Two Scalers, One Value

A single numeric feature is measured across a training set. Over that training set the feature has

$\mu = 50, \qquad \sigma = 12, \qquad x_{min} = 20, \qquad x_{max} = 80$

You fit two scalers on this training set: a Z-score standardizer

$z = \frac{x - \mu}{\sigma}$

and a Min-Max scaler that maps the feature onto $[0, 1]$

$x' = \frac{x - x_{min}}{x_{max} - x_{min}}$

One training row has the raw value $x = 68$.

What does each fitted scaler output for this row?