YamNet: Optimized for Qualcomm Devices

An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenet_v1 depthwise-separable convolution architecture.

This is based on the implementation of YamNet 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 1.24.1	Download
ONNX	w8a16	Universal	QAIRT 2.42, ONNX Runtime 1.24.1	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.24.1	Download
QNN_DLC	float	Universal	QAIRT 2.43	Download
QNN_DLC	w8a16	Universal	QAIRT 2.43	Download
QNN_DLC	w8a8	Universal	QAIRT 2.43	Download
TFLITE	float	Universal	QAIRT 2.43, TFLite 2.17.0	Download
TFLITE	w8a8	Universal	QAIRT 2.43, TFLite 2.17.0	Download

For more device-specific assets and performance metrics, visit YamNet 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 YamNet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.audio_classification

Model Stats:

Model checkpoint: yamnet.pth
Input resolution: 1x1x96x64
Number of parameters: 3.73M
Model size (float): 14.2 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
YamNet	ONNX	float	Snapdragon® X Elite	0.287 ms	8 - 8 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.175 ms	0 - 38 MB	NPU
YamNet	ONNX	float	Qualcomm® QCS8550 (Proxy)	0.22 ms	0 - 28 MB	NPU
YamNet	ONNX	float	Qualcomm® QCS9075	0.3 ms	0 - 3 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.157 ms	0 - 21 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.148 ms	0 - 24 MB	NPU
YamNet	ONNX	float	Snapdragon® X2 Elite	0.089 ms	8 - 8 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® X Elite	0.21 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.111 ms	0 - 37 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCS6490	13.793 ms	11 - 15 MB	CPU
YamNet	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	0.138 ms	0 - 5 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCS9075	0.213 ms	0 - 3 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCM6690	4.691 ms	0 - 7 MB	CPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.1 ms	0 - 23 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	3.404 ms	0 - 7 MB	CPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.097 ms	0 - 26 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® X2 Elite	0.064 ms	0 - 0 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® X Elite	0.215 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.109 ms	0 - 38 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCS6490	1.658 ms	0 - 6 MB	CPU
YamNet	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.141 ms	0 - 6 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCS9075	0.218 ms	0 - 3 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCM6690	0.892 ms	0 - 8 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.096 ms	0 - 23 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	0.633 ms	0 - 7 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.098 ms	0 - 26 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® X2 Elite	0.057 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® X Elite	0.273 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.168 ms	0 - 37 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	0.665 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	0.216 ms	0 - 1 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8775P	0.367 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS9075	0.262 ms	2 - 4 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	0.352 ms	0 - 39 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA7255P	0.665 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8295P	0.566 ms	0 - 20 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.147 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.144 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® X2 Elite	0.187 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® X Elite	0.221 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	0.102 ms	0 - 35 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS6490	0.603 ms	2 - 4 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	0.421 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	0.136 ms	0 - 8 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8775P	0.276 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS9075	0.188 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCM6690	0.518 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	0.214 ms	0 - 36 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA7255P	0.421 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8295P	0.423 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.105 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.167 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.091 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.158 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® X Elite	0.209 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.114 ms	0 - 35 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS6490	0.616 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	0.405 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.139 ms	0 - 1 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8775P	0.281 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS9075	0.183 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCM6690	0.431 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.212 ms	0 - 36 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA7255P	0.405 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8295P	0.43 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.104 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.161 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.098 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® X2 Elite	0.186 ms	0 - 0 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.182 ms	0 - 44 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	0.699 ms	0 - 28 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	0.218 ms	0 - 3 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8775P	1.149 ms	0 - 29 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS9075	0.262 ms	0 - 10 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	0.354 ms	0 - 46 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA7255P	0.699 ms	0 - 28 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8295P	0.571 ms	0 - 27 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.161 ms	0 - 32 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.154 ms	0 - 30 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.114 ms	0 - 35 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS6490	0.524 ms	0 - 6 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	0.423 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.139 ms	0 - 1 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8775P	0.289 ms	0 - 24 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS9075	0.188 ms	0 - 6 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCM6690	0.433 ms	0 - 21 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	0.223 ms	0 - 37 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA7255P	0.423 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8295P	0.446 ms	0 - 20 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.102 ms	0 - 26 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.169 ms	0 - 21 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.086 ms	0 - 24 MB	NPU

License

The license for the original implementation of YamNet can be found here.

References

Community

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Paper for qualcomm/YamNet

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Paper • 1704.04861 • Published Apr 17, 2017 • 1