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Swin-Base

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v0.64.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.64.0 for changelog.

Files changed (2) hide show
  1. README.md +79 -75
  2. release_assets.json +8 -8
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
16
  SwinBase 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 Swin-Base found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.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/v0.63.0/src/qai_hub_models/models/swin_base) 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 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-onnx-float.zip)
33
- | ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-onnx-w8a16.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-qnn_dlc-float.zip)
35
- | QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-qnn_dlc-w8a16.zip)
36
- | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[Swin-Base on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/swin_base)**.
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/v0.63.0/src/qai_hub_models/models/swin_base) 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 [Swin-Base on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/swin_base) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,75 +63,79 @@ See our repository for [Swin-Base on GitHub](https://github.com/qualcomm/ai-hub-
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | Swin-Base | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.64 ms | 0 - 398 MB | NPU
67
- | Swin-Base | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.496 ms | 1 - 383 MB | NPU
68
- | Swin-Base | ONNX | float | Snapdragon® X2 Elite | 7.826 ms | 2 - 2 MB | NPU
69
- | Swin-Base | ONNX | float | Snapdragon® X Elite | 19.463 ms | 175 - 175 MB | NPU
70
- | Swin-Base | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 13.021 ms | 0 - 538 MB | NPU
71
- | Swin-Base | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 28.691 ms | 1 - 530 MB | NPU
72
- | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 20.609 ms | 0 - 5 MB | NPU
73
- | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.857 ms | 0 - 194 MB | NPU
74
- | Swin-Base | ONNX | float | Qualcomm® QCS8450 | 28.691 ms | 1 - 530 MB | NPU
75
- | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 21.825 ms | 0 - 4 MB | NPU
76
- | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 19.463 ms | 175 - 175 MB | NPU
77
- | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.496 ms | 1 - 383 MB | NPU
78
- | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 6.04 ms | 0 - 414 MB | NPU
79
- | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 8.057 ms | 0 - 402 MB | NPU
80
- | Swin-Base | ONNX | w8a16 | Snapdragon® X2 Elite | 6.213 ms | 1 - 1 MB | NPU
81
- | Swin-Base | ONNX | w8a16 | Snapdragon® X Elite | 16.078 ms | 91 - 91 MB | NPU
82
- | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 10.66 ms | 0 - 542 MB | NPU
83
- | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 20.508 ms | 0 - 539 MB | NPU
84
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 38.643 ms | 0 - 4 MB | NPU
85
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 14.105 ms | 0 - 5 MB | NPU
86
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.525 ms | 0 - 99 MB | NPU
87
- | Swin-Base | ONNX | w8a16 | Qualcomm® QCS8450 | 20.508 ms | 0 - 539 MB | NPU
88
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 16.281 ms | 0 - 4 MB | NPU
89
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 16.078 ms | 91 - 91 MB | NPU
90
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 86.579 ms | 0 - 662 MB | NPU
91
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 17.898 ms | 0 - 606 MB | NPU
92
- | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 8.057 ms | 0 - 402 MB | NPU
93
- | Swin-Base | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 17.898 ms | 0 - 606 MB | NPU
94
- | Swin-Base | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.201 ms | 0 - 368 MB | NPU
95
- | Swin-Base | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 8.958 ms | 0 - 352 MB | NPU
96
- | Swin-Base | QNN_DLC | float | Snapdragon® X2 Elite | 7.904 ms | 1 - 1 MB | NPU
97
- | Swin-Base | QNN_DLC | float | Snapdragon® X Elite | 18.618 ms | 1 - 1 MB | NPU
98
- | Swin-Base | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.209 ms | 0 - 503 MB | NPU
99
- | Swin-Base | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 27.906 ms | 0 - 493 MB | NPU
100
- | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 20.082 ms | 1 - 4 MB | NPU
101
- | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.871 ms | 1 - 3 MB | NPU
102
- | Swin-Base | QNN_DLC | float | Qualcomm® QCS8450 | 27.906 ms | 0 - 493 MB | NPU
103
- | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 20.55 ms | 1 - 3 MB | NPU
104
- | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 18.618 ms | 1 - 1 MB | NPU
105
- | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 8.958 ms | 0 - 352 MB | NPU
106
- | Swin-Base | QNN_DLC | float | Qualcomm® SA8295P | 26.96 ms | 1 - 343 MB | NPU
107
- | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.132 ms | 0 - 403 MB | NPU
108
- | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 9.23 ms | 0 - 387 MB | NPU
109
- | Swin-Base | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 8.405 ms | 0 - 0 MB | NPU
110
- | Swin-Base | QNN_DLC | w8a16 | Snapdragon® X Elite | 20.234 ms | 0 - 0 MB | NPU
111
- | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 12.993 ms | 0 - 513 MB | NPU
112
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 17.572 ms | 0 - 4 MB | NPU
113
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 19.313 ms | 0 - 2 MB | NPU
 
