5600x s

AMD Ryzen 5 5600X 6-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1216 BIOS) and XFX AMD Radeon R9 285/380 2GB on Ubuntu 21.04 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 2103295-IB-5600XS92352
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March 13 2021
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March 13 2021
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5600x sProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads)ASUS TUF GAMING B550M-PLUS (WI-FI) (1216 BIOS)AMD Starship/Matisse16GB1000GB Western Digital WD_BLACK SN850 1TBXFX AMD Radeon R9 285/380 2GB (918/1375MHz)AMD Tonga HDMI AudioLG Ultra HDRealtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200Ubuntu 21.045.10.0-14-generic (x86_64)GNOME Shell 3.38.3X Server 1.20.9 + Wayland4.6 Mesa 20.3.4 (LLVM 11.0.1)GCC 10.2.1 20210306ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseEnvironment Details- DEBUGINFOD_URLS=Compiler Details- --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-Gd1agl/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-Gd1agl/gcc-10-10.2.1/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-build-config=bootstrap-lto-lean --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: 0xa201009 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%103%105%108%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNSysbenchoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNSysbenchD.B.s - f32 - CPUM.M.B.S.T - f32 - CPUD.B.s - u8s8f32 - CPUIP Shapes 3D - f32 - CPUIP Shapes 3D - u8s8f32 - CPUIP Shapes 1D - f32 - CPURAM / MemoryC.B.S.A - f32 - CPUR.N.N.I - f32 - CPUC.B.S.A - u8s8f32 - CPUIP Shapes 1D - u8s8f32 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.T - f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUM.M.B.S.T - u8s8f32 - CPUD.B.s - f32 - CPUCPU

5600x ssysbench: CPUsysbench: RAM / Memoryonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU12335668.1522058.624.2133210.36211.798371.7642621.03316.548307.4347116.98502.347013.865613845.262202.603852.592199.432.508453853.332198.803.0922735670.7121958.504.1946310.30241.798671.7551220.99346.688687.4404416.99442.349523.889813847.972197.833849.162198.472.491563850.922197.213.0945835672.4222037.314.1932910.30471.795491.7563220.95917.233957.4383716.95932.349823.875513843.002200.553855.042202.122.478783847.382199.593.09158OpenBenchmarking.org

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.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU3218K16K24K32K40KSE +/- 1.94, N = 3SE +/- 0.52, N = 3SE +/- 1.25, N = 335672.4235670.7135668.151. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1325K10K15K20K25KSE +/- 3.35, N = 3SE +/- 22.76, N = 3SE +/- 49.01, N = 322058.6222037.3121958.501. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

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: CPU3210.9481.8962.8443.7924.74SE +/- 0.00469, N = 3SE +/- 0.00276, N = 3SE +/- 0.00872, N = 34.193294.194634.21332MIN: 3.89MIN: 3.9MIN: 3.861. (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: CPU2313691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.3010.3010.36MIN: 10.16MIN: 10.12MIN: 10.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU3120.40470.80941.21411.61882.0235SE +/- 0.00339, N = 3SE +/- 0.00273, N = 3SE +/- 0.00435, N = 31.795491.798371.79867MIN: 1.72MIN: 1.72MIN: 1.721. (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: CPU2310.3970.7941.1911.5881.985SE +/- 0.00162, N = 3SE +/- 0.00854, N = 3SE +/- 0.01303, N = 31.755121.756321.76426MIN: 1.59MIN: 1.6MIN: 1.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU321510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 320.9620.9921.03MIN: 19.52MIN: 19.53MIN: 19.521. (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: CPU123246810SE +/- 0.14848, N = 15SE +/- 0.12559, N = 15SE +/- 0.31077, N = 126.548306.688687.23395MIN: 5.31MIN: 5.3MIN: 5.331. (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: CPU132246810SE +/- 0.00220, N = 3SE +/- 0.00747, N = 3SE +/- 0.00275, N = 37.434717.438377.44044MIN: 7.22MIN: 7.24MIN: 7.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU31248121620SE +/- 0.19, N = 15SE +/- 0.04, N = 3SE +/- 0.21, N = 316.9616.9916.99MIN: 15.46MIN: 15.84MIN: 15.661. (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: CPU1230.52871.05741.58612.11482.6435SE +/- 0.00198, N = 3SE +/- 0.00265, N = 3SE +/- 0.00389, N = 32.347012.349522.34982MIN: 2.27MIN: 2.25MIN: 2.251. (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: CPU1320.87521.75042.62563.50084.376SE +/- 0.01510, N = 3SE +/- 0.01281, N = 3SE +/- 0.01672, N = 33.865613.875513.88981MIN: 3.61MIN: 3.66MIN: 3.641. (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: CPU3128001600240032004000SE +/- 3.44, N = 3SE +/- 0.83, N = 3SE +/- 1.69, N = 33843.003845.263847.97MIN: 3830.07MIN: 3834.69MIN: 3832.171. (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: CPU2315001000150020002500SE +/- 3.37, N = 3SE +/- 1.93, N = 3SE +/- 0.76, N = 32197.832200.552202.60MIN: 2188.28MIN: 2191.04MIN: 2195.911. (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: CPU2138001600240032004000SE +/- 1.46, N = 3SE +/- 3.32, N = 3SE +/- 2.25, N = 33849.163852.593855.04MIN: 3834.01MIN: 3836.73MIN: 3843.441. (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: CPU2135001000150020002500SE +/- 3.46, N = 3SE +/- 3.48, N = 3SE +/- 1.81, N = 32198.472199.432202.12MIN: 2188.64MIN: 2186.56MIN: 2188.911. (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: CPU3210.56441.12881.69322.25762.822SE +/- 0.00392, N = 3SE +/- 0.00013, N = 3SE +/- 0.00313, N = 32.478782.491562.50845MIN: 2.43MIN: 2.44MIN: 2.451. (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 Training - Data Type: bf16bf16bf16 - Engine: CPU3218001600240032004000SE +/- 1.40, N = 3SE +/- 1.80, N = 3SE +/- 1.28, N = 33847.383850.923853.33MIN: 3832.5MIN: 3841.15MIN: 3843.661. (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: CPU2135001000150020002500SE +/- 1.58, N = 3SE +/- 1.00, N = 3SE +/- 1.09, N = 32197.212198.802199.59MIN: 2188.31MIN: 2191.61MIN: 2192.651. (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: CPU3120.69631.39262.08892.78523.4815SE +/- 0.00201, N = 3SE +/- 0.00181, N = 3SE +/- 0.00482, N = 33.091583.092273.09458MIN: 2.98MIN: 2.97MIN: 2.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl