Versus Engine
Mac Mini M4 Pro (64GB) vs NVIDIA GeForce RTX 4090
Specs, price and the one trade-off that actually decides it — Mac Mini M4 Pro (64GB) against NVIDIA GeForce RTX 4090, side by side.
Cheaper to start
NVIDIA GeForce RTX 4090
Starts about $400 lower.
Rated higher
Tie
Both score 9.5 on our design scale.
Standout
Mac Mini M4 Pro (64GB)
64GB unified memory accessible by GPU
Mac Mini M4 Pro (64GB)
Compact unified-memory system built on the Apple M4 Pro with 64 GB shared between CPU and GPU. Runs Gemma 3 27B and Qwen3 30B-A3B at roughly 35-50 tokens/s while operating near-silently — the mid tier of this index for local AI work.
Where it wins, where it doesn't
Pros
- 64GB unified memory accessible by GPU
- Near-silent operation at 100% load
- Class-leading performance-per-watt
Cons
- Zero post-purchase upgradeability
- Lacks native CUDA ecosystem support
Specifications
- chipApple M4 Pro
- tiermid
- example_modelsGemma 3 27B, Qwen3 30B-A3B
- tokens_per_second35-50
- unified_memory_gb64
- tdp—
- vram—
- cuda_cores—
NVIDIA GeForce RTX 4090
The undisputed champion of consumer GPUs, offering 24GB of GDDR6X VRAM and unmatched tensor core performance for AI training and inference.
Where it wins, where it doesn't
Pros
- Unmatched raw compute
- 24GB VRAM for large batches
- Excellent software ecosystem (CUDA)
Cons
- Massive physical size
- High power draw (450W)
- Scalper pricing common
Specifications
- chip—
- tierenthusiast
- example_models—
- tokens_per_second—
- unified_memory_gb—
- tdp450W
- vram24GB GDDR6X
- cuda_cores16384