Unverified50% confidenceFactExact time
YOLOv8 模型分为 nano 到 x 多个规格，YOLOv8s 在边缘设备上可实现实时推理
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Related Claims
UnverifiedYOLOv8 模型家族从 YOLOv8n（约 3.2M 参数）到 YOLOv8x（约 68M 参数）覆盖从树莓派到高性能 GPU 的硬件谱系78% similarUnverifiedYOLOv8-nano模型在中端NPU上可实现30FPS以上的推理帧率77% similarUnverified轻量化模型通常采用YOLOv8-nano、MobileNet等经剪枝量化蒸馏处理的网络，在低分辨率下实现每秒30帧以上实时推理72% similarUnverified相比YOLOv8，YOLOv11在模型架构上引入了C3k2模块和SPPF改进，在保持检测精度的同时降低了参数量和计算量67% similarUnverifiedImpact-Pack中常用的是Ultralytics维护的YOLOv8系列模型66% similar
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