 
 
114
  | Swin-Base | QNN_DLC | w8a16 | Qualcomm® SA8650P | 19.574 ms | 0 - 411 MB | NPU
115
  | Swin-Base | QNN_DLC | w8a16 | Qualcomm® SA8255P | 19.574 ms | 0 - 411 MB | NPU
116
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 19.512 ms | 0 - 3 MB | NPU
117
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 20.234 ms | 0 - 0 MB | NPU
118
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 120.381 ms | 0 - 640 MB | NPU
119
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 21.734 ms | 0 - 589 MB | NPU
120
- | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 9.23 ms | 0 - 387 MB | NPU
121
- | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 21.734 ms | 0 - 589 MB | NPU
122
- | Swin-Base | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.617 ms | 0 - 388 MB | NPU
123
- | Swin-Base | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.299 ms | 0 - 363 MB | NPU
124
- | Swin-Base | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.718 ms | 0 - 507 MB | NPU
125
- | Swin-Base | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 28.204 ms | 0 - 494 MB | NPU
126
- | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 20.179 ms | 0 - 179 MB | NPU
127
- | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.647 ms | 0 - 4 MB | NPU
128
- | Swin-Base | TFLITE | float | Qualcomm® SA8775P | 21.49 ms | 0 - 359 MB | NPU
129
- | Swin-Base | TFLITE | float | Qualcomm® SA8650P | 21.49 ms | 0 - 359 MB | NPU
130
- | Swin-Base | TFLITE | float | Qualcomm® SA8255P | 21.49 ms | 0 - 359 MB | NPU
131
- | Swin-Base | TFLITE | float | Qualcomm® QCS8450 | 28.204 ms | 0 - 494 MB | NPU
132
- | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 21.803 ms | 0 - 178 MB | NPU
133
- | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.299 ms | 0 - 363 MB | NPU
134
- | Swin-Base | TFLITE | float | Qualcomm® SA8295P | 27.902 ms | 0 - 350 MB | NPU
 
135
 
136
  ## License
137
  * The license for the original implementation of Swin-Base can be found
 
