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: SecondsMojo
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.