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EfficientNet-B4

Image Classification
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bu_auto
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v0.61.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.

Files changed (2) hide show
  1. README.md +91 -91
  2. release_assets.json +6 -6
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  library_name: pytorch
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- license: other
4
  tags:
5
  - backbone
6
  - bu_auto
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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  EfficientNetB4 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-B4 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_b4) 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
 
@@ -29,25 +29,25 @@ Below are pre-exported model assets ready for deployment.
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_b4/releases/v0.60.0/efficientnet_b4-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_b4/releases/v0.60.0/efficientnet_b4-onnx-w8a16.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-qnn_dlc-float.zip)
35
- | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-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_b4/releases/v0.60.0/efficientnet_b4-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[EfficientNet-B4 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b4)**.
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_b4) 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-B4 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/efficientnet_b4) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,89 +63,89 @@ See our repository for [EfficientNet-B4 on GitHub](https://github.com/qualcomm/a
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | EfficientNet-B4 | ONNX | float | Snapdragon® X2 Elite | 3.919 ms | 2 - 2 MB | NPU
67
- | EfficientNet-B4 | ONNX | float | Snapdragon® X Elite | 7.671 ms | 44 - 44 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.307 ms | 0 - 148 MB | NPU
69
- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 20.441 ms | 0 - 189 MB | NPU
70
- | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 9.583 ms | 2 - 7 MB | NPU
71
- | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.32 ms | 0 - 66 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Qualcomm® QCS8450 | 20.441 ms | 0 - 189 MB | NPU
73
- | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 9.373 ms | 1 - 6 MB | NPU
74
- | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.671 ms | 44 - 44 MB | NPU
75
- | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.049 ms | 0 - 90 MB | NPU
76
- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Mobile | 4.049 ms | 0 - 90 MB | NPU
77
- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.011 ms | 0 - 207 MB | NPU
78
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X2 Elite | 2.923 ms | 2 - 2 MB | NPU
79
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X Elite | 8.038 ms | 24 - 24 MB | NPU
80
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.083 ms | 1 - 224 MB | NPU
81
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.901 ms | 0 - 226 MB | NPU
82
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 32.884 ms | 0 - 4 MB | NPU
83
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 6.963 ms | 1 - 4 MB | NPU
84
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.646 ms | 0 - 30 MB | NPU
85
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8450 | 8.901 ms | 0 - 226 MB | NPU
86
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 7.973 ms | 1 - 4 MB | NPU
87
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 8.038 ms | 24 - 24 MB | NPU
88
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 48.566 ms | 1 - 296 MB | NPU
89
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.148 ms | 1 - 288 MB | NPU
90
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.402 ms | 0 - 168 MB | NPU
91
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 3.402 ms | 0 - 168 MB | NPU
92
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.745 ms | 0 - 175 MB | NPU
93
- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.148 ms | 1 - 288 MB | NPU
94
- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X2 Elite | 4.574 ms | 2 - 2 MB | NPU
95
- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X Elite | 8.829 ms | 2 - 2 MB | NPU
96
- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.813 ms | 0 - 144 MB | NPU
97
- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 22.976 ms | 2 - 187 MB | NPU
98
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 10.037 ms | 2 - 6 MB | NPU
99
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 29.132 ms | 2 - 82 MB | NPU
100
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.134 ms | 2 - 137 MB | NPU
101
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8775P | 10.308 ms | 2 - 84 MB | NPU
102
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8650P | 10.308 ms | 2 - 84 MB | NPU
103
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8255P | 10.308 ms | 2 - 84 MB | NPU
104
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8450 | 22.976 ms | 2 - 187 MB | NPU
105
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 12.158 ms | 4 - 7 MB | NPU
106
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 8.829 ms | 2 - 2 MB | NPU
107
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.31 ms | 2 - 87 MB | NPU
108
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA7255P | 29.132 ms | 2 - 82 MB | NPU
109
- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8295P | 18.796 ms | 2 - 124 MB | NPU
110
- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 4.31 ms | 2 - 87 MB | NPU
111
- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.356 ms | 2 - 208 MB | NPU
112
- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.493 ms | 1 - 1 MB | NPU
113
- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.064 ms | 1 - 1 MB | NPU
114
- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.634 ms | 0 - 197 MB | NPU
115
- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 11.391 ms | 1 - 201 MB | NPU
116
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 33.808 ms | 3 - 5 MB | NPU
117
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 7.607 ms | 1 - 4 MB | NPU
118
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 15.412 ms | 1 - 141 MB | NPU
119
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.364 ms | 1 - 179 MB | NPU
120
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 8.911 ms | 1 - 143 MB | NPU
121
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 8.911 ms | 1 - 143 MB | NPU
122
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 8.911 ms | 1 - 143 MB | NPU
123
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 11.391 ms | 1 - 201 MB | NPU
124
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.65 ms | 1 - 3 MB | NPU
125
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 9.064 ms | 1 - 1 MB | NPU
126
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 50.437 ms | 1 - 276 MB | NPU
127
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.825 ms | 1 - 269 MB | NPU
128
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.697 ms | 0 - 144 MB | NPU
129
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 15.412 ms | 1 - 141 MB | NPU
130
- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 10.904 ms | 1 - 144 MB | NPU
131
- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 3.697 ms | 0 - 144 MB | NPU
132
  | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.008 ms | 1 - 155 MB | NPU
133
- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.825 ms | 1 - 269 MB | NPU
134
- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.759 ms | 0 - 163 MB | NPU
135
- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.815 ms | 0 - 203 MB | NPU
136
- | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 9.978 ms | 0 - 50 MB | NPU
137
- | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 28.939 ms | 0 - 97 MB | NPU
138
- | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.046 ms | 0 - 2 MB | NPU
139
- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8775P | 10.293 ms | 0 - 100 MB | NPU
140
- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8650P | 10.293 ms | 0 - 100 MB | NPU
141
- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8255P | 10.293 ms | 0 - 100 MB | NPU
142
- | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8450 | 21.815 ms | 0 - 203 MB | NPU
143
- | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 9.996 ms | 0 - 49 MB | NPU
144
- | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.321 ms | 0 - 99 MB | NPU
145
- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA7255P | 28.939 ms | 0 - 97 MB | NPU
146
- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8295P | 18.844 ms | 0 - 140 MB | NPU
147
- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Mobile | 4.321 ms | 0 - 99 MB | NPU
148
- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.318 ms | 0 - 99 MB | NPU
149
 
150
  ## License
151
  * The license for the original implementation of EfficientNet-B4 can be found
 
1
  ---
2
  library_name: pytorch
3
+ license: bsd-3-clause
4
  tags:
5
  - backbone
6
  - bu_auto
 
16
  EfficientNetB4 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-B4 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/v0.61.0/src/qai_hub_models/models/efficientnet_b4) 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_b4/releases/v0.61.0/efficientnet_b4-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_b4/releases/v0.61.0/efficientnet_b4-onnx-w8a16.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-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_b4/releases/v0.61.0/efficientnet_b4-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[EfficientNet-B4 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b4)**.
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/v0.61.0/src/qai_hub_models/models/efficientnet_b4) 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-B4 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/efficientnet_b4) 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-B4 | ONNX | float | Snapdragon® X2 Elite | 3.926 ms | 2 - 2 MB | NPU
67
+ | EfficientNet-B4 | ONNX | float | Snapdragon® X Elite | 7.685 ms | 45 - 45 MB | NPU
68
+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.316 ms | 0 - 150 MB | NPU
69
+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 20.51 ms | 0 - 190 MB | NPU
70
+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 9.585 ms | 2 - 7 MB | NPU
71
+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.329 ms | 0 - 215 MB | NPU
72
+ | EfficientNet-B4 | ONNX | float | Qualcomm® QCS8450 | 20.51 ms | 0 - 190 MB | NPU
73
+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 11.231 ms | 1 - 6 MB | NPU
74
+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.685 ms | 45 - 45 MB | NPU
75
+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.04 ms | 0 - 90 MB | NPU
76
+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Mobile | 4.04 ms | 0 - 90 MB | NPU
77
+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.114 ms | 0 - 206 MB | NPU
78
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X2 Elite | 2.917 ms | 2 - 2 MB | NPU
79
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X Elite | 7.998 ms | 24 - 24 MB | NPU
80
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.071 ms | 1 - 226 MB | NPU
81
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.902 ms | 0 - 226 MB | NPU
82
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 32.879 ms | 0 - 4 MB | NPU
83
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 6.951 ms | 1 - 4 MB | NPU
84
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.624 ms | 0 - 30 MB | NPU
85
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8450 | 8.902 ms | 0 - 226 MB | NPU
86
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.015 ms | 1 - 4 MB | NPU
87
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 7.998 ms | 24 - 24 MB | NPU
88
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 53.875 ms | 1 - 296 MB | NPU
89
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 8.929 ms | 1 - 288 MB | NPU
90
+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.413 ms | 0 - 165 MB | NPU
91
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 3.413 ms | 0 - 165 MB | NPU
92
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.744 ms | 0 - 176 MB | NPU
93
+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 8.929 ms | 1 - 288 MB | NPU
94
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X2 Elite | 4.518 ms | 2 - 2 MB | NPU
95
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X Elite | 8.905 ms | 2 - 2 MB | NPU
96
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.813 ms | 0 - 142 MB | NPU
97
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 22.944 ms | 2 - 188 MB | NPU
98
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 10.038 ms | 2 - 6 MB | NPU
99
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 29.128 ms | 2 - 81 MB | NPU
100
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.13 ms | 2 - 3 MB | NPU
101
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8775P | 10.309 ms | 2 - 85 MB | NPU
102
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8650P | 10.309 ms | 2 - 85 MB | NPU
103
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8255P | 10.309 ms | 2 - 85 MB | NPU
104
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8450 | 22.944 ms | 2 - 188 MB | NPU
105
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 10.033 ms | 4 - 7 MB | NPU
106
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 8.905 ms | 2 - 2 MB | NPU
107
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.304 ms | 2 - 87 MB | NPU
108
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA7255P | 29.128 ms | 2 - 81 MB | NPU
109
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8295P | 18.789 ms | 2 - 124 MB | NPU
110
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 4.304 ms | 2 - 87 MB | NPU
111
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.254 ms | 2 - 207 MB | NPU
112
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.541 ms | 1 - 1 MB | NPU
113
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.091 ms | 1 - 1 MB | NPU
114
