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Unet-Segmentation

Image Segmentation
PyTorch
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real_time
android
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v0.58.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.

Files changed (2) hide show
  1. README.md +104 -95
  2. release_assets.json +7 -7
README.md CHANGED
@@ -17,7 +17,7 @@ pipeline_tag: image-segmentation
17
  UNet is a machine learning model that produces a segmentation mask for an image. The most basic use case will label each pixel in the image as being in the foreground or the background. More advanced usage will assign a class label to each pixel. This version of the model was trained on the data from Kaggle's Carvana Image Masking Challenge (see https://www.kaggle.com/c/carvana-image-masking-challenge) and is used for vehicle segmentation.
18
 
19
  This is based on the implementation of Unet-Segmentation found [here](https://github.com/milesial/Pytorch-UNet).
20
- 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/v0.57.3/src/qai_hub_models/models/unet_segmentation) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
21
 
22
  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.
23
 
@@ -30,26 +30,26 @@ Below are pre-exported model assets ready for deployment.
30
 
31
  | Runtime | Precision | Chipset | SDK Versions | Download |
32
  |---|---|---|---|---|
33
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-onnx-float.zip)
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- | ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-onnx-w8a8.zip)
35
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-qnn_dlc-float.zip)
36
- | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-qnn_dlc-w8a8.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/unet_segmentation/releases/v0.57.3/unet_segmentation-tflite-float.zip)
38
- | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-tflite-w8a8.zip)
39
 
40
  For more device-specific assets and performance metrics, visit **[Unet-Segmentation on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/unet_segmentation)**.
41
 
42
 
43
  ### Option 2: Export with Custom Configurations
44
 
45
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/unet_segmentation) Python library to compile and export the model with your own:
46
  - Custom weights (e.g., fine-tuned checkpoints)
47
  - Custom input shapes
48
  - Target device and runtime configurations
49
 
50
  This option is ideal if you need to customize the model beyond the default configuration provided here.
51
 
52
- See our repository for [Unet-Segmentation on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/unet_segmentation) for usage instructions.
53
 
54
  ## Model Details
55
 
@@ -66,93 +66,102 @@ See our repository for [Unet-Segmentation on GitHub](https://github.com/qualcomm
66
  ## Performance Summary
67
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
68
  |---|---|---|---|---|---|---
69
- | Unet-Segmentation | ONNX | float | Snapdragon® X2 Elite | 74.947 ms | 171 - 171 MB | NPU
70
- | Unet-Segmentation | ONNX | float | Snapdragon® X Elite | 142.574 ms | 173 - 173 MB | NPU
71
- | Unet-Segmentation | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 113.477 ms | 24 - 534 MB | NPU
72
- | Unet-Segmentation | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 279.768 ms | 10 - 547 MB | NPU
73
- | Unet-Segmentation | ONNX | float | Qualcomm® QCS8550 (Proxy) | 149.803 ms | 0 - 62 MB | NPU
74
- | Unet-Segmentation | ONNX | float | Qualcomm® QCS8450 | 279.768 ms | 10 - 547 MB | NPU
75
- | Unet-Segmentation | ONNX | float | Snapdragon® 8 Elite Mobile | 90.992 ms | 15 - 334 MB | NPU
76
- | Unet-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 66.353 ms | 13 - 339 MB | NPU
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- | Unet-Segmentation | ONNX | float | Qualcomm® QCS9075 | 254.674 ms | 9 - 64 MB | NPU
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- | Unet-Segmentation | ONNX | float | Qualcomm® QCS8750 | 90.992 ms | 15 - 334 MB | NPU
79
- | Unet-Segmentation | ONNX | float | Qualcomm® QCS7181 | 142.574 ms | 173 - 173 MB | NPU
80
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® X2 Elite | 18.747 ms | 210 - 210 MB | NPU
81
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® X Elite | 37.643 ms | 179 - 179 MB | NPU
82
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 29.966 ms | 0 - 323 MB | NPU
83
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 66.58 ms | 0 - 325 MB | NPU
84
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS6490 | 271.558 ms | 4 - 49 MB | NPU
85
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 38.652 ms | 0 - 33 MB | NPU
86
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS8450 | 66.58 ms | 0 - 325 MB | NPU
87
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.442 ms | 3 - 187 MB | NPU
88
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 81.197 ms | 6 - 282 MB | NPU
89
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCM6690 | 1252.373 ms | 0 - 534 MB | NPU
90
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS9075 | 35.626 ms | 4 - 49 MB | NPU
91
- | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 24.504 ms | 3 - 190 MB | NPU
92
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS7790 | 81.197 ms | 6 - 282 MB | NPU
93
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS8750 | 24.504 ms | 3 - 190 MB | NPU
94
- | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS7181 | 37.643 ms | 179 - 179 MB | NPU
95
- | Unet-Segmentation | QNN_DLC | float | Snapdragon® X2 Elite | 71.761 ms | 9 - 9 MB | NPU
96
- | Unet-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 132.352 ms | 9 - 9 MB | NPU
97
- | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 102.412 ms | 9 - 524 MB | NPU
98
- | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 272.973 ms | 4 - 539 MB | NPU
99
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8275 | 953.516 ms | 1 - 324 MB | NPU
100
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 137.077 ms | 10 - 11 MB | NPU
101
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 | 272.973 ms | 4 - 539 MB | NPU
102
- | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 82.191 ms | 9 - 341 MB | NPU
103
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 274.442 ms | 0 - 323 MB | NPU
104
- | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 61.276 ms | 9 - 356 MB | NPU
105
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA7255P | 953.516 ms | 1 - 324 MB | NPU
106
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS9075 | 248.054 ms | 9 - 27 MB | NPU
107
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8750 | 82.191 ms | 9 - 341 MB | NPU
108
- | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS7181 | 132.352 ms | 9 - 9 MB | NPU
109
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 18.875 ms | 2 - 2 MB | NPU
110
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® X Elite | 35.775 ms | 2 - 2 MB | NPU
111
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.305 ms | 2 - 319 MB | NPU
112
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 59.676 ms | 3 - 317 MB | NPU
113
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 267.25 ms | 4 - 10 MB | NPU
114
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 121.518 ms | 1 - 180 MB | NPU
115
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 34.855 ms | 3 - 6 MB | NPU
116
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 59.676 ms | 3 - 317 MB | NPU
117
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 15.692 ms | 2 - 200 MB | NPU
118
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 78.865 ms | 2 - 272 MB | NPU
119
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1211.427 ms | 3 - 524 MB | NPU
120
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 35.056 ms | 2 - 8 MB | NPU
121
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA7255P | 121.518 ms | 1 - 180 MB | NPU
122
- | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 22.027 ms | 2 - 188 MB | NPU
123
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8295P | 63.758 ms | 0 - 180 MB | NPU
124
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS7790 | 78.865 ms | 2 - 272 MB | NPU
125
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8750 | 22.027 ms | 2 - 188 MB | NPU
126
- | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS7181 | 35.775 ms | 2 - 2 MB | NPU
127
- | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 105.463 ms | 6 - 577 MB | NPU
128
- | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 280.367 ms | 7 - 589 MB | NPU
129
- | Unet-Segmentation | TFLITE | float | Qualcomm® QCS8275 | 953.647 ms | 1 - 325 MB | NPU
130
- | Unet-Segmentation | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 138.416 ms | 6 - 443 MB | NPU
131
- | Unet-Segmentation | TFLITE | float | Qualcomm® SA8775P | 2218.877 ms | 3 - 21 MB | GPU
132
- | Unet-Segmentation | TFLITE | float | Qualcomm® SA8650P | 2218.877 ms | 3 - 21 MB | GPU
133
- | Unet-Segmentation | TFLITE | float | Qualcomm® SA8255P | 2218.877 ms | 3 - 21 MB | GPU
134
- | Unet-Segmentation | TFLITE | float | Qualcomm® QCS8450 | 280.367 ms | 7 - 589 MB | NPU
135
- | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Elite Mobile | 82.53 ms | 5 - 335 MB | NPU
136
- | Unet-Segmentation | TFLITE | float | Qualcomm® SA8295P | 274.486 ms | 7 - 329 MB | NPU
137
- | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 61.496 ms | 6 - 352 MB | NPU
138
- | Unet-Segmentation | TFLITE | float | Qualcomm® SA7255P | 953.647 ms | 1 - 325 MB | NPU
139
- | Unet-Segmentation | TFLITE | float | Qualcomm® QCS9075 | 248.287 ms | 0 - 80 MB | NPU
140
- | Unet-Segmentation | TFLITE | float | Qualcomm® QCS8750 | 82.53 ms | 5 - 335 MB | NPU
141
- | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.279 ms | 1 - 317 MB | NPU
142
- | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 60.395 ms | 2 - 317 MB | NPU
143
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS6490 | 267.778 ms | 2 - 41 MB | NPU
144
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8275 | 121.58 ms | 2 - 180 MB | NPU
145
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 32.11 ms | 2 - 4 MB | NPU
146
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8450 | 60.395 ms | 2 - 317 MB | NPU
147
- | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 15.745 ms | 2 - 199 MB | NPU
148
- | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 78.635 ms | 1 - 266 MB | NPU
149
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCM6690 | 1211.941 ms | 0 - 522 MB | NPU
150
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS9075 | 34.237 ms | 1 - 38 MB | NPU
151
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA7255P | 121.58 ms | 2 - 180 MB | NPU
152
- | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 21.725 ms | 2 - 188 MB | NPU
 
