diff --git a/docs/source_zh_cn/benchmark.md b/docs/source_zh_cn/benchmark.md
index 2da80e81d965bf69f532e01dc62aadc14ff017d5..9d66c5267c0c629c5a803c5a78648d9b8e6489a5 100644
--- a/docs/source_zh_cn/benchmark.md
+++ b/docs/source_zh_cn/benchmark.md
@@ -26,3 +26,13 @@
 
 1. 以上数据基于华为云AI开发平台ModelArts测试获得，其中网络包含24个隐藏层，句长为128个token，字典表包含21128个token。  
 2. 业界其他开源框架数据可参考：[BERT For TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT)。
+
+### Wide and Deep
+
+| Network |	Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput |  Speedup |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| wide and deep | data parallel | criteo | 0.6.0 | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 96 | 796892 samples/sec | - |
+|  |  |  |  | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 96 | 48772849 | 0.96 |
+
+1. 以上数据基于华为云AI开发平台ModelArts测试获得。  
+2. 业界其他开源框架数据可参考：[Wide and Deep For TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Recommendation/WideAndDeep)。