Skip to content

Feature Request: improve SYCL docs - performance comparison & fix inconsistency to project-level README.md #23195

Description

@kha84

Prerequisites

  • I am running the latest code. Mention the version if possible as well.
  • I carefully followed the README.md.
  • I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
  • I reviewed the Discussions, and have a new and useful enhancement to share.

Remove from the project-level README.md the mentioning of Nvidia being supported by SYCL

Currently the top project-level README.md page says SYCL backend can be used for Nvidia:

Backend Target devices
... ...
SYCL Intel and Nvidia GPU
... ...

but from the recent news I read:

2026.02
Remove support for Nvidia & AMD GPU, because the oneAPI plugin for Nvidia & AMD GPU is unavailable: download/installation channels are out of work. User can't build up the software for Nvidia & AMD GPU.

This is inconsistecy

Add some short performance comparison table for the reference

It would greatly help to newcomers to understand what to expect from performance standpoint, when SYCL is used as a backend, compared say to Vulcan. I'm not expecting a wide-range comparison, but just few typical models would help a lot, like this:

card model backend pp512 tg128
Arc b580 Qwen3.5-9B-Q4_K_M.gguf Vulcan ??? ???
Arc b580 Qwen3.5-9B-Q4_K_M.gguf OpenVino ??? ???
Arc b580 Qwen3.5-9B-Q4_K_M.gguf SYCL ??? ???

Without this table, people will be running llama.cpp with using SYCL backend blindly, questioning if they're reaching the reference performance or not, wasting their time on troubleshooting issues they might not have. Having reference performance numbers will benefit community.

NB: I do not own the Intel card unfortunately, otherwise I would gladly help you to benchmark it

Motivation

With recent release of powerful Intel Panther Lake APUs, there will be more interest from community in various backends that are focused on support Intel iGPU / dGPU

Possible Implementation

No response

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Type

    No type

    Fields

    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions