message: Update text to tflite performance page
diff: -# Performance Benchmark numbers
  +# Performance
  -This document contains the performance benchmark numbers for running a few well
  +This document lists TensorFlow Lite performance benchmarks when running well
  known models on some Android and iOS devices.
  -The benchmark numbers were generated by running the [TFLite benchmark
  -binary](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark)
  -on Android and running the [iOS benchmark
  -app](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark/ios)
  -on iOS.
  +These performance benchmark numbers were generated with the
  +[Android TFLite benchmark binary](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark)
  +and the [iOS benchmark app](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark/ios).
  -# Android benchmarks
  +# Android performance benchmarks
  -When running Android benchmarks, the CPU affinity is set to use big cores on the
  -device to reduce variance (see
  -[details](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark#reducing-variance-between-runs-on-android)).
  +For Android benchmarks, the CPU affinity is set to use big cores on the device to
  +reduce variance (see [details](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark#reducing-variance-between-runs-on-android)).
  -Models are assumed to have been downloaded from the link, unzipped and pushed to
  -`/data/local/tmp/tflite_models` folder. The benchmark binary is built according
  -to instructions listed
  -[here](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark#on-android).
  -and is assumed to have been pushed to `/data/local/tmp`.
  +It assumes that models were download and unzipped to the
  +`/data/local/tmp/tflite_models` directory. The benchmark binary is built
  +using [these instructions](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark#on-android)
  +and assumed in the `/data/local/tmp` directory.
  -The following command was used to run the benchmark:
  +To run the benchmark:
  ```
  adb shell taskset ${CPU_MASK} /data/local/tmp/benchmark_model \
  @@ -32,7 +28,7 @@ adb shell taskset ${CPU_MASK} /data/local/tmp/benchmark_model \
  --use_nnapi=false
  ```
  -where `${GRAPH}` is the name of model and `${CPU_MASK}` is the CPU affinity
  +Here, `${GRAPH}` is the name of model and `${CPU_MASK}` is the CPU affinity
  chosen according to the following table:
  Device | CPU_MASK |
  @@ -120,7 +116,7 @@ Pixel xl | 0c |
  # iOS benchmarks
  -For running iOS benchmarks, the [benchmark
  +To run iOS benchmarks, the [benchmark
  app](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark/ios)
  was modified to include the appropriate model and `benchmark_params.json` was
  modified to set `num_threads` to 1.
  