# List of Hosted Models

## Image classification (Float Models)

Model Name          | Paper_Model_Files^                                                                                                                                                                        | Model_Size | Top-1 Accuracy | Top-5 Accuracy | TF Lite Performance^^ | Tensorflow Performance
------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ---------: | -------------: | -------------: | --------------------: | ---------------------:
DenseNet            | [paper](https://arxiv.org/abs/1608.06993), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/densenet_2018_04_27.tgz)            | 43.6 Mb    | 64.2%          | 85.6%          | 894 ms                | 1262 ms
SqueezeNet          | [paper](https://arxiv.org/abs/1602.07360), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz)          | 5.0 Mb     | 49.0%          | 72.9%          | 224 ms                | 255 ms
NASNet mobile       | [paper](https://arxiv.org/abs/1707.07012), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_mobile_2018_04_27.tgz)       | 21.4 Mb    | 72.2%          | 90.6%          | 261 ms                | 389 ms
NASNet large        | [paper](https://arxiv.org/abs/1707.07012), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/nasnet_large_2018_04_27.tgz)        | 355.3 Mb   | 82.1%          | 95.8%          | 6697 ms               | 7940 ms
ResNet_V2_50        | [paper](https://arxiv.org/abs/1603.05027), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/resnet_v2_50_2018_04_27.tgz)        | 102.3 Mb   | 68.1%          | 88.4%          | 942 ms                | 1008 ms
ResNet_V2_101       | [paper](https://arxiv.org/abs/1603.05027), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/resnet_v2_101_2018_04_27.tgz)       | 178.3 Mb   | 70.4%          | 89.6%          | 1880 ms               | 1970 ms
Inception_V3        | [paper](http://arxiv.org/abs/1512.00567), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v3_2018_04_27.tgz)         | 95.3 Mb    | 76.9%          | 93.5%          | 1433 ms               | 1522 ms
Inception_V4        | [paper](http://arxiv.org/abs/1602.07261), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v4_2018_04_27.tgz)         | 170.7 Mb   | 79.6%          | 94.6%          | 2986 ms               | 3139 ms
Inception_ResNet_V2 | [paper](https://arxiv.org/abs/1602.07261), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_resnet_v2_2018_04_27.tgz) | 121.0 Mb   | 76.8%          | 93.5%          | 2731 ms               | 2926 ms
Mobilenet_0.25_128  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.25_128.tgz)                                       | 1.9 Mb     | 41.5%          | 66.3%          | 6.2 ms                | 13.0 ms
Mobilenet_0.25_160  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.25_160.tgz)                                       | 1.9 Mb     | 45.5%          | 70.3%          | 8.6 ms                | 19.5 ms
Mobilenet_0.25_192  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.25_192.tgz)                                       | 1.9 Mb     | 47.7%          | 72.3%          | 12.1 ms               | 27.8 ms
Mobilenet_0.25_224  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.25_224.tgz)                                       | 1.9 Mb     | 49.8%          | 74.2%          | 16.2 ms               | 37.3 ms
Mobilenet_0.50_128  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.5_128.tgz)                                        | 5.3 Mb     | 56.3%          | 79.4%          | 18.1 ms               | 29.9 ms
Mobilenet_0.50_160  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.5_160.tgz)                                        | 5.3 Mb     | 59.1%          | 81.9%          | 26.8 ms               | 45.9 ms
Mobilenet_0.50_192  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.5_192.tgz)                                        | 5.3 Mb     | 61.7%          | 83.6%          | 35.6 ms               | 65.3 ms
Mobilenet_0.50_224  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.5_224.tgz)                                        | 5.3 Mb     | 63.3%          | 84.9%          | 47.6 ms               | 164.2 ms
Mobilenet_0.75_128  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.75_128.tgz)                                       | 10.3 Mb    | 62.1%          | 83.9%          | 34.6 ms               | 48.7 ms
Mobilenet_0.75_160  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.75_160.tgz)                                       | 10.3 Mb    | 65.3%          | 86.0%          | 51.3 ms               | 75.2 ms
Mobilenet_0.75_192  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.75_192.tgz)                                       | 10.3 Mb    | 67.2%          | 87.3%          | 71.7 ms               | 107.0 ms
Mobilenet_0.75_224  | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.75_224.tgz)                                       | 10.3 Mb    | 68.4%          | 88.2%          | 95.7 ms               | 143.4 ms
Mobilenet_1.0_128   | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_128.tgz)                                        | 16.9 Mb    | 65.2%          | 85.8%          | 57.4 ms               | 76.8 ms
Mobilenet_1.0_160   | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_160.tgz)                                        | 16.9 Mb    | 68.0%          | 87.7%          | 86.0 ms               | 117.7 ms
Mobilenet_1.0_192   | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_192.tgz)                                        | 16.9 Mb    | 70.0%          | 89.2%          | 118.6 ms              | 167.3 ms
Mobilenet_1.0_224   | [paper](https://arxiv.org/pdf/1704.04861.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz)                                        | 16.9 Mb    | 70.9%          | 89.9%          | 160.1 ms              | 224.3 ms

