nemotron-51b vs phi-4-14b on Apple M2 Pro

Compare nemotron-51b and phi-4-14b running locally on Apple M2 Pro (16GB unified) — tokens/sec, VRAM fit, and quality scores for local inference.

Quick answer: This Apple M2 Pro comparison shows VRAM fit and quality data for nemotron-51b vs phi-4-14b, but one or both decode-speed benchmarks are still missing.

Compare a different combination

nemotron-51b
tok/s (decode)
Quant Q4_K_M
VRAM required 30.6GB
Fits on Apple M2 Pro ✗ No
Quality score 80 / 100
Eval sources
Data estimate
phi-4-14b
20
tok/s (decode)
Quant Q4_K_M
VRAM required 9GB
Fits on Apple M2 Pro
Quality score 85 / 100
Eval sources
Data estimate
Improve this GPU comparison
Measured nemotron-51b or phi-4-14b on Apple M2 Pro?

Add a source link or correction so this page can rank with real hardware-specific data instead of estimates.

Contribute GPU comparison data

GPU comparison FAQ

Which is faster on Apple M2 Pro: nemotron-51b or phi-4-14b?

This Apple M2 Pro comparison shows VRAM fit and quality data for nemotron-51b vs phi-4-14b, but one or both decode-speed benchmarks are still missing.

Do both models fit on Apple M2 Pro?

nemotron-51b: ✗ No. phi-4-14b: ✓. The fit labels use Q4_K_M VRAM estimates and the benchmark data available for this GPU.

How much VRAM do these models need?

nemotron-51b needs about 30.6GB in Q4_K_M; phi-4-14b needs about 9GB in Q4_K_M.

Why can speed differ by GPU?

Local LLM speed depends on GPU memory bandwidth, backend, quantization, context length, and whether the model fits entirely in VRAM or unified memory.

How can I correct this comparison?

Use the GitHub correction link on this page with your GPU, model, quantization, context length, and measured decode tokens per second.

Last updated: 2026-06-16 Suggest a correction → GitHub