5900X sysbench onednn

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (3202 BIOS) and Sapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB on Ubuntu 20.10 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 2103138-SYST-5900XSY95
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March 13 2021
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March 13 2021
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March 13 2021
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5900X sysbench onednnProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3202 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 PlusSapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1780/875MHz)AMD Navi 10 HDMI AudioASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.105.12.0-051200rc2-generic (x86_64) 20210306GNOME Shell 3.38.1X Server 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Security 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

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 1D - Data Type: f32 - Engine: CPU3210.84851.6972.54553.3944.2425SE +/- 0.02135, N = 3SE +/- 0.00424, N = 3SE +/- 0.00813, N = 33.770323.771073.75267MIN: 3.46MIN: 3.45MIN: 3.451. (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: f32 - Engine: CPU321246810SE +/- 0.01646, N = 3SE +/- 0.00401, N = 3SE +/- 0.01236, N = 37.533647.533918.62717MIN: 7.32MIN: 7.33MIN: 8.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU3210.24080.48160.72240.96321.204SE +/- 0.00399, N = 3SE +/- 0.00243, N = 3SE +/- 0.00321, N = 31.070251.069811.06966MIN: 0.99MIN: 1MIN: 11. (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: CPU3210.1940.3880.5820.7760.97SE +/- 0.003242, N = 3SE +/- 0.348175, N = 15SE +/- 0.002916, N = 30.5175200.8622160.524499MIN: 0.47MIN: 0.46MIN: 0.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU32148121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 315.7015.7216.19MIN: 15.31MIN: 15.38MIN: 15.681. (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: CPU3211.24622.49243.73864.98486.231SE +/- 0.19023, N = 15SE +/- 0.19863, N = 15SE +/- 0.21782, N = 125.286685.320475.53845MIN: 3.24MIN: 3.23MIN: 3.211. (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: CPU3210.96391.92782.89173.85564.8195SE +/- 0.00550, N = 3SE +/- 0.00980, N = 3SE +/- 0.00766, N = 34.284064.266244.27928MIN: 4.17MIN: 4.15MIN: 4.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU32148121620SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 316.4916.4717.35MIN: 15.81MIN: 15.93MIN: 16.941. (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: CPU3210.29620.59240.88861.18481.481SE +/- 0.00800, N = 3SE +/- 0.00533, N = 3SE +/- 0.00569, N = 31.314211.309401.31629MIN: 1.22MIN: 1.22MIN: 1.221. (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: CPU3210.45360.90721.36081.81442.268SE +/- 0.00223, N = 3SE +/- 0.00271, N = 3SE +/- 0.00253, N = 32.009252.013202.01613MIN: 1.78MIN: 1.91MIN: 1.941. (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: CPU3216001200180024003000SE +/- 12.12, N = 3SE +/- 10.81, N = 3SE +/- 14.19, N = 32905.722892.532890.59MIN: 2873.26MIN: 2864.07MIN: 2861.191. (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: CPU321400800120016002000SE +/- 9.45, N = 3SE +/- 6.12, N = 3SE +/- 3.61, N = 31679.321689.611672.05MIN: 1646.62MIN: 1668.94MIN: 1639.181. (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: CPU3216001200180024003000SE +/- 17.20, N = 3SE +/- 9.96, N = 3SE +/- 14.19, N = 32924.952901.372904.05MIN: 2881.73MIN: 2874.88MIN: 2876.451. (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: CPU321400800120016002000SE +/- 10.80, N = 3SE +/- 3.80, N = 3SE +/- 2.15, N = 31701.381698.311707.04MIN: 1662.08MIN: 1678.43MIN: 1692.221. (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: CPU3210.17110.34220.51330.68440.8555SE +/- 0.004859, N = 3SE +/- 0.001642, N = 3SE +/- 0.001551, N = 30.7603940.7588230.760181MIN: 0.72MIN: 0.72MIN: 0.711. (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: CPU3216001200180024003000SE +/- 9.27, N = 3SE +/- 15.32, N = 3SE +/- 4.58, N = 32875.282873.622897.91MIN: 2845.11MIN: 2840.96MIN: 2882.621. (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: CPU321400800120016002000SE +/- 4.28, N = 3SE +/- 1.80, N = 3SE +/- 20.36, N = 31693.141701.821697.37MIN: 1661.05MIN: 1684.14MIN: 1650.111. (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: CPU3210.39170.78341.17511.56681.9585SE +/- 0.00070, N = 3SE +/- 0.00092, N = 3SE +/- 0.00034, N = 31.740451.740731.74083MIN: 1.63MIN: 1.64MIN: 1.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory3213K6K9K12K15KSE +/- 16.45, N = 3SE +/- 13.11, N = 3SE +/- 13.75, N = 313917.9813926.3113950.101. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU32115K30K45K60K75KSE +/- 46.63, N = 3SE +/- 41.87, N = 3SE +/- 66.39, N = 368422.2368421.7768475.651. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm