Hugging Face's logo

qualcomm
/
PSPNet

Image Segmentation
PyTorch
bu_auto
android
Model card Files
xet
 Community
qaihm-bot commited on
Commit
6fbffe7
·
verified ·
1 Parent(s): 6aadc53

v0.59.0

Browse files

See https://github.com/qualcomm/ai-hub-models/releases/v0.59.0 for changelog.

Files changed (2) hide show
  1. README.md +48 -96
  2. release_assets.json +6 -31
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-segmentation
14
 
15
  PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
16
 
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/v0.58.0/src/qai_hub_models/models/pspnet) 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 +27,23 @@ Below are pre-exported model assets ready for deployment.
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | 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/pspnet/releases/v0.58.0/pspnet-onnx-float.zip)
31
- | 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/pspnet/releases/v0.58.0/pspnet-onnx-w8a8.zip)
32
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-qnn_dlc-float.zip)
33
- | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-qnn_dlc-w8a8.zip)
34
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-tflite-float.zip)
35
- | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-tflite-w8a8.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[PSPNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pspnet)**.
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/v0.58.0/src/qai_hub_models/models/pspnet) 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 [PSPNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/pspnet) for usage instructions.
50
 
51
  ## Model Details
52
 
@@ -61,93 +58,48 @@ See our repository for [PSPNet on GitHub](https://github.com/qualcomm/ai-hub-mod
61
  ## Performance Summary
62
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
63
  |---|---|---|---|---|---|---
64
- | PSPNet | ONNX | float | Snapdragon® X2 Elite | 428.778 ms | 532 - 532 MB | NPU
65
- | PSPNet | ONNX | float | Snapdragon® X Elite | 693.19 ms | 528 - 528 MB | NPU
66
- | PSPNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 507.357 ms | 15 - 1000 MB | NPU
67
- | PSPNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1705.843 ms | 1 - 449 MB | NPU
68
- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 591.723 ms | 160 - 163 MB | NPU
69
- | PSPNet | ONNX | float | Qualcomm® QCS8450 | 1705.843 ms | 1 - 449 MB | NPU
70
- | PSPNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 321.374 ms | 262 - 1049 MB | NPU
71
- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1764.712 ms | 11 - 56 MB | NPU
72
- | PSPNet | ONNX | float | Snapdragon® 8 Elite Mobile | 337.626 ms | 271 - 1030 MB | NPU
73
- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 337.626 ms | 271 - 1030 MB | NPU
74
- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 693.19 ms | 528 - 528 MB | NPU
75
- | PSPNet | ONNX | w8a8 | Snapdragon® X2 Elite | 14.831 ms | 133 - 133 MB | NPU
76
- | PSPNet | ONNX | w8a8 | Snapdragon® X Elite | 27.702 ms | 132 - 132 MB | NPU
77
- | PSPNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 22.249 ms | 31 - 445 MB | NPU
78
- | PSPNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 41.042 ms | 26 - 431 MB | NPU
79
- | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 29.888 ms | 69 - 72 MB | NPU
80
- | PSPNet | ONNX | w8a8 | Qualcomm® QCS8450 | 41.042 ms | 26 - 431 MB | NPU
81
- | PSPNet | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 18.766 ms | 70 - 341 MB | NPU
82
- | PSPNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 93.034 ms | 73 - 605 MB | NPU
83
- | PSPNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.687 ms | 69 - 413 MB | NPU
84
- | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 93.034 ms | 73 - 605 MB | NPU
85
- | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 18.766 ms | 70 - 341 MB | NPU
86
- | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 27.702 ms | 132 - 132 MB | NPU
87
- | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 33.674 ms | 73 - 118 MB | NPU
88
- | PSPNet | QNN_DLC | float | Snapdragon® X2 Elite | 228.176 ms | 3 - 3 MB | NPU
89
- | PSPNet | QNN_DLC | float | Snapdragon® X Elite | 532.47 ms | 3 - 3 MB | NPU
90
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 401.396 ms | 1 - 950 MB | NPU
91
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1703.918 ms | 0 - 438 MB | NPU
92
- | PSPNet | QNN_DLC | float | Qualcomm® QCS8275 | 1330.552 ms | 2 - 727 MB | NPU
93
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 593.111 ms | 3 - 5 MB | NPU
94
- | PSPNet | QNN_DLC | float | Qualcomm® QCS8450 | 1703.918 ms | 0 - 438 MB | NPU
95
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 267.5 ms | 3 - 757 MB | NPU
96
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1762.009 ms | 3 - 135 MB | NPU
97
- | PSPNet | QNN_DLC | float | Qualcomm® SA7255P | 1330.552 ms | 2 - 727 MB | NPU
98
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 302.172 ms | 0 - 724 MB | NPU
99
- | PSPNet | QNN_DLC | float | Qualcomm® SA8295P | 701.273 ms | 3 - 329 MB | NPU
100
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 302.172 ms | 0 - 724 MB | NPU
101
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 532.47 ms | 3 - 3 MB | NPU
102
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 14.561 ms | 1 - 1 MB | NPU
103
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 26.381 ms | 1 - 1 MB | NPU
104
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 20.421 ms | 1 - 354 MB | NPU
105
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 37.647 ms | 1 - 353 MB | NPU
106
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 63.865 ms | 1 - 259 MB | NPU
107
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 27.107 ms | 1 - 8 MB | NPU
108
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 28.032 ms | 1 - 261 MB | NPU
109
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 28.032 ms | 1 - 261 MB | NPU
110
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 28.032 ms | 1 - 261 MB | NPU
111
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 37.647 ms | 1 - 353 MB | NPU
112
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 17.906 ms | 1 - 231 MB | NPU
113
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 90.98 ms | 1 - 438 MB | NPU
114
- | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 15.201 ms | 1 - 312 MB | NPU
115
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 63.865 ms | 1 - 259 MB | NPU
116
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 38.471 ms | 1 - 263 MB | NPU
117
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 90.98 ms | 1 - 438 MB | NPU
118
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 17.906 ms | 1 - 231 MB | NPU
119
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 26.381 ms | 1 - 1 MB | NPU
120
- | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 31.773 ms | 1 - 35 MB | NPU
121
- | PSPNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 405.108 ms | 119 - 1113 MB | NPU
122
- | PSPNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1505.632 ms | 14 - 563 MB | NPU
123
- | PSPNet | TFLITE | float | Qualcomm® QCS8275 | 1332.489 ms | 128 - 901 MB | NPU
124
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 594.916 ms | 128 - 132 MB | NPU
125
- | PSPNet | TFLITE | float | Qualcomm® SA8775P | 649.209 ms | 128 - 901 MB | NPU
126
- | PSPNet | TFLITE | float | Qualcomm® SA8650P | 649.209 ms | 128 - 901 MB | NPU
127
- | PSPNet | TFLITE | float | Qualcomm® SA8255P | 649.209 ms | 128 - 901 MB | NPU
128
- | PSPNet | TFLITE | float | Qualcomm® QCS8450 | 1505.632 ms | 14 - 563 MB | NPU
129
- | PSPNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 269.126 ms | 110 - 911 MB | NPU
130
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 646.334 ms | 74 - 342 MB | NPU
131
- | PSPNet | TFLITE | float | Qualcomm® SA7255P | 1332.489 ms | 128 - 901 MB | NPU
132
- | PSPNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 302.274 ms | 110 - 883 MB | NPU
133
- | PSPNet | TFLITE | float | Qualcomm® SA8295P | 754.444 ms | 128 - 556 MB | NPU
134
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 302.274 ms | 110 - 883 MB | NPU
135
- | PSPNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 20.505 ms | 30 - 391 MB | NPU
136
- | PSPNet | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 37.365 ms | 30 - 385 MB | NPU
137
- | PSPNet | TFLITE | w8a8 | Qualcomm® QCS8275 | 63.972 ms | 32 - 283 MB | NPU
138
- | PSPNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 26.771 ms | 32 - 34 MB | NPU
139
- | PSPNet | TFLITE | w8a8 | Qualcomm® SA8775P | 27.873 ms | 32 - 283 MB | NPU
140
- | PSPNet | TFLITE | w8a8 | Qualcomm® SA8650P | 27.873 ms | 32 - 283 MB | NPU
141
- | PSPNet | TFLITE | w8a8 | Qualcomm® SA8255P | 27.873 ms | 32 - 283 MB | NPU
142
- | PSPNet | TFLITE | w8a8 | Qualcomm® QCS8450 | 37.365 ms | 30 - 385 MB | NPU
143
- | PSPNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 19.215 ms | 32 - 269 MB | NPU
144
- | PSPNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 90.62 ms | 32 - 447 MB | NPU
145
- | PSPNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 15.148 ms | 32 - 318 MB | NPU
146
- | PSPNet | TFLITE | w8a8 | Qualcomm® SA7255P | 63.972 ms | 32 - 283 MB | NPU
147
- | PSPNet | TFLITE | w8a8 | Qualcomm® SA8295P | 38.217 ms | 23 - 276 MB | NPU
148
- | PSPNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 90.62 ms | 32 - 447 MB | NPU
149
- | PSPNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 19.215 ms | 32 - 269 MB | NPU
150
- | PSPNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 41.107 ms | 32 - 132 MB | NPU
151
 
152
  ## License
153
  * The license for the original implementation of PSPNet can be found
 
14
 
15
  PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
16
 
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/v0.59.0/src/qai_hub_models/models/pspnet) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.59.0/pspnet-onnx-float.zip)
31
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.59.0/pspnet-qnn_dlc-float.zip)
32
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.59.0/pspnet-tflite-float.zip)
 
 
 
33
 
34
  For more device-specific assets and performance metrics, visit **[PSPNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pspnet)**.
35
 
36
 
37
  ### Option 2: Export with Custom Configurations
38
 
39
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/pspnet) Python library to compile and export the model with your own:
40
  - Custom weights (e.g., fine-tuned checkpoints)
41
  - Custom input shapes
42
  - Target device and runtime configurations
43
 
44
  This option is ideal if you need to customize the model beyond the default configuration provided here.
45
 
46
+ See our repository for [PSPNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/pspnet) for usage instructions.
47
 
48
  ## Model Details
49
 
 
58
  ## Performance Summary
59
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
60
  |---|---|---|---|---|---|---
61
+ | PSPNet | ONNX | float | Snapdragon® X2 Elite | 835.974 ms | 528 - 528 MB | NPU
62
+ | PSPNet | ONNX | float | Snapdragon® X Elite | 1334.498 ms | 267 - 267 MB | NPU
63
+ | PSPNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 956.615 ms | 142 - 1994 MB | NPU
64
+ | PSPNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3276.923 ms | 34 - 887 MB | NPU
65
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1164.165 ms | 0 - 160 MB | NPU
66
+ | PSPNet | ONNX | float | Qualcomm® QCS8450 | 3276.923 ms | 34 - 887 MB | NPU
67
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1417.954 ms | 124 - 130 MB | NPU
68
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1334.498 ms | 267 - 267 MB | NPU
69
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 649.02 ms | 133 - 1599 MB | NPU
70
+ | PSPNet | ONNX | float | Snapdragon® 8 Elite Mobile | 649.02 ms | 133 - 1599 MB | NPU
71
+ | PSPNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 718.907 ms | 244 - 1842 MB | NPU
72
+ | PSPNet | QNN_DLC | float | Snapdragon® X2 Elite | 2497.872 ms | 3 - 3 MB | NPU
73
+ | PSPNet | QNN_DLC | float | Snapdragon® X Elite | 2536.944 ms | 3 - 3 MB | NPU
74
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1836.59 ms | 25 - 1690 MB | NPU
75
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1595.526 ms | 0 - 851 MB | NPU
76
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 5274.515 ms | 13 - 1329 MB | NPU
77
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2479.634 ms | 3 - 6 MB | NPU
78
+ | PSPNet | QNN_DLC | float | Qualcomm® SA8775P | 2606.587 ms | 2 - 1319 MB | NPU
79
+ | PSPNet | QNN_DLC | float | Qualcomm® SA8650P | 2606.587 ms | 2 - 1319 MB | NPU
80
+ | PSPNet | QNN_DLC | float | Qualcomm® SA8255P | 2606.587 ms | 2 - 1319 MB | NPU
81
+ | PSPNet | QNN_DLC | float | Qualcomm® QCS8450 | 1595.526 ms | 0 - 851 MB | NPU
82
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 2593.163 ms | 3 - 135 MB | NPU
83
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2536.944 ms | 3 - 3 MB | NPU
84
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2177.701 ms | 0 - 1311 MB | NPU
85
+ | PSPNet | QNN_DLC | float | Qualcomm® SA7255P | 5274.515 ms | 13 - 1329 MB | NPU
86
+ | PSPNet | QNN_DLC | float | Qualcomm® SA8295P | 1357.596 ms | 3 - 647 MB | NPU
87
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2177.701 ms | 0 - 1311 MB | NPU
88
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2340.9 ms | 0 - 1369 MB | NPU
89
+ | PSPNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2104.97 ms | 1 - 1707 MB | NPU
90
+ | PSPNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1856.683 ms | 1 - 934 MB | NPU
91
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 5962.221 ms | 110 - 1507 MB | NPU
92
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2829.444 ms | 0 - 4 MB | NPU
93
+ | PSPNet | TFLITE | float | Qualcomm® SA8775P | 2955.535 ms | 111 - 1509 MB | NPU
94
+ | PSPNet | TFLITE | float | Qualcomm® SA8650P | 2955.535 ms | 111 - 1509 MB | NPU
95
+ | PSPNet | TFLITE | float | Qualcomm® SA8255P | 2955.535 ms | 111 - 1509 MB | NPU
96
+ | PSPNet | TFLITE | float | Qualcomm® QCS8450 | 1856.683 ms | 1 - 934 MB | NPU
97
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2938.747 ms | 64 - 339 MB | NPU
98
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2172.868 ms | 1 - 1409 MB | NPU
99
+ | PSPNet | TFLITE | float | Qualcomm® SA7255P | 5962.221 ms | 110 - 1507 MB | NPU
100
+ | PSPNet | TFLITE | float | Qualcomm® SA8295P | 1414.274 ms | 128 - 837 MB | NPU
101
+ | PSPNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 2172.868 ms | 1 - 1409 MB | NPU
102
+ | PSPNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2329.061 ms | 0 - 1451 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
103
 
104
  ## License
105
  * The license for the original implementation of PSPNet can be found
release_assets.json CHANGED
@@ -1,51 +1,26 @@
1
  {
2
- "version": "0.58.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
6
- "tflite": {
7
  "tool_versions": {
8
  "qairt": "2.45.0.260326154327",
9
- "litert": "1.4.4"
10
  },
11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-tflite-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/pspnet/releases/v0.58.0/pspnet-qnn_dlc-float.zip"
18
  },
19
- "onnx": {
20
- "tool_versions": {
21
- "qairt": "2.45.0.260326154327",
22
- "onnx_runtime": "1.25.0"
23
- },
24
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-onnx-float.zip"
25
- }
26
- }
27
- },
28
- "w8a8": {
29
- "universal_assets": {
30
  "tflite": {
31
- "tool_versions": {
32
- "qairt": "2.45.0.260326154327",
33
- "litert": "1.4.4"
34
- },
35
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-tflite-w8a8.zip"
36
- },
37
- "qnn_dlc": {
38
  "tool_versions": {
39
  "qairt": "2.45.0.260326154327"
40
  },
41
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-qnn_dlc-w8a8.zip"
42
- },
43
- "onnx": {
44
- "tool_versions": {
45
- "qairt": "2.45.0.260326154327",
46
- "onnx_runtime": "1.25.0"
47
- },
48
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.58.0/pspnet-onnx-w8a8.zip"
49
  }
50
  }
51
  }
 
1
  {
2
+ "version": "0.59.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
6
+ "onnx": {
7
  "tool_versions": {
8
  "qairt": "2.45.0.260326154327",
9
+ "onnx_runtime": "1.27.1"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.59.0/pspnet-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/pspnet/releases/v0.59.0/pspnet-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/pspnet/releases/v0.59.0/pspnet-tflite-float.zip"
 
 
 
 
 
 
 
24
  }
25
  }
26
  }