# Can I run Gemma 3 12B on iPhone Air?

> **No, not enough memory.** Needs ~8.9 GB even at Q4_K_M, but only ~8 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Gemma 3 12B: 12B; Q4_K_M weighs 7.3 GB on disk.
- At Q4_K_M with a 4k context it needs ~8.9 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- iPhone Air: 12 GB unified, ~8 GB usable for model weights.
- Headroom: ~-0.9 GB.

## How to run
Recommended quant: n/a. Best tool on iOS: Apple Foundation Models.

## Run Gemma 3 12B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-4070-12gb)
- [Apple M2 (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m2-16gb)
- [Apple M4 (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m4-16gb)
- [Nvidia GeForce RTX 4060 Ti (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-4060-ti-16gb)
- [Nvidia GeForce RTX 4080 (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-4080-16gb)

## Other models that run on iPhone Air
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/iphone-air)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/iphone-air)
- [GLM-4 9B (9B)](https://localmodel.run/can-i-run/glm-4-9b/iphone-air)
- [Qwen2.5-VL 7B (8.29B)](https://localmodel.run/can-i-run/qwen2.5-vl-7b/iphone-air)
- [Llama 3.1 8B (8B)](https://localmodel.run/can-i-run/llama-3.1-8b/iphone-air)
- [Qwen3 8B (8B)](https://localmodel.run/can-i-run/qwen3-8b/iphone-air)

Estimate, not a guarantee. Sources: https://ollama.com/library/gemma3, https://ollama.com/library/gemma3/tags, https://huggingface.co/bartowski/google_gemma-3-12b-it-GGUF, https://lmarena.ai/leaderboard.
More: https://localmodel.run/can-i-run/gemma-3-12b/iphone-air