Rig score · iphone
iPhone 16
Runs 40 of 155 models (26%)
Entry, small 1-4B models only.
Biggest it can run: Gemma 4 E2B
- Grade
- D
- Runnable
- 40
- Total
- 155
- Coverage
- 26%
What iPhone 16 can run
At 8 GB of unified memory, iPhone 16 runs 40 of 155 tracked local models, 26% coverage that earns a D. The largest it handles is Gemma 4 E2B at 5.1B parameters; anything bigger needs more memory or a lower quantization.
On-device models run through apps like PocketPal. Stay under about 4B parameters for usable speed and keep the context short to limit memory.
Top models on iPhone 16
FAQ
What local AI rig score does iPhone 16 get?
iPhone 16 scores D: it runs 40 of 155 tracked local LLMs (26%). The biggest it can run is Gemma 4 E2B.
How big a model can iPhone 16 run?
iPhone 16 runs models up to Gemma 4 E2B (5.1B parameters) at Q4_K_M. Its memory is shared with the system, so leave a few GB for the OS.
Is iPhone 16 good for running local LLMs?
On-device models run through apps like PocketPal. Stay under about 4B parameters for usable speed and keep the context short to limit memory.
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Score from coverage of 155 tracked models, estimated with our memory methodology.