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 2.45, ONNX Runtime 1.25.0 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® X2 Elite 43.164 ms 17 - 17 MB NPU
ResNet34-SSD ONNX float Snapdragon® X Elite 88.605 ms 30 - 30 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Gen 3 Mobile 63.732 ms 0 - 502 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Gen 1 Mobile 176.341 ms 17 - 447 MB NPU
ResNet34-SSD ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 86.854 ms 17 - 21 MB NPU
ResNet34-SSD ONNX float Qualcomm® QCS8450 176.341 ms 17 - 447 MB NPU
ResNet34-SSD ONNX float Qualcomm® Dragonwing™ IQ-9075 135.119 ms 16 - 36 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Elite Gen 5 Mobile 38.959 ms 1 - 498 MB NPU
ResNet34-SSD ONNX float Snapdragon® 8 Elite Mobile 51.894 ms 1 - 422 MB NPU
ResNet34-SSD ONNX float Qualcomm® Dragonwing™ Q-8750 51.894 ms 1 - 422 MB NPU
ResNet34-SSD ONNX float Qualcomm® Dragonwing™ IQ-X7181 88.605 ms 30 - 30 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® X2 Elite 61.754 ms 17 - 17 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® X Elite 129.729 ms 17 - 17 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Gen 3 Mobile 84.267 ms 0 - 587 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Gen 1 Mobile 260.566 ms 3 - 509 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® QCS8275 481.817 ms 16 - 384 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 127.334 ms 17 - 366 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® SA8775P 173.666 ms 7 - 376 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® SA8650P 173.666 ms 7 - 376 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® SA8255P 173.666 ms 7 - 376 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® QCS8450 260.566 ms 3 - 509 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 172.456 ms 17 - 35 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 52.397 ms 14 - 559 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® SA7255P 481.817 ms 16 - 384 MB NPU
ResNet34-SSD QNN_DLC float Snapdragon® 8 Elite Mobile 67.113 ms 9 - 385 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® SA8295P 183.497 ms 0 - 329 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® Dragonwing™ Q-8750 67.113 ms 9 - 385 MB NPU
ResNet34-SSD QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 129.729 ms 17 - 17 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Gen 3 Mobile 107.865 ms 0 - 546 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Gen 1 Mobile 229.355 ms 1 - 617 MB NPU
ResNet34-SSD TFLITE float Qualcomm® QCS8275 512.823 ms 0 - 378 MB NPU
ResNet34-SSD TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 146.413 ms 0 - 4 MB NPU
ResNet34-SSD TFLITE float Qualcomm® SA8775P 183.677 ms 0 - 426 MB NPU
ResNet34-SSD TFLITE float Qualcomm® SA8650P 183.677 ms 0 - 426 MB NPU
ResNet34-SSD TFLITE float Qualcomm® SA8255P 183.677 ms 0 - 426 MB NPU
ResNet34-SSD TFLITE float Qualcomm® QCS8450 229.355 ms 1 - 617 MB NPU
ResNet34-SSD TFLITE float Qualcomm® Dragonwing™ IQ-9075 181.892 ms 0 - 65 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 72.174 ms 0 - 570 MB NPU
ResNet34-SSD TFLITE float Qualcomm® SA7255P 512.823 ms 0 - 378 MB NPU
ResNet34-SSD TFLITE float Snapdragon® 8 Elite Mobile 88.236 ms 0 - 403 MB NPU
ResNet34-SSD TFLITE float Qualcomm® SA8295P 202.138 ms 0 - 354 MB NPU
ResNet34-SSD TFLITE float Qualcomm® Dragonwing™ Q-8750 88.236 ms 0 - 403 MB NPU

License

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

References

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