PERF: IntervalArray.from_tuples
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/v2.0.0.rst` file if fixing a bug or adding a new feature.

```
from asv_bench.benchmarks.array import IntervalArray

b = IntervalArray()
b.setup()

%timeit b.time_from_tuples()

22.7 ms ± 1.35 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)  -> main
3.32 ms ± 268 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)  -> PR
```
thx @lukemanley 