Benchmarks
Below are results from Codon’s benchmark suite, which compares Python, PyPy, C++, and Codon on a range of tasks and applications.
Benchmarks are run on the following setups:
Apple M1 Max
- 2021 16-inch MacBook Pro, Apple M1 Max, 64GB RAM, macOS Monterey 12.5.1
- Python: 3.10.8
- PyPy: 7.3.9 nightly build 2022-11-02, 106335-024a5669d75d
- Clang: Apple clang version 13.1.6
- Codon: 0.15.0, commit 5480050b0ae3fb39b30e3a71df260ce5e91e5064
Intel® Xeon® Gold
- CentOS Linux 7 (Core), 64 cores, Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz, 754 GB RAM
- GPU: NVIDIA(R) Tesla V100
- Python: 3.8.2
- PyPy: 7.3.9
- Clang: 13.0.1
- Codon: 0.15.0, commit 5480050b0ae3fb39b30e3a71df260ce5e91e5064
SPEEDUPS
RUNTIMES
Speedup over Python
float
go
nbody
chaos
spectral_norm
set_partition
primes
binary_trees
fannkuch
word_count
taq
mandelbrot
Benchmark: float
pyperformance’s float benchmark — performs a series of 3-dimensional vector operations and normalizations.
Speedup over Python
float
go
nbody
chaos
spectral_norm
set_partition
primes
binary_trees
fannkuch
word_count
taq
mandelbrot
Benchmark: float
pyperformance’s float benchmark — performs a series of 3-dimensional vector operations and normalizations.
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