Can Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM run MiniCPM5 2B?

24 GB VRAM + 64 GB RAM · 456 GB/s memory bandwidth · MiniCPM5 2B has 2.5B parameters.

Short answer

Yes, excellent for chat and acceptable or better for every workload we test.

Best quantization for chat: Q8_0 (2.5 GB of weights) on LM Studio. Generation: 65–100 tok/s, leaving about 19 GB free for your other apps.

How it rates for each workload

Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.

Workload	Verdict	Quant	Generation	First reply	Context
Chatwith Open WebUI	Excellent	Q8_0	65–100 tok/s	under 1 s	8K	Details
Coding questionswith Continue	Comfortable	Q8_0	60–100 tok/s	≈4 s	16K	Details
Coding in a repositorywith Aider	Acceptable	Q8_0	50–85 tok/s	≈10 s	32K	Details
Agentic codingwith OpenCode	Acceptable	Q8_0	50–80 tok/s	≈15 s	32K	Details
Long documents (64K)with Open WebUI	Comfortable	Q8_0	35–60 tok/s	≈55 s	64K	Details

Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate

Other models for Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM

The best-rated models for chat on this machine.

Everything Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM can run

Cheapest machines for MiniCPM5 2B

Hardware rated comfortable or better for chat, lowest price first.

Same chip, other memory: 32 GB

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup