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.

HTML result view exported from: https://openbenchmarking.org/result/2103223-IB-8400M557504&gru&sor.

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

8400 msysbench: CPUsvt-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 1080psysbench: RAM / Memorystockfish: Total Timeonednn: 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 - CPUincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionbuild-mesa: Time To Compilebuild-nodejs: Time To Compile1238027.054.3163.17132.86116.51117.7494.8712559.86124236455.3826110.51663.323812.1409920.52637.381129.4117515.87803.166646.341044629.052569.744618.452557.473.753574548.602615.314.1956643.8697395150.88723296.022868.8838031.244.3263.20132.44116.36117.9694.9112654.75124620665.4140810.33763.323022.1435520.51567.360389.4369515.84023.170036.340224526.882556.444653.172601.073.754464647.002598.324.1860443.0112292149.55578195.821869.0188033.664.2863.33133.08116.64117.8894.5512635.66125961025.3550810.59813.326852.1340920.53187.353929.4217315.87773.171326.362464560.442560.054629.212568.633.753874588.832621.264.1846243.8241310150.49751395.943869.258OpenBenchmarking.org

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU3212K4K6K8K10KSE +/- 0.35, N = 3SE +/- 1.68, N = 3SE +/- 3.68, N = 38033.668031.248027.051. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2130.9721.9442.9163.8884.86SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.324.314.281. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p3211428425670SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 363.3363.2063.171. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p312306090120150SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3133.08132.86132.441. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p312306090120150SE +/- 0.89, N = 3SE +/- 1.20, N = 3SE +/- 0.82, N = 3116.64116.51116.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p231306090120150SE +/- 0.04, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3117.96117.88117.741. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p21320406080100SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 394.9194.8794.551. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Sysbench

Test: RAM / Memory

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory2313K6K9K12K15KSE +/- 68.62, N = 3SE +/- 94.65, N = 3SE +/- 59.06, N = 312654.7512635.6612559.861. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time3213M6M9M12M15MSE +/- 55803.38, N = 3SE +/- 19387.12, N = 3SE +/- 30828.18, N = 31259610212462066124236451. (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

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU3121.21822.43643.65464.87286.091SE +/- 0.00843, N = 3SE +/- 0.03869, N = 3SE +/- 0.03388, N = 35.355085.382615.41408MIN: 5.29MIN: 5.29MIN: 5.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2133691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.3410.5210.60MIN: 10.22MIN: 10.39MIN: 10.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2130.74851.4972.24552.9943.7425SE +/- 0.00484, N = 3SE +/- 0.00143, N = 3SE +/- 0.00512, N = 33.323023.323813.32685MIN: 3.3MIN: 3.3MIN: 3.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU3120.48230.96461.44691.92922.4115SE +/- 0.00779, N = 3SE +/- 0.01543, N = 3SE +/- 0.00480, N = 32.134092.140992.14355MIN: 2.09MIN: 2.09MIN: 2.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU213510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 320.5220.5320.53MIN: 20.43MIN: 20.45MIN: 20.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU321246810SE +/- 0.00600, N = 3SE +/- 0.00323, N = 3SE +/- 0.03024, N = 37.353927.360387.38112MIN: 7.28MIN: 7.29MIN: 7.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1323691215SE +/- 0.03594, N = 3SE +/- 0.01321, N = 3SE +/- 0.00908, N = 39.411759.421739.43695MIN: 9.31MIN: 9.36MIN: 9.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU23148121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 315.8415.8815.88MIN: 15.56MIN: 15.65MIN: 15.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU213246810SE +/- 0.01774, N = 3SE +/- 0.01367, N = 3SE +/- 0.00393, N = 36.340226.341046.36246MIN: 6.29MIN: 6.3MIN: 6.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU23110002000300040005000SE +/- 65.83, N = 4SE +/- 76.24, N = 3SE +/- 64.56, N = 44526.884560.444629.05MIN: 4352.66MIN: 4359.42MIN: 4369.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU2316001200180024003000SE +/- 19.07, N = 3SE +/- 20.05, N = 3SE +/- 28.26, N = 32556.442560.052569.74MIN: 2533.01MIN: 2534.6MIN: 2535.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU13210002000300040005000SE +/- 59.35, N = 3SE +/- 57.69, N = 3SE +/- 72.81, N = 34618.454629.214653.17MIN: 4468.76MIN: 4445.97MIN: 4471.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1326001200180024003000SE +/- 30.85, N = 3SE +/- 17.62, N = 3SE +/- 37.01, N = 32557.472568.632601.07MIN: 2499.68MIN: 2535.83MIN: 2532.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1320.84481.68962.53443.37924.224SE +/- 0.00276, N = 3SE +/- 0.00133, N = 3SE +/- 0.00001, N = 33.753573.753873.75446MIN: 3.7MIN: 3.7MIN: 3.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU13210002000300040005000SE +/- 17.83, N = 3SE +/- 8.80, N = 3SE +/- 70.95, N = 34548.604588.834647.00MIN: 4424.13MIN: 4444.6MIN: 4418.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU2136001200180024003000SE +/- 20.36, N = 15SE +/- 29.19, N = 3SE +/- 39.37, N = 32598.322615.312621.26MIN: 2532.11MIN: 2557.11MIN: 2560.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU3210.9441.8882.8323.7764.72SE +/- 0.00174, N = 3SE +/- 0.00107, N = 3SE +/- 0.00754, N = 34.184624.186044.19566MIN: 4.16MIN: 4.16MIN: 4.161. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction2311020304050SE +/- 0.38, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 343.0143.8243.871. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction231306090120150SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3149.56150.50150.891. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile23120406080100SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 395.8295.9496.02

Timed Node.js Compilation

Time To Compile

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

Phoronix Test Suite v10.8.5