---
title: GPUNet
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/GPUNet"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/GPUNet.md"
repository: Qualcomm-AI-Hub/GPUNet
last_updated: 2026-10-16
license: apache-2.0
pipeline_tag: image-classification
tasks:
  - image-classification
downloads: 0
stars: 0
tags:
  - backbone
  - bu_auto
  - android
---

# GPUNet

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

Qualcomm-AI-Hub/GPUNet 是 ModelScope 魔搭社区上的image-classification模型，采用 apache-2.0 许可。

- **Repository**: Qualcomm-AI-Hub/GPUNet
- **License**: apache-2.0
- **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/GPUNet

---

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

# GPUNet: Optimized for Qualcomm Devices

GPUNet 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 GPUNet found [here](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet).
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/gpunet) 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/gpunet/releases/v0.62.1/gpunet-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/gpunet/releases/v0.62.1/gpunet-onnx-w8a16.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/gpunet/releases/v0.62.1/gpunet-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/gpunet/releases/v0.62.1/gpunet-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/gpunet/releases/v0.62.1/gpunet-qnn_dlc-w8a16.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/gpunet/releases/v0.62.1/gpunet-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/gpunet/releases/v0.62.1/gpunet-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/gpunet/releases/v0.62.1/gpunet-tflite-w8a8.zip)

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


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

## Model Details

**Model Type:** Model_use_case.image_classification

**Model Stats:**
- Input resolution: 224x224
- Model checkpoint: Imagenet
- Model size (float): 45.28MB
- Model size (w8a8): 21.3MB
- Number of parameters: 10.49M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| GPUNet | ONNX | float | Snapdragon® X2 Elite | 0.476 ms | 2 - 2 MB | NPU
| GPUNet | ONNX | float | Snapdragon® X Elite | 0.977 ms | 25 - 25 MB | NPU
| GPUNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.763 ms | 0 - 61 MB | NPU
| GPUNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.713 ms | 1 - 63 MB | NPU
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.499 ms | 1 - 4 MB | NPU
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.012 ms | 0 - 29 MB | NPU
| GPUNet | ONNX | float | Qualcomm® QCS8450 | 1.713 ms | 1 - 63 MB | NPU
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.389 ms | 1 - 3 MB | NPU
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.977 ms | 25 - 25 MB | NPU
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.598 ms | 0 - 32 MB | NPU
| GPUNet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.598 ms | 0 - 32 MB | NPU
| GPUNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.518 ms | 0 - 33 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® X2 Elite | 0.387 ms | 1 - 1 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® X Elite | 0.835 ms | 12 - 12 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.581 ms | 0 - 70 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.118 ms | 0 - 69 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.448 ms | 0 - 3 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.874 ms | 0 - 4 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.814 ms | 0 - 16 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® QCS8450 | 1.118 ms | 0 - 69 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.93 ms | 0 - 3 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.835 ms | 12 - 12 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.697 ms | 0 - 173 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.056 ms | 0 - 47 MB | NPU
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.434 ms | 0 - 45 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.434 ms | 0 - 45 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.371 ms | 0 - 48 MB | NPU
| GPUNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.056 ms | 0 - 47 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.337 ms | 1 - 1 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® X Elite | 0.6 ms | 12 - 12 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.456 ms | 0 - 67 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.866 ms | 0 - 66 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 2.117 ms | 0 - 3 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.686 ms | 0 - 4 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.62 ms | 0 - 17 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® QCS8450 | 0.866 ms | 0 - 66 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.753 ms | 0 - 3 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.6 ms | 12 - 12 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.29 ms | 0 - 47 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.754 ms | 0 - 45 MB | NPU
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.388 ms | 0 - 43 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.388 ms | 0 - 43 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.354 ms | 0 - 49 MB | NPU
| GPUNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.754 ms | 0 - 45 MB | NPU
| GPUNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.646 ms | 1 - 1 MB | NPU
| GPUNet | QNN_DLC | float | Snapdragon® X Elite | 1.391 ms | 1 - 1 MB | NPU
| GPUNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.909 ms | 0 - 56 MB | NPU
| GPUNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 2.399 ms | 0 - 63 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.631 ms | 1 - 4 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.268 ms | 1 - 2 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® SA8775P | 1.704 ms | 1 - 33 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® SA8650P | 1.704 ms | 1 - 33 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® SA8255P | 1.704 ms | 1 - 33 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® QCS8450 | 2.399 ms | 0 - 63 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.576 ms | 1 - 3 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.391 ms | 1 - 1 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.703 ms | 1 - 34 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® SA7255P | 4.704 ms | 1 - 30 MB | NPU
| GPUNet | QNN_DLC | float | Qualcomm® SA8295P | 2.27 ms | 0 - 32 MB | NPU
| GPUNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.703 ms | 1 - 34 MB | NPU
| GPUNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.573 ms | 1 - 35 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.566 ms | 0 - 0 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.222 ms | 0 - 0 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.765 ms | 0 - 60 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.426 ms | 0 - 64 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 4.299 ms | 2 - 4 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.093 ms | 0 - 3 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.059 ms | 0 - 13 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.282 ms | 0 - 45 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.282 ms | 0 - 45 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.282 ms | 0 - 45 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.426 ms | 0 - 64 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.176 ms | 0 - 2 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.222 ms | 0 - 0 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.548 ms | 0 - 168 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.296 ms | 0 - 44 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.529 ms | 0 - 47 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.474 ms | 0 - 43 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.685 ms | 0 - 41 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.529 ms | 0 - 47 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.441 ms | 0 - 43 MB | NPU
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.296 ms | 0 - 44 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.347 ms | 0 - 0 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.711 ms | 0 - 0 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.458 ms | 0 - 57 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.847 ms | 0 - 62 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 2.249 ms | 2 - 4 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.662 ms | 0 - 3 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.614 ms | 0 - 1 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.805 ms | 0 - 42 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.805 ms | 0 - 42 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.805 ms | 0 - 42 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.847 ms | 0 - 62 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.694 ms | 0 - 2 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.711 ms | 0 - 0 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.534 ms | 0 - 44 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.785 ms | 0 - 40 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.342 ms | 0 - 39 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.127 ms | 0 - 38 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.342 ms | 0 - 39 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.291 ms | 0 - 44 MB | NPU
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.785 ms | 0 - 40 MB | NPU
| GPUNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.909 ms | 0 - 74 MB | NPU
| GPUNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 2.389 ms | 0 - 82 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.629 ms | 0 - 28 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.263 ms | 0 - 29 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® SA8775P | 1.762 ms | 0 - 47 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® SA8650P | 1.762 ms | 0 - 47 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® SA8255P | 1.762 ms | 0 - 47 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® QCS8450 | 2.389 ms | 0 - 82 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.608 ms | 0 - 27 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.698 ms | 0 - 44 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® SA7255P | 4.722 ms | 0 - 43 MB | NPU
| GPUNet | TFLITE | float | Qualcomm® SA8295P | 2.289 ms | 0 - 44 MB | NPU
| GPUNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.698 ms | 0 - 44 MB | NPU
| GPUNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.565 ms | 0 - 48 MB | NPU
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.342 ms | 0 - 55 MB | NPU
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.682 ms | 0 - 62 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.894 ms | 0 - 15 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.542 ms | 0 - 15 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.428 ms | 0 - 2 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8775P | 0.64 ms | 0 - 42 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8650P | 0.64 ms | 0 - 42 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8255P | 0.64 ms | 0 - 42 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.682 ms | 0 - 62 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.523 ms | 0 - 14 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.044 ms | 0 - 40 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.615 ms | 0 - 39 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.271 ms | 0 - 37 MB | NPU
| GPUNet | TFLITE | w8a8 | Qualcomm® SA7255P | 19.083 ms | 1 - 25 MB | GPU
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8295P | 0.906 ms | 0 - 37 MB | NPU
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.271 ms | 0 - 37 MB | NPU
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.242 ms | 0 - 41 MB | NPU
| GPUNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.615 ms | 0 - 39 MB | NPU

## License
* The license for the original implementation of GPUNet can be found
  [here](http://www.apache.org/licenses/LICENSE-2.0).

## References
* [GPUNet: Searching the Deployable Convolution Neural Networks for GPUs](https://arxiv.org/abs/2205.00841)
* [Source Model Implementation](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet)

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