---
library_name: pytorch
license: other
tags:
- backbone
- android
pipeline_tag: video-classification

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/web-assets/model_demo.png)

# ResNet-3D: Optimized for Qualcomm Devices

ResNet 3D is a network with 3D convolutions used for video understanding.

This is based on the implementation of ResNet-3D found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py).
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/src/qai_hub_models/models/resnet_3d) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

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.

## Getting Started
There are two ways to deploy this model on your device:

### Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/releases/v0.51.0/resnet_3d-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/releases/v0.51.0/resnet_3d-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/releases/v0.51.0/resnet_3d-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/releases/v0.51.0/resnet_3d-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/releases/v0.51.0/resnet_3d-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_3d/releases/v0.51.0/resnet_3d-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[ResNet-3D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet_3d)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/resnet_3d) Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for [ResNet-3D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/resnet_3d) for usage instructions.

## Model Details

**Model Type:** Model_use_case.video_classification

**Model Stats:**
- Model checkpoint: Kinetics-400
- Input resolution: 112x112
- Number of parameters: 33.4M
- Model size (float): 127 MB
- Model size (w8a8): 32.1 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| ResNet-3D | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.043 ms | 2 - 201 MB | NPU
| ResNet-3D | ONNX | float | Snapdragon® X2 Elite | 7.026 ms | 63 - 63 MB | NPU
| ResNet-3D | ONNX | float | Snapdragon® X Elite | 13.522 ms | 63 - 63 MB | NPU
| ResNet-3D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.662 ms | 1 - 254 MB | NPU
| ResNet-3D | ONNX | float | Qualcomm® QCS8550 (Proxy) | 13.243 ms | 0 - 80 MB | NPU
| ResNet-3D | ONNX | float | Qualcomm® QCS9075 | 25.92 ms | 2 - 7 MB | NPU
| ResNet-3D | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.905 ms | 0 - 182 MB | NPU
| ResNet-3D | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.975 ms | 0 - 175 MB | NPU
| ResNet-3D | ONNX | w8a8 | Snapdragon® X2 Elite | 2.225 ms | 33 - 33 MB | NPU
| ResNet-3D | ONNX | w8a8 | Snapdragon® X Elite | 4.785 ms | 32 - 32 MB | NPU
| ResNet-3D | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3.346 ms | 0 - 245 MB | NPU
| ResNet-3D | ONNX | w8a8 | Qualcomm® QCS6490 | 272.474 ms | 56 - 138 MB | CPU
| ResNet-3D | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 4.537 ms | 1 - 4 MB | NPU
| ResNet-3D | ONNX | w8a8 | Qualcomm® QCS9075 | 4.714 ms | 0 - 3 MB | NPU
| ResNet-3D | ONNX | w8a8 | Qualcomm® QCM6690 | 328.859 ms | 55 - 62 MB | CPU
| ResNet-3D | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 2.74 ms | 0 - 174 MB | NPU
| ResNet-3D | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 283.13 ms | 66 - 74 MB | CPU
| ResNet-3D | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.825 ms | 2 - 209 MB | NPU
| ResNet-3D | QNN_DLC | float | Snapdragon® X2 Elite | 7.178 ms | 2 - 2 MB | NPU
| ResNet-3D | QNN_DLC | float | Snapdragon® X Elite | 14.076 ms | 2 - 2 MB | NPU
| ResNet-3D | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.712 ms | 0 - 277 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 91.78 ms | 0 - 211 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 13.371 ms | 2 - 4 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® SA8775P | 23.995 ms | 1 - 197 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® QCS9075 | 27.617 ms | 2 - 6 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 28.302 ms | 2 - 240 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® SA7255P | 91.78 ms | 0 - 211 MB | NPU
| ResNet-3D | QNN_DLC | float | Qualcomm® SA8295P | 26.403 ms | 0 - 194 MB | NPU
| ResNet-3D | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.883 ms | 0 - 213 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.904 ms | 0 - 66 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 2.496 ms | 1 - 1 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Snapdragon® X Elite | 4.859 ms | 1 - 1 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3.374 ms | 1 - 122 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 19.785 ms | 1 - 3 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 14.945 ms | 1 - 62 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 4.571 ms | 0 - 4 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® SA8775P | 4.605 ms | 1 - 61 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 4.809 ms | 1 - 3 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 92.31 ms | 1 - 185 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 6.107 ms | 1 - 125 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® SA7255P | 14.945 ms | 1 - 62 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Qualcomm® SA8295P | 8.3 ms | 0 - 58 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 2.705 ms | 1 - 180 MB | NPU
| ResNet-3D | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 7.835 ms | 1 - 174 MB | NPU
| ResNet-3D | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 187.53 ms | 0 - 222 MB | NPU
| ResNet-3D | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 208.494 ms | 0 - 269 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 561.036 ms | 0 - 221 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 278.138 ms | 0 - 2 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® SA8775P | 299.254 ms | 0 - 213 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® QCS9075 | 285.288 ms | 0 - 69 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 305.95 ms | 0 - 260 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® SA7255P | 561.036 ms | 0 - 221 MB | NPU
| ResNet-3D | TFLITE | float | Qualcomm® SA8295P | 327.473 ms | 0 - 213 MB | NPU
| ResNet-3D | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 193.817 ms | 0 - 219 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 159.263 ms | 0 - 293 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 178.246 ms | 0 - 313 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® QCS6490 | 1745.069 ms | 695 - 1060 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 493.699 ms | 0 - 250 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 229.649 ms | 0 - 3 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® SA8775P | 247.541 ms | 0 - 297 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® QCS9075 | 211.159 ms | 0 - 67 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® QCM6690 | 1472.84 ms | 657 - 812 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 253.006 ms | 0 - 308 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® SA7255P | 493.699 ms | 0 - 250 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Qualcomm® SA8295P | 261.745 ms | 0 - 251 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 134.065 ms | 0 - 384 MB | NPU
| ResNet-3D | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1171.783 ms | 672 - 726 MB | NPU

## License
* The license for the original implementation of ResNet-3D can be found
  [here](https://github.com/pytorch/vision/blob/main/LICENSE).

## References
* [A Closer Look at Spatiotemporal Convolutions for Action Recognition](https://arxiv.org/abs/1711.11248)
* [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).