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.643 ms | 0 - 196 MB | NPU
115
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 11.391 ms | 1 - 202 MB | NPU
116
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 33.692 ms | 1 - 3 MB | NPU
117
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 7.617 ms | 1 - 4 MB | NPU
118
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 15.42 ms | 1 - 141 MB | NPU
119
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.358 ms | 1 - 136 MB | NPU
120
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 8.902 ms | 1 - 144 MB | NPU
121
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 8.902 ms | 1 - 144 MB | NPU
122
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 8.902 ms | 1 - 144 MB | NPU
123
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 11.391 ms | 1 - 202 MB | NPU
124
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.652 ms | 2 - 5 MB | NPU
125
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 9.091 ms | 1 - 1 MB | NPU
126
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 60.7 ms | 1 - 275 MB | NPU
127
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.803 ms | 1 - 268 MB | NPU
128
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.716 ms | 0 - 145 MB | NPU
129
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 15.42 ms | 1 - 141 MB | NPU
130
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 10.91 ms | 1 - 144 MB | NPU
131
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 3.716 ms | 0 - 145 MB | NPU
132
  | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.008 ms | 1 - 155 MB | NPU
133
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.803 ms | 1 - 268 MB | NPU
134
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.745 ms | 0 - 159 MB | NPU
135
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.784 ms | 0 - 205 MB | NPU
136
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 9.984 ms | 0 - 50 MB | NPU
137
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 28.92 ms | 0 - 98 MB | NPU
138
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.024 ms | 0 - 3 MB | NPU
139
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8775P | 10.285 ms | 0 - 100 MB | NPU
140
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8650P | 10.285 ms | 0 - 100 MB | NPU
141
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8255P | 10.285 ms | 0 - 100 MB | NPU
142
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8450 | 21.784 ms | 0 - 205 MB | NPU
143
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 10.0 ms | 0 - 49 MB | NPU
144
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.334 ms | 0 - 104 MB | NPU
145
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA7255P | 28.92 ms | 0 - 98 MB | NPU
146
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8295P | 18.869 ms | 0 - 139 MB | NPU
147
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Mobile | 4.334 ms | 0 - 104 MB | NPU
148
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.316 ms | 0 - 99 MB | NPU
149
 
150
  ## License
151
  * The license for the original implementation of EfficientNet-B4 can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "version": "0.60.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
@@ -8,19 +8,19 @@
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
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11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327"
22
  },
23
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-tflite-float.zip"
24
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25
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26
  },
@@ -31,13 +31,13 @@
31
  "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.27.1"
33
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34
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
37
  "tool_versions": {
38
  "qairt": "2.45.0.260326154327"
39
  },
40
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.60.0/efficientnet_b4-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }
 
1
  {
2
+ "version": "0.61.0",
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  "universal_assets": {
 
8
  "qairt": "2.45.0.260326154327",
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10
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11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
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17
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327"
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23
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-tflite-float.zip"
24
  }
25
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26
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31
  "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.27.1"
33
  },
34
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
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  "tool_versions": {
38
  "qairt": "2.45.0.260326154327"
39
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40
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.61.0/efficientnet_b4-qnn_dlc-w8a16.zip"
41
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42
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43
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