[SCYL] add chapter for performance reference in SYCL.md (#23315)

* add chapter for performance reference

* rm unsupported GPU
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Neo Zhang 2026-05-19 14:44:51 +08:00 committed by GitHub
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@ -280,7 +280,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
| [Metal](docs/build.md#metal-build) | Apple Silicon |
| [BLAS](docs/build.md#blas-build) | All |
| [BLIS](docs/backend/BLIS.md) | All |
| [SYCL](docs/backend/SYCL.md) | Intel and Nvidia GPU |
| [SYCL](docs/backend/SYCL.md) | Intel GPU |
| [OpenVINO [In Progress]](docs/backend/OPENVINO.md) | Intel CPUs, GPUs, and NPUs |
| [MUSA](docs/build.md#musa) | Moore Threads GPU |
| [CUDA](docs/build.md#cuda) | Nvidia GPU |

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@ -5,6 +5,7 @@
- [News](#news)
- [OS](#os)
- [Hardware](#hardware)
- [Performance Reference](#performance-reference)
- [Docker](#docker)
- [Linux](#linux)
- [Windows](#windows)
@ -51,9 +52,8 @@ The packages for FP32 and FP16 would have different accuracy and performance on
## News
- 2026.04
- Optimize mul_mat by reorder feature for data type: Q4_K, Q5_K, Q_K, Q8_0.
- 2026.04-05
- Optimize mul_mat by reorder feature for data type: Q4_K, Q5_K, Q6_K, Q8_0.
- Fused MoE.
- Upgrate CI and built package for oneAPI 2025.3.3, support Ubuntu 24.04 built package.
@ -150,6 +150,13 @@ On older Intel GPUs, you may try [OpenCL](/docs/backend/OPENCL.md) although the
NA
## Performance Reference
To get the supported LLMs, GPUs, and performance reference, please check [Performance of llama.cpp on Intel GPU with SYCL backend](https://github.com/ggml-org/llama.cpp/discussions/23313).
You could update your test result in it directly.
## Docker
The docker build option is currently limited to *Intel GPU* targets.