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.

HTML result view exported from: https://openbenchmarking.org/result/2012091-HA-RYZEN556051&grw&sor.

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

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

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU3120.99651.9932.98953.9864.9825SE +/- 0.00992, N = 3SE +/- 0.01727, N = 3SE +/- 0.00512, N = 34.406094.416504.42871MIN: 3.97MIN: 4MIN: 4.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU3120.43110.86221.29331.72442.1555SE +/- 0.00568, N = 3SE +/- 0.00615, N = 3SE +/- 0.00969, N = 31.898701.907901.91613MIN: 1.77MIN: 1.77MIN: 1.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.38540.77081.15621.54161.927SE +/- 0.00829, N = 3SE +/- 0.02447, N = 3SE +/- 0.00859, N = 31.703091.710151.71271MIN: 1.56MIN: 1.57MIN: 1.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU132510152025SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 320.9521.0321.08MIN: 19.47MIN: 19.29MIN: 19.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1231.27252.5453.81755.096.3625SE +/- 0.01589, N = 3SE +/- 0.03636, N = 3SE +/- 0.00895, N = 35.606925.652115.65539MIN: 5.38MIN: 5.39MIN: 5.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123246810SE +/- 0.02300, N = 3SE +/- 0.02048, N = 3SE +/- 0.01570, N = 37.620287.625327.62753MIN: 7.36MIN: 7.33MIN: 7.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU13248121620SE +/- 0.17, N = 3SE +/- 0.24, N = 15SE +/- 0.09, N = 315.9616.1716.28MIN: 15.28MIN: 15.09MIN: 15.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1321.17942.35883.53824.71765.897SE +/- 0.01757, N = 3SE +/- 0.00626, N = 3SE +/- 0.01439, N = 35.219355.238355.24175MIN: 4.97MIN: 4.98MIN: 4.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1230.76931.53862.30793.07723.8465SE +/- 0.00990, N = 3SE +/- 0.01180, N = 3SE +/- 0.01474, N = 33.403523.414443.41929MIN: 3.18MIN: 3.19MIN: 3.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1328001600240032004000SE +/- 2.28, N = 3SE +/- 5.60, N = 3SE +/- 2.23, N = 33922.553924.443933.03MIN: 3910.11MIN: 3908.49MIN: 3923.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1325001000150020002500SE +/- 2.14, N = 3SE +/- 2.05, N = 3SE +/- 4.41, N = 32231.842232.212235.83MIN: 2221.91MIN: 2222.49MIN: 2222.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU3128001600240032004000SE +/- 2.37, N = 3SE +/- 1.26, N = 3SE +/- 0.57, N = 33930.913932.253935.58MIN: 3915.64MIN: 3923.02MIN: 3929.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU3125001000150020002500SE +/- 2.83, N = 3SE +/- 5.43, N = 3SE +/- 4.33, N = 32231.202236.452239.18MIN: 2221.77MIN: 2221.99MIN: 2226.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU2138001600240032004000SE +/- 1.41, N = 3SE +/- 0.95, N = 3SE +/- 1.56, N = 33931.973934.053936.22MIN: 3922.96MIN: 3925.31MIN: 3927.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU2315001000150020002500SE +/- 2.09, N = 3SE +/- 4.43, N = 3SE +/- 3.89, N = 32233.392237.512241.50MIN: 2223.36MIN: 2225.32MIN: 2228.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU2310.78121.56242.34363.12483.906SE +/- 0.01356, N = 3SE +/- 0.00870, N = 3SE +/- 0.00857, N = 33.468023.469153.47200MIN: 3.32MIN: 3.31MIN: 3.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Phoronix Test Suite v10.8.5