Whether you're competing in a triathlon, running a marathon, or freestyle swimming, you should never have to worry about your athletic performance. That's why the COROS PACE is engineered to help take your fitness goals, one step further. PACE is designed to deliver your performance metrics, when you need it most. This premium, lightweight GPS multi-sport watch provides advanced statistics for your running, swimming and cycling activities, all while out-pacing the competition on reliability.
Not so often do you see a combination of lightweight plus a long lasting battery life, the PACE has both. With an innovative CPU system engineered for power optimization, the PACE will perform up to 30 days in standard mode and up to 25 hours in GPS mode.
The PACE features a built-in heart rate monitor that records while swimming, cycling and running. With the COROS App, you can fully customize your zone training by adjusting both your reserve and max heart rate. Along with providing post-training stats, the watch will process this information to provide your calories burned and intensity minutes.
With data metrics such as cadence, stride length, pace, stroke rate, and SWOLF – our unique algorithms will accurately measure your technique. Giving you the tools you need to perform the best you can possibly be.
GPS, GLONASS and BDS satellites will work together to quickly locate your position and adjust altitude, even through interference outdoors. It ensures that wherever you are, you can rely on the watch to precisely know your location
COROS UltraSync Technology cuts your average mobile app sync time in half after your workout. So long are the days you have to spend minutes holding your phone, waiting for the data to upload.
Have a desire to use different sensors? With full ANT+ connectivity, you can connect ANT+ compatible devices such as a chest strap heart rate monitor, speed and cadence sensors, or a power meter to use with the Indoor Cycling activity.
Introducing COROS' very own, Intelligent Stride Algorithm. This unique algorithm embodies machine learning at its core to record your personal range of motion while running. This will build your very own stride model that will be used for indoor running or areas of weak GPS signal (such as tunnels).