rt gh200

ARMv8 Neoverse-V2 testing with a Pegatron JIMBO P4352 (00022432 BIOS) and NVIDIA GH200 144G HBM3e 143GB 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 2410163-NE-RTGH2003260
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October 15
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rt gh200OpenBenchmarking.orgPhoronix Test SuiteARMv8 Neoverse-V2 @ 3.47GHz (72 Cores)Pegatron JIMBO P4352 (00022432 BIOS)1 x 480GB LPDDR5-6400MT/s NVIDIA 699-2G530-0236-RC11000GB CT1000T700SSD3NVIDIA GH200 144G HBM3e 143GB2 x Intel X550Ubuntu 24.046.8.0-45-generic-64k (aarch64)NVIDIAOpenCL 3.0 CUDA 12.6.65GCC 13.2.0ext41920x1200ProcessorMotherboardMemoryDiskGraphicsNetworkOSKernelDisplay DriverOpenCLCompilerFile-SystemScreen ResolutionRt Gh200 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --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-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-dIwDw0/gcc-13-13.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v - Scaling Governor: cppc_cpufreq ondemand (Boost: Disabled)- 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 __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcwdResult OverviewPhoronix Test Suite100%101%101%102%102%LiteRTXNNPACKoneDNN

rt gh200litert: NASNet Mobilelitert: Inception ResNet V2onednn: Deconvolution Batch shapes_1d - CPUonednn: IP Shapes 3D - CPUonednn: IP Shapes 1D - CPUxnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Smalllitert: Mobilenet Quantxnnpack: FP32MobileNetV3Smallxnnpack: QS8MobileNetV2onednn: Recurrent Neural Network Inference - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Training - CPUxnnpack: FP32MobileNetV3Largexnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV1xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV1litert: Inception V4onednn: Convolution Batch Shapes Auto - CPUlitert: Quantized COCO SSD MobileNet v1litert: SqueezeNetlitert: Mobilenet Floatlitert: DeepLab V3abcwd12144.39751.9264.042621.754937.20728491005885.312104294912605.264.904333136.4151313264709456398385.1033.62551509.54974.490582.5311554.9111628.09364.5664.794021.431236.4477836993878.918102994312820.265.397333108.0149513164649376418417.1133.26631493.54976.666586.6571560.0211446.39731.3163.010821.815036.8695853985892.209104593312756.364.901632626.6149313094709346338472.3233.49281506.16971.853583.9961587.5212010.29626.9263.489521.937636.83758531004896.029104994512676.264.378233137.9150313254709466398378.4033.63831508.69980.625585.4751584.85OpenBenchmarking.org

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobilewdcba3K6K9K12K15KSE +/- 111.66, N = 15SE +/- 99.01, N = 15SE +/- 107.12, N = 15SE +/- 103.46, N = 1512010.211446.311628.012144.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2wdcba2K4K6K8K10KSE +/- 112.95, N = 3SE +/- 40.36, N = 3SE +/- 70.78, N = 3SE +/- 135.40, N = 39626.929731.319364.569751.92

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUwdcba1428425670SE +/- 0.64, N = 3SE +/- 0.18, N = 3SE +/- 0.68, N = 5SE +/- 0.29, N = 363.4963.0164.7964.04MIN: 27.37MIN: 26.95MIN: 27.29MIN: 26.961. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUwdcba510152025SE +/- 0.24, N = 15SE +/- 0.27, N = 15SE +/- 0.17, N = 3SE +/- 0.20, N = 321.9421.8221.4321.75MIN: 2.41MIN: 2.84MIN: 2.88MIN: 6.421. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUwdcba918273645SE +/- 0.34, N = 7SE +/- 0.25, N = 13SE +/- 0.19, N = 3SE +/- 0.46, N = 1536.8436.8736.4537.21MIN: 9.15MIN: 7.15MIN: 6.72MIN: 8.561. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2wdcba2004006008001000SE +/- 7.26, N = 3SE +/- 11.67, N = 3SE +/- 6.11, N = 3SE +/- 10.58, N = 38538538368491. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallwdcba2004006008001000SE +/- 13.35, N = 3SE +/- 5.03, N = 3SE +/- 5.90, N = 3SE +/- 14.26, N = 3100498599310051. (CXX) g++ options: -O3 -lrt -lm

