diff --git a/docs/source_en/benchmark.md b/docs/source_en/benchmark.md
index bd1b0becf3bb60a93eb5562eed374e6b22f55063..7524dc87001a50bbbe7bf88bcc372159a25218eb 100644
--- a/docs/source_en/benchmark.md
+++ b/docs/source_en/benchmark.md
@@ -3,7 +3,7 @@
This document describes the MindSpore benchmarks.
-For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
+For details about the MindSpore networks, see [Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
## Training Performance
@@ -32,7 +32,7 @@ For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee
| Network | Network Type | Dataset | MindSpore Version | Resource | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
-| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - |
+| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 CPU:192 Cores | Mixed | 16000*8 | 4872849 samples/sec | 0.76 |
1. The preceding performance is obtained based on Atlas 800, and the model is data parallel.
@@ -42,7 +42,7 @@ For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee
| Network | Network Type | Dataset | MindSpore Version | Resource | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
-| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 1000 | 68715 samples/sec | - |
+| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 1000 | 68715 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 CPU:192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 |
| | | | | Ascend: 16 * Ascend 910 CPU:384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 |
| | | | | Ascend: 32 * Ascend 910 CPU:768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 |
diff --git a/docs/source_zh_cn/benchmark.md b/docs/source_zh_cn/benchmark.md
index 1f4833f0c63fc274323bf0d5483d6690b38cf1b4..66dc0df11036064e2bbe18c4c16c19bd5af7213d 100644
--- a/docs/source_zh_cn/benchmark.md
+++ b/docs/source_zh_cn/benchmark.md
@@ -2,7 +2,7 @@
-本文介绍MindSpore的基准性能。MindSpore预训练模型可参考[Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。
+本文介绍MindSpore的基准性能。MindSpore网络定义可参考[Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。
## 训练性能
@@ -31,7 +31,7 @@
| Network | Network Type | Dataset | MindSpore Version | Resource | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
-| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - |
+| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 CPU:192 Cores | Mixed | 16000*8 | 4872849 samples/sec | 0.76 |
1. 以上数据基于Atlas 800测试获得,且网络模型为数据并行。
@@ -41,7 +41,7 @@
| Network | Network Type | Dataset | MindSpore Version | Resource | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
-| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 8000 | 68715 samples/sec | - |
+| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 CPU:24 Cores | Mixed | 8000 | 68715 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 CPU:192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 |
| | | | | Ascend: 16 * Ascend 910 CPU:384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 |
| | | | | Ascend: 32 * Ascend 910 CPU:768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 |