onednn 1185G7

Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.0.3 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.04 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 2107150-IB-ONEDNN11860
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July 15 2021
  59 Minutes
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July 15 2021
  1 Hour, 11 Minutes
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July 15 2021
  56 Minutes
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onednn 1185G7ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads)Dell 0DXP1F (3.0.3 BIOS)Intel Tiger Lake-LP16GBMicron 2300 NVMe 512GBIntel Xe TGL GT2 3GB (1350MHz)Realtek ALC289Intel Wi-Fi 6 AX201Ubuntu 21.045.13.0-051300-generic (x86_64)GNOME Shell 3.38.4X Server + Wayland4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa)1.2.182GCC 10.3.0ext41920x1200OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/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-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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x88Security 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

123Result OverviewPhoronix Test Suite100%159%218%277%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNIP Shapes 3D - bf16bf16bf16 - CPUIP Shapes 3D - f32 - CPUIP Shapes 3D - u8s8f32 - CPUM.M.B.S.T - u8s8f32 - CPUR.N.N.I - f32 - CPUIP Shapes 1D - u8s8f32 - CPUM.M.B.S.T - f32 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUM.M.B.S.T - bf16bf16bf16 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUD.B.s - f32 - CPUIP Shapes 1D - bf16bf16bf16 - CPUC.B.S.A - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUD.B.s - f32 - CPUC.B.S.A - f32 - CPUD.B.s - u8s8f32 - CPUC.B.S.A - u8s8f32 - CPUIP Shapes 1D - f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.T - f32 - CPU

onednn 1185G7onednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 1D - f32 - CPU1236.458822.784812.798094560.812.413094.793334560.694561.5411.86018879.398872.4556.614041.130811.3573313.11852.993319.654432.701438885.9551.263914.20977.7308325.379511.513756.487672.785973.007374915.802.415905.122744855.104850.5712.55089309.749294.0058.518941.541111.2503413.13972.983379.640372.698848875.6552.107113.91117.8200625.388711.523197.240783.115932.766334562.592.594014.802314564.074566.9911.89808885.728881.7756.704340.895011.2637913.07452.996659.615142.695378884.9251.228813.884925.9862625.855911.54177OpenBenchmarking.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 initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123246810SE +/- 0.05308, N = 9SE +/- 0.05056, N = 10SE +/- 0.06555, N = 76.458826.487677.24078MIN: 5.93MIN: 5.92MIN: 5.911. (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: CPU1230.70111.40222.10332.80443.5055SE +/- 0.03750, N = 12SE +/- 0.04040, N = 12SE +/- 0.04428, N = 122.784812.785973.11593MIN: 2.29MIN: 2.29MIN: 2.281. (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: CPU1230.67671.35342.03012.70683.3835SE +/- 0.00528, N = 3SE +/- 0.01235, N = 3SE +/- 0.00568, N = 32.798093.007372.76633MIN: 2.19MIN: 2.18MIN: 2.161. (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: CPU12311002200330044005500SE +/- 4.43, N = 3SE +/- 74.40, N = 12SE +/- 3.31, N = 34560.814915.804562.59MIN: 4515.14MIN: 4463.56MIN: 4508.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.58371.16741.75112.33482.9185SE +/- 0.03627, N = 12SE +/- 0.03595, N = 12SE +/- 0.03672, N = 122.413092.415902.59401MIN: 1.47MIN: 1.48MIN: 1.471. (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: CPU1231.15262.30523.45784.61045.763SE +/- 0.02021, N = 3SE +/- 0.01628, N = 3SE +/- 0.00999, N = 34.793335.122744.80231MIN: 3.84MIN: 3.78MIN: 3.781. (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: CPU12310002000300040005000SE +/- 3.94, N = 3SE +/- 6.33, N = 3SE +/- 6.26, N = 34560.694855.104564.07MIN: 4506.97MIN: 4784.73MIN: 4510.061. (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: CPU12310002000300040005000SE +/- 6.20, N = 3SE +/- 8.59, N = 3SE +/- 2.24, N = 34561.544850.574566.99MIN: 4510.17MIN: 4759.8MIN: 4513.21. (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: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 311.8612.5511.90MIN: 11MIN: 11.05MIN: 10.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1232K4K6K8K10KSE +/- 1.63, N = 3SE +/- 1.39, N = 3SE +/- 7.49, N = 38879.399309.748885.72MIN: 8840.26MIN: 9241.24MIN: 8841.261. (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: CPU1232K4K6K8K10KSE +/- 4.93, N = 3SE +/- 14.08, N = 3SE +/- 3.90, N = 38872.459294.008881.77MIN: 8836.53MIN: 9208.24MIN: 8834.321. (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: CPU1231326395265SE +/- 0.59, N = 3SE +/- 0.47, N = 3SE +/- 0.66, N = 356.6158.5256.70MIN: 49.22MIN: 49.59MIN: 49.21. (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: CPU123918273645SE +/- 0.53, N = 15SE +/- 0.54, N = 15SE +/- 0.52, N = 1541.1341.5440.90MIN: 35.33MIN: 35.44MIN: 35.351. (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: f32 - Engine: CPU1233691215SE +/- 0.16, N = 15SE +/- 0.15, N = 15SE +/- 0.15, N = 1511.3611.2511.26MIN: 9.31MIN: 9.38MIN: 9.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1233691215SE +/- 0.16, N = 12SE +/- 0.15, N = 12SE +/- 0.18, N = 1213.1213.1413.07MIN: 8.17MIN: 8.19MIN: 8.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1230.67421.34842.02262.69683.371SE +/- 0.03341, N = 4SE +/- 0.04108, N = 3SE +/- 0.03271, N = 42.993312.983372.99665MIN: 2.53MIN: 2.53MIN: 2.531. (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: CPU1233691215SE +/- 0.09318, N = 13SE +/- 0.09806, N = 12SE +/- 0.09506, N = 129.654439.640379.61514MIN: 7.96MIN: 7.98MIN: 7.961. (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: CPU1230.60781.21561.82342.43123.039SE +/- 0.04242, N = 13SE +/- 0.03612, N = 15SE +/- 0.03678, N = 152.701432.698842.69537MIN: 2.16MIN: 2.16MIN: 2.161. (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: CPU1232K4K6K8K10KSE +/- 7.23, N = 3SE +/- 4.17, N = 3SE +/- 4.95, N = 38885.958875.658884.92MIN: 8838.59MIN: 8829.39MIN: 8839.331. (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: CPU1231224364860SE +/- 0.93, N = 12SE +/- 0.98, N = 12SE +/- 0.99, N = 1251.2652.1151.23MIN: 35.24MIN: 35.32MIN: 35.241. (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: CPU12348121620SE +/- 0.31, N = 12SE +/- 0.13, N = 7SE +/- 0.16, N = 414.2113.9113.88MIN: 12MIN: 11.89MIN: 12.061. (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: CPU123612182430SE +/- 0.05002, N = 14SE +/- 0.05152, N = 15SE +/- 17.73871, N = 127.730837.8200625.98626MIN: 5.15MIN: 5.2MIN: 5.051. (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: bf16bf16bf16 - Engine: CPU123612182430SE +/- 0.45, N = 12SE +/- 0.47, N = 12SE +/- 0.47, N = 1225.3825.3925.86MIN: 17.98MIN: 17.92MIN: 18.091. (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: f32 - Engine: CPU1233691215SE +/- 0.42, N = 12SE +/- 0.43, N = 12SE +/- 0.42, N = 1211.5111.5211.54MIN: 6.1MIN: 6.05MIN: 6.121. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl