
# List of Hosted Models

# AutoML mobile image classification models (Float Models)

Model Name          | Paper_Model_Files | Model_Size | Top-1 Accuracy | Top-5 Accuracy | TF Lite Performance^
------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ---------: | -------------: | -------------: | ---------------------:
MnasNet_0.50_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_0.5_224_09_07_2018.tgz) | 8.5 Mb    | 68.03%          | 87.79%          | 37 ms
MnasNet_0.75_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_0.75_224_09_07_2018.tgz) | 12 Mb     | 71.72%          | 90.17%          | 61 ms
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%          | 93 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%          | 152 ms
MnasNet_1.0_96| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_96_09_07_2018.tgz) | 17 Mb    | 62.33%          | 83.98%          | 23 ms
MnasNet_1.0_128| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_128_09_07_2018.tgz) | 17 Mb    | 67.32%          | 87.70%          | 34 ms
MnasNet_1.0_160| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_160_09_07_2018.tgz) | 17 Mb    | 70.63%          | 89.58%          | 51 ms
MnasNet_1.0_192| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_192_09_07_2018.tgz) | 17 Mb    | 72.56%          | 90.76%          | 70 ms
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%          | 93 ms

^ Performance numbers are generated on Pixel-1 using single thread large BIG core.


## 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    | 73.9%          | 91.5%          | 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   | 82.6%          | 96.1%          | 6697 ms               | 7940 ms
ResNet_V2_101         | [paper](https://arxiv.org/abs/1603.05027), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/tflite_11_05_08/resnet_v2_101.tgz)                                   | 178.3 Mb   | 76.8%          | 93.6%          | 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    | 77.9%          | 93.8%          | 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   | 80.1%          | 95.1%          | 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   | 77.5%          | 94.0%          | 2731 ms               | 2926 ms
Mobilenet_V1_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     | 41.4%          | 66.2%          | 6.2 ms                | 13.0 ms
Mobilenet_V1_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     | 45.4%          | 70.2%          | 8.6 ms                | 19.5 ms
Mobilenet_V1_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     | 47.1%          | 72.0%          | 12.1 ms               | 27.8 ms
Mobilenet_V1_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     | 49.7%          | 74.1%          | 16.2 ms               | 37.3 ms
Mobilenet_V1_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     | 56.2%          | 79.3%          | 18.1 ms               | 29.9 ms
Mobilenet_V1_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     | 59.0%          | 81.8%          | 26.8 ms               | 45.9 ms
Mobilenet_V1_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%          | 83.5%          | 35.6 ms               | 65.3 ms
Mobilenet_V1_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     | 63.2%          | 84.9%          | 47.6 ms               | 164.2 ms
Mobilenet_V1_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    | 62.0%          | 83.8%          | 34.6 ms               | 48.7 ms
Mobilenet_V1_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    | 65.2%          | 85.9%          | 51.3 ms               | 75.2 ms
Mobilenet_V1_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    | 67.1%          | 87.2%          | 71.7 ms               | 107.0 ms
Mobilenet_V1_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    | 68.3%          | 88.1%          | 95.7 ms               | 143.4 ms
Mobilenet_V1_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%          | 85.7%          | 57.4 ms               | 76.8 ms
Mobilenet_V1_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_V1_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    | 69.9%          | 89.1%          | 118.6 ms              | 167.3 ms
Mobilenet_V1_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    | 71.0%          | 89.9%          | 160.1 ms              | 224.3 ms
Mobilenet_V2_1.0_224  | [paper](https://arxiv.org/pdf/1801.04381.pdf), [tflite&pb](http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224.tgz)                                                | 14.0 Mb    | 71.8%          | 90.6%          | 117 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.

^^ Accuracy numbers were computed using the
[TFLite accuracy tool](../tools/accuracy/ilsvrc) .

## Image classification (Quantized Models)

Model Name                  | Paper_Model_Files                                                                                                                                         | Model_Size | Top-1 Accuracy | Top-5 Accuracy | TF Lite Performance
--------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------: | ---------: | -------------: | -------------: | ------------------:
Mobilenet_V1_0.25_128_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.25_128_quant.tgz) | 0.5 Mb     | 39.5%          | 64.4%          | 3.7 ms
Mobilenet_V1_0.25_160_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.25_160_quant.tgz) | 0.5 Mb     | 42.8%          | 68.1%          | 5.5 ms
Mobilenet_V1_0.25_192_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.25_192_quant.tgz) | 0.5 Mb     | 45.7%          | 70.8%          | 7.9 ms
Mobilenet_V1_0.25_224_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.25_224_quant.tgz) | 0.5 Mb     | 48.2%          | 72.8%          | 10.4 ms
Mobilenet_V1_0.50_128_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.5_128_quant.tgz)  | 1.4 Mb     | 54.9%          | 78.1%          | 8.8 ms
Mobilenet_V1_0.50_160_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.5_160_quant.tgz)  | 1.4 Mb     | 57.2%          | 80.5%          | 13.0 ms
Mobilenet_V1_0.50_192_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.5_192_quant.tgz)  | 1.4 Mb     | 59.9%          | 82.1%          | 18.3 ms
Mobilenet_V1_0.50_224_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.5_224_quant.tgz)  | 1.4 Mb     | 61.2%          | 83.2%          | 24.7 ms
Mobilenet_V1_0.75_128_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.75_128_quant.tgz) | 2.6 Mb     | 55.9%          | 79.1%          | 16.2 ms
Mobilenet_V1_0.75_160_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.75_160_quant.tgz) | 2.6 Mb     | 62.4%          | 83.7%          | 24.3 ms
Mobilenet_V1_0.75_192_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.75_192_quant.tgz) | 2.6 Mb     | 66.1%          | 86.2%          | 33.8 ms
Mobilenet_V1_0.75_224_quant | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.75_224_quant.tgz) | 2.6 Mb     | 66.9%          | 86.9%          | 45.4 ms
Mobilenet_V1_1.0_128_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_128_quant.tgz)  | 4.3 Mb     | 63.3%          | 84.1%          | 24.9 ms
Mobilenet_V1_1.0_160_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_160_quant.tgz)  | 4.3 Mb     | 66.9%          | 86.7%          | 37.4 ms
Mobilenet_V1_1.0_192_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_192_quant.tgz)  | 4.3 Mb     | 69.1%          | 88.1%          | 51.9 ms
Mobilenet_V1_1.0_224_quant  | [paper](https://arxiv.org/pdf/1712.05877.pdf), [tflite&pb](http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz)  | 4.3 Mb     | 70.0%          | 89.0%          | 70.2 ms
Mobilenet_v2_1.0_224_quant  | [paper](https://arxiv.org/abs/1806.08342), [tflite&pb](http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224_quant.tgz)              | 3.4 Mb     | 70.8%          | 89.9%          | 80.3 ms
Inception_v3_quant          | [paper](https://arxiv.org/abs/1806.08342),[tflite&pb](http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz)                       | 23 Mb      | 77.5%          | 93.7%          | 637 ms

## Other models

Model                   | TF Lite FlatBuffer
----------------------- | :----------------:
[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)
