v0.48.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.
README.md
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@@ -15,7 +15,7 @@ pipeline_tag: video-classification
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ResNet (2+1)D Convolutions is a network which explicitly factorizes 3D convolution into two separate and successive operations, a 2D spatial convolution and a 1D temporal convolution. It used for video understanding applications.
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This is based on the implementation of ResNet-2Plus1D found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py).
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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/
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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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.
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| 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/resnet_2plus1d/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.
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| 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/resnet_2plus1d/releases/v0.
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| 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/resnet_2plus1d/releases/v0.
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For more device-specific assets and performance metrics, visit **[ResNet-2Plus1D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet_2plus1d)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/
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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 [ResNet-2Plus1D on GitHub](https://github.com/
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## Model Details
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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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| ResNet-2Plus1D | ONNX | float | Snapdragon®
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| ResNet-2Plus1D | ONNX | float | Snapdragon®
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| ResNet-2Plus1D | ONNX | float |
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| ResNet-2Plus1D | ONNX | float | Qualcomm®
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| ResNet-2Plus1D | ONNX | float |
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| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Elite
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| ResNet-2Plus1D | ONNX | float | Snapdragon®
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon®
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon®
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| ResNet-2Plus1D | ONNX | w8a8 |
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm®
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm®
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm®
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| ResNet-2Plus1D | ONNX | w8a8 |
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon®
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon®
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon®
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon®
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon®
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| ResNet-2Plus1D | QNN_DLC | float |
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | float |
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Elite
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon®
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon®
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon®
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| ResNet-2Plus1D | QNN_DLC | w8a8 |
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm®
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 4.799 ms | 1 - 3 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCM6690 |
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 7.
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA7255P | 13.
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8295P | 7.
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 2.
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 7.
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.
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| ResNet-2Plus1D |
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| ResNet-2Plus1D | TFLITE | float |
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| ResNet-2Plus1D | TFLITE | float | Qualcomm®
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| ResNet-2Plus1D | TFLITE | float | Qualcomm®
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| ResNet-2Plus1D | TFLITE | float | Qualcomm®
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| ResNet-2Plus1D | TFLITE | float | Qualcomm®
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| ResNet-2Plus1D | TFLITE | float | Qualcomm®
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| ResNet-2Plus1D | TFLITE | float | Qualcomm®
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| ResNet-2Plus1D | TFLITE | float |
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| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Elite
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| ResNet-2Plus1D | TFLITE |
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| ResNet-2Plus1D | TFLITE | w8a8 |
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm®
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm®
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm®
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm®
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm®
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm®
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| ResNet-2Plus1D | TFLITE | w8a8 |
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| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Elite
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| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1253.39 ms | 332 - 424 MB | NPU
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| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 607.046 ms | 0 - 472 MB | NPU
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## License
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* The license for the original implementation of ResNet-2Plus1D can be found
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ResNet (2+1)D Convolutions is a network which explicitly factorizes 3D convolution into two separate and successive operations, a 2D spatial convolution and a 1D temporal convolution. It used for video understanding applications.
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This is based on the implementation of ResNet-2Plus1D found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py).
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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/main/qai_hub_models/models/resnet_2plus1d) 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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.48.0/resnet_2plus1d-onnx-float.zip)
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| 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/resnet_2plus1d/releases/v0.48.0/resnet_2plus1d-onnx-w8a8.zip)
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.48.0/resnet_2plus1d-qnn_dlc-float.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.48.0/resnet_2plus1d-qnn_dlc-w8a8.zip)
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| 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/resnet_2plus1d/releases/v0.48.0/resnet_2plus1d-tflite-float.zip)
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| 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/resnet_2plus1d/releases/v0.48.0/resnet_2plus1d-tflite-w8a8.zip)
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For more device-specific assets and performance metrics, visit **[ResNet-2Plus1D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet_2plus1d)**.
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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/main/qai_hub_models/models/resnet_2plus1d) Python library to compile and export the model with your own:
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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 [ResNet-2Plus1D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/resnet_2plus1d) for usage instructions.
