What is the battery endurance of the Xiaomi Smart Band 9 Pro?
The battery endurance modes of the Xiaomi Smart Band 9 Pro are listed below:
1. Typical AOD endurance mode for 10 days: After the battery is fully charged, use the static band display, restore the band to factory setting, configure the AOD as smartly enabling, and disable [Advanced monitoring] and [Breathing rate] in sleep settings and [All-day monitoring] in stress settings. Configure [Continuous monitoring] as [30 mins] in heart rate, enable notifications (100 message notifications, 10 incoming calls and 3 alarms every day), enable data synchronization with APP once a day, manually measure the blood oxygen twice a day and enable workout records of 60 minutes every week;
2. Typical endurance mode for 21 days: After the battery is fully charged, use the static band display, restore the band to factory setting, and disable [Advanced monitoring] and [Breathing rate] in sleep settings and [All-day monitoring] in stress settings. Configure [Continuous monitoring] as [30 mins] in heart rate, enable notifications (100 message notifications, 10 incoming calls and 3 alarms every day), raise your arm to wake the band 200 times every day, enable data synchronization with APP once a day, manually measure the blood oxygen twice a day and enable workout records of 60 minutes every week;
3. Heavy-load mode for 8 days: After the battery is fully charged, use the static band display, restore the band to factory setting, enable [Advanced monitoring] and [Breathing rate] in sleep settings, configure the automatic heart rate monitoring 960 times a day (1 minute each time, 16 hours, the remaining 8 hours are in sleep), receive 200 notification pushes and 15 incoming calls a day, vibrate for 30 seconds every time, raise your arm to wake the band 500 times every day (5 seconds each time), manually measure the blood oxygen twice a day, have a workout of 90 minutes every week (GNSS mode), and configure the alarm as 3 times a day (30 seconds each time).
Note:
In actual use, battery endurance depends on various factors such as settings, operations and usage environment, and differ from laboratory data.
1. Typical AOD endurance mode for 10 days: After the battery is fully charged, use the static band display, restore the band to factory setting, configure the AOD as smartly enabling, and disable [Advanced monitoring] and [Breathing rate] in sleep settings and [All-day monitoring] in stress settings. Configure [Continuous monitoring] as [30 mins] in heart rate, enable notifications (100 message notifications, 10 incoming calls and 3 alarms every day), enable data synchronization with APP once a day, manually measure the blood oxygen twice a day and enable workout records of 60 minutes every week;
2. Typical endurance mode for 21 days: After the battery is fully charged, use the static band display, restore the band to factory setting, and disable [Advanced monitoring] and [Breathing rate] in sleep settings and [All-day monitoring] in stress settings. Configure [Continuous monitoring] as [30 mins] in heart rate, enable notifications (100 message notifications, 10 incoming calls and 3 alarms every day), raise your arm to wake the band 200 times every day, enable data synchronization with APP once a day, manually measure the blood oxygen twice a day and enable workout records of 60 minutes every week;
3. Heavy-load mode for 8 days: After the battery is fully charged, use the static band display, restore the band to factory setting, enable [Advanced monitoring] and [Breathing rate] in sleep settings, configure the automatic heart rate monitoring 960 times a day (1 minute each time, 16 hours, the remaining 8 hours are in sleep), receive 200 notification pushes and 15 incoming calls a day, vibrate for 30 seconds every time, raise your arm to wake the band 500 times every day (5 seconds each time), manually measure the blood oxygen twice a day, have a workout of 90 minutes every week (GNSS mode), and configure the alarm as 3 times a day (30 seconds each time).
Note:
In actual use, battery endurance depends on various factors such as settings, operations and usage environment, and differ from laboratory data.
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