Hugging Face's logo

qualcomm
/
QuickSRNetSmall

Image-to-Image
PyTorch
android
Model card Files
xet
 Community
qaihm-bot commited on
Commit
9c155b2
·
verified ·
1 Parent(s): e46f486

v0.49.1

Browse files

See https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.

Files changed (2) hide show
  1. LICENSE +1 -1
  2. README.md +72 -61
LICENSE CHANGED
@@ -1 +1 @@
1
- The license of the original trained model can be found at https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf.
 
1
+ The license of the original trained model can be found at https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.md.
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-to-image
14
  QuickSRNet Small is designed for upscaling images on mobile platforms to sharpen in real-time.
15
 
16
  This is based on the implementation of QuickSRNetSmall found [here](https://github.com/quic/aimet-model-zoo/tree/develop/aimet_zoo_torch/quicksrnet).
17
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/quicksrnetsmall) 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
 
@@ -27,25 +27,26 @@ Below are pre-exported model assets ready for deployment.
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | ONNX | float | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetsmall/releases/v0.46.0/quicksrnetsmall-onnx-float.zip)
31
- | QNN_DLC | float | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetsmall/releases/v0.46.0/quicksrnetsmall-qnn_dlc-float.zip)
32
- | QNN_DLC | w8a8 | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetsmall/releases/v0.46.0/quicksrnetsmall-qnn_dlc-w8a8.zip)
33
- | TFLITE | float | Universal | QAIRT 2.42, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetsmall/releases/v0.46.0/quicksrnetsmall-tflite-float.zip)
34
- | TFLITE | w8a8 | Universal | QAIRT 2.42, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetsmall/releases/v0.46.0/quicksrnetsmall-tflite-w8a8.zip)
 
35
 
36
  For more device-specific assets and performance metrics, visit **[QuickSRNetSmall on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/quicksrnetsmall)**.
37
 
38
 
39
  ### Option 2: Export with Custom Configurations
40
 
41
- Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/quicksrnetsmall) Python library to compile and export the model with your own:
42
  - Custom weights (e.g., fine-tuned checkpoints)
43
  - Custom input shapes
44
  - Target device and runtime configurations
45
 
46
  This option is ideal if you need to customize the model beyond the default configuration provided here.
47
 
48
- See our repository for [QuickSRNetSmall on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/quicksrnetsmall) for usage instructions.
49
 