^ The model files include both TF Lite FlatBuffer and Tensorflow frozen Graph.

^^ The performance numbers are generated in the benchmark on Pixel-2 using
single thread large core.

## Image classification (Quantized Models)

Model Name               | Paper_Model_Files                                                                                                                                         | Model_Size | Top-1 Accuracy | Top-5 Accuracy | TF Lite Performance
------------------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------: | ---------: | -------------: | -------------: | ------------------:
Mobilenet_0.25_128_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.25_128_quant.tgz) | 0.5 Mb     | 39.7%          | 65.8%          | 3.7 ms
Mobilenet_0.25_160_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.25_160_quant.tgz) | 0.5 Mb     | 41.9%          | 69.1%          | 5.5 ms
Mobilenet_0.25_192_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.25_192_quant.tgz) | 0.5 Mb     | 45.3%          | 71.9%          | 7.9 ms
Mobilenet_0.25_224_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.25_224_quant.tgz) | 0.5 Mb     | 46.4%          | 73.8%          | 10.4 ms
Mobilenet_0.50_128_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.5_128_quant.tgz)  | 1.4 Mb     | 54.1%          | 78.9%          | 8.8 ms
Mobilenet_0.50_160_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.5_160_quant.tgz)  | 1.4 Mb     | 57.6%          | 81.3%          | 13.0 ms
Mobilenet_0.50_192_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.5_192_quant.tgz)  | 1.4 Mb     | 59.1%          | 83.2%          | 18.3 ms
Mobilenet_0.50_224_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.5_224_quant.tgz)  | 1.4 Mb     | 61.0%          | 84.5%          | 24.7 ms
Mobilenet_0.75_128_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.75_128_quant.tgz) | 2.6 Mb     | 52.5%          | 82.8%          | 16.2 ms
Mobilenet_0.75_160_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.75_160_quant.tgz) | 2.6 Mb     | 63.6%          | 85.5%          | 24.3 ms
Mobilenet_0.75_192_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.75_192_quant.tgz) | 2.6 Mb     | 61.1%          | 87.1%          | 33.8 ms
Mobilenet_0.75_224_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_0.75_224_quant.tgz) | 2.6 Mb     | 66.7%          | 88.1%          | 45.4 ms
Mobilenet_1.0_128_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_1.0_128_quant.tgz)  | 4.3 Mb     | 62.7%          | 85.5%          | 24.9 ms
Mobilenet_1.0_160_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_1.0_160_quant.tgz)  | 4.3 Mb     | 66.6%          | 87.7%          | 37.4 ms
Mobilenet_1.0_192_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_1.0_192_quant.tgz)  | 4.3 Mb     | 69.2%          | 88.9%          | 51.9 ms
Mobilenet_1.0_224_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_07_12/mobilenet_v1_1.0_224_quant.tgz)  | 4.3 Mb     | 69.3%          | 89.5%          | 70.2 ms

## Other models

Model                   | TF Lite FlatBuffer
----------------------- | :----------------:
Smart Reply 1.0 Android | [reference](https://research.googleblog.com/2017/11/on-device-conversational-modeling-with.html), [tflite](https://storage.googleapis.com/download.tensorflow.org/models/smartreply_1.0_2017_11_01.zip)
