.80MIN: 28.46 / MAX: 29.49

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon2 x AMD EPYC 7F52 16-Core816243240SE +/- 0.04, N = 332.96MIN: 32.7 / MAX: 33.44

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown2 x AMD EPYC 7F52 16-Core816243240SE +/- 0.04, N = 333.33MIN: 32.86 / MAX: 34.06

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj2 x AMD EPYC 7F52 16-Core714212835SE +/- 0.10, N = 330.18MIN: 29.82 / MAX: 30.79

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon2 x AMD EPYC 7F52 16-Core816243240SE +/- 0.32, N = 333.41MIN: 32.3 / MAX: 34.16

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression2 x AMD EPYC 7F52 16-Core4080120160200SE +/- 0.28, N = 3198.71

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 Times2 x AMD EPYC 7F52 16-Core2004006008001000SE +/- 1.45, N = 31008

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water Benchmark2 x AMD EPYC 7F52 16-Core1.00762.01523.02284.03045.038SE +/- 0.009, N = 34.4781. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 40962 x AMD EPYC 7F52 16-Core4K8K12K16K20KSE +/- 37.96, N = 3170421. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 10242 x AMD EPYC 7F52 16-Core8K16K24K32K40KSE +/- 130.33, N = 3391001. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 5122 x AMD EPYC 7F52 16-Core8K16K24K32K40KSE +/- 105.16, N = 6381611. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 2562 x AMD EPYC 7F52 16-Core8K16K24K32K40KSE +/- 159.24, N = 7390561. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 1282 x AMD EPYC 7F52 16-Core9K18K27K36K45KSE +/- 86.72, N = 9410691. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 642 x AMD EPYC 7F52 16-Core9K18K27K36K45KSE +/- 43.61, N = 10421051. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 322 x AMD EPYC 7F52 16-Core9K18K27K36K45KSE +/- 42.69, N = 11411601. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 40962 x AMD EPYC 7F52 16-Core11K22K33K44K55KSE +/- 471.88, N = 6509791. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 20482 x AMD EPYC 7F52 16-Core11K22K33K44K55KSE +/- 164.29, N = 7529001. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 10242 x AMD EPYC 7F52 16-Core11K22K33K44K55KSE +/- 419.85, N = 8515131. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 5122 x AMD EPYC 7F52 16-Core10K20K30K40K50KSE +/- 221.37, N = 8466881. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 2562 x AMD EPYC 7F52 16-Core8K16K24K32K40KSE +/- 306.79, N = 8356561. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 1282 x AMD EPYC 7F52 16-Core5K10K15K20K25KSE +/- 27.58, N = 10241221. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 642 x AMD EPYC 7F52 16-Core4K8K12K16K20KSE +/- 20.73, N = 10190081. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 322 x AMD EPYC 7F52 16-Core3K6K9K12K15KSE +/- 40.47, N = 9139791. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 40962 x AMD EPYC 7F52 16-Core13002600390052006500SE +/- 16.51, N = 35951.01. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 20482 x AMD EPYC 7F52 16-Core14002800420056007000SE +/- 8.55, N = 36327.71. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 10242 x AMD EPYC 7F52 16-Core15003000450060007500SE +/- 16.04, N = 47128.91. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 5122 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 2.76, N = 87784.91. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 2562 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 7.14, N = 97781.71. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 1282 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 12.21, N = 88033.11. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 642 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 2.68, N = 98633.01. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 322 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 27.57, N = 1110019.21. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 40962 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 6.31, N = 77886.11. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 20482 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 8.36, N = 88114.31. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 10242 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 3.37, N = 98403.11. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 5122 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 6.56, N = 108229.61. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 2562 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 16.14, N = 108140.91. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 1282 x AMD EPYC 7F52 16-Core16003200480064008000SE +/- 7.36, N = 87681.31. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 322 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 3.53, N = 11101291. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Floating-Point Arithmetic2 x AMD EPYC 7F52 16-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Integer Arithmetic2 x AMD EPYC 7F52 16-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Register Arithmetic2 x AMD EPYC 7F52 16-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 22 x AMD EPYC 7F52 16-Core9M18M27M36M45MSE +/- 461482.47, N = 639948332.9

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 Compile2 x AMD EPYC 7F52 16-Core714212835SE +/- 0.24, N = 1228.66

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 Compile2 x AMD EPYC 7F52 16-Core50100150200250SE +/- 0.59, N = 3219.24

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.8.9503Calculating 500M Pi Digits2 x AMD EPYC 7F52 16-Core3691215SE +/- 0.026, N = 49.995

