With the increase in applications of inkjet functional printing in recent years, the higher throughput associated with multiple nozzle arrays is necessary for large scale production. This provides the motivation for designing print masks that can maximize the quality of inkjet printed devices rather than minimize the number of print artifacts detectable by the human eye. The current study builds upon earlier work by introduing a new drop coalescence cost function and by measuring the performance of print masks resulting from the Print Mask Direct Binary Search via image quality metrics including image mottle, raggedness, and fill. Three print masks of differing expected quality are generated and used to print rectangular solid fills. Overall, the results from the printed samples are in agreement with the expected performance of each of the three print masks. Discrepencies from image size and image variability show limitations in the current study. Future work will involve measuring the performance of the print mask by measuring the performance of the device.