32 entries may sound small by modern standards (current x86 processors have thousands of TLB entries), but it covers 128 KB of memory -- enough for the working set of most 1980s programs. A TLB miss is not catastrophic either; the hardware page walker handles it transparently in about 20 cycles.
The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.
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