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.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark pyhpc.

Project Site

github.com

Test Created

22 October 2021

Last Updated

28 October 2021

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

40 Seconds

Average Run Time

49 Seconds

Test Dependencies

Python

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page ViewsOpenBenchmarking.orgEventsPyHPC Benchmarks Popularity Statisticspts/pyhpc2021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.102022.112022.122023.012023.022023.032023.042023.052023.062023.072023.082023.092023.102023.112023.122024.012024.022024.032024.042024.052024.062024.072024.082024.092024.102024.112024.126K12K18K24K30K
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.
** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data updated weekly as of 21 December 2024.
JAX14.9%Numba17.2%Aesara17.1%TensorFlow7.4%PyTorch15.8%Numpy27.5%Backend Option PopularityOpenBenchmarking.org
104857620.0%1638416.3%26214418.0%6553617.3%419430428.4%Project Size Option PopularityOpenBenchmarking.org
Isoneutral Mixing47.5%Equation of State52.5%Benchmark Option PopularityOpenBenchmarking.org

Revision History

pts/pyhpc-3.0.0   [View Source]   Thu, 28 Oct 2021 15:13:30 GMT
Update against upstream PyHPC 3.0.

pts/pyhpc-1.0.0   [View Source]   Fri, 22 Oct 2021 15:05:19 GMT
Initial commit of PyHPC-Benchmarks.

Suites Using This Test

HPC - High Performance Computing

Python


Performance Metrics

Analyze Test Configuration:

PyHPC Benchmarks 3.0

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

OpenBenchmarking.org metrics for this test profile configuration based on 173 public results since 28 October 2021 with the latest data as of 23 March 2024.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Detailed Performance Overview
OpenBenchmarking.orgDistribution Of Public Results - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State173 Results Range From 0 To 1 Seconds0.0830.1660.2490.3320.4150.4980.5810.6640.7470.830.9130.9964080120160200

Based on OpenBenchmarking.org data, the selected test / test configuration (PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State) has an average run-time of 2 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkDevice: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of StateRun-Time246810Min: 1 / Avg: 1.31 / Max: 5

Tested CPU Architectures

This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
ARMv8 64-bit
arm64
Apple M1