ss4

Intel Core i9-7980XE testing with a ASRock X299E-ITX/ac (P1.60 BIOS) and llvmpipe 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 2107062-IB-SS498538552
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  Test
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sysbench-i9Ph10
July 05 2021
  7 Minutes
graphics-magick-i9Ph10
July 05 2021
  24 Minutes
ipc-benchmark-i9Ph10
July 05 2021
  4 Minutes
amg-i9Ph10
July 05 2021
  2 Minutes
ramspeed-i9Ph10
July 05 2021
  9 Minutes
ramspeed-i9Ph10-2
July 05 2021
  20 Minutes
npb-i9Ph10
July 05 2021
  5 Minutes
onednn-i9Ph10
July 05 2021
  39 Minutes
scimark-i9Ph10
July 05 2021
  2 Minutes
cachebench-19Ph10
July 05 2021
  19 Minutes
apache-i9Ph10
July 06 2021
  3 Minutes
ctx-clock-i9Ph10
July 06 2021
  1 Minute
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ss4OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-7980XE @ 4.40GHz (18 Cores / 36 Threads)ASRock X299E-ITX/ac (P1.60 BIOS)Intel Sky Lake-E DMI3 Registers32GB512GB Western Digital CL SN520 SDAPNUW-512G-1022llvmpipeRealtek ALC1220Intel I219-V + Intel I211 + 2 x Intel 10-Gigabit X540-AT2 + Intel 8265 / 8275Ubuntu 20.045.8.0-55-generic (x86_64)GNOME Shell 3.36.7X Server 1.20.9NVIDIA4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits)GCC 9.3.0ext43840x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionSs4 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x2006b06- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

ss4sysbench: CPUamg: graphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spaceramspeed: Add - Integerramspeed: Scale - Integerramspeed: Average - Integerramspeed: Add - Floating Pointramspeed: Scale - Floating Pointramspeed: Average - Floating Pointcachebench: Readcachebench: Writecachebench: Read / Modify / Writeipc-benchmark: TCP Socket - 128ipc-benchmark: TCP Socket - 1024ipc-benchmark: Unnamed Pipe - 128ipc-benchmark: Unnamed Pipe - 1024ipc-benchmark: FIFO Named Pipe - 128ipc-benchmark: FIFO Named Pipe - 1024ipc-benchmark: Unnamed Unix Domain Socket - 128ipc-benchmark: Unnamed Unix Domain Socket - 1024scimark2: Compositescimark2: Monte Carloscimark2: Fast Fourier Transformscimark2: Sparse Matrix Multiplyscimark2: Dense LU Matrix Factorizationscimark2: Jacobi Successive Over-Relaxationsysbench: RAM / Memoryapache: Static Web Page Servingnpb: EP.Cnpb: EP.Dctx-clock: Context Switch Timeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - 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: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - 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 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUsysbench-i9Ph10graphics-magick-i9Ph10ipc-benchmark-i9Ph10amg-i9Ph10ramspeed-i9Ph10ramspeed-i9Ph10-2npb-i9Ph10onednn-i9Ph10scimark-i9Ph10cachebench-19Ph10apache-i9Ph10ctx-clock-i9Ph1012520.7012623.7424475877125581155711161872012314281736829152904618001081547106110114298201342166376729880.8428949.5129409.0829791.0728949.6028998.3529206.7328492.5928905.771506.402072.0429.894360.18063.1982229.512415.335722.07399.3850410.26986.224218.692303.327603.756184016.912528.574016.0722.183231.225526.74282530.552.542614015.842529.351.858195.43817667.44145.14306.37759.82938.771187.123549.69723129727.11584648323.24402923584.15796OpenBenchmarking.org

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.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUsysbench-i9Ph103K6K9K12K15KSE +/- 3.16, N = 312520.701. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2amg-i9Ph1090M180M270M360M450MSE +/- 226558.75, N = 34216637671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirlgraphics-magick-i9Ph10501001502002502441. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotategraphics-magick-i9Ph10160320480640800SE +/- 8.25, N = 57581. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpengraphics-magick-i9Ph1020406080100SE +/- 0.33, N = 3771. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhancedgraphics-magick-i9Ph103060901201501251. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Resizinggraphics-magick-i9Ph10130260390520650SE +/- 0.58, N = 35811. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussiangraphics-magick-i9Ph103060901201501551. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Spacegraphics-magick-i9Ph10150300450600750SE +/- 1.20, N = 37111. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

