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ResNet34-SSD

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metadata 
library_name: pytorch
license: other
tags:
  - android
pipeline_tag: object-detection

ResNet34-SSD: Optimized for Qualcomm Devices

ResNet34-SSD is a single-stage object detection model that integrates the ResNet34 backbone with the SSD (Single Shot MultiBox Detector) framework. It is optimized for real-time detection tasks and supports multiple deployment backends including PyTorch, TensorFlow, and ONNX.

This is based on the implementation of ResNet34-SSD found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up 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 2.42, ONNX Runtime 1.24.3 Download
QNN_DLC float Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit ResNet34-SSD on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models 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 ResNet34-SSD on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

  • Model checkpoint: resnet34-ssd1200
  • Input resolution: 1x3x1200x1200
  • Number of parameters: 20.0M
  • Model size (float): 76.2 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
ResNet34-SSD ONNX float Snapdragon® 8 Elite Gen 5 Mobile 38.733 ms 17 - 513 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Elite Mobile 50.177 ms 2 - 428 MB NPU
ResNet34-SSD ONNX float Snapdragon® X2 Elite 43.419 ms 30 - 30 MB NPU
ResNet34-SSD ONNX float Snapdragon® X Elite 91.464 ms 29 - 29 MB NPU
ResNet34-SSD ONNX float Snapdragon® X Elite 91.464 ms 29 - 29 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Gen 3 Mobile 62.899 ms 0 - 517 MB NPU
ResNet34-SSD ONNX float Qualcomm® QCS8550 (Proxy) 90.698 ms 0 - 573 MB NPU
ResNet34-SSD ONNX float Qualcomm® QCS9075 152.711 ms 16 - 36 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Elite For Galaxy Mobile 50.177 ms 2 - 428 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 52.76 ms 15 - 553 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Elite Mobile 66.869 ms 16 - 391 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® X2 Elite 61.836 ms 17 - 17 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® X Elite 128.96 ms 17 - 17 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® X Elite 128.96 ms 17 - 17 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Gen 3 Mobile 84.568 ms 15 - 606 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® QCS8275 (Proxy) 481.914 ms 16 - 385 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® QCS8550 (Proxy) 128.396 ms 17 - 19 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® QCS9075 193.951 ms 17 - 35 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® QCS8450 (Proxy) 262.739 ms 3 - 511 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 66.869 ms 16 - 391 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 76.117 ms 0 - 564 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Elite Mobile 88.158 ms 0 - 402 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Gen 3 Mobile 107.7 ms 0 - 543 MB NPU
ResNet34-SSD TFLITE float Qualcomm® QCS8275 (Proxy) 513.324 ms 0 - 378 MB NPU
ResNet34-SSD TFLITE float Qualcomm® QCS8550 (Proxy) 146.036 ms 0 - 3 MB NPU
ResNet34-SSD TFLITE float Qualcomm® QCS9075 199.375 ms 0 - 64 MB NPU
ResNet34-SSD TFLITE float Qualcomm® QCS8450 (Proxy) 234.949 ms 1 - 617 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 88.158 ms 0 - 402 MB NPU

License

  • The license for the original implementation of ResNet34-SSD can be found here.

References

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