Intel Core i5-1135G7 testing with a Dell 08642J (3.3.0 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
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phoronix-test-suite benchmark 2203305-NE-ONEDNNTGL55 onednn tgl - Phoronix Test Suite onednn tgl Intel Core i5-1135G7 testing with a Dell 08642J (3.3.0 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/2203305-NE-ONEDNNTGL55&sor&grs .
onednn tgl Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A V C Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads) Dell 08642J (3.3.0 BIOS) Intel Device a0ef 8GB PC SN530 NVMe WDC 256GB Intel Xe TGL GT2 3GB (1300MHz) Realtek ALC289 Intel Device a0f0 Ubuntu 20.04 5.14.0-1029-oem (x86_64) GNOME Shell 3.36.9 X Server 1.20.9 4.6 Mesa 21.2.6 1.2.182 GCC 9.4.0 ext4 3456x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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-Av3uEd/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_power) - CPU Microcode: 0x88 - Thermald 1.9.1 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 tgl onednn: Recurrent Neural Network Training - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU A V C 7561.25 6.61640 4465.24 6.44962 1.50550 2.70766 4543.09 13.5318 2.10994 10.3470 52.9428 3.14203 8.51257 10.8998 2.63798 60.1397 8798.47 3.15249 10.2134 25.6483 52.5447 3840.02 8685.42 16.5694 8754.58 6.72230 4565.49 6.52050 1.52166 2.71662 4563.71 13.5573 2.11645 10.3449 52.9356 3.15049 8.49301 10.8912 2.63758 60.1925 8805.12 3.15675 10.2234 25.6377 52.5377 4396.18 8986.95 17.1800 7565.21 6.54558 4553.79 6.51208 1.50861 2.69766 4558.69 13.5892 2.10776 10.3111 52.7790 3.14523 8.50841 10.8797 2.64240 60.2420 8811.18 3.15390 10.2147 25.6419 52.5455 4467.07 9364.40 17.1237 OpenBenchmarking.org
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU A C V 2K 4K 6K 8K 10K SE +/- 6.49, N = 3 SE +/- 6.65, N = 3 SE +/- 135.26, N = 15 7561.25 7565.21 8754.58 MIN: 7509.86 MIN: 7517.11 MIN: 7528.22 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU C A V 2 4 6 8 10 SE +/- 0.07707, N = 4 SE +/- 0.07031, N = 3 SE +/- 0.04745, N = 15 6.54558 6.61640 6.72230 MIN: 6.22 MIN: 6.22 MIN: 6.21 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU A C V 1000 2000 3000 4000 5000 SE +/- 65.02, N = 15 SE +/- 6.34, N = 3 SE +/- 2.96, N = 3 4465.24 4553.79 4565.49 MIN: 3809.91 MIN: 4499.14 MIN: 4519.64 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU A C V 2 4 6 8 10 SE +/- 0.01617, N = 3 SE +/- 0.02219, N = 3 SE +/- 0.04034, N = 3 6.44962 6.51208 6.52050 MIN: 5.95 MIN: 5.91 MIN: 5.93 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU A C V 0.3424 0.6848 1.0272 1.3696 1.712 SE +/- 0.00306, N = 3 SE +/- 0.00199, N = 3 SE +/- 0.01522, N = 6 1.50550 1.50861 1.52166 MIN: 1.45 MIN: 1.45 MIN: 1.45 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU C A V 0.6112 1.2224 1.8336 2.4448 3.056 SE +/- 0.00412, N = 3 SE +/- 0.01070, N = 3 SE +/- 0.00630, N = 3 2.69766 2.70766 2.71662 MIN: 2.61 MIN: 2.64 MIN: 2.61 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU A C V 1000 2000 3000 4000 5000 SE +/- 7.37, N = 3 SE +/- 5.97, N = 3 SE +/- 1.30, N = 3 4543.09 4558.69 4563.71 MIN: 4472.94 MIN: 4497.76 MIN: 4521.55 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU A V C 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 13.53 13.56 13.59 MIN: 13.4 MIN: 13.37 MIN: 13.42 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU C A V 0.4762 0.9524 1.4286 1.9048 2.381 SE +/- 0.00482, N = 3 SE +/- 0.00492, N = 3 SE +/- 0.00628, N = 3 2.10776 2.10994 2.11645 MIN: 1.86 MIN: 1.89 MIN: 1.84 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU C V A 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 10.31 10.34 10.35 MIN: 10.25 MIN: 10.24 MIN: 10.25 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU C V A 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 52.78 52.94 52.94 MIN: 52.55 MIN: 52.59 MIN: 52.65 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU A C V 0.7089 1.4178 2.1267 2.8356 3.5445 SE +/- 0.00616, N = 3 SE +/- 0.00779, N = 3 SE +/- 0.00828, N = 3 3.14203 3.14523 3.15049 MIN: 3.11 MIN: 3.12 MIN: 3.12 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU V C A 2 4 6 8 10 SE +/- 0.00155, N = 3 SE +/- 0.00998, N = 3 SE +/- 0.01210, N = 3 8.49301 8.50841 8.51257 MIN: 8.4 MIN: 8.39 MIN: 8.4 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU C V A 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 10.88 10.89 10.90 MIN: 10.66 MIN: 10.67 MIN: 10.65 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU V A C 0.5945 1.189 1.7835 2.378 2.9725 SE +/- 0.00141, N = 3 SE +/- 0.00335, N = 3 SE +/- 0.00064, N = 3 2.63758 2.63798 2.64240 MIN: 2.6 MIN: 2.6 MIN: 2.61 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU A V C 13 26 39 52 65 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 60.14 60.19 60.24 MIN: 59.39 MIN: 59.35 MIN: 59.37 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU A V C 2K 4K 6K 8K 10K SE +/- 129.93, N = 15 SE +/- 129.34, N = 15 SE +/- 126.15, N = 15 8798.47 8805.12 8811.18 MIN: 7521.74 MIN: 7514.46 MIN: 7525.68 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU A C V 0.7103 1.4206 2.1309 2.8412 3.5515 SE +/- 0.00130, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.00453, N = 3 3.15249 3.15390 3.15675 MIN: 3.07 MIN: 3.07 MIN: 3.07 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU A C V 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 10.21 10.21 10.22 MIN: 9.58 MIN: 8.88 MIN: 9.17 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU V C A 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 25.64 25.64 25.65 MIN: 25.14 MIN: 25.14 MIN: 25.15 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU V A C 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 52.54 52.54 52.55 MIN: 52.3 MIN: 52.31 MIN: 52.3 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU A V C 1000 2000 3000 4000 5000 SE +/- 2.59, N = 3 SE +/- 87.30, N = 12 SE +/- 65.79, N = 15 3840.02 4396.18 4467.07 MIN: 3795.34 MIN: 3804.91 MIN: 3801.94 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU A V C 2K 4K 6K 8K 10K SE +/- 167.45, N = 12 SE +/- 11.00, N = 3 SE +/- 338.92, N = 15 8685.42 8986.95 9364.40 MIN: 7519.48 MIN: 8916.06 MIN: 7528.44 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU A C V 4 8 12 16 20 SE +/- 0.23, N = 3 SE +/- 0.31, N = 15 SE +/- 0.18, N = 5 16.57 17.12 17.18 MIN: 15.22 MIN: 15.19 MIN: 15.23 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
Phoronix Test Suite v10.8.4