Sharkbench

Benchmarking programming languages and web frameworks

Python Computation Benchmark

About Python

Paradigm

Object-Oriented, Imperative, Functional

Execution

Interpreted

Typing

Dynamic

Null Safety

NO

Memory Management

Garbage Collection

Python is a high-level, interpreted programming language known for its simplicity and readability with an emphasis on code clarity. It has an extensive standard library and large ecosystem of third-party packages for various domains. Python is used in web development, data analysis, artificial intelligence, and scientific computing, and is popular in educational settings.

Benchmarks

This benchmark tests how fast a programming language can perform mathematical computations without any I/O or memory allocation. We are using the Leibniz formula to approximate the value of PI.
Please note that the memory usage also includes the memory used by the HTTP server. Ideally, the most lightweight HTTP server should be used to measure the raw memory usage of the runtime.

OS: Linux/DockerCPU: Ryzen 7 7800X3DLast Updated: 2025-05-04

Language	Time (lower is better)	Memory (lower is better)
Python (PyPy v3.11)	4.49 s	63.8 MB
Python (PyPy v3.10)	4.47 s	64.9 MB
Python (PyPy v3.9)	4.54 s	63.8 MB
Python (PyPy v3.8)	4.52 s	42.0 MB
Python (PyPy v3.7)	2.98 s	41.5 MB
Python (PyPy v3.6)	2.98 s	38.4 MB
Python v3.13	127.69 s	16.5 MB
Python v3.12	130.14 s	13.6 MB
Python v3.11	101.47 s	13.3 MB
Python v3.10	113.86 s	11.3 MB
Python v3.9	136.34 s	10.9 MB
Python v3.8	143.21 s	11.0 MB
Python v3.7	123.97 s	10.8 MB
Python v3.6	116.89 s	11.3 MB

Popular languages

How does Python compare to other languages?

Language	Time (lower is better, custom scale)	Memory (lower is better)
Java (Temurin)	1.00 s	22.9 MB
Rust	1.02 s	584.0 KB
Go	1.13 s	2.1 MB
C (GCC)	1.39 s	448.0 KB
C# (.NET)	1.41 s	9.7 MB
JavaScript (Node.js)	3.27 s	13.4 MB
Python (PyPy)	4.49 s	63.8 MB
Ruby	83.69 s	6.8 MB
Python	127.69 s	16.5 MB