text model · Gemma · Android

Can I run Gemma 3n E4B on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine

Yes, it runs slow on this hardware ~8 tok/s est.

Yes. Gemma 3n E4B runs on Google Pixel 9 Pro at Q4_K_M (~5.7 GB of ~10.5 GB usable).

Needs ~5.7 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~5.7 GB of ~10.5 GB usable. You have room for Q8_0 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~4.8 GB of headroom, room to step up to Q8_0 for higher quality.

Q4_K_M needed: ~5.7 GB
Usable on device: ~10.5 GB
Device memory: 16 GB
Best quant: Q4_K_M

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Which quant fits

Quant ladder vs ~10.5 GB usable

Q2_K

~4.9 GB

Q3_K_M

~5.4 GB

Q4_K_M

~5.7 GB

Q5_K_M

~7.2 GB

Q6_K

~8.1 GB

Q8_0

~8.4 GB

FP16

~15.2 GB

The line marks Google Pixel 9 Pro's ~10.5 GB budget; rungs past it are too large.

How to run it

On Android use PocketPal AI (Polished app, download GGUF and run offline.).

Model Gemma

Parameters: 8B
Q4_K_M size: 4.23 GB
Q8_0 size: 6.85 GB
Context: 32k
Ollama tag: gemma3n:e4b

Full Gemma 3n E4B requirements →

Device Android

Memory: 16 GB ram
Usable for weights: ~10.5 GB
Best runtime: llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)

Best models for Google Pixel 9 Pro →

You could also run

Run Gemma 3n E4B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Samsung Galaxy S24 Ultra Generic Android Phone (12GB RAM)iPhone 17 Pro iPhone Air

FAQ

Can Google Pixel 9 Pro run Gemma 3n E4B?

Yes. Gemma 3n E4B runs on Google Pixel 9 Pro at Q4_K_M (~5.7 GB of ~10.5 GB usable).

How much memory does Gemma 3n E4B need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~4.23 GB; with KV cache and runtime overhead, budget ~5.7 GB at a 4k context.

What is the best tool to run Gemma 3n E4B on Android?

On Android, PocketPal AI (Polished app, download GGUF and run offline.) is the go-to option. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.

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Markdown

[![Gemma 3n E4B on Google Pixel 9 Pro](https://localmodel.run/badge/gemma-3n-e4b/pixel-9-pro.svg)](https://localmodel.run/can-i-run/gemma-3n-e4b/pixel-9-pro)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.