text model · Gemma · Android

Can I run Gemma 4 E2B on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine

Yes, it runs slow on this hardware ~11 tok/s est.

Yes. Gemma 4 E2B runs on Google Pixel 9 Pro at Q4_K_M (~4.4 GB of ~10.5 GB usable).

Needs ~4.4 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~4.4 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 ~6.1 GB of headroom, room to step up to Q8_0 for higher quality.

Q4_K_M needed: ~4.4 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

~3.4 GB

Q3_K_M

~3.8 GB

Q4_K_M

~4.4 GB

Q5_K_M

~4.9 GB

Q6_K

~5.5 GB

Q8_0

~6.4 GB

FP16

~10.6 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: 5.1B
Q4_K_M size: 3.11 GB
Q8_0 size: 5.05 GB
Context: 128k
Ollama tag: gemma4:e2b

Full Gemma 4 E2B 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 4 E2B on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 Pro iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM)

FAQ

Can Google Pixel 9 Pro run Gemma 4 E2B?

Yes. Gemma 4 E2B runs on Google Pixel 9 Pro at Q4_K_M (~4.4 GB of ~10.5 GB usable).

How much memory does Gemma 4 E2B need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~3.11 GB; with KV cache and runtime overhead, budget ~4.4 GB at a 4k context.

What is the best tool to run Gemma 4 E2B 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 4 E2B on Google Pixel 9 Pro](https://localmodel.run/badge/gemma-4-e2b/pixel-9-pro.svg)](https://localmodel.run/can-i-run/gemma-4-e2b/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.