RAMspeed SMP

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

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: Integerramspeed-i9Ph10ramspeed-i9Ph10-26K12K18K24K30KSE +/- 10.07, N = 3SE +/- 33.36, N = 329880.8429791.071. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: Integerramspeed-i9Ph10ramspeed-i9Ph10-26K12K18K24K30KSE +/- 19.97, N = 3SE +/- 11.65, N = 328949.5128949.601. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: Integerramspeed-i9Ph10ramspeed-i9Ph10-26K12K18K24K30KSE +/- 3.06, N = 3SE +/- 14.58, N = 329409.0828998.351. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: Floating Pointramspeed-i9Ph10-26K12K18K24K30KSE +/- 156.20, N = 329206.731. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: Floating Pointramspeed-i9Ph10-26K12K18K24K30KSE +/- 42.13, N = 328492.591. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: Floating Pointramspeed-i9Ph10-26K12K18K24K30KSE +/- 20.30, N = 328905.771. (CC) gcc options: -O3 -march=native

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Readcachebench-19Ph108001600240032004000SE +/- 0.10, N = 33549.70MIN: 3539.96 / MAX: 3554.411. (CC) gcc options: -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Writecachebench-19Ph106K12K18K24K30KSE +/- 4.33, N = 329727.12MIN: 26749.71 / MAX: 31785.281. (CC) gcc options: -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / Writecachebench-19Ph1010K20K30K40K50KSE +/- 5.12, N = 348323.24MIN: 43906.38 / MAX: 50885.741. (CC) gcc options: -lrt

IPC_benchmark

IPC_benchmark is a Linux inter-process communication benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: TCP Socket - Message Bytes: 128ipc-benchmark-i9Ph10300K600K900K1200K1500KSE +/- 1126.58, N = 31618720

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: TCP Socket - Message Bytes: 1024ipc-benchmark-i9Ph10300K600K900K1200K1500KSE +/- 7215.07, N = 31231428

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Pipe - Message Bytes: 128ipc-benchmark-i9Ph10400K800K1200K1600K2000KSE +/- 29706.06, N = 151736829

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Pipe - Message Bytes: 1024ipc-benchmark-i9Ph10300K600K900K1200K1500KSE +/- 21356.75, N = 31529046

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: FIFO Named Pipe - Message Bytes: 128ipc-benchmark-i9Ph10400K800K1200K1600K2000KSE +/- 25575.15, N = 31800108

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: FIFO Named Pipe - Message Bytes: 1024ipc-benchmark-i9Ph10300K600K900K1200K1500KSE +/- 5801.12, N = 31547106

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Unix Domain Socket - Message Bytes: 128ipc-benchmark-i9Ph10200K400K600K800K1000KSE +/- 1288.51, N = 31101142

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Unix Domain Socket - Message Bytes: 1024ipc-benchmark-i9Ph10200K400K600K800K1000KSE +/- 660.09, N = 3982013

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Compositescimark-i9Ph10140280420560700SE +/- 0.38, N = 3667.441. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte Carloscimark-i9Ph10306090120150SE +/- 0.02, N = 3145.141. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier Transformscimark-i9Ph1070140210280350SE +/- 0.93, N = 3306.371. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix Multiplyscimark-i9Ph10160320480640800SE +/- 0.38, N = 3759.821. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix Factorizationscimark-i9Ph102004006008001000SE +/- 0.62, N = 3938.771. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-Relaxationscimark-i9Ph1030060090012001500SE +/- 0.14, N = 31187.121. (CC) gcc options: -lm

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 / Memorysysbench-i9Ph103K6K9K12K15KSE +/- 43.24, N = 312623.741. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Apache Benchmark

This is a test of ab, which is the Apache benchmark program. This test profile measures how many requests per second a given system can sustain when carrying out 1,000,000 requests with 100 requests being carried out concurrently. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache Benchmark 2.4.29Static Web Page Servingapache-i9Ph105K10K15K20K25KSE +/- 18.01, N = 323584.151. (CC) gcc options: -shared -fPIC -O2 -pthread

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.Cnpb-i9Ph1030060090012001500SE +/- 14.95, N = 151506.401. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dnpb-i9Ph10400800120016002000SE +/- 11.23, N = 32072.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch Timectx-clock-i9Ph102004006008001000796

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: CPUonednn-i9Ph10714212835SE +/- 0.31, N = 329.89MIN: 17.051. (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: CPUonednn-i9Ph101326395265SE +/- 0.57, N = 360.18MIN: 27.051. (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: CPUonednn-i9Ph100.71961.43922.15882.87843.598SE +/- 0.00253, N = 33.19822MIN: 2.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUonednn-i9Ph10714212835SE +/- 0.24, N = 1529.51MIN: 4.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUonednn-i9Ph1048121620SE +/- 0.01, N = 315.34MIN: 14.731. (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: bf16bf16bf16 - Engine: CPUonednn-i9Ph10510152025SE +/- 0.20, N = 1522.07MIN: 6.981. (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: CPUonednn-i9Ph103691215SE +/- 0.00136, N = 39.38504MIN: 9.241. (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: CPUonednn-i9Ph103691215SE +/- 0.04, N = 310.27MIN: 7.431. (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: CPUonednn-i9Ph10246810SE +/- 0.00670, N = 36.22421MIN: 6.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUonednn-i9Ph10246810SE +/- 0.00069, N = 38.69230MIN: 8.51. (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: CPUonednn-i9Ph100.74871.49742.24612.99483.7435SE +/- 0.00103, N = 33.32760MIN: 2.811. (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: CPUonednn-i9Ph100.84511.69022.53533.38044.2255SE +/- 0.02427, N = 33.75618MIN: 3.641. (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: CPUonednn-i9Ph109001800270036004500SE +/- 0.94, N = 34016.91MIN: 3981.581. (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: CPUonednn-i9Ph105001000150020002500SE +/- 1.65, N = 32528.57MIN: 2493.371. (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: u8s8f32 - Engine: CPUonednn-i9Ph109001800270036004500SE +/- 1.46, N = 34016.07MIN: 3984.541. (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: bf16bf16bf16 - Engine: CPUonednn-i9Ph10510152025SE +/- 0.01, N = 322.18MIN: 21.951. (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: bf16bf16bf16 - Engine: CPUonednn-i9Ph10714212835SE +/- 0.01, N = 331.23MIN: 30.351. (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: bf16bf16bf16 - Engine: CPUonednn-i9Ph10612182430SE +/- 0.03, N = 326.74MIN: 26.271. (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: CPUonednn-i9Ph105001000150020002500SE +/- 0.81, N = 32530.55MIN: 2497.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUonednn-i9Ph100.57211.14421.71632.28842.8605SE +/- 0.00332, N = 32.54261MIN: 2.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUonednn-i9Ph109001800270036004500SE +/- 1.16, N = 34015.84MIN: 3980.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUonednn-i9Ph105001000150020002500SE +/- 1.04, N = 32529.35MIN: 2494.551. (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: CPUonednn-i9Ph100.41810.83621.25431.67242.0905SE +/- 0.00144, N = 31.85819MIN: 1.491. (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: bf16bf16bf16 - Engine: CPUonednn-i9Ph101.22362.44723.67084.89446.118SE +/- 0.00321, N = 35.43817MIN: 4.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

61 Results Shown

Sysbench
Algebraic Multi-Grid Benchmark
GraphicsMagick:
  Swirl
  Rotate
  Sharpen
  Enhanced
  Resizing
  Noise-Gaussian
  HWB Color Space
RAMspeed SMP:
  Add - Integer
  Scale - Integer
  Average - Integer
  Add - Floating Point
  Scale - Floating Point
  Average - Floating Point
CacheBench:
  Read
  Write
  Read / Modify / Write
IPC_benchmark:
  TCP Socket - 128
  TCP Socket - 1024
  Unnamed Pipe - 128
  Unnamed Pipe - 1024
  FIFO Named Pipe - 128
  FIFO Named Pipe - 1024
  Unnamed Unix Domain Socket - 128
  Unnamed Unix Domain Socket - 1024
SciMark:
  Composite
  Monte Carlo
  Fast Fourier Transform
  Sparse Matrix Multiply
  Dense LU Matrix Factorization
  Jacobi Successive Over-Relaxation
Sysbench
Apache Benchmark
NAS Parallel Benchmarks:
  EP.C
  EP.D
ctx_clock
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU