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Dell 23 P2317H vs Dell 24 SE2416H

🏆 Settled

Dell 23 P2317H — Pick the Dell 23 P2317H — it leads these groups: Ergonomics 1

Tap a group name to see the proof · The scoring method is public

The short answer

Dell 23 P2317H wins this comparison with a score of 59/100, ahead of Dell 24 SE2416H (58).

The main differences: Screen size (23 in vs 23.8 in) · Weight (with stand) (3100 g vs 6200 g).

Scores are computed from 6 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

🏆 Overall winner Dell 23 P2317H

Dell 23 P2317H

Dell
59score / 100
1 win · 3 tied ZOL Users ★ 4.9 (47)
Dell 24 SE2416H

Dell 24 SE2416H

Dell
58score / 100
1 win · 3 tied ZOL Users ★ 4.4 (579)

At a glance

0–100 per group, normalized within the category · Tap a group for details

Dell 23 P2317HDell 24 SE2416H
Display 33 33
Ergonomics 87 84

How to choose

Pick the Dell 23 P2317H if you care about…

  • Weight (with stand) 3100 g +3100 g vs 6200 g

Pick the Dell 24 SE2416H if you care about…

  • Screen size 23.8 in +0.8 in vs 23 in

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Where they differ

2 · Only rows that actually differ, with a verdict per row

Dell 23 P2317HDell 24 SE2416HWhere they differ
Screen size 23 in23.8 in Dell 24 SE2416H
Weight (with stand) 3100 g6200 g Dell 23 P2317H

The record

Grouped and collapsible · Tap a group to fold

Display5▾
Dell 23 P2317HDell 24 SE2416H
Screen size 23 in 23.8 in
Resolution 1920x1080 1920x1080
Max refresh rate 60 Hz 60 Hz
Response time 6 ms 6 ms
Panel type IPS IPS
Ergonomics1▾
Dell 23 P2317HDell 24 SE2416H
Weight (with stand) 3100 g 6200 g

Data sources: Amazon · GSMArena

FAQ

Which is better, Dell 23 P2317H or Dell 24 SE2416H?

Dell 23 P2317H edges ahead 59 to 58 and leads in Ergonomics. Choose Dell 24 SE2416H instead if Screen size matters more to you.

What are the main differences?

The main differences: Screen size (23 in vs 23.8 in) · Weight (with stand) (3100 g vs 6200 g).

How are the scores calculated?

We normalize 6 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.