50
  ## Model Details
51
 
@@ -61,64 +62,74 @@ See our repository for [QuickSRNetSmall on GitHub](https://github.com/quic/ai-hu
61
  ## Performance Summary
62
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
63
  |---|---|---|---|---|---|---
64
- | QuickSRNetSmall | ONNX | float | Snapdragon® X Elite | 1.049 ms | 8 - 8 MB | NPU
65
- | QuickSRNetSmall | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.809 ms | 0 - 97 MB | NPU
66
- | QuickSRNetSmall | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.138 ms | 0 - 44 MB | NPU
67
- | QuickSRNetSmall | ONNX | float | Qualcomm® QCS9075 | 1.436 ms | 6 - 9 MB | NPU
68
- | QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.594 ms | 0 - 91 MB | NPU
69
- | QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.512 ms | 0 - 89 MB | NPU
70
- | QuickSRNetSmall | QNN_DLC | float | Snapdragon® X Elite | 0.842 ms | 0 - 0 MB | NPU
71
- | QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.452 ms | 0 - 28 MB | NPU
72
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1.85 ms | 0 - 21 MB | NPU
73
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.742 ms | 0 - 1 MB | NPU
74
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8775P | 1.082 ms | 0 - 22 MB | NPU
75
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS9075 | 1.102 ms | 0 - 5 MB | NPU
76
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.04 ms | 0 - 29 MB | NPU
77
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA7255P | 1.85 ms | 0 - 21 MB | NPU
78
- | QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8295P | 1.383 ms | 0 - 17 MB | NPU
79
- | QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.359 ms | 0 - 24 MB | NPU
80
- | QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.326 ms | 0 - 24 MB | NPU
81
- | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.426 ms | 0 - 0 MB | NPU
82
- | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.214 ms | 0 - 24 MB | NPU
83
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.279 ms | 0 - 2 MB | NPU
84
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.774 ms | 0 - 19 MB | NPU
85
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.319 ms | 0 - 1 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
86
  | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.516 ms | 0 - 19 MB | NPU
87
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.497 ms | 0 - 2 MB | NPU
88
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1.208 ms | 0 - 16 MB | NPU
89
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.463 ms | 0 - 25 MB | NPU
90
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.774 ms | 0 - 19 MB | NPU
91
- | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.703 ms | 0 - 15 MB | NPU
92
- | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.174 ms | 0 - 21 MB | NPU
93
- | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.351 ms | 0 - 16 MB | NPU
94
- | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.145 ms | 0 - 20 MB | NPU
95
- | QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.628 ms | 0 - 28 MB | NPU
96
- | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.389 ms | 0 - 21 MB | NPU
97
- | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.003 ms | 0 - 1 MB | NPU
98
- | QuickSRNetSmall | TFLITE | float | Qualcomm® SA8775P | 1.419 ms | 0 - 21 MB | NPU
99
- | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS9075 | 1.27 ms | 3 - 8 MB | NPU
100
- | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.318 ms | 1 - 30 MB | NPU
101
- | QuickSRNetSmall | TFLITE | float | Qualcomm® SA7255P | 2.389 ms | 0 - 21 MB | NPU
102
- | QuickSRNetSmall | TFLITE | float | Qualcomm® SA8295P | 1.652 ms | 0 - 17 MB | NPU
103
- | QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.46 ms | 0 - 20 MB | NPU
104
- | QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.397 ms | 0 - 23 MB | NPU
105
- | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.27 ms | 0 - 25 MB | NPU
106
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.042 ms | 0 - 2 MB | NPU
107
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.89 ms | 0 - 19 MB | NPU
108
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.398 ms | 0 - 1 MB | NPU
109
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8775P | 0.594 ms | 0 - 20 MB | NPU
110
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.521 ms | 0 - 3 MB | NPU
111
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCM6690 | 1.5 ms | 0 - 16 MB | NPU
112
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.466 ms | 0 - 26 MB | NPU
113
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA7255P | 0.89 ms | 0 - 19 MB | NPU
114
- | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8295P | 0.806 ms | 0 - 15 MB | NPU
115
- | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.197 ms | 0 - 21 MB | NPU
116
- | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.415 ms | 0 - 17 MB | NPU
117
  | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.162 ms | 0 - 20 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
118
 
119
  ## License
120
  * The license for the original implementation of QuickSRNetSmall can be found
121
- [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
122
 
123
  ## References
124
  * [QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms](https://arxiv.org/abs/2303.04336)
 
14
  QuickSRNet Small is designed for upscaling images on mobile platforms to sharpen in real-time.
15
 
16
  This is based on the implementation of QuickSRNetSmall found [here](https://github.com/quic/aimet-model-zoo/tree/develop/aimet_zoo_torch/quicksrnet).
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/quicksrnetsmall) 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/quicksrnetsmall/releases/v0.49.1/quicksrnetsmall-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/quicksrnetsmall/releases/v0.49.1/quicksrnetsmall-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/quicksrnetsmall/releases/v0.49.1/quicksrnetsmall-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/quicksrnetsmall/releases/v0.49.1/quicksrnetsmall-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/quicksrnetsmall/releases/v0.49.1/quicksrnetsmall-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/quicksrnetsmall/releases/v0.49.1/quicksrnetsmall-tflite-w8a8.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[QuickSRNetSmall on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/quicksrnetsmall)**.
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/quicksrnetsmall) 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 [QuickSRNetSmall on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/quicksrnetsmall) for usage instructions.
50
 
