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 1.27.1	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	43.332 ms	17 - 17 MB	NPU
ResNet34-SSD	ONNX	float	Snapdragon® X Elite	88.328 ms	30 - 30 MB	NPU
ResNet34-SSD	ONNX	float	Snapdragon® 8 Gen 3 Mobile	63.01 ms	3 - 501 MB	NPU
ResNet34-SSD	ONNX	float	Snapdragon® 8 Gen 1 Mobile	179.687 ms	17 - 445 MB	NPU
ResNet34-SSD	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	87.363 ms	0 - 31 MB	NPU
ResNet34-SSD	ONNX	float	Qualcomm® QCS8450	179.687 ms	17 - 445 MB	NPU
ResNet34-SSD	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	133.727 ms	16 - 36 MB	NPU
ResNet34-SSD	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	88.328 ms	30 - 30 MB	NPU
ResNet34-SSD	ONNX	float	Qualcomm® Dragonwing™ Q-8750	52.078 ms	1 - 423 MB	NPU
ResNet34-SSD	ONNX	float	Snapdragon® 8 Elite Mobile	52.078 ms	1 - 423 MB	NPU
ResNet34-SSD	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	38.973 ms	0 - 489 MB	NPU
ResNet34-SSD	QNN_DLC	float	Snapdragon® X2 Elite	61.973 ms	17 - 17 MB	NPU
ResNet34-SSD	QNN_DLC	float	Snapdragon® X Elite	130.901 ms	17 - 17 MB	NPU
ResNet34-SSD	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	84.929 ms	15 - 604 MB	NPU
ResNet34-SSD	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	261.455 ms	3 - 509 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	481.745 ms	16 - 384 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	129.444 ms	17 - 19 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® SA8775P	173.627 ms	16 - 385 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® SA8650P	173.627 ms	16 - 385 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® SA8255P	173.627 ms	16 - 385 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® QCS8450	261.455 ms	3 - 509 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	172.622 ms	18 - 37 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	130.901 ms	17 - 17 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	67.015 ms	16 - 391 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® SA7255P	481.745 ms	16 - 384 MB	NPU
ResNet34-SSD	QNN_DLC	float	Qualcomm® SA8295P	183.702 ms	0 - 329 MB	NPU
ResNet34-SSD	QNN_DLC	float	Snapdragon® 8 Elite Mobile	67.015 ms	16 - 391 MB	NPU
ResNet34-SSD	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	52.389 ms	8 - 547 MB	NPU
ResNet34-SSD	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	107.47 ms	0 - 542 MB	NPU
ResNet34-SSD	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	233.539 ms	1 - 621 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	513.176 ms	0 - 378 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	146.676 ms	0 - 3 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® SA8775P	183.849 ms	1 - 427 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® SA8650P	183.849 ms	1 - 427 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® SA8255P	183.849 ms	1 - 427 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® QCS8450	233.539 ms	1 - 621 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	181.406 ms	0 - 65 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	87.816 ms	0 - 403 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® SA7255P	513.176 ms	0 - 378 MB	NPU
ResNet34-SSD	TFLITE	float	Qualcomm® SA8295P	202.221 ms	0 - 353 MB	NPU
ResNet34-SSD	TFLITE	float	Snapdragon® 8 Elite Mobile	87.816 ms	0 - 403 MB	NPU
ResNet34-SSD	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	72.472 ms	0 - 570 MB	NPU

License

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

References

Source Model Implementation

Community

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