CPU benchmark by calculating Pi, powered by Python3

Related tags

Hardware cpu-benchmark
Overview

cpu-benchmark

Info:

  • CPU benchmark by calculating Pi, powered by Python 3.

Algorithm

  • The program calculates pi with an accuracy of 10,000 decimal places. The time spent on the calculation is counted as the test result. The result is determined by the average of 10 attempts. Lower is Better.

Supported architectures:

  • x86 (AMD, Intel)
  • ARM (Apple Silicon, Raspberry Pi, Qualcomm and etc)
  • VLIW* (МЦСТ Эльбрус)
  • RISC-V*

How to install

Install Python 3 from official website (Current)

https://www.python.org/downloads/

Install cpuinfo

pip install py-cpuinfo

Benchmark

python cpu-benchmark.py

Benchmark Results

CPU Arch OS Perfomance (Avg.) Verified
Apple M1 ARM macOS 11.5.2 19.534s ✅
Intel Core i3-8100 x86 Windows 10 20H2 30.636s ✅
Intel Xeon Gold 6125 x86 Linux (Hyper-V) 30.781s ✅
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Comments
  • Use all existing cores on CPU benchmark

    Use all existing cores on CPU benchmark

    Instead of taking benefit of all existing cores, the program only uses a single randomly selected core for all calculation. Newest 12-th Gen Intel CPU's have P-cores and E-cores respectively, and these cores does function in very different ways. Forcing in only one core, would make the benchmark results unreliable.

    Image

    image image

    Another thing I noticed that this problem only in Intel CPU's which have these core division. The only problem is that, certain times running a process on CPU parallel may not give much efficiency, and at the very first this is a CPU benchmark. At least that what I've seen here

    opened by rilysh 1
  • Idea: Better timing details

    Idea: Better timing details

    Cool tool. THX. I propose (PR to come in a few seconds) to better use time.perf_counter instead of time.time. That brings the following benefits:

    • time.perf_counter is monitonic (not influenced by DST or leap seconds)
    • time.perf_counter has a better resolution

    Best regards

    Bastian

    opened by Barry1 0
  • Comparison Windows / WSL

    Comparison Windows / WSL

    I tried this out on my computer running Windows and on WSL2 using Ubuntu, both on Python 3.10

    AMD Ryzen 9 3900X 12-Core Processor
Windows: 38.707s
WSL2: 24.703s

    Probably due to different BLAS libraries being used in both OSs. This will bias the results either way I guess, and changing ATLAS/BLAS will change the scores on the same CPU

    opened by skjerns 0
Owner
Alex Dedyura
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Alex Dedyura
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