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Apple Silicon

Mac Configurations for Local LLMs

Apple Silicon Macs compared for local LLM inference performance and value.

MacBook Pro 14" M4 Pro (48GB)

Apple M4 Pro

$2,499

Unified Memory
48 GB
Max Model Size
~40 GB
Llama 3.1 8B
42 tok/s
Neural Engine
38 TOPS

Key benefits:

for 7B–14B models with MLX operation, no GPU driver hassle
View configuration details

Mac Studio M4 Max (64GB)

Apple M4 Max

$1,999

Unified Memory
64 GB
Max Model Size
~52 GB
Llama 3.1 8B
55 tok/s
Neural Engine
54 TOPS

Key benefits:

Desktop-class thermals for sustained inference for 32B Q4 with MLX
View configuration details

Mac Studio M3 Ultra (128GB)

Apple M3 Ultra

$3,999

Unified Memory
128 GB
Max Model Size
~110 GB
Llama 3.1 8B
68 tok/s
Neural Engine
60 TOPS

Key benefits:

unified memory pool for local LLMs run 70B Q4 with careful quantization
View configuration details

Mac vs PC for Local LLMs

Mac Advantages

  • • Unified memory shared between CPU and GPU
  • • Silent operation with excellent power efficiency
  • • MLX framework optimized for Apple Silicon
  • • No GPU driver compatibility issues

PC Advantages

  • • Multi-GPU scaling for larger models
  • • Better performance per dollar at scale
  • • Wider ecosystem and model support
  • • Upgradeable and customizable hardware