Head-to-Head Showdown

Apple MacBook Pro 14-inch (M4 Pro 48GB) vs ASUS ROG Zephyrus G16 (AMD AI 9 + RTX 4070)

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

Select Any Two Systems to Compare Head-to-Head

System A (Left)

System B (Right)

System A

Apple MacBook Pro 14-inch (M4 Pro 48GB)

Apple M4 Pro (14-core CPU, 20-core GPU)

48 GB MemoryARM~36.2 t/s

System B

AMD Ryzen AI 9 HX 370 + NVIDIA RTX 4070 (8GB VRAM)

32 GB Memoryx86~34 t/s

Specification	Apple MacBook Pro 14-inch (M4 Pro 48GB)	ASUS ROG Zephyrus G16 (AMD AI 9 + RTX 4070)
Architecture	ARM	x86
Processor	Apple M4 Pro (14-core CPU, 20-core GPU)	AMD Ryzen AI 9 HX 370 + NVIDIA RTX 4070 (8GB VRAM)
Operating System	macOS	Windows x86
System RAM / Unified Memory	48 GB	32 GB
GPU-Usable Memory (VRAM or unified)	36 GB	8 GB
Memory Bandwidth	273 GB/s	256 GB/s
Memory Type & Bandwidth	Unified Memory (273 GB/s)	LPDDR5X-7500 + 8GB GDDR6 VRAM
NPU Acceleration (TOPS)	38 TOPS	371 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	~34 t/s
Recommended Max Context	64k tokens	8k tokens
Power Consumption Envelope	25-50W	50-130W

The buying and sizing guides that explain the numbers above.