Pauls EPYC Redo 77422

2 x AMD EPYC 7742 64-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 2006295-NI-PAULSEPYC47
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2 x AMD EPYC 7742 64-Core
June 28 2020
  5 Hours, 57 Minutes
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Pauls EPYC Redo 77422OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 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 ResolutionPauls EPYC Redo 77422 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

Pauls EPYC Redo 77422blender: Pabellon Barcelona - OpenCLblender: Fishy Cat - OpenCLblender: Barbershop - OpenCLblender: BMW27 - OpenCLfftw: Float + SSE - 2D FFT Size 4096byte: Dhrystone 2mlpack: scikit_linearridgeregressionblender: Classroom - OpenCLfftw: Stock - 2D FFT Size 4096svt-av1: Enc Mode 0 - 1080pbuild-llvm: Time To Compileblender: Barbershop - CPU-Onlymlpack: scikit_svmfftw: Float + SSE - 2D FFT Size 2048byte: Integer Arithmeticbyte: Floating-Point Arithmeticbyte: Register Arithmeticblender: Pabellon Barcelona - CPU-Onlyfftw: Stock - 2D FFT Size 2048onednn: IP Batch All - f32 - CPUonednn: IP Batch All - u8s8f32 - CPUgromacs: Water Benchmarkredis: LPUSHredis: SETredis: SADDstockfish: Total Timeblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUfftw: Float + SSE - 2D FFT Size 1024blender: BMW27 - CPU-Onlypybench: Total For Average Test Timesonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUopenssl: RSA 4096-bit Performancenamd: ATPase Simulation - 327,506 Atomssvt-av1: Enc Mode 4 - 1080pnpb: EP.Dy-cruncher: Calculating 500M Pi Digitsonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch 1D - f32 - CPUfftw: Stock - 2D FFT Size 1024svt-av1: Enc Mode 8 - 1080pnpb: BT.Cstream: Copyonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUredis: GETredis: LPOPsysbench: CPUsysbench: Memorynpb: LU.Cnpb: IS.Dfftw: Float + SSE - 1D FFT Size 4096fftw: Float + SSE - 1D FFT Size 2048fftw: Float + SSE - 2D FFT Size 512fftw: Stock - 1D FFT Size 4096c-ray: Total Time - 4K, 16 Rays Per Pixelonednn: Convolution Batch Shapes Auto - f32 - CPUfftw: Float + SSE - 2D FFT Size 256fftw: Float + SSE - 1D FFT Size 1024fftw: Stock - 2D FFT Size 512onednn: Deconvolution Batch deconv_3d - f32 - CPUfftw: Stock - 1D FFT Size 2048fftw: Float + SSE - 1D FFT Size 512npb: FT.Cnpb: SP.Bnpb: CG.Cfftw: Float + SSE - 2D FFT Size 128fftw: Stock - 1D FFT Size 1024fftw: Stock - 2D FFT Size 256fftw: Float + SSE - 1D FFT Size 32fftw: Stock - 2D FFT Size 64fftw: Stock - 1D FFT Size 512fftw: Float + SSE - 1D FFT Size 64onednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUfftw: Float + SSE - 1D FFT Size 128fftw: Stock - 1D FFT Size 64fftw: Float + SSE - 2D FFT Size 64fftw: Float + SSE - 1D FFT Size 256npb: MG.Cfftw: Stock - 1D FFT Size 256fftw: Stock - 2D FFT Size 128fftw: Float + SSE - 2D FFT Size 32fftw: Stock - 2D FFT Size 32fftw: Stock - 1D FFT Size 32fftw: Stock - 1D FFT Size 128npb: EP.Cstream: Addstream: Triadstream: Scale2 x AMD EPYC 7742 64-Core1088.311048.86588.93400.661571535242187.2228.59231.485318.40.105195.574144.1728.402077111173.775570.421.873010.20418.3341299705.471534110.271696127.2523675791346.7244.661004.117376.4633426927.0911532.746912.213012.9270424890.00.260849.0098461.5514.2673.147572.069586253.386.955241482.30184819.70.7639370.8270132174159.672331103.25214875.50764622114.7571235826.234353.144417447018334626891.86.0480.73188633906446556795.52.744257079.140273108907.76116398.0549999.81360887312.36813.5121177528.57147.7165171.20007211298205.9366653063099974.267122.26999.0359288897.88832.66767.98140.38193641.0199693.6175933.3OpenBenchmarking.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 7742 64-Core2004006008001000SE +/- 4.64, N = 31088.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: OpenCL2 x AMD EPYC 7742 64-Core2004006008001000SE +/- 1.78, N = 31048.86

