# Can I run Phi-4 on an Arc B580? | What Can I Run AI?

> Yes, but it is tight. Phi-4 at Q4_K_M needs about 11.2 GB; Arc B580 has 12.0 GB usable. Estimated tokens/sec and context headroom.

Source: https://whatcanirunai.vercel.app/can-i-run/phi-4/arc-b580/

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**Yes, but it is tight.** Phi-4 at Q4\_K\_M needs about 11.2 GB, and the Intel Arc B580 has 12.0 GB usable at a \~4k context.

# Can I run Phi-4 on an Arc B580?

Phi-4 at Q4\_K\_M needs about 11.2 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. Microsoft’s Phi-4, a dense 14B-class model often compared with other 12B–14B instruct weights. These are estimates from [our formula](https://whatcanirunai.vercel.app/method/), not measured benchmarks.

Quant that fits

Q4\_K\_M Fits, short context only

Memory needed

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

Usable VRAM

12.0 GB of 12 GB VRAM

Est. tokens/sec

31–44 estimate

[phi-4](https://whatcanirunai.vercel.app/models/phi-4/) · [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 | 11.2 GB         | Q4Tight       |
| Q8\_0    | 18.9 GB         | Q8Won’t fit   |
| FP16     | 34.7 GB         | FP16Won’t fit |

## Estimated tokens per second

Estimate: **31–44 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

At Q4\_K\_M, this machine has headroom out to about **4k tokens** under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

__Context headroom for Phi-4 on an Arc B580 at Q4\_K\_M__
| Context | KV cache (FP16) | Total at Q4\_K\_M | Verdict   |
| ------- | --------------- | ----------------- | --------- |
| 4k      | 0.8 GB          | 11.2 GB           | Tight     |
| 8k      | 1.7 GB          | 12.1 GB           | Won’t fit |
| 16k     | 3.4 GB          | 13.7 GB           | Won’t fit |
| 32k     | 6.7 GB          | 17.1 GB           | Won’t fit |
| 64k     | 13.4 GB         | 23.8 GB           | Won’t fit |
| 128k    | 26.8 GB         | 37.2 GB           | Won’t fit |

From the model’s config. Try other sizes in the [VRAM calculator](https://whatcanirunai.vercel.app/vram-calculator/) or see the [context length guide](https://whatcanirunai.vercel.app/context-length/).

## What to do instead

* Run [Gemma 3 12B](https://whatcanirunai.vercel.app/can-i-run/gemma-3-12b-it/arc-b580/) instead (9.5 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
* Q8\_0 needs 18.9 GB and does not fit here. The [Radeon RX 7900 XT](https://whatcanirunai.vercel.app/hardware/rx-7900-xt/) has 20.0 GB usable, enough for Q8.
* Full hardware list: [phi-4](https://whatcanirunai.vercel.app/models/phi-4/). Specs for this machine: [Intel Arc B580](https://whatcanirunai.vercel.app/hardware/arc-b580/).

## Other hardware for Phi-4

* [Phi-4 on an RTX 3060 12GB](https://whatcanirunai.vercel.app/can-i-run/phi-4/rtx-3060-12gb/)Tight
* [Phi-4 on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/phi-4/rtx-3070-ti/)Won’t fit
* [Phi-4 on an RTX 3080](https://whatcanirunai.vercel.app/can-i-run/phi-4/rtx-3080-10gb/)Won’t fit
* [Phi-4 on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/phi-4/rtx-4060-ti-16gb/)Fits
* [Phi-4 on an RTX 4070 Ti Super](https://whatcanirunai.vercel.app/can-i-run/phi-4/rtx-4070-ti-super/)Fits
* [Phi-4 on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/phi-4/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 Phi-4 on an Arc B580?

Yes, but it is tight. Phi-4 at Q4\_K\_M needs about 11.2 GB, and the Intel Arc B580 has 12.0 GB usable.

How much VRAM does Phi-4 need?

About 11.2 GB at Q4\_K\_M, 18.9 GB at Q8\_0 and 34.7 GB at FP16, estimated for a \~4k context.

How fast is Phi-4 on an Arc B580?

Our estimate is 31–44 tokens per second at Q4\_K\_M. It is not a measured benchmark.

What context length can I use?

At Q4\_K\_M, our KV estimate supports up to about 4k tokens before the cache pushes the total over usable memory.

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