Sharkbench

Benchmarking programming languages and web frameworks

Rust Computation Benchmark

About Rust

Paradigm

Imperative, Functional, Concurrent

Execution

Compiled

Typing

Static

Null Safety

YES

Memory Management

Ownership System

Rust is a modern, systems-level programming language focused on safety, speed, and concurrency sponsored by Mozilla Research. It provides memory safety without garbage collection through its unique ownership system with compile-time checks. Rust is designed for creating high-performance applications with strict control over system resources.

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.

OS: LinuxCPU: Intel Core Ultra 5 325Last Updated: 2026-10-14

Language	Time How long does it take to approximate PI? (lower is better)	Memory How much memory (RAM) does the program use? (lower is better)	Build Time Fetching dependencies + compiling, excluding SDK setup (lower is better)
Rust v1.80	1.00 s	2.9 MB	4.12 s
Rust v1.60	1.01 s	2.7 MB	4.01 s
Rust v1.40	1.02 s	2.9 MB	4.00 s

Popular languages

How does Rust compare to other languages?

Language	Time How long does it take to approximate PI? (lower is better, log scale)	Memory How much memory (RAM) does the program use? (lower is better)	Build Time Fetching dependencies + compiling, excluding SDK setup (lower is better)
C (GCC)	1.00 s	2.2 MB	2.13 s
Rust	1.00 s	2.9 MB	4.12 s
Java (Temurin)	1.00 s	65.9 MB	14.84 s
C# (.NET)	1.16 s	34.8 MB	4.49 s
Go	1.36 s	3.8 MB	6.18 s
JavaScript (Node.js)	3.24 s	66.4 MB	1.09 s
Ruby	67.47 s	17.8 MB	1.29 s
Python	99.28 s	11.1 MB	1.28 s