pts-hpc

Apple M2 Pro testing with a Apple Mac mini and Apple M2 Pro on macOS 13.5 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2312093-REIN-PTSHPC077
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pts-hpc
December 09 2023
  18 Hours, 30 Minutes
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pts-hpcOpenBenchmarking.orgPhoronix Test SuiteApple M2 Pro (10 Cores)Apple Mac mini16GB461GBApple M2 ProApple M2 PromacOS 13.522.6.0 (arm64)GCC 14.0.3 + Clang 17.0.6 + LLVM 17.0.6 + Xcode 14.3.1APFSxProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelCompilerFile-SystemScreen ResolutionPts-hpc BenchmarksSystem Logs- LDFLAGS=-L/opt/homebrew/opt/llvm/lib CPPFLAGS=-I/opt/homebrew/opt/llvm/include - Python 3.11.5

pts-hpcnamd: ATPase Simulation - 327,506 Atomsmafft: Multiple Sequence Alignment - LSU RNAonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetpyhpc: CPU - TensorFlow - 4194304 - Isoneutral Mixingpts-hpc2.367068.166198.544127.933266.297341.080349.577888.776348.905771.373612.431375.87021603113280621546113281921542513281511.5231.8253.19925.0795.5273.6294.66435.27718.074.643.772.694.737.590.8822.1166.2514.8516.7540.6226.7713.806.441187.732.1118.014.593.732.664.697.510.8721.9165.6014.7216.5940.2726.7113.696.381187.422.11OpenBenchmarking.org

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomspts-hpc0.53351.0671.60052.1342.6675SE +/- 0.00197, N = 32.37121
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomspts-hpc246810Min: 2.37 / Avg: 2.37 / Max: 2.37

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status. E: neat: line 3: /bin/neat: No such file or directory

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status.

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status.

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNApts-hpc246810SE +/- 0.091, N = 38.3151. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNApts-hpc3691215Min: 8.19 / Avg: 8.31 / Max: 8.491. (CC) gcc options: -std=c99 -O3 -lm -lpthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

Model: 20k Atoms

pts-hpc: The test quit with a non-zero exit status.

Model: Rhodopsin Protein

pts-hpc: The test quit with a non-zero exit status.

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status. E: mt-dgemm: line 5: ./mtdgemm: No such file or directory

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status. E: himeno: line 2: ./himenobmtxpa: 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 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUpts-hpc4080120160200SE +/- 0.02, N = 3198.54MIN: 196.751. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUpts-hpc306090120150SE +/- 0.15, N = 3127.93MIN: 127.071. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUpts-hpc60120180240300SE +/- 0.07, N = 3266.30MIN: 263.271. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUpts-hpc70140210280350SE +/- 0.55, N = 3341.08MIN: 338.541. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

pts-hpc: The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

pts-hpc: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUpts-hpc80160240320400SE +/- 0.66, N = 3349.58MIN: 344.761. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUpts-hpc2004006008001000SE +/- 0.33, N = 3888.78MIN: 885.431. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUpts-hpc80160240320400SE +/- 0.07, N = 3348.91MIN: 347.121. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUpts-hpc170340510680850SE +/- 0.26, N = 3771.37MIN: 7671. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUpts-hpc130260390520650SE +/- 0.99, N = 3612.43MIN: 601.381. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUpts-hpc80160240320400SE +/- 0.24, N = 3375.87MIN: 374.291. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUpts-hpc50K100K150K200K250KSE +/- 134.13, N = 3216031MIN: 2156641. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUpts-hpc30K60K90K120K150KSE +/- 36.42, N = 3132806MIN: 1326901. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUpts-hpc50K100K150K200K250KSE +/- 20.22, N = 3215461MIN: 2153231. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

pts-hpc: The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

pts-hpc: The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

pts-hpc: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUpts-hpc30K60K90K120K150KSE +/- 17.95, N = 3132819MIN: 1327101. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUpts-hpc50K100K150K200K250KSE +/- 24.27, N = 3215425MIN: 2152541. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUpts-hpc30K60K90K120K150KSE +/- 13.69, N = 3132815MIN: 1327191. (CXX) g++ options: -O3 -march=native -mcpu=native -fPIC -arch -isysroot

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test run did not produce a result.

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

Acceleration: CPU

pts-hpc: The test quit with a non-zero exit status.

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.

Implementation: MPI CPU - Input: water_GMX50_bare

pts-hpc: The test quit with a non-zero exit status.

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status. E: octave-benchmark: line 8: octave-cli: command not found

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetpts-hpc3691215SE +/- 0.13, N = 411.52MIN: 9.02 / MAX: 16.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3pts-hpc0.41060.82121.23181.64242.053SE +/- 0.013, N = 41.825MIN: 1.48 / MAX: 4.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1pts-hpc0.71981.43962.15942.87923.599SE +/- 0.048, N = 43.199MIN: 2.25 / MAX: 4.681. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50pts-hpc612182430SE +/- 0.14, N = 425.08MIN: 20.97 / MAX: 29.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0pts-hpc1.24362.48723.73084.97446.218SE +/- 0.049, N = 45.527MIN: 4.29 / MAX: 7.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224pts-hpc0.81651.6332.44953.2664.0825SE +/- 0.021, N = 43.629MIN: 2.95 / MAX: 5.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0pts-hpc1.04942.09883.14824.19765.247SE +/- 0.066, N = 44.664MIN: 3.82 / MAX: 6.81. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3pts-hpc816243240SE +/- 0.77, N = 435.28MIN: 29.23 / MAX: 39.491. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetpts-hpc48121620SE +/- 0.04, N = 318.07MIN: 17.9 / MAX: 18.91. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2pts-hpc1.0442.0883.1324.1765.22SE +/- 0.04, N = 34.64MIN: 4.57 / MAX: 5.171. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3pts-hpc0.84831.69662.54493.39324.2415SE +/- 0.04, N = 33.77MIN: 3.72 / MAX: 4.121. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2pts-hpc0.60531.21061.81592.42123.0265SE +/- 0.02, N = 32.69MIN: 2.65 / MAX: 3.211. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetpts-hpc1.06432.12863.19294.25725.3215SE +/- 0.04, N = 34.73MIN: 4.67 / MAX: 5.21. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0pts-hpc246810SE +/- 0.07, N = 37.59MIN: 7.48 / MAX: 8.331. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefacepts-hpc0.1980.3960.5940.7920.99SE +/- 0.01, N = 30.88MIN: 0.86 / MAX: 1.011. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetpts-hpc510152025SE +/- 0.18, N = 322.11MIN: 21.7 / MAX: 23.381. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16pts-hpc1530456075SE +/- 0.56, N = 366.25MIN: 64.89 / MAX: 68.21. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18pts-hpc48121620SE +/- 0.14, N = 314.85MIN: 14.54 / MAX: 15.61. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetpts-hpc48121620SE +/- 0.13, N = 316.75MIN: 16.47 / MAX: 17.641. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50pts-hpc918273645SE +/- 0.32, N = 340.62MIN: 39.97 / MAX: 41.551. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinypts-hpc612182430SE +/- 0.04, N = 326.77MIN: 26.45 / MAX: 27.891. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdpts-hpc48121620SE +/- 0.12, N = 313.80MIN: 13.33 / MAX: 14.611. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mpts-hpc246810SE +/- 0.06, N = 36.44MIN: 6.35 / MAX: 7.031. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerpts-hpc30060090012001500SE +/- 0.19, N = 31187.73MIN: 1186.86 / MAX: 1190.111. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetpts-hpc0.47480.94961.42441.89922.374SE +/- 0.00, N = 32.11MIN: 2.1 / MAX: 2.341. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetpts-hpc48121620SE +/- 0.01, N = 318.01MIN: 17.89 / MAX: 19.771. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2pts-hpc1.03282.06563.09844.13125.164SE +/- 0.00, N = 34.59MIN: 4.57 / MAX: 5.111. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3pts-hpc0.83931.67862.51793.35724.1965SE +/- 0.00, N = 33.73MIN: 3.71 / MAX: 4.091. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2pts-hpc0.59851.1971.79552.3942.9925SE +/- 0.00, N = 32.66MIN: 2.65 / MAX: 2.961. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetpts-hpc1.05532.11063.16594.22125.2765SE +/- 0.00, N = 34.69MIN: 4.67 / MAX: 5.071. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0pts-hpc246810SE +/- 0.00, N = 37.51MIN: 7.48 / MAX: 8.211. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefacepts-hpc0.19580.39160.58740.78320.979SE +/- 0.00, N = 30.87MIN: 0.86 / MAX: 0.921. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetpts-hpc510152025SE +/- 0.03, N = 321.91MIN: 21.46 / MAX: 22.991. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16pts-hpc1530456075SE +/- 0.04, N = 365.60MIN: 64.87 / MAX: 66.511. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18pts-hpc48121620SE +/- 0.01, N = 314.72MIN: 14.36 / MAX: 15.981. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetpts-hpc48121620SE +/- 0.02, N = 316.59MIN: 16.45 / MAX: 17.391. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50pts-hpc918273645SE +/- 0.02, N = 340.27MIN: 39.89 / MAX: 41.051. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinypts-hpc612182430SE +/- 0.02, N = 326.71MIN: 26.45 / MAX: 28.291. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdpts-hpc48121620SE +/- 0.01, N = 313.69MIN: 13.56 / MAX: 14.551. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mpts-hpc246810SE +/- 0.00, N = 36.38MIN: 6.35 / MAX: 6.971. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerpts-hpc30060090012001500SE +/- 0.23, N = 31187.42MIN: 1186.29 / MAX: 1189.541. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetpts-hpc0.47480.94961.42441.89922.374SE +/- 0.00, N = 32.11MIN: 2.1 / MAX: 2.211. (CXX) g++ options: -O3 -arch -isysroot

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

pts-hpc: The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

pts-hpc: The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Detector: KNN CAD

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Relative Entropy

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Windowed Gaussian

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Earthgecko Skyline

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Bayesian Changepoint

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Contextual Anomaly Detector OSE

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

pts-hpc: The test quit with a non-zero exit status. E: SyntaxError: invalid syntax

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing

pts-hpc: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'click'

60 Results Shown

NAMD
Timed MAFFT Alignment
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet