BFWR AI Tools
Head-to-Head Showdown

Apple MacBook Pro 16-inch (M4 Max 128GB) vs Custom Workstation PC (RTX 4090 24GB)

Comparing ARM architecture against x86 for local AI inference. Review generation throughput, memory architecture, and runner compatibility.

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System A

Apple MacBook Pro 16-inch (M4 Max 128GB)

Apple M4 Max (16-core CPU, 40-core GPU)
128 GB MemoryARM~72.4 t/s
System B

Custom Workstation PC (RTX 4090 24GB)

AMD Ryzen 9 7950X + NVIDIA RTX 4090 (24GB VRAM)
64 GB Memoryx86~133.7 t/s
SpecificationApple MacBook Pro 16-inch (M4 Max 128GB)Custom Workstation PC (RTX 4090 24GB)
ArchitectureARMx86
ProcessorApple M4 Max (16-core CPU, 40-core GPU)AMD Ryzen 9 7950X + NVIDIA RTX 4090 (24GB VRAM)
Operating SystemmacOSLinux
System RAM / Unified Memory128 GB64 GB
GPU-Usable Memory (VRAM or unified)96 GB24 GB
Memory Bandwidth546 GB/s1008 GB/s
Memory Type & BandwidthUnified Memory (546 GB/s)DDR5-6000 + 24GB GDDR6X VRAM
NPU Acceleration (TOPS)38 TOPS1321 TOPS
Small models (3–7B) Yes (Compatible) Yes (Compatible)
8B models (Qwen3 8B) Yes (Compatible) Yes (Compatible)
Estimated 8B Generation Speed~72.4 t/s~133.7 t/s
Recommended Max Context128k tokens64k tokens
Power Consumption Envelope40-90W350-550W

Guides behind this comparison

The buying and sizing guides that explain the numbers above.