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5.0Test: CPU Multi Core - Face Detection2 x AMD EPYC 7F52 16-Core70140210280350SE +/- 1.25, N = 3336.6

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5.0Test: CPU Multi Core - Gaussian Blur2 x AMD EPYC 7F52 16-Core0.33750.6751.01251.351.6875SE +/- 0.05, N = 31.50

OpenBenchmarking.orgScore, More Is BetterGeekbench 5.0Test: CPU Multi Core2 x AMD EPYC 7F52 16-Core7K14K21K28K35KSE +/- 434.91, N = 332651

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5.0Test: CPU Single Core - Horizon Detection2 x AMD EPYC 7F52 16-Core612182430SE +/- 0.06, N = 327.1

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5.0Test: CPU Single Core - Face Detection2 x AMD EPYC 7F52 16-Core3691215SE +/- 0.01, N = 39.68

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5.0Test: CPU Single Core - Gaussian Blur2 x AMD EPYC 7F52 16-Core1632486480SE +/- 0.13, N = 374.2

OpenBenchmarking.orgScore, More Is BetterGeekbench 5.0Test: CPU Single Core2 x AMD EPYC 7F52 16-Core30060090012001500SE +/- 0.88, N = 31180

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: OpenCL2 x AMD EPYC 7F52 16-Core100200300400500SE +/- 0.20, N = 3481.93

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Barbershop - Compute: CPU-Only2 x AMD EPYC 7F52 16-Core50100150200250SE +/- 0.28, N = 3208.74

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Pabellon Barcelona - Compute: OpenCL2 x AMD EPYC 7F52 16-Core2004006008001000SE +/- 2.83, N = 3959.15

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Pabellon Barcelona - Compute: CPU-Only2 x AMD EPYC 7F52 16-Core306090120150SE +/- 0.43, N = 3152.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: OpenCL2 x AMD EPYC 7F52 16-Core2004006008001000SE +/- 3.18, N = 3934.10

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: CPU-Only2 x AMD EPYC 7F52 16-Core1632486480SE +/- 0.12, N = 371.19

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Classroom - Compute: OpenCL2 x AMD EPYC 7F52 16-Core50100150200250SE +/- 2.02, N = 3205.06

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Classroom - Compute: CPU-Only2 x AMD EPYC 7F52 16-Core306090120150SE +/- 0.21, N = 3116.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: OpenCL2 x AMD EPYC 7F52 16-Core80160240320400SE +/- 1.97, N = 3354.53

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: CPU-Only2 x AMD EPYC 7F52 16-Core1020304050SE +/- 0.11, N = 346.16

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per Pixel2 x AMD EPYC 7F52 16-Core48121620SE +/- 0.01, N = 316.561. (CC) gcc options: -lm -lpthread -O3

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 Time2 x AMD EPYC 7F52 16-Core20M40M60M80M100MSE +/- 368391.64, N = 3834240331. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 0 - Input: 1080p2 x AMD EPYC 7F52 16-Core0.02630.05260.07890.10520.1315SE +/- 0.000, N = 30.1171. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080p2 x AMD EPYC 7F52 16-Core246810SE +/- 0.044, N = 47.6201. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080p2 x AMD EPYC 7F52 16-Core1326395265SE +/- 0.34, N = 559.591. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core306090120150SE +/- 2.02, N = 15148.51MIN: 120.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.20240.40480.60720.80961.012SE +/- 0.002533, N = 40.899507MIN: 0.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.11420.22840.34260.45680.571SE +/- 0.006203, N = 150.507539MIN: 0.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.3660.7321.0981.4641.83SE +/- 0.02393, N = 151.62663MIN: 1.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.39520.79041.18561.58081.976SE +/- 0.01729, N = 151.75649MIN: 1.551. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.44720.89441.34161.78882.236SE +/- 0.00730, N = 31.98769MIN: 1.841. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.52831.05661.58492.11322.6415SE +/- 0.03517, N = 152.34812MIN: 1.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.24160.48320.72480.96641.208SE +/- 0.00206, N = 71.07369MIN: 0.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Stream

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Triad2 x AMD EPYC 7F52 16-Core40K80K120K160K200KSE +/- 61.53, N = 5206058.61. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Add2 x AMD EPYC 7F52 16-Core40K80K120K160K200KSE +/- 60.85, N = 5200927.21. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Scale2 x AMD EPYC 7F52 16-Core40K80K120K160K200KSE +/- 33.84, N = 5186702.91. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Copy2 x AMD EPYC 7F52 16-Core40K80K120K160K200KSE +/- 401.15, N = 8191213.61. (CC) gcc options: -O3 -march=native -fopenmp

Sysbench

This is a benchmark of Sysbench with CPU and memory sub-tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPU2 x AMD EPYC 7F52 16-Core14K28K42K56K70KSE +/- 21.69, N = 565185.891. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance2 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 1.40, N = 39167.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SADD2 x AMD EPYC 7F52 16-Core400K800K1200K1600K2000KSE +/- 21151.09, N = 151701971.981. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPOP2 x AMD EPYC 7F52 16-Core300K600K900K1200K1500KSE +/- 13406.30, N = 151377584.281. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPUSH2 x AMD EPYC 7F52 16-Core300K600K900K1200K1500KSE +/- 11097.29, N = 151327559.491. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GET2 x AMD EPYC 7F52 16-Core400K800K1200K1600K2000KSE +/- 25018.88, N = 151823005.221. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SET2 x AMD EPYC 7F52 16-Core300K600K900K1200K1500KSE +/- 18486.20, N = 151511679.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: CG.C2 x AMD EPYC 7F52 16-Core10K20K30K40K50KSE +/- 558.56, N = 1545339.951. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x AMD EPYC 7F52 16-Core20K40K60K80K100KSE +/- 254.86, N = 10101847.591. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x AMD EPYC 7F52 16-Core5001000150020002500SE +/- 9.12, N = 32330.341. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x AMD EPYC 7F52 16-Core20K40K60K80K100KSE +/- 304.40, N = 3107983.531. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x AMD EPYC 7F52 16-Core13K26K39K52K65KSE +/- 288.72, N = 661478.801. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x AMD EPYC 7F52 16-Core6001200180024003000SE +/- 0.79, N = 32666.231. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x AMD EPYC 7F52 16-Core6001200180024003000SE +/- 3.34, N = 92659.801. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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 Atoms2 x AMD EPYC 7F52 16-Core0.15720.31440.47160.62880.786SE +/- 0.01037, N = 30.69882

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System Monitoring2 x AMD EPYC 7F52 16-Core120240360480600Min: 228 / Avg: 391.97 / Max: 707.4

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoring2 x AMD EPYC 7F52 16-Core1632486480Min: 28 / Avg: 51.86 / Max: 86.38

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System Monitoring2 x AMD EPYC 7F52 16-Core7001400210028003500Min: 1800 / Avg: 3606.6 / Max: 4236

Mlpack Benchmark

MinAvgMax2 x AMD EPYC 7F52 16-Core236.9328.8364.2OpenBenchmarking.orgWatts, Fewer Is BetterMlpack BenchmarkSystem Power Consumption Monitor100200300400500

MinAvgMax2 x AMD EPYC 7F52 16-Core41.648.053.1OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor1530456075

MinAvgMax2 x AMD EPYC 7F52 16-Core180036753935OpenBenchmarking.orgMegahertz, More Is BetterMlpack BenchmarkCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm2 x AMD EPYC 7F52 16-Core612182430SE +/- 0.70, N = 1526.72

FFTW

MinAvgMax2 x AMD EPYC 7F52 16-Core238.4335.0354.2OpenBenchmarking.orgWatts, Fewer Is BetterFFTW 3.3.6System Power Consumption Monitor100200300400500

MinAvgMax2 x AMD EPYC 7F52 16-Core35.343.353.6OpenBenchmarking.orgCelsius, Fewer Is BetterFFTW 3.3.6CPU Temperature Monitor1530456075

MinAvgMax2 x AMD EPYC 7F52 16-Core180038324018OpenBenchmarking.orgMegahertz, More Is BetterFFTW 3.3.6CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 20482 x AMD EPYC 7F52 16-Core2040608010080.34

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 20482 x AMD EPYC 7F52 16-Core6K12K18K24K30KSE +/- 567.46, N = 15269121. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

MinAvgMax2 x AMD EPYC 7F52 16-Core238.0286.2331.2OpenBenchmarking.orgWatts, Fewer Is BetterFFTW 3.3.6System Power Consumption Monitor80160240320400

MinAvgMax2 x AMD EPYC 7F52 16-Core38.342.446.8OpenBenchmarking.orgCelsius, Fewer Is BetterFFTW 3.3.6CPU Temperature Monitor1428425670

MinAvgMax2 x AMD EPYC 7F52 16-Core245738063910OpenBenchmarking.orgMegahertz, More Is BetterFFTW 3.3.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 642 x AMD EPYC 7F52 16-Core71421283530.83

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 642 x AMD EPYC 7F52 16-Core2K4K6K8K10KSE +/- 220.56, N = 158824.01. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Geekbench

