---
title: Mobile-VIT
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/Mobile-VIT"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/Mobile-VIT.md"
repository: Qualcomm-AI-Hub/Mobile-VIT
last_updated: 2026-10-16
license: bsd-3-clause
pipeline_tag: image-classification
tasks:
  - image-classification
downloads: 0
stars: 0
tags:
  - backbone
  - android
---

# Mobile-VIT

> Mobile-VIT - Qualcomm-AI-Hub 在 ModelScope 开源的模型。Mobile-VIT: Optimized for Qualcomm Devices

Qualcomm-AI-Hub/Mobile-VIT 是 ModelScope 魔搭社区上的image-classification模型，采用 bsd-3-clause 许可。

- **Repository**: Qualcomm-AI-Hub/Mobile-VIT
- **License**: bsd-3-clause
- **Tasks**: image-classification
- **Tags**: backbone, android
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-10-16

Source: https://www.modelscope.cn/models/Qualcomm-AI-Hub/Mobile-VIT

---

![](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/mobile_vit/web-assets/model_demo.png)

# Mobile-VIT: Optimized for Qualcomm Devices

MobileVit is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.

This is based on the implementation of Mobile-VIT found [here](https://github.com/apple/ml-cvnets).
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-cn/blob/main/src/qai_hub_models/models/mobile_vit) 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.cn) 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 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/mobile_vit/releases/v0.62.1/mobile_vit-onnx-float.zip)
| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/mobile_vit/releases/v0.62.1/mobile_vit-onnx-w8a16.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/mobile_vit/releases/v0.62.1/mobile_vit-qnn_dlc-float.zip)
| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/mobile_vit/releases/v0.62.1/mobile_vit-qnn_dlc-w8a16.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/mobile_vit/releases/v0.62.1/mobile_vit-tflite-float.zip)

For more device-specific assets and performance metrics, visit **[Mobile-VIT on Qualcomm® AI Hub](https://aihub.qualcomm.cn/models/mobile_vit)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/mobile_vit) 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 [Mobile-VIT on GitHub](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/mobile_vit) for usage instructions.

## Model Details

**Model Type:** Model_use_case.image_classification

**Model Stats:**
- Input resolution: 224x224
- Model checkpoint: Imagenet
- Model size (float): 21.4 MB
- Model size (w8a16): 6.56 MB
- Number of parameters: 5.57M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| Mobile-VIT | ONNX | float | Snapdragon® X2 Elite | 2.271 ms | 2 - 2 MB | NPU
| Mobile-VIT | ONNX | float | Snapdragon® X Elite | 4.579 ms | 12 - 12 MB | NPU
| Mobile-VIT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.025 ms | 0 - 93 MB | NPU
| Mobile-VIT | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.606 ms | 1 - 99 MB | NPU
| Mobile-VIT | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.687 ms | 1 - 4 MB | NPU
| Mobile-VIT | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.345 ms | 0 - 51 MB | NPU
| Mobile-VIT | ONNX | float | Qualcomm® QCS8450 | 6.606 ms | 1 - 99 MB | NPU
| Mobile-VIT | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.989 ms | 1 - 4 MB | NPU
| Mobile-VIT | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 4.579 ms | 12 - 12 MB | NPU
| Mobile-VIT | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.451 ms | 0 - 74 MB | NPU
| Mobile-VIT | ONNX | float | Snapdragon® 8 Elite Mobile | 2.451 ms | 0 - 74 MB | NPU
| Mobile-VIT | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.057 ms | 1 - 66 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® X2 Elite | 1.832 ms | 1 - 1 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® X Elite | 4.418 ms | 6 - 6 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.821 ms | 0 - 117 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 4.844 ms | 0 - 115 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 13.469 ms | 0 - 3 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 3.869 ms | 0 - 4 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.223 ms | 0 - 9 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® QCS8450 | 4.844 ms | 0 - 115 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 4.483 ms | 0 - 3 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 4.418 ms | 6 - 6 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 19.512 ms | 0 - 217 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 4.509 ms | 0 - 234 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 2.066 ms | 0 - 86 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 2.066 ms | 0 - 86 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.753 ms | 0 - 87 MB | NPU
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.509 ms | 0 - 234 MB | NPU
| Mobile-VIT | QNN_DLC | float | Snapdragon® X2 Elite | 2.49 ms | 1 - 1 MB | NPU
| Mobile-VIT | QNN_DLC | float | Snapdragon® X Elite | 4.608 ms | 1 - 1 MB | NPU
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.936 ms | 0 - 86 MB | NPU
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.408 ms | 0 - 90 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.503 ms | 1 - 4 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.236 ms | 1 - 3 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8775P | 5.01 ms | 1 - 66 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8650P | 5.01 ms | 1 - 66 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8255P | 5.01 ms | 1 - 66 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® QCS8450 | 6.408 ms | 0 - 90 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.81 ms | 3 - 5 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 4.608 ms | 1 - 1 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2.385 ms | 1 - 56 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA7255P | 11.192 ms | 1 - 57 MB | NPU
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8295P | 7.362 ms | 1 - 61 MB | NPU
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.385 ms | 1 - 56 MB | NPU
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.014 ms | 1 - 61 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.145 ms | 0 - 0 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.9 ms | 0 - 0 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.954 ms | 0 - 94 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 4.024 ms | 0 - 3 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.477 ms | 0 - 14 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.919 ms | 0 - 70 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA8650P | 4.919 ms | 0 - 70 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA8255P | 4.919 ms | 0 - 70 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 4.721 ms | 0 - 2 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 4.9 ms | 0 - 0 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 17.192 ms | 0 - 223 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 4.827 ms | 0 - 214 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 2.185 ms | 0 - 75 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA7255P | 8.031 ms | 0 - 70 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 2.185 ms | 0 - 75 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.811 ms | 0 - 74 MB | NPU
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.827 ms | 0 - 214 MB | NPU
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.949 ms | 0 - 102 MB | NPU
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.452 ms | 0 - 104 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.502 ms | 0 - 16 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.207 ms | 0 - 2 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® SA8775P | 5.063 ms | 0 - 80 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® SA8650P | 5.063 ms | 0 - 80 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® SA8255P | 5.063 ms | 0 - 80 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® QCS8450 | 6.452 ms | 0 - 104 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.79 ms | 0 - 15 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2.386 ms | 0 - 77 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® SA7255P | 11.208 ms | 0 - 79 MB | NPU
| Mobile-VIT | TFLITE | float | Qualcomm® SA8295P | 7.361 ms | 0 - 64 MB | NPU
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.386 ms | 0 - 77 MB | NPU
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.011 ms | 0 - 77 MB | NPU

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

## References
* [MOBILEVIT: LIGHT-WEIGHT, GENERAL-PURPOSE, AND MOBILE-FRIENDLY VISION TRANSFORMER](https://arxiv.org/abs/2110.02178)
* [Source Model Implementation](https://github.com/apple/ml-cvnets)

## Community
* For questions or feedback, chat with our engineers in [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.cn).