Apple Neural Engine

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john-rocky/apple-silicon-llm-bench: Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models

 🍎Apple  Content type: Code
github.com··Hacker News

Training an LLM in Swift, Part 2: macOS built-in frameworks

 🍎Apple  Content type: Blog
cocoawithlove.com··Hacker News

Show HN: AudioTap, record calls, transcribe and diarize locally

 🍎Apple
audiotap.app··Hacker News
Less-relevant results

Apple's Foundation Models can now use third-party LLMs (Claude, Gemini) [video]

 🍎Apple
developer.apple.com··Hacker News

lbj96347/nemotron-3.5-asr-ios: On-device, offline speech recognition for iPhone/iPad using NVIDIA's Nemotron-3.5-ASR Streaming 0.6B (multilingual) via CoreML.SwiftUI app with mic capture + audio file import, RNN-Tdecoding, and live benchmark metrics (latency, RTF, memory).

 🍎Apple  Content type: Code
github.com··Hacker News

Why I care so much about energy per token

 🍎Apple  Content type: Blog
ziraph.com··Hacker News

Apples to Apples: MLX vs. Llama.cpp for Gemma 4 12B on an M1 16GB

 🍎Apple  Content type: Blog
ziraph.com··Hacker News

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