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Barbershop - Compute: OpenCL2 x AMD EPYC 7742 64-Core130260390520650SE +/- 4.46, N = 3588.93

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: OpenCL2 x AMD EPYC 7742 64-Core90180270360450SE +/- 1.38, N = 3400.66

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 7742 64-Core3K6K9K12K15KSE +/- 193.22, N = 3157151. (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: Dhrystone 22 x AMD EPYC 7742 64-Core8M16M24M32M40MSE +/- 362953.65, N = 835242187.2

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 7742 64-Core50100150200250SE +/- 2.20, N = 3228.59

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 7742 64-Core50100150200250SE +/- 1.50, N = 3231.48

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 7742 64-Core11002200330044005500SE +/- 9.37, N = 35318.41. (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 0 - Input: 1080p2 x AMD EPYC 7742 64-Core0.02360.04720.07080.09440.118SE +/- 0.000, N = 30.1051. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 7742 64-Core4080120160200SE +/- 0.53, N = 3195.57

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 7742 64-Core306090120150SE +/- 0.47, N = 3144.17

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 7742 64-Core714212835SE +/- 0.60, N = 1528.40

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 7742 64-Core4K8K12K16K20KSE +/- 268.11, N = 3207711. (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: Integer Arithmetic2 x AMD EPYC 7742 64-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Floating-Point Arithmetic2 x AMD EPYC 7742 64-Core0.2250.450.6750.91.1251

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Register Arithmetic2 x AMD EPYC 7742 64-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 7742 64-Core1632486480SE +/- 0.19, N = 373.77

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 7742 64-Core12002400360048006000SE +/- 34.05, N = 35570.41. (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 7742 64-Core510152025SE +/- 0.08, N = 321.87MIN: 18.641. (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 All - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7742 64-Core3691215SE +/- 0.02, N = 310.20MIN: 9.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 7742 64-Core246810SE +/- 0.104, N = 58.3341. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: LPUSH2 x AMD EPYC 7742 64-Core300K600K900K1200K1500KSE +/- 14918.14, N = 151299705.471. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SET2 x AMD EPYC 7742 64-Core300K600K900K1200K1500KSE +/- 21774.01, N = 151534110.271. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SADD2 x AMD EPYC 7742 64-Core400K800K1200K1600K2000KSE +/- 24020.68, N = 151696127.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -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 7742 64-Core50M100M150M200M250MSE +/- 1766557.68, N = 32367579131. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 7742 64-Core1122334455SE +/- 0.10, N = 346.72

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: CPU-Only2 x AMD EPYC 7742 64-Core1020304050SE +/- 0.38, N = 344.66

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 7742 64-Core2004006008001000SE +/- 11.67, N = 31004.12MIN: 890.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU2 x AMD EPYC 7742 64-Core80160240320400SE +/- 0.53, N = 3376.46MIN: 349.421. (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 7742 64-Core7K14K21K28K35KSE +/- 260.64, N = 3342691. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -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 7742 64-Core612182430SE +/- 0.15, N = 327.09

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 7742 64-Core2004006008001000SE +/- 2.52, N = 31153

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 7742 64-Core0.61811.23621.85432.47243.0905SE +/- 0.19711, N = 122.74691MIN: 0.791. (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 7742 64-Core0.49790.99581.49371.99162.4895SE +/- 0.00661, N = 32.21301MIN: 2.041. (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 7742 64-Core0.65861.31721.97582.63443.293SE +/- 0.00686, N = 32.92704MIN: 2.661. (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 7742 64-Core5K10K15K20K25KSE +/- 24.94, N = 324890.01. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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 7742 64-Core0.05870.11740.17610.23480.2935SE +/- 0.00168, N = 30.26084

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 7742 64-Core3691215SE +/- 0.025, N = 39.0091. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 7742 64-Core2K4K6K8K10KSE +/- 22.78, N = 38461.551. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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 7742 64-Core48121620SE +/- 0.02, N = 314.27

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU2 x AMD EPYC 7742 64-Core0.70821.41642.12462.83283.541SE +/- 0.01409, N = 33.14757MIN: 2.841. (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 7742 64-Core0.46570.93141.39711.86282.3285SE +/- 0.01313, N = 32.06958MIN: 1.841. (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 7742 64-Core13002600390052006500SE +/- 18.31, N = 36253.31. (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 7742 64-Core20406080100SE +/- 0.98, N = 386.961. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 7742 64-Core50K100K150K200K250KSE +/- 724.30, N = 3241482.301. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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 7742 64-Core40K80K120K160K200KSE +/- 419.54, N = 5184819.71. (CC) gcc options: -O3 -march=native -fopenmp

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 7742 64-Core0.17190.34380.51570.68760.8595SE +/- 0.010853, N = 30.763937MIN: 0.681. (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 7742 64-Core0.18610.37220.55830.74440.9305SE +/- 0.002264, N = 30.827013MIN: 0.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -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: GET2 x AMD EPYC 7742 64-Core500K1000K1500K2000K2500KSE +/- 16374.26, N = 32174159.671. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPOP2 x AMD EPYC 7742 64-Core500K1000K1500K2000K2500KSE +/- 10817.25, N = 32331103.251. (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: CPU2 x AMD EPYC 7742 64-Core50K100K150K200K250KSE +/- 234.83, N = 3214875.511. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: Memory2 x AMD EPYC 7742 64-Core1000K2000K3000K4000K5000KSE +/- 2131.08, N = 34622114.761. (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: LU.C2 x AMD EPYC 7742 64-Core50K100K150K200K250KSE +/- 1756.51, N = 3235826.231. (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: IS.D2 x AMD EPYC 7742 64-Core9001800270036004500SE +/- 63.92, N = 34353.141. (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: Float + SSE - Size: 1D FFT Size 40962 x AMD EPYC 7742 64-Core9K18K27K36K45KSE +/- 456.79, N = 3441741. (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 7742 64-Core10K20K30K40K50KSE +/- 191.44, N = 3470181. (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 7742 64-Core7K14K21K28K35KSE +/- 136.33, N = 3334621. (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 7742 64-Core15003000450060007500SE +/- 9.70, N = 36891.81. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 7742 64-Core246810SE +/- 0.010, N = 36.0481. (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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU2 x AMD EPYC 7742 64-Core0.16470.32940.49410.65880.8235SE +/- 0.000571, N = 30.731886MIN: 0.671. (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 2562 x AMD EPYC 7742 64-Core7K14K21K28K35KSE +/- 48.79, N = 3339061. (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 7742 64-Core10K20K30K40K50KSE +/- 730.08, N = 3446551. (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 7742 64-Core15003000450060007500SE +/- 4.84, N = 36795.51. (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 7742 64-Core0.61751.2351.85252.473.0875SE +/- 0.03237, N = 52.74425MIN: 2.431. (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: 1D FFT Size 20482 x AMD EPYC 7742 64-Core15003000450060007500SE +/- 15.92, N = 37079.11. (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 7742 64-Core9K18K27K36K45KSE +/- 353.76, N = 3402731. (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: FT.C2 x AMD EPYC 7742 64-Core20K40K60K80K100KSE +/- 1202.48, N = 3108907.761. (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: SP.B2 x AMD EPYC 7742 64-Core20K40K60K80K100KSE +/- 1045.74, N = 3116398.051. (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: CG.C2 x AMD EPYC 7742 64-Core11K22K33K44K55KSE +/- 204.92, N = 349999.811. (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: Float + SSE - Size: 2D FFT Size 1282 x AMD EPYC 7742 64-Core8K16K24K32K40KSE +/- 142.06, N = 3360881. (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 7742 64-Core16003200480064008000SE +/- 8.17, N = 37312.31. (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 2562 x AMD EPYC 7742 64-Core15003000450060007500SE +/- 19.12, N = 36813.51. (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 7742 64-Core3K6K9K12K15KSE +/- 111.25, N = 3121171. (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 7742 64-Core16003200480064008000SE +/- 6.03, N = 37528.51. (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 7742 64-Core15003000450060007500SE +/- 42.17, N = 37147.71. (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 7742 64-Core4K8K12K16K20KSE +/- 91.83, N = 3165171. (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 7742 64-Core0.270.540.811.081.35SE +/- 0.01456, N = 31.20007MIN: 1.061. (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: 1D FFT Size 1282 x AMD EPYC 7742 64-Core5K10K15K20K25KSE +/- 72.95, N = 3211291. (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 7742 64-Core2K4K6K8K10KSE +/- 2.97, N = 38205.91. (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: Float + SSE - Size: 2D FFT Size 642 x AMD EPYC 7742 64-Core8K16K24K32K40KSE +/- 174.39, N = 3366651. (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 7742 64-Core7K14K21K28K35KSE +/- 368.26, N = 3306301. (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 7742 64-Core20K40K60K80K100KSE +/- 761.18, N = 399974.261. (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 2562 x AMD EPYC 7742 64-Core15003000450060007500SE +/- 23.45, N = 37122.21. (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: 2D FFT Size 1282 x AMD EPYC 7742 64-Core15003000450060007500SE +/- 28.47, N = 36999.01. (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 7742 64-Core8K16K24K32K40KSE +/- 39.55, N = 3359281. (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 7742 64-Core2K4K6K8K10KSE +/- 1.42, N = 38897.81. (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 7742 64-Core2K4K6K8K10KSE +/- 10.99, N = 38832.61. (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 1282 x AMD EPYC 7742 64-Core15003000450060007500SE +/- 58.26, N = 36767.91. (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 7742 64-Core2K4K6K8K10KSE +/- 25.93, N = 38140.381. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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: Add2 x AMD EPYC 7742 64-Core40K80K120K160K200KSE +/- 482.59, N = 5193641.01. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Triad2 x AMD EPYC 7742 64-Core40K80K120K160K200KSE +/- 426.56, N = 5199693.61. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Scale2 x AMD EPYC 7742 64-Core40K80K120K160K200KSE +/- 246.48, N = 5175933.31. (CC) gcc options: -O3 -march=native -fopenmp

