AIToday

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

r/LocalLLaMAApr 19, 20261 min read

Summaries like this, in your inbox every morning.

Sign up free →

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

Discussion

No discussion yet for this article

Stay ahead with AI news

Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.

Get Started Free

Free · takes 30 seconds · unsubscribe anytime

1 minute a day. The AI essentials.

200+ sources · Email / LINE / Slack

Get it free →