Background. Inertial sensors within smartphones present a cost-effective and practical option for balance assessment. However, it is crucial to ensure that the extracted parameter is informative about postural control. In this study, we aimed to investigate the smartphone's ability to differentiate between various levels of difficulty in balance tasks and assess the reliability of these measurements. Methods. In two days, fifteen participants performed five static balance tasks. Acceleration data was collected from a smartphone during each balance task, and the root mean square value was computed from the magnitude of acceleration to obtain a representative measure of body oscillations. Results. ANOVA revealed a significant effect (p < 0.001), and subsequent pairwise comparisons indicated significant differences between tasks based on their difficulty levels. All measures exhibited good-to-excellent intraclass coefficient correlation (> 0.6), with only the semi-tandem task with eyes closed showing a coefficient of variation greater than 10%.Conclusions. These findings suggest that smartphones offer a sensitive and reliable means of assessing postural balance in static tasks of varying difficulty. Given the widespread accessibility of smartphones, they hold immense value as tools for large-scale balance screening and monitoring in clinical settings.