The power function is
$$\begin{align}\pi(\theta)&=\mathbb{P}_\theta(C)\\
&=\mathbb{P}_\theta\left(X_1X_2\ge\frac{3}{4}\right)\\
&=1-\mathbb{P}_\theta\left(X_1X_2<\frac{3}{4}\right).\\
\end{align}$$
Now
$$\begin{align}\mathbb{P}_\theta\left(X_1X_2<\frac{3}{4}\right)&=\int_0^1{\mathbb{P}_\theta\left(X_1<\frac{3}{4x_2}\,\Bigg|\, X_2=x_2\right)\,f_\theta(x_2)\,dx_2}\\
&=\int_0^1\mathbb{P}_\theta\left(X_1<\frac{3}{4x_2}\right)\,f_\theta(x_2)\,dx_2\ \ \text{ (because }X_1,X_2\text{ are independent})\\
&=\int_0^1F_\theta\left(\frac{3}{4x_2}\right)\,f_\theta(x_2)\,dx_2
\end{align}$$
where $F_\theta$ is the CDF of $X$, found by integrating the density function $$f_\theta(x) = \theta x^{\theta-1}[0<x<1],$$
i.e.,
$$\begin{align}F_\theta(x)&=\mathbb{P}_\theta(X\le x)\\ \\
&= \int_{-\infty}^x f_\theta(x')\,dx'\\ \\
&=
\begin{cases}
0, & \text{if }x\le 0 \\
x^\theta, & \text{if } 0<x<1\\
1, & \text{if }x\ge 1
\end{cases}\\ \\
&=x^\theta[0<x<1]+1[x\ge 1].\end{align} $$
(For convenience, I'm using Iverson brackets for the indicator functions.)
Thus,
$$\begin{align}\mathbb{P}_\theta\left(X_1X_2<\frac{3}{4}\right)&=\int_0^1F_\theta\left(\frac{3}{4x}\right)\,f_\theta(x)\,dx\\
&=\int_0^1\left\{ \left(\frac{3}{4x}\right)^\theta\left[0<\frac{3}{4x}<1\right]\ \ +\ \ 1\left[\frac{3}{4x}\ge 1\right]\right\}\,\theta x^{\theta-1}\bigg[0<x<1\bigg]\, dx\\
&=\theta\left(\frac{3}{4}\right)^\theta\int_0^1 x^{-1}\left[0<\frac{3}{4x}<1\right]\bigg[0<x<1\bigg]\,dx\ \ \\
&\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad +\ \ \theta \int_0^1x^{\theta-1}\left[\frac{3}{4x}\ge 1\right]\bigg[0<x<1\bigg]\,\, dx\\
&=\theta\left(\frac{3}{4}\right)^\theta\int_{\frac{3}{4}}^1 x^{-1}dx \ + \ \theta\int_0^{\frac{3}{4}}x^{\theta-1}dx\\
&=\theta\left(\frac{3}{4}\right)^\theta\log\frac{4}{3}\ + \ \left(\frac{3}{4}\right)^\theta\\
&=\left(\frac{3}{4}\right)^\theta(\theta\log\frac{4}{3}+1).
\end{align}$$
So the power function is
$$\pi(\theta) = 1 - \left(\frac{3}{4}\right)^\theta(\theta\log\frac{4}{3}+1).
$$
Here's a plot:
