---
title: EfficientNet-B0
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/EfficientNet-B0"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/EfficientNet-B0.md"
repository: Qualcomm-AI-Hub/EfficientNet-B0
last_updated: 2026-10-16
license: bsd-3-clause
pipeline_tag: image-classification
tasks:
  - image-classification
downloads: 0
stars: 0
tags:
  - backbone
  - bu_auto
  - android
---

# EfficientNet-B0

> EfficientNet-B0 - Qualcomm-AI-Hub 在 ModelScope 开源的模型。EfficientNet-B0: Optimized for Qualcomm Devices

Qualcomm-AI-Hub/EfficientNet-B0 是 ModelScope 魔搭社区上的image-classification模型，采用 bsd-3-clause 许可。

- **Repository**: Qualcomm-AI-Hub/EfficientNet-B0
- **License**: bsd-3-clause
- **Tasks**: image-classification
- **Tags**: backbone, bu_auto, android
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-10-16

Source: https://www.modelscope.cn/models/Qualcomm-AI-Hub/EfficientNet-B0

---

![](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientnet_b0/web-assets/model_demo.png)

# EfficientNet-B0: Optimized for Qualcomm Devices

EfficientNetB0 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 EfficientNet-B0 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.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-cn/blob/main/src/qai_hub_models/models/efficientnet_b0) 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/efficientnet_b0/releases/v0.62.1/efficientnet_b0-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/efficientnet_b0/releases/v0.62.1/efficientnet_b0-onnx-w8a16.zip)
| ONNX | w8a16_mixed_int16 | 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/efficientnet_b0/releases/v0.62.1/efficientnet_b0-onnx-w8a16_mixed_int16.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/efficientnet_b0/releases/v0.62.1/efficientnet_b0-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/efficientnet_b0/releases/v0.62.1/efficientnet_b0-qnn_dlc-w8a16.zip)
| QNN_DLC | w8a16_mixed_int16 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientnet_b0/releases/v0.62.1/efficientnet_b0-qnn_dlc-w8a16_mixed_int16.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientnet_b0/releases/v0.62.1/efficientnet_b0-tflite-float.zip)

For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.cn/models/efficientnet_b0)**.


### 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/efficientnet_b0) 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 [EfficientNet-B0 on GitHub](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/efficientnet_b0) for usage instructions.

## Model Details

**Model Type:** Model_use_case.image_classification

**Model Stats:**
- Input resolution: 224x224
- Model checkpoint: Imagenet
- Model size (float): 20.1 MB
- Model size (w8a16): 6.99 MB
- Number of parameters: 5.27M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| EfficientNet-B0 | ONNX | float | Snapdragon® X2 Elite | 0.656 ms | 2 - 2 MB | NPU
| EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.315 ms | 14 - 14 MB | NPU
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.904 ms | 0 - 69 MB | NPU
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.88 ms | 1 - 78 MB | NPU
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.605 ms | 1 - 4 MB | NPU
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.259 ms | 0 - 16 MB | NPU
| EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.88 ms | 1 - 78 MB | NPU
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.628 ms | 1 - 3 MB | NPU
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.315 ms | 14 - 14 MB | NPU
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.697 ms | 0 - 38 MB | NPU
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.697 ms | 0 - 38 MB | NPU
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.552 ms | 0 - 43 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.571 ms | 1 - 1 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.486 ms | 6 - 6 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.949 ms | 0 - 82 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.659 ms | 0 - 83 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.816 ms | 0 - 3 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.363 ms | 0 - 4 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.425 ms | 0 - 102 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8450 | 1.659 ms | 0 - 83 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.576 ms | 0 - 3 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.486 ms | 6 - 6 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.691 ms | 0 - 65 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.444 ms | 2 - 60 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.668 ms | 0 - 57 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.668 ms | 0 - 57 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.555 ms | 0 - 60 MB | NPU
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.444 ms | 2 - 60 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.584 ms | 1 - 1 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® X Elite | 1.491 ms | 6 - 6 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 0.951 ms | 0 - 84 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-8275 | 1.365 ms | 0 - 4 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.432 ms | 0 - 9 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-9075 | 1.574 ms | 0 - 3 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.491 ms | 6 - 6 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-6690 | 5.892 ms | 0 - 65 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-7790 | 1.475 ms | 0 - 59 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-8750 | 0.68 ms | 0 - 63 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Mobile | 0.68 ms | 0 - 63 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.553 ms | 0 - 63 MB | NPU
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 1.475 ms | 0 - 59 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.844 ms | 1 - 1 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.753 ms | 1 - 1 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.075 ms | 0 - 65 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.614 ms | 0 - 74 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.783 ms | 1 - 4 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.562 ms | 0 - 7 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.009 ms | 1 - 40 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8650P | 2.009 ms | 1 - 40 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8255P | 2.009 ms | 1 - 40 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 | 3.614 ms | 0 - 74 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.871 ms | 1 - 3 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.753 ms | 1 - 1 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.806 ms | 1 - 36 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.947 ms | 1 - 36 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.618 ms | 0 - 43 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.806 ms | 1 - 36 MB | NPU
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.613 ms | 1 - 42 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.803 ms | 0 - 0 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.862 ms | 0 - 0 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.132 ms | 0 - 66 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.97 ms | 0 - 68 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.057 ms | 0 - 2 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.569 ms | 0 - 3 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.672 ms | 0 - 2 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.947 ms | 0 - 52 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.947 ms | 0 - 52 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.947 ms | 0 - 52 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.97 ms | 0 - 68 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.783 ms | 0 - 2 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.862 ms | 0 - 0 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.469 ms | 0 - 164 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.708 ms | 0 - 48 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.773 ms | 0 - 46 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.281 ms | 0 - 47 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.375 ms | 0 - 46 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.773 ms | 0 - 46 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.645 ms | 0 - 47 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.708 ms | 0 - 48 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.816 ms | 0 - 0 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X Elite | 1.9 ms | 0 - 0 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 1.134 ms | 0 - 66 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-8275 | 1.586 ms | 0 - 3 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.675 ms | 0 - 2 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8775P | 1.951 ms | 0 - 51 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8650P | 1.951 ms | 0 - 51 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8255P | 1.951 ms | 0 - 51 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-9075 | 1.803 ms | 0 - 2 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.9 ms | 0 - 0 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-6690 | 6.742 ms | 0 - 169 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-7790 | 1.718 ms | 0 - 48 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-8750 | 0.779 ms | 0 - 47 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA7255P | 3.3 ms | 0 - 48 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Mobile | 0.779 ms | 0 - 47 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.634 ms | 0 - 47 MB | NPU
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 1.718 ms | 0 - 48 MB | NPU
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.068 ms | 0 - 65 MB | NPU
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.59 ms | 0 - 80 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.795 ms | 0 - 17 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.532 ms | 0 - 2 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.025 ms | 0 - 45 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8650P | 2.025 ms | 0 - 45 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8255P | 2.025 ms | 0 - 45 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 | 3.59 ms | 0 - 80 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.882 ms | 0 - 16 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.816 ms | 0 - 46 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.922 ms | 0 - 41 MB | NPU
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.634 ms | 0 - 48 MB | NPU
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.816 ms | 0 - 46 MB | NPU
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.611 ms | 0 - 41 MB | NPU

## License
* The license for the original implementation of EfficientNet-B0 can be found
  [here](https://github.com/pytorch/vision/blob/main/LICENSE).

## References
* [EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://arxiv.org/abs/1905.11946)
* [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.py)

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