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Samsung S22F350FH vs Samsung S24D300H

🏆 Settled

Samsung S24D300H — Pick the Samsung S24D300H — it leads these groups: Display 1

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

The short answer

Samsung S24D300H wins this comparison with a score of 61/100, ahead of Samsung S22F350FH (60).

The main differences: Screen size (21.5 in vs 24 in) · Weight (with stand) (2800 g vs 3150 g).

Scores are computed from 4 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

Samsung S22F350FH

Samsung S22F350FH

Samsung
60score / 100
1 win · 1 tie ZOL Users ★ 4.5 (54)
🏆 Overall winner Samsung S24D300H

Samsung S24D300H

Samsung
61score / 100
1 win · 1 tie ZOL Users ★ 4.3 (67)

At a glance

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

Samsung S22F350FHSamsung S24D300H
Display 35 39
Ergonomics 88 87

How to choose

Pick the Samsung S22F350FH if you care about…

  • Weight (with stand) 2800 g +350 g vs 3150 g

Pick the Samsung S24D300H if you care about…

  • Screen size 24 in +2.5 in vs 21.5 in

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Where they differ

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

Samsung S22F350FHSamsung S24D300HWhere they differ
Screen size 21.5 in24 in Samsung S24D300H
Weight (with stand) 2800 g3150 g Samsung S22F350FH

The record

Grouped and collapsible · Tap a group to fold

Display3▾
Samsung S22F350FHSamsung S24D300H
Screen size 21.5 in 24 in
Resolution 1920x1080 1920x1080
Panel type TN TN
Ergonomics1▾
Samsung S22F350FHSamsung S24D300H
Weight (with stand) 2800 g 3150 g

Data sources: GSMArena

FAQ

Which is better, Samsung S22F350FH or Samsung S24D300H?

Samsung S24D300H edges ahead 61 to 60 and leads in Display. Choose Samsung S22F350FH instead if Weight (with stand) matters more to you.

What are the main differences?

The main differences: Screen size (21.5 in vs 24 in) · Weight (with stand) (2800 g vs 3150 g).

How are the scores calculated?

We normalize 4 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.