v0.61.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.
- README.md +87 -87
- release_assets.json +6 -6
README.md
CHANGED
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@@ -1,6 +1,6 @@
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---
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library_name: pytorch
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-
license:
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tags:
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- android
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pipeline_tag: image-segmentation
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@@ -14,7 +14,7 @@ pipeline_tag: image-segmentation
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SINet is a machine learning model that is designed to segment people from close-up portrait images in real time.
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This is based on the implementation of SINet found [here](https://github.com/clovaai/ext_portrait_segmentation).
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-
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.
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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.
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@@ -27,25 +27,25 @@ Below are pre-exported model assets ready for deployment.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| 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/sinet/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.
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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/sinet/releases/v0.
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For more device-specific assets and performance metrics, visit **[SINet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sinet)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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-
See our repository for [SINet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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@@ -62,87 +62,87 @@ See our repository for [SINet on GitHub](https://github.com/qualcomm/ai-hub-mode
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| SINet | ONNX | float | Snapdragon® X2 Elite | 0.
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| SINet | ONNX | float | Snapdragon® X Elite | 1.
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| SINet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.
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| SINet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.
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| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.
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| SINet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
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| SINet | ONNX | float | Qualcomm® QCS8450 | 2.
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| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.
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| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.
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| SINet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.
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| SINet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.
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| SINet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| SINet | QNN_DLC | float | Snapdragon® X2 Elite | 1.
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| SINet | QNN_DLC | float | Snapdragon® X Elite | 3.
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| SINet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.
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| SINet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.
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| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 3.062 ms | 1 - 4 MB | NPU
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| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 6.
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| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.
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| SINet | QNN_DLC | float | Qualcomm® SA8775P | 3.
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| SINet | QNN_DLC | float | Qualcomm® SA8650P | 3.
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| SINet | QNN_DLC | float | Qualcomm® SA8255P | 3.
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| SINet | QNN_DLC | float | Qualcomm® QCS8450 | 3.
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| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 |
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| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.
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| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.
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| SINet | QNN_DLC | float | Qualcomm® SA7255P | 6.
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| SINet | QNN_DLC | float | Qualcomm® SA8295P | 4.
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| SINet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.
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| SINet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.
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| SINet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.
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| SINet | QNN_DLC | w8a16 | Snapdragon® X Elite | 7.
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| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 4.
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| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 7.
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| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 5.448 ms | 0 - 3 MB | NPU
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| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 10.
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| 101 |
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| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.
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| SINet | QNN_DLC | w8a16 | Qualcomm® SA8775P | 7.
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| SINet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 7.
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| SINet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 7.
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| SINet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 7.
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| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 |
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| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 7.
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| 108 |
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| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.
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| SINet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 10.
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| SINet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 8.141 ms | 0 - 37 MB | NPU
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| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 3.
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| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.
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| SINet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 2.
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| SINet | QNN_DLC | w8a8 | Snapdragon® X Elite | 4.
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| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 2.
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| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 4.
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| 117 |
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| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 4.
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| 118 |
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| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 7.
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| 119 |
-
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.
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| 120 |
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| SINet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 4.
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| 121 |
-
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 4.
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| 122 |
-
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 4.
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| 123 |
-
| SINet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 4.
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| 124 |
-
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 4.
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| 125 |
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| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 4.
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| 126 |
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| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 2.
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| 127 |
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| SINet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 7.
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| 128 |
-
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 5.
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| 129 |
-
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 2.
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| 130 |
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| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 2.
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| 131 |
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| SINet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.
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| 132 |
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| SINet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.
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| 133 |
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| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 3.
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| 134 |
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| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 6.
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| 135 |
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| SINet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.
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| 136 |
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| SINet | TFLITE | float | Qualcomm® SA8775P | 3.
|
| 137 |
-
| SINet | TFLITE | float | Qualcomm® SA8650P | 3.
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| 138 |
-
| SINet | TFLITE | float | Qualcomm® SA8255P | 3.
|
| 139 |
-
| SINet | TFLITE | float | Qualcomm® QCS8450 | 3.
|
| 140 |
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| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 3.
|
| 141 |
-
| SINet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.
|
| 142 |
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| SINet | TFLITE | float | Qualcomm® SA7255P | 6.
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| 143 |
-
| SINet | TFLITE | float | Qualcomm® SA8295P | 4.
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| 144 |
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| SINet | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.
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| SINet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.
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## License
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* The license for the original implementation of SINet can be found
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---
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library_name: pytorch
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+
license: mit
|
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tags:
|
| 5 |
- android
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| 6 |
pipeline_tag: image-segmentation
|
|
|
|
| 14 |
SINet is a machine learning model that is designed to segment people from close-up portrait images in real time.
|
| 15 |
|
| 16 |
This is based on the implementation of SINet found [here](https://github.com/clovaai/ext_portrait_segmentation).
|
| 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/v0.61.0/src/qai_hub_models/models/sinet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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+
| 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/sinet/releases/v0.61.0/sinet-onnx-float.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.61.0/sinet-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.61.0/sinet-qnn_dlc-w8a16.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.61.0/sinet-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/sinet/releases/v0.61.0/sinet-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[SINet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sinet)**.
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### Option 2: Export with Custom Configurations
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| 40 |
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+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/sinet) 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 [SINet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/sinet) for usage instructions.
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## Model Details
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## Performance Summary
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| 63 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 64 |
|---|---|---|---|---|---|---
|
| 65 |
+
| SINet | ONNX | float | Snapdragon® X2 Elite | 0.762 ms | 2 - 2 MB | NPU
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| 66 |
+
| SINet | ONNX | float | Snapdragon® X Elite | 1.733 ms | 2 - 2 MB | NPU
|
| 67 |
+
| SINet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.12 ms | 0 - 47 MB | NPU
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| 68 |
+
| SINet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.032 ms | 1 - 57 MB | NPU
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| 69 |
+
| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.84 ms | 1 - 5 MB | NPU
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| 70 |
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| SINet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.687 ms | 0 - 4 MB | NPU
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| 71 |
+
| SINet | ONNX | float | Qualcomm® QCS8450 | 2.032 ms | 1 - 57 MB | NPU
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| 72 |
+
| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.909 ms | 1 - 5 MB | NPU
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| 73 |
+
| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.733 ms | 2 - 2 MB | NPU
|
| 74 |
+
| SINet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.841 ms | 0 - 34 MB | NPU
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| 75 |
+
| SINet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.841 ms | 0 - 34 MB | NPU
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| 76 |
+
| SINet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.707 ms | 0 - 37 MB | NPU
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| 77 |
+
| SINet | QNN_DLC | float | Snapdragon® X2 Elite | 1.416 ms | 1 - 1 MB | NPU
|
| 78 |
+
| SINet | QNN_DLC | float | Snapdragon® X Elite | 3.845 ms | 1 - 1 MB | NPU
|
| 79 |
+
| SINet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.107 ms | 0 - 46 MB | NPU
|
| 80 |
+
| SINet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.74 ms | 0 - 55 MB | NPU
|
| 81 |
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 3.062 ms | 1 - 4 MB | NPU
|
| 82 |
+
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 6.627 ms | 1 - 34 MB | NPU
|
| 83 |
+
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.431 ms | 1 - 3 MB | NPU
|
| 84 |
+
| SINet | QNN_DLC | float | Qualcomm® SA8775P | 3.922 ms | 1 - 36 MB | NPU
|
| 85 |
+
| SINet | QNN_DLC | float | Qualcomm® SA8650P | 3.922 ms | 1 - 36 MB | NPU
|
| 86 |
+
| SINet | QNN_DLC | float | Qualcomm® SA8255P | 3.922 ms | 1 - 36 MB | NPU
|
| 87 |
+
| SINet | QNN_DLC | float | Qualcomm® QCS8450 | 3.74 ms | 0 - 55 MB | NPU
|
| 88 |
+
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 3.694 ms | 1 - 4 MB | NPU
|
| 89 |
+
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.845 ms | 1 - 1 MB | NPU
|
| 90 |
+
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.801 ms | 1 - 33 MB | NPU
|
| 91 |
+
| SINet | QNN_DLC | float | Qualcomm® SA7255P | 6.627 ms | 1 - 34 MB | NPU
|
| 92 |
+
| SINet | QNN_DLC | float | Qualcomm® SA8295P | 4.64 ms | 1 - 36 MB | NPU
|
| 93 |
+
| SINet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.801 ms | 1 - 33 MB | NPU
|
| 94 |
+
| SINet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.129 ms | 1 - 36 MB | NPU
|
| 95 |
+
| SINet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.504 ms | 0 - 0 MB | NPU
|
| 96 |
+
| SINet | QNN_DLC | w8a16 | Snapdragon® X Elite | 7.156 ms | 0 - 0 MB | NPU
|
| 97 |
+
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 4.079 ms | 0 - 49 MB | NPU
|
| 98 |
+
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 7.115 ms | 0 - 55 MB | NPU
|
| 99 |
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 5.448 ms | 0 - 3 MB | NPU
|
| 100 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 10.829 ms | 0 - 38 MB | NPU
|
| 101 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.582 ms | 0 - 2 MB | NPU
|
| 102 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8775P | 7.045 ms | 0 - 41 MB | NPU
|
| 103 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 7.045 ms | 0 - 41 MB | NPU
|
| 104 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 7.045 ms | 0 - 41 MB | NPU
|
| 105 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 7.115 ms | 0 - 55 MB | NPU
|
| 106 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 6.832 ms | 2 - 5 MB | NPU
|
| 107 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 7.156 ms | 0 - 0 MB | NPU
|
| 108 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.438 ms | 0 - 37 MB | NPU
|
| 109 |
+
| SINet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 10.829 ms | 0 - 38 MB | NPU
|
| 110 |
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 8.141 ms | 0 - 37 MB | NPU
|
| 111 |
+
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 3.438 ms | 0 - 37 MB | NPU
|
| 112 |
+
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.209 ms | 0 - 39 MB | NPU
|
| 113 |
+
| SINet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 2.346 ms | 0 - 0 MB | NPU
|
| 114 |
+
| SINet | QNN_DLC | w8a8 | Snapdragon® X Elite | 4.732 ms | 0 - 0 MB | NPU
|
| 115 |
+
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 2.906 ms | 0 - 47 MB | NPU
|
| 116 |
+
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 4.631 ms | 0 - 52 MB | NPU
|
| 117 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 4.036 ms | 0 - 3 MB | NPU
|
| 118 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 7.736 ms | 0 - 38 MB | NPU
|
| 119 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.48 ms | 0 - 2 MB | NPU
|
| 120 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 4.706 ms | 0 - 39 MB | NPU
|
| 121 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 4.706 ms | 0 - 39 MB | NPU
|
| 122 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 4.706 ms | 0 - 39 MB | NPU
|
| 123 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 4.631 ms | 0 - 52 MB | NPU
|
| 124 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 4.825 ms | 0 - 2 MB | NPU
|
| 125 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 4.732 ms | 0 - 0 MB | NPU
|
| 126 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 2.352 ms | 0 - 36 MB | NPU
|
| 127 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 7.736 ms | 0 - 38 MB | NPU
|
| 128 |
+
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 5.187 ms | 0 - 35 MB | NPU
|
| 129 |
+
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 2.352 ms | 0 - 36 MB | NPU
|
| 130 |
+
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 2.14 ms | 0 - 38 MB | NPU
|
| 131 |
+
| SINet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.106 ms | 0 - 45 MB | NPU
|
| 132 |
+
| SINet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.781 ms | 0 - 54 MB | NPU
|
| 133 |
+
| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 3.077 ms | 0 - 5 MB | NPU
|
| 134 |
+
| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 6.656 ms | 1 - 35 MB | NPU
|
| 135 |
+
| SINet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.405 ms | 0 - 2 MB | NPU
|
| 136 |
+
| SINet | TFLITE | float | Qualcomm® SA8775P | 3.916 ms | 0 - 38 MB | NPU
|
| 137 |
+
| SINet | TFLITE | float | Qualcomm® SA8650P | 3.916 ms | 0 - 38 MB | NPU
|
| 138 |
+
| SINet | TFLITE | float | Qualcomm® SA8255P | 3.916 ms | 0 - 38 MB | NPU
|
| 139 |
+
| SINet | TFLITE | float | Qualcomm® QCS8450 | 3.781 ms | 0 - 54 MB | NPU
|
| 140 |
+
| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 3.703 ms | 1 - 4 MB | NPU
|
| 141 |
+
| SINet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.806 ms | 0 - 30 MB | NPU
|
| 142 |
+
| SINet | TFLITE | float | Qualcomm® SA7255P | 6.656 ms | 1 - 35 MB | NPU
|
| 143 |
+
| SINet | TFLITE | float | Qualcomm® SA8295P | 4.661 ms | 1 - 35 MB | NPU
|
| 144 |
+
| SINet | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.806 ms | 0 - 30 MB | NPU
|
| 145 |
+
| SINet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.137 ms | 0 - 35 MB | NPU
|
| 146 |
|
| 147 |
## License
|
| 148 |
* The license for the original implementation of SINet can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
@@ -8,19 +8,19 @@
|
|
| 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/sinet/releases/v0.
|
| 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/sinet/releases/v0.
|
| 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/sinet/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
@@ -30,7 +30,7 @@
|
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.45.0.260326154327"
|
| 32 |
},
|
| 33 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.
|
| 34 |
}
|
| 35 |
}
|
| 36 |
},
|
|
@@ -40,7 +40,7 @@
|
|
| 40 |
"tool_versions": {
|
| 41 |
"qairt": "2.45.0.260326154327"
|
| 42 |
},
|
| 43 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.
|
| 44 |
}
|
| 45 |
}
|
| 46 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.61.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 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/sinet/releases/v0.61.0/sinet-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/sinet/releases/v0.61.0/sinet-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/sinet/releases/v0.61.0/sinet-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.45.0.260326154327"
|
| 32 |
},
|
| 33 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.61.0/sinet-qnn_dlc-w8a16.zip"
|
| 34 |
}
|
| 35 |
}
|
| 36 |
},
|
|
|
|
| 40 |
"tool_versions": {
|
| 41 |
"qairt": "2.45.0.260326154327"
|
| 42 |
},
|
| 43 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/releases/v0.61.0/sinet-qnn_dlc-w8a8.zip"
|
| 44 |
}
|
| 45 |
}
|
| 46 |
}
|