Ryzen 5 5600X

AMD Ryzen 5 5600X 6-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1216 BIOS) and NVIDIA NV166 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 2012091-HA-RYZEN556051
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December 09 2020
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December 09 2020
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December 09 2020
  33 Minutes
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Ryzen 5 5600XProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-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 Samsung SSD 980 PRO 1TBNVIDIA NV166 6GBNVIDIA TU106 HD AudioG237HLRealtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200Ubuntu 20.105.9.10-050910-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.3 Mesa 20.2.1GCC 10.2.0ext41920x1080OpenBenchmarking.orgCompiler 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: 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%101%101%102%102%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNC.B.S.A - u8s8f32 - CPUM.M.B.S.T - f32 - CPUIP Shapes 1D - u8s8f32 - CPUD.B.s - f32 - CPUIP Shapes 3D - f32 - CPUC.B.S.A - f32 - CPUIP Shapes 3D - u8s8f32 - CPUIP Shapes 1D - f32 - CPUD.B.s - u8s8f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.T - f32 - CPUR.N.N.I - f32 - CPUR.N.N.T - u8s8f32 - CPUM.M.B.S.T - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUD.B.s - f32 - CPU

Ryzen 5 5600Xonednn: 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 - CPU1234.4165010.37541.907901.7030920.95355.606927.6202815.95555.219353.403523922.552231.843932.252236.452.542053934.052241.503.472004.4287110.31361.916131.7101521.08055.652117.6253216.28395.241753.414443933.032235.833935.582239.182.531073931.972233.393.468024.4060910.30631.898701.7127121.03485.655397.6275316.16715.238353.419293924.442232.213930.912231.202.515023936.222237.513.46915OpenBenchmarking.org

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU3210.99651.9932.98953.9864.9825SE +/- 0.00992, N = 3SE +/- 0.00512, N = 3SE +/- 0.01727, N = 34.406094.428714.41650MIN: 3.97MIN: 4.09MIN: 41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU3213691215SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 310.3110.3110.38MIN: 10.09MIN: 10.1MIN: 10.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU3210.43110.86221.29331.72442.1555SE +/- 0.00568, N = 3SE +/- 0.00969, N = 3SE +/- 0.00615, N = 31.898701.916131.90790MIN: 1.77MIN: 1.79MIN: 1.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU3210.38540.77081.15621.54161.927SE +/- 0.00859, N = 3SE +/- 0.02447, N = 3SE +/- 0.00829, N = 31.712711.710151.70309MIN: 1.64MIN: 1.57MIN: 1.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU321510152025SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 321.0321.0820.95MIN: 19.29MIN: 19.47MIN: 19.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU3211.27252.5453.81755.096.3625SE +/- 0.00895, N = 3SE +/- 0.03636, N = 3SE +/- 0.01589, N = 35.655395.652115.60692MIN: 5.41MIN: 5.39MIN: 5.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU321246810SE +/- 0.01570, N = 3SE +/- 0.02048, N = 3SE +/- 0.02300, N = 37.627537.625327.62028MIN: 7.3MIN: 7.33MIN: 7.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU32148121620SE +/- 0.24, N = 15SE +/- 0.09, N = 3SE +/- 0.17, N = 316.1716.2815.96MIN: 15.09MIN: 15.5MIN: 15.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU3211.17942.35883.53824.71765.897SE +/- 0.00626, N = 3SE +/- 0.01439, N = 3SE +/- 0.01757, N = 35.238355.241755.21935MIN: 4.98MIN: 4.96MIN: 4.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU3210.76931.53862.30793.07723.8465SE +/- 0.01474, N = 3SE +/- 0.01180, N = 3SE +/- 0.00990, N = 33.419293.414443.40352MIN: 3.23MIN: 3.19MIN: 3.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU3218001600240032004000SE +/- 5.60, N = 3SE +/- 2.23, N = 3SE +/- 2.28, N = 33924.443933.033922.55MIN: 3908.49MIN: 3923.42MIN: 3910.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU3215001000150020002500SE +/- 2.05, N = 3SE +/- 4.41, N = 3SE +/- 2.14, N = 32232.212235.832231.84MIN: 2222.49MIN: 2222.52MIN: 2221.911. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU3218001600240032004000SE +/- 2.37, N = 3SE +/- 0.57, N = 3SE +/- 1.26, N = 33930.913935.583932.25MIN: 3915.64MIN: 3929.47MIN: 3923.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU3215001000150020002500SE +/- 2.83, N = 3SE +/- 4.33, N = 3SE +/- 5.43, N = 32231.202239.182236.45MIN: 2221.77MIN: 2226.62MIN: 2221.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU3210.5721.1441.7162.2882.86SE +/- 0.00472, N = 3SE +/- 0.00699, N = 3SE +/- 0.01010, N = 32.515022.531072.54205MIN: 2.4MIN: 2.42MIN: 2.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU3218001600240032004000SE +/- 1.56, N = 3SE +/- 1.41, N = 3SE +/- 0.95, N = 33936.223931.973934.05MIN: 3927.76MIN: 3922.96MIN: 3925.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU3215001000150020002500SE +/- 4.43, N = 3SE +/- 2.09, N = 3SE +/- 3.89, N = 32237.512233.392241.50MIN: 2225.32MIN: 2223.36MIN: 2228.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU3210.78121.56242.34363.12483.906SE +/- 0.00870, N = 3SE +/- 0.01356, N = 3SE +/- 0.00857, N = 33.469153.468023.47200MIN: 3.31MIN: 3.32MIN: 3.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread