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

Test Created

22 October 2021

Last Updated

28 October 2021

Test Maintainer

Michael Larabel 

Test Type


Average Install Time

2 Minutes, 21 Seconds

Average Run Time

49 Seconds

Test Dependencies



5k+ Downloads

Supported Platforms

Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page ViewsOpenBenchmarking.orgEventsPyHPC Benchmarks Popularity Statisticspts/pyhpc2021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.102022.112022.122023.012023.022023.032023.042023.052023.062023.072023.082023.092023.102023.112023.126K12K18K24K30K
* Uploading of benchmark result data to 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 and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data updated weekly as of 4 December 2023.
JAX15.2%Numba17.4%Aesara17.3%TensorFlow7.6%PyTorch16.0%Numpy26.5%Backend Option
104857620.2%1638416.4%26214418.1%6553617.4%419430427.9%Project Size Option
Isoneutral Mixing47.4%Equation of State52.6%Benchmark Option

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


Performance Metrics

Analyze Test Configuration:

PyHPC Benchmarks 3.0

Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State metrics for this test profile configuration based on 171 public results since 28 October 2021 with the latest data as of 17 February 2023.

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.

OpenBenchmarking.orgDistribution Of Public Results - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State171 Results Range From 0 To 1 Seconds0.0830.1660.2490.3320.4150.4980.5810.6640.7470.830.9130.9964080120160200

Based on 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: 1.33 / Max: 5

Tested CPU Architectures

This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful 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
(Many Processors)
ARMv8 64-bit
Apple M1