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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
October 15
  2 Hours, 55 Minutes
b
October 15
  2 Hours, 40 Minutes
c
October 15
  3 Hours, 39 Minutes
wd
October 16
  3 Hours, 4 Minutes
Invert Hiding All Results Option
  3 Hours, 4 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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 gh200onednn: Recurrent Neural Network Inference - CPUonednn: Recurrent Neural Network Training - CPUlitert: NASNet Mobilexnnpack: QS8MobileNetV2xnnpack: FP16MobileNetV3Smallxnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV1xnnpack: FP32MobileNetV3Smallxnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV1litert: DeepLab V3litert: Mobilenet Quantlitert: Inception V4litert: Inception ResNet V2litert: Quantized COCO SSD MobileNet v1litert: SqueezeNetlitert: Mobilenet Floatonednn: IP Shapes 1D - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_3d - CPUabcwd12605.233136.412144.394910051326849470104215139456391554.91885.3128385.109751.921509.54974.490582.53137.207264.042621.754933.625564.904312820.233108.011628.09439931316836464102914959376411560.02878.9188417.119364.561493.54976.666586.65736.447764.794021.431233.266365.397312756.332626.611446.39339851309853470104514939346331587.52892.2098472.329731.311506.16971.853583.99636.869563.010821.815033.492864.901612676.233137.912010.294510041325853470104915039466391584.85896.0298378.409626.921508.69980.625585.47536.837563.489521.937633.638364.3782OpenBenchmarking.org

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUawdcb3K6K9K12K15KSE +/- 124.52, N = 15SE +/- 175.20, N = 15SE +/- 151.52, N = 12SE +/- 139.24, N = 312605.212676.212756.312820.2MIN: 5050.89MIN: 5982.7MIN: 5719.24MIN: 6727.361. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUcbawd7K14K21K28K35KSE +/- 383.55, N = 12SE +/- 408.18, N = 3SE +/- 285.08, N = 3SE +/- 203.73, N = 332626.633108.033136.433137.9MIN: 25969.2MIN: 30321.8MIN: 30879.8MIN: 305351. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobilecbwda3K6K9K12K15KSE +/- 99.01, N = 15SE +/- 107.12, N = 15SE +/- 111.66, N = 15SE +/- 103.46, N = 1511446.311628.012010.212144.3

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2cbwda2004006008001000SE +/- 3.33, N = 3SE +/- 9.50, N = 2SE +/- 12.57, N = 3SE +/- 14.57, N = 39339439459491. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallcbwda2004006008001000SE +/- 5.03, N = 3SE +/- 5.90, N = 3SE +/- 13.35, N = 3SE +/- 14.26, N = 3985993100410051. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largecbwda30060090012001500SE +/- 5.21, N = 3SE +/- 7.75, N = 3SE +/- 16.92, N = 3SE +/- 23.90, N = 313091316132513261. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2bacwd2004006008001000SE +/- 6.11, N = 3SE +/- 10.58, N = 3SE +/- 11.67, N = 3SE +/- 7.26, N = 38368498538531. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1bacwd100200300400500SE +/- 2.52, N = 3SE +/- 4.33, N = 3SE +/- 6.36, N = 3SE +/- 3.38, N = 34644704704701. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallbacwd2004006008001000SE +/- 7.09, N = 3SE +/- 14.43, N = 3SE +/- 12.99, N = 3SE +/- 9.24, N = 310291042104510491. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largecbwda30060090012001500SE +/- 2.67, N = 3SE +/- 2.52, N = 3SE +/- 14.05, N = 3SE +/- 21.95, N = 314931495150315131. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2cbawd2004006008001000SE +/- 1.20, N = 3SE +/- 4.37, N = 3SE +/- 12.91, N = 3SE +/- 12.44, N = 39349379459461. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1cawdb140280420560700SE +/- 5.00, N = 3SE +/- 6.08, N = 3SE +/- 2.03, N = 3SE +/- 3.61, N = 36336396396411. (CXX) g++ options: -O3 -lrt -lm

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3abwdc30060090012001500SE +/- 19.05, N = 4SE +/- 14.51, N = 15SE +/- 24.49, N = 15SE +/- 25.75, N = 151554.911560.021584.851587.52

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantbacwd2004006008001000SE +/- 12.25, N = 3SE +/- 5.58, N = 3SE +/- 7.20, N = 9SE +/- 1.36, N = 3878.92885.31892.21896.03

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4wdabc2K4K6K8K10KSE +/- 4.64, N = 3SE +/- 22.61, N = 3SE +/- 13.66, N = 3SE +/- 45.37, N = 38378.408385.108417.118472.32

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2bwdca2K4K6K8K10KSE +/- 70.78, N = 3SE +/- 112.95, N = 3SE +/- 40.36, N = 3SE +/- 135.40, N = 39364.569626.929731.319751.92

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1bcwda30060090012001500SE +/- 8.13, N = 3SE +/- 6.56, N = 3SE +/- 7.46, N = 3SE +/- 5.30, N = 31493.541506.161508.691509.54

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetcabwd2004006008001000SE +/- 6.75, N = 3SE +/- 4.48, N = 3SE +/- 1.93, N = 3SE +/- 7.24, N = 3971.85974.49976.67980.63

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatacwdb130260390520650SE +/- 4.90, N = 3SE +/- 5.75, N = 3SE +/- 5.73, N = 3SE +/- 5.14, N = 3582.53584.00585.48586.66

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUbwdca918273645SE +/- 0.19, N = 3SE +/- 0.34, N = 7SE +/- 0.25, N = 13SE +/- 0.46, N = 1536.4536.8436.8737.21MIN: 6.72MIN: 9.15MIN: 7.15MIN: 8.561. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUcwdab1428425670SE +/- 0.18, N = 3SE +/- 0.64, N = 3SE +/- 0.29, N = 3SE +/- 0.68, N = 563.0163.4964.0464.79MIN: 26.95MIN: 27.37MIN: 26.96MIN: 27.291. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUbacwd510152025SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 15SE +/- 0.24, N = 1521.4321.7521.8221.94MIN: 2.88MIN: 6.42MIN: 2.84MIN: 2.411. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUbcawd816243240SE +/- 0.34, N = 3SE +/- 0.42, N = 3SE +/- 0.21, N = 3SE +/- 0.26, N = 333.2733.4933.6333.64MIN: 10.06MIN: 11.93MIN: 13.44MIN: 13.011. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUwdcab1530456075SE +/- 0.63, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.38, N = 364.3864.9064.9065.40MIN: 10.33MIN: 51.95MIN: 52.66MIN: 56.81. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl