!10058 [MS][LITE][CPU]update data

From: @fuzhiye
Reviewed-by: @hangangqiang,@zhang_xue_tong
Signed-off-by: @zhang_xue_tong

mindspore/lite/README.md

@@ -57,12 +57,12 @@ For more details please check out our [MindSpore Lite Architecture Guide](https:
 
 ## MindSpore Lite benchmark test result
 
-Base on MindSpore r0.7, we test a couple of networks on HUAWEI Mate30 (Hisilicon Kirin990) mobile phone, and get the test results below for your reference.
+Base on MindSpore r1.1, we test a couple of networks on HUAWEI Mate30 (Hisilicon Kirin990) mobile phone, and get the test results below for your reference.
 
 | NetWork             | Thread Number | Average Run Time(ms) |
 | ------------------- | ------------- | -------------------- |
-| basic_squeezenet    | 4             | 9.10                 |
-| inception_v3        | 4             | 69.361               |
-| mobilenet_v1_10_224 | 4             | 7.137                |
-| mobilenet_v2_10_224 | 4             | 5.569                |
-| resnet_v2_50        | 4             | 48.691               |
+| basic_squeezenet    | 4             | 7.569                |
+| inception_v3        | 4             | 44.869               |
+| mobilenet_v1_10_224 | 4             | 6.320                |
+| mobilenet_v2_10_224 | 4             | 4.679                |
+| resnet_v2_50        | 4             | 30.375               |

mindspore/lite/README_CN.md

@@ -65,12 +65,12 @@ MindSpore Lite是MindSpore推出的端云协同的、轻量化、高性能AI推
 
 ## MindSpore Lite性能参考数据
 
-我们在HUAWEI Mate30（Hisilicon Kirin990）手机上，基于MindSpore r0.7，测试了一组端侧常见网络的性能数据，供您参考：
+我们在HUAWEI Mate30（Hisilicon Kirin990）手机上，基于MindSpore r1.1，测试了一组端侧常见网络的性能数据，供您参考：
 
 | 网络                | 线程数 | 平均推理时间(毫秒) |
 | ------------------- | ------ | ------------------ |
-| basic_squeezenet    | 4      | 9.10               |
-| inception_v3        | 4      | 69.361             |
-| mobilenet_v1_10_224 | 4      | 7.137              |
-| mobilenet_v2_10_224 | 4      | 5.569              |
-| resnet_v2_50        | 4      | 48.691             |
+| basic_squeezenet    | 4      | 7.569              |
+| inception_v3        | 4      | 44.869             |
+| mobilenet_v1_10_224 | 4      | 6.320              |
+| mobilenet_v2_10_224 | 4      | 4.679              |
+| resnet_v2_50        | 4      | 30.375             |