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
- Stars
- 72
- Forks
- 6
- Open issues
- 2
- Last push
- 8d ago
apple-silicon-llm-bench star history
+0 this week
About apple-silicon-llm-bench
apple-silicon-llm-bench is a free, open-source AI inference tool by john-rocky, written mainly in Python. 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. It has 72 GitHub stars and 6 forks, and was last updated 8d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 72
- Last update
- 8d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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apple-silicon-llm-bench FAQ
Can I use apple-silicon-llm-bench commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is apple-silicon-llm-bench free?
Yes. apple-silicon-llm-bench is open source and free to use. It's released under the MIT license, a standard open-source license.
Does apple-silicon-llm-bench run on a Mac?
Yes. According to the project, apple-silicon-llm-bench works on macOS.
Does apple-silicon-llm-bench need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is apple-silicon-llm-bench still maintained?
Yes. It was last updated 8d ago and has 2 open issues on GitHub.
What are alternatives to apple-silicon-llm-bench?
Similar free, open-source tools include llama.cpp, llm-action, ai-infra-book, cactus.
Maintain apple-silicon-llm-bench?
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