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WideResNet50

Image Classification
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v0.48.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.

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  1. README.md +75 -75
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: image-classification
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  WideResNet50 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.
16
 
17
  This is based on the implementation of WideResNet50 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
18
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/wideresnet50) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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.
21
 
@@ -28,26 +28,26 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
- | 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/wideresnet50/releases/v0.47.0/wideresnet50-onnx-float.zip)
32
- | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.47.0/wideresnet50-onnx-w8a8.zip)
33
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.47.0/wideresnet50-qnn_dlc-float.zip)
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- | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.47.0/wideresnet50-qnn_dlc-w8a8.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/wideresnet50/releases/v0.47.0/wideresnet50-tflite-float.zip)
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- | TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.47.0/wideresnet50-tflite-w8a8.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[WideResNet50 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/wideresnet50)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/wideresnet50) 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 [WideResNet50 on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/wideresnet50) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,73 +63,73 @@ See our repository for [WideResNet50 on GitHub](https://github.com/quic/ai-hub-m
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  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | WideResNet50 | ONNX | float | Snapdragon® X Elite | 4.462 ms | 132 - 132 MB | NPU
67
- | WideResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.455 ms | 0 - 224 MB | NPU
68
- | WideResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.575 ms | 1 - 3 MB | NPU
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- | WideResNet50 | ONNX | float | Qualcomm® QCS9075 | 6.773 ms | 0 - 4 MB | NPU
70
- | WideResNet50 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.819 ms | 0 - 170 MB | NPU
71
- | WideResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.648 ms | 1 - 189 MB | NPU
72
- | WideResNet50 | ONNX | float | Snapdragon® X2 Elite | 2.226 ms | 132 - 132 MB | NPU
73
- | WideResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 1.804 ms | 66 - 66 MB | NPU
74
- | WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.409 ms | 0 - 131 MB | NPU
75
- | WideResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 78.505 ms | 10 - 106 MB | CPU
76
- | WideResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.852 ms | 0 - 426 MB | NPU
77
- | WideResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 1.928 ms | 0 - 3 MB | NPU
78
- | WideResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 61.216 ms | 0 - 9 MB | CPU
79
- | WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.225 ms | 0 - 52 MB | NPU
80
- | WideResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 57.422 ms | 8 - 17 MB | CPU
81
- | WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.152 ms | 0 - 52 MB | NPU
82
- | WideResNet50 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.818 ms | 66 - 66 MB | NPU
83
- | WideResNet50 | QNN_DLC | float | Snapdragon® X Elite | 4.76 ms | 1 - 1 MB | NPU
84
- | WideResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.67 ms | 0 - 228 MB | NPU
85
- | WideResNet50 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 24.578 ms | 1 - 175 MB | NPU
86
- | WideResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.873 ms | 1 - 234 MB | NPU
87
- | WideResNet50 | QNN_DLC | float | Qualcomm® SA8775P | 7.182 ms | 1 - 170 MB | NPU
88
- | WideResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 7.109 ms | 1 - 3 MB | NPU
89
- | WideResNet50 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 9.206 ms | 0 - 197 MB | NPU
90
- | WideResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 24.578 ms | 1 - 175 MB | NPU
91
- | WideResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 7.883 ms | 1 - 153 MB | NPU
92
- | WideResNet50 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.932 ms | 0 - 177 MB | NPU
93
- | WideResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.531 ms | 0 - 171 MB | NPU
94
  | WideResNet50 | QNN_DLC | float | Snapdragon® X2 Elite | 2.523 ms | 1 - 1 MB | NPU
95
- | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.79 ms | 0 - 0 MB | NPU
96
- | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.413 ms | 93 - 218 MB | NPU
97
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 7.783 ms | 2 - 4 MB | NPU
98
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.953 ms | 0 - 51 MB | NPU
99
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.866 ms | 0 - 175 MB | NPU
100
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.004 ms | 0 - 52 MB | NPU
101
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.904 ms | 2 - 4 MB | NPU
102
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 18.691 ms | 0 - 212 MB | NPU
103
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.536 ms | 0 - 126 MB | NPU
104
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.953 ms | 0 - 51 MB | NPU
105
- | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.755 ms | 0 - 49 MB | NPU
106
- | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.204 ms | 0 - 53 MB | NPU
107
- | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.868 ms | 0 - 210 MB | NPU
108
- | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.082 ms | 0 - 53 MB | NPU
109
- | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.883 ms | 0 - 0 MB | NPU
110
- | WideResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.779 ms | 0 - 255 MB | NPU
111
- | WideResNet50 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 139.978 ms | 0 - 17 MB | GPU
112
- | WideResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 4.761 ms | 0 - 163 MB | NPU
113
- | WideResNet50 | TFLITE | float | Qualcomm® SA8775P | 7.018 ms | 0 - 116 MB | NPU
114
- | WideResNet50 | TFLITE | float | Qualcomm® QCS9075 | 7.072 ms | 0 - 134 MB | NPU
115
- | WideResNet50 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 8.187 ms | 0 - 228 MB | NPU
116
- | WideResNet50 | TFLITE | float | Qualcomm® SA7255P | 139.978 ms | 0 - 17 MB | GPU
117
- | WideResNet50 | TFLITE | float | Qualcomm® SA8295P | 7.69 ms | 0 - 101 MB | NPU
118
- | WideResNet50 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.852 ms | 0 - 115 MB | NPU
119
- | WideResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.505 ms | 0 - 117 MB | NPU
120
- | WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.291 ms | 0 - 128 MB | NPU
121
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 6.769 ms | 0 - 68 MB | NPU
122
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.725 ms | 0 - 50 MB | NPU
123
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.726 ms | 0 - 2 MB | NPU
124
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 6.516 ms | 0 - 50 MB | NPU
125
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.738 ms | 0 - 68 MB | NPU
126
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 16.208 ms | 0 - 211 MB | NPU
127
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.399 ms | 0 - 129 MB | NPU
128
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 3.725 ms | 0 - 50 MB | NPU
129
- | WideResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 2.581 ms | 0 - 48 MB | NPU
130
- | WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.111 ms | 0 - 54 MB | NPU
131
- | WideResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.74 ms | 0 - 205 MB | NPU
132
- | WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.043 ms | 0 - 52 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
133
 
