易美逊P2790DI 易美逊P2790DI vs Philips 241V8
易美逊P2790DI 易美逊P2790DI — Pick the 易美逊P2790DI 易美逊P2790DI — it leads these groups: Display 1
Tap a group name to see the proof · The scoring method is public
The short answer
易美逊P2790DI 易美逊P2790DI wins this comparison with a score of 60.0/100, ahead of Philips 241V8 (59.9).
The main differences: Screen size (27 in vs 23.8 in) · Weight (with stand) (5100 g vs 3060 g).
Scores are computed from 7 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
| 易美逊P2790DI 易美逊P2790DI | Philips 241V8 | |
|---|---|---|
| Display | 38 | 36 |
| Ergonomics | 85 | 87 |
How to choose
Pick the 易美逊P2790DI 易美逊P2790DI if you care about…
- Screen size 27 in +3.2 in vs 23.8 in
Pick the Philips 241V8 if you care about…
- Weight (with stand) 3060 g +2040 g vs 5100 g
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| 易美逊P2790DI 易美逊P2790DI | Philips 241V8 | Where they differ | |
|---|---|---|---|
| Screen size | 27 in | 23.8 in | 易美逊P2790DI 易美逊P2790DI |
| Weight (with stand) | 5100 g | 3060 g | Philips 241V8 |
The record
Grouped and collapsible · Tap a group to fold
Display6▾
| 易美逊P2790DI 易美逊P2790DI | Philips 241V8 | |
|---|---|---|
| Screen size | 27 in | 23.8 in |
| Resolution | 1920x1080 | 1920x1080 |
| Max refresh rate | — | 75 Hz |
| Response time | — | 4 ms |
| Brightness | — | 250 cd/m² |
| Panel type | IPS | IPS |
Ergonomics1▾
| 易美逊P2790DI 易美逊P2790DI | Philips 241V8 | |
|---|---|---|
| Weight (with stand) | 5100 g | 3060 g |
Data sources: Amazon · GSMArena · ZOL
FAQ
Which is better, 易美逊P2790DI 易美逊P2790DI or Philips 241V8?
易美逊P2790DI 易美逊P2790DI edges ahead 60 to 60 and leads in Display. Choose Philips 241V8 instead if Weight (with stand) matters more to you.
What are the main differences?
The main differences: Screen size (27 in vs 23.8 in) · Weight (with stand) (5100 g vs 3060 g).
How are the scores calculated?
We normalize 7 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.
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