onednn tgl

Intel Core i5-1145G7 testing with a LENOVO 20XW004AUS (N32ET71W 1.47 BIOS) and Intel Xe TGL GT2 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 2203301-NE-ONEDNNTGL27
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March 30 2022
  1 Hour, 5 Minutes
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March 30 2022
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March 30 2022
  1 Hour, 6 Minutes
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onednn tgl - Phoronix Test Suite

onednn tgl

Intel Core i5-1145G7 testing with a LENOVO 20XW004AUS (N32ET71W 1.47 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2203301-NE-ONEDNNTGL27&sor&grt.

onednn tglProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCIntel Core i5-1145G7 @ 4.40GHz (4 Cores / 8 Threads)LENOVO 20XW004AUS (N32ET71W 1.47 BIOS)Intel Device a0ef16GB1024GB SAMSUNG MZVLB1T0HBLR-000H1Intel Xe TGL GT2 3GB (1300MHz)Realtek ALC287Intel Device a0f0Ubuntu 20.045.14.0-1027-oem (x86_64)GNOME Shell 3.36.9X Server 1.20.134.6 Mesa 21.2.61.2.182GCC 9.4.0ext41920x1200OpenBenchmarking.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-yTrUTS/gcc-9-9.4.0/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 (EPP: balance_performance) - Platform Profile: balanced - CPU Microcode: 0x88 - ACPI Profile: balanced Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

onednn tglonednn: 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 - CPUABC8.462085.409661.953012.1101819.83796.116739.4130817.698210.17127.008963.009062.410329343.974767.339344.9938.035963.555638.26924762.613.975989342.564760.201.7017412.274948.956695.406292.082772.2884219.83536.311369.9973618.30139.93067.616263.037812.357669342.434768.469347.9137.973963.928438.31144762.943.975779340.034762.011.7089712.198829.517345.452162.169092.2978619.80156.3516010.5153118.21099.824877.637503.075912.340119341.054759.639346.8237.960964.460838.39884763.903.980959341.194764.791.7107712.20369OpenBenchmarking.org

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUABC3691215SE +/- 0.12800, N = 12SE +/- 0.18359, N = 12SE +/- 0.22405, N = 128.462088.956699.51734MIN: 6.9MIN: 6.78MIN: 6.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUBAC1.22672.45343.68014.90686.1335SE +/- 0.02326, N = 3SE +/- 0.01720, N = 3SE +/- 0.05103, N = 35.406295.409665.45216MIN: 5.3MIN: 5.31MIN: 5.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUABC0.4880.9761.4641.9522.44SE +/- 0.02279, N = 15SE +/- 0.03381, N = 14SE +/- 0.03939, N = 131.953012.082772.16909MIN: 1.53MIN: 1.42MIN: 1.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUABC0.5171.0341.5512.0682.585SE +/- 0.01978, N = 3SE +/- 0.02070, N = 15SE +/- 0.02260, N = 142.110182.288422.29786MIN: 2.05MIN: 2.05MIN: 2.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUCBA510152025SE +/- 0.18, N = 7SE +/- 0.18, N = 7SE +/- 0.18, N = 719.8019.8419.84MIN: 18.39MIN: 18.36MIN: 18.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUABC246810SE +/- 0.04671, N = 15SE +/- 0.06459, N = 15SE +/- 0.08757, N = 126.116736.311366.35160MIN: 4.83MIN: 4.78MIN: 4.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUABC3691215SE +/- 0.13110, N = 15SE +/- 0.20633, N = 15SE +/- 0.26927, N = 159.413089.9973610.51531MIN: 7.82MIN: 7.8MIN: 7.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUACB510152025SE +/- 0.31, N = 12SE +/- 0.43, N = 12SE +/- 0.37, N = 1517.7018.2118.30MIN: 12.6MIN: 12.85MIN: 12.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUCBA3691215SE +/- 0.01380, N = 3SE +/- 0.05241, N = 3SE +/- 0.07037, N = 39.824879.9306010.17120MIN: 9.72MIN: 9.72MIN: 9.721. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUABC246810SE +/- 0.03577, N = 3SE +/- 0.09598, N = 12SE +/- 0.07577, N = 157.008967.616267.63750MIN: 6.9MIN: 6.9MIN: 6.91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUABC0.69211.38422.07632.76843.4605SE +/- 0.06611, N = 12SE +/- 0.06747, N = 12SE +/- 0.07382, N = 123.009063.037813.07591MIN: 1.98MIN: 1.99MIN: 1.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUCBA0.54231.08461.62692.16922.7115SE +/- 0.01606, N = 3SE +/- 0.01602, N = 3SE +/- 0.01651, N = 32.340112.357662.41032MIN: 2.26MIN: 2.26MIN: 2.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCBA2K4K6K8K10KSE +/- 11.27, N = 3SE +/- 13.80, N = 3SE +/- 15.58, N = 39341.059342.439343.97MIN: 9283.35MIN: 9281.9MIN: 9275.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCAB10002000300040005000SE +/- 5.52, N = 3SE +/- 10.55, N = 3SE +/- 7.12, N = 34759.634767.334768.46MIN: 4706.4MIN: 4703.91MIN: 4712.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUACB2K4K6K8K10KSE +/- 14.60, N = 3SE +/- 14.63, N = 3SE +/- 10.74, N = 39344.999346.829347.91MIN: 9276.29MIN: 9277.56MIN: 9286.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUCBA918273645SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 337.9637.9738.04MIN: 37.88MIN: 37.88MIN: 37.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUABC1428425670SE +/- 1.13, N = 12SE +/- 1.15, N = 12SE +/- 1.22, N = 1263.5663.9364.46MIN: 48.57MIN: 48.09MIN: 48.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUABC918273645SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 338.2738.3138.40MIN: 38.12MIN: 38.14MIN: 38.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUABC10002000300040005000SE +/- 9.66, N = 3SE +/- 4.91, N = 3SE +/- 8.66, N = 34762.614762.944763.90MIN: 4701.82MIN: 4712.41MIN: 4704.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUBAC0.89571.79142.68713.58284.4785SE +/- 0.08596, N = 12SE +/- 0.10299, N = 12SE +/- 0.08379, N = 123.975773.975983.98095MIN: 2.5MIN: 2.51MIN: 2.51. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUBCA2K4K6K8K10KSE +/- 13.01, N = 3SE +/- 16.10, N = 3SE +/- 7.36, N = 39340.039341.199342.56MIN: 9275.58MIN: 9269.09MIN: 9290.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUABC10002000300040005000SE +/- 4.70, N = 3SE +/- 5.86, N = 3SE +/- 9.20, N = 34760.204762.014764.79MIN: 4708.81MIN: 4707.88MIN: 4707.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUABC0.38490.76981.15471.53961.9245SE +/- 0.03407, N = 12SE +/- 0.03087, N = 12SE +/- 0.02902, N = 121.701741.708971.71077MIN: 1.2MIN: 1.19MIN: 1.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUBCA3691215SE +/- 0.35, N = 12SE +/- 0.35, N = 12SE +/- 0.38, N = 1212.2012.2012.27MIN: 7.72MIN: 7.72MIN: 7.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

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