message: Update documentation to remove outdated benchmark condition
diff: @@ -49,8 +49,8 @@ Inception_V4_quant | [paper](https://arxiv.org/abs/1602.07261), [tflite
  Note: The model files include both TF Lite FlatBuffer and Tensorflow frozen
  Graph.
  -Note: Performance numbers were benchmarked on Pixel-2 using single thread large
  -core. Accuracy numbers were computed using the
  +Note: Performance numbers were benchmarked on Pixel-3 (Android 10).
  +Accuracy numbers were computed using the
  [TFLite accuracy tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/accuracy/ilsvrc).
  ### Floating point models
  @@ -105,8 +105,9 @@ MnasNet_1.0_192 | [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https:
  MnasNet_1.0_224 | [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_224_09_07_2018.tgz) | 17 Mb | 74.08% | 91.75% | 19.4 ms | 8.7 ms | 19 ms
  MnasNet_1.3_224 | [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.3_224_09_07_2018.tgz) | 24 Mb | 75.24% | 92.55% | 27.9 ms | 10.6 ms | 22.0 ms
  -Note: Performance numbers were benchmarked on Pixel-1 using single thread large
  -BIG core.
  +Note: Performance numbers were benchmarked on Pixel-3 (Android 10).
  +Accuracy numbers were computed using the
  +[TFLite accuracy tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/accuracy/ilsvrc).
  ## Object detection
  