Ryzen 5 MKL DNNL AMD Ryzen 5 3600X 6-Core testing with a MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.B2 BIOS) and MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB on Ubuntu 18.04 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 1910068-PTS-RYZEN5MK91 AMD Ryzen 5 3600X 6-Core Processor: AMD Ryzen 5 3600X 6-Core (6 Cores / 12 Threads), Motherboard: MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.B2 BIOS), Chipset: AMD Starship/Matisse, Memory: 16384MB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB, Audio: AMD Cape Verde/Pitcairn, Monitor: G237HL, Network: Qualcomm Atheros Killer E2500 + Intel 8265 / 8275
OS: Ubuntu 18.04, Kernel: 5.0.0-29-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.8 (LLVM 8.0.0), Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 1920x1080
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 -vSecurity Notes: 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 Full AMD retpoline IBPB: conditional STIBP: always-on RSB filling
Ryzen 5 MKL DNNL OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 5 3600X 6-Core (6 Cores / 12 Threads) MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.B2 BIOS) AMD Starship/Matisse 16384MB 256GB INTEL SSDPEKKW256G7 MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB AMD Cape Verde/Pitcairn G237HL Qualcomm Atheros Killer E2500 + Intel 8265 / 8275 Ubuntu 18.04 5.0.0-29-generic (x86_64) GNOME Shell 3.28.4 X Server 1.20.4 modesetting 1.20.4 4.5 Mesa 19.0.8 (LLVM 8.0.0) GCC 7.4.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Ryzen 5 MKL DNNL 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 - 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 Full AMD retpoline IBPB: conditional STIBP: always-on RSB filling
Ryzen 5 MKL DNNL libgav1: Chimera 1080p libgav1: Summer Nature 4K libgav1: Summer Nature 1080p libgav1: Chimera 1080p 10-bit mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Convolution Batch conv_3d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 AMD Ryzen 5 3600X 6-Core 51.69 22.76 86.33 19.29 6.68 30.28 74.28 330.93 27.64 3666.93 16550.87 7.76 8.39 466.98 66429.33 4056.14 6808.13 11942.27 337.09 8205.12 204.95 3562.16 OpenBenchmarking.org
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 AMD Ryzen 5 3600X 6-Core 2 4 6 8 10 SE +/- 0.02, N = 3 6.68 MIN: 6.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 AMD Ryzen 5 3600X 6-Core 7 14 21 28 35 SE +/- 0.03, N = 3 30.28 MIN: 29.92 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 16 32 48 64 80 SE +/- 0.06, N = 3 74.28 MIN: 72.74 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 70 140 210 280 350 SE +/- 0.14, N = 3 330.93 MIN: 328.75 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 AMD Ryzen 5 3600X 6-Core 7 14 21 28 35 SE +/- 0.06, N = 3 27.64 MIN: 27.1 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 AMD Ryzen 5 3600X 6-Core 800 1600 2400 3200 4000 SE +/- 8.11, N = 3 3666.93 MIN: 3630.32 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 4K 8K 12K 16K 20K SE +/- 18.31, N = 3 16550.87 MIN: 16508.6 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 AMD Ryzen 5 3600X 6-Core 2 4 6 8 10 SE +/- 0.01, N = 3 7.76 MIN: 7.51 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 AMD Ryzen 5 3600X 6-Core 2 4 6 8 10 SE +/- 0.01, N = 3 8.39 MIN: 8.12 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 AMD Ryzen 5 3600X 6-Core 100 200 300 400 500 SE +/- 0.75, N = 3 466.98 MIN: 464.51 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 14K 28K 42K 56K 70K SE +/- 170.00, N = 3 66429.33 MIN: 65006.3 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 AMD Ryzen 5 3600X 6-Core 900 1800 2700 3600 4500 SE +/- 3.33, N = 3 4056.14 MIN: 3973.18 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 1500 3000 4500 6000 7500 SE +/- 0.35, N = 3 6808.13 MIN: 6802.68 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 3K 6K 9K 12K 15K SE +/- 3.14, N = 3 11942.27 MIN: 11911.7 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 AMD Ryzen 5 3600X 6-Core 70 140 210 280 350 SE +/- 0.27, N = 3 337.09 MIN: 334.54 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 2K 4K 6K 8K 10K SE +/- 69.37, N = 3 8205.12 MIN: 7943.43 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 AMD Ryzen 5 3600X 6-Core 40 80 120 160 200 SE +/- 0.54, N = 3 204.95 MIN: 202 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 AMD Ryzen 5 3600X 6-Core 800 1600 2400 3200 4000 SE +/- 2.72, N = 3 3562.16 MIN: 3486.38 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
AMD Ryzen 5 3600X 6-Core Processor: AMD Ryzen 5 3600X 6-Core (6 Cores / 12 Threads), Motherboard: MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.B2 BIOS), Chipset: AMD Starship/Matisse, Memory: 16384MB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB, Audio: AMD Cape Verde/Pitcairn, Monitor: G237HL, Network: Qualcomm Atheros Killer E2500 + Intel 8265 / 8275
OS: Ubuntu 18.04, Kernel: 5.0.0-29-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.8 (LLVM 8.0.0), Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 1920x1080
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 -vSecurity Notes: 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 Full AMD retpoline IBPB: conditional STIBP: always-on RSB filling
Testing initiated at 6 October 2019 07:41 by user pts.