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EfficientNet-B0

Image Classification
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v0.60.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.

Files changed (2) hide show
  1. README.md +89 -82
  2. release_assets.json +6 -6
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.
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/blob/v0.59.0/src/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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@@ -29,115 +29,122 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-onnx-float.zip)
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- | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-onnx-w8a16.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-qnn_dlc-float.zip)
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- | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-qnn_dlc-w8a16.zip)
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- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/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/v0.59.0/src/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/v0.59.0/src/qai_hub_models/models/efficientnet_b0) for usage instructions.
51
 
52
  ## Model Details
53
 
54
  **Model Type:** Model_use_case.image_classification
55
 
56
  **Model Stats:**
57
- - Model checkpoint: Imagenet
58
  - Input resolution: 224x224
59
- - Number of parameters: 5.27M
60
  - Model size (float): 20.1 MB
61
  - Model size (w8a16): 6.99 MB
 
62
 
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® X2 Elite | 0.652 ms | 2 - 2 MB | NPU
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- | EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.306 ms | 14 - 14 MB | NPU
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- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.898 ms | 0 - 65 MB | NPU
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- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.873 ms | 1 - 77 MB | NPU
70
- | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.28 ms | 0 - 17 MB | NPU
71
- | EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.873 ms | 1 - 77 MB | NPU
72
- | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.622 ms | 1 - 3 MB | NPU
73
- | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.306 ms | 14 - 14 MB | NPU
74
- | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.697 ms | 0 - 42 MB | NPU
75
- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.697 ms | 0 - 42 MB | NPU
76
- | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.546 ms | 0 - 43 MB | NPU
77
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.567 ms | 1 - 1 MB | NPU
78
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.485 ms | 6 - 6 MB | NPU
79
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.939 ms | 0 - 83 MB | NPU
80
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.663 ms | 0 - 83 MB | NPU
81
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.737 ms | 0 - 3 MB | NPU
82
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.422 ms | 0 - 10 MB | NPU
83
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8450 | 1.663 ms | 0 - 83 MB | NPU
84
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.789 ms | 0 - 3 MB | NPU
85
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.485 ms | 6 - 6 MB | NPU
86
- | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.668 ms | 0 - 64 MB | NPU
87
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.668 ms | 0 - 64 MB | NPU
88
- | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.554 ms | 0 - 63 MB | NPU
89
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.84 ms | 1 - 1 MB | NPU
90
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.783 ms | 1 - 1 MB | NPU
91
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.074 ms | 0 - 64 MB | NPU
92
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.593 ms | 0 - 73 MB | NPU
93
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 4.925 ms | 1 - 37 MB | NPU
94
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.558 ms | 1 - 2 MB | NPU
95
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.012 ms | 1 - 40 MB | NPU
96
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8650P | 2.012 ms | 1 - 40 MB | NPU
97
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8255P | 2.012 ms | 1 - 40 MB | NPU
98
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 | 3.593 ms | 0 - 73 MB | NPU
99
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 2.338 ms | 1 - 3 MB | NPU
100
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.783 ms | 1 - 1 MB | NPU
101
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.805 ms | 1 - 37 MB | NPU
102
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.925 ms | 1 - 37 MB | NPU
103
- | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.615 ms | 0 - 44 MB | NPU
104
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.805 ms | 1 - 37 MB | NPU
105
- | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.611 ms | 1 - 38 MB | NPU
106
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.795 ms | 0 - 0 MB | NPU
 
 
 
 
 
107
  | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.862 ms | 0 - 0 MB | NPU
108
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.132 ms | 0 - 65 MB | NPU
109
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.973 ms | 0 - 70 MB | NPU
110
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.122 ms | 0 - 2 MB | NPU
111
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8275 | 3.303 ms | 0 - 48 MB | NPU
112
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.676 ms | 0 - 43 MB | NPU
113
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.951 ms | 0 - 51 MB | NPU
114
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.951 ms | 0 - 51 MB | NPU
115
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.951 ms | 0 - 51 MB | NPU
116
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.973 ms | 0 - 70 MB | NPU
117
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.783 ms | 2 - 4 MB | NPU
 
118
  | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.862 ms | 0 - 0 MB | NPU
119
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.526 ms | 0 - 168 MB | NPU
120
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.712 ms | 0 - 48 MB | NPU
121
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.776 ms | 0 - 52 MB | NPU
122
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.303 ms | 0 - 48 MB | NPU
123
- | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.364 ms | 0 - 46 MB | NPU
124
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.776 ms | 0 - 52 MB | NPU
125
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.644 ms | 0 - 52 MB | NPU
126
- | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.712 ms | 0 - 48 MB | NPU
127
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.071 ms | 0 - 66 MB | NPU
128
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.605 ms | 0 - 81 MB | NPU
129
- | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 4.931 ms | 0 - 41 MB | NPU
130
- | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.533 ms | 0 - 2 MB | NPU
131
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.05 ms | 0 - 45 MB | NPU
132
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8650P | 2.05 ms | 0 - 45 MB | NPU
133
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8255P | 2.05 ms | 0 - 45 MB | NPU
134
- | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 | 3.605 ms | 0 - 81 MB | NPU
135
- | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.887 ms | 0 - 16 MB | NPU
136
- | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.815 ms | 0 - 41 MB | NPU
137
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.931 ms | 0 - 41 MB | NPU
138
- | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.613 ms | 0 - 48 MB | NPU
139
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.815 ms | 0 - 41 MB | NPU
140
- | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.612 ms | 0 - 42 MB | NPU
 
141
 
142
  ## License
143
  * 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/blob/v0.60.0/src/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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/efficientnet_b0-onnx-float.zip)
33
+ | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/efficientnet_b0-onnx-w8a16.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/efficientnet_b0-qnn_dlc-float.zip)
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+ | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/efficientnet_b0-qnn_dlc-w8a16.zip)
36
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/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/v0.60.0/src/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/v0.60.0/src/qai_hub_models/models/efficientnet_b0) for usage instructions.
51
 
52
  ## Model Details
53
 
54
  **Model Type:** Model_use_case.image_classification
55
 
56
  **Model Stats:**
 
57
  - Input resolution: 224x224
58
+ - Model checkpoint: Imagenet
59
  - Model size (float): 20.1 MB
60
  - Model size (w8a16): 6.99 MB
61
+ - Number of parameters: 5.27M
62
 
