diff --git a/configs/rtdetr/README.md b/configs/rtdetr/README.md
index a30b01fabc6a112ef159de39d1db7d6b9ed36050..cf5989ae93d71b3cd2096fa199907508e31f2268 100644
--- a/configs/rtdetr/README.md
+++ b/configs/rtdetr/README.md
@@ -149,6 +149,19 @@ trtexec --onnx=./rtdetr_r50vd_6x_coco.onnx \
 -
 </details>
 
+## 量化压缩
+
+详细步骤请参考：[RT-DETR自动化量化压缩](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/deploy/auto_compression#rt-detr)
+
+| 模型              | Base mAP | ACT量化mAP | TRT-FP32 | TRT-FP16 |  TRT-INT8  |                           配置文件                           |                           量化模型                           |
+| :---------------- | :------- | :--------: | :------: | :------: | :--------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
+| RT-DETR-R50       | 53.1     |    53.0    | 32.05ms  |  9.12ms  | **6.96ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_r50vd_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_r50vd_6x_coco_quant.tar) |
+| RT-DETR-R101      | 54.3     |    54.1    | 54.13ms  | 12.68ms  | **9.20ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_r101vd_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_r101vd_6x_coco_quant.tar) |
+| RT-DETR-HGNetv2-L | 53.0     |    52.9    | 26.16ms  |  8.54ms  | **6.65ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_hgnetv2_l_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_hgnetv2_l_6x_coco_quant.tar) |
+| RT-DETR-HGNetv2-X | 54.8     |    54.6    | 49.22ms  | 12.50ms  | **9.24ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_hgnetv2_x_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_hgnetv2_x_6x_coco_quant.tar) |
+
+- 上表测试环境：Tesla T4，TensorRT 8.6.0，CUDA 11.7，batch_size=1。
+- 也可直接参考：[PaddleSlim自动化压缩示例](https://github.com/PaddlePaddle/PaddleSlim/tree/develop/example/auto_compression/detection)
 
 ## 其他