# Can I run Gemma 3 12B on an Arc B580? | What Can I Run AI?

> Yes. Gemma 3 12B at Q4_K_M needs about 9.5 GB; Arc B580 has 12.0 GB usable. Estimated tokens/sec and context headroom.

Source: https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/arc-b580/

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**Yes.** Gemma 3 12B at Q4\_K\_M needs about 9.5 GB, and the Intel Arc B580 has 12.0 GB usable at a \~4k context.

# Can I run Gemma 3 12B on an Arc B580?

Gemma 3 12B at Q4\_K\_M needs about 9.5 GB, and the Intel Arc B580 has 12.0 GB usable. That figure is 12 GB of VRAM on the spec sheet, of which 12.0 GB is usable for weights and cache, at 456 GB/s memory bandwidth. Google’s mid-small Gemma 3, sized for 12–16 GB cards that want more than a 4B or 8B. These are estimates from [our formula](https://whatcanirunai.vercel.app/method/), not measured benchmarks.

Quant that fits

Q4\_K\_M Fits with headroom

Memory needed

9.5 GB at Q4\_K\_M, \~4k context

Usable VRAM

12.0 GB of 12 GB VRAM

Est. tokens/sec

37–52 estimate

[gemma-3-12b-it](https://whatcanirunai.vercel.app/models/gemma-3-12b-it/) · [Intel Arc B580](https://whatcanirunai.vercel.app/hardware/arc-b580/) · [Everything this machine runs](https://whatcanirunai.vercel.app/what-can-i-run/arc-b580/) · [Q4 vs Q8 vs FP16](https://whatcanirunai.vercel.app/quantization/)

## Memory at each quant

| Quant    | Need vs 12.0 GB | Verdict       |
| -------- | --------------- | ------------- |
| Q4\_K\_M | 9.5 GB          | Q4Fits        |
| Q8\_0    | 15.9 GB         | Q8Won’t fit   |
| FP16     | 29.0 GB         | FP16Won’t fit |

## Estimated tokens per second

Estimate: **37–52 tokens/sec** at Q4\_K\_M. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from [How we calculate](https://whatcanirunai.vercel.app/method/).

## Context headroom

We do not have a published KV config for this model, so the memory need is the \~4k-context estimate only. Use the [VRAM calculator](https://whatcanirunai.vercel.app/vram-calculator/) to explore longer chats.

## What to do instead

* Q8\_0 needs 15.9 GB and does not fit here. The [GeForce RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/hardware/rtx-4060-ti-16gb/) has 16.0 GB usable, enough for Q8.
* See the [best GPU for this model family](https://whatcanirunai.vercel.app/best-gpu-for/gemma-3/) and the [gemma-3-12b-it model page](https://whatcanirunai.vercel.app/models/gemma-3-12b-it/).

## Other hardware for Gemma 3 12B

* [Gemma 3 12B on an RTX 3060 12GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/rtx-3060-12gb/)Fits
* [Gemma 3 12B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/rtx-3070-ti/)Won’t fit
* [Gemma 3 12B on an RTX 3080](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/rtx-3080-10gb/)Tight
* [Gemma 3 12B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/rtx-4060-ti-16gb/)Tight
* [Gemma 3 12B on an RTX 4070 Ti Super](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/rtx-4070-ti-super/)Tight
* [Gemma 3 12B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/rtx-4090/)Fits

## Other models on an Arc B580

* [Qwen3-32B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/qwen3-32b/arc-b580/)Won’t fit
* [Qwen3-30B-A3B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/qwen3-30b-a3b/arc-b580/)Won’t fit
* [Qwen3.8-27B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/qwen3.8-27b/arc-b580/)Won’t fit
* [Gemma 3 27B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/arc-b580/)Won’t fit
* [Gemma 4 31B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/gemma-4-31b-it/arc-b580/)Won’t fit
* [gpt-oss-20b on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/gpt-oss-20b/arc-b580/)Won’t fit

## Quick answers

Can I run Gemma 3 12B on an Arc B580?

Yes. Gemma 3 12B at Q4\_K\_M needs about 9.5 GB, and the Intel Arc B580 has 12.0 GB usable.

How much VRAM does Gemma 3 12B need?

About 9.5 GB at Q4\_K\_M, 15.9 GB at Q8\_0 and 29.0 GB at FP16, estimated for a \~4k context.

How fast is Gemma 3 12B on an Arc B580?

Our estimate is 37–52 tokens per second at Q4\_K\_M. It is not a measured benchmark.

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