How fast does Qwen2.5 1.5B run on the Intel Arc Pro B70?

Qwen2.5 1.5B runs at about 216 tokens/s on the Intel Arc Pro B70 (measured, Q4_K_M, SYCL, llama-bench). Based on 1 measured run(s), each linked to its public source.

Does Qwen2.5 1.5B Q4_K_M fit in the Intel Arc Pro B70's memory?

Estimate: the Q4_K_M file is 1.1 GB and needs about 2.1 GB with an ~8K context; the Intel Arc Pro B70 has about 31.5 GB usable, so it fits.

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Qwen2.5 1.5B on the Intel Arc Pro B70

Qwen2.5 1.5B runs at about 216 tokens/s on the Intel Arc Pro B70 (measured, Q4_K_M, SYCL, llama-bench).

Best measured generation216tok/s

Q4_K_M · SYCL · FA on

Prompt processing8,048tok/s

same run

For comparison, our size-scaling estimate for this combination is 381 tok/s.

Every run

Quant	Backend	Generate tok/s	Prompt tok/s	Test	Build / by / notes	Source
Q4_K_M	SYCL FA on	216	8,048	tg128	ec6f7a6a5c PMZFX SYCL on one Arc Pro B70, context 4096, KV f16/f16; build b8840-12-gec6f7a6a5-dirty: the author's notes say the local change is a Q2_K DMMV work-in-progress patch	PMZFX intel-arc-pro-b70-benchmarks (MIT)

tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128. "decode, llama-server" = single-stream generation speed measured against a running llama-server (no speculative decoding).

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