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FCN-ResNet50

Image Segmentation
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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 +75 -75
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-segmentation
14
  FCN_ResNet50 is a machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.
15
 
16
  This is based on the implementation of FCN-ResNet50 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/fcn.py).
17
- 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/fcn_resnet50) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  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.
20
 
@@ -27,26 +27,26 @@ Below are pre-exported model assets ready for deployment.
27
 
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  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | 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/fcn_resnet50/releases/v0.48.0/fcn_resnet50-onnx-float.zip)
31
- | 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/fcn_resnet50/releases/v0.48.0/fcn_resnet50-onnx-w8a8.zip)
32
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fcn_resnet50/releases/v0.48.0/fcn_resnet50-qnn_dlc-float.zip)
33
- | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fcn_resnet50/releases/v0.48.0/fcn_resnet50-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/fcn_resnet50/releases/v0.48.0/fcn_resnet50-tflite-float.zip)
35
- | 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/fcn_resnet50/releases/v0.48.0/fcn_resnet50-tflite-w8a8.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[FCN-ResNet50 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fcn_resnet50)**.
38
 
39
 
40
  ### Option 2: Export with Custom Configurations
41
 
42
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/fcn_resnet50) Python library to compile and export the model with your own:
43
  - Custom weights (e.g., fine-tuned checkpoints)
44
  - Custom input shapes
45
  - Target device and runtime configurations
46
 
47
  This option is ideal if you need to customize the model beyond the default configuration provided here.
48
 
49
- See our repository for [FCN-ResNet50 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/fcn_resnet50) for usage instructions.
50
 
51
  ## Model Details
52
 
@@ -63,73 +63,73 @@ See our repository for [FCN-ResNet50 on GitHub](https://github.com/qualcomm/ai-h
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  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | FCN-ResNet50 | ONNX | float | Snapdragon® X2 Elite | 23.447 ms | 63 - 63 MB | NPU
67
- | FCN-ResNet50 | ONNX | float | Snapdragon® X Elite | 43.269 ms | 62 - 62 MB | NPU
68
- | FCN-ResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 32.581 ms | 0 - 378 MB | NPU
69
- | FCN-ResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 43.247 ms | 3 - 6 MB | NPU
70
- | FCN-ResNet50 | ONNX | float | Qualcomm® QCS9075 | 75.296 ms | 3 - 9 MB | NPU
71
- | FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 26.716 ms | 1 - 309 MB | NPU
72
- | FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 22.542 ms | 4 - 325 MB | NPU
73
- | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X2 Elite | 7.109 ms | 33 - 33 MB | NPU
74
- | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 13.851 ms | 32 - 32 MB | NPU
75
- | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 10.035 ms | 0 - 279 MB | NPU
76
- | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 912.318 ms | 66 - 110 MB | CPU
77
- | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 13.534 ms | 1 - 4 MB | NPU
78
- | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 15.135 ms | 1 - 4 MB | NPU
79
- | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 835.668 ms | 66 - 74 MB | CPU
80
- | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.613 ms | 1 - 203 MB | NPU
81
- | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 703.386 ms | 69 - 78 MB | CPU
82
- | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.057 ms | 0 - 248 MB | NPU
83
- | FCN-ResNet50 | QNN_DLC | float | Snapdragon® X2 Elite | 22.759 ms | 3 - 3 MB | NPU
 
