[MSLITE][DEVELOP] update lite runtime date for version r1.2 in Mate40（Hisilicon Kirin9000）

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 r1.1, we test a couple of networks on HUAWEI Mate30 (Hisilicon Kirin990) mobile phone, and get the test results below for your reference.
+We test a couple of networks on HUAWEI Mate40 (Hisilicon Kirin9000) mobile phone, and get the test results below for your reference.
 
 | NetWork             | Thread Number | Average Run Time(ms) |
 | ------------------- | ------------- | -------------------- |
-| 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               |
+| basic_squeezenet    | 4             | 7.246                |
+| inception_v3        | 4             | 36.767               |
+| mobilenet_v1_10_224 | 4             | 5.187                |
+| mobilenet_v2_10_224 | 4             | 4.153                |
+| resnet_v2_50        | 4             | 25.071               |

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 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      | 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             |
+我们在HUAWEI Mate40（Hisilicon Kirin9000）手机上，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     | 7.246           |
+| inception_v3        | 4     | 36.767          |
+| mobilenet_v1_10_224 | 4     | 5.187           |
+| mobilenet_v2_10_224 | 4     | 4.153           |
+| resnet_v2_50        | 4     | 25.071          |