tr onednn 3.1

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.04 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 2303314-PTS-TRONEDNN36
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March 31 2023
  40 Minutes
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March 31 2023
  11 Minutes
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March 31 2023
  11 Minutes
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March 31 2023
  11 Minutes
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tr onednn 3.1OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Ubuntu 23.046.2.0-18-generic (x86_64)GNOME Shell 44.0X Server + Wayland4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.49)4.6 Mesa 23.0.1 (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLsCompilerFile-SystemScreen ResolutionTr Onednn 3.1 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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-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 schedutil (Boost: Enabled) - CPU Microcode: 0x8301055- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdLogarithmic Result OverviewPhoronix Test SuiteoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNIP Shapes 1D - u8s8f32 - CPUIP Shapes 3D - u8s8f32 - CPUIP Shapes 1D - f32 - CPUIP Shapes 3D - f32 - CPUC.B.S.A - f32 - CPUD.B.s - f32 - CPUD.B.s - u8s8f32 - CPUC.B.S.A - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUD.B.s - u8s8f32 - CPUR.N.N.I - f32 - CPUD.B.s - f32 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.T - f32 - CPU

tr onednn 3.1onednn: 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: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUabcd3.690766.4774511.598893.486000.91937010.489512.086906.484931.786200.9891344011.41859.0984024.21856.7224042.59844.9782.432376.376743.604121.091220.92333310.90272.072026.545031.762020.978773998.12844.4624014.98858.4044007.14864.2092.425988.334052.607511.138271.0278310.23842.108766.62891.825920.9640884018.1857.9074008.56850.44027.35858.7551.570438.415062.333341.146150.9674489.815092.084856.669971.747410.9788194017.57839.1764001.77862.3044010.35841.923OpenBenchmarking.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 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUdcba0.83041.66082.49123.32164.152SE +/- 0.06973, N = 121.570432.425982.432373.69076MIN: 1.39MIN: 2MIN: 1.98MIN: 2.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUdcba246810SE +/- 0.01580, N = 38.415068.334056.376746.47745MIN: 8.3MIN: 8.22MIN: 6.23MIN: 5.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUdcba3691215SE +/- 1.62613, N = 122.333342.607513.6041211.59889MIN: 1.99MIN: 2.14MIN: 2.35MIN: 1.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUdcba0.78441.56882.35323.13763.922SE +/- 0.52175, N = 151.146151.138271.091223.48600MIN: 1.04MIN: 1.05MIN: 0.99MIN: 0.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUdcba0.23130.46260.69390.92521.1565SE +/- 0.002441, N = 30.9674481.0278300.9233330.919370MIN: 0.89MIN: 0.94MIN: 0.86MIN: 0.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUdcba3691215SE +/- 0.09699, N = 79.8150910.2384010.9027010.48951MIN: 8.37MIN: 8.5MIN: 8.81MIN: 8.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUdcba0.47450.9491.42351.8982.3725SE +/- 0.01000, N = 32.084852.108762.072022.08690MIN: 2.03MIN: 2.03MIN: 2.02MIN: 2.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUdcba246810SE +/- 0.00405, N = 36.669976.628906.545036.48493MIN: 6.56MIN: 6.52MIN: 6.43MIN: 6.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUdcba0.41080.82161.23241.64322.054SE +/- 0.01827, N = 31.747411.825921.762021.78620MIN: 1.49MIN: 1.5MIN: 1.54MIN: 1.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUdcba0.22260.44520.66780.89041.113SE +/- 0.001428, N = 30.9788190.9640880.9787700.989134MIN: 0.92MIN: 0.9MIN: 0.92MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUdcba9001800270036004500SE +/- 6.72, N = 34017.574018.103998.124011.41MIN: 3992.22MIN: 3995.65MIN: 3974.85MIN: 3977.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUdcba2004006008001000SE +/- 6.16, N = 3839.18857.91844.46859.10MIN: 821.06MIN: 840.05MIN: 828.46MIN: 831.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUdcba9001800270036004500SE +/- 9.26, N = 34001.774008.564014.984024.21MIN: 3979.09MIN: 3987.06MIN: 3992.86MIN: 3990.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

d: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUdcba2004006008001000SE +/- 8.46, N = 3862.30850.40858.40856.72MIN: 844.3MIN: 834.24MIN: 842.21MIN: 825.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUdcba9001800270036004500SE +/- 7.92, N = 34010.354027.354007.144042.59MIN: 3987.69MIN: 4005.47MIN: 3981.44MIN: 4009.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUdcba2004006008001000SE +/- 3.68, N = 3841.92858.76864.21844.98MIN: 825.42MIN: 842.97MIN: 847.67MIN: 824.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread