Dell UltraSharp UP3017 vs ViewSonic VA2462-4K-HD
ViewSonic VA2462-4K-HD — Pick the ViewSonic VA2462-4K-HD — it leads these groups: Ergonomics 1
Tap a group name to see the proof · The scoring method is public
The short answer
ViewSonic VA2462-4K-HD wins this comparison with a score of 58/100, ahead of Dell UltraSharp UP3017 (53).
The main differences: Resolution (2560x1600 vs 3840x2160) · Weight (with stand) (6500 g vs 3400 g).
Scores are computed from 8 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
| Dell UltraSharp UP3017 | ViewSonic VA2462-4K-HD | |
|---|---|---|
| Display | 27 | 40 |
| Ergonomics | 86 | 89 |
How to choose
Pick the ViewSonic VA2462-4K-HD if you care about…
- Weight (with stand) 3400 g +3100 g vs 6500 g
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| Dell UltraSharp UP3017 | ViewSonic VA2462-4K-HD | Where they differ | |
|---|---|---|---|
| Resolution | 2560x1600 | 3840x2160 | Depends |
| Weight (with stand) | 6500 g | 3400 g | ViewSonic VA2462-4K-HD |
The record
Grouped and collapsible · Tap a group to fold
Display7▾
| Dell UltraSharp UP3017 | ViewSonic VA2462-4K-HD | |
|---|---|---|
| Screen size | 30 in | — |
| Resolution | 2560x1600 | 3840x2160 |
| Max refresh rate | 60 Hz | 60 Hz |
| Response time | 8 ms | — |
| Brightness | 250 cd/m² | — |
| Panel type | — | IPS |
| sRGB coverage | 100 % | — |
Ergonomics1▾
| Dell UltraSharp UP3017 | ViewSonic VA2462-4K-HD | |
|---|---|---|
| Weight (with stand) | 6500 g | 3400 g |
Data sources: Amazon · GSMArena
FAQ
Which is better, Dell UltraSharp UP3017 or ViewSonic VA2462-4K-HD?
ViewSonic VA2462-4K-HD has the higher overall score (58 vs 53) and leads in Ergonomics.
What are the main differences?
The main differences: Resolution (2560x1600 vs 3840x2160) · Weight (with stand) (6500 g vs 3400 g).
How are the scores calculated?
We normalize 8 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.