diff --git a/docs/advanced_tutorials/inference/INFERENCE.md b/docs/advanced_tutorials/inference/INFERENCE.md
index 0baceb6c03d50826c0d10d5d16a2e58b7a913a00..b15f6c9c0fb876a0c9aa43128793d41eed33ab6b 100644
--- a/docs/advanced_tutorials/inference/INFERENCE.md
+++ b/docs/advanced_tutorials/inference/INFERENCE.md
@@ -23,7 +23,7 @@ python tools/cpp_infer.py --model_path=inference_model/faster_rcnn_r50_1x/ --con
 **注意**
 
 1. 设置shape时必须保持与模型导出时shape大小一致；
-2. `min_subgraph_size`的设置与模型arch相关，对部分arch需要调大该参数，一般设置为40适用于所有模型。适当的调小`min_subgraph_size`会对预测有小幅加速效果，例如YOLO中该参数可设置为3。
+2. `min_subgraph_size`的设置与模型arch相关，对部分arch需要调大该参数，一般设置为40适用于所有模型。适当的调小`min_subgraph_size`会对预测有加速效果，例如YOLO中该参数可设置为3。
 
 ## Paddle环境搭建
 
diff --git a/tools/cpp_demo.yml b/tools/cpp_demo.yml
index 0940c1a84545da8e582f203675992d722809cf93..96f111676d9339676245c662b7c17e34f387e5da 100644
--- a/tools/cpp_demo.yml
+++ b/tools/cpp_demo.yml
@@ -2,7 +2,7 @@
 
 mode: trt_fp32 # trt_fp32, trt_fp16, trt_int8, fluid
 arch: RCNN # YOLO, SSD, RCNN, RetinaNet
-min_subgraph_size: 20 # need 3 for YOLO arch
+min_subgraph_size: 40 # need 3 for YOLO arch
 use_python_inference: False # whether to use python inference
 
 # visualize the predicted image