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantwdcba2004006008001000SE +/- 1.36, N = 3SE +/- 7.20, N = 9SE +/- 12.25, N = 3SE +/- 5.58, N = 3896.03892.21878.92885.31

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallwdcba2004006008001000SE +/- 9.24, N = 3SE +/- 12.99, N = 3SE +/- 7.09, N = 3SE +/- 14.43, N = 310491045102910421. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2wdcba2004006008001000SE +/- 12.57, N = 3SE +/- 3.33, N = 3SE +/- 9.50, N = 2SE +/- 14.57, N = 39459339439491. (CXX) g++ options: -O3 -lrt -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUwdcba3K6K9K12K15KSE +/- 175.20, N = 15SE +/- 151.52, N = 12SE +/- 139.24, N = 3SE +/- 124.52, N = 1512676.212756.312820.212605.2MIN: 5982.7MIN: 5719.24MIN: 6727.36MIN: 5050.891. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUwdcba1530456075SE +/- 0.63, N = 3SE +/- 0.18, N = 3SE +/- 0.38, N = 3SE +/- 0.18, N = 364.3864.9065.4064.90MIN: 10.33MIN: 51.95MIN: 56.8MIN: 52.661. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUwdcba7K14K21K28K35KSE +/- 203.73, N = 3SE +/- 383.55, N = 12SE +/- 408.18, N = 3SE +/- 285.08, N = 333137.932626.633108.033136.4MIN: 30535MIN: 25969.2MIN: 30321.8MIN: 30879.81. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largewdcba30060090012001500SE +/- 14.05, N = 3SE +/- 2.67, N = 3SE +/- 2.52, N = 3SE +/- 21.95, N = 315031493149515131. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largewdcba30060090012001500SE +/- 16.92, N = 3SE +/- 5.21, N = 3SE +/- 7.75, N = 3SE +/- 23.90, N = 313251309131613261. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1wdcba100200300400500SE +/- 3.38, N = 3SE +/- 6.36, N = 3SE +/- 2.52, N = 3SE +/- 4.33, N = 34704704644701. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2wdcba2004006008001000SE +/- 12.44, N = 3SE +/- 1.20, N = 3SE +/- 4.37, N = 3SE +/- 12.91, N = 39469349379451. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1wdcba140280420560700SE +/- 2.03, N = 3SE +/- 5.00, N = 3SE +/- 3.61, N = 3SE +/- 6.08, N = 36396336416391. (CXX) g++ options: -O3 -lrt -lm

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4wdcba2K4K6K8K10KSE +/- 4.64, N = 3SE +/- 45.37, N = 3SE +/- 13.66, N = 3SE +/- 22.61, N = 38378.408472.328417.118385.10

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUwdcba816243240SE +/- 0.26, N = 3SE +/- 0.42, N = 3SE +/- 0.34, N = 3SE +/- 0.21, N = 333.6433.4933.2733.63MIN: 13.01MIN: 11.93MIN: 10.06MIN: 13.441. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1wdcba30060090012001500SE +/- 7.46, N = 3SE +/- 6.56, N = 3SE +/- 8.13, N = 3SE +/- 5.30, N = 31508.691506.161493.541509.54

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetwdcba2004006008001000SE +/- 7.24, N = 3SE +/- 6.75, N = 3SE +/- 1.93, N = 3SE +/- 4.48, N = 3980.63971.85976.67974.49

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatwdcba130260390520650SE +/- 5.73, N = 3SE +/- 5.75, N = 3SE +/- 5.14, N = 3SE +/- 4.90, N = 3585.48584.00586.66582.53

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3wdcba30060090012001500SE +/- 24.49, N = 15SE +/- 25.75, N = 15SE +/- 14.51, N = 15SE +/- 19.05, N = 41584.851587.521560.021554.91