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ResNet18

Image Classification
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ResNet18
File size: 12,346 Bytes
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---
library_name: pytorch
license: other
tags:
- backbone
- bu_auto
- android
pipeline_tag: image-classification

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/web-assets/model_demo.png)

# ResNet18: Optimized for Qualcomm Devices

ResNet18 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 ResNet18 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.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/blob/v0.59.0/src/qai_hub_models/models/resnet18) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.59.0/resnet18-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.59.0/resnet18-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.59.0/resnet18-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.59.0/resnet18-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.59.0/resnet18-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.59.0/resnet18-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[ResNet18 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet18)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/resnet18) 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 [ResNet18 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/resnet18) for usage instructions.

## Model Details

**Model Type:** Model_use_case.image_classification

**Model Stats:**
- Input resolution: 224x224
- Model checkpoint: Imagenet
- Model size (float): 44.6 MB
- Model size (w8a8): 11.3 MB
- Number of parameters: 11.7M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| ResNet18 | ONNX | float | Snapdragon® X2 Elite | 0.509 ms | 2 - 2 MB | NPU
| ResNet18 | ONNX | float | Snapdragon® X Elite | 1.022 ms | 23 - 23 MB | NPU
| ResNet18 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.782 ms | 0 - 39 MB | NPU
| ResNet18 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.837 ms | 1 - 40 MB | NPU
| ResNet18 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.049 ms | 0 - 34 MB | NPU
| ResNet18 | ONNX | float | Qualcomm® QCS8450 | 1.837 ms | 1 - 40 MB | NPU
| ResNet18 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.693 ms | 1 - 3 MB | NPU
| ResNet18 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.022 ms | 23 - 23 MB | NPU
| ResNet18 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.616 ms | 0 - 22 MB | NPU
| ResNet18 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.616 ms | 0 - 22 MB | NPU
| ResNet18 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.556 ms | 0 - 27 MB | NPU
| ResNet18 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.262 ms | 1 - 1 MB | NPU
| ResNet18 | ONNX | w8a8 | Snapdragon® X Elite | 0.495 ms | 12 - 12 MB | NPU
| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.414 ms | 0 - 50 MB | NPU
| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.75 ms | 0 - 55 MB | NPU
| ResNet18 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.868 ms | 0 - 3 MB | NPU
| ResNet18 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.554 ms | 0 - 124 MB | NPU
| ResNet18 | ONNX | w8a8 | Qualcomm® QCS8450 | 0.75 ms | 0 - 55 MB | NPU
| ResNet18 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.661 ms | 0 - 3 MB | NPU
| ResNet18 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.495 ms | 12 - 12 MB | NPU
| ResNet18 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.361 ms | 0 - 24 MB | NPU
| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.361 ms | 0 - 24 MB | NPU
| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.344 ms | 0 - 25 MB | NPU
| ResNet18 | QNN_DLC | float | Snapdragon® X2 Elite | 0.663 ms | 1 - 1 MB | NPU
| ResNet18 | QNN_DLC | float | Snapdragon® X Elite | 1.449 ms | 1 - 1 MB | NPU
| ResNet18 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.92 ms | 0 - 39 MB | NPU
| ResNet18 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 2.43 ms | 0 - 37 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 5.875 ms | 1 - 24 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.323 ms | 1 - 14 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® SA8775P | 1.944 ms | 1 - 26 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® SA8650P | 1.944 ms | 1 - 26 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® SA8255P | 1.944 ms | 1 - 26 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® QCS8450 | 2.43 ms | 0 - 37 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.813 ms | 1 - 3 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.449 ms | 1 - 1 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.715 ms | 1 - 28 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® SA7255P | 5.875 ms | 1 - 24 MB | NPU
| ResNet18 | QNN_DLC | float | Qualcomm® SA8295P | 2.315 ms | 0 - 20 MB | NPU
| ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.715 ms | 1 - 28 MB | NPU
| ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.593 ms | 1 - 24 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.313 ms | 0 - 0 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.617 ms | 0 - 0 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.412 ms | 0 - 47 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.744 ms | 0 - 54 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 2.051 ms | 2 - 4 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8275 | 1.317 ms | 0 - 24 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.543 ms | 0 - 1 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.718 ms | 0 - 26 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.718 ms | 0 - 26 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.718 ms | 0 - 26 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.744 ms | 0 - 54 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.616 ms | 2 - 4 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.617 ms | 0 - 0 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.232 ms | 0 - 33 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.681 ms | 0 - 32 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.313 ms | 0 - 27 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.317 ms | 0 - 24 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.947 ms | 0 - 22 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.313 ms | 0 - 27 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.276 ms | 0 - 24 MB | NPU
| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.681 ms | 0 - 32 MB | NPU
| ResNet18 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.913 ms | 0 - 55 MB | NPU
| ResNet18 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 2.465 ms | 0 - 58 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 5.845 ms | 0 - 27 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.319 ms | 0 - 16 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® SA8775P | 1.916 ms | 0 - 28 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® SA8650P | 1.916 ms | 0 - 28 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® SA8255P | 1.916 ms | 0 - 28 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® QCS8450 | 2.465 ms | 0 - 58 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2.013 ms | 0 - 25 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.711 ms | 0 - 28 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® SA7255P | 5.845 ms | 0 - 27 MB | NPU
| ResNet18 | TFLITE | float | Qualcomm® SA8295P | 2.262 ms | 0 - 22 MB | NPU
| ResNet18 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.711 ms | 0 - 28 MB | NPU
| ResNet18 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.589 ms | 0 - 26 MB | NPU
| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.292 ms | 0 - 47 MB | NPU
| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.607 ms | 0 - 53 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.639 ms | 0 - 13 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8275 | 1.01 ms | 0 - 24 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.383 ms | 0 - 1 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® SA8775P | 0.563 ms | 0 - 25 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® SA8650P | 0.563 ms | 0 - 25 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® SA8255P | 0.563 ms | 0 - 25 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.607 ms | 0 - 53 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.469 ms | 0 - 13 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 2.796 ms | 0 - 31 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.545 ms | 0 - 31 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.25 ms | 0 - 23 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® SA7255P | 1.01 ms | 0 - 24 MB | NPU
| ResNet18 | TFLITE | w8a8 | Qualcomm® SA8295P | 0.766 ms | 0 - 22 MB | NPU
| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.25 ms | 0 - 23 MB | NPU
| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.23 ms | 0 - 24 MB | NPU
| ResNet18 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.545 ms | 0 - 31 MB | NPU

## License
* The license for the original implementation of ResNet18 can be found
  [here](https://github.com/pytorch/vision/blob/main/LICENSE).

## References
* [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)
* [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py)

## 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).