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@@ -13,16 +13,15 @@ The YOLOv5 model can be found [here](https://github.com/ultralytics/yolov5)
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  |Device|SoC|Runtime|Model|Size (pixels)|Inference Time (ms)|Precision|Compute Unit|Model Download|
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  |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
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- |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|6.7|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int8.qnn.serialized.bin)|
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- |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|15.2|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int16.qnn.serialized.bin)|
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- |AidBox QCS6490|QCS6490|SNPE|YOLOv5s(cutoff)|640|5.5|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int8_htp_snpe2.dlc)|
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- |AidBox QCS6490|QCS6490|SNPE|YOLOv5s(cutoff)|640|13.4|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int16_htp_snpe2.dlc)|
 
 
 
 
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  |AidBox GS865|QCS8250|SNPE|YOLOv5s(cutoff)|640|21|INT8|NPU|[model download]()|
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- |APLUX QCS8550|QCS8550|QNN|YOLOv5s(cutoff)|640|4.1|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS8550/cutoff_yolov5s_640_int8.qnn.serialized.bin)|
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- |APLUX QCS8550|QCS8550|QNN|YOLOv5s(cutoff)|640|13.4|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS8550/cutoff_yolov5s_640_int16.qnn.serialized.bin)|
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- |APLUX QCS8550|QCS8550|SNPE|YOLOv5s(cutoff)|640|2.3|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS8550/cutoff_yolov5s_int8_htp_snpe2.dlc)|
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- |APLUX QCS8550|QCS8550|SNPE|YOLOv5s(cutoff)|640|5.8|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS8550/cutoff_yolov5s_int16_htp_snpe2.dlc)|
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-
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  **Demo models conversion**
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  Demo models converted from [**AIMO(AI Model Optimizier)**](https://aidlux.com/en/product/aimo).
@@ -31,4 +30,12 @@ The source model **YOLOv5s.onnx** can be found [here](https://huggingface.co/apl
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  |Device|SoC|Runtime|Model|Size (pixels)|Precision|Compute Unit|AIMO Conversion Steps|
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  |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
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- |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|INT8|NPU||
 
 
 
 
 
 
 
 
 
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  |Device|SoC|Runtime|Model|Size (pixels)|Inference Time (ms)|Precision|Compute Unit|Model Download|
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  |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
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+ |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|6.7|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS6490/cutoff_yolov5s_int8.qnn.serialized.bin)|
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+ |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|15.2|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS6490/cutoff_yolov5s_int16.qnn.serialized.bin)|
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+ |AidBox QCS6490|QCS6490|SNPE|YOLOv5s(cutoff)|640|5.5|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS6490/cutoff_yolov5s_int8_htp_snpe2.dlc)|
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+ |AidBox QCS6490|QCS6490|SNPE|YOLOv5s(cutoff)|640|13.4|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS6490/cutoff_yolov5s_int16_htp_snpe2.dlc)|
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+ |APLUX QCS8550|QCS8550|QNN|YOLOv5s(cutoff)|640|4.1|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS8550/cutoff_yolov5s_640_int8.qnn.serialized.bin)|
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+ |APLUX QCS8550|QCS8550|QNN|YOLOv5s(cutoff)|640|13.4|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS8550/cutoff_yolov5s_640_int16.qnn.serialized.bin)|
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+ |APLUX QCS8550|QCS8550|SNPE|YOLOv5s(cutoff)|640|2.3|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS8550/cutoff_yolov5s_int8_htp_snpe2.dlc)|
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+ |APLUX QCS8550|QCS8550|SNPE|YOLOv5s(cutoff)|640|5.8|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/Models/QCS8550/cutoff_yolov5s_int16_htp_snpe2.dlc)|
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  |AidBox GS865|QCS8250|SNPE|YOLOv5s(cutoff)|640|21|INT8|NPU|[model download]()|
 
 
 
 
 
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  **Demo models conversion**
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  Demo models converted from [**AIMO(AI Model Optimizier)**](https://aidlux.com/en/product/aimo).
 
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  |Device|SoC|Runtime|Model|Size (pixels)|Precision|Compute Unit|AIMO Conversion Steps|
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  |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
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+ |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|INT8|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS6490/aimo_yolov5s_qnn_int8.png)|
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+ |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|INT16|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS6490/aimo_yolov5s_qnn_int16.png)|
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+ |AidBox QCS6490|QCS6490|SNPE|YOLOv5s(cutoff)|640|INT8|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS6490/aimo_yolov5s_snpe_int8.png)|
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+ |AidBox QCS6490|QCS6490|SNPE|YOLOv5s(cutoff)|640|INT16|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS6490/aimo_yolov5s_snpe_int16.png)|
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+ |APLUX QCS8550|QCS8550|QNN|YOLOv5s(cutoff)|640|INT8|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS8550/aimo_yolov5s_qnn_int8.png)|
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+ |APLUX QCS8550|QCS8550|QNN|YOLOv5s(cutoff)|640|INT16|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS8550/aimo_yolov5s_qnn_int16.png)|
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+ |APLUX QCS8550|QCS8550|SNPE|YOLOv5s(cutoff)|640|INT8|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS8550/aimo_yolov5s_snpe_int8.png)|
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+ |APLUX QCS8550|QCS8550|SNPE|YOLOv5s(cutoff)|640|INT16|NPU|[View Steps](https://huggingface.co/aplux/YOLOv5/blob/main/AIMO/QCS8550/aimo_yolov5s_snpe_int16.png)|
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+ |AidBox GS865|QCS8250|SNPE|YOLOv5s(cutoff)|640|INT8|NPU|[View Steps]()|