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EfficientNet-B0

Image Classification
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v0.49.1

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See https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.

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  1. README.md +61 -61
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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  EfficientNetB0 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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  This is based on the implementation of EfficientNet-B0 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.py).
19
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/efficientnet_b0) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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@@ -29,25 +29,25 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
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- | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.48.0/efficientnet_b0-onnx-float.zip)
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- | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.48.0/efficientnet_b0-onnx-w8a16.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.48.0/efficientnet_b0-qnn_dlc-float.zip)
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- | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.48.0/efficientnet_b0-qnn_dlc-w8a16.zip)
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- | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.48.0/efficientnet_b0-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b0)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/efficientnet_b0) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
- See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/efficientnet_b0) for usage instructions.
51
 
52
  ## Model Details
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@@ -63,60 +63,60 @@ See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/a
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  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | EfficientNet-B0 | ONNX | float | Snapdragon® X2 Elite | 0.668 ms | 13 - 13 MB | NPU
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- | EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.462 ms | 13 - 13 MB | NPU
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- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.897 ms | 1 - 65 MB | NPU
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- | EfficientNet-B0 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.266 ms | 0 - 15 MB | NPU
70
- | EfficientNet-B0 | ONNX | float | Qualcomm® QCS9075 | 1.627 ms | 1 - 3 MB | NPU
71
- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.695 ms | 0 - 45 MB | NPU
72
- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.547 ms | 0 - 43 MB | NPU
73
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.578 ms | 6 - 6 MB | NPU
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- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.634 ms | 6 - 6 MB | NPU
75
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.932 ms | 0 - 83 MB | NPU
76
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS6490 | 112.896 ms | 43 - 46 MB | CPU
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- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.416 ms | 0 - 9 MB | NPU
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- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS9075 | 1.613 ms | 0 - 3 MB | NPU
79
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCM6690 | 49.256 ms | 42 - 51 MB | CPU
80
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.668 ms | 0 - 60 MB | NPU
81
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 39.943 ms | 42 - 51 MB | CPU
82
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.554 ms | 0 - 58 MB | NPU
83
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.893 ms | 1 - 1 MB | NPU
84
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.783 ms | 1 - 1 MB | NPU
85
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.088 ms | 0 - 64 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.913 ms | 1 - 38 MB | NPU
87
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.563 ms | 1 - 2 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.059 ms | 1 - 42 MB | NPU
89
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS9075 | 1.889 ms | 3 - 5 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.602 ms | 0 - 73 MB | NPU
91
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.913 ms | 1 - 38 MB | NPU
92
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.678 ms | 0 - 46 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.817 ms | 0 - 43 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.611 ms | 1 - 44 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.827 ms | 0 - 0 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.91 ms | 0 - 0 MB | NPU
 
97
  | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.149 ms | 0 - 66 MB | NPU
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- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 4.196 ms | 0 - 2 MB | NPU
99
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 3.342 ms | 0 - 45 MB | NPU
100
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.694 ms | 0 - 18 MB | NPU
101
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 8.625 ms | 0 - 45 MB | NPU
102
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.863 ms | 2 - 4 MB | NPU
103
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 6.515 ms | 0 - 163 MB | NPU
104
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.956 ms | 0 - 67 MB | NPU
105
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.342 ms | 0 - 45 MB | NPU
106
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.431 ms | 0 - 43 MB | NPU
107
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.788 ms | 0 - 44 MB | NPU
108
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.73 ms | 0 - 46 MB | NPU
109
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.643 ms | 0 - 48 MB | NPU
110
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.079 ms | 0 - 74 MB | NPU
111
- | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.951 ms | 0 - 46 MB | NPU
112
- | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.563 ms | 0 - 2 MB | NPU
113
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.065 ms | 0 - 49 MB | NPU
114
- | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS9075 | 1.886 ms | 0 - 16 MB | NPU
115
- | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 3.618 ms | 0 - 81 MB | NPU
116
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.951 ms | 0 - 46 MB | NPU
117
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.69 ms | 0 - 52 MB | NPU
118
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.823 ms | 0 - 45 MB | NPU
119
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.609 ms | 0 - 50 MB | NPU
120
 
121
  ## License
122
  * The license for the original implementation of EfficientNet-B0 can be found
 
16
  EfficientNetB0 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
17
 
18
  This is based on the implementation of EfficientNet-B0 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.py).
19
+ This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/efficientnet_b0) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
22
 
 
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
+ | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.49.1/efficientnet_b0-onnx-float.zip)
33
+ | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.49.1/efficientnet_b0-onnx-w8a16.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.49.1/efficientnet_b0-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.49.1/efficientnet_b0-qnn_dlc-w8a16.zip)
36
+ | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.49.1/efficientnet_b0-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b0)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/efficientnet_b0) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
+ See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/efficientnet_b0) for usage instructions.
51
 
52
  ## Model Details
53
 
 
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.546 ms | 0 - 43 MB | NPU
67
+ | EfficientNet-B0 | ONNX | float | Snapdragon® X2 Elite | 1.113 ms | 13 - 13 MB | NPU
68
+ | EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.444 ms | 13 - 13 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.899 ms | 0 - 65 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.26 ms | 0 - 15 MB | NPU
71
+ | EfficientNet-B0 | ONNX | float | Qualcomm® QCS9075 | 1.632 ms | 1 - 3 MB | NPU
72
+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.697 ms | 0 - 37 MB | NPU
73
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.555 ms | 0 - 58 MB | NPU
74
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.582 ms | 6 - 6 MB | NPU
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+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.635 ms | 6 - 6 MB | NPU
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+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.94 ms | 0 - 83 MB | NPU
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+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS6490 | 112.182 ms | 44 - 47 MB | CPU
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+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.421 ms | 0 - 9 MB | NPU
79
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS9075 | 1.605 ms | 0 - 3 MB | NPU
80
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCM6690 | 48.881 ms | 42 - 51 MB | CPU
81
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.669 ms | 0 - 52 MB | NPU
82
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 42.214 ms | 43 - 53 MB | CPU
83
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.611 ms | 1 - 43 MB | NPU
84
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.913 ms | 1 - 1 MB | NPU
85
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.791 ms | 1 - 1 MB | NPU
86
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.084 ms | 0 - 63 MB | NPU
87
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.9 ms | 1 - 38 MB | NPU
88
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.564 ms | 0 - 33 MB | NPU
89
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.047 ms | 1 - 43 MB | NPU
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+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS9075 | 1.866 ms | 3 - 5 MB | NPU
91
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.602 ms | 0 - 78 MB | NPU
92
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.9 ms | 1 - 38 MB | NPU
93
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.66 ms | 0 - 45 MB | NPU
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+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.818 ms | 0 - 39 MB | NPU
95
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.64 ms | 0 - 48 MB | NPU
96
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.934 ms | 0 - 0 MB | NPU
97
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.911 ms | 0 - 0 MB | NPU
98
  | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.149 ms | 0 - 66 MB | NPU
99
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 4.126 ms | 2 - 4 MB | NPU
100
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 3.339 ms | 0 - 46 MB | NPU
101
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.692 ms | 0 - 2 MB | NPU
102
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.981 ms | 0 - 49 MB | NPU
103
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.861 ms | 0 - 2 MB | NPU
104
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 6.518 ms | 0 - 163 MB | NPU
105
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.947 ms | 0 - 67 MB | NPU
106
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.339 ms | 0 - 46 MB | NPU
107
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.429 ms | 0 - 43 MB | NPU
108
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.793 ms | 0 - 48 MB | NPU
109
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.728 ms | 0 - 47 MB | NPU
110
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.61 ms | 0 - 50 MB | NPU
111
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.075 ms | 0 - 77 MB | NPU
112
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.944 ms | 0 - 46 MB | NPU
113
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.567 ms | 0 - 5 MB | NPU
114
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.068 ms | 0 - 49 MB | NPU
115
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS9075 | 1.878 ms | 0 - 16 MB | NPU
116
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 3.607 ms | 0 - 82 MB | NPU
117
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.944 ms | 0 - 46 MB | NPU
118
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.708 ms | 0 - 52 MB | NPU
119
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.822 ms | 0 - 45 MB | NPU
 
120
 
121
  ## License
122
  * The license for the original implementation of EfficientNet-B0 can be found