Apple's M6 Mac mini and competing mini PCs from Asus, Lenovo, and Acer are racing to become the primary devices for running AI models locally, with prices ranging from $900 to $3,700. These compact computers feature specialized AI accelerators and aim to challenge Apple's dominance, though clustering multiple machines may be necessary for meaningful on-device AI performance.
Apple's M6 chip benchmark results surfaced ahead of next week's Mac mini launch, showing approximately 12% single-core and 27% multi-core CPU performance gains over the M5 chip. The M6 achieves the fastest single-threaded CPU performance across all Macs and PCs in Geekbench 7, validating Apple's performance claims.
A Geekbench 6.3 benchmark of Apple's M6 Mac mini shows single-core and multi-core performance gains of roughly 10% and 20% respectively over the M5, aligning with Apple's claims. Surprisingly, the M6 trails Apple's A20 Pro smartphone chip in single-core performance and clock speed despite better thermal conditions, possibly due to different core design choices between the M-series and A-series.
A technical guide for running Gemma 4 26B on a Mac Mini M4 by raising the Metal GPU memory limit from the macOS default to enable full GPU utilization. The article explains why the model defaults to 66% CPU usage due to unified memory constraints and provides commands and configuration to achieve 100% GPU processing.