Prerequisites
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
Prerequisites
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:
but from the recent news I read:
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:
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