84
  | FCN-ResNet50 | QNN_DLC | float | Snapdragon® X Elite | 44.235 ms | 3 - 3 MB | NPU
85
- | FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 33.595 ms | 3 - 387 MB | NPU
86
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 272.3 ms | 1 - 304 MB | NPU
87
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 44.873 ms | 3 - 33 MB | NPU
88
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8775P | 72.455 ms | 1 - 305 MB | NPU
89
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 78.99 ms | 5 - 10 MB | NPU
90
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 84.255 ms | 3 - 280 MB | NPU
91
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 272.3 ms | 1 - 304 MB | NPU
92
- | FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 77.735 ms | 0 - 218 MB | NPU
93
- | FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 26.506 ms | 0 - 319 MB | NPU
94
- | FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 21.795 ms | 2 - 330 MB | NPU
95
- | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 7.88 ms | 1 - 1 MB | NPU
96
- | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 15.169 ms | 1 - 1 MB | NPU
97
- | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.475 ms | 1 - 268 MB | NPU
98
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 93.25 ms | 3 - 5 MB | NPU
99
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 39.566 ms | 1 - 205 MB | NPU
100
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.992 ms | 1 - 3 MB | NPU
101
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 64.676 ms | 1 - 215 MB | NPU
102
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 16.846 ms | 1 - 3 MB | NPU
103
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 416.057 ms | 1 - 347 MB | NPU
104
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 24.324 ms | 1 - 266 MB | NPU
105
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 39.566 ms | 1 - 205 MB | NPU
106
- | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 22.131 ms | 1 - 209 MB | NPU
107
- | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.868 ms | 0 - 200 MB | NPU
108
- | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 25.738 ms | 1 - 280 MB | NPU
109
- | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.554 ms | 1 - 245 MB | NPU
110
- | FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 33.053 ms | 0 - 427 MB | NPU
111
- | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 272.32 ms | 0 - 332 MB | NPU
112
- | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 44.582 ms | 0 - 3 MB | NPU
113
- | FCN-ResNet50 | TFLITE | float | Qualcomm® SA8775P | 72.525 ms | 0 - 331 MB | NPU
114
- | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS9075 | 77.893 ms | 0 - 71 MB | NPU
115
- | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 84.829 ms | 0 - 318 MB | NPU
116
- | FCN-ResNet50 | TFLITE | float | Qualcomm® SA7255P | 272.32 ms | 0 - 332 MB | NPU
117
- | FCN-ResNet50 | TFLITE | float | Qualcomm® SA8295P | 77.792 ms | 0 - 246 MB | NPU
118
- | FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 27.206 ms | 0 - 343 MB | NPU
119
- | FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.506 ms | 0 - 351 MB | NPU
120
- | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.056 ms | 0 - 270 MB | NPU
121
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 94.88 ms | 0 - 39 MB | NPU
122
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 38.248 ms | 0 - 206 MB | NPU
123
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.338 ms | 0 - 2 MB | NPU
124
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 62.896 ms | 0 - 205 MB | NPU
125
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 15.34 ms | 0 - 35 MB | NPU
126
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 426.83 ms | 0 - 353 MB | NPU
127
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 23.255 ms | 0 - 267 MB | NPU
128
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 38.248 ms | 0 - 206 MB | NPU
129
- | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 21.364 ms | 0 - 209 MB | NPU
130
- | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.551 ms | 0 - 197 MB | NPU
131
- | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 26.585 ms | 0 - 282 MB | NPU
132
- | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.164 ms | 0 - 246 MB | NPU
133
 
134
  ## License
135
  * The license for the original implementation of FCN-ResNet50 can be found
 
14
  FCN_ResNet50 is a machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.
15
 
16
  This is based on the implementation of FCN-ResNet50 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/fcn.py).
17
+ 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/fcn_resnet50) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  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.
20
 
 
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
+ | 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/fcn_resnet50/releases/v0.49.1/fcn_resnet50-onnx-float.zip)
31
+ | 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/fcn_resnet50/releases/v0.49.1/fcn_resnet50-onnx-w8a8.zip)
32
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fcn_resnet50/releases/v0.49.1/fcn_resnet50-qnn_dlc-float.zip)
33
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fcn_resnet50/releases/v0.49.1/fcn_resnet50-qnn_dlc-w8a8.zip)
34
+ | 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/fcn_resnet50/releases/v0.49.1/fcn_resnet50-tflite-float.zip)
35
+ | 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/fcn_resnet50/releases/v0.49.1/fcn_resnet50-tflite-w8a8.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[FCN-ResNet50 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fcn_resnet50)**.
38
 
39
 
40
  ### Option 2: Export with Custom Configurations
41
 
42
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/fcn_resnet50) Python library to compile and export the model with your own:
43
  - Custom weights (e.g., fine-tuned checkpoints)
44
  - Custom input shapes
45
  - Target device and runtime configurations
46
 
47
  This option is ideal if you need to customize the model beyond the default configuration provided here.
48
 
49
+ See our repository for [FCN-ResNet50 on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/fcn_resnet50) for usage instructions.
50
 
51
  ## Model Details
52
 
 
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
+ | FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 22.907 ms | 4 - 325 MB | NPU
67
+ | FCN-ResNet50 | ONNX | float | Snapdragon® X2 Elite | 23.315 ms | 63 - 63 MB | NPU
68
+ | FCN-ResNet50 | ONNX | float | Snapdragon® X Elite | 43.183 ms | 62 - 62 MB | NPU
69
+ | FCN-ResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 32.653 ms | 1 - 382 MB | NPU
70
+ | FCN-ResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 43.012 ms | 3 - 11 MB | NPU
71
+ | FCN-ResNet50 | ONNX | float | Qualcomm® QCS9075 | 75.149 ms | 3 - 9 MB | NPU
72
+ | FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 26.786 ms | 1 - 297 MB | NPU
73
+ | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.063 ms | 1 - 249 MB | NPU
74
+ | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X2 Elite | 7.115 ms | 33 - 33 MB | NPU
75
+ | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 13.857 ms | 32 - 32 MB | NPU
76
+ | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 10.018 ms | 1 - 280 MB | NPU
77
+ | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 897.613 ms | 68 - 110 MB | CPU
78
+ | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 13.52 ms | 0 - 21 MB | NPU
79
+ | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 15.137 ms | 1 - 4 MB | NPU
80
+ | FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 839.434 ms | 48 - 57 MB | CPU
81
+ | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.556 ms | 1 - 205 MB | NPU
82
+ | FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 705.649 ms | 73 - 82 MB | CPU
83
+ | FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 21.759 ms | 2 - 331 MB | NPU
84
+ | FCN-ResNet50 | QNN_DLC | float | Snapdragon® X2 Elite | 22.764 ms | 3 - 3 MB | NPU
85
  | FCN-ResNet50 | QNN_DLC | float | Snapdragon® X Elite | 44.235 ms | 3 - 3 MB | NPU
86
+ | FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 33.279 ms | 0 - 384 MB | NPU
87
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 272.271 ms | 1 - 304 MB | NPU
88
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 44.391 ms | 3 - 5 MB | NPU
89
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8775P | 72.461 ms | 1 - 304 MB | NPU
90
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 78.746 ms | 3 - 8 MB | NPU
91
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 84.153 ms | 2 - 278 MB | NPU
92
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 272.271 ms | 1 - 304 MB | NPU
93
+ | FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 77.744 ms | 0 - 217 MB | NPU
94
+ | FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 26.371 ms | 0 - 318 MB | NPU
95
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.547 ms | 1 - 245 MB | NPU
96
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 7.831 ms | 1 - 1 MB | NPU
97
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 15.211 ms | 1 - 1 MB | NPU
98
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.422 ms | 1 - 265 MB | NPU
99
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 92.897 ms | 1 - 3 MB | NPU
100
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 39.517 ms | 1 - 205 MB | NPU
101
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.967 ms | 1 - 3 MB | NPU
102
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 14.691 ms | 1 - 215 MB | NPU
103
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 16.846 ms | 3 - 5 MB | NPU
104
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 386.21 ms | 1 - 347 MB | NPU
105
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 23.809 ms | 1 - 267 MB | NPU
106
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 39.517 ms | 1 - 205 MB | NPU
107
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 22.147 ms | 1 - 209 MB | NPU
108
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.867 ms | 1 - 201 MB | NPU
109
+ | FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 25.958 ms | 1 - 281 MB | NPU
110
+ | FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.472 ms | 0 - 355 MB | NPU
111
+ | FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 33.045 ms | 0 - 428 MB | NPU
112
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 272.405 ms | 0 - 332 MB | NPU
113
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 44.279 ms | 0 - 7 MB | NPU
114
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® SA8775P | 72.53 ms | 0 - 331 MB | NPU
115
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS9075 | 77.969 ms | 0 - 71 MB | NPU
116
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 84.925 ms | 0 - 317 MB | NPU
117
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® SA7255P | 272.405 ms | 0 - 332 MB | NPU
118
+ | FCN-ResNet50 | TFLITE | float | Qualcomm® SA8295P | 77.796 ms | 0 - 246 MB | NPU
119
+ | FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 27.063 ms | 0 - 343 MB | NPU
120
+ | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.145 ms | 0 - 247 MB | NPU
121
+ | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.04 ms | 0 - 267 MB | NPU
122
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 94.783 ms | 0 - 39 MB | NPU
123
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 38.268 ms | 0 - 206 MB | NPU
124
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.405 ms | 0 - 3 MB | NPU
125
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 14.726 ms | 0 - 205 MB | NPU
126
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 14.958 ms | 0 - 35 MB | NPU
127
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 450.037 ms | 0 - 352 MB | NPU
128
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 23.158 ms | 0 - 269 MB | NPU
129
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 38.268 ms | 0 - 206 MB | NPU
130
+ | FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 21.372 ms | 0 - 210 MB | NPU
131
+ | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.54 ms | 0 - 201 MB | NPU
132
+ | FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 26.682 ms | 0 - 282 MB | NPU
 
133
 
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  ## License
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  * The license for the original implementation of FCN-ResNet50 can be found