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Torch Xpu Bench

plugin

Benchmark a Hugging Face model on an Intel GPU through pure PyTorch + Transformers, single-process, no HTTP server. Measures generate() throughput in tokens/sec, time-to-first-token, decode-step latency, and peak XPU memory. Also covers diffusion and encoder-only models via references/non-llm-snippets.md. Use after model-can-it-fit to validate predicted memory against torch.xpu.maxmemoryallocated().

Works with: Claude Code (native)
native: this artifact type is that client's own format

Install (Claude Code):

/plugin marketplace add intel/gpu-ai-skills
/plugin install torch-xpu-bench@intel-model-skillpack

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Torch Xpu Bench scores 45 today. Pro keeps the series, so you can see whether that is a project getting better or one on its way down.

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source ↗  ·  plugin:intel/gpu-ai-skills/torch-xpu-bench

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Measured 2026-09-13  ·  scorer s5  ·  how  ·  something wrong here?