oneDNN 3.0 Intel Sapphire Rapids AMX

2 x Intel Xeon Platinum 8490H oneDNN Intel AMX Sapphire Rapids benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301158-NE-ONEDNN30I77
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AVX512_CORE_AMX
January 15 2023
  12 Minutes
AVX512_CORE_FP16
January 15 2023
  23 Minutes
AVX512_CORE_BF16
January 15 2023
  27 Minutes
AVX512_CORE_VNNI
January 15 2023
  27 Minutes
AVX512_CORE
January 15 2023
  29 Minutes
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oneDNN 3.0 Intel Sapphire Rapids AMXOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads)Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS)Intel Device 1bce16 x 64 GB 4800MT/s Samsung M321R8GA0BB0-CQKEG2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 3841GB Micron_9300_MTFDHAL3T8TDP + 960GB INTEL SSDSC2KG96ASPEEDVGA HDMI4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-TUbuntu 22.046.1.4-060104-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.31.2.204GCC 11.3.0 + Clang 14.0.0-1ubuntu1ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionOneDNN 3.0 Intel Sapphire Rapids AMX BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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-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 - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0- 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

AVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORELogarithmic Result OverviewPhoronix Test SuiteoneDNNoneDNNoneDNNoneDNNoneDNNM.M.B.S.T - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUIP Shapes 1D - bf16bf16bf16 - CPUR.N.N.I - bf16bf16bf16 - CPU

oneDNN 3.0 Intel Sapphire Rapids AMXonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE0.5806460.4457795.737170.329961850.3462.170731.045116.483660.383785875.2842.171091.048366.588410.386636864.4593.067212.378926.8243316.5751862.4213.056122.383616.6481616.4589856.896OpenBenchmarking.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 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE0.69011.38022.07032.76043.4505SE +/- 0.006207, N = 4SE +/- 0.004682, N = 3SE +/- 0.008260, N = 3SE +/- 0.014891, N = 3SE +/- 0.025853, N = 30.5806462.1707302.1710903.0672103.056120MIN: 0.47MIN: 2.01MIN: 2MIN: 2.85MIN: 2.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE246810Min: 0.57 / Avg: 0.58 / Max: 0.6Min: 2.16 / Avg: 2.17 / Max: 2.18Min: 2.16 / Avg: 2.17 / Max: 2.18Min: 3.04 / Avg: 3.07 / Max: 3.09Min: 3.02 / Avg: 3.06 / Max: 3.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE0.53631.07261.60892.14522.6815SE +/- 0.001544, N = 9SE +/- 0.003634, N = 9SE +/- 0.005254, N = 9SE +/- 0.007894, N = 9SE +/- 0.008552, N = 90.4457791.0451101.0483602.3789202.383610MIN: 0.38MIN: 1.01MIN: 1.01MIN: 2.3MIN: 2.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE246810Min: 0.44 / Avg: 0.45 / Max: 0.45Min: 1.03 / Avg: 1.05 / Max: 1.06Min: 1.04 / Avg: 1.05 / Max: 1.08Min: 2.36 / Avg: 2.38 / Max: 2.42Min: 2.36 / Avg: 2.38 / Max: 2.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE246810SE +/- 0.11275, N = 15SE +/- 0.27236, N = 15SE +/- 0.33773, N = 15SE +/- 0.31537, N = 15SE +/- 0.26087, N = 155.737176.483666.588416.824336.64816MIN: 3.75MIN: 3.65MIN: 3.66MIN: 4.26MIN: 3.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE3691215Min: 4.79 / Avg: 5.74 / Max: 6.62Min: 5.14 / Avg: 6.48 / Max: 8.68Min: 5.04 / Avg: 6.59 / Max: 9.49Min: 5.53 / Avg: 6.82 / Max: 9.06Min: 5.2 / Avg: 6.65 / Max: 9.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE48121620SE +/- 0.002541, N = 4SE +/- 0.001848, N = 4SE +/- 0.003559, N = 4SE +/- 0.135276, N = 4SE +/- 0.370395, N = 150.3299610.3837850.38663616.57510016.458900MIN: 15.34MIN: 12.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE48121620Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.38 / Avg: 0.38 / Max: 0.39Min: 0.38 / Avg: 0.39 / Max: 0.39Min: 16.4 / Avg: 16.58 / Max: 16.97Min: 13.77 / Avg: 16.46 / Max: 18.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE2004006008001000SE +/- 9.48, N = 4SE +/- 12.20, N = 12SE +/- 10.05, N = 15SE +/- 13.04, N = 15SE +/- 10.59, N = 15850.35875.28864.46862.42856.90MIN: 797.61MIN: 777.12MIN: 758.74MIN: 767.35MIN: 741.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE150300450600750Min: 822.36 / Avg: 850.35 / Max: 864.19Min: 813.47 / Avg: 875.28 / Max: 963.03Min: 781.77 / Avg: 864.46 / Max: 943.67Min: 786.04 / Avg: 862.42 / Max: 959.13Min: 765.16 / Avg: 856.9 / Max: 905.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE9001800270036004500Min: 1900 / Avg: 2940.37 / Max: 5340Min: 1900 / Avg: 2938.87 / Max: 5424Min: 1900 / Avg: 2941.89 / Max: 3518Min: 1900 / Avg: 2941.72 / Max: 3515Min: 1900 / Avg: 2933.61 / Max: 3515

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE130260390520650Min: 106.17 / Avg: 565.15 / Max: 756.46Min: 193.64 / Avg: 570.71 / Max: 756.46Min: 105.24 / Avg: 567.97 / Max: 756.24Min: 104.8 / Avg: 550.33 / Max: 744.38Min: 195.36 / Avg: 545.16 / Max: 744.31

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX512_CORE_AMXAVX512_CORE_FP16AVX512_CORE_BF16AVX512_CORE_VNNIAVX512_CORE1122334455Min: 29 / Avg: 48.95 / Max: 54Min: 33 / Avg: 49.66 / Max: 56Min: 28 / Avg: 49 / Max: 54Min: 29 / Avg: 47.07 / Max: 53Min: 30 / Avg: 46.72 / Max: 53