litert-onednn-xnnpack

2 x AMD EPYC 9575F 64-Core testing with a AMD VOLCANO (RVOT1000D BIOS) and ASPEED on Ubuntu 24.04 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 2410169-NE-LITERTONE51
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litert-onednn-xnnpack OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 9575F 64-Core @ 5.01GHz (128 Cores / 256 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a1520GB2 x 3841GB SAMSUNG MZWLO3T8HCLS-00A07ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.8.12-powercap-1ah-patched (x86_64)GCC 13.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionLitert-onednn-xnnpack 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-backtrace --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-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/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 - a: Scaling Governor: amd-pstate-epp powersave (EPP: power) - CPU Microcode: 0xb002110 - aa: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xb002110 - b: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xb002110 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

aaabLogarithmic Result OverviewPhoronix Test SuiteLiteRTLiteRToneDNNLiteRTLiteRTLiteRToneDNNoneDNNoneDNNoneDNNoneDNNoneDNNNASNet MobileDeepLab V3D.B.s - CPUMobilenet FloatInception V4SqueezeNetR.N.N.I - CPUIP Shapes 3D - CPUD.B.s - CPUC.B.S.A - CPUR.N.N.T - CPUIP Shapes 1D - CPU

litert-onednn-xnnpack litert: DeepLab V3litert: SqueezeNetlitert: Inception V4litert: NASNet Mobilelitert: Mobilenet Floatlitert: Mobilenet Quantlitert: Inception ResNet V2litert: Quantized COCO SSD MobileNet v1onednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUxnnpack: FP32MobileNetV1xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV1xnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QS8MobileNetV2aaab28110.19607.4065970.91800025922.590.6319540.4517910.25839617.81790.429801417.017387.45923838.89561.256801413385605619.3582918.413210210521.10.6320950.4585060.25977715.39180.425348418.838395.488713016796227752122474831852527319257851725722624.79771.8266603.91909876222.5536194.890362.010308.10.6348810.4538330.25773515.74650.430174415.615389.98876991432522324171881050414703270791747925089OpenBenchmarking.org

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3aaab6K12K18K24K30KSE +/- 3193.55, N = 12SE +/- 1635.57, N = 1528110.123838.822624.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetaaab2K4K6K8K10KSE +/- 109.45, N = 15SE +/- 126.71, N = 39607.409561.259771.82

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4aaab15K30K45K60K75KSE +/- 5520.67, N = 15SE +/- 746.34, N = 1565970.968014.066603.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobileaaab300K600K900K1200K1500KSE +/- 16545.28, N = 12SE +/- 16019.04, N = 121800021338560190987

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floataaab13002600390052006500SE +/- 119.72, N = 13SE +/- 104.76, N = 155922.595619.356222.55

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantaab20K40K60K80K100KSE +/- 5253.23, N = 1582918.436194.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2aab30K60K90K120K150KSE +/- 2643.69, N = 12132102.090362.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1aab2K4K6K8K10KSE +/- 144.17, N = 310521.110308.1

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUaaab0.14280.28560.42840.57120.714SE +/- 0.001909, N = 3SE +/- 0.002596, N = 30.6319540.6320950.634881MIN: 0.57MIN: 0.57MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUaaab0.10320.20640.30960.41280.516SE +/- 0.002024, N = 3SE +/- 0.000988, N = 30.4517910.4585060.453833MIN: 0.39MIN: 0.4MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUaaab0.05840.11680.17520.23360.292SE +/- 0.000187, N = 3SE +/- 0.000249, N = 30.2583960.2597770.257735MIN: 0.24MIN: 0.25MIN: 0.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUaaab48121620SE +/- 0.01, N = 3SE +/- 0.07, N = 317.8215.3915.75MIN: 14.97MIN: 13.31MIN: 13.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUaaab0.09680.19360.29040.38720.484SE +/- 0.004175, N = 3SE +/- 0.005431, N = 30.4298010.4253480.430174MIN: 0.41MIN: 0.41MIN: 0.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUaaab90180270360450SE +/- 1.82, N = 3SE +/- 1.16, N = 3417.02418.84415.62MIN: 406.83MIN: 408.29MIN: 408.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUaaab90180270360450SE +/- 2.03, N = 3SE +/- 3.25, N = 3387.46395.49389.99MIN: 376.31MIN: 382.73MIN: 376.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1aab16003200480064008000713076991. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2aab4K8K12K16K20K16796143251. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largeaab5K10K15K20K25K22775223241. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallaab5K10K15K20K25K21224171881. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1aab2K4K6K8K10K7483105041. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2aab4K8K12K16K20K18525147031. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largeaab6K12K18K24K30K27319270791. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallaab6K12K18K24K30K25785174791. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2aab5K10K15K20K25K17257250891. (CXX) g++ options: -O3 -lrt -lm