24Core

2 x AMD EPYC 7F72 24-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 2007101-NI-24CORE67309
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2 x AMD EPYC 7F72 24-Core
July 09 2020
  8 Hours, 13 Minutes
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24CoreOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads)Supermicro H11DSU-iN (2.1b BIOS)AMD Starship/Matisse504GB2 x 3841GB Micron_9200_MTFDHAL3T8TCTllvmpipe 504GB4 x Intel I350Ubuntu 20.045.4.0-40-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 Resolution24Core 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

24Coreblender: Pabellon Barcelona - OpenCLblender: Fishy Cat - OpenCLbuild-gcc: Time To Compileblender: Barbershop - OpenCLblender: BMW27 - OpenCLfftw: Float + SSE - 2D FFT Size 2048fftw: Float + SSE - 2D FFT Size 4096onednn: IP Batch All - f32 - CPUmlpack: scikit_linearridgeregressionnumpy: blender: Classroom - OpenCLbuild-llvm: Time To Compilefftw: Stock - 2D FFT Size 4096onednn: Recurrent Neural Network Training - f32 - CPUsvt-av1: Enc Mode 0 - 1080pblender: Barbershop - CPU-Onlygeekbench: CPU Multi Core - Horizon Detectiongeekbench: CPU Multi Core - Face Detectiongeekbench: CPU Multi Core - Gaussian Blurgeekbench: CPU Multi Coremlpack: scikit_svmbyte: Dhrystone 2byte: Floating-Point Arithmeticbyte: Integer Arithmeticbyte: Register Arithmeticblender: Pabellon Barcelona - CPU-Onlyonednn: Deconvolution Batch deconv_1d - f32 - CPUnpb: BT.Cblender: Classroom - CPU-Onlyv-ray: CPUbuild-linux-kernel: Time To Compileonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUblender: Fishy Cat - CPU-Onlystockfish: Total Timeonednn: IP Batch All - u8s8f32 - CPUgeekbench: CPU Single Core - Horizon Detectiongeekbench: CPU Single Core - Face Detectiongeekbench: CPU Single Core - Gaussian Blurgeekbench: CPU Single Coreredis: SETredis: GETfftw: Stock - 2D FFT Size 2048stream: Copyredis: LPOPredis: LPUSHredis: SADDsysbench: Memorygromacs: Water Benchmarkblender: BMW27 - CPU-Onlyonednn: Recurrent Neural Network Inference - f32 - CPUnamd: ATPase Simulation - 327,506 Atomsnpb: EP.Dembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer - Asian Dragon Objonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUfftw: Float + SSE - 2D FFT Size 1024pybench: Total For Average Test Timesembree: Pathtracer - Asian Dragononednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: IP Batch 1D - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUopenssl: RSA 4096-bit Performanceembree: Pathtracer ISPC - Crowny-cruncher: Calculating 500M Pi Digitsembree: Pathtracer - Crownsvt-av1: Enc Mode 4 - 1080ppovray: Trace Timex265: H.265 1080p Video Encodingnpb: LU.Cembree: Pathtracer ISPC - Asian Dragonsysbench: CPUnpb: FT.Cc-ray: Total Time - 4K, 16 Rays Per Pixelonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUfftw: Stock - 2D FFT Size 1024onednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUfftw: Float + SSE - 2D FFT Size 512svt-av1: Enc Mode 8 - 1080pfftw: Float + SSE - 1D FFT Size 2048fftw: Float + SSE - 1D FFT Size 4096fftw: Stock - 1D FFT Size 4096fftw: Float + SSE - 2D FFT Size 256fftw: Stock - 2D FFT Size 512fftw: Stock - 1D FFT Size 2048fftw: Float + SSE - 1D FFT Size 512fftw: Float + SSE - 1D FFT Size 1024fftw: Stock - 2D FFT Size 128fftw: Float + SSE - 2D FFT Size 128npb: SP.Bsvt-vp9: Visual Quality Optimized - Bosphorus 1080pfftw: Stock - 1D FFT Size 1024svt-vp9: VMAF Optimized - Bosphorus 1080pfftw: Float + SSE - 1D FFT Size 32fftw: Stock - 2D FFT Size 256fftw: Stock - 2D FFT Size 64fftw: Float + SSE - 1D FFT Size 256fftw: Float + SSE - 1D FFT Size 128onednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080px264: H.264 Video Encodingfftw: Float + SSE - 2D FFT Size 64npb: EP.Cfftw: Stock - 1D FFT Size 512fftw: Float + SSE - 1D FFT Size 64fftw: Stock - 1D FFT Size 64npb: MG.Cfftw: Stock - 1D FFT Size 128fftw: Stock - 1D FFT Size 256lammps: Rhodopsin Proteinfftw: Stock - 2D FFT Size 32fftw: Float + SSE - 2D FFT Size 32fftw: Stock - 1D FFT Size 32stream: Triadstream: Addstream: Scale2 x AMD EPYC 7F72 24-Core1005.74968.60727.009505.44371.37284581686319.3931208.29343.27209.74202.9395788.9432.1210.113164.26292.26472.71.574064726.4439057758.9111115.162.26958143148.6786.155620325.0350.48876158.941174577558.8786725.99.2069.511191551535.961878718.286373.8167365.31418979.191370019.671747641.583109595.03695.54236.46176.0020.411523999.8132.753634.72684.2731737390107839.68461.854241.528182.7981012991.843.172511.50245.93948.62511.03657.71168485.1137.988992719.140966684.4611.8510.7524976764.62.439760.8558433644864.85451012482017471.4367587396.77691.144669488867632.339096101356.36288.117957.8324.12132057368.38175.433200229841.38501333.09196.45397103906.987776.7180248934.087308.047314.37744.423.7479530.0390489610.7192261.6191065.1180732.9OpenBenchmarking.org

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: OpenCL2 x AMD EPYC 7F72 24-Core2004006008001000SE +/- 4.89, N = 31005.74

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: OpenCL2 x AMD EPYC 7F72 24-Core2004006008001000SE +/- 1.82, N = 3968.60

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 7F72 24-Core160320480640800SE +/- 0.21, N = 3727.01

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 7F72 24-Core110220330440550SE +/- 2.14, N = 3505.44

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: OpenCL2 x AMD EPYC 7F72 24-Core80160240320400SE +/- 1.44, N = 3371.37

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 20482 x AMD EPYC 7F72 24-Core6K12K18K24K30KSE +/- 452.18, N = 12284581. (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 40962 x AMD EPYC 7F72 24-Core4K8K12K16K20KSE +/- 40.58, N = 3168631. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core510152025SE +/- 0.19, N = 1519.39MIN: 16.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 7F72 24-Core50100150200250SE +/- 0.32, N = 3208.29

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 7F72 24-Core70140210280350SE +/- 2.31, N = 3343.27

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: OpenCL2 x AMD EPYC 7F72 24-Core50100150200250SE +/- 0.81, N = 3209.74

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 7F72 24-Core4080120160200SE +/- 2.19, N = 3202.94

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: Stock - Size: 2D FFT Size 40962 x AMD EPYC 7F72 24-Core12002400360048006000SE +/- 8.42, N = 35788.91. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core90180270360450SE +/- 4.74, N = 15432.12MIN: 396.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080p2 x AMD EPYC 7F72 24-Core0.02540.05080.07620.10160.127SE +/- 0.000, N = 30.1131. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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-Only2 x AMD EPYC 7F72 24-Core4080120160200SE +/- 0.26, N = 3164.26

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.orgGpixels/sec, More Is BetterGeekbench 5.0Test: CPU Multi Core - Horizon Detection2 x AMD EPYC 7F72 24-Core60120180240300SE +/- 291.12, N = 3292.26

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5.0Test: CPU Multi Core - Face Detection2 x AMD EPYC 7F72 24-Core100200300400500SE +/- 3.64, N = 3472.7

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5.0Test: CPU Multi Core - Gaussian Blur2 x AMD EPYC 7F72 24-Core0.35330.70661.05991.41321.7665SE +/- 0.06, N = 31.57

OpenBenchmarking.orgScore, More Is BetterGeekbench 5.0Test: CPU Multi Core2 x AMD EPYC 7F72 24-Core9K18K27K36K45KSE +/- 610.72, N = 340647

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm2 x AMD EPYC 7F72 24-Core612182430SE +/- 0.80, N = 1226.44

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: Dhrystone 22 x AMD EPYC 7F72 24-Core8M16M24M32M40MSE +/- 133031.37, N = 339057758.9

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Floating-Point Arithmetic2 x AMD EPYC 7F72 24-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Integer Arithmetic2 x AMD EPYC 7F72 24-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Register Arithmetic2 x AMD EPYC 7F72 24-Core0.2250.450.6750.91.1251

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-Only2 x AMD EPYC 7F72 24-Core306090120150SE +/- 0.44, N = 3115.16

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: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.51071.02141.53212.04282.5535SE +/- 0.02617, N = 152.26958MIN: 1.841. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -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: BT.C2 x AMD EPYC 7F72 24-Core30K60K90K120K150KSE +/- 3344.56, N = 13143148.671. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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-Only2 x AMD EPYC 7F72 24-Core20406080100SE +/- 0.22, N = 386.15

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 7F72 24-Core12K24K36K48K60KSE +/- 162.05, N = 356203

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 7F72 24-Core612182430SE +/- 0.26, N = 825.04

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.110.220.330.440.55SE +/- 0.006372, N = 150.488761MIN: 0.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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-Only2 x AMD EPYC 7F72 24-Core1326395265SE +/- 0.19, N = 358.94

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 7F72 24-Core30M60M90M120M150MSE +/- 935897.61, N = 31174577551. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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: IP Batch All - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core246810SE +/- 0.06082, N = 38.87867MIN: 8.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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.orgGpixels/sec, More Is BetterGeekbench 5.0Test: CPU Single Core - Horizon Detection2 x AMD EPYC 7F72 24-Core612182430SE +/- 0.03, N = 325.9

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5.0Test: CPU Single Core - Face Detection2 x AMD EPYC 7F72 24-Core3691215SE +/- 0.01, N = 39.20

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5.0Test: CPU Single Core - Gaussian Blur2 x AMD EPYC 7F72 24-Core1530456075SE +/- 0.46, N = 369.5

OpenBenchmarking.orgScore, More Is BetterGeekbench 5.0Test: CPU Single Core2 x AMD EPYC 7F72 24-Core2004006008001000SE +/- 0.88, N = 31119

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: SET2 x AMD EPYC 7F72 24-Core300K600K900K1200K1500KSE +/- 33093.57, N = 151551535.961. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GET2 x AMD EPYC 7F72 24-Core400K800K1200K1600K2000KSE +/- 49665.92, N = 151878718.281. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: Stock - Size: 2D FFT Size 20482 x AMD EPYC 7F72 24-Core14002800420056007000SE +/- 16.99, N = 36373.81. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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: Copy2 x AMD EPYC 7F72 24-Core40K80K120K160K200KSE +/- 3251.50, N = 25167365.31. (CC) gcc options: -O3 -march=native -fopenmp

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: LPOP2 x AMD EPYC 7F72 24-Core300K600K900K1200K1500KSE +/- 59187.07, N = 131418979.191. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPUSH2 x AMD EPYC 7F72 24-Core300K600K900K1200K1500KSE +/- 26148.61, N = 121370019.671. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SADD2 x AMD EPYC 7F72 24-Core400K800K1200K1600K2000KSE +/- 47396.92, N = 121747641.581. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: Memory2 x AMD EPYC 7F72 24-Core700K1400K2100K2800K3500KSE +/- 88433.92, N = 123109595.041. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

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 7F72 24-Core1.2472.4943.7414.9886.235SE +/- 0.019, N = 35.5421. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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-Only2 x AMD EPYC 7F72 24-Core816243240SE +/- 0.01, N = 336.46

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 7F72 24-Core4080120160200SE +/- 2.86, N = 3176.00MIN: 151.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 7F72 24-Core0.09260.18520.27780.37040.463SE +/- 0.00032, N = 30.41152

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.D2 x AMD EPYC 7F72 24-Core9001800270036004500SE +/- 8.55, N = 33999.811. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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 AMD EPYC 7F72 24-Core816243240SE +/- 0.16, N = 332.75MIN: 31.97 / MAX: 35.05

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj2 x AMD EPYC 7F72 24-Core816243240SE +/- 0.05, N = 334.73MIN: 34.06 / MAX: 36.79

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.96151.9232.88453.8464.8075SE +/- 0.21555, N = 154.27317MIN: 2.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

FFTW

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

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 10242 x AMD EPYC 7F72 24-Core8K16K24K32K40KSE +/- 30.51, N = 3373901. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 7F72 24-Core2004006008001000SE +/- 6.51, N = 31078

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 AMD EPYC 7F72 24-Core918273645SE +/- 0.12, N = 439.68MIN: 38.7 / MAX: 41.65

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: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.41720.83441.25161.66882.086SE +/- 0.00452, N = 31.85424MIN: 1.761. (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 7F72 24-Core0.34380.68761.03141.37521.719SE +/- 0.00907, N = 41.52818MIN: 1.291. (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: u8s8f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.62961.25921.88882.51843.148SE +/- 0.01627, N = 42.79810MIN: 2.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 7F72 24-Core3K6K9K12K15KSE +/- 22.63, N = 312991.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 7F72 24-Core1020304050SE +/- 0.29, N = 443.17MIN: 40.79 / MAX: 44.78

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 7F72 24-Core3691215SE +/- 0.09, N = 411.50

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: Crown2 x AMD EPYC 7F72 24-Core1020304050SE +/- 0.12, N = 445.94MIN: 44.62 / MAX: 47.76

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: 1080p2 x AMD EPYC 7F72 24-Core246810SE +/- 0.114, N = 48.6251. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 7F72 24-Core3691215SE +/- 0.02, N = 411.041. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

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 7F72 24-Core1326395265SE +/- 0.43, N = 557.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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.C2 x AMD EPYC 7F72 24-Core40K80K120K160K200KSE +/- 1185.50, N = 4168485.111. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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 AMD EPYC 7F72 24-Core918273645SE +/- 0.05, N = 337.99MIN: 37.29 / MAX: 40

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 7F72 24-Core20K40K60K80K100KSE +/- 26.00, N = 592719.141. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x AMD EPYC 7F72 24-Core14K28K42K56K70KSE +/- 731.63, N = 766684.461. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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 7F72 24-Core3691215SE +/- 0.01, N = 411.851. (CC) gcc options: -lm -lpthread -O3

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.16930.33860.50790.67720.8465SE +/- 0.003275, N = 40.752497MIN: 0.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

FFTW

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

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 10242 x AMD EPYC 7F72 24-Core14002800420056007000SE +/- 26.48, N = 46764.61. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.54891.09781.64672.19562.7445SE +/- 0.09005, N = 152.43976MIN: 1.961. (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 7F72 24-Core0.19260.38520.57780.77040.963SE +/- 0.006983, N = 70.855843MIN: 0.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

FFTW

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

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 5122 x AMD EPYC 7F72 24-Core8K16K24K32K40KSE +/- 76.91, N = 7364481. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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: 1080p2 x AMD EPYC 7F72 24-Core1428425670SE +/- 0.62, N = 564.851. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: 1D FFT Size 20482 x AMD EPYC 7F72 24-Core11K22K33K44K55KSE +/- 202.11, N = 7510121. (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 7F72 24-Core10K20K30K40K50KSE +/- 302.15, N = 7482011. (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 7F72 24-Core16003200480064008000SE +/- 11.10, N = 77471.41. (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 7F72 24-Core8K16K24K32K40KSE +/- 78.44, N = 7367581. (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 7F72 24-Core16003200480064008000SE +/- 6.60, N = 87396.71. (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: 1D FFT Size 20482 x AMD EPYC 7F72 24-Core16003200480064008000SE +/- 6.89, N = 87691.11. (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: Float + SSE - Size: 1D FFT Size 5122 x AMD EPYC 7F72 24-Core10K20K30K40K50KSE +/- 313.65, N = 8446691. (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 7F72 24-Core10K20K30K40K50KSE +/- 324.08, N = 7488861. (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 7F72 24-Core16003200480064008000SE +/- 9.71, N = 87632.31. (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: Float + SSE - Size: 2D FFT Size 1282 x AMD EPYC 7F72 24-Core8K16K24K32K40KSE +/- 69.82, N = 9390961. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x AMD EPYC 7F72 24-Core20K40K60K80K100KSE +/- 991.27, N = 8101356.361. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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: Visual Quality Optimized - Input: Bosphorus 1080p2 x AMD EPYC 7F72 24-Core60120180240300SE +/- 1.86, N = 9288.111. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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: Stock - Size: 1D FFT Size 10242 x AMD EPYC 7F72 24-Core2K4K6K8K10KSE +/- 5.59, N = 97957.81. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x AMD EPYC 7F72 24-Core70140210280350SE +/- 1.48, N = 9324.121. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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: 1D FFT Size 322 x AMD EPYC 7F72 24-Core3K6K9K12K15KSE +/- 69.72, N = 9132051. (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 7F72 24-Core16003200480064008000SE +/- 11.06, N = 97368.31. (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: 2D FFT Size 642 x AMD EPYC 7F72 24-Core2K4K6K8K10KSE +/- 17.47, N = 98175.41. (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 7F72 24-Core7K14K21K28K35KSE +/- 191.87, N = 9332001. (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 7F72 24-Core5K10K15K20K25KSE +/- 17.35, N = 10229841. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7F72 24-Core0.31160.62320.93481.24641.558SE +/- 0.01247, N = 91.38501MIN: 1.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x AMD EPYC 7F72 24-Core70140210280350SE +/- 1.64, N = 9333.091. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 7F72 24-Core4080120160200SE +/- 0.97, N = 9196.451. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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 642 x AMD EPYC 7F72 24-Core9K18K27K36K45KSE +/- 102.75, N = 10397101. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x AMD EPYC 7F72 24-Core8001600240032004000SE +/- 27.89, N = 103906.981. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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: Stock - Size: 1D FFT Size 5122 x AMD EPYC 7F72 24-Core17003400510068008500SE +/- 13.18, N = 97776.71. (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: Float + SSE - Size: 1D FFT Size 642 x AMD EPYC 7F72 24-Core4K8K12K16K20KSE +/- 28.46, N = 9180241. (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 642 x AMD EPYC 7F72 24-Core2K4K6K8K10KSE +/- 4.52, N = 98934.01. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x AMD EPYC 7F72 24-Core20K40K60K80K100KSE +/- 602.22, N = 1087308.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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: Stock - Size: 1D FFT Size 1282 x AMD EPYC 7F72 24-Core16003200480064008000SE +/- 26.90, N = 107314.31. (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 2562 x AMD EPYC 7F72 24-Core17003400510068008500SE +/- 13.27, N = 107744.41. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 7F72 24-Core612182430SE +/- 0.58, N = 1523.751. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -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: Stock - Size: 2D FFT Size 322 x AMD EPYC 7F72 24-Core2K4K6K8K10KSE +/- 32.63, N = 109530.01. (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: Float + SSE - Size: 2D FFT Size 322 x AMD EPYC 7F72 24-Core8K16K24K32K40KSE +/- 16.95, N = 10390481. (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 7F72 24-Core2K4K6K8K10KSE +/- 4.31, N = 109610.71. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System Monitoring2 x AMD EPYC 7F72 24-Core130260390520650Min: 223.5 / Avg: 371.93 / Max: 726.9

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoring2 x AMD EPYC 7F72 24-Core1530456075Min: 26.5 / Avg: 46.19 / Max: 77.38

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System Monitoring2 x AMD EPYC 7F72 24-Core7001400210028003500Min: 1800 / Avg: 3440.06 / Max: 4180

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per Watts2 x AMD EPYC 7F72 24-Core110022003300440055005037.81

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 7F72 24-Core40K80K120K160K200KSE +/- 5530.22, N = 5192261.61. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Add2 x AMD EPYC 7F72 24-Core40K80K120K160K200KSE +/- 3346.40, N = 5191065.11. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Scale2 x AMD EPYC 7F72 24-Core40K80K120K160K200KSE +/- 850.33, N = 5180732.91. (CC) gcc options: -O3 -march=native -fopenmp

120 Results Shown

Blender:
  Pabellon Barcelona - OpenCL
  Fishy Cat - OpenCL
Timed GCC Compilation
Blender:
  Barbershop - OpenCL
  BMW27 - OpenCL
FFTW:
  Float + SSE - 2D FFT Size 2048
  Float + SSE - 2D FFT Size 4096
oneDNN
Mlpack Benchmark
Numpy Benchmark
Blender
Timed LLVM Compilation
FFTW
oneDNN
SVT-AV1
Blender
Geekbench:
  CPU Multi Core - Horizon Detection
  CPU Multi Core - Face Detection
  CPU Multi Core - Gaussian Blur
  CPU Multi Core
Mlpack Benchmark
BYTE Unix Benchmark:
  Dhrystone 2
  Floating-Point Arithmetic
  Integer Arithmetic
  Register Arithmetic
Blender
oneDNN
NAS Parallel Benchmarks
Blender
Chaos Group V-RAY
Timed Linux Kernel Compilation
oneDNN
Blender
Stockfish
oneDNN
Geekbench:
  CPU Single Core - Horizon Detection
  CPU Single Core - Face Detection
  CPU Single Core - Gaussian Blur
  CPU Single Core
Redis:
  SET
  GET
FFTW
Stream
Redis:
  LPOP
  LPUSH
  SADD
Sysbench
GROMACS
Blender
oneDNN
NAMD
NAS Parallel Benchmarks
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer - Asian Dragon Obj
oneDNN
FFTW
PyBench
Embree
oneDNN:
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  IP Batch 1D - f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
OpenSSL
Embree
Y-Cruncher
Embree
SVT-AV1
POV-Ray
x265
NAS Parallel Benchmarks
Embree
Sysbench
NAS Parallel Benchmarks
C-Ray
oneDNN
FFTW
oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
FFTW
SVT-AV1
FFTW:
  Float + SSE - 1D FFT Size 2048
  Float + SSE - 1D FFT Size 4096
  Stock - 1D FFT Size 4096
  Float + SSE - 2D FFT Size 256
  Stock - 2D FFT Size 512
  Stock - 1D FFT Size 2048
  Float + SSE - 1D FFT Size 512
  Float + SSE - 1D FFT Size 1024
  Stock - 2D FFT Size 128
  Float + SSE - 2D FFT Size 128
NAS Parallel Benchmarks
SVT-VP9
FFTW
SVT-VP9
FFTW:
  Float + SSE - 1D FFT Size 32
  Stock - 2D FFT Size 256
  Stock - 2D FFT Size 64
  Float + SSE - 1D FFT Size 256
  Float + SSE - 1D FFT Size 128
oneDNN
SVT-VP9
x264
FFTW
NAS Parallel Benchmarks
FFTW:
  Stock - 1D FFT Size 512
  Float + SSE - 1D FFT Size 64
  Stock - 1D FFT Size 64
NAS Parallel Benchmarks
FFTW:
  Stock - 1D FFT Size 128
  Stock - 1D FFT Size 256
LAMMPS Molecular Dynamics Simulator
FFTW:
  Stock - 2D FFT Size 32
  Float + SSE - 2D FFT Size 32
  Stock - 1D FFT Size 32
System Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
    Megahertz
  Performance Per Watts:
    Performance Per Watts
Stream:
  Triad
  Add
  Scale