Update text to tflite performance page

1 files changed, 15 insertions, 19 deletions

diff --git a/tensorflow/docs_src/mobile/tflite/performance.md b/tensorflow/docs_src/mobile/tflite/performance.md
index 29b087bea7..fee777f8d0 100644
--- a/tensorflow/docs_src/mobile/tflite/performance.md
+++ b/tensorflow/docs_src/mobile/tflite/performance.md
@@ -1,27 +1,23 @@
-# 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.