v0.48.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.
README.md
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@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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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.
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This is based on the implementation of ResNet18 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.
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| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.
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| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.
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For more device-specific assets and performance metrics, visit **[ResNet18 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet18)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [ResNet18 on GitHub](https://github.com/
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| ResNet18 | ONNX | float | Snapdragon®
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| ResNet18 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.778 ms | 0 - 35 MB | NPU
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| ResNet18 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.
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| ResNet18 | ONNX | float | Qualcomm® QCS9075 | 1.
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| ResNet18 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.
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| ResNet18 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| ResNet18 | ONNX |
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| ResNet18 | ONNX | w8a8 | Snapdragon® X Elite | 0.
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| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCS6490 | 13.
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCS9075 | 0.
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCM6690 | 11.
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| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.
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| ResNet18 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 8.
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| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| ResNet18 |
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| ResNet18 | QNN_DLC | float | Snapdragon® X Elite | 1.
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| ResNet18 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 5.
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.
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| ResNet18 | QNN_DLC | float | Qualcomm® SA8775P | 1.
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS9075 | 2.
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.
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| ResNet18 | QNN_DLC | float | Qualcomm® SA7255P | 5.
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| ResNet18 | QNN_DLC | float | Qualcomm® SA8295P | 2.
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| ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.
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| ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| ResNet18 | QNN_DLC |
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8775P |
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 3.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| ResNet18 |
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| ResNet18 | TFLITE | float |
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| ResNet18 | TFLITE | float | Qualcomm®
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| ResNet18 | TFLITE | float | Qualcomm®
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| ResNet18 | TFLITE | float | Qualcomm®
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| ResNet18 | TFLITE | float | Qualcomm®
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| ResNet18 | TFLITE | float | Qualcomm®
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| ResNet18 | TFLITE | float | Qualcomm®
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| ResNet18 | TFLITE | float |
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| ResNet18 | TFLITE | float | Snapdragon® 8 Elite
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| ResNet18 | TFLITE |
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| ResNet18 | TFLITE | w8a8 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 | Qualcomm®
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| ResNet18 | TFLITE | w8a8 |
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| ResNet18 | TFLITE | w8a8 | Snapdragon®
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| ResNet18 | TFLITE | w8a8 | Snapdragon®
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| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.224 ms | 0 - 25 MB | NPU
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## License
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* The license for the original implementation of ResNet18 can be found
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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.
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This is based on the implementation of ResNet18 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
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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/main/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).
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-onnx-float.zip)
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| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-onnx-w8a8.zip)
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-qnn_dlc-float.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-qnn_dlc-w8a8.zip)
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| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-tflite-float.zip)
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| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-tflite-w8a8.zip)
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For more device-specific assets and performance metrics, visit **[ResNet18 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet18)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/resnet18) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [ResNet18 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/resnet18) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| ResNet18 | ONNX | float | Snapdragon® X2 Elite | 0.513 ms | 23 - 23 MB | NPU
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| ResNet18 | ONNX | float | Snapdragon® X Elite | 1.179 ms | 22 - 22 MB | NPU
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| ResNet18 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.778 ms | 0 - 35 MB | NPU
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| ResNet18 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.066 ms | 0 - 40 MB | NPU
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| ResNet18 | ONNX | float | Qualcomm® QCS9075 | 1.806 ms | 1 - 3 MB | NPU
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| ResNet18 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.63 ms | 0 - 20 MB | NPU
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| ResNet18 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.556 ms | 1 - 26 MB | NPU
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| ResNet18 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.266 ms | 11 - 11 MB | NPU
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| ResNet18 | ONNX | w8a8 | Snapdragon® X Elite | 0.627 ms | 11 - 11 MB | NPU
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| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.415 ms | 0 - 48 MB | NPU
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCS6490 | 13.609 ms | 7 - 23 MB | CPU
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.663 ms | 0 - 32 MB | NPU
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCS9075 | 0.669 ms | 0 - 3 MB | NPU
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| ResNet18 | ONNX | w8a8 | Qualcomm® QCM6690 | 11.322 ms | 6 - 13 MB | CPU
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| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.367 ms | 0 - 27 MB | NPU
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| ResNet18 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 8.668 ms | 8 - 15 MB | CPU
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| ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.342 ms | 0 - 26 MB | NPU
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| ResNet18 | QNN_DLC | float | Snapdragon® X2 Elite | 0.694 ms | 1 - 1 MB | NPU
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| ResNet18 | QNN_DLC | float | Snapdragon® X Elite | 1.468 ms | 1 - 1 MB | NPU
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| ResNet18 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.911 ms | 0 - 35 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 5.782 ms | 1 - 24 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.328 ms | 1 - 37 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® SA8775P | 1.947 ms | 1 - 27 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS9075 | 2.064 ms | 1 - 3 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.431 ms | 0 - 37 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® SA7255P | 5.782 ms | 1 - 24 MB | NPU
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| ResNet18 | QNN_DLC | float | Qualcomm® SA8295P | 2.308 ms | 0 - 19 MB | NPU
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| ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.7 ms | 0 - 23 MB | NPU
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| ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.586 ms | 1 - 28 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.311 ms | 0 - 0 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.617 ms | 0 - 0 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.391 ms | 0 - 47 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.802 ms | 2 - 4 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.269 ms | 0 - 23 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.524 ms | 0 - 2 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.697 ms | 0 - 23 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.642 ms | 2 - 4 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 3.234 ms | 0 - 31 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.745 ms | 0 - 49 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.269 ms | 0 - 23 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.907 ms | 0 - 21 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.304 ms | 0 - 26 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.682 ms | 0 - 31 MB | NPU
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| ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.264 ms | 0 - 26 MB | NPU
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| ResNet18 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.92 ms | 0 - 64 MB | NPU
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| ResNet18 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 5.745 ms | 0 - 28 MB | NPU
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| ResNet18 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.342 ms | 0 - 2 MB | NPU
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| ResNet18 | TFLITE | float | Qualcomm® SA8775P | 1.944 ms | 0 - 30 MB | NPU
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| ResNet18 | TFLITE | float | Qualcomm® QCS9075 | 2.033 ms | 0 - 25 MB | NPU
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| ResNet18 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 2.467 ms | 0 - 61 MB | NPU
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| 117 |
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| ResNet18 | TFLITE | float | Qualcomm® SA7255P | 5.745 ms | 0 - 28 MB | NPU
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| ResNet18 | TFLITE | float | Qualcomm® SA8295P | 2.3 ms | 0 - 22 MB | NPU
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| ResNet18 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.705 ms | 0 - 26 MB | NPU
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| ResNet18 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.589 ms | 0 - 30 MB | NPU
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| 121 |
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| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.283 ms | 0 - 46 MB | NPU
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| ResNet18 | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.527 ms | 0 - 13 MB | NPU
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| ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.019 ms | 0 - 23 MB | NPU
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| ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.385 ms | 0 - 2 MB | NPU
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| 125 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm® SA8775P | 0.573 ms | 0 - 25 MB | NPU
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| 126 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.508 ms | 0 - 13 MB | NPU
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| 127 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.781 ms | 0 - 31 MB | NPU
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| 128 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.599 ms | 0 - 48 MB | NPU
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| 129 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm® SA7255P | 1.019 ms | 0 - 23 MB | NPU
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| 130 |
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| ResNet18 | TFLITE | w8a8 | Qualcomm® SA8295P | 0.747 ms | 0 - 21 MB | NPU
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| 131 |
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| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.241 ms | 0 - 25 MB | NPU
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| 132 |
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| ResNet18 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.548 ms | 0 - 30 MB | NPU
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| ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.22 ms | 0 - 26 MB | NPU
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## License
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* The license for the original implementation of ResNet18 can be found
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