fastR slower than GNU R

library('forecast')
data("AirPassengers")
time_func <- function() {
   startTime <- Sys.time()
   mymodel <- auto.arima(AirPassengers)
   myforecast <- forecast(mymodel, level=c(95), h=10*12)
   endTime <- Sys.time()
   print(endTime - startTime)
}

time_func()

GNU R takes 1 second VS fastR : 3.9 seconds, any pointers how this can be optimized?