16
  SwinBase 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 Swin-Base found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.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/v0.64.0/src/qai_hub_models/models/swin_base) 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 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-onnx-float.zip)
33
+ | ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-onnx-w8a16.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-qnn_dlc-w8a16.zip)
36
+ | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[Swin-Base on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/swin_base)**.
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/v0.64.0/src/qai_hub_models/models/swin_base) 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 [Swin-Base on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/swin_base) 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
+ | Swin-Base | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.624 ms | 0 - 388 MB | NPU
67
+ | Swin-Base | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.433 ms | 1 - 371 MB | NPU
68
+ | Swin-Base | ONNX | float | Snapdragon® X2 Elite | 7.812 ms | 2 - 2 MB | NPU
69
+ | Swin-Base | ONNX | float | Snapdragon® X Elite | 19.095 ms | 175 - 175 MB | NPU
70
+ | Swin-Base | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.56 ms | 0 - 528 MB | NPU
71
+ | Swin-Base | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 28.179 ms | 1 - 520 MB | NPU
72
+ | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 20.457 ms | 0 - 5 MB | NPU
73
+ | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.522 ms | 0 - 194 MB | NPU
74
+ | Swin-Base | ONNX | float | Qualcomm® QCS8450 | 28.179 ms | 1 - 520 MB | NPU
75
+ | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 21.987 ms | 0 - 4 MB | NPU
76
+ | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 19.095 ms | 175 - 175 MB | NPU
77
+ | Swin-Base | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.433 ms | 1 - 371 MB | NPU
78
+ | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 6.143 ms | 0 - 414 MB | NPU
79
+ | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 7.966 ms | 0 - 399 MB | NPU
80
+ | Swin-Base | ONNX | w8a16 | Snapdragon® X2 Elite | 6.313 ms | 1 - 1 MB | NPU
81
+ | Swin-Base | ONNX | w8a16 | Snapdragon® X Elite | 16.391 ms | 93 - 93 MB | NPU
82
+ | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 10.723 ms | 0 - 538 MB | NPU
83
+ | Swin-Base | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 20.247 ms | 0 - 537 MB | NPU
84
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 39.041 ms | 0 - 4 MB | NPU
85
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 14.394 ms | 0 - 4 MB | NPU
86
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.89 ms | 0 - 518 MB | NPU
87
+ | Swin-Base | ONNX | w8a16 | Qualcomm® QCS8450 | 20.247 ms | 0 - 537 MB | NPU
88
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 16.163 ms | 0 - 4 MB | NPU
89
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 16.391 ms | 93 - 93 MB | NPU
90
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 108.62 ms | 0 - 667 MB | NPU
91
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 17.916 ms | 0 - 613 MB | NPU
92
+ | Swin-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.966 ms | 0 - 399 MB | NPU
93
+ | Swin-Base | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 17.916 ms | 0 - 613 MB | NPU
94
+ | Swin-Base | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.17 ms | 0 - 370 MB | NPU
95
+ | Swin-Base | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 8.965 ms | 1 - 353 MB | NPU
96
+ | Swin-Base | QNN_DLC | float | Snapdragon® X2 Elite | 7.868 ms | 1 - 1 MB | NPU
97
+ | Swin-Base | QNN_DLC | float | Snapdragon® X Elite | 18.641 ms | 1 - 1 MB | NPU
98
+ | Swin-Base | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.199 ms | 1 - 507 MB | NPU
99
+ | Swin-Base | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 27.857 ms | 0 - 492 MB | NPU
100
+ | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 19.82 ms | 1 - 4 MB | NPU
101
+ | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.928 ms | 1 - 322 MB | NPU
102
+ | Swin-Base | QNN_DLC | float | Qualcomm® SA8775P | 20.855 ms | 1 - 351 MB | NPU
103
+ | Swin-Base | QNN_DLC | float | Qualcomm® SA8650P | 20.855 ms | 1 - 351 MB | NPU
104
+ | Swin-Base | QNN_DLC | float | Qualcomm® SA8255P | 20.855 ms | 1 - 351 MB | NPU
105
+ | Swin-Base | QNN_DLC | float | Qualcomm® QCS8450 | 27.857 ms | 0 - 492 MB | NPU
106
+ | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 21.148 ms | 3 - 5 MB | NPU
107
+ | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 18.641 ms | 1 - 1 MB | NPU
108
+ | Swin-Base | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 8.965 ms | 1 - 353 MB | NPU
109
+ | Swin-Base | QNN_DLC | float | Qualcomm® SA8295P | 27.016 ms | 1 - 343 MB | NPU
110
+ | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.138 ms | 0 - 401 MB | NPU
111
+ | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 9.3 ms | 0 - 388 MB | NPU
112
+ | Swin-Base | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 7.645 ms | 0 - 0 MB | NPU
113
+ | Swin-Base | QNN_DLC | w8a16 | Snapdragon® X Elite | 20.238 ms | 0 - 0 MB | NPU
114
+ | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 12.963 ms | 0 - 512 MB | NPU
115
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 17.063 ms | 0 - 4 MB | NPU
116
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 19.506 ms | 0 - 2 MB | NPU
117
  | Swin-Base | QNN_DLC | w8a16 | Qualcomm® SA8650P | 19.574 ms | 0 - 411 MB | NPU
118
  | Swin-Base | QNN_DLC | w8a16 | Qualcomm® SA8255P | 19.574 ms | 0 - 411 MB | NPU
119
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 19.858 ms | 2 - 5 MB | NPU
120
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 20.238 ms | 0 - 0 MB | NPU
121
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 94.703 ms | 0 - 645 MB | NPU
122
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 21.623 ms | 0 - 589 MB | NPU
123
+ | Swin-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 9.3 ms | 0 - 388 MB | NPU
124
+ | Swin-Base | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 21.623 ms | 0 - 589 MB | NPU
125
+ | Swin-Base | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.727 ms | 0 - 379 MB | NPU
126
+ | Swin-Base | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.501 ms | 0 - 358 MB | NPU
127
+ | Swin-Base | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.818 ms | 0 - 504 MB | NPU
128
+ | Swin-Base | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 27.835 ms | 0 - 497 MB | NPU
129
+ | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 20.137 ms | 0 - 179 MB | NPU
130
+ | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.637 ms | 0 - 4 MB | NPU
131
+ | Swin-Base | TFLITE | float | Qualcomm® SA8775P | 21.613 ms | 0 - 359 MB | NPU
132
+ | Swin-Base | TFLITE | float | Qualcomm® SA8650P | 21.613 ms | 0 - 359 MB | NPU
133
+ | Swin-Base | TFLITE | float | Qualcomm® SA8255P | 21.613 ms | 0 - 359 MB | NPU
134
+ | Swin-Base | TFLITE | float | Qualcomm® QCS8450 | 27.835 ms | 0 - 497 MB | NPU
135
+ | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 21.746 ms | 0 - 178 MB | NPU
136
+ | Swin-Base | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.501 ms | 0 - 358 MB | NPU
137
+ | Swin-Base | TFLITE | float | Qualcomm® SA7255P | 52.046 ms | 0 - 367 MB | NPU
138
+ | Swin-Base | TFLITE | float | Qualcomm® SA8295P | 27.746 ms | 0 - 351 MB | NPU
139
 
