Sculptor MF16LQ vs SHARP/NEC SHARP/NEC PA322UHD
SHARP/NEC SHARP/NEC PA322UHD — Pick the SHARP/NEC SHARP/NEC PA322UHD — it leads these groups: Display 1
Tap a group name to see the proof · The scoring method is public
The short answer
SHARP/NEC SHARP/NEC PA322UHD wins this comparison with a score of 59/100, ahead of Sculptor MF16LQ (58).
The main differences: Screen size (16 in vs 31.5 in) · Resolution (2560x1600 vs 3840x2160) · Panel type (IPS vs IGZO-IPS).
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
| Sculptor MF16LQ | SHARP/NEC SHARP/NEC PA322UHD | |
|---|---|---|
| Display | 32 | 44 |
| Ergonomics | 86 | 69 |
How to choose
Pick the SHARP/NEC SHARP/NEC PA322UHD if you care about…
- Screen size 31.5 in +15.5 in vs 16 in
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Sculptor MF16LQ | SHARP/NEC SHARP/NEC PA322UHD | Where they differ | |
|---|---|---|---|
| Screen size | 16 in | 31.5 in | SHARP/NEC SHARP/NEC PA322UHD |
| Resolution | 2560x1600 | 3840x2160 | Depends |
| Panel type | IPS | IGZO-IPS | Depends |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| Sculptor MF16LQ | SHARP/NEC SHARP/NEC PA322UHD | |
|---|---|---|
| Screen size | 16 in | 31.5 in |
| Resolution | 2560x1600 | 3840x2160 |
| Max refresh rate | 60 Hz | — |
| Panel type | IPS | IGZO-IPS |
Ergonomics1▾
| Sculptor MF16LQ | SHARP/NEC SHARP/NEC PA322UHD | |
|---|---|---|
| Weight (with stand) | — | 20500 g |
FAQ
Which is better, Sculptor MF16LQ or SHARP/NEC SHARP/NEC PA322UHD?
SHARP/NEC SHARP/NEC PA322UHD edges ahead 59 to 58 and leads in Display.
What are the main differences?
The main differences: Screen size (16 in vs 31.5 in) · Resolution (2560x1600 vs 3840x2160) · Panel type (IPS vs IGZO-IPS).
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.