3400g Intel oneDNN 2.6

AMD Ryzen 5 3400G testing with a ASUS PRIME B450M-A (2006 BIOS) and ASUS AMD Picasso 2GB on Ubuntu 19.10 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 2203308-IB-3400GINTE08
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AMD Ryzen 5 3400G
March 29 2022
  41 Minutes
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March 29 2022
  43 Minutes
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March 30 2022
  41 Minutes
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3400g Intel oneDNN 2.6OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads)ASUS PRIME B450M-A (2006 BIOS)AMD Raven/Raven22 x 8192 MB DDR4-3000MT/s CRUCIAL29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EEASUS AMD Picasso 2GB (1400/1500MHz)AMD Raven/Raven2/FenghuangSyncMasterRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-46-generic (x86_64)GNOME Shell 3.34.1X Server1.1.107GCC 9.2.1 20191008ext41280x800ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen Resolution3400g Intel OneDNN 2.6 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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 - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8108109- 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 STIBP: disabled RSB filling + tsx_async_abort: Not affected

AMD Ryzen 5 3400GBCResult OverviewPhoronix Test Suite100%101%101%102%102%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNND.B.s - u8s8f32 - CPUIP Shapes 1D - u8s8f32 - CPUIP Shapes 1D - f32 - CPUR.N.N.T - bf16bf16bf16 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.T - u8s8f32 - CPUC.B.S.A - u8s8f32 - CPUR.N.N.I - f32 - CPUR.N.N.I - bf16bf16bf16 - CPUR.N.N.T - f32 - CPUIP Shapes 3D - f32 - CPUIP Shapes 3D - u8s8f32 - CPUM.M.B.S.T - u8s8f32 - CPUD.B.s - f32 - CPUD.B.s - f32 - CPUD.B.s - u8s8f32 - CPUC.B.S.A - f32 - CPUM.M.B.S.T - f32 - CPU

3400g Intel oneDNN 2.6onednn: 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 - CPUAMD Ryzen 5 3400GBC13.498311.446010.92343.1804519.803320.027725.525529.710613.562918.574613451.66907.3613486.16878.766.6697213538.96858.284.8331713.615611.436110.82143.1780719.774720.044025.515529.649513.538918.950913417.76885.0913551.96897.926.6773313520.86879.684.8181113.434111.472610.98773.1704619.794520.072725.583329.838113.543618.612413467.66875.2413465.86925.986.6750913429.76885.894.82613OpenBenchmarking.org

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G3691215SE +/- 0.06, N = 3SE +/- 0.15, N = 7SE +/- 0.09, N = 313.4313.6213.50MIN: 12.97MIN: 12.96MIN: 13.081. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G3691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.4711.4411.45MIN: 11.29MIN: 11.28MIN: 11.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G3691215SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 310.9910.8210.92MIN: 10.75MIN: 10.72MIN: 10.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G0.71561.43122.14682.86243.578SE +/- 0.00291, N = 3SE +/- 0.00470, N = 3SE +/- 0.00380, N = 33.170463.178073.18045MIN: 2.98MIN: 3MIN: 2.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 319.7919.7719.80MIN: 19.67MIN: 19.65MIN: 19.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 320.0720.0420.03MIN: 19.5MIN: 19.49MIN: 19.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 325.5825.5225.53MIN: 24.79MIN: 24.74MIN: 24.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G714212835SE +/- 0.16, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 329.8429.6529.71MIN: 29.43MIN: 29.44MIN: 29.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 313.5413.5413.56MIN: 13.3MIN: 13.31MIN: 13.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G510152025SE +/- 0.04, N = 3SE +/- 0.19, N = 8SE +/- 0.01, N = 318.6118.9518.57MIN: 17.95MIN: 17.9MIN: 17.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G3K6K9K12K15KSE +/- 53.62, N = 3SE +/- 69.35, N = 3SE +/- 23.68, N = 313467.613417.713451.6MIN: 13347.5MIN: 13235.9MIN: 13305.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G15003000450060007500SE +/- 11.63, N = 3SE +/- 12.29, N = 3SE +/- 27.87, N = 36875.246885.096907.36MIN: 6827.72MIN: 6817.57MIN: 6869.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G3K6K9K12K15KSE +/- 39.15, N = 3SE +/- 55.49, N = 3SE +/- 80.24, N = 313465.813551.913486.1MIN: 13299.5MIN: 13344.9MIN: 13330.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G15003000450060007500SE +/- 0.73, N = 3SE +/- 13.86, N = 3SE +/- 15.00, N = 36925.986897.926878.76MIN: 6871.85MIN: 6863.14MIN: 6844.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCBAMD Ryzen 5 3400G246810SE +/- 0.01181, N = 3SE +/- 0.01518, N = 3SE +/- 0.00374, N = 36.675096.677336.66972MIN: 6.58MIN: 6.56MIN: 6.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUCBAMD Ryzen 5 3400G3K6K9K12K15KSE +/- 53.85, N = 3SE +/- 75.86, N = 3SE +/- 80.52, N = 313429.713520.813538.9MIN: 13307.2MIN: 13361.7MIN: 13388.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUCBAMD Ryzen 5 3400G15003000450060007500SE +/- 16.31, N = 3SE +/- 25.75, N = 3SE +/- 17.54, N = 36885.896879.686858.28MIN: 6831.76MIN: 6822.18MIN: 6815.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCBAMD Ryzen 5 3400G1.08752.1753.26254.355.4375SE +/- 0.00506, N = 3SE +/- 0.00453, N = 3SE +/- 0.00675, N = 34.826134.818114.83317MIN: 4.75MIN: 4.74MIN: 4.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl