8400 m

Intel Core i5-8400 testing with a MSI Z370M MORTAR (MS-7B54) v1.0 (1.80 BIOS) and MSI Intel UHD 630 3GB 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 2103223-IB-8400M557504
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8400 mProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution123Intel Core i5-8400 @ 4.00GHz (6 Cores)MSI Z370M MORTAR (MS-7B54) v1.0 (1.80 BIOS)Intel 8th Gen Core8GB512GB INTEL SSDPEKNW512G8MSI Intel UHD 630 3GB (1050MHz)Realtek ALC892DELL S2409WIntel I219-VUbuntu 20.045.9.0-050900rc7daily20200929-generic (x86_64) 20200928GNOME Shell 3.36.4X Server 1.20.94.6 Mesa 20.0.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.4.0m1100%100%101%101%102%Xcompact3d Incompact3dStockfishSysbenchTimed Mesa CompilationSVT-HEVCSVT-VP9Timed Node.js CompilationoneDNN

8400 mincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionsvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pstockfish: Total Timebuild-mesa: Time To Compilebuild-nodejs: Time To Compileonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUsysbench: RAM / Memorysysbench: CPU12343.8697395150.8872324.3163.17132.86116.51117.7494.871242364596.022868.8835.3826110.51663.323812.1409920.52637.381129.4117515.87803.166646.341044629.052569.744618.452557.473.753574548.602615.314.1956612559.868027.0543.0112292149.5557814.3263.20132.44116.36117.9694.911246206695.821869.0185.4140810.33763.323022.1435520.51567.360389.4369515.84023.170036.340224526.882556.444653.172601.073.754464647.002598.324.1860412654.758031.2443.8241310150.4975134.2863.33133.08116.64117.8894.551259610295.943869.2585.3550810.59813.326852.1340920.53187.353929.4217315.87773.171326.362464560.442560.054629.212568.633.753874588.832621.264.1846212635.668033.66OpenBenchmarking.org

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction1231020304050SE +/- 0.06, N = 3SE +/- 0.38, N = 3SE +/- 0.04, N = 343.8743.0143.821. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction123918273645Min: 43.79 / Avg: 43.87 / Max: 43.98Min: 42.24 / Avg: 43.01 / Max: 43.42Min: 43.77 / Avg: 43.82 / Max: 43.91. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction123306090120150SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3150.89149.56150.501. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction123306090120150Min: 150.6 / Avg: 150.89 / Max: 151.41Min: 149.49 / Avg: 149.56 / Max: 149.67Min: 150.43 / Avg: 150.5 / Max: 150.611. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p1230.9721.9442.9163.8884.86SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.314.324.281. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p123246810Min: 4.28 / Avg: 4.31 / Max: 4.33Min: 4.3 / Avg: 4.32 / Max: 4.34Min: 4.26 / Avg: 4.28 / Max: 4.311. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231428425670SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 363.1763.2063.331. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231224364860Min: 63.14 / Avg: 63.17 / Max: 63.19Min: 63.04 / Avg: 63.2 / Max: 63.38Min: 63.18 / Avg: 63.33 / Max: 63.431. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p123306090120150SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3132.86132.44133.081. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p12320406080100Min: 132.45 / Avg: 132.86 / Max: 133.13Min: 132.28 / Avg: 132.44 / Max: 132.68Min: 132.71 / Avg: 133.08 / Max: 133.631. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p123306090120150SE +/- 1.20, N = 3SE +/- 0.82, N = 3SE +/- 0.89, N = 3116.51116.36116.641. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p12320406080100Min: 114.16 / Avg: 116.51 / Max: 118.07Min: 114.9 / Avg: 116.36 / Max: 117.74Min: 114.88 / Avg: 116.64 / Max: 117.691. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 3117.74117.96117.881. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p12320406080100Min: 117.34 / Avg: 117.74 / Max: 117.97Min: 117.89 / Avg: 117.96 / Max: 118.04Min: 117.45 / Avg: 117.88 / Max: 118.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p12320406080100SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 394.8794.9194.551. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p12320406080100Min: 94.51 / Avg: 94.87 / Max: 95.41Min: 94.63 / Avg: 94.91 / Max: 95.17Min: 94.23 / Avg: 94.55 / Max: 94.81. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time1233M6M9M12M15MSE +/- 30828.18, N = 3SE +/- 19387.12, N = 3SE +/- 55803.38, N = 31242364512462066125961021. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time1232M4M6M8M10MMin: 12372533 / Avg: 12423644.67 / Max: 12479064Min: 12423435 / Avg: 12462065.67 / Max: 12484268Min: 12496247 / Avg: 12596102.33 / Max: 126892011. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile12320406080100SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 396.0295.8295.94
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile12320406080100Min: 95.75 / Avg: 96.02 / Max: 96.3Min: 95.61 / Avg: 95.82 / Max: 95.94Min: 95.87 / Avg: 95.94 / Max: 96.07

