# Performance

Currently, pkpy is as fast as cpython 3.9. Performance results for cpython 3.9 are applicable to for pkpy.

Here is a benchmark result of `v1.2.6`. Files are located in `benchmarks/`.

## win32 64-bit cpy39

    CPython: 3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)]
    System: 64-bit
    Testing directory: benchmarks/
    > benchmarks/fib.py
      cpython:  0.986091s (100%)
      pocketpy: 0.985427s (99.93%)
    > benchmarks/loop_0.py
      cpython:  0.515685s (100%)
      pocketpy: 0.344132s (66.73%)
    > benchmarks/loop_1.py
      cpython:  0.938407s (100%)
      pocketpy: 0.595634s (63.47%)
    > benchmarks/loop_2.py
      cpython:  1.188671s (100%)
      pocketpy: 0.735259s (61.86%)
    > benchmarks/loop_3.py
      cpython:  4.957218s (100%)
      pocketpy: 2.314210s (46.68%)
    > benchmarks/primes.py
      cpython:  9.146332s (100%)
      pocketpy: 8.507227s (93.01%)
    > benchmarks/recursive.py
      cpython:  0.044789s (100%)
      pocketpy: 0.031252s (69.78%)
    > benchmarks/simple.py
      cpython:  0.516624s (100%)
      pocketpy: 0.453159s (87.72%)
    > benchmarks/sort.py
      cpython:  0.929597s (100%)
      pocketpy: 0.406802s (43.76%)
    > benchmarks/sum.py
      cpython:  0.047151s (100%)
      pocketpy: 0.031266s (66.31%)
    ALL TESTS PASSED

## linux 64-bit cpy38

    CPython: 3.8.10 (default, May 26 2023, 14:05:08) [GCC 9.4.0]
    System: 64-bit
    Testing directory: benchmarks/
    > benchmarks/fib.py
      cpython:  0.739547s (100%)
      pocketpy: 0.613591s (82.97%)
    > benchmarks/loop_0.py
      cpython:  0.356003s (100%)
      pocketpy: 0.224396s (63.03%)
    > benchmarks/loop_1.py
      cpython:  0.661924s (100%)
      pocketpy: 0.446577s (67.47%)
    > benchmarks/loop_2.py
      cpython:  0.937243s (100%)
      pocketpy: 0.514324s (54.88%)
    > benchmarks/loop_3.py
      cpython:  3.671752s (100%)
      pocketpy: 1.876151s (51.10%)
    > benchmarks/primes.py
      cpython:  7.293947s (100%)
      pocketpy: 5.427518s (74.41%)
    > benchmarks/recursive.py
      cpython:  0.021559s (100%)
      pocketpy: 0.010227s (47.44%)
    > benchmarks/simple.py
      cpython:  0.408654s (100%)
      pocketpy: 0.265084s (64.87%)
    > benchmarks/sort.py
      cpython:  0.372539s (100%)
      pocketpy: 0.243566s (65.38%)
    > benchmarks/sum.py
      cpython:  0.021242s (100%)
      pocketpy: 0.010113s (47.61%)
    ALL TESTS PASSED

## linux 32-bit cpy39

    CPython: 3.9.18 (main, Aug 26 2023, 11:50:23) [GCC 10.3.1 20211027]
    System: 32-bit
    Testing directory: benchmarks/
    > benchmarks/fib.py
      cpython:  1.967908s (100%)
      pocketpy: 0.960947s (48.83%)
    > benchmarks/loop_0.py
      cpython:  1.063461s (100%)
      pocketpy: 0.396626s (37.30%)
    > benchmarks/loop_1.py
      cpython:  1.563821s (100%)
      pocketpy: 0.639663s (40.90%)
    > benchmarks/loop_2.py
      cpython:  2.626848s (100%)
      pocketpy: 0.757444s (28.83%)
    > benchmarks/loop_3.py
      cpython:  13.428345s (100%)
      pocketpy: 2.852351s (21.24%)
    > benchmarks/primes.py
      cpython:  18.174904s (100%)
      pocketpy: 8.423515s (46.35%)
    > benchmarks/recursive.py
      cpython:  0.025673s (100%)
      pocketpy: 0.012470s (48.57%)
    > benchmarks/simple.py
      cpython:  1.042090s (100%)
      pocketpy: 0.480013s (46.06%)
    > benchmarks/sort.py
      cpython:  0.989279s (100%)
      pocketpy: 0.379171s (38.33%)
    > benchmarks/sum.py
      cpython:  0.024227s (100%)
      pocketpy: 0.012477s (51.50%)
    ALL TESTS PASSED

See actions/runs.

## Primes benchmarks

These are the results of the primes benchmark on Intel i5-12400F, WSL (Ubuntu 20.04 LTS).

name | version | time | file
--- | --- | --- | ---
c++ | gnu++11 | `0.104s ■□□□□□□□□□□□□□□□` | benchmarks/primes.cpp
lua | 5.3.3 | `1.576s ■■■■■■■■■□□□□□□□` | benchmarks/primes.lua
pkpy | 1.2.7 | `2.385s ■■■■■■■■■■■■■□□□` | benchmarks/primes.py
cpython | 3.8.10 | `2.871s ■■■■■■■■■■■■■■■■` | benchmarks/primes.py

    $ time lua benchmarks/primes.lua

    real    0m1.576s
    user    0m1.514s
    sys     0m0.060s
    $ time ./main benchmarks/primes.py

    real    0m2.385s
    user    0m2.247s
    sys     0m0.100s
    $ time python benchmarks/primes.py

    real    0m2.871s
    user    0m2.798s
    sys     0m0.060s