Versus Engine
Mac Mini M4 Pro (64GB) vs Threadripper Pro + Dual RTX 4090 Build
Specs, price and the one trade-off that actually decides it — Mac Mini M4 Pro (64GB) against Threadripper Pro + Dual RTX 4090 Build, side by side.
Cheaper to start
Tie
Both start at a similar price.
Rated higher
Mac Mini M4 Pro (64GB)
9.5 vs 9.2 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
- cpu—
- gpu—
- ram_gb—
- vram_gb_total—
Threadripper Pro + Dual RTX 4090 Build
Professional-tier workstation: AMD Ryzen Threadripper Pro with two NVIDIA GeForce RTX 4090s (48 GB VRAM total) and 256 GB of RAM. Runs Llama 3.1 405B and gpt-oss-120b at roughly 10-20 tokens/s — the enterprise end of this index for on-premises inference.
Where it wins, where it doesn't
Pros
- 48GB total VRAM for heavy inference
- Massive PCIe lane bandwidth
- 64-core compute headroom
Cons
- Extreme power consumption (1500W+ peak)
- High noise levels under sustained load
Specifications
- chip—
- tierprofessional
- example_modelsLlama 3.1 405B, gpt-oss-120b
- tokens_per_second10-20
- unified_memory_gb—
- cpuAMD Ryzen Threadripper Pro
- gpu2x NVIDIA GeForce RTX 4090
- ram_gb256
- vram_gb_total48