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Runtimes & Languages

Python Execution Speed: CPython vs PyPy vs Mojo

Performance benchmarks comparing CPython 3.12, PyPy JIT, and the new Mojo language on computational physics workloads.

Test Environment

CPUAMD Ryzen 9 7950X
RAM64GB DDR5
OSUbuntu 22.04 LTS
ToolCustom Python Runner

Metrics Comparison

Mandelbrot Set

Unit: Seconds
Mojo
0.04
PyPy
1.2
CPython 3.12
4.8

Detailed Analysis

Mojo dominates mathematical operations by utilizing MLIR, while PyPy offers an easy drop-in 4x speedup over standard CPython.

Mojo compiles directly to machine code using LLVM and leverages SIMD heavily without manual annotation.

Bytecode Execution

CPython interprets bytecode

Bottleneck: Global Interpreter Lock (GIL) and lack of JIT.

Architectural Recommendations

  • Use PyPy for existing long-running Python code
  • Consider Mojo for greenfield AI/Math tools

Frequently Asked Questions

Is Mojo 100% Python compatible?

Not yet. It aims to be a superset but lacks full ecosystem support currently.