Philips 27E2N2100W vs Philips 27E2N5901RW
Philips 27E2N2100W — Pick the Philips 27E2N2100W — it leads these groups: Display 1 Ergonomics 1
Tap a group name to see the proof · The scