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iPhone 17 Pro Demonstrated Running a 400B LLM

twitter.com

March 23, 2026

1 min read

🔥🔥🔥🔥🔥

71/100

Summary

Anemll successfully runs a 400 billion parameter model on an iPhone, achieving a performance of 0.6 tokens per second. The post has garnered over 113,000 views and numerous replies.

Key Takeaways

  • Anemll successfully ran a 400 billion parameter model on an iPhone.
  • The model achieved a processing speed of 0.6 tokens per second.
  • The tweet received over 113,000 views and numerous replies.
Read original article

Coverage & discussions

Hacker News · twitter.com

iPhone 17 Pro Demonstrated Running a 400B LLM ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

  • Running a 400B parameter model on a handheld device showcases the incredible advancements in AI capabilities, making powerful tools more accessible.
  • The potential for future models to achieve 100 t/s indicates rapid progress in both AI model efficiency and hardware development, which could revolutionize mobile AI applications.

Concerns

  • The reliance on a mixture of experts raises questions about the actual performance and efficiency of the model, as not all parameters are active simultaneously.

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