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Samsung S24D300H vs Samsung S24E360HL

🏆 Settled

Samsung S24D300H — Pick the Samsung S24D300H — it leads these groups: Display 1 Ergonomics 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 57/100, ahead of Samsung S24E360HL (55).

The main differences: Screen size (24 in vs 23.6 in) · Panel type (TN vs PLS) · Weight (with stand) (3150 g vs 5310 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.

🏆 Overall winner Samsung S24D300H

Samsung S24D300H

Samsung
57score / 100
2 wins · 0 tied ZOL Users ★ 4.3 (67)
Samsung S24E360HL

Samsung S24E360HL

Samsung
55score / 100
0 wins · 2 tied ZOL Users ★ 4.6 (394)

At a glance

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

Samsung S24D300HSamsung S24E360HL
Display 36 31
Ergonomics 89 87

How to choose

Pick the Samsung S24D300H if you care about…

  • Screen size 24 in +0.4 in vs 23.6 in
  • Weight (with stand) 3150 g +2160 g vs 5310 g

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Where they differ

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

Samsung S24D300HSamsung S24E360HLWhere they differ
Screen size 24 in23.6 in Samsung S24D300H
Panel type TNPLS Depends
Weight (with stand) 3150 g5310 g Samsung S24D300H

The record

Grouped and collapsible · Tap a group to fold

Display3▾
Samsung S24D300HSamsung S24E360HL
Screen size 24 in 23.6 in
Resolution 1920x1080 1920x1080
Panel type TN PLS
Ergonomics1▾
Samsung S24D300HSamsung S24E360HL
Weight (with stand) 3150 g 5310 g

Data sources: GSMArena

FAQ

Which is better, Samsung S24D300H or Samsung S24E360HL?

Samsung S24D300H edges ahead 57 to 55 and leads in Display, Ergonomics.

What are the main differences?

The main differences: Screen size (24 in vs 23.6 in) · Panel type (TN vs PLS) · Weight (with stand) (3150 g vs 5310 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.