MinAvgMax2 x AMD EPYC 7F52 16-Core236445680OpenBenchmarking.orgWatts, Fewer Is BetterGeekbench 5.0System Power Consumption Monitor2004006008001000

MinAvgMax2 x AMD EPYC 7F52 16-Core35.360.473.1OpenBenchmarking.orgCelsius, Fewer Is BetterGeekbench 5.0CPU Temperature Monitor20406080100

MinAvgMax2 x AMD EPYC 7F52 16-Core180038404186OpenBenchmarking.orgMegahertz, More Is BetterGeekbench 5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgGpixels/sec Per Watt, More Is BetterGeekbench 5.0Test: CPU Multi Core - Horizon Detection2 x AMD EPYC 7F52 16-Core0.44780.89561.34341.79122.2391.99

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5.0Test: CPU Multi Core - Horizon Detection2 x AMD EPYC 7F52 16-Core2004006008001000SE +/- 55.66, N = 3887.9

oneDNN

MinAvgMax2 x AMD EPYC 7F52 16-Core239490647OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 1.5System Power Consumption Monitor2004006008001000

MinAvgMax2 x AMD EPYC 7F52 16-Core34.457.568.5OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

MinAvgMax2 x AMD EPYC 7F52 16-Core180036564067OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core90180270360450SE +/- 7.64, N = 12397.66MIN: 339.431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

MinAvgMax2 x AMD EPYC 7F52 16-Core239.7447.7616.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 1.5System Power Consumption Monitor160320480640800

MinAvgMax2 x AMD EPYC 7F52 16-Core38.955.165.3OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

MinAvgMax2 x AMD EPYC 7F52 16-Core180137793910OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core3691215SE +/- 0.24, N = 1511.73MIN: 10.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

MinAvgMax2 x AMD EPYC 7F52 16-Core233462701OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 1.5System Power Consumption Monitor2004006008001000

MinAvgMax2 x AMD EPYC 7F52 16-Core36.553.764.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

MinAvgMax2 x AMD EPYC 7F52 16-Core180037993912OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core48121620SE +/- 0.70, N = 1517.92MIN: 13.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

MinAvgMax2 x AMD EPYC 7F52 16-Core238.5423.1555.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 1.5System Power Consumption Monitor140280420560700

MinAvgMax2 x AMD EPYC 7F52 16-Core38.050.757.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor1632486480

MinAvgMax2 x AMD EPYC 7F52 16-Core180034843900OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.32950.6590.98851.3181.6475SE +/- 0.04189, N = 121.46463MIN: 1.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

MinAvgMax2 x AMD EPYC 7F52 16-Core238.9441.3575.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 1.5System Power Consumption Monitor140280420560700

MinAvgMax2 x AMD EPYC 7F52 16-Core43.051.560.3OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor1632486480

MinAvgMax2 x AMD EPYC 7F52 16-Core180029163899OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.74551.4912.23652.9823.7275SE +/- 0.12816, N = 153.31350MIN: 2.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

MinAvgMax2 x AMD EPYC 7F52 16-Core240.4429.3618.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 1.5System Power Consumption Monitor160320480640800

MinAvgMax2 x AMD EPYC 7F52 16-Core38.050.159.6OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor1632486480

MinAvgMax2 x AMD EPYC 7F52 16-Core180034883900OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 1.5CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F52 16-Core0.81631.63262.44893.26524.0815SE +/- 0.57224, N = 153.62781MIN: 1.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Sysbench

MinAvgMax2 x AMD EPYC 7F52 16-Core238.4336.5407.6OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 2018-07-28System Power Consumption Monitor110220330440550

MinAvgMax2 x AMD EPYC 7F52 16-Core37.339.140.0OpenBenchmarking.orgCelsius, Fewer Is BetterSysbench 2018-07-28CPU Temperature Monitor1122334455

MinAvgMax2 x AMD EPYC 7F52 16-Core389939003901OpenBenchmarking.orgMegahertz, More Is BetterSysbench 2018-07-28CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: Memory2 x AMD EPYC 7F52 16-Core140028004200560070006329.14

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: Memory2 x AMD EPYC 7F52 16-Core500K1000K1500K2000K2500KSE +/- 33624.03, N = 152130007.281. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

NAS Parallel Benchmarks

MinAvgMax2 x AMD EPYC 7F52 16-Core233419689OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4System Power Consumption Monitor2004006008001000

MinAvgMax2 x AMD EPYC 7F52 16-Core52.157.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

MinAvgMax2 x AMD EPYC 7F52 16-Core180132734052OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x AMD EPYC 7F52 16-Core50100150200250247.98

