If the AUC score is 100 percent can F1 value be 99.94 percent? If the AUC score is 100 percent can the F1 value be 99.94 percent? I would expect 100 percent, too.

$AUC$ measures the separability of the probability outputs of your model. If the positive group's lowest probability of being positive is less than the negatives group's highest probability of being positive, then you will achieve $AUC=1$.
However, calculating $F_1$ requires you to apply a particular threshold (and only that threshold). Software usually picks that threshold to be a probability of $0.5$. The two groups need not be separable at $0.5$. It could be that every probability value (across both groups) exceeds $0.5$ or is lower than $0.5$.
Consequently, there should not be any expectation that threshold-based metrics be perfect when $AUC=1$.
If $=1$, then any threshold between the highest value for the negative group and the lowest value for the positive group results in classifying everything correctly, so all threshold-based metrics (at such a threshold) should be perfect (on the data set that generated the $=1$, not necessarily in general if you use additional data).
