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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Llama 3.2 11B Vision/on Intel Arc B580 12GB

Can it run?

Can Intel Arc B580 12GB run Llama 3.2 11B Vision?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

32.6 tok/s

TTFT

5935 ms

Safe context

16K

Memory

10.8 GB / 12.0 GB

Memory breakdown

Weights6.7 GB
KV Cache1.7 GB
Runtime1.2 GB
Headroom1.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns with offload (needs ~0.3 GB host RAM)31.5 tok/s8945 ms16K
ChatCTight fit32.6 tok/s3237 ms10K
CodingCTight fit32.6 tok/s5935 ms16K
RAGCRuns with offload (needs ~0.3 GB host RAM)31.5 tok/s11181 ms16K
ReasoningCTight fit32.6 tok/s7014 ms16K

Quantization options

How Llama 3.2 11B Vision (11B params) fits at each quantization level on Intel Arc B580 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
4.3 GB
LowD37
Q3_K_S
3
5.4 GB
LowD39
NVFP4
4
6.2 GB
MediumC40
Q4_K_M
4
6.7 GB
MediumC41
Q5_K_MBest for your GPU
5
7.9 GB
HighC43
Q6_K
6
9.0 GB
HighC44
Q8_0
8
11.8 GB
Very HighC44
F16
16
22.5 GB
MaximumF0

Get started

Ollama
ollama run llama-3.2-11b-vision
HuggingFace
huggingface-cli download llama-3.2-11b-vision

Upgrade options

Hardware that runs Llama 3.2 11B Vision well

AMDRX 7600 XT 16GBBudget pick
C24.9 tok/s decode

~$329 MSRP

IntelIntel Arc A770 16GBBest value
C37.6 tok/s decode

~$349 MSRP

NVIDIARTX 4080 Super 16GBBiggest leap
B91 tok/s decode

~$999 MSRP

IntelIntel Arc Pro B50 16GBIntel upgrade
C18 tok/s decode

 

See all results for Intel Arc B580 12GBSee all hardware for Llama 3.2 11B Vision