Run Gemma 4 on iPhone 14 with Google AI Edge Gallery
iPhone 14 is the oldest iPhone with confirmed real-world Gemma 4 benchmarks. A Hacker News user reported running Gemma 4 E2B at 12 tokens per second on the A15 Bionic chip with 6 GB of RAM in April 2026, slow compared to newer iPhones, but still usable for short prompts and casual chat. The older silicon stays cool under load, which is a nice side effect when newer A18 Pro devices report thermal throttling. If you own an iPhone 14 and are not upgrading soon, Google AI Edge Gallery still gives you a real on-device AI experience.
On the iPhone 14 (Apple A15 Bionic, 6GB RAM), run Google Gemma 4 E2B at ~12 tok/s (measured) via Google AI Edge Gallery. Gemma 4 E2B is ~2.5 GB on disk and uses 1-1.5 GB in memory, fully offline, no account required.
Sizing rule: an on-device model must fit its weights plus working memory inside the iPhone 14's 6GB of RAM, shared with iOS and the host app. The larger Gemma 4 E4B (~5GB on disk, 2-3GB in use) is the quality upgrade, but it only fits phones with more free memory. Everything runs fully offline once the model is downloaded, and speed varies with thermal state during long sessions. What it will not run: 7B-class and larger models exceed a phone's usable memory; those need a Mac, a GPU, or a cloud API.
→ Install Google AI Edge Gallery (iOS 17+), then download Gemma 4.
Speed is a real-world user-reported measurement; on-device speed varies with thermal state.
Cite this page: ModelFit, Run Gemma 4 on iPhone 14: 12 tok/s Confirmed (2026), https://modelfit.io/iphone/iphone-14/, updated August 2026, CC BY 4.0.
Last updated: August 26, 2026 · Editor: ModelFit Team
Verdict
Recommended: Gemma 4 E2BiPhone 14 is the slowest supported iPhone for Gemma 4, but it works. ~12 tok/s is enough for casual use, and the older chip stays cool.
Gemma 4 Performance on iPhone 14
Speeds via Google AI Edge Gallery on iOS 17+. "Measured" numbers come from real-world Hacker News user reports; "Estimated" numbers are interpolations from chip generation. Both Gemma 4 variants use int4 quantization-aware training.
Best for
- iPhone 14 owners who are not upgrading soon
- Short prompts and casual chat
- Offline translation in a pinch
- Trying Gemma without spending money on new hardware
Watch outs
- Slowest of the supported iPhones. Long responses test patience
- Gemma 4 E4B is not recommended on 6 GB RAM
- Apple Intelligence is not supported on iPhone 14 at all
Setup Guide
Step-by-step install for Google AI Edge Gallery on iPhone 14, plus full benchmarks and the privacy details.