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 2.37, ONNX Runtime 1.23.0	Download
ONNX	w8a16	Universal	QAIRT 2.37, ONNX Runtime 1.23.0	Download
ONNX	w8a8	Universal	QAIRT 2.37, ONNX Runtime 1.23.0	Download
QNN_DLC	float	Universal	QAIRT 2.42	Download
QNN_DLC	w8a16	Universal	QAIRT 2.42	Download
QNN_DLC	w8a8	Universal	QAIRT 2.42	Download
TFLITE	float	Universal	QAIRT 2.42, TFLite 2.17.0	Download
TFLITE	w8a8	Universal	QAIRT 2.42, 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	0.286 ms	8 - 8 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.33 ms	0 - 109 MB	NPU
YamNet	ONNX	float	Qualcomm® QCS8550 (Proxy)	0.367 ms	0 - 117 MB	NPU
YamNet	ONNX	float	Qualcomm® QCS9075	0.487 ms	0 - 3 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.269 ms	0 - 92 MB	NPU
YamNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.26 ms	0 - 92 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® X Elite	0.21 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.265 ms	0 - 106 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCS6490	11.068 ms	9 - 14 MB	CPU
YamNet	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	0.317 ms	0 - 11 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCS9075	0.394 ms	0 - 3 MB	NPU
YamNet	ONNX	w8a16	Qualcomm® QCM6690	6.783 ms	6 - 13 MB	CPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.208 ms	0 - 96 MB	NPU
YamNet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	4.83 ms	6 - 13 MB	CPU
YamNet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.204 ms	0 - 95 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® X Elite	0.22 ms	4 - 4 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.255 ms	0 - 105 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCS6490	1.655 ms	0 - 6 MB	CPU
YamNet	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.333 ms	0 - 6 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCS9075	0.393 ms	0 - 3 MB	NPU
YamNet	ONNX	w8a8	Qualcomm® QCM6690	0.825 ms	0 - 8 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.207 ms	0 - 92 MB	NPU
YamNet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	0.561 ms	0 - 7 MB	CPU
YamNet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.2 ms	0 - 95 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® X Elite	0.286 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.181 ms	0 - 38 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	0.211 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8775P	0.36 ms	0 - 23 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS9075	0.259 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	0.355 ms	0 - 39 MB	NPU
YamNet	QNN_DLC	float	Qualcomm® SA8295P	0.556 ms	0 - 20 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.161 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.15 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® X Elite	0.214 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	0.116 ms	0 - 35 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS6490	0.631 ms	0 - 2 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 - 1 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® SA8775P	0.268 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCS9075	0.184 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a16	Qualcomm® QCM6690	0.502 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	0.428 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.094 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.171 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.098 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® X Elite	0.202 ms	0 - 0 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.11 ms	0 - 35 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS6490	0.624 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	0.392 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.131 ms	0 - 1 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8775P	0.273 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS9075	0.183 ms	0 - 2 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCM6690	0.434 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.205 ms	0 - 36 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA7255P	0.392 ms	0 - 24 MB	NPU
YamNet	QNN_DLC	w8a8	Qualcomm® SA8295P	0.443 ms	0 - 21 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.094 ms	0 - 25 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.164 ms	0 - 22 MB	NPU
YamNet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.089 ms	0 - 25 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.181 ms	0 - 44 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	1.962 ms	0 - 20 MB	GPU
YamNet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	0.221 ms	0 - 1 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA8775P	0.368 ms	0 - 31 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS9075	0.261 ms	0 - 10 MB	NPU
YamNet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	0.355 ms	0 - 45 MB	NPU
YamNet	TFLITE	float	Qualcomm® SA7255P	1.962 ms	0 - 20 MB	GPU
YamNet	TFLITE	float	Qualcomm® SA8295P	0.561 ms	0 - 27 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.159 ms	0 - 32 MB	NPU
YamNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.146 ms	0 - 30 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.109 ms	0 - 35 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS6490	0.51 ms	0 - 6 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	0.418 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.131 ms	0 - 7 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8775P	0.784 ms	0 - 24 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS9075	0.182 ms	0 - 6 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCM6690	0.426 ms	0 - 21 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	0.208 ms	0 - 37 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA7255P	0.418 ms	0 - 23 MB	NPU
YamNet	TFLITE	w8a8	Qualcomm® SA8295P	0.434 ms	0 - 20 MB	NPU
YamNet	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.101 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	0.095 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