93 Results Shown

Blender:
  Pabellon Barcelona - OpenCL
  Fishy Cat - OpenCL
  Barbershop - OpenCL
  BMW27 - OpenCL
FFTW
BYTE Unix Benchmark
Mlpack Benchmark
Blender
FFTW
SVT-AV1
Timed LLVM Compilation
Blender
Mlpack Benchmark
FFTW
BYTE Unix Benchmark:
  Integer Arithmetic
  Floating-Point Arithmetic
  Register Arithmetic
Blender
FFTW
oneDNN:
  IP Batch All - f32 - CPU
  IP Batch All - u8s8f32 - CPU
GROMACS
Redis:
  LPUSH
  SET
  SADD
Stockfish
Blender:
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
FFTW
Blender
PyBench
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
OpenSSL
NAMD
SVT-AV1
NAS Parallel Benchmarks
Y-Cruncher
oneDNN:
  IP Batch 1D - u8s8f32 - CPU
  IP Batch 1D - f32 - CPU
FFTW
SVT-AV1
NAS Parallel Benchmarks
Stream
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Redis:
  GET
  LPOP
Sysbench:
  CPU
  Memory
NAS Parallel Benchmarks:
  LU.C
  IS.D
FFTW:
  Float + SSE - 1D FFT Size 4096
  Float + SSE - 1D FFT Size 2048
  Float + SSE - 2D FFT Size 512
  Stock - 1D FFT Size 4096
C-Ray
oneDNN
FFTW:
  Float + SSE - 2D FFT Size 256
  Float + SSE - 1D FFT Size 1024
  Stock - 2D FFT Size 512
oneDNN
FFTW:
  Stock - 1D FFT Size 2048
  Float + SSE - 1D FFT Size 512
NAS Parallel Benchmarks:
  FT.C
  SP.B
  CG.C
FFTW:
  Float + SSE - 2D FFT Size 128
  Stock - 1D FFT Size 1024
  Stock - 2D FFT Size 256
  Float + SSE - 1D FFT Size 32
  Stock - 2D FFT Size 64
  Stock - 1D FFT Size 512
  Float + SSE - 1D FFT Size 64
oneDNN
FFTW:
  Float + SSE - 1D FFT Size 128
  Stock - 1D FFT Size 64
  Float + SSE - 2D FFT Size 64
  Float + SSE - 1D FFT Size 256
NAS Parallel Benchmarks
FFTW:
  Stock - 1D FFT Size 256
  Stock - 2D FFT Size 128
  Float + SSE - 2D FFT Size 32
  Stock - 2D FFT Size 32
  Stock - 1D FFT Size 32
  Stock - 1D FFT Size 128
NAS Parallel Benchmarks
Stream:
  Add
  Triad
  Scale