Rig score · iphone
iPhone 17
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 17 can run
At 8 GB of unified memory, iPhone 17 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 17
FAQ
What local AI rig score does iPhone 17 get?
iPhone 17 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 17 run?
iPhone 17 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 17 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.