LM Studio M5 speeds look uneven

Local AI speed on Apple Silicon is a moving target, and this reads less like a broken machine than a calibration check for LM Studio's newest runtime path.

• –LM Studio officially supports both `llama.cpp` GGUF and Apple `MLX` on Apple Silicon, and Apple calls out LM Studio as one of the apps that should benefit from M5's Neural Accelerators.
• –LM Studio has already shipped M5-specific MLX NAX auto-upgrade fixes, so benchmark comparisons on this chip age fast and older runtime builds can undershoot.
• –Community M5 reports already show Nemotron nano 4bit around ~55 t/s after a runtime switch, which makes the poster's 32 t/s believable but not especially fast.
• –The 27B Gemma run is the outlier: 8 t/s points to a bandwidth-heavy workload, a heavier context, or a model/backend pairing that is not hitting the chip's best path.