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile1232004006008001000SE +/- 0.27, N = 3SE +/- 0.34, N = 3SE +/- 0.25, N = 3868.88869.02869.26
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile123150300450600750Min: 868.43 / Avg: 868.88 / Max: 869.36Min: 868.37 / Avg: 869.02 / Max: 869.53Min: 868.78 / Avg: 869.26 / Max: 869.62

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1231.21822.43643.65464.87286.091SE +/- 0.03869, N = 3SE +/- 0.03388, N = 3SE +/- 0.00843, N = 35.382615.414085.35508MIN: 5.29MIN: 5.28MIN: 5.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810Min: 5.33 / Avg: 5.38 / Max: 5.46Min: 5.35 / Avg: 5.41 / Max: 5.45Min: 5.34 / Avg: 5.36 / Max: 5.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 310.5210.3410.60MIN: 10.39MIN: 10.22MIN: 10.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215Min: 10.48 / Avg: 10.52 / Max: 10.54Min: 10.31 / Avg: 10.34 / Max: 10.35Min: 10.55 / Avg: 10.6 / Max: 10.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.74851.4972.24552.9943.7425SE +/- 0.00143, N = 3SE +/- 0.00484, N = 3SE +/- 0.00512, N = 33.323813.323023.32685MIN: 3.3MIN: 3.3MIN: 3.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.32 / Avg: 3.32 / Max: 3.33Min: 3.32 / Avg: 3.32 / Max: 3.33Min: 3.32 / Avg: 3.33 / Max: 3.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.48230.96461.44691.92922.4115SE +/- 0.01543, N = 3SE +/- 0.00480, N = 3SE +/- 0.00779, N = 32.140992.143552.13409MIN: 2.09MIN: 2.1MIN: 2.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.12 / Avg: 2.14 / Max: 2.17Min: 2.14 / Avg: 2.14 / Max: 2.15Min: 2.12 / Avg: 2.13 / Max: 2.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 320.5320.5220.53MIN: 20.45MIN: 20.43MIN: 20.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025Min: 20.51 / Avg: 20.53 / Max: 20.56Min: 20.5 / Avg: 20.52 / Max: 20.54Min: 20.51 / Avg: 20.53 / Max: 20.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123246810SE +/- 0.03024, N = 3SE +/- 0.00323, N = 3SE +/- 0.00600, N = 37.381127.360387.35392MIN: 7.28MIN: 7.29MIN: 7.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215Min: 7.35 / Avg: 7.38 / Max: 7.44Min: 7.35 / Avg: 7.36 / Max: 7.37Min: 7.34 / Avg: 7.35 / Max: 7.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.03594, N = 3SE +/- 0.00908, N = 3SE +/- 0.01321, N = 39.411759.436959.42173MIN: 9.31MIN: 9.39MIN: 9.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215Min: 9.34 / Avg: 9.41 / Max: 9.45Min: 9.43 / Avg: 9.44 / Max: 9.46Min: 9.4 / Avg: 9.42 / Max: 9.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 315.8815.8415.88MIN: 15.61MIN: 15.56MIN: 15.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12348121620Min: 15.84 / Avg: 15.88 / Max: 15.91Min: 15.81 / Avg: 15.84 / Max: 15.89Min: 15.86 / Avg: 15.88 / Max: 15.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1230.71351.4272.14052.8543.5675SE +/- 0.00040, N = 3SE +/- 0.00367, N = 3SE +/- 0.00322, N = 33.166643.170033.17132MIN: 3.15MIN: 3.16MIN: 3.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.17 / Avg: 3.17 / Max: 3.17Min: 3.17 / Avg: 3.17 / Max: 3.18Min: 3.17 / Avg: 3.17 / Max: 3.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01367, N = 3SE +/- 0.01774, N = 3SE +/- 0.00393, N = 36.341046.340226.36246MIN: 6.3MIN: 6.29MIN: 6.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 6.32 / Avg: 6.34 / Max: 6.36Min: 6.31 / Avg: 6.34 / Max: 6.36Min: 6.36 / Avg: 6.36 / Max: 6.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12310002000300040005000SE +/- 64.56, N = 4SE +/- 65.83, N = 4SE +/- 76.24, N = 34629.054526.884560.44MIN: 4369.13MIN: 4352.66MIN: 4359.