text model · Gemma · Android

Can I run Gemma 2 9B on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine

Yes, it runs slow on this hardware ~6 tok/s est.

Yes. Gemma 2 9B runs on Google Pixel 9 Pro at Q4_K_M (~7.3 GB of ~10.5 GB usable).

Needs ~7.3 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~7.3 GB of ~10.5 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~3.2 GB of headroom.

Q4_K_M needed: ~7.3 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

~5.3 GB

Q3_K_M

~5.9 GB

Q4_K_M

~7.3 GB

Q5_K_M

~7.9 GB

Q6_K

~8.9 GB

Q8_0

~11.3 GB

FP16

~19.5 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: 9B
Q4_K_M size: 5.76 GB
Q8_0 size: 9.83 GB
Context: 8k
Ollama tag: gemma2:9b

Full Gemma 2 9B 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 2 9B 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 2 9B?

Yes. Gemma 2 9B runs on Google Pixel 9 Pro at Q4_K_M (~7.3 GB of ~10.5 GB usable).

How much memory does Gemma 2 9B need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~5.76 GB; with KV cache and runtime overhead, budget ~7.3 GB at a 4k context.

What is the best tool to run Gemma 2 9B 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 2 9B on Google Pixel 9 Pro](https://localmodel.run/badge/gemma-2-9b/pixel-9-pro.svg)](https://localmodel.run/can-i-run/gemma-2-9b/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.