ArmSoM_OfficialArmSoM boards (RK3576) CM5&Sige5 have been successfully tested with Ultralytics projects (e.g., YOLO11n) ,support Ultralytics YOLO11n with Rockchip RKNN!
🔥 Achieve low-latency, high-efficiency AI inference for edge applications like industrial automation, smart retail, and robotics.
🔗 Dive into benchmarks & deployment:https://docs.ultralytics.com/integrations/rockchip-rknn/#how-does-the-performance-of-rknn-models-compare-to-other-formats-on-rockchip-devices
Stay tuned!See how it goes!
@ultralytics @GlennJocher
#EdgeAI #RK3576 #YOLOv11n #rknn #NPU #ai #rockchip #hardware #opensource #embedded #iot
🔥 Achieve low-latency, high-efficiency AI inference for edge applications like industrial automation, smart retail, and robotics.
🔗 Dive into benchmarks & deployment:https://docs.ultralytics.com/integrations/rockchip-rknn/#how-does-the-performance-of-rknn-models-compare-to-other-formats-on-rockchip-devices
Stay tuned!See how it goes!
@ultralytics @GlennJocher
#EdgeAI #RK3576 #YOLOv11n #rknn #NPU #ai #rockchip #hardware #opensource #embedded #iot
Veera Laukkarinen