Update README.md

README.md

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 A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
 
 ### Runtime-speed Comparisons
-* [Mobile-AI-Benchmarks](https://gitlab.com/llhe/mobile-ai-bench/-/jobs/244960892)
+* [Mobile-AI-Benchmarks](https://gitlab.com/llhe/mobile-ai-bench/-/jobs/258576406)
 * [AI-Benchmarks](http://ai-benchmark.com/ranking_detailed.html)
 
 ### FLOAT32-Support
 | Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks
 | :----------- | :------: | :------------: | :------------: | :------------:
 | [Intel-Caffe](https://github.com/intel/caffe) | CPU (**Intel** optimized) | Caffe | Y | [Link](https://github.com/intel/caffe/wiki/INTEL%C2%AE-OPTIMIZED-CAFFE-PERFORMANCE-AND-CONVERGENCE)
 | [NCNN](https://github.com/Tencent/ncnn) | CPU (**ARM** optimized) | Caffe / pytorch / mxnet / onnx | Y | [Link](https://github.com/Tencent/ncnn/tree/master/benchmark) / [unofficial Link](https://github.com/BUG1989/ncnn-benchmark)
+| [MNN](https://github.com/alibaba/MNN) | CPU (**ARM** optimized) / Mali GPU | Caffe / Tensorflow / onnx | Y | [Link](https://github.com/alibaba/MNN/blob/master/benchmark/result/2019-6-17.md) 
 | [FeatherCNN](https://github.com/Tencent/FeatherCNN) | CPU (**ARM** optimized) | Caffe | N | [Link](https://github.com/Tencent/FeatherCNN/wiki/Benchmarks) / [unofficial Link](https://www.zhihu.com/question/276372408)
 | [Tengine](https://github.com/OAID/Tengine) | CPU (**ARM A72** optimized) | Caffe / mxnet  | Y | [Link](https://github.com/OAID/Tengine/blob/master/doc/benchmark.md)
 | [Tensorflowlite](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite) | CPU (**Android** optimized) | Caffe2 / Tensorflow / onnx  | Y | [Link](https://www.tensorflow.org/mobile/tflite/performance)
@@ -57,6 +58,7 @@ A quick view of high-performance convolution neural networks (CNNs) inference en
 | Framework | Main Platform | Model Compatibility | Detection-Support | Speed Benchmarks
 | :----------- | :------: | :------------: | :------------: | :------------:
 | [BMXNET](https://github.com/hpi-xnor/BMXNet) | CPU (ARM / x86) / GPU | mxnet | Y | [Link](https://arxiv.org/abs/1705.09864)
+| [DABNN](https://github.com/JDAI-CV/dabnn) | CPU (ARM) | Caffe / Tensorflow / onnx | N | [Link](https://github.com/JDAI-CV/dabnn/blob/master/images/comparison_en.png)
 | [Espresso](https://github.com/fpeder/espresso) | GPU | - | N | [Link](https://arxiv.org/abs/1705.09864)
 | [BNN-PYNQ](https://github.com/Xilinx/BNN-PYNQ) | FPGA (Xilinx PYNQ) | - | N | [Link](https://openreview.net/forum?id=Sk6fD5yCb)
 | [FINN](https://github.com/Xilinx/FINN) | FPGA (Xilinx) | - | N | [Link](https://arxiv.org/abs/1612.07119)