Back to directory

Intel Arc Pro B70 - Benchmarks & Performance Data

A collection of measured benchmark results for the Intel Arc Pro B70 GPU covering LLM inference speed and power draw, video generation, and dual-card scaling, from real single- and dual-card runs.

Intel Arc Pro B70 - Benchmarks & Performance Data

These benchmarks test llama.cpp with its SYCL and Vulkan backends and vLLM's XPU support, plus several video-generation pipelines, on a single Intel Arc Pro B70 card with 32GB of memory and on a dual-card configuration with 64GB total. The project describes public data on this card as scarce, so it collects the numbers, the rough edges hit along the way, and the fixes found for them.

A results table reports tokens per second for prompt processing and generation, average power draw and tokens per joule across dense and mixture-of-experts models ranging from about 1.5 billion to 80 billion parameters, all measured on one specific, commit-pinned llama.cpp build with power telemetry captured during every run. It is licensed MIT.

More in Inference

See all 770
  • OpenDecision

    deepanwadhwa.github.io

    An open-source Python package that answers typed questions about application state or documents using a local natural-language-inference model, returning structured choice, score, yes/no or evidence-relation values instead of free text.

  • Lifeboat

    iterate.ai

    A local inference server that puts an OpenAI- and Anthropic-compatible API in front of open-weight language models running on hardware you control, from a laptop to a GPU cluster.

  • Claude S40

    github.com

    An unofficial Claude chat client for 2007-era Nokia Series 40 phones, built as a Java ME app plus a small Go relay server, with web search, reading mode and saved chats.