First Look at the M6 Mac Mini: Chip Changes, Benchmarks, and Local AI Performance Compared to the M4

An initial hands-on look at the M6 Mac Mini, comparing it against the M4 generation to see whether the upgrade matters for developers and local AI users. The video runs Geekbench, browser, Python, Xcode compile, storage, and memory bandwidth benchmarks, then puts both machines through local LLM and image generation workloads.

■ Chip & Hardware Overview
- CPU core layout changes, GPU core count, neural accelerators, and the dual neural engine
- Wireless chip, Ethernet, and Thunderbolt port differences
- 2nm process, power draw, and memory bandwidth (16GB vs 32GB configurations)

■ Benchmarks & Developer Tests
- Geekbench version differences and how scores are compared
- Speedometer, Python (Mandelbrot), Xcode compile, and SSD read/write tests

■ Local AI Testing
- Prompt processing and token generation with llama.cpp and Llama Benchy
- Image generation, power and thermal measurements, and a 27B parameter model on 32GB

■ Buying Advice
- Recommended storage and memory configurations, starting price, and how it compares with the M5 Pro

Best suited for developers, AI enthusiasts, and anyone considering an M4-to-M6 upgrade. Watching will help you understand what actually changed in the chip, how the two generations differ in real workloads, and which configuration to pick before purchasing. Future videos will cover the M5 Pro, a local cluster build, and the M5 Ultra.