MKL-DNN AMD EPYC 7601 2P

2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 19.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/1904178-HV-MKLDNNAMD63.

MKL-DNN AMD EPYC 7601 2PProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelCompilerFile-SystemScreen Resolution2 x AMD EPYC 7601 32-Core2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads)Dell 02MJ3T (1.2.5 BIOS)AMD Family 17h516096MB120GB SSDSCKJB120G7R + 20 x 500GB Samsung SSD 860Matrox G200eW3VE2282 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIeUbuntu 19.045.0.7-050007-generic (x86_64)GCC 8.3.0ext41600x1200OpenBenchmarking.org- --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++ --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 - __user pointer sanitization + Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + SSB disabled via prctl and seccomp

MKL-DNN AMD EPYC 7601 2Pmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8u8s32mkl-dnn: IP Batch 1D - u8s8f32s32mkl-dnn: IP Batch All - u8s8u8s32mkl-dnn: IP Batch All - u8s8f32s32mkl-dnn: Convolution Batch conv_3d - f32compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 92 x AMD EPYC 7601 32-Core228.56839.94208.49213.62561.80101.578.1925.92OpenBenchmarking.org

MKL-DNN

Harness: IP Batch 1D - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f322 x AMD EPYC 7601 32-Core50100150200250SE +/- 3.87, N = 3228.56MIN: 111.941. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch All - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f322 x AMD EPYC 7601 32-Core2004006008001000SE +/- 7.89, N = 3839.94MIN: 507.881. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch 1D - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s322 x AMD EPYC 7601 32-Core50100150200250SE +/- 3.57, N = 3208.49MIN: 87.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch 1D - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8f32s322 x AMD EPYC 7601 32-Core50100150200250SE +/- 1.68, N = 3213.62MIN: 93.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch All - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s322 x AMD EPYC 7601 32-Core120240360480600SE +/- 90.92, N = 12561.80MIN: 81.231. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch All - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8f32s322 x AMD EPYC 7601 32-Core20406080100SE +/- 2.94, N = 12101.57MIN: 77.81. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_3d - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f322 x AMD EPYC 7601 32-Core246810SE +/- 0.21, N = 128.19MIN: 6.061. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 92 x AMD EPYC 7601 32-Core612182430SE +/- 0.40, N = 1525.921. (CC) gcc options: -pthread -fvisibility=hidden -O2

Phoronix Test Suite v10.8.4