ml-explore / ml-explore/mlx-examples
M1 perf. tests. Who has M2/M3 could you run tests and publish results?
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- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.2k
- PR merge metrics
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Description
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
Start by reviewing the linked repository at https://github.com/ivanrylov/mlx-m1-pro-speed-tests/ and the surrounding issue context. Identify the relevant benchmark procedure for M2 and M3 hardware, run the tests, and publish the resulting measurements in the requested project location.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance, testing-qa
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100