onednn 5900hx

AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and llvmpipe on Ubuntu 22.10 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 2303314-PTS-ONEDNN5916
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March 31 2023
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March 31 2023
  12 Minutes
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March 31 2023
  16 Minutes
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onednn 5900hxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads)ASUS G513QY v1.0 (G513QY.318 BIOS)AMD Renoir/Cezanne16GB512GB SAMSUNG MZVLQ512HBLU-00B00llvmpipeAMD Navi 21/23Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCIUbuntu 22.105.19.0-38-generic (x86_64)GNOME Shell 43.0X Server 1.21.1.44.5 Mesa 22.2.5 (LLVM 15.0.2 256 bits)1.3.224GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionOnednn 5900hx BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balanced - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%101%101%102%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNND.B.s - f32 - CPUD.B.s - f32 - CPUIP Shapes 3D - f32 - CPUIP Shapes 1D - f32 - CPUR.N.N.T - f32 - CPUR.N.N.I - f32 - CPUC.B.S.A - f32 - CPU

onednn 5900hxonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUabc4.1050715.996231.38698.565057.058444471.752903.094.1135716.061631.29818.697897.029994478.792912.574.0845115.918631.30768.756676.966834459.962906.06OpenBenchmarking.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 the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabc0.92561.85122.77683.70244.628SE +/- 0.00738, N = 3SE +/- 0.00572, N = 3SE +/- 0.02707, N = 34.105074.113574.08451MIN: 3.82MIN: 3.83MIN: 3.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabc246810Min: 4.09 / Avg: 4.11 / Max: 4.12Min: 4.1 / Avg: 4.11 / Max: 4.12Min: 4.03 / Avg: 4.08 / Max: 4.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabc48121620SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 316.0016.0615.92MIN: 15.69MIN: 15.64MIN: 15.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabc48121620Min: 15.88 / Avg: 16 / Max: 16.07Min: 15.92 / Avg: 16.06 / Max: 16.34Min: 15.88 / Avg: 15.92 / Max: 15.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabc714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 331.3931.3031.31MIN: 30.68MIN: 30.76MIN: 30.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabc714212835Min: 31.28 / Avg: 31.39 / Max: 31.46Min: 31.29 / Avg: 31.3 / Max: 31.31Min: 31.26 / Avg: 31.31 / Max: 31.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabc246810SE +/- 0.06729, N = 15SE +/- 0.03549, N = 3SE +/- 0.06355, N = 158.565058.697898.75667MIN: 5.6MIN: 5.63MIN: 5.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabc3691215Min: 8.14 / Avg: 8.57 / Max: 9.12Min: 8.63 / Avg: 8.7 / Max: 8.75Min: 8.13 / Avg: 8.76 / Max: 9.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabc246810SE +/- 0.00759, N = 3SE +/- 0.03988, N = 3SE +/- 0.08084, N = 37.058447.029996.96683MIN: 6.76MIN: 6.76MIN: 6.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabc3691215Min: 7.05 / Avg: 7.06 / Max: 7.07Min: 6.97 / Avg: 7.03 / Max: 7.11Min: 6.86 / Avg: 6.97 / Max: 7.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabc10002000300040005000SE +/- 14.73, N = 3SE +/- 7.83, N = 3SE +/- 1.25, N = 34471.754478.794459.96MIN: 4380.11MIN: 4406.11MIN: 4386.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabc8001600240032004000Min: 4443.16 / Avg: 4471.75 / Max: 4492.16Min: 4469.12 / Avg: 4478.79 / Max: 4494.3Min: 4457.53 / Avg: 4459.96 / Max: 4461.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabc6001200180024003000SE +/- 5.35, N = 3SE +/- 6.31, N = 3SE +/- 2.45, N = 32903.092912.572906.06MIN: 2836.82MIN: 2843.13MIN: 2833.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabc5001000150020002500Min: 2894.81 / Avg: 2903.09 / Max: 2913.09Min: 2903.54 / Avg: 2912.57 / Max: 2924.71Min: 2901.53 / Avg: 2906.06 / Max: 2909.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl