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add readme for tflite bench demo
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@ysh329
ysh329 committed Sep 6, 2020
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```

目前支持模型有限，见：[tnn-models](https://github.com/AI-performance/tnn-models)、[mnn-models](https://github.com/AI-performance/mnn-models)、[ncnn-models](https://github.com/AI-performance/ncnn-models)。
目前支持模型有限，见：[tnn-models](https://github.com/AI-performance/tnn-models)、[mnn-models](https://github.com/AI-performance/mnn-models)、[ncnn-models](https://github.com/AI-performance/ncnn-models)、[tflite-models](https://github.com/AI-performance/tflite-models)。

## bench结果示例

- [mnn bench result demo](https://github.com/AI-performance/embedded-ai.bench/blob/master/docs/bench-demo/mnn-(HEAD%20detached%20at%201.0.0)-0df31a8-android-armv7android-armv8-20200723-221707.bench.csv)
- [ncnn bench result demo](https://github.com/AI-performance/embedded-ai.bench/blob/master/docs/bench-demo/ncnn-master-66c8c7e-android-armv7android-armv8-20200723-221633.bench.csv)
- [tnn bench result demo](https://github.com/AI-performance/embedded-ai.bench/blob/master/docs/bench-demo/tnn-master-2aa6b9f-android-armv7android-armv8-20200723-215922.bench.csv)
- [tflite bench result demo](https://github.com/AI-performance/embedded-ai.bench/blob/master/docs/bench-demo/tflite-master-de8ecf45-android-armv7-20200906-235209.bench.csv)


## 项目架构
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25 changes: 25 additions & 0 deletions docs/bench-demo/tflite-master-de8ecf45-android-armv7-20200906-235209.bench.csv
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framework,branch,commit_id,model_name,platform,soc_code,soc_name,cpu,gpu,npu,product,power_mode,backend,cpu_thread_num,avg,max,min,std_dev,battery_level,system_version,repeats,warmup,imei
tflite,master-de8ecf45,bb3c460114,squeezenet,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM,1,86.8632,89.854,85.812,1.229,98,10,2,20,865774040734836
tflite,master-de8ecf45,bb3c460114,squeezenet,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM,2,51.324,52.527,50.011,0.791,98,10,2,20,865774040734836
tflite,master-de8ecf45,bb3c460114,squeezenet,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM,4,32.9617,36.802,32.186,0.861,98,10,2,20,865774040734836
tflite,master-de8ecf45,bb3c460114,squeezenet,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM_XNNPACK,1,74.5356,82.295,71.058,3.768,98,10,2,20,865774040734836
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tflite,master-de8ecf45,bb3c460114,squeezenet,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM_XNNPACK,4,26.0711,29.069,25.558,0.588,98,10,2,20,865774040734836
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tflite,master-de8ecf45,bb3c460114,tf_mobilenetv2,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM,1,44.3198,51.017,42.812,1.867,98,10,2,20,865774040734836
tflite,master-de8ecf45,bb3c460114,tf_mobilenetv2,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM,2,24.904,26.714,24.148,0.614,98,10,2,20,865774040734836
tflite,master-de8ecf45,bb3c460114,tf_mobilenetv2,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM,4,16.0992,21.178,15.312,0.979,98,10,2,20,865774040734836
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tflite,master-de8ecf45,bb3c460114,tf_mobilenetv2,android-armv7,kirin820,kirin820,[email protected][email protected][email protected],Mali-G57 MP6,D110@Lite,TEL-AN00,no_bind,ARM_XNNPACK,4,12.4234,12.672,12.272,0.073,98,10,2,20,865774040734836
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