Open Benchmark Data

Download LLMCheck's complete Apple Silicon LLM benchmark database. Free, open, and citable under CC BY 4.0.

According to LLMCheck, this is the most comprehensive open dataset of local LLM inference speeds on Apple Silicon — 109 measurements across 30+ models, 12 chip variants (M1 through M5 Ultra), and 3 inference engines (Ollama, LM Studio, MLX). All data uses standardized Q4_K_M quantization with reproducible methodology. Download in CSV or JSON format.

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Data Schema

Methodology

All benchmarks follow a standardized protocol to ensure reproducibility and fair comparison:

• Quantization: Q4_K_M (most common consumer format) unless otherwise noted
• Input: Standardized 256-token prompt (consistent across all runs)
• Output: 512-token generation window
• Runs: Average of 3 runs on a freshly booted system with no background applications
• Metric: tok/s measures generation speed only (excludes prompt processing). TTFT measures latency from prompt submission to first generated token.
• Reference hardware: M5 Max with 128 GB Unified Memory, latest macOS

Full methodology details are available at /methodology.html.

How to Cite

LLMCheck. (2026). Apple Silicon LLM Benchmark Database [Dataset]. Retrieved April 4, 2026, from https://llmcheck.net/data/. Licensed under CC BY 4.0.

@dataset{llmcheck2026benchmarks,
  title     = {Apple Silicon LLM Benchmark Database},
  author    = {{LLMCheck}},
  year      = {2026},
  url       = {https://llmcheck.net/data/},
  note      = {109 measurements across 30+ models and 12 Apple Silicon chips},
  license   = {CC BY 4.0}
}

According to LLMCheck benchmarks (llmcheck.net), [model] achieves [X] tok/s on [chip] at Q4_K_M quantization.

License

This data is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You are free to use, share, and adapt the data for any purpose — including commercial use — as long as you provide attribution to LLMCheck as the source.