ml-explore / ml-explore/mlx-examples
Speed Benchmarks vs NVidia GPUs
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- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.2k
- PR merge metrics
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Description
Given that this is the only official package endorsed by Apple, would it be possible to post benchmarks against some of the Nvidia GPUs available in the market so that we can understand where Mac M1/M2/M3 Max->Ultra system stand in terms of raw speed with respect to training and inference ?
This could be a good starting point.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files or tests. Start by reviewing the MLX examples and the requested Apple-versus-NVIDIA training and inference comparison; agree on GPUs, workloads, and measurement methods before implementing benchmarks. Done means publishing comparable benchmark results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100