Run Gemma 4 on iPhone 17 Pro with Google AI Edge Gallery

The iPhone 17 Pro is the fastest iPhone ever released for on-device AI. With 12 GB of RAM and the A19 Pro's upgraded 16-core Neural Engine, it is the only iPhone that can run Google Gemma 4 E4B (5 GB, 4.5B effective parameters) without forcing other apps out of memory. Real-world testing puts E4B around 30 tokens per second and the smaller E2B variant past 40 tok/s. If you want the best on-device AI experience iOS currently offers, this is the device.

Apple A19 Pro12 GB RAM2025

Quick answer

On the iPhone 17 Pro (Apple A19 Pro, 12GB RAM), run Google Gemma 4 E4B at ~30 tok/s (measured) via Google AI Edge Gallery. Gemma 4 E4B is ~5 GB on disk and uses 2-3 GB in memory, fully offline, no account required.

Sizing rule: an on-device model must fit its weights plus working memory inside the iPhone 17 Pro's 12GB of RAM, shared with iOS and the host app. If E4B feels slow, Gemma 4 E2B (~2.5GB on disk, ~40 tok/s est.) is the lighter fallback. 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.

TOP PICK

Gemma 4 E4B

SPEED

~30 tok/s (measured)

DEVICE RAM

12 GB

Speed is a real-world user-reported measurement; on-device speed varies with thermal state.

Cite this page: ModelFit, Run Gemma 4 on iPhone 17 Pro: 40+ tok/s with Edge Gallery (2026), https://modelfit.io/iphone/iphone-17-pro/, updated August 2026, CC BY 4.0.

Last updated: August 26, 2026 · Editor: ModelFit Team

Verdict

Recommended: Gemma 4 E4B

iPhone 17 Pro is the only iPhone where Gemma 4 E4B runs comfortably. Pick E4B for the highest local quality, or E2B if you want maximum speed and battery efficiency.

Hardware Profile

DEVICE

iPhone 17 Pro

CHIP

Apple A19 Pro

RAM

12 GB

NEURAL ENGINE

16-core

Gemma 4 Performance on iPhone 17 Pro

Bar chart: Gemma 4 speed on iPhone 17 Pro in Google AI Edge Gallery. Gemma 4 E2B ~40 tok/s, Gemma 4 E4B ~30 tok/s.

Model	Download	RAM in Use	Speed	Source
Gemma 4 E2B	~2.5 GB	1-1.5 GB	~40 tok/s	Estimated
Gemma 4 E4BTop Pick	~5 GB	2-3 GB	~30 tok/s	Measured

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

Multimodal AI: text + image + 30s audio in one conversation
Long context (128K) document analysis on the go
Travelers who need offline translation in any language
Privacy-sensitive workflows where no data can leave the phone

Watch outs

Sustained inference still warms the device. Expect throttling after ~10 minutes of continuous generation
E4B model download is ~5 GB. Use Wi-Fi, not cellular
Battery: continuous chat drains roughly 15-20% per hour

Setup Guide

Step-by-step install for Google AI Edge Gallery on iPhone 17 Pro, plus full benchmarks and the privacy details.

Read the full guide

Frequently Asked Questions

Can iPhone 17 Pro run Gemma 4 E4B?

Yes. iPhone 17 Pro with 12 GB RAM is the first iPhone where Gemma 4 E4B runs comfortably without aggressive background-app eviction. Expect ~30 tokens/sec in Google AI Edge Gallery, multimodal input (text + image + audio), and the full 128K-token context window.

How fast is Gemma 4 on iPhone 17 Pro?

Gemma 4 E2B runs at roughly 40+ tokens/second on iPhone 17 Pro per 36Kr / MachineHeart testing, April 2026 (eu.36kr.com). The larger E4B settles around 30 tok/s. Both numbers assume the phone is cool and on AC power; sustained generation triggers thermal throttling after several minutes.

Does iPhone 17 Pro have enough RAM for Gemma 4 E4B?

Yes. iPhone 17 Pro ships with 12 GB RAM. Gemma 4 E4B uses 2-3 GB in active inference plus ~5 GB on disk for the model weights. iOS reserves 3-4 GB for the system, leaving comfortable headroom for the model and other foreground apps.

Is Apple Intelligence faster than Gemma 4 on iPhone 17 Pro?

Different tools. Apple Intelligence uses a tightly integrated ~3B foundation model and is faster for the specific tasks Apple ships (rewriting, summarization, Genmoji). Gemma 4 E4B is a larger 4.5B-effective-parameter model with broader capabilities, full multimodal input, and direct prompt control. For general chat and reasoning, Gemma is more flexible.