TristanBilot / mlx-benchmark
Benchmark of Apple MLX operations on all Apple Silicon chips (GPU, CPU) + MPS and CUDA.
Why this job: says: benchmark; topics: benchmark
What it does
This repo aims to benchmark Apple's MLX operations and layers, on all Apple Silicon chips, along with some GPUs.
Get started
CONDA_SUBDIR=osx-arm64 conda create -n mlx_benchmark python=3.10 numpy pytorch torchvision scipy requests -c conda-forge
pip install -r requirements.txt- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 241
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.1
- Released 2 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 62% closed
- 3 still open
- Pull requests
- 38 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- apple-silicon
- benchmark
- deep-learning
- machine-learning
- mlx
- pytorch
Project record
- JobEvals and observability
- StatusListed
- Commits142
- Forks33
- Watching6
- Stars in 28 days+2
- CreatedDec 21, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026