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Speed test for Python 3.11

I created a simple speed test to compare Python 3.11 to 3.10 (and 3.9 .. 3.5). The tests use a Monte Carlo Pi estimation. This is probably not the best workload for a full Python stress test.

Dennis Bakhuis - 8th September 2022

Blog post

This is the code which belongs to a blog post you can find here.

Additional contributions:

Calculated results by continuous integration

You can see the latest results in Github Actions for different languages as well as different versions of Python. The results are collected in a JSON artifact. Below is an example output:

{
    "Julia": 0.0448,
    "Go": 0.0774,
    "Numba": 0.1626,
    "Rust": 0.1755,
    "Cpp": 0.2071,
    "Cython": 0.2703,
    "C": 0.4208,
    "Python_3.11": 12.1766,
    "Python_3.9": 14.1459,
    "Python_3.10": 14.3943,
    "Python_3.7": 16.0291,
    "Python_3.8": 18.6563
}

Run original test using Docker

Requirements

  • Python environment to run the tester
  • Docker to download each Python Env.

Usage:

cd pi_estimates/Python
python run_main_test.py

Original results

The new Python 3.11 took 6.4605 seconds per run.

Python 3.5 took 11.3014 seconds per run.(Python 3.11 is 74.9% faster)
Python 3.6 took 11.4332 seconds per run.(Python 3.11 is 77.0% faster)
Python 3.7 took 10.7465 seconds per run.(Python 3.11 is 66.3% faster)
Python 3.8 took 10.6904 seconds per run.(Python 3.11 is 65.5% faster)
Python 3.9 took 10.9537 seconds per run.(Python 3.11 is 69.5% faster)
Python 3.10 took 8.8467 seconds per run.(Python 3.11 is 36.9% faster)

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Simple speed tests for Python 3.11

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