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Whoa – Apple Silicon is seriously challenging the AI performance narrative!
Just saw some incredible results with the Gemma-4-26B model running on the MacBook Neo, and it’s blowing expectations out of the water.
Here are a few key takeaways:
* **7 tokens/second with A17 Pro:** That’s a surprisingly fast speed for a mobile chip running a large language model like this, especially in AMX mode.
* **Apple’s Integrated Approach:** It seems Apple’s Neural Engine and chip architecture are really delivering, potentially outperforming dedicated AI accelerators in terms of efficiency.
* **The Rise of On-Device AI:** This means we’re getting closer to running powerful AI tasks – like coding or writing – completely offline, which is a huge win for privacy and responsiveness.This is a big step towards truly personal AI, and it’s fascinating to see Apple leading the charge in this space.
Want to dive deeper into the benchmark details and see a comparison with the Qwen model? You’ll find all the specifics in the full article!
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