john-rocky/apple-silicon-llm-bench
Reproducible on-device LLM benchmarks for Apple Silicon (iPhone 17 Pro, M4 Max): Apple Core AI, MLX, llama.cpp, LiteRT-LM and Core ML on the same model and harness, every number with its quantization and capture session; hybrid Mamba-2 models (Nemotron-3 Nano, Granite-4.0-H, Falcon-H1) included.
ORIGINAL REPOSITORY
john-rocky/apple-silicon-llm-bench ↗GitHub activity
- Stars
- 73
- Forks
- 7
- Open issues and PRs
- 2
- Repository size
- ~10,690 KB
- Default branch
- main
- Created
- May 2, 2026
- Repository updated
- Oct 26, 2026
- Last push
- Oct 17, 2026
- Language
- Python
- License
- MIT
Topics apple-core-ai · apple-silicon · benchmark · core-ai · coreai · coreml · granite · hybrid-mamba · ios · ios-27 · iphone-17-pro · llama-cpp
Repository-wide figures from GitHub, checked Nov 6, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Original repository
- john-rocky/apple-silicon-llm-bench
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- john-rocky
- Upstream last modified
- Oct 26, 2026
- Official website
- https://github.com/john-rocky/apple-silicon-llm-bench
- Languages
- Python
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 6, 2026
- License
- MIT
- Last record update
- Nov 6, 2026