Rig score · iphone
iPhone 16
Runs 43 of 161 models (27%)
Entry, small 1-4B models only.
Biggest it can run: Gemma 4 E2B
- Grade
- D
- Runnable
- 43
- Total
- 161
- Coverage
- 27%
What iPhone 16 can run
At 8 GB of unified memory, iPhone 16 runs 43 of 161 tracked local models, 27% 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.
CPU and GPU share one 8 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.
Top models on iPhone 16
FAQ
What local AI rig score does iPhone 16 get?
iPhone 16 scores D: it runs 43 of 161 tracked local LLMs (27%). 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?
CPU and GPU share one 8 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.