The objective of this study was to document the milking efficiency of a sample of Irish dairy farms and to understand the effects of (1) seasonality, (2) management practices, (3) parlor infrastructure and (4) parlor automations on milking efficiency metrics. A novel methodology based on empirical data from video-cameras, infrastructure surveys and milk yield data allowed for the accurate computation of milking efficiency metrics and quantification of the effects of seasonality, number of operators and parlor automations on milking efficiency across 2 parlor types. The data for this study were collected over 2 periods: period 1 (28/07/2020 - 23/10/2020, peak-late production) and period 2 (12/04/2021 - 19/05/2021, early-peak production) from a sample of 16 herringbone and 10 rotary commercial Irish dairy farms. Milking efficiency was evaluated on each farm using 3 KPIs; 1) cows milked per hour (cows/h), 2) cows milked per operator per hour (cows/op/h) and 3) liters of milk harvested per hour (L/h). Milking efficiency KPIs were calculated using 'total process time', defined as the time between the first cow entering the holding yard and the end of the cleaning process. Average herd size for herringbone and rotary farms was 180 and 425 cows, respectively. Average system size for herringbone and rotary farms was 20 and 50 clusters, respectively. For herringbone farms, the average milking efficiency was 94 cows/h, 73 cows/op/h and 1,012 L/h, whereas rotary farms achieved an average milking efficiency of 170 cows/h, 132 cows/op/h and 1,534 L/h. Parlor size was strongly correlated with milking efficiency (cows/h) for herringbone parlors (0.91) but was only moderately correlated for rotary parlors (0.50). Hence, we documented the effect of parlor size on milking efficiency is relative to parlor type. Cluster utilization values on herringbone farms were 5 cows/cluster/h, 4 cows/cluster/op/h and 51 L/cluster/h which were 67%, 33%, and 65% greater than rotary farms, respectively. We found for both herringbone and rotary farms hourly cow throughput (cows/h, cows/op/h) were greatest during period 1 and that the volume of milk harvested per hour (L/h) was greatest for period 2. Thus, we documented an inverse seasonal relationship between hourly rates of cows milked and milk harvested. We observed that for herringbone farms, milking efficiency (cows/h, L/h) had a strong positive correlation (0.75, 0.74) with the levels of automation use. However, the minimal variation in automations used among rotary farms made it difficult to evaluate their impact on milking efficiency. Similarly, we found that the impact of automations on milking efficiency was dependent on parlor type. On average, a second operator at milking for both herringbone and rotary farms increased values for cows/h (+19% - H, + 34% - R) and L/h (+21% - H, +12% - R) but lowered values for cows/op/h (-35% - H, -12% - R). The holistic methodology applied in this study allowed us to add novel data to the literature by quantifying the effects of seasonality, the number of operators present at milking and parlor automation use on milking efficiency across 2 parlor types.