Remote photoplethysmography has emerged as a promising technology for non-invasive and continuous estimation of vital signs, such as heart rate, breath rate and blood oxygen saturation. This study evaluated the performance and perceived usability of a remote photoplethysmography-based computational pipeline implemented on four consumer smartphones. The devices tested, Samsung Galaxy A35, Samsung Galaxy S23 +, HUAWEI Mate 50 Pro and Google Pixel 7, were evaluated under controlled conditions to assess their accuracy in vital signs estimation. Performance metrics were used to compare the results of the remote photoplethysmography estimations with reference measurements from medical-grade devices. The Samsung Galaxy A35 demonstrated the best performance among the smartphones assessed. Additionally, usability was evaluated using the System Usability Scale and the short version of the User Experience Questionnaire, yielding high scores indicative of a positive user experience. These findings suggest that remote photoplethysmography technology can be effectively deployed on consumer smartphones, offering a cost-effective and accessible solution for remote health monitoring. This study underscores the importance of camera sensor specifications in achieving accurate vital signs estimation and highlights the potential of smartphone-based remote photoplethysmography systems for widespread telemedicine applications.