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Build private, on-device AI features on iPhone, iPad, and Mac with Foundation Models, Core ML, MLX Swift, or llama.cpp.
Passed 21 of 22 test cases with the skill, and 16 of 22 without it.
and 5 more in the full report
5 fixed16 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
In our SwiftUI app using SystemLanguageModel, we want to minimize initial generation latency when the user submits their first prompt. What method should we invoke on the session during view appearance prior to prompt submission?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies calling prewarm() on the session | Missed | Passed |
The instructions your model reads when the skill loads.
Guide for selecting, deploying, and optimizing on-device ML models. Covers Apple Foundation Models, Core ML, MLX Swift, and llama.cpp.
Use this decision tree to pick the right framework for your use case.
When to use: Text generation, summarization, entity extraction, structured output, and short dialog on iOS 26+ / macOS 26+ devices with Apple Intelligence enabled. No app-managed API key, network round trip, or model hosting; still handle system model asset readiness.
Best for:
@Generable typesTool protocolNot suited for: Complex math, code generation, factual accuracy tasks, or apps targeting pre-iOS 26 devices.
When to use: Deploying custom trained models (vision, NLP, audio) across all
test cases passed, vs 16 / 22 without
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