BFWR AI Tools
Head-to-Head Showdown

Apple Mac mini (M4 Pro, 24GB) vs Apple Mac mini (M4, 16GB)

Comparing ARM architecture against ARM for local AI inference. Review generation throughput, memory architecture, and runner compatibility.

Select Any Two Systems to Compare Head-to-Head
System A

Apple Mac mini (M4 Pro, 24GB)

Apple M4 Pro (12-core CPU, 16-core GPU)
24 GB MemoryARM~36.2 t/s
System B

Apple Mac mini (M4, 16GB)

Apple M4 (10-core CPU, 10-core GPU)
16 GB MemoryARM~15.9 t/s
SpecificationApple Mac mini (M4 Pro, 24GB)Apple Mac mini (M4, 16GB)
ArchitectureARMARM
ProcessorApple M4 Pro (12-core CPU, 16-core GPU)Apple M4 (10-core CPU, 10-core GPU)
Operating SystemmacOSmacOS
System RAM / Unified Memory24 GB16 GB
GPU-Usable Memory (VRAM or unified)16.1 GB10.7 GB
Memory Bandwidth273 GB/s120 GB/s
Memory Type & BandwidthUnified Memory (273 GB/s)Unified Memory (120 GB/s)
NPU Acceleration (TOPS)38 TOPS38 TOPS
Small models (3–7B) Yes (Compatible) Yes (Compatible)
8B models (Qwen3 8B) Yes (Compatible) Yes (Compatible)
Estimated 8B Generation Speed~36.2 t/s~15.9 t/s
Recommended Max Context32k tokens32k tokens
Power Consumption Envelope20-40W12-22W

Guides behind this comparison

The buying and sizing guides that explain the numbers above.