140
  ## License
141
  * The license for the original implementation of Swin-Base can be found
release_assets.json CHANGED
@@ -1,26 +1,26 @@
1
  {
2
- "version": "0.63.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
6
  "onnx": {
7
  "tool_versions": {
8
  "qairt": "2.50.0.260828221209",
9
- "onnx_runtime": "1.27.1"
10
  },
11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.50.0.260828221209"
16
  },
17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.50.0.260828221209"
22
  },
23
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-tflite-float.zip"
24
  }
25
  }
26
  },
@@ -29,15 +29,15 @@
29
  "onnx": {
30
  "tool_versions": {
31
  "qairt": "2.50.0.260828221209",
32
- "onnx_runtime": "1.27.1"
33
  },
34
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
37
  "tool_versions": {
38
  "qairt": "2.50.0.260828221209"
39
  },
40
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.63.0/swin_base-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }
 
1
  {
2
+ "version": "0.64.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
6
  "onnx": {
7
  "tool_versions": {
8
  "qairt": "2.50.0.260828221209",
9
+ "onnx_runtime": "1.30.0"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.50.0.260828221209"
16
  },
17
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.50.0.260828221209"
22
  },
23
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-tflite-float.zip"
24
  }
25
  }
26
  },
 
29
  "onnx": {
30
  "tool_versions": {
31
  "qairt": "2.50.0.260828221209",
32
+ "onnx_runtime": "1.30.0"
33
  },
34
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
37
  "tool_versions": {
38
  "qairt": "2.50.0.260828221209"
39
  },
40
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_base/releases/v0.64.0/swin_base-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }