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Rig score · iphone

Device readout 2026-11-01
Rig Score B tier
50%
iPad Pro M4 (16GB, 1TB/2TB config) · 16 GB
runs 80 of 161 models · biggest Phi-4 14B
localmodel.run/rig

iPad Pro M4 (16GB, 1TB/2TB config)

Runs 80 of 161 models (50%)

Strong, runs mid-size models up to ~14B.

Biggest it can run: Phi-4 14B

Grade
B
Runnable
80
Total
161
Coverage
50%

What iPad Pro M4 (16GB, 1TB/2TB config) can run

At 16 GB of unified memory, iPad Pro M4 (16GB, 1TB/2TB config) runs 80 of 161 tracked local models, 50% coverage that earns a B. The largest it handles is Phi-4 14B at 14B parameters; anything bigger needs more memory or a lower quantization.

CPU and GPU share one 16 GB pool, so there is no separate VRAM to spill out of. Memory bandwidth sets the speed: mixture-of-experts models run well here, while large dense models load but generate slowly.

79 run well 1 tight fit 81 too big

Top models on iPad Pro M4 (16GB, 1TB/2TB config)

FAQ

What local AI rig score does iPad Pro M4 (16GB, 1TB/2TB config) get?

iPad Pro M4 (16GB, 1TB/2TB config) scores B: it runs 80 of 161 tracked local LLMs (50%). The biggest it can run is Phi-4 14B.

How big a model can iPad Pro M4 (16GB, 1TB/2TB config) run?

iPad Pro M4 (16GB, 1TB/2TB config) runs models up to Phi-4 14B (14B parameters) at Q4_K_M. Its memory is shared with the system, so leave a few GB for the OS.

Is iPad Pro M4 (16GB, 1TB/2TB config) good for running local LLMs?

CPU and GPU share one 16 GB pool, so there is no separate VRAM to spill out of. Memory bandwidth sets the speed: mixture-of-experts models run well here, while large dense models load but generate slowly.

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Score from coverage of 161 tracked models, estimated with our memory methodology.