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## Model Details
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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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| ResNet-2Plus1D | ONNX | float | Snapdragon® X2 Elite | 6.124 ms | 60 - 60 MB | NPU
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| ResNet-2Plus1D | ONNX | float | Snapdragon® X Elite | 12.21 ms | 60 - 60 MB | NPU
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| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.089 ms | 2 - 299 MB | NPU
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| ResNet-2Plus1D | ONNX | float | Qualcomm® QCS8550 (Proxy) | 11.895 ms | 2 - 6 MB | NPU
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| ResNet-2Plus1D | ONNX | float | Qualcomm® QCS9075 | 21.365 ms | 2 - 7 MB | NPU
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| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.209 ms | 1 - 209 MB | NPU
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| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.517 ms | 2 - 215 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® X2 Elite | 2.043 ms | 31 - 31 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® X Elite | 4.534 ms | 31 - 31 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3.272 ms | 0 - 226 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® QCS6490 | 316.388 ms | 97 - 127 MB | CPU
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 4.281 ms | 0 - 4 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® QCS9075 | 4.11 ms | 1 - 3 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® QCM6690 | 302.389 ms | 100 - 107 MB | CPU
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 2.585 ms | 0 - 189 MB | NPU
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 272.625 ms | 76 - 83 MB | CPU
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| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.927 ms | 0 - 191 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® X2 Elite | 6.638 ms | 2 - 2 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® X Elite | 13.02 ms | 2 - 2 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.235 ms | 2 - 306 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 81.816 ms | 1 - 216 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 12.731 ms | 2 - 4 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA8775P | 97.866 ms | 1 - 216 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® QCS9075 | 23.009 ms | 2 - 6 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 28.935 ms | 0 - 277 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA7255P | 81.816 ms | 1 - 216 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA8295P | 22.709 ms | 2 - 200 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.193 ms | 2 - 220 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.713 ms | 2 - 228 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 2.353 ms | 1 - 1 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® X Elite | 4.908 ms | 1 - 1 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3.351 ms | 1 - 221 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 19.708 ms | 1 - 3 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 13.289 ms | 1 - 181 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 4.569 ms | 1 - 35 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8775P | 4.719 ms | 1 - 184 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 4.799 ms | 1 - 3 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 80.776 ms | 1 - 197 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 7.449 ms | 1 - 220 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA7255P | 13.289 ms | 1 - 181 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8295P | 7.754 ms | 1 - 182 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 2.551 ms | 0 - 180 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 7.892 ms | 1 - 189 MB | NPU
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| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.875 ms | 1 - 183 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 291.042 ms | 0 - 322 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 721.71 ms | 0 - 234 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 405.106 ms | 0 - 2 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA8775P | 381.207 ms | 0 - 233 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® QCS9075 | 386.763 ms | 0 - 66 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 444.981 ms | 1 - 316 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA7255P | 721.71 ms | 0 - 234 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA8295P | 472.01 ms | 0 - 228 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 255.496 ms | 0 - 238 MB | NPU
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| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 263.545 ms | 0 - 244 MB | NPU
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| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 583.224 ms | 0 - 538 MB | NPU
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1514.71 ms | 0 - 443 MB | NPU
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 801.769 ms | 0 - 2 MB | NPU
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| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA8775P | 792.575 ms | 0 - 442 MB | NPU
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+
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® QCM6690 | 1613.517 ms | 311 - 479 MB | NPU
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| 125 |
+
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 861.146 ms | 0 - 432 MB | NPU
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| 126 |
+
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA7255P | 1514.71 ms | 0 - 443 MB | NPU
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| 127 |
+
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA8295P | 874.473 ms | 0 - 433 MB | NPU
|
| 128 |
+
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 493.662 ms | 0 - 522 MB | NPU
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| 129 |
+
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 609.566 ms | 0 - 471 MB | NPU
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## License
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* The license for the original implementation of ResNet-2Plus1D can be found
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