51
  ## Model Details
52
 
 
62
  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
+ | QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.406 ms | 0 - 20 MB | NPU
66
+ | QuickSRNetSmall | ONNX | float | Snapdragon® X2 Elite | 0.43 ms | 6 - 6 MB | NPU
67
+ | QuickSRNetSmall | ONNX | float | Snapdragon® X Elite | 1.045 ms | 9 - 9 MB | NPU
68
+ | QuickSRNetSmall | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.603 ms | 0 - 26 MB | NPU
69
+ | QuickSRNetSmall | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.916 ms | 0 - 2 MB | NPU
70
+ | QuickSRNetSmall | ONNX | float | Qualcomm® QCS9075 | 1.171 ms | 8 - 11 MB | NPU
71
+ | QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.486 ms | 0 - 17 MB | NPU
72
+ | QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.215 ms | 0 - 21 MB | NPU
73
+ | QuickSRNetSmall | ONNX | w8a8 | Snapdragon® X2 Elite | 0.23 ms | 3 - 3 MB | NPU
74
+ | QuickSRNetSmall | ONNX | w8a8 | Snapdragon® X Elite | 0.61 ms | 3 - 3 MB | NPU
75
+ | QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.341 ms | 0 - 27 MB | NPU
76
+ | QuickSRNetSmall | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.505 ms | 0 - 5 MB | NPU
77
+ | QuickSRNetSmall | ONNX | w8a8 | Qualcomm® QCS9075 | 0.675 ms | 0 - 3 MB | NPU
78
+ | QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.248 ms | 0 - 19 MB | NPU
79
+ | QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.315 ms | 0 - 23 MB | NPU
80
+ | QuickSRNetSmall | QNN_DLC | float | Snapdragon® X2 Elite | 0.441 ms | 0 - 0 MB | NPU
81
+ | QuickSRNetSmall | QNN_DLC | float | Snapdragon® X Elite | 0.849 ms | 0 - 0 MB | NPU
82
+ | QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.448 ms | 0 - 28 MB | NPU
83
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1.857 ms | 0 - 20 MB | NPU
84
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.727 ms | 0 - 4 MB | NPU
85
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8775P | 1.091 ms | 0 - 21 MB | NPU
86
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS9075 | 1.101 ms | 2 - 7 MB | NPU
87
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.029 ms | 0 - 29 MB | NPU
88
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA7255P | 1.857 ms | 0 - 20 MB | NPU
89
+ | QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8295P | 1.401 ms | 0 - 17 MB | NPU
90
+ | QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.367 ms | 0 - 23 MB | NPU
91
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.149 ms | 0 - 20 MB | NPU
92
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.243 ms | 0 - 0 MB | NPU
93
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.428 ms | 0 - 0 MB | NPU
94
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.219 ms | 0 - 24 MB | NPU
95
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.265 ms | 2 - 4 MB | NPU
96
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.793 ms | 0 - 18 MB | NPU
97
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.322 ms | 0 - 2 MB | NPU
98
  | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.516 ms | 0 - 19 MB | NPU
99
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.5 ms | 0 - 2 MB | NPU
100
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1.21 ms | 0 - 16 MB | NPU
101
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.457 ms | 0 - 26 MB | NPU
102
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.793 ms | 0 - 18 MB | NPU
103
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.713 ms | 0 - 15 MB | NPU
104
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.178 ms | 0 - 21 MB | NPU
105
+ | QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.345 ms | 0 - 17 MB | NPU
106
+ | QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.385 ms | 0 - 23 MB | NPU
107
+ | QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.645 ms | 0 - 28 MB | NPU
108
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.384 ms | 0 - 20 MB | NPU
109
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.012 ms | 0 - 1 MB | NPU
110
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® SA8775P | 1.393 ms | 0 - 21 MB | NPU
111
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS9075 | 1.268 ms | 3 - 8 MB | NPU
112
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.305 ms | 3 - 31 MB | NPU
113
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® SA7255P | 2.384 ms | 0 - 20 MB | NPU
114
+ | QuickSRNetSmall | TFLITE | float | Qualcomm® SA8295P | 1.654 ms | 0 - 17 MB | NPU
115
+ | QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.444 ms | 0 - 20 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
 
116
  | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.162 ms | 0 - 20 MB | NPU
117
+ | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.265 ms | 0 - 24 MB | NPU
118
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.038 ms | 0 - 2 MB | NPU
119
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.887 ms | 0 - 18 MB | NPU
120
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.379 ms | 0 - 2 MB | NPU
121
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8775P | 0.589 ms | 0 - 19 MB | NPU
122
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.538 ms | 0 - 3 MB | NPU
123
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCM6690 | 1.505 ms | 0 - 16 MB | NPU
124
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.464 ms | 0 - 25 MB | NPU
125
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA7255P | 0.887 ms | 0 - 18 MB | NPU
126
+ | QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8295P | 0.786 ms | 0 - 15 MB | NPU
127
+ | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.212 ms | 0 - 21 MB | NPU
128
+ | QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.406 ms | 0 - 17 MB | NPU
129
 
130
  ## License
131
  * The license for the original implementation of QuickSRNetSmall can be found
132
+ [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.md).
133
 
134
  ## References
135
  * [QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms](https://arxiv.org/abs/2303.04336)