avx512 onednn 3.0 ryzen 9 7950x

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0805 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 22.04 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 2212204-PTS-AVX512ON17
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December 19 2022
  44 Minutes
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December 20 2022
  12 Minutes
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  12 Minutes
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December 20 2022
  12 Minutes
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avx512 onednn 3.0 ryzen 9 7950xOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (3220/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.045.15.0-56-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (LLVM 15.0.3 DRM 3.49)OpenCL 2.1 AMD-APP (3513.0)GCC 11.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionAvx512 Onednn 3.0 Ryzen 9 7950x BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abccdResult OverviewPhoronix Test Suite100%121%143%164%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNND.B.s - f32 - CPUIP Shapes 1D - u8s8f32 - CPUIP Shapes 1D - bf16bf16bf16 - CPUIP Shapes 3D - u8s8f32 - CPUD.B.s - f32 - CPUR.N.N.I - bf16bf16bf16 - CPUIP Shapes 1D - f32 - CPUIP Shapes 3D - bf16bf16bf16 - CPUC.B.S.A - u8s8f32 - CPUM.M.B.S.T - bf16bf16bf16 - CPUIP Shapes 3D - f32 - CPUD.B.s - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUR.N.N.I - u8s8f32 - CPUD.B.s - u8s8f32 - CPUM.M.B.S.T - f32 - CPUM.M.B.S.T - u8s8f32 - CPUR.N.N.T - f32 - CPUR.N.N.I - f32 - CPUR.N.N.T - u8s8f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUC.B.S.A - f32 - CPUC.B.S.A - bf16bf16bf16 - CPU

avx512 onednn 3.0 ryzen 9 7950xonednn: 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 - CPUabccd1.719733.249450.4580290.3420680.7025721.547035.603864.361352.364135.203790.4217980.5878321135.50580.9951136.911.697243.343451.41319580.5800.4368871135.35582.3780.1297730.2097251.712473.234680.3571620.3297740.7685431.571455.606733.763112.558665.196290.4208270.5869891129.74583.0661133.91.696553.375541.40158582.9570.4397011135.16576.9640.1304030.2123611.728273.270780.3576730.3680810.6313681.570795.611892.568382.359255.223470.4206170.5848071135.82582.2471133.541.698673.36731.40127579.4340.4387631132.81569.8450.1299290.2119331.745233.237470.3687890.3769150.7180841.545885.607814.772972.355225.271470.4208220.5886751134.55581.6661134.221.696533.367231.39831583.7520.4392011134.7583.7670.1296580.210342OpenBenchmarking.org

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabccd0.39270.78541.17811.57081.9635SE +/- 0.00347, N = 31.719731.712471.728271.74523MIN: 1.53MIN: 1.52MIN: 1.53MIN: 1.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabccd0.73591.47182.20772.94363.6795SE +/- 0.01389, N = 33.249453.234683.270783.23747MIN: 3.18MIN: 3.18MIN: 3.21MIN: 3.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUabccd0.10310.20620.30930.41240.5155SE +/- 0.022723, N = 120.4580290.3571620.3576730.368789MIN: 0.34MIN: 0.34MIN: 0.34MIN: 0.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUabccd0.08480.16960.25440.33920.424SE +/- 0.003911, N = 150.3420680.3297740.3680810.376915MIN: 0.29MIN: 0.3MIN: 0.32MIN: 0.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUabccd0.17290.34580.51870.69160.8645SE +/- 0.021497, N = 150.7025720.7685430.6313680.718084MIN: 0.58MIN: 0.67MIN: 0.58MIN: 0.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUabccd0.35360.70721.06081.41441.768SE +/- 0.01845, N = 41.547031.571451.570791.54588MIN: 1.42MIN: 1.45MIN: 1.44MIN: 1.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabccd1.26272.52543.78815.05086.3135SE +/- 0.00957, N = 35.603865.606735.611895.60781MIN: 5.51MIN: 5.51MIN: 5.52MIN: 5.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabccd1.07392.14783.22174.29565.3695SE +/- 0.31165, N = 124.361353.763112.568384.77297MIN: 2.42MIN: 2.45MIN: 2.39MIN: 2.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabccd0.57571.15141.72712.30282.8785SE +/- 0.00179, N = 32.364132.558662.359252.35522MIN: 2.28MIN: 2.29MIN: 2.28MIN: 2.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUabccd1.18612.37223.55834.74445.9305SE +/- 0.00451, N = 35.203795.196295.223475.27147MIN: 5.11MIN: 5.13MIN: 5.13MIN: 5.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUabccd0.09490.18980.28470.37960.4745SE +/- 0.000955, N = 30.4217980.4208270.4206170.420822MIN: 0.4MIN: 0.4MIN: 0.4MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUabccd0.13250.2650.39750.530.6625SE +/- 0.000795, N = 30.5878320.5869890.5848070.588675MIN: 0.57MIN: 0.57MIN: 0.56MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabccd2004006008001000SE +/- 2.11, N = 31135.501129.741135.821134.55MIN: 1125.5MIN: 1125.41MIN: 1130.28MIN: 1129.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabccd130260390520650SE +/- 1.72, N = 3581.00583.07582.25581.67MIN: 572.88MIN: 576.88MIN: 576.12MIN: 576.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUabccd2004006008001000SE +/- 1.06, N = 31136.911133.901133.541134.22MIN: 1128.7MIN: 1128.93MIN: 1127.45MIN: 1128.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUabccd0.38220.76441.14661.52881.911SE +/- 0.00009, N = 31.697241.696551.698671.69653MIN: 1.65MIN: 1.65MIN: 1.65MIN: 1.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUabccd0.75951.5192.27853.0383.7975SE +/- 0.02067, N = 33.343453.375543.367303.36723MIN: 3.18MIN: 3.27MIN: 3.26MIN: 3.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUabccd0.3180.6360.9541.2721.59SE +/- 0.00885, N = 31.413191.401581.401271.39831MIN: 1.35MIN: 1.36MIN: 1.36MIN: 1.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUabccd130260390520650SE +/- 1.94, N = 3580.58582.96579.43583.75MIN: 571.58MIN: 577.42MIN: 573.74MIN: 577.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUabccd0.09890.19780.29670.39560.4945SE +/- 0.001916, N = 30.4368870.4397010.4387630.439201MIN: 0.42MIN: 0.42MIN: 0.42MIN: 0.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUabccd2004006008001000SE +/- 0.68, N = 31135.351135.161132.811134.70MIN: 1128.23MIN: 1129.54MIN: 1127.61MIN: 1129.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUabccd130260390520650SE +/- 1.08, N = 3582.38576.96569.85583.77MIN: 574.3MIN: 571.43MIN: 566.12MIN: 578.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUabccd0.02930.05860.08790.11720.1465SE +/- 0.000417, N = 30.1297730.1304030.1299290.129658MIN: 0.12MIN: 0.12MIN: 0.12MIN: 0.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUabccd0.04780.09560.14340.19120.239SE +/- 0.001018, N = 30.2097250.2123610.2119330.210342MIN: 0.2MIN: 0.2MIN: 0.2MIN: 0.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl