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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/Qwen2.5 1.5B Instruct/on Intel Arc Pro B50 16GB

Can it run?

Can Intel Arc Pro B50 16GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

121.0 tok/s

TTFT

1601 ms

Safe context

57K

Memory

4.5 GB / 16.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well121.0 tok/s2328 ms113K
ChatCRuns well121.0 tok/s873 ms28K
CodingCRuns well121.0 tok/s1601 ms57K
RAGCRuns well121.0 tok/s2910 ms113K
ReasoningCRuns well121.0 tok/s1892 ms57K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on Intel Arc Pro B50 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.6 GB
LowD30
Q3_K_S
3
0.7 GB
LowD30
NVFP4
4
0.8 GB
MediumD31
Q4_K_M
4
0.9 GB
MediumD31
Q5_K_M
5
1.1 GB
HighD31
Q6_K
6
1.2 GB
HighD31
Q8_0
8
1.6 GB
Very HighD32
F16Best for your GPU
16
3.1 GB
MaximumD34

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMacBook Air M4 24GBBudget pick
C86.4 tok/s decode

~$1,099 MSRP

AppleMacBook Pro M4 Pro 24GBBest value
C210.2 tok/s decode

~$1,999 MSRP

See all results for Intel Arc Pro B50 16GBSee all hardware for Qwen2.5 1.5B Instruct