AIToday
r/LocalLLaMAPublished: Apr 19, 2026, 19:00 JST1 min read

Performance comparison shows GGUF slightly outperforms MLX for Gemma-4-26B on Apple Silicon hardware

3 Key Points

  1. User tested MLX and GGUF versions of Google's Gemma-4-26B model on M1 Max with 32GB RAM

  2. GGUF demonstrated faster prompt processing at 4.28 seconds compared to MLX's 6.32 seconds

  3. Token generation speeds were nearly identical, with GGUF at 52.49 tokens/second versus MLX at 51.61 tokens/second

  4. Test used a 3,000-token prompt containing Python code and Streamlit-related questions

  5. User solicited feedback from experienced community members to verify findings and identify any testing methodology errors

Ask the AI about this article →

Get AI news like this every morning

For example, today's edition would include:

  • CrowdStrike unveils SafeMind, autonomous red teamingSiliconANGLE AI · 26m ago
  • ASE CEO: AI resource squeeze is short-termDIGITIMES Asia · 26m ago
  • Google signs largest enhanced geothermal deal with FervoYahoo Finance AI · 26m ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Next articleJim Cramer highlights Amazon as a superior AI investment choice compared to Microsoft, citing strong stock performance and analyst confidence.