Can Phi 4 Mini 4B run on RX 9060 8GB?

YES — Runs Great

A76Great

Estimated from fit model

Phi 4 Mini 4B needs ~5.6 GB VRAM. RX 9060 8GB has 8.0 GB. With Q4_K_M quantization, expect ~56 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 5.6 GB, 56.0 tok/s, Runs well

5.6 GB required8.0 GB available

70% VRAM used

Fit status

Runs well

Decode

56.0 tok/s

TTFT

3457 ms

Safe context

42K

Memory

5.6 GB / 8.0 GB

Memory breakdown

Weights2.4 GB

KV Cache1.5 GB

Runtime0.9 GB

Headroom0.8 GB

See how fast it feels

See how fast it feelsPhi 4 Mini 4B on RX 9060 8GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 56.0 tok/s decode · 3.5s TTFT (warm) · 140 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	56.0 tok/s	1886 ms	42K
Coding	A	Runs well	56.0 tok/s	3457 ms	42K
Agentic Coding	A	Tight fit	56.0 tok/s	5029 ms	42K
Reasoning	A	Runs well	56.0 tok/s	4086 ms	42K
RAG	A	Tight fit	56.0 tok/s	6286 ms	42K

Quantization options

How Phi 4 Mini 4B (4B params) fits at each quantization level on RX 9060 8GB (8.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.6 GB	Low	A72
Q3_K_S	3	2.0 GB	Low	A72
NVFP4	4	2.2 GB	Medium	A73
Q4_K_M	4	2.4 GB	Medium	A73
Q5_K_M	5	2.9 GB	High	A74
Q6_K	6	3.3 GB	High	A74
Q8_0Best for your GPU	8	4.3 GB	Very High	A74
F16	16	8.2 GB	Maximum	F0

Get started

Copy-paste commands to run Phi 4 Mini 4B on your machine.

Run

ollama run phi4-mini

Your hardware

More models your RX 9060 8GB can run

Model	Params	Grade	Decode
Qwen 3.5 9B	9B	A	19 tok/s
Qwen 3 8B	8B	A	24.7 tok/s
Nemotron Nano 8B	8B	A	26.2 tok/s
InternVL2 8B	8B	A	26.2 tok/s
Ministral 3 8B	8B	A	24.7 tok/s

Frequently asked questions

Can RX 9060 8GB run Phi 4 Mini 4B?

Yes, RX 9060 8GB can run Phi 4 Mini 4B with a A grade (Runs well). Expected decode speed: 56.0 tok/s.

How much VRAM does Phi 4 Mini 4B need?

Phi 4 Mini 4B (4B parameters) requires approximately 5.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi 4 Mini 4B?

The recommended quantization for Phi 4 Mini 4B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi 4 Mini 4B run at on RX 9060 8GB?

On RX 9060 8GB, Phi 4 Mini 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.

Can RX 9060 8GB run Phi 4 Mini 4B for coding?

For coding workloads, Phi 4 Mini 4B on RX 9060 8GB receives a A grade with 56.0 tok/s and 42K context.

What context window can Phi 4 Mini 4B use on RX 9060 8GB?

On RX 9060 8GB, Phi 4 Mini 4B can safely use up to 42K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.

See all results for RX 9060 8GB See all hardware for Phi 4 Mini 4B

Embed this result▼

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<iframe src="https://willitrunai.com/embed/phi-4-mini-4b-on-rx-9060-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

56.0 tok/s

1886 ms

42K

Coding

Runs well

56.0 tok/s

3457 ms

42K

Agentic Coding

Tight fit

56.0 tok/s

5029 ms

42K

Reasoning

Runs well

56.0 tok/s

4086 ms

42K

RAG

Tight fit

56.0 tok/s

6286 ms

42K

Quant

Bits

VRAM

Quality

Fit

Q2_K

1.6 GB

Low

A72

Q3_K_S

2.0 GB

Low

A72

NVFP4

2.2 GB

Medium

A73

Q4_K_M

2.4 GB

Medium

A73

Q5_K_M

2.9 GB

High

A74

Q6_K

3.3 GB

High

A74

Q8_0Best for your GPU

4.3 GB

Very High

A74

F16

8.2 GB

Maximum

Model

Params

Grade

Decode

Capabilities

19 tok/s

24.7 tok/s

26.2 tok/s

26.2 tok/s

24.7 tok/s

Frequently asked questions

Can RX 9060 8GB run Phi 4 Mini 4B?

Yes, RX 9060 8GB can run Phi 4 Mini 4B with a A grade (Runs well). Expected decode speed: 56.0 tok/s.

How much VRAM does Phi 4 Mini 4B need?

Phi 4 Mini 4B (4B parameters) requires approximately 5.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi 4 Mini 4B?

The recommended quantization for Phi 4 Mini 4B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi 4 Mini 4B run at on RX 9060 8GB?

On RX 9060 8GB, Phi 4 Mini 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.

Can RX 9060 8GB run Phi 4 Mini 4B for coding?

For coding workloads, Phi 4 Mini 4B on RX 9060 8GB receives a A grade with 56.0 tok/s and 42K context.

What context window can Phi 4 Mini 4B use on RX 9060 8GB?

On RX 9060 8GB, Phi 4 Mini 4B can safely use up to 42K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.