AOC Q34P2 vs AOC U24P10R
AOC Q34P2 — Pick the AOC Q34P2 — it leads these groups: Display 2
Tap a group name to see the proof · The scoring method is public
The short answer
AOC Q34P2 wins this comparison with a score of 56.3/100, ahead of AOC U24P10R (55.5).
The main differences: Screen size (34 in vs 23.8 in) · Resolution (2560x1080 vs 3840x2160) · Max refresh rate (75 Hz vs 60 Hz).
Scores are computed from 5 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| AOC Q34P2 | AOC U24P10R | |
|---|---|---|
| Display | 39 | 32 |
| Ergonomics | 82 | 90 |
How to choose
Pick the AOC Q34P2 if you care about…
- Screen size 34 in +10.2 in vs 23.8 in
- Max refresh rate 75 Hz +15 Hz vs 60 Hz
Pick the AOC U24P10R if you care about…
- Weight (with stand) 2790 g +6710 g vs 9500 g
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| AOC Q34P2 | AOC U24P10R | Where they differ | |
|---|---|---|---|
| Screen size | 34 in | 23.8 in | AOC Q34P2 |
| Resolution | 2560x1080 | 3840x2160 | Depends |
| Max refresh rate | 75 Hz | 60 Hz | AOC Q34P2 |
| Weight (with stand) | 9500 g | 2790 g | AOC U24P10R |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| AOC Q34P2 | AOC U24P10R | |
|---|---|---|
| Screen size | 34 in | 23.8 in |
| Resolution | 2560x1080 | 3840x2160 |
| Max refresh rate | 75 Hz | 60 Hz |
| Panel type | IPS | IPS |
Ergonomics1▾
| AOC Q34P2 | AOC U24P10R | |
|---|---|---|
| Weight (with stand) | 9500 g | 2790 g |
Data sources: GSMArena
FAQ
Which is better, AOC Q34P2 or AOC U24P10R?
AOC Q34P2 edges ahead 56 to 56 and leads in Display. Choose AOC U24P10R instead if Weight (with stand) matters more to you.
What are the main differences?
The main differences: Screen size (34 in vs 23.8 in) · Resolution (2560x1080 vs 3840x2160) · Max refresh rate (75 Hz vs 60 Hz).
How are the scores calculated?
We normalize 5 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.