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

* add chapter for performance reference

* rm unsupported GPU
This commit is contained in:
Neo Zhang
2026-05-19 09:44:51 +03:00
committed by GitHub
parent f1c1c5c057
commit aabee047d8
2 changed files with 11 additions and 4 deletions
+1 -1
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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 | | [Metal](docs/build.md#metal-build) | Apple Silicon |
| [BLAS](docs/build.md#blas-build) | All | | [BLAS](docs/build.md#blas-build) | All |
| [BLIS](docs/backend/BLIS.md) | 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 | | [OpenVINO [In Progress]](docs/backend/OPENVINO.md) | Intel CPUs, GPUs, and NPUs |
| [MUSA](docs/build.md#musa) | Moore Threads GPU | | [MUSA](docs/build.md#musa) | Moore Threads GPU |
| [CUDA](docs/build.md#cuda) | Nvidia GPU | | [CUDA](docs/build.md#cuda) | Nvidia GPU |
+10 -3
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@@ -5,6 +5,7 @@
- [News](#news) - [News](#news)
- [OS](#os) - [OS](#os)
- [Hardware](#hardware) - [Hardware](#hardware)
- [Performance Reference](#performance-reference)
- [Docker](#docker) - [Docker](#docker)
- [Linux](#linux) - [Linux](#linux)
- [Windows](#windows) - [Windows](#windows)
@@ -51,9 +52,8 @@ The packages for FP32 and FP16 would have different accuracy and performance on
## News ## News
- 2026.04 - 2026.04-05
- Optimize mul_mat by reorder feature for data type: Q4_K, Q5_K, Q6_K, Q8_0.
- Optimize mul_mat by reorder feature for data type: Q4_K, Q5_K, Q_K, Q8_0.
- Fused MoE. - Fused MoE.
- Upgrate CI and built package for oneAPI 2025.3.3, support Ubuntu 24.04 built package. - 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 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 ## Docker
The docker build option is currently limited to *Intel GPU* targets. The docker build option is currently limited to *Intel GPU* targets.