Intel Arc Pro B70 for local LLMs

8 measured results from 3 builds, each linked to its source.

Can it run? Gemma 4 26B-A4B on Intel Arc Pro B70 Ornith 1.5 35B-A3B on Intel Arc Pro B70 Qwen3.6 35B-A3B on Intel Arc Pro B70 Qwen3.8 27B on 2x Intel Arc Pro B70 Qwen3.8 27B on Intel Arc Pro B70 Qwen3.8 Flash-Next on 2x Intel Arc Pro B70

All builds with the Intel Arc Pro B70

All measured results

Hide speculative-decoding results ⚡ (MTP, DFlash, DSpark and similar draft-and-verify methods give much higher tok/s on predictable text and are not comparable 1:1 with plain decode)

All Intel Arc Pro B70 builds: see also all GPUs · best LLMs by memory size · download the dataset.

FAQ

How fast is the Intel Arc Pro B70 for local LLMs?

The fastest plain-decode result we have is 122.16 tok/s on Gemma 4 26B-A4B (UD-Q8_K_XL, llama.cpp SYCL (pinned build, oneAPI 2026.0)) in Single Intel Arc Pro B70 32 GB (neural.download lab). Speed depends heavily on the model, quant and engine, so compare like with like in the table. RigBase lists 8 measured results from 3 builds.

How much memory does the Intel Arc Pro B70 have?

32 GB per card.

Which models have been measured on the Intel Arc Pro B70?

Gemma 4 26B-A4B, Ornith 1.5 35B-A3B, Qwen3.6 35B-A3B, Qwen3.8 27B, Qwen3.8 Flash-Next.

Where do these numbers come from?

Every row links to a build page with its original public source (benchmark logs, READMEs, forum posts). RigBase does not re-run the benchmarks. Results marked ⚡ use speculative decoding and are not comparable 1:1 with plain decode.