MKL DNN Core i7 Intel Core i7-8086K testing with a ASUS PRIME Z370-A (1802 BIOS) and Intel UHD 630 3GB on Ubuntu 18.10 via the Phoronix Test Suite.
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phoronix-test-suite benchmark 1904172-PTS-MKLDNNCO68 Intel Core i7-8086K Processor: Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z370-A (1802 BIOS), Chipset: Intel 8th Gen Core, Memory: 8192MB, Disk: 118GB INTEL SSDPEK1W120GA, Graphics: Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V
OS: Ubuntu 18.10, Kernel: 4.18.0-16-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 18.2.2, Vulkan: 1.1.80, Compiler: GCC 8.2.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersaveSecurity Notes: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp + PTE Inversion
MKL DNN Core i7 OpenBenchmarking.org Phoronix Test Suite Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads) ASUS PRIME Z370-A (1802 BIOS) Intel 8th Gen Core 8192MB 118GB INTEL SSDPEK1W120GA Intel UHD 630 3GB (1200MHz) Realtek ALC1220 DELL P2415Q Intel I219-V Ubuntu 18.10 4.18.0-16-generic (x86_64) GNOME Shell 3.30.2 X Server 1.20.1 modesetting 1.20.1 4.5 Mesa 18.2.2 1.1.80 GCC 8.2.0 ext4 3840x2160 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution MKL DNN Core I7 Benchmarks System Logs - --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp + PTE Inversion
MKL DNN Core i7 mkl-dnn: IP Batch All - f32 mkl-dnn: Convolution Batch conv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32 mkl-dnn: IP Batch All - u8s8f32s32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: IP Batch All - u8s8u8s32 mkl-dnn: IP Batch 1D - u8s8f32s32 mkl-dnn: IP Batch 1D - u8s8u8s32 mkl-dnn: Convolution Batch conv_all - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_all - u8s8f32s32 mkl-dnn: Convolution Batch conv_3d - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32 mkl-dnn: IP Batch 1D - f32 Intel Core i7-8086K 116.49 3420.50 445.84 191.92 447.38 8.58 3419.82 6.84 109.95 25.33 116 8.83 8.68 3416.98 6.84 192.17 8.62 8.86 448.42 6.85 3744.12 3769 25.82 3665.71 25.46 192.01 8.71 OpenBenchmarking.org
MKL-DNN OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: f32 Intel Core i7-8086K 30 60 90 120 150 SE +/- 0.12, N = 3 116.49 MIN: 115.21 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 Intel Core i7-8086K 700 1400 2100 2800 3500 SE +/- 2.10, N = 3 3420.50 MIN: 3407.19 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 Intel Core i7-8086K 100 200 300 400 500 SE +/- 0.51, N = 3 445.84 MIN: 443.77 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 Intel Core i7-8086K 40 80 120 160 200 SE +/- 0.19, N = 3 191.92 MIN: 190.32 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 Intel Core i7-8086K 100 200 300 400 500 SE +/- 0.98, N = 3 447.38 MIN: 444.57 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.08, N = 3 8.58 MIN: 8.38 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: f32 Intel Core i7-8086K 700 1400 2100 2800 3500 SE +/- 1.22, N = 3 3419.82 MIN: 3407.79 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.01, N = 3 6.84 MIN: 6.75 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8f32s32 Intel Core i7-8086K 20 40 60 80 100 SE +/- 2.92, N = 15 109.95 MIN: 87.51 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: f32 Intel Core i7-8086K 6 12 18 24 30 SE +/- 0.07, N = 3 25.33 MIN: 25.02 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8u8s32 Intel Core i7-8086K 30 60 90 120 150 SE +/- 0.09, N = 3 116 MIN: 115.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8f32s32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.16, N = 3 8.83 MIN: 8.3 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8u8s32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.17, N = 3 8.68 MIN: 8.33 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 Intel Core i7-8086K 700 1400 2100 2800 3500 SE +/- 1.68, N = 3 3416.98 MIN: 3403.84 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.02, N = 3 6.84 MIN: 6.76 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 Intel Core i7-8086K 40 80 120 160 200 SE +/- 0.23, N = 3 192.17 MIN: 190.56 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.11, N = 7 8.62 MIN: 8.38 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.11, N = 3 8.86 MIN: 8.68 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: f32 Intel Core i7-8086K 100 200 300 400 500 SE +/- 2.26, N = 3 448.42 MIN: 444.72 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.02, N = 3 6.85 MIN: 6.77 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: f32 Intel Core i7-8086K 800 1600 2400 3200 4000 SE +/- 44.10, N = 8 3744.12 MIN: 3411.42 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 Intel Core i7-8086K 800 1600 2400 3200 4000 SE +/- 0.62, N = 3 3769 MIN: 3742.01 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 Intel Core i7-8086K 6 12 18 24 30 SE +/- 0.38, N = 3 25.82 MIN: 25.22 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: u8s8f32s32 Intel Core i7-8086K 800 1600 2400 3200 4000 SE +/- 56.80, N = 9 3665.71 MIN: 3408.74 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 Intel Core i7-8086K 6 12 18 24 30 SE +/- 0.03, N = 3 25.46 MIN: 25.2 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 Intel Core i7-8086K 40 80 120 160 200 SE +/- 0.07, N = 3 192.01 MIN: 190.68 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: f32 Intel Core i7-8086K 2 4 6 8 10 SE +/- 0.16, N = 3 8.71 MIN: 8.35 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
Intel Core i7-8086K Processor: Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z370-A (1802 BIOS), Chipset: Intel 8th Gen Core, Memory: 8192MB, Disk: 118GB INTEL SSDPEK1W120GA, Graphics: Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V
OS: Ubuntu 18.10, Kernel: 4.18.0-16-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 18.2.2, Vulkan: 1.1.80, Compiler: GCC 8.2.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersaveSecurity Notes: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp + PTE Inversion
Testing initiated at 17 April 2019 09:24 by user pts.