Sharkbench

Benchmarking programming languages and web frameworks

Julia Computation Benchmark

About Julia

Paradigm

Functional, Object-Oriented, Imperative

Execution

JIT, AOT

Typing

Dynamic

Null Safety

NO

Memory Management

Garbage Collection

Julia is a high-level, high-performance dynamic programming language designed to be fast while remaining expressive and easy to use. It has execution speeds comparable to C and is particularly well-suited for scientific computing and data analysis. Julia is popular among researchers and data scientists due to its rich ecosystem of specialized packages.

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
Memory
1.00 s
159.2 MB

Popular languages

How does Julia compare to other languages?
Language
Time
Memory
1.00 s
159.2 MB
1.00 s
22.9 MB
1.02 s
584.0 KB
1.13 s
2.1 MB
1.39 s
448.0 KB
1.41 s
9.7 MB
3.27 s
13.4 MB
83.69 s
6.8 MB
127.69 s
16.5 MB

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