microsoft/Phi-3-medium-4k-instruct
14B params · est. 8.4 GB Q4
Head-to-head
Compare recorded specifications and inspect source links for both devices. Speed comparisons appear only when workload, runtime version, quantization, context and batch match.
Device profile
70B Q4 full-GPU at ~8-12 tok/s, 32B Q4 at ~25-30 tok/s — the best Mac for large-model inference
Matched rows below
128 GB
65 W
Not scored
Device profile
8B–32B quantized models with room reserved for runtime and KV cache.
Matched rows below
32 GB
575 W
Not scored
Speed comparisons require matching runtime settings. A missing score means insufficient comparative evidence.
Apple M4 Max (40c GPU, 128GB) wins VRAM capacity.
Apple M4 Max (40c GPU, 128GB) has the lower published power rating.
| Metric | Apple M4 Max (40c GPU, 128GB) | NVIDIA GeForce RTX 5090 32GB |
|---|---|---|
| MyAI rating | Not scored | Not scored |
| Speed comparison | See matched rows below | See matched rows below |
| VRAM | 128 GB | 32 GB |
| TDP | 65 W | 575 W |
| MSRP | $4.7k | $2.0k |
| Workloads | 11 | 30 |
This shortlist cross-references the external OpenEvals snapshot with an approximate Q4-class VRAM estimate. Use it to sanity-check whether the hardware you are comparing can host strong open models, not just benchmark toy workloads.
microsoft/Phi-3-medium-4k-instruct
14B params · est. 8.4 GB Q4
Qwen/Qwen2-72B
73B params · est. 43.6 GB Q4
microsoft/Phi-3.5-mini-instruct
3.8B params · est. 2.3 GB Q4
internlm/internlm2_5-7b-chat
7.7B params · est. 4.6 GB Q4