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1238001600240032004000Min: 4435.36 / Avg: 4629.05 / Max: 4694.62Min: 4408.87 / Avg: 4526.88 / Max: 4714.18Min: 4466.24 / Avg: 4560.44 / Max: 4711.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1236001200180024003000SE +/- 28.26, N = 3SE +/- 19.07, N = 3SE +/- 20.05, N = 32569.742556.442560.05MIN: 2535.13MIN: 2533.01MIN: 2534.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU123400800120016002000Min: 2539.3 / Avg: 2569.74 / Max: 2626.2Min: 2537.32 / Avg: 2556.44 / Max: 2594.58Min: 2538.49 / Avg: 2560.05 / Max: 2600.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12310002000300040005000SE +/- 59.35, N = 3SE +/- 72.81, N = 3SE +/- 57.69, N = 34618.454653.174629.21MIN: 4468.76MIN: 4471.26MIN: 4445.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1238001600240032004000Min: 4550.92 / Avg: 4618.45 / Max: 4736.75Min: 4513.49 / Avg: 4653.17 / Max: 4758.66Min: 4548.84 / Avg: 4629.21 / Max: 4741.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1236001200180024003000SE +/- 30.85, N = 3SE +/- 37.01, N = 3SE +/- 17.62, N = 32557.472601.072568.63MIN: 2499.68MIN: 2532.97MIN: 2535.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1235001000150020002500Min: 2517.26 / Avg: 2557.47 / Max: 2618.1Min: 2537.52 / Avg: 2601.07 / Max: 2665.72Min: 2541.71 / Avg: 2568.63 / Max: 2601.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1230.84481.68962.53443.37924.224SE +/- 0.00276, N = 3SE +/- 0.00001, N = 3SE +/- 0.00133, N = 33.753573.754463.75387MIN: 3.7MIN: 3.71MIN: 3.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 3.75 / Avg: 3.75 / Max: 3.76Min: 3.75 / Avg: 3.75 / Max: 3.75Min: 3.75 / Avg: 3.75 / Max: 3.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12310002000300040005000SE +/- 17.83, N = 3SE +/- 70.95, N = 3SE +/- 8.80, N = 34548.604647.004588.83MIN: 4424.13MIN: 4418.38MIN: 4444.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000Min: 4521.45 / Avg: 4548.6 / Max: 4582.21Min: 4506.81 / Avg: 4647 / Max: 4736.13Min: 4571.84 / Avg: 4588.83 / Max: 4601.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1236001200180024003000SE +/- 29.19, N = 3SE +/- 20.36, N = 15SE +/- 39.37, N = 32615.312598.322621.26MIN: 2557.11MIN: 2532.11MIN: 2560.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1235001000150020002500Min: 2566.33 / Avg: 2615.31 / Max: 2667.31Min: 2539.67 / Avg: 2598.32 / Max: 2864.9Min: 2563.96 / Avg: 2621.26 / Max: 2696.691. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1230.9441.8882.8323.7764.72SE +/- 0.00754, N = 3SE +/- 0.00107, N = 3SE +/- 0.00174, N = 34.195664.186044.18462MIN: 4.16MIN: 4.16MIN: 4.161. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.18 / Avg: 4.2 / Max: 4.21Min: 4.18 / Avg: 4.19 / Max: 4.19Min: 4.18 / Avg: 4.18 / Max: 4.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1233K6K9K12K15KSE +/- 59.06, N = 3SE +/- 68.62, N = 3SE +/- 94.65, N = 312559.8612654.7512635.661. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1232K4K6K8K10KMin: 12458.78 / Avg: 12559.86 / Max: 12663.33Min: 12544.86 / Avg: 12654.75 / Max: 12780.9Min: 12515.23 / Avg: 12635.66 / Max: 12822.361. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1232K4K6K8K10KSE +/- 3.68, N = 3SE +/- 1.68, N = 3SE +/- 0.35, N = 38027.058031.248033.661. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU12314002800420056007000Min: 8020.31 / Avg: 8027.05 / Max: 8032.97Min: 8028.67 / Avg: 8031.24 / Max: 8034.41Min: 8032.97 / Avg: 8033.66 / Max: 8034.111. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm