Supermicro X13DEM + Xeon Max 9480 2S

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Performance Per
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Date
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  Test
  Duration
Supermicro X13DEM
July 08 2023
  15 Hours, 35 Minutes
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Supermicro X13DEM

Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb

OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/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
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c0001d1
Python Notes: Python 3.11.2
Security Notes: 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

Supermicro X13DEM + Xeon Max 9480 2SOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads)Supermicro X13DEM v1.10 (1.3 BIOS)Intel Device 1bce512GB7682GB INTEL SSDPF2KX076TZASPEEDVE2282 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200GbUbuntu 23.046.2.0-20-generic (x86_64)GNOME Shell 44.0X Server 1.21.1.7GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionSupermicro X13DEM + Xeon Max 9480 2S 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-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/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: intel_cpufreq performance - CPU Microcode: 0x2c0001d1- Python 3.11.2- 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

Supermicro X13DEM + Xeon Max 9480 2Shpcg: 160 160 160 - 1800hpcg: 144 144 144 - 1800hpcg: 160 160 160 - 60hpcg: 104 104 104 - 1800tensorflow: CPU - 256 - ResNet-50hpcg: 144 144 144 - 60tensorflow: CPU - 512 - ResNet-50onednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUtensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 16 - ResNet-50liquid-dsp: 224 - 256 - 57tensorflow: CPU - 256 - GoogLeNethpcg: 104 104 104 - 60tensorflow: CPU - 64 - ResNet-50openfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeliquid-dsp: 128 - 256 - 57tensorflow: CPU - 16 - GoogLeNetonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUtensorflow: CPU - 512 - AlexNetopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUtensorflow: CPU - 32 - ResNet-50onednn: IP Shapes 1D - bf16bf16bf16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUtensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 256 - AlexNetonednn: IP Shapes 3D - u8s8f32 - CPUtensorflow: CPU - 32 - GoogLeNetliquid-dsp: 224 - 256 - 512liquid-dsp: 128 - 256 - 512liquid-dsp: 64 - 256 - 512liquid-dsp: 224 - 256 - 32liquid-dsp: 128 - 256 - 32liquid-dsp: 64 - 256 - 57liquid-dsp: 64 - 256 - 32gromacs: MPI CPU - water_GMX50_bareopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timetensorflow: CPU - 64 - AlexNettensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNetonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUheffte: c2c - FFTW - double - 128heffte: r2c - FFTW - double - 128heffte: c2c - FFTW - float - 128heffte: r2c - FFTW - float - 128Supermicro X13DEM46.612252.329149.277783.386870.3567.635776.5016205.215281.51561.501529.623754632500970.43111618.65229.9238.843491026667202.7598.706256.23216.41374185.79795280852500095.540.5507610.465790703.37342.74326.0749.139.8600118.306106.98788.8735.34179.24156.00776.3035.928.6789548.52576.2720.835368.253.4431567.436.6816412.071.370078.529.842838.23150.72630.935.95375131.071089100000960263333691566667419800000030397666672003333333193846666710.48741.64175139.643513452.07229.02346.8098.32753.967370.6353916.915823.9927783.6001125.2268131.7223178.192OpenBenchmarking.org

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 160 160 160 - RT: 1800Supermicro X13DEM1122334455SE +/- 0.09, N = 346.611. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM6001200180024003000Min: 1300 / Avg: 1727.02 / Max: 3501
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorSupermicro X13DEM150300450600750Min: 155.88 / Avg: 598.43 / Max: 881.89
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorSupermicro X13DEM918273645Min: 33 / Avg: 41.4 / Max: 45
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM714212835Min: 31.85 / Avg: 32.75 / Max: 32.85
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption MonitorSupermicro X13DEM140280420560700Min: 327 / Avg: 794.22 / Max: 819
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature MonitorSupermicro X13DEM1122334455Min: 37 / Avg: 49.97 / Max: 53

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 1800Supermicro X13DEM1224364860SE +/- 0.24, N = 352.331. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM6001200180024003000Min: 1200 / Avg: 1651.85 / Max: 3500
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorSupermicro X13DEM150300450600750Min: 159.25 / Avg: 597.19 / Max: 876.5
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorSupermicro X13DEM918273645Min: 32 / Avg: 40.58 / Max: 45
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM714212835Min: 31.85 / Avg: 31.94 / Max: 32.85
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption MonitorSupermicro X13DEM150300450600750Min: 338 / Avg: 789.7 / Max: 827
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature MonitorSupermicro X13DEM1122334455Min: 35 / Avg: 49.71 / Max: 53

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 160 160 160 - RT: 60Supermicro X13DEM1122334455SE +/- 0.49, N = 949.281. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM6001200180024003000Min: 1300 / Avg: 1794.21 / Max: 3501
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorSupermicro X13DEM160320480640800Min: 151.15 / Avg: 604.41 / Max: 908.22
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorSupermicro X13DEM918273645Min: 32 / Avg: 40.3 / Max: 46
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM714212835Min: 29.85 / Avg: 30.62 / Max: 31.85
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption MonitorSupermicro X13DEM150300450600750Min: 300 / Avg: 791.74 / Max: 853
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature MonitorSupermicro X13DEM1122334455Min: 34 / Avg: 48.53 / Max: 53

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 1800Supermicro X13DEM20406080100SE +/- 0.28, N = 383.391. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM8001600240032004000Min: 926 / Avg: 1354.34 / Max: 4668
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorSupermicro X13DEM160320480640800Min: 157.31 / Avg: 608.93 / Max: 914.99
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorSupermicro X13DEM918273645Min: 34 / Avg: 40.44 / Max: 46
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM714212835Min: 30.85 / Avg: 31.57 / Max: 31.85
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption MonitorSupermicro X13DEM150300450600750Min: 317 / Avg: 795.86 / Max: 866
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature MonitorSupermicro X13DEM1122334455Min: 38 / Avg: 51.82 / Max: 54

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50Supermicro X13DEM1632486480SE +/- 0.71, N = 970.35
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM6001200180024003000Min: 2500 / Avg: 3484.14 / Max: 3522
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSupermicro X13DEM160320480640800Min: 244.6 / Avg: 624.97 / Max: 936.08
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorSupermicro X13DEM1020304050Min: 37 / Avg: 42.89 / Max: 49
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption MonitorSupermicro X13DEM150300450600750Min: 439 / Avg: 774.83 / Max: 833
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature MonitorSupermicro X13DEM1020304050Min: 40 / Avg: 46.56 / Max: 51

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60Supermicro X13DEM1530456075SE +/- 1.96, N = 967.641. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM6001200180024003000Min: 1000 / Avg: 1664.62 / Max: 3505
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorSupermicro X13DEM160320480640800Min: 152.58 / Avg: 610.57 / Max: 935.55
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorSupermicro X13DEM918273645Min: 31 / Avg: 39.85 / Max: 44
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM714212835Min: 28.85 / Avg: 29.6 / Max: 29.85
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption MonitorSupermicro X13DEM150300450600750Min: 286 / Avg: 783.75 / Max: 863
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature MonitorSupermicro X13DEM1122334455Min: 34 / Avg: 48.56 / Max: 53

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50Supermicro X13DEM20406080100SE +/- 0.37, N = 376.50
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM6001200180024003000Min: 2400 / Avg: 3487.4 / Max: 3522
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSupermicro X13DEM2004006008001000Min: 247.54 / Avg: 624.5 / Max: 984.43
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorSupermicro X13DEM1020304050Min: 36 / Avg: 43.22 / Max: 50
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM714212835Min: 31.85 / Avg: 32.66 / Max: 32.85
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption MonitorSupermicro X13DEM150300450600750Min: 443 / Avg: 775.68 / Max: 859
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature MonitorSupermicro X13DEM1122334455Min: 40 / Avg: 47.09 / Max: 53

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: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUSupermicro X13DEM3K6K9K12K15KSE +/- 756.91, N = 1216205.2MIN: 8191.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM180030653513OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM229619974OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.347.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1428425670
MinAvgMaxSupermicro X13DEM32.932.933.9OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM432784852OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.046.554.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1530456075

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUSupermicro X13DEM3K6K9K12K15KSE +/- 638.78, N = 915281.5MIN: 8274.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM216131113508OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM2276161001OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.045.548.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM462783854OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.355.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1530456075

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUSupermicro X13DEM30060090012001500SE +/- 17.08, N = 151561.50MIN: 1230.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM230027343505OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM233583926OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.045.149.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM436763864OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.652.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1530456075

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUSupermicro X13DEM30060090012001500SE +/- 22.08, N = 151529.62MIN: 1128.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM238627503513OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM247584929OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.045.050.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM476764897OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.351.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1530456075

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingSupermicro X13DEM80K160K240K320K400KSE +/- 1540.70, N = 153754631. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
MinAvgMaxSupermicro X13DEM180030553517OpenBenchmarking.orgMegahertz, More Is Better7-Zip Compression 22.01CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM2295951087OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.351.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 22.01CPU Temperature Monitor1530456075
OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 22.01Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM444763845OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.753.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 22.01System Temperature Monitor1530456075

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingSupermicro X13DEM50K100K150K200K250KSE +/- 2196.85, N = 152500971. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSupermicro X13DEM0.09680.19360.29040.38720.484SE +/- 0.00, N = 150.43MIN: 0.32 / MAX: 39.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM330235003511OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM227635892OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.146.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM468778855OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.149.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSupermicro X13DEM20K40K60K80K100KSE +/- 1040.90, N = 15111618.651. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetSupermicro X13DEM50100150200250SE +/- 2.27, N = 3229.92
MinAvgMaxSupermicro X13DEM160032943513OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM250618985OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.043.148.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM506774842OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.752.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1530456075

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Supermicro X13DEM918273645SE +/- 0.31, N = 1038.84
MinAvgMaxSupermicro X13DEM350035003512OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM224599880OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.042.446.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM464738797OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.045.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 224 - Buffer Length: 256 - Filter Length: 57Supermicro X13DEM700M1400M2100M2800M3500MSE +/- 23658342.87, N = 1534910266671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM149727883502OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM213582920OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.547.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1428425670
MinAvgMaxSupermicro X13DEM31.931.932.9OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM469756840OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.350.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetSupermicro X13DEM4080120160200SE +/- 2.69, N = 3202.75
MinAvgMaxSupermicro X13DEM197833143513OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM244622955OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.044.048.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM476771823OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.051.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1530456075

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 60Supermicro X13DEM20406080100SE +/- 0.05, N = 398.711. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
MinAvgMaxSupermicro X13DEM110016373504OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM156621927OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM31.038.942.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM28.930.130.9OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1Drive Temperature (nvme0n1) Monitor918273645
MinAvgMaxSupermicro X13DEM357775866OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM34.049.553.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature Monitor1530456075

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50Supermicro X13DEM1326395265SE +/- 0.34, N = 356.23
MinAvgMaxSupermicro X13DEM261334893509OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM256618900OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.044.046.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM498760810OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.046.849.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeSupermicro X13DEM50100150200250216.411. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxSupermicro X13DEM190033003506OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 10CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM244639898OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.948.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10CPU Temperature Monitor1428425670
MinAvgMaxSupermicro X13DEM32.933.033.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM499795853OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.048.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10System Temperature Monitor1530456075

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeSupermicro X13DEM4080120160200185.801. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 57Supermicro X13DEM600M1200M1800M2400M3000MSE +/- 19954824.45, N = 1228085250001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM350035003508OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM242622920OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.045.348.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM455769865OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.048.050.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetSupermicro X13DEM20406080100SE +/- 0.80, N = 1595.54
MinAvgMaxSupermicro X13DEM260034903511OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM229572888OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.041.045.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM31.932.832.9OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM462706804OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.044.448.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

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: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUSupermicro X13DEM0.12390.24780.37170.49560.6195SE +/- 0.012941, N = 150.550761MIN: 0.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM223727663508OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM2215511051OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.042.045.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM471733823OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM38.044.948.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

X Y Z: 192 192 192 - RT: 60

Supermicro X13DEM: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

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: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUSupermicro X13DEM0.10480.20960.31440.41920.524SE +/- 0.004772, N = 120.465790MIN: 0.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM227327853504OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM221539849OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.042.346.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM32.933.233.9OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM453726831OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.045.949.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetSupermicro X13DEM150300450600750SE +/- 7.39, N = 3703.37
MinAvgMaxSupermicro X13DEM260034753504OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM244613912OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.042.647.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM497756816OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.046.150.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSupermicro X13DEM70140210280350SE +/- 0.41, N = 3342.74MIN: 230.49 / MAX: 574.021. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003514OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM248617917OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.043.446.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM493759819OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM41.047.049.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSupermicro X13DEM70140210280350SE +/- 0.37, N = 3326.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50Supermicro X13DEM1122334455SE +/- 0.37, N = 349.13
MinAvgMaxSupermicro X13DEM262634853512OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM242607889OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.043.246.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM470749806OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.049.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

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: bf16bf16bf16 - Engine: CPUSupermicro X13DEM3691215SE +/- 0.11760, N = 159.86001MIN: 5.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM260027943505OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM237590945OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.042.545.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM456732843OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.148.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSupermicro X13DEM510152025SE +/- 0.03, N = 318.30MIN: 12.96 / MAX: 141.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003507OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM251625922OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.046.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM482769874OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.049.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSupermicro X13DEM13002600390052006500SE +/- 9.04, N = 36106.981. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSupermicro X13DEM2004006008001000SE +/- 5.04, N = 3788.87MIN: 554.42 / MAX: 2491.021. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003502OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM228614927OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.043.948.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM487758825OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSupermicro X13DEM816243240SE +/- 0.21, N = 335.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSupermicro X13DEM4080120160200SE +/- 0.33, N = 3179.24MIN: 127.87 / MAX: 809.81. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003505OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM216629903OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.044.447.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM449771857OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.047.049.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSupermicro X13DEM306090120150SE +/- 0.28, N = 3156.001. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSupermicro X13DEM2004006008001000SE +/- 5.33, N = 3776.30MIN: 498.23 / MAX: 2519.421. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003508OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM252621978OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.043.948.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM506768849OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.051.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1530456075

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSupermicro X13DEM816243240SE +/- 0.24, N = 335.921. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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: u8s8f32 - Engine: CPUSupermicro X13DEM246810SE +/- 0.23527, N = 138.67895MIN: 3.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM260027993507OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM218593930OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.042.646.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM32.933.333.9OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM442733829OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.149.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSupermicro X13DEM1122334455SE +/- 0.16, N = 348.52MIN: 35.66 / MAX: 517.091. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003501OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM250629907OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.043.946.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM31.932.732.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM452771841OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSupermicro X13DEM120240360480600SE +/- 1.83, N = 3576.271. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSupermicro X13DEM510152025SE +/- 0.08, N = 320.83MIN: 14.16 / MAX: 170.681. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003506OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM221631914OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.043.946.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM478776811OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.950.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSupermicro X13DEM12002400360048006000SE +/- 19.42, N = 35368.251. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSupermicro X13DEM0.7741.5482.3223.0963.87SE +/- 0.01, N = 33.44MIN: 2.52 / MAX: 74.081. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003504OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM258636911OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.346.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM31.932.232.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM487778845OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.850.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSupermicro X13DEM7K14K21K28K35KSE +/- 84.25, N = 331567.431. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSupermicro X13DEM246810SE +/- 0.01, N = 36.68MIN: 4.5 / MAX: 67.751. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003506OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM257635914OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.044.646.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM511781846OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.649.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSupermicro X13DEM4K8K12K16K20KSE +/- 31.76, N = 316412.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSupermicro X13DEM0.29250.5850.87751.171.4625SE +/- 0.00, N = 31.3MIN: 0.97 / MAX: 37.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003506OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM246639900OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.846.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM462781861OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.047.449.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSupermicro X13DEM15K30K45K60K75KSE +/- 340.16, N = 370078.521. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSupermicro X13DEM3691215SE +/- 0.03, N = 39.84MIN: 7.22 / MAX: 92.251. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
MinAvgMaxSupermicro X13DEM350035003501OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM231637907OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.044.646.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM468779822OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.649.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3System Temperature Monitor1428425670

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSupermicro X13DEM6001200180024003000SE +/- 9.32, N = 32838.231. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetSupermicro X13DEM306090120150SE +/- 0.82, N = 3150.72
MinAvgMaxSupermicro X13DEM255032893510OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM243605915OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.042.745.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM486748810OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM41.045.748.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetSupermicro X13DEM140280420560700SE +/- 6.07, N = 3630.93
MinAvgMaxSupermicro X13DEM255734723508OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM239609901OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.041.745.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM480747813OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.044.948.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

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 3D - Data Type: u8s8f32 - Engine: CPUSupermicro X13DEM1.33962.67924.01885.35846.698SE +/- 0.04672, N = 105.95375MIN: 3.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM260028923511OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM2265531074OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.042.446.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM462697846OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.045.348.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetSupermicro X13DEM306090120150SE +/- 0.92, N = 3131.07
MinAvgMaxSupermicro X13DEM260034873512OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM237593862OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.042.345.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM468724797OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.044.947.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 224 - Buffer Length: 256 - Filter Length: 512Supermicro X13DEM200M400M600M800M1000MSE +/- 15473310.35, N = 310891000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM221327573501OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM233572919OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.043.546.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM477750840OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.349.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512Supermicro X13DEM200M400M600M800M1000MSE +/- 8036616.89, N = 39602633331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM350035003507OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM257630886OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.043.846.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM471761829OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.046.749.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 512Supermicro X13DEM150M300M450M600M750MSE +/- 5500937.29, N = 36915666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM350035003501OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM244609904OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.045.248.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM491754855OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 224 - Buffer Length: 256 - Filter Length: 32Supermicro X13DEM900M1800M2700M3600M4500MSE +/- 13020880.67, N = 341980000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM210028223501OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM216579896OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.246.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1224364860
MinAvgMaxSupermicro X13DEM31.932.632.9OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM475753805OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 32Supermicro X13DEM700M1400M2100M2800M3500MSE +/- 8783001.26, N = 330397666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM350035003507OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM253625892OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.045.147.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM493766852OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.047.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1428425670

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 57Supermicro X13DEM400M800M1200M1600M2000MSE +/- 14563233.77, N = 320033333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorSupermicro X13DEM80016002400320040003500
MinAvgMaxSupermicro X13DEM223607860OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.046.150.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM476751805OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.048.651.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1530456075

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32Supermicro X13DEM400M800M1200M1600M2000MSE +/- 5994534.55, N = 319384666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxSupermicro X13DEM350035003501OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM236609882OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.044.448.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM438748837OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.048.551.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 1.6System Temperature Monitor1530456075

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareSupermicro X13DEM3691215SE +/- 0.05, N = 310.491. (CXX) g++ options: -O3
MinAvgMaxSupermicro X13DEM190034463509OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2023CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM250603909OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.043.346.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2023CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2023Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM491753835OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.046.250.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2023System Temperature Monitor1428425670

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeSupermicro X13DEM102030405041.641. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxSupermicro X13DEM350035003501OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 10CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM253628914OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.043.947.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10CPU Temperature Monitor1428425670
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM504776820OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM38.046.849.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10System Temperature Monitor1428425670

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeSupermicro X13DEM91827364539.641. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

X Y Z: 192 192 192 - RT: 1800

Supermicro X13DEM: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetSupermicro X13DEM100200300400500SE +/- 3.09, N = 3452.07
MinAvgMaxSupermicro X13DEM260033523505OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM244573857OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.040.143.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM481704797OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.043.747.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1428425670

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetSupermicro X13DEM50100150200250SE +/- 1.79, N = 5229.02
MinAvgMaxSupermicro X13DEM260033963507OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM242539877OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.039.944.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM475671795OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.043.046.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1224364860

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetSupermicro X13DEM80160240320400SE +/- 2.71, N = 4346.80
MinAvgMaxSupermicro X13DEM260033723510OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM248550892OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.040.344.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12Drive Temperature (nvme0n1) MonitorSupermicro X13DEM71421283531.85
MinAvgMaxSupermicro X13DEM472676787OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.043.546.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12System Temperature Monitor1224364860

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 3D - Data Type: bf16bf16bf16 - Engine: CPUSupermicro X13DEM20406080100SE +/- 0.73, N = 598.33MIN: 85.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM260031203508OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM223563939OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.041.345.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM454698855OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.044.747.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUSupermicro X13DEM0.89271.78542.67813.57084.4635SE +/- 0.04141, N = 153.96737MIN: 2.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM250631013509OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM225479818OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.039.743.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM451628840OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.042.245.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1224364860

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUSupermicro X13DEM0.1430.2860.4290.5720.715SE +/- 0.014173, N = 150.635391MIN: 0.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM250232043510OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM233469823OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.039.042.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM466615805OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM40.042.846.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1224364860

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUSupermicro X13DEM246810SE +/- 0.02874, N = 76.91582MIN: 5.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM254431243505OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM228493907OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.040.545.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM456654854OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM41.044.150.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1428425670

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUSupermicro X13DEM0.89841.79682.69523.59364.492SE +/- 0.03033, N = 73.99277MIN: 3.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMaxSupermicro X13DEM202730223508OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM246490783OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM36.039.443.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM464645835OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.042.346.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1System Temperature Monitor1224364860

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128Supermicro X13DEM20406080100SE +/- 2.99, N = 1583.601. (CXX) g++ options: -O3
MinAvgMaxSupermicro X13DEM350035013508OpenBenchmarking.orgMegahertz, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM237438714OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM34.036.342.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM447541722OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM38.040.344.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Temperature Monitor1224364860

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128Supermicro X13DEM306090120150SE +/- 4.64, N = 15125.231. (CXX) g++ options: -O3
MinAvgMaxSupermicro X13DEM260034673510OpenBenchmarking.orgMegahertz, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM247436708OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.036.342.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324033.85
MinAvgMaxSupermicro X13DEM456542682OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM38.040.145.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Temperature Monitor1224364860

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128Supermicro X13DEM306090120150SE +/- 3.69, N = 15131.721. (CXX) g++ options: -O3
MinAvgMaxSupermicro X13DEM350035013508OpenBenchmarking.orgMegahertz, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM178424710OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM34.036.342.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Temperature Monitor1224364860
OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Drive Temperature (nvme0n1) MonitorSupermicro X13DEM81624324032.85
MinAvgMaxSupermicro X13DEM394541720OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM37.039.745.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Temperature Monitor1224364860

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128Supermicro X13DEM4080120160200SE +/- 4.09, N = 15178.191. (CXX) g++ options: -O3
MinAvgMaxSupermicro X13DEM350035013509OpenBenchmarking.orgMegahertz, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxSupermicro X13DEM246437710OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM35.036.339.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Temperature Monitor1122334455
MinAvgMaxSupermicro X13DEM32.933.733.9OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Drive Temperature (nvme0n1) Monitor1020304050
MinAvgMaxSupermicro X13DEM464551700OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Power Consumption Monitor2004006008001000
MinAvgMaxSupermicro X13DEM39.040.343.0OpenBenchmarking.orgCelsius, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3System Temperature Monitor1224364860

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringSupermicro X13DEM1122334455Min: 34 / Avg: 48.27 / Max: 55

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringSupermicro X13DEM160320480640800Min: 286 / Avg: 773.3 / Max: 897

Drive Temperature (nvme0n1) Monitor

OpenBenchmarking.orgCelsiusDrive Temperature (nvme0n1) MonitorPhoronix Test Suite System MonitoringSupermicro X13DEM714212835Min: 28.85 / Avg: 32.09 / Max: 33.85

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringSupermicro X13DEM1020304050Min: 31 / Avg: 41.84 / Max: 51

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringSupermicro X13DEM2004006008001000Min: 147.94 / Avg: 601.43 / Max: 1087.23

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringSupermicro X13DEM8001600240032004000Min: 926 / Avg: 2407.09 / Max: 4668

85 Results Shown

High Performance Conjugate Gradient:
  160 160 160 - 1800
  144 144 144 - 1800
  160 160 160 - 60
  104 104 104 - 1800
TensorFlow
High Performance Conjugate Gradient
TensorFlow
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
7-Zip Compression:
  Decompression Rating
  Compression Rating
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
TensorFlow:
  CPU - 512 - GoogLeNet
  CPU - 16 - ResNet-50
Liquid-DSP
TensorFlow
High Performance Conjugate Gradient
TensorFlow
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
Liquid-DSP
TensorFlow
oneDNN:
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
TensorFlow
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
TensorFlow
oneDNN
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
oneDNN
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
TensorFlow:
  CPU - 64 - GoogLeNet
  CPU - 256 - AlexNet
oneDNN
TensorFlow
Liquid-DSP:
  224 - 256 - 512
  128 - 256 - 512
  64 - 256 - 512
  224 - 256 - 32
  128 - 256 - 32
  64 - 256 - 57
  64 - 256 - 32
GROMACS
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
TensorFlow:
  CPU - 64 - AlexNet
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
oneDNN:
  IP Shapes 3D - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - double - 128
  r2c - FFTW - double - 128
  c2c - FFTW - float - 128
  r2c - FFTW - float - 128
System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Celsius
    Celsius
    Watts
    Megahertz

Supermicro X13DEM

Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb

OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/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
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c0001d1
Python Notes: Python 3.11.2
Security Notes: 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

Testing initiated at 8 July 2023 19:26 by user phoronix.