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JevMade field notes / Port and benchmark report

Testing the speed and energy of an Apple AI decision tool

You will learn how the author adapted an AI decision tool for Apple computers. The guide explains how to measure its true speed and energy use, showing both successful tests and missed goals.

Original by mizorewwwEvaluation

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Credits

“Laya-CoreML” by mizorewww. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This project adapts a specific AI tool to run on the specialized AI chips inside modern Apple computers. Instead of writing out long text, this software quickly chooses between given options. People use this to make fast, automated decisions locally without needing an internet connection.

The author tests the software by having it play a classic snake game. To get honest numbers, the guide measures the entire process of answering a single question from start to finish. It separates this basic speed test from the overall time it takes to run the game.

This guide is useful for developers testing AI software on Apple hardware. The fastest version only works with very short questions and missed the author's goal of running ten times faster. The software must also be carefully checked to ensure it still gives the correct answers after being adapted.

Key takeaways

  1. Measure the entire process of asking and answering a question to find the true speed.
  2. Test single questions separately from complex tasks to see exactly how the software performs.
  3. Check that adapted software still gives the same answers and respect its strict length limits.

The author reports specific speed and energy improvements on an M3 Max computer. The energy numbers are estimates from a hardware sensor, and the reviewer did not independently test them.

GitHub repository · Source reviewed

Read the original guide Opens the author’s site in a new tab.