diff --git a/docs/cn/build_and_install/rknpu2.md b/docs/cn/build_and_install/rknpu2.md
index 33ee596fe..f432c94ce 100644
--- a/docs/cn/build_and_install/rknpu2.md
+++ b/docs/cn/build_and_install/rknpu2.md
@@ -11,5 +11,5 @@ RKNPU2指的是Rockchip推出的RK356X以及RK3588系列芯片的NPU。
 * [RKNPU2开发环境搭建](../faq/rknpu2/environment.md)
 * [编译FastDeploy](../faq/rknpu2/build.md)
 * [RKNN模型导出建议](../faq/rknpu2/export.md)
-* [RKNPU2模型部署demo](../faq/rknpu2/rknpu2.md)
+* [RKNPU2模型速度一览表](../faq/rknpu2/rknpu2.md)
 * [RKNPU2 常见问题合集](../faq/rknpu2/issues.md)
diff --git a/docs/cn/faq/rknpu2/rknpu2.md b/docs/cn/faq/rknpu2/rknpu2.md
index 81f35bd43..99554e5ba 100644
--- a/docs/cn/faq/rknpu2/rknpu2.md
+++ b/docs/cn/faq/rknpu2/rknpu2.md
@@ -13,18 +13,20 @@ ONNX模型不能直接调用RK芯片中的NPU进行运算，需要把ONNX模型
 * ARM CPU使用ONNX框架进行测试
 * NPU均使用单核进行测试
 
-| 任务场景                 | 模型                                                                                       | 模型版本(表示已经测试的版本)          | ARM CPU/RKNN速度(ms) |
-|----------------------|------------------------------------------------------------------------------------------|--------------------------|--------------------|
-| Detection            | [Picodet](../../../../examples/vision/detection/paddledetection/rknpu2/README.md)        | Picodet-s                | 162/112            |
-| Detection            | [RKYOLOV5](../../../../examples/vision/detection/rkyolo/README.md)                       | YOLOV5-S-Relu(int8)      | -/57               |
-| Detection            | [RKYOLOX](../../../../examples/vision/detection/rkyolo/README.md)                        | -                        | -/-                |
-| Detection            | [RKYOLOV7](../../../../examples/vision/detection/rkyolo/README.md)                       | -                        | -/-                |
-| Segmentation         | [Unet](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md)              | Unet-cityscapes          | -/-                |
-| Segmentation         | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | portrait(int8)           | 133/43             |
-| Segmentation         | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | human(int8)              | 133/43             |
-| Face Detection       | [SCRFD](../../../../examples/vision/facedet/scrfd/rknpu2/README.md)                      | SCRFD-2.5G-kps-640(int8) | 108/42             |
-| Face FaceRecognition | [InsightFace](../../../../examples/vision/faceid/insightface/rknpu2/README_CN.md)        | ms1mv3_arcface_r18(int8) | 81/12              |
-| Classification       | [ResNet](../../../../examples/vision/classification/paddleclas/rknpu2/README.md)         | ResNet50_vd              | -/33               |
+| 任务场景                 | 模型                                                                                               | 模型版本(表示已经测试的版本)          | ARM CPU/RKNN速度(ms) |
+|----------------------|--------------------------------------------------------------------------------------------------|--------------------------|--------------------|
+| Detection            | [Picodet](../../../../examples/vision/detection/paddledetection/rknpu2/README.md)                | Picodet-s                | 162/112            |
+| Detection            | [PaddleDetection Yolov8](../../../../examples/vision/detection/paddledetection/rknpu2/README.md) | yolov8-n                 | -/100              |
+| Detection            | [PPYOLOE](../../../../examples/vision/detection/paddledetection/rknpu2/README.md)                | ppyoloe-s(int8)          | -/77               |
+| Detection            | [RKYOLOV5](../../../../examples/vision/detection/rkyolo/README.md)                               | YOLOV5-S-Relu(int8)      | -/57               |
+| Detection            | [RKYOLOX](../../../../examples/vision/detection/rkyolo/README.md)                                | -                        | -/-                |
+| Detection            | [RKYOLOV7](../../../../examples/vision/detection/rkyolo/README.md)                               | -                        | -/-                |
+| Segmentation         | [Unet](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md)                      | Unet-cityscapes          | -/-                |
+| Segmentation         | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md)         | portrait(int8)           | 133/43             |
+| Segmentation         | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md)         | human(int8)              | 133/43             |
+| Face Detection       | [SCRFD](../../../../examples/vision/facedet/scrfd/rknpu2/README.md)                              | SCRFD-2.5G-kps-640(int8) | 108/42             |
+| Face FaceRecognition | [InsightFace](../../../../examples/vision/faceid/insightface/rknpu2/README_CN.md)                | ms1mv3_arcface_r18(int8) | 81/12              |
+| Classification       | [ResNet](../../../../examples/vision/classification/paddleclas/rknpu2/README.md)                 | ResNet50_vd              | -/33               |
 
 ## 预编译库下载