 
 
 
 
 
 
 
 
153
  | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8295P | 63.758 ms | 2 - 180 MB | NPU
154
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS7790 | 78.635 ms | 1 - 266 MB | NPU
155
- | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8750 | 21.725 ms | 2 - 188 MB | NPU
156
 
157
  ## License
158
  * The license for the original implementation of Unet-Segmentation can be found
 
17
  UNet is a machine learning model that produces a segmentation mask for an image. The most basic use case will label each pixel in the image as being in the foreground or the background. More advanced usage will assign a class label to each pixel. This version of the model was trained on the data from Kaggle's Carvana Image Masking Challenge (see https://www.kaggle.com/c/carvana-image-masking-challenge) and is used for vehicle segmentation.
18
 
19
  This is based on the implementation of Unet-Segmentation found [here](https://github.com/milesial/Pytorch-UNet).
20
+ 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/v0.58.0/src/qai_hub_models/models/unet_segmentation) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
21
 
22
  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.
23
 
 
30
 
31
  | Runtime | Precision | Chipset | SDK Versions | Download |
32
  |---|---|---|---|---|
33
+ | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.58.0/unet_segmentation-onnx-float.zip)
34
+ | ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.58.0/unet_segmentation-onnx-w8a8.zip)
35
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.58.0/unet_segmentation-qnn_dlc-float.zip)
36
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.58.0/unet_segmentation-qnn_dlc-w8a8.zip)
37
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.58.0/unet_segmentation-tflite-float.zip)
38
+ | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.58.0/unet_segmentation-tflite-w8a8.zip)
39
 
40
  For more device-specific assets and performance metrics, visit **[Unet-Segmentation on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/unet_segmentation)**.
41
 
42
 
43
  ### Option 2: Export with Custom Configurations
44
 
45
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/unet_segmentation) Python library to compile and export the model with your own:
46
  - Custom weights (e.g., fine-tuned checkpoints)
47
  - Custom input shapes
48
  - Target device and runtime configurations
49
 
50
  This option is ideal if you need to customize the model beyond the default configuration provided here.
51
 
52
+ See our repository for [Unet-Segmentation on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/unet_segmentation) for usage instructions.
53
 
54
  ## Model Details
55
 
 
66
  ## Performance Summary
67
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
68
  |---|---|---|---|---|---|---
69
+ | Unet-Segmentation | ONNX | float | Snapdragon® X2 Elite | 74.758 ms | 17 - 17 MB | NPU
70
+ | Unet-Segmentation | ONNX | float | Snapdragon® X Elite | 142.19 ms | 54 - 54 MB | NPU
71
+ | Unet-Segmentation | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 112.583 ms | 3 - 525 MB | NPU
72
+ | Unet-Segmentation | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 280.746 ms | 23 - 573 MB | NPU
73
+ | Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 149.053 ms | 0 - 58 MB | NPU
74
+ | Unet-Segmentation | ONNX | float | Qualcomm® QCS8450 | 280.746 ms | 23 - 573 MB | NPU
75
+ | Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 250.238 ms | 9 - 21 MB | NPU
76
+ | Unet-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 65.791 ms | 15 - 343 MB | NPU
77
+ | Unet-Segmentation | ONNX | float | Snapdragon® 8 Elite Mobile | 91.148 ms | 15 - 333 MB | NPU
78
+ | Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 91.148 ms | 15 - 333 MB | NPU
79
+ | Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 142.19 ms | 54 - 54 MB | NPU
80
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® X2 Elite | 18.765 ms | 5 - 5 MB | NPU
81
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® X Elite | 37.742 ms | 29 - 29 MB | NPU
82
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 29.539 ms | 6 - 339 MB | NPU
83
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 67.125 ms | 6 - 341 MB | NPU
84
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 299.926 ms | 3 - 8 MB | NPU
85
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 38.164 ms | 0 - 44 MB | NPU
86
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS8450 | 67.125 ms | 6 - 341 MB | NPU
87
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 24.427 ms | 3 - 189 MB | NPU
88
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 81.755 ms | 6 - 283 MB | NPU
89
+ | Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.664 ms | 3 - 192 MB | NPU
90
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 35.632 ms | 4 - 7 MB | NPU
91
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1212.612 ms | 0 - 540 MB | NPU
92
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 81.755 ms | 6 - 283 MB | NPU
93
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 24.427 ms | 3 - 189 MB | NPU
94
+ | Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 37.742 ms | 29 - 29 MB | NPU
95
+ | Unet-Segmentation | QNN_DLC | float | Snapdragon® X2 Elite | 71.814 ms | 9 - 9 MB | NPU
96
+ | Unet-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 132.427 ms | 9 - 9 MB | NPU
97
+ | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 102.328 ms | 9 - 523 MB | NPU
98
+ | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 269.147 ms | 4 - 538 MB | NPU
99
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8275 | 953.606 ms | 1 - 323 MB | NPU
100
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 136.602 ms | 10 - 12 MB | NPU
101
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8775P | 240.481 ms | 0 - 323 MB | NPU
102
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8650P | 240.481 ms | 0 - 323 MB | NPU
103
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8255P | 240.481 ms | 0 - 323 MB | NPU
104
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 | 269.147 ms | 4 - 538 MB | NPU
105
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 248.054 ms | 9 - 27 MB | NPU
106
+ | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 62.699 ms | 9 - 355 MB | NPU
107
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA7255P | 953.606 ms | 1 - 323 MB | NPU
108
+ | Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 82.425 ms | 9 - 341 MB | NPU
109
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 274.443 ms | 0 - 322 MB | NPU
110
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 82.425 ms | 9 - 341 MB | NPU
111
+ | Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 132.427 ms | 9 - 9 MB | NPU
112
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 18.85 ms | 2 - 2 MB | NPU
113
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® X Elite | 35.759 ms | 2 - 2 MB | NPU
114
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.158 ms | 2 - 319 MB | NPU
115
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 59.182 ms | 2 - 317 MB | NPU
116
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 289.343 ms | 2 - 8 MB | NPU
117
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 121.495 ms | 1 - 179 MB | NPU
118
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 34.862 ms | 2 - 4 MB | NPU
119
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8775P | 32.168 ms | 1 - 180 MB | NPU
120
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8650P | 32.168 ms | 1 - 180 MB | NPU
121
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8255P | 32.168 ms | 1 - 180 MB | NPU
122
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 59.182 ms | 2 - 317 MB | NPU
123
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 21.797 ms | 2 - 190 MB | NPU
124
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 78.995 ms | 2 - 272 MB | NPU
125
+ | Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.047 ms | 2 - 201 MB | NPU
126
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 32.518 ms | 1 - 7 MB | NPU
127
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1224.76 ms | 3 - 524 MB | NPU
128
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA7255P | 121.495 ms | 1 - 179 MB | NPU
129
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8295P | 63.754 ms | 0 - 179 MB | NPU
130
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 78.995 ms | 2 - 272 MB | NPU
131
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 21.797 ms | 2 - 190 MB | NPU
132
+ | Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 35.759 ms | 2 - 2 MB | NPU
133
+ | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 102.101 ms | 5 - 576 MB | NPU
134
+ | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 276.402 ms | 7 - 589 MB | NPU
135
+ | Unet-Segmentation | TFLITE | float | Qualcomm® QCS8275 | 953.406 ms | 0 - 324 MB | NPU
136
+ | Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 136.461 ms | 6 - 219 MB | NPU
137
+ | Unet-Segmentation | TFLITE | float | Qualcomm® SA8775P | 240.517 ms | 7 - 330 MB | NPU
138
+ | Unet-Segmentation | TFLITE | float | Qualcomm® SA8650P | 240.517 ms | 7 - 330 MB | NPU
139
+ | Unet-Segmentation | TFLITE | float | Qualcomm® SA8255P | 240.517 ms | 7 - 330 MB | NPU
140
+ | Unet-Segmentation | TFLITE | float | Qualcomm® QCS8450 | 276.402 ms | 7 - 589 MB | NPU
141
+ | Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 244.108 ms | 0 - 80 MB | NPU
142
+ | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 61.29 ms | 6 - 353 MB | NPU
143
+ | Unet-Segmentation | TFLITE | float | Qualcomm® SA7255P | 953.406 ms | 0 - 324 MB | NPU
144
+ | Unet-Segmentation | TFLITE | float | Snapdragon® 8 Elite Mobile | 82.365 ms | 0 - 331 MB | NPU
145
+ | Unet-Segmentation | TFLITE | float | Qualcomm® SA8295P | 274.471 ms | 7 - 328 MB | NPU
146
+ | Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 82.365 ms | 0 - 331 MB | NPU
147
+ | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.157 ms | 1 - 318 MB | NPU
148
+ | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 60.638 ms | 2 - 318 MB | NPU
149
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 288.989 ms | 1 - 41 MB | NPU
150
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8275 | 121.583 ms | 2 - 180 MB | NPU
151
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 34.611 ms | 2 - 4 MB | NPU
152
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8775P | 32.212 ms | 2 - 180 MB | NPU
153
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8650P | 32.212 ms | 2 - 180 MB | NPU
154
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8255P | 32.212 ms | 2 - 180 MB | NPU
155
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8450 | 60.638 ms | 2 - 318 MB | NPU
156
+ | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 22.028 ms | 2 - 188 MB | NPU
157
+ | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 78.944 ms | 1 - 264 MB | NPU
158
+ | Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.078 ms | 2 - 199 MB | NPU
159
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 32.629 ms | 1 - 38 MB | NPU
160
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1231.001 ms | 1 - 522 MB | NPU
161
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA7255P | 121.583 ms | 2 - 180 MB | NPU
162
  | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8295P | 63.758 ms | 2 - 180 MB | NPU
163
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 78.944 ms | 1 - 264 MB | NPU
164
+ | Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 22.028 ms | 2 - 188 MB | NPU
165
 
166
  ## License
167
  * The license for the original implementation of Unet-Segmentation can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
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@@ -8,20 +8,20 @@
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-tflite-float.zip"
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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/unet_segmentation/releases/v0.57.3/unet_segmentation-qnn_dlc-float.zip"
18
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  "onnx": {
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  "tool_versions": {
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-onnx-float.zip"
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26
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27
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@@ -32,20 +32,20 @@
32
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-tflite-w8a8.zip"
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  "tool_versions": {
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-qnn_dlc-w8a8.zip"
42
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44
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/unet_segmentation/releases/v0.57.3/unet_segmentation-onnx-w8a8.zip"
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  "tool_versions": {
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32
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