134
  ## License
135
  * The license for the original implementation of WideResNet50 can be found
 
15
  WideResNet50 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.
16
 
17
  This is based on the implementation of WideResNet50 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
18
+ 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/wideresnet50) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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.
21
 
 
28
 
29
  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
+ | 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/wideresnet50/releases/v0.48.0/wideresnet50-onnx-float.zip)
32
+ | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.48.0/wideresnet50-onnx-w8a8.zip)
33
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.48.0/wideresnet50-qnn_dlc-float.zip)
34
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.48.0/wideresnet50-qnn_dlc-w8a8.zip)
35
+ | 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/wideresnet50/releases/v0.48.0/wideresnet50-tflite-float.zip)
36
+ | TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/wideresnet50/releases/v0.48.0/wideresnet50-tflite-w8a8.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[WideResNet50 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/wideresnet50)**.
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/wideresnet50) 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 [WideResNet50 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/wideresnet50) 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
+ | WideResNet50 | ONNX | float | Snapdragon® X2 Elite | 2.928 ms | 132 - 132 MB | NPU
67
+ | WideResNet50 | ONNX | float | Snapdragon® X Elite | 4.443 ms | 132 - 132 MB | NPU
68
+ | WideResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.487 ms | 0 - 227 MB | NPU
69
+ | WideResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.573 ms | 1 - 3 MB | NPU
70
+ | WideResNet50 | ONNX | float | Qualcomm® QCS9075 | 6.779 ms | 0 - 4 MB | NPU
71
+ | WideResNet50 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.818 ms | 0 - 168 MB | NPU
72
+ | WideResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.634 ms | 1 - 189 MB | NPU
73
+ | WideResNet50 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.811 ms | 66 - 66 MB | NPU
74
+ | WideResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 1.798 ms | 66 - 66 MB | NPU
75
+ | WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.415 ms | 0 - 131 MB | NPU
76
+ | WideResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 76.112 ms | 10 - 106 MB | CPU
77
+ | WideResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.853 ms | 0 - 42 MB | NPU
78
+ | WideResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 1.919 ms | 0 - 3 MB | NPU
79
+ | WideResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 61.279 ms | 10 - 19 MB | CPU
80
+ | WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.223 ms | 0 - 52 MB | NPU
81
+ | WideResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 58.096 ms | 8 - 17 MB | CPU
82
+ | WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.156 ms | 0 - 56 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
83
  | WideResNet50 | QNN_DLC | float | Snapdragon® X2 Elite | 2.523 ms | 1 - 1 MB | NPU
84
+ | WideResNet50 | QNN_DLC | float | Snapdragon® X Elite | 4.756 ms | 1 - 1 MB | NPU
85
+ | WideResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.647 ms | 0 - 227 MB | NPU
86
+ | WideResNet50 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 24.586 ms | 1 - 175 MB | NPU
87
+ | WideResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.864 ms | 1 - 2 MB | NPU
88
+ | WideResNet50 | QNN_DLC | float | Qualcomm® SA8775P | 7.16 ms | 1 - 170 MB | NPU
89
+ | WideResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 7.076 ms | 1 - 3 MB | NPU
90
+ | WideResNet50 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 9.2 ms | 0 - 197 MB | NPU
91
+ | WideResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 24.586 ms | 1 - 175 MB | NPU
92
+ | WideResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 7.903 ms | 1 - 153 MB | NPU
93
+ | WideResNet50 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.926 ms | 1 - 177 MB | NPU
94
+ | WideResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.544 ms | 1 - 172 MB | NPU
95
+ | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.871 ms | 0 - 0 MB | NPU
96
+ | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.801 ms | 0 - 0 MB | NPU
97
+ | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.42 ms | 0 - 127 MB | NPU
98
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 7.823 ms | 0 - 2 MB | NPU
99
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.953 ms | 0 - 52 MB | NPU
100
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.861 ms | 0 - 2 MB | NPU
101
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.008 ms | 0 - 52 MB | NPU
102
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.907 ms | 0 - 2 MB | NPU
103
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 17.133 ms | 0 - 212 MB | NPU
104
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.542 ms | 0 - 128 MB | NPU
105
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.953 ms | 0 - 52 MB | NPU
106
+ | WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.743 ms | 0 - 49 MB | NPU
107
+ | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.145 ms | 0 - 53 MB | NPU
108
+ | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.864 ms | 0 - 210 MB | NPU
109
+ | WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.099 ms | 0 - 53 MB | NPU
110
+ | WideResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.566 ms | 0 - 253 MB | NPU
111
+ | WideResNet50 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 23.673 ms | 0 - 115 MB | NPU
112
+ | WideResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 4.771 ms | 0 - 2 MB | NPU
113
+ | WideResNet50 | TFLITE | float | Qualcomm® SA8775P | 7.037 ms | 0 - 115 MB | NPU
114
+ | WideResNet50 | TFLITE | float | Qualcomm® QCS9075 | 7.064 ms | 0 - 134 MB | NPU
115
+ | WideResNet50 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 8.178 ms | 0 - 230 MB | NPU
116
+ | WideResNet50 | TFLITE | float | Qualcomm® SA7255P | 23.673 ms | 0 - 115 MB | NPU
117
+ | WideResNet50 | TFLITE | float | Qualcomm® SA8295P | 7.682 ms | 0 - 101 MB | NPU
118
+ | WideResNet50 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.881 ms | 0 - 120 MB | NPU
119
+ | WideResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.5 ms | 0 - 118 MB | NPU
120
+ | WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.319 ms | 0 - 128 MB | NPU
121
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 6.808 ms | 0 - 68 MB | NPU
122
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.776 ms | 0 - 50 MB | NPU
123
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.748 ms | 0 - 2 MB | NPU
124
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 1.902 ms | 0 - 51 MB | NPU
125
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.744 ms | 0 - 68 MB | NPU
126
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 16.895 ms | 0 - 211 MB | NPU
127
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.401 ms | 0 - 129 MB | NPU
128
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 3.776 ms | 0 - 50 MB | NPU
129
+ | WideResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 2.574 ms | 0 - 54 MB | NPU
130
+ | WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.112 ms | 0 - 52 MB | NPU
131
+ | WideResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.747 ms | 0 - 205 MB | NPU
132
+ | WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.05 ms | 0 - 53 MB | NPU
133
 
134
  ## License
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  * The license for the original implementation of WideResNet50 can be found