---
title: GoogLeNet
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/GoogLeNet"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/GoogLeNet.md"
repository: Qualcomm-AI-Hub/GoogLeNet
last_updated: 2026-10-16
license: bsd-3-clause
pipeline_tag: image-classification
tasks:
  - image-classification
downloads: 2
stars: 0
tags:
  - android
---

# GoogLeNet

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

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

- **Repository**: Qualcomm-AI-Hub/GoogLeNet
- **License**: bsd-3-clause
- **Tasks**: image-classification
- **Tags**: android
- **Downloads**: 2
- **Stars**: 0
- **Last updated**: 2026-10-16

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

---

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

# GoogLeNet: Optimized for Qualcomm Devices

GoogLeNet 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 GoogLeNet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/googlenet.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/googlenet) 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/googlenet/releases/v0.62.1/googlenet-onnx-float.zip)
| ONNX | w8a8 | 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/googlenet/releases/v0.62.1/googlenet-onnx-w8a8.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/googlenet/releases/v0.62.1/googlenet-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/googlenet/releases/v0.62.1/googlenet-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/googlenet/releases/v0.62.1/googlenet-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/googlenet/releases/v0.62.1/googlenet-tflite-w8a8.zip)

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


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

## Model Details

**Model Type:** Model_use_case.image_classification

**Model Stats:**
- Input resolution: 224x224
- Model checkpoint: Imagenet
- Model size (float): 25.3 MB
- Model size (w8a8): 6.54 MB
- Number of parameters: 6.62M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| GoogLeNet | ONNX | float | Snapdragon® X2 Elite | 0.431 ms | 2 - 2 MB | NPU
| GoogLeNet | ONNX | float | Snapdragon® X Elite | 0.869 ms | 13 - 13 MB | NPU
| GoogLeNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.561 ms | 0 - 46 MB | NPU
| GoogLeNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.581 ms | 1 - 51 MB | NPU
| GoogLeNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.533 ms | 1 - 4 MB | NPU
| GoogLeNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.842 ms | 0 - 81 MB | NPU
| GoogLeNet | ONNX | float | Qualcomm® QCS8450 | 1.581 ms | 1 - 51 MB | NPU
| GoogLeNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.494 ms | 1 - 3 MB | NPU
| GoogLeNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.869 ms | 13 - 13 MB | NPU
| GoogLeNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.467 ms | 0 - 27 MB | NPU
| GoogLeNet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.467 ms | 0 - 27 MB | NPU
| GoogLeNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.393 ms | 0 - 27 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.161 ms | 1 - 1 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® X Elite | 0.293 ms | 7 - 7 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.217 ms | 0 - 56 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.492 ms | 0 - 53 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.185 ms | 0 - 3 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.382 ms | 0 - 4 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.307 ms | 0 - 9 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® QCS8450 | 0.492 ms | 0 - 53 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.428 ms | 0 - 3 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.293 ms | 7 - 7 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 2.314 ms | 0 - 36 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.35 ms | 0 - 36 MB | NPU
| GoogLeNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.198 ms | 0 - 38 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.198 ms | 0 - 38 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.188 ms | 0 - 35 MB | NPU
| GoogLeNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.35 ms | 0 - 36 MB | NPU
| GoogLeNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.501 ms | 1 - 1 MB | NPU
| GoogLeNet | QNN_DLC | float | Snapdragon® X Elite | 0.959 ms | 1 - 1 MB | NPU
| GoogLeNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.565 ms | 0 - 43 MB | NPU
| GoogLeNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.75 ms | 0 - 49 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.464 ms | 1 - 4 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.813 ms | 1 - 2 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® SA8775P | 1.528 ms | 1 - 29 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® SA8650P | 1.528 ms | 1 - 29 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® SA8255P | 1.528 ms | 1 - 29 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® QCS8450 | 1.75 ms | 0 - 49 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.417 ms | 1 - 3 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.959 ms | 1 - 1 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.454 ms | 0 - 28 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® SA7255P | 4.992 ms | 1 - 27 MB | NPU
| GoogLeNet | QNN_DLC | float | Qualcomm® SA8295P | 1.787 ms | 1 - 25 MB | NPU
| GoogLeNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.454 ms | 0 - 28 MB | NPU
| GoogLeNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.376 ms | 1 - 33 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.221 ms | 0 - 0 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.346 ms | 1 - 1 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.19 ms | 0 - 45 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.416 ms | 0 - 49 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.174 ms | 2 - 4 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.343 ms | 0 - 3 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.246 ms | 0 - 20 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.408 ms | 0 - 31 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.408 ms | 0 - 31 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.408 ms | 0 - 31 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.416 ms | 0 - 49 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.328 ms | 0 - 2 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.346 ms | 1 - 1 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 2.355 ms | 0 - 32 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.33 ms | 0 - 31 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.156 ms | 0 - 29 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.804 ms | 0 - 29 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.627 ms | 0 - 27 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.156 ms | 0 - 29 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.139 ms | 0 - 29 MB | NPU
| GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.33 ms | 0 - 31 MB | NPU
| GoogLeNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.562 ms | 0 - 54 MB | NPU
| GoogLeNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.756 ms | 0 - 60 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.482 ms | 0 - 16 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.821 ms | 0 - 2 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® SA8775P | 1.562 ms | 0 - 35 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® SA8650P | 1.562 ms | 0 - 35 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® SA8255P | 1.562 ms | 0 - 35 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® QCS8450 | 1.756 ms | 0 - 60 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.432 ms | 0 - 16 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.459 ms | 0 - 33 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® SA7255P | 5.061 ms | 0 - 33 MB | NPU
| GoogLeNet | TFLITE | float | Qualcomm® SA8295P | 1.821 ms | 0 - 31 MB | NPU
| GoogLeNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.459 ms | 0 - 33 MB | NPU
| GoogLeNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.382 ms | 0 - 34 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.192 ms | 0 - 43 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.424 ms | 0 - 49 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.199 ms | 0 - 8 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.363 ms | 0 - 9 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.241 ms | 0 - 2 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8775P | 0.424 ms | 0 - 30 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8650P | 0.424 ms | 0 - 30 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8255P | 0.424 ms | 0 - 30 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.424 ms | 0 - 49 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.327 ms | 0 - 9 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 2.248 ms | 0 - 29 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.329 ms | 0 - 29 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.161 ms | 0 - 28 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® SA7255P | 0.835 ms | 0 - 28 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8295P | 0.641 ms | 0 - 26 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.161 ms | 0 - 28 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.145 ms | 0 - 30 MB | NPU
| GoogLeNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.329 ms | 0 - 29 MB | NPU

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

## References
* [Going Deeper with Convolutions](https://arxiv.org/abs/1409.4842)
* [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/googlenet.py)

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