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® X2 Elite | 0.652 ms | 2 - 2 MB | NPU
67
+ | EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.302 ms | 14 - 14 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.9 ms | 0 - 69 MB | NPU
69
+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.881 ms | 1 - 78 MB | NPU
70
+ | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.607 ms | 1 - 4 MB | NPU
71
+ | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.246 ms | 0 - 19 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.881 ms | 1 - 78 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.626 ms | 1 - 3 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.302 ms | 14 - 14 MB | NPU
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+ | EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.7 ms | 0 - 37 MB | NPU
76
+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.7 ms | 0 - 37 MB | NPU
77
+ | EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.552 ms | 0 - 40 MB | NPU
78
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.571 ms | 1 - 1 MB | NPU
79
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.486 ms | 6 - 6 MB | NPU
80
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.949 ms | 0 - 82 MB | NPU
81
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.659 ms | 0 - 83 MB | NPU
82
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.816 ms | 0 - 3 MB | NPU
83
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.363 ms | 0 - 4 MB | NPU
84
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.425 ms | 0 - 102 MB | NPU
85
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8450 | 1.659 ms | 0 - 83 MB | NPU
86
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.576 ms | 0 - 3 MB | NPU
87
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.486 ms | 6 - 6 MB | NPU
88
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.691 ms | 0 - 65 MB | NPU
89
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.444 ms | 2 - 60 MB | NPU
90
+ | EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.668 ms | 0 - 57 MB | NPU
91
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.668 ms | 0 - 57 MB | NPU
92
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.555 ms | 0 - 60 MB | NPU
93
+ | EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.444 ms | 2 - 60 MB | NPU
94
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.855 ms | 1 - 1 MB | NPU
95
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.765 ms | 1 - 1 MB | NPU
96
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.065 ms | 0 - 61 MB | NPU
97
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.59 ms | 0 - 73 MB | NPU
98
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.906 ms | 1 - 36 MB | NPU
99
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.563 ms | 0 - 10 MB | NPU
100
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.015 ms | 1 - 39 MB | NPU
101
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8650P | 2.015 ms | 1 - 39 MB | NPU
102
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8255P | 2.015 ms | 1 - 39 MB | NPU
103
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 | 3.59 ms | 0 - 73 MB | NPU
104
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.866 ms | 1 - 3 MB | NPU
105
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.765 ms | 1 - 1 MB | NPU
106
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.806 ms | 0 - 36 MB | NPU
107
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.906 ms | 1 - 36 MB | NPU
108
+ | EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.615 ms | 1 - 44 MB | NPU
109
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.806 ms | 0 - 36 MB | NPU
110
+ | EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.61 ms | 1 - 38 MB | NPU
111
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.803 ms | 0 - 0 MB | NPU
112
  | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.862 ms | 0 - 0 MB | NPU
113
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.132 ms | 0 - 66 MB | NPU
114
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.97 ms | 0 - 68 MB | NPU
115
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.057 ms | 0 - 2 MB | NPU
116
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.569 ms | 0 - 3 MB | NPU
117
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 3.281 ms | 0 - 47 MB | NPU
118
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.672 ms | 0 - 2 MB | NPU
119
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.947 ms | 0 - 52 MB | NPU
120
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.947 ms | 0 - 52 MB | NPU
121
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.947 ms | 0 - 52 MB | NPU
122
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.97 ms | 0 - 68 MB | NPU
123
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.783 ms | 0 - 2 MB | NPU
124
  | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.862 ms | 0 - 0 MB | NPU
125
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.469 ms | 0 - 164 MB | NPU
126
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.708 ms | 0 - 48 MB | NPU
127
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.773 ms | 0 - 46 MB | NPU
128
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.281 ms | 0 - 47 MB | NPU
129
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.375 ms | 0 - 46 MB | NPU
130
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.773 ms | 0 - 46 MB | NPU
131
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.645 ms | 0 - 47 MB | NPU
132
+ | EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.708 ms | 0 - 48 MB | NPU
133
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.064 ms | 0 - 66 MB | NPU
134
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.597 ms | 0 - 80 MB | NPU
135
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.796 ms | 0 - 17 MB | NPU
136
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.938 ms | 0 - 41 MB | NPU
137
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.539 ms | 0 - 2 MB | NPU
138
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.027 ms | 0 - 46 MB | NPU
139
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8650P | 2.027 ms | 0 - 46 MB | NPU
140
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8255P | 2.027 ms | 0 - 46 MB | NPU
141
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 | 3.597 ms | 0 - 80 MB | NPU
142
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2.391 ms | 0 - 16 MB | NPU
143
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.816 ms | 0 - 41 MB | NPU
144
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.938 ms | 0 - 41 MB | NPU
145
+ | EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.642 ms | 0 - 47 MB | NPU
146
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.816 ms | 0 - 41 MB | NPU
147
+ | EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.612 ms | 0 - 41 MB | NPU
148
 
149
  ## License
150
  * The license for the original implementation of EfficientNet-B0 can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  "universal_assets": {
@@ -8,19 +8,19 @@
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  "onnx_runtime": "1.27.1"
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-onnx-float.zip"
12
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13
  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327"
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17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327"
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-tflite-float.zip"
24
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25
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26
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@@ -31,13 +31,13 @@
31
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33
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-onnx-w8a16.zip"
35
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.59.0/efficientnet_b0-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }
 
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18
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  "tflite": {
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  "qairt": "2.45.0.260326154327",
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/efficientnet_b0-onnx-w8a16.zip"
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.60.0/efficientnet_b0-qnn_dlc-w8a16.zip"
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