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x AMD EPYC 7F52 16-Core20K40K60K80K100KSE +/- 1739.37, N = 15103802.191. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

MinAvgMax2 x AMD EPYC 7F52 16-Core329616703OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4System Power Consumption Monitor2004006008001000

MinAvgMax2 x AMD EPYC 7F52 16-Core64.874.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

MinAvgMax2 x AMD EPYC 7F52 16-Core389339234226OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x AMD EPYC 7F52 16-Core306090120150150.92

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x AMD EPYC 7F52 16-Core20K40K60K80K100KSE +/- 2610.09, N = 1592978.271. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

167 Results Shown

Meta Performance Per Watts
x265
x264
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
POV-Ray
Numpy Benchmark
LAMMPS Molecular Dynamics Simulator
Timed GCC Compilation
Chaos Group V-RAY
Embree:
  Pathtracer ISPC - Crown
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer - Crown
  Pathtracer - Asian Dragon Obj
  Pathtracer - Asian Dragon
Mlpack Benchmark
PyBench
GROMACS
FFTW:
  Float + SSE - 2D FFT Size 4096
  Float + SSE - 2D FFT Size 1024
  Float + SSE - 2D FFT Size 512
  Float + SSE - 2D FFT Size 256
  Float + SSE - 2D FFT Size 128
  Float + SSE - 2D FFT Size 64
  Float + SSE - 2D FFT Size 32
  Float + SSE - 1D FFT Size 4096
  Float + SSE - 1D FFT Size 2048
  Float + SSE - 1D FFT Size 1024
  Float + SSE - 1D FFT Size 512
  Float + SSE - 1D FFT Size 256
  Float + SSE - 1D FFT Size 128
  Float + SSE - 1D FFT Size 64
  Float + SSE - 1D FFT Size 32
  Stock - 2D FFT Size 4096
  Stock - 2D FFT Size 2048
  Stock - 2D FFT Size 1024
  Stock - 2D FFT Size 512
  Stock - 2D FFT Size 256
  Stock - 2D FFT Size 128
  Stock - 2D FFT Size 64
  Stock - 2D FFT Size 32
  Stock - 1D FFT Size 4096
  Stock - 1D FFT Size 2048
  Stock - 1D FFT Size 1024
  Stock - 1D FFT Size 512
  Stock - 1D FFT Size 256
  Stock - 1D FFT Size 128
  Stock - 1D FFT Size 32
BYTE Unix Benchmark:
  Floating-Point Arithmetic
  Integer Arithmetic
  Register Arithmetic
  Dhrystone 2
Timed Linux Kernel Compilation
Timed LLVM Compilation
Y-Cruncher
Geekbench:
  CPU Multi Core - Face Detection
  CPU Multi Core - Gaussian Blur
  CPU Multi Core
  CPU Single Core - Horizon Detection
  CPU Single Core - Face Detection
  CPU Single Core - Gaussian Blur
  CPU Single Core
Blender:
  Barbershop - OpenCL
  Barbershop - CPU-Only
  Pabellon Barcelona - OpenCL
  Pabellon Barcelona - CPU-Only
  Fishy Cat - OpenCL
  Fishy Cat - CPU-Only
  Classroom - OpenCL
  Classroom - CPU-Only
  BMW27 - OpenCL
  BMW27 - CPU-Only
C-Ray
Stockfish
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 8 - 1080p
oneDNN:
  Recurrent Neural Network Inference - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  IP Batch 1D - f32 - CPU
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
Stream:
  Triad
  Add
  Scale
  Copy
Sysbench
OpenSSL
Redis:
  SADD
  LPOP
  LPUSH
  GET
  SET
NAS Parallel Benchmarks:
  CG.C
  MG.C
  IS.D
  LU.C
  FT.C
  EP.D
  EP.C
NAMD
System Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
    Megahertz
  System Power Consumption Monitor:
    Watts
  CPU Temp Monitor:
    Celsius
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
Mlpack Benchmark
FFTW:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Float + SSE - 2D FFT Size 2048
FFTW
FFTW:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Stock - 1D FFT Size 64
FFTW
Geekbench:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  CPU Multi Core - Horizon Detection
Geekbench
oneDNN:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
oneDNN
oneDNN:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
oneDNN
oneDNN:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
oneDNN
oneDNN:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
oneDNN
oneDNN:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
oneDNN
oneDNN:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
oneDNN
Sysbench:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Memory
Sysbench
NAS Parallel Benchmarks:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  SP.B
NAS Parallel Benchmarks
NAS Parallel Benchmarks:
  System Power Consumption Monitor
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  BT.C
NAS Parallel Benchmarks