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Python Benchmark: multi-thread vs multi-process

Project description


A benchmark on speed evaluation between multi-thread and multi-process in Python


sudo pip3 install python_benchmark_thread_vs_process

Note: this package only supports Python 3.

Install package and run test in one command:

sudo pip3 install python_benchmark_thread_vs_process && python_benchmark_thread_vs_process


Run benchmarking with the following command:


Note: It takes up to 15 minutes to finish the test. Please be patient!

Benchmarking Results

Try to keep your CPUs usage free as much as possible before benchmarking.

For latest benchmarking result, please checkout @

Num CPUs CPU Model Current CPU Freq (MHz) Multi-Thread Time (s) Multi-Process Time (s) Total Test Operation Contributor
1 Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz 2500 11.7581 12.0673 100 @minhng92
4 ARM Cortex A53 1512 289.2922 64.5466 400 @johnhlaj
4 Intel(R) Core(TM) i5-2500 CPU @ 3.30GHz 2474 55.3840 8.8589 400 @minhng92
4 Intel(R) Core(TM) i7-6500U CPU @ 2.50GHz 2683 20.9098 10.9195 400 @minhng92
16 Intel(R) Xeon(R) Silver 4208 CPU @ 2.10GHz 822 106.3637 12.3538 1600 @minhng92
16 Intel(R) Xeon(R) CPU E5-2640 v3 @ 2.60GHz 2597 98.6584 7.1033 1600 @minhng92
24 Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz 1331 372.3926 18.5923 2400 @minhng92
32 Intel(R) Xeon(R) Silver 4108 CPU @ 1.80GHz 809 478.8115 15.0538 3200 @minhng92
72 Intel(R) Xeon(R) Gold 5220S CPU @ 2.70GHz 1016 550.4936 11.6759 7200 @minhng92
72 Intel(R) Xeon(R) Gold 6240 CPU @ 2.60GHz 1003 545.8076 10.6285 7200 @minhng92



To contribute to our benchmark table, please follow these steps:

  • Step 1: Install package: pip install python-benchmark-thread-vs-process
  • Step 2: Run benchmarking on your machine / server with the command: python_benchmark_thread_vs_process
  • Step 3: If your system information has not been included in the benchmarking results, please create a new issue ticket (with enhancement label) and submit your benchmarking result. Your submission is welcome!
  • Step 4: We'll review and update the benchmarking results.

Code development

  • Step 1. Fork on master branch.
  • Step 2. Install pre-commit on the local dev environment.
pip install pre-commit
pre-commit install

  • Step 3. Write unit-test (if any).
  • Step 4. Write code to pass the tests.
  • Step 5. Make sure that the new code passes all the pre-commmit conditions.

  • Step 6. Create pull request.

Project details

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python_benchmark_thread_vs_process-0.1.5.tar.gz (11.6 kB view hashes)

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