---
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/video_mae/web-assets/model_demo.png)

# Video-MAE: Optimized for Qualcomm Devices

Video MAE (Masked Auto Encoder) is a network for doing video classification that uses the ViT (Vision Transformer) backbone.

This is based on the implementation of Video-MAE found [here](https://github.com/MCG-NJU/VideoMAE).
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/video_mae) 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/video_mae/releases/v0.53.1/video_mae-onnx-float.zip)
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.53.1/video_mae-onnx-w8a16.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.53.1/video_mae-qnn_dlc-float.zip)
| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.53.1/video_mae-qnn_dlc-w8a16.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.53.1/video_mae-tflite-float.zip)

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


### 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/video_mae) 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 [Video-MAE on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/video_mae) for usage instructions.

## Model Details

**Model Type:** Model_use_case.video_classification

**Model Stats:**
- Model checkpoint: Kinectics-400
- Input resolution: 224x224
- Number of parameters: 87.7M
- Model size (float): 335 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| Video-MAE | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 448.715 ms | 9 - 997 MB | NPU
| Video-MAE | ONNX | float | Snapdragon® 8 Elite Mobile | 380.738 ms | 3 - 915 MB | NPU
| Video-MAE | ONNX | float | Snapdragon® X2 Elite | 438.207 ms | 186 - 186 MB | NPU
| Video-MAE | ONNX | float | Snapdragon® X Elite | 665.106 ms | 187 - 187 MB | NPU
| Video-MAE | ONNX | float | Snapdragon® X Elite | 665.106 ms | 187 - 187 MB | NPU
| Video-MAE | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 401.658 ms | 20 - 1209 MB | NPU
| Video-MAE | ONNX | float | Qualcomm® QCS8550 (Proxy) | 632.18 ms | 0 - 220 MB | NPU
| Video-MAE | ONNX | float | Qualcomm® QCS9075 | 686.02 ms | 9 - 21 MB | NPU
| Video-MAE | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 380.738 ms | 3 - 915 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 318.12 ms | 5 - 1026 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 268.796 ms | 1 - 970 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® X2 Elite | 315.424 ms | 99 - 99 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® X Elite | 460.275 ms | 99 - 99 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® X Elite | 460.275 ms | 99 - 99 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 420.106 ms | 5 - 1368 MB | NPU
| Video-MAE | ONNX | w8a16 | Qualcomm® QCS6490 | 9558.694 ms | 475 - 491 MB | CPU
| Video-MAE | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 444.439 ms | 0 - 112 MB | NPU
| Video-MAE | ONNX | w8a16 | Qualcomm® QCS9075 | 573.657 ms | 0 - 7 MB | NPU
| Video-MAE | ONNX | w8a16 | Qualcomm® QCM6690 | 4761.175 ms | 439 - 450 MB | CPU
| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 268.796 ms | 1 - 970 MB | NPU
| Video-MAE | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4610.601 ms | 481 - 494 MB | CPU
| Video-MAE | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4610.601 ms | 481 - 494 MB | CPU
| Video-MAE | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 329.469 ms | 9 - 722 MB | NPU
| Video-MAE | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 261.13 ms | 9 - 750 MB | NPU
| Video-MAE | QNN_DLC | float | Snapdragon® X2 Elite | 325.489 ms | 9 - 9 MB | NPU
| Video-MAE | QNN_DLC | float | Snapdragon® X Elite | 459.949 ms | 9 - 9 MB | NPU
| Video-MAE | QNN_DLC | float | Snapdragon® X Elite | 459.949 ms | 9 - 9 MB | NPU
| Video-MAE | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 344.282 ms | 9 - 907 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1119.507 ms | 0 - 773 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 439.851 ms | 9 - 11 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® SA8775P | 455.299 ms | 1 - 661 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® SA8775P | 455.299 ms | 1 - 661 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® SA8775P | 455.299 ms | 1 - 661 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® QCS9075 | 487.037 ms | 9 - 20 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 545.485 ms | 9 - 850 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® SA7255P | 1119.507 ms | 0 - 773 MB | NPU
| Video-MAE | QNN_DLC | float | Qualcomm® SA8295P | 558.95 ms | 0 - 597 MB | NPU
| Video-MAE | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 261.13 ms | 9 - 750 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 295.73 ms | 5 - 803 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 239.763 ms | 5 - 792 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 294.73 ms | 5 - 5 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® X Elite | 452.903 ms | 5 - 5 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® X Elite | 452.903 ms | 5 - 5 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 299.861 ms | 5 - 955 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 946.992 ms | 1 - 831 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 432.828 ms | 5 - 7 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA8775P | 441.17 ms | 1 - 807 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA8775P | 441.17 ms | 1 - 807 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA8775P | 441.17 ms | 1 - 807 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 415.886 ms | 1 - 7 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 2413.695 ms | 5 - 1311 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA7255P | 946.992 ms | 1 - 831 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 239.763 ms | 5 - 792 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 707.904 ms | 5 - 1070 MB | NPU
| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 707.904 ms | 5 - 1070 MB | NPU
| Video-MAE | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 53.713 ms | 0 - 717 MB | NPU
| Video-MAE | TFLITE | float | Snapdragon® 8 Elite Mobile | 64.725 ms | 0 - 711 MB | NPU
| Video-MAE | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 92.991 ms | 0 - 965 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 416.588 ms | 0 - 724 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 125.384 ms | 0 - 4 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® SA8775P | 148.248 ms | 0 - 712 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® SA8775P | 148.248 ms | 0 - 712 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® SA8775P | 148.248 ms | 0 - 712 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® QCS9075 | 158.52 ms | 0 - 206 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 265.013 ms | 0 - 897 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® SA7255P | 416.588 ms | 0 - 724 MB | NPU
| Video-MAE | TFLITE | float | Qualcomm® SA8295P | 202.193 ms | 0 - 656 MB | NPU
| Video-MAE | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 64.725 ms | 0 - 711 MB | NPU

## License
* The license for the original implementation of Video-MAE can be found
  [here](https://github.com/MCG-NJU/VideoMAE/blob/main/LICENSE).

## References
* [Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training](https://arxiv.org/abs/2203.12602)
* [Source Model Implementation](https://github.com/MCG-NJU/VideoMAE)

## 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).