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ResNet-2Plus1D

Video Classification
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android
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ResNet-2Plus1D
File size: 13,436 Bytes
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---
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_2plus1d/web-assets/model_demo.png)

# ResNet-2Plus1D: Optimized for Qualcomm Devices

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.

This is based on the implementation of ResNet-2Plus1D 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/v0.58.0/src/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).

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 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.58.0/resnet_2plus1d-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_2plus1d/releases/v0.58.0/resnet_2plus1d-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_2plus1d/releases/v0.58.0/resnet_2plus1d-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_2plus1d/releases/v0.58.0/resnet_2plus1d-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_2plus1d/releases/v0.58.0/resnet_2plus1d-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_2plus1d/releases/v0.58.0/resnet_2plus1d-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[ResNet-2Plus1D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet_2plus1d)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/resnet_2plus1d) 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-2Plus1D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/resnet_2plus1d) for usage instructions.

## Model Details

**Model Type:** Model_use_case.video_classification

**Model Stats:**
- Model checkpoint: Kinetics-400
- Input resolution: 112x112
- Number of parameters: 31.5M
- Model size (float): 120 MB
- Model size (w8a8): 30.8 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| ResNet-2Plus1D | ONNX | float | Snapdragon® X2 Elite | 34.069 ms | 12 - 12 MB | NPU
| ResNet-2Plus1D | ONNX | float | Snapdragon® X Elite | 67.09 ms | 57 - 57 MB | NPU
| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 52.889 ms | 4 - 767 MB | NPU
| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 141.115 ms | 0 - 587 MB | NPU
| ResNet-2Plus1D | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 68.101 ms | 0 - 512 MB | NPU
| ResNet-2Plus1D | ONNX | float | Qualcomm® QCS8450 | 141.115 ms | 0 - 587 MB | NPU
| ResNet-2Plus1D | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 116.369 ms | 11 - 26 MB | NPU
| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 31.749 ms | 0 - 567 MB | NPU
| ResNet-2Plus1D | ONNX | float | Snapdragon® 8 Elite Mobile | 42.553 ms | 2 - 551 MB | NPU
| ResNet-2Plus1D | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 42.553 ms | 2 - 551 MB | NPU
| ResNet-2Plus1D | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 67.09 ms | 57 - 57 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® X2 Elite | 11.835 ms | 3 - 3 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® X Elite | 25.065 ms | 32 - 32 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 19.574 ms | 0 - 470 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 45.037 ms | 0 - 460 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 25.113 ms | 0 - 40 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® QCS8450 | 45.037 ms | 0 - 460 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 15.672 ms | 0 - 372 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 41.03 ms | 3 - 385 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 12.049 ms | 0 - 386 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 24.168 ms | 0 - 6 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 41.03 ms | 3 - 385 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 15.672 ms | 0 - 372 MB | NPU
| ResNet-2Plus1D | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 25.065 ms | 32 - 32 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® X2 Elite | 34.435 ms | 12 - 12 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® X Elite | 66.649 ms | 12 - 12 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 52.432 ms | 12 - 720 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 144.24 ms | 12 - 600 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® QCS8275 | 424.933 ms | 1 - 492 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 66.538 ms | 12 - 14 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA8775P | 110.962 ms | 0 - 489 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA8650P | 110.962 ms | 0 - 489 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA8255P | 110.962 ms | 0 - 489 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® QCS8450 | 144.24 ms | 12 - 600 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 111.628 ms | 12 - 25 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 29.838 ms | 5 - 501 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA7255P | 424.933 ms | 1 - 492 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 41.822 ms | 0 - 487 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® SA8295P | 118.422 ms | 0 - 398 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 41.822 ms | 0 - 487 MB | NPU
| ResNet-2Plus1D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 66.649 ms | 12 - 12 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 13.127 ms | 3 - 3 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® X Elite | 27.033 ms | 3 - 3 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 21.128 ms | 3 - 468 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 47.629 ms | 3 - 460 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 131.287 ms | 3 - 7 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 75.159 ms | 3 - 373 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 27.425 ms | 3 - 421 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8775P | 24.431 ms | 3 - 371 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8650P | 24.431 ms | 3 - 371 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8255P | 24.431 ms | 3 - 371 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 47.629 ms | 3 - 460 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 16.749 ms | 3 - 373 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 46.667 ms | 3 - 385 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 13.202 ms | 3 - 390 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 24.606 ms | 3 - 7 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 422.562 ms | 3 - 424 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA7255P | 75.159 ms | 3 - 373 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® SA8295P | 41.911 ms | 2 - 368 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 46.667 ms | 3 - 385 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 16.749 ms | 3 - 373 MB | NPU
| ResNet-2Plus1D | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 27.033 ms | 3 - 3 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1492.431 ms | 0 - 799 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 2376.848 ms | 0 - 737 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® QCS8275 | 3622.265 ms | 2 - 580 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1958.497 ms | 0 - 4 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA8775P | 1961.124 ms | 1 - 580 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA8650P | 1961.124 ms | 1 - 580 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA8255P | 1961.124 ms | 1 - 580 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® QCS8450 | 2376.848 ms | 0 - 737 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 3772.093 ms | 0 - 82 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1273.491 ms | 0 - 573 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA7255P | 3622.265 ms | 2 - 580 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Snapdragon® 8 Elite Mobile | 1414.464 ms | 0 - 577 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® SA8295P | 2443.499 ms | 1 - 541 MB | NPU
| ResNet-2Plus1D | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1414.464 ms | 0 - 577 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3095.516 ms | 1 - 1624 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 4758.684 ms | 4 - 1343 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 8645.45 ms | 1448 - 2240 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® QCS8275 | 8118.17 ms | 3 - 1383 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4131.917 ms | 1 - 4 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA8775P | 4291.613 ms | 2 - 1381 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA8650P | 4291.613 ms | 2 - 1381 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA8255P | 4291.613 ms | 2 - 1381 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® QCS8450 | 4758.684 ms | 4 - 1343 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 2860.879 ms | 1 - 1681 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 6174.478 ms | 1345 - 1727 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 3458.507 ms | 0 - 1453 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 4297.173 ms | 0 - 79 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 7966.761 ms | 1382 - 1625 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA7255P | 8118.17 ms | 3 - 1383 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® SA8295P | 4657.251 ms | 2 - 1090 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 6174.478 ms | 1345 - 1727 MB | NPU
| ResNet-2Plus1D | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 2860.879 ms | 1 - 1681 MB | NPU

## License
* The license for the original implementation of ResNet-2Plus1D 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).