Unverified50% confidenceBenchmarkExact time
The Jetson Nano running lightweight models such as YOLOv5s or YOLOv8n typically achieves 10–25 FPS after TensorRT optimization
1
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50%
Confidence
Long-term
Relevance
9/1/2026
First Seen
Sources
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Related Claims
UnverifiedFor projects that process high-resolution video streams, run larger models (YOLOv8m/l), or require real-time detection above 30 FPS, the Jetson Nano will become a significant bottleneck.75% similarUnverifiedThe NVIDIA Jetson Nano has a compute performance of 472 GFLOPS and a power consumption of 5–10 W; the Jetson AGX Orin has a compute performance of 275 TOPS and a power consumption of 15–60 W.69% similarUnverified在 RK3576 上纯 YOLO 检测模型通常能跑到 30 FPS 以上，而 YOLO26n-Depth 仅有 3-4 FPS66% similarUnverifiedYOLO将推理速度提升至45 FPS，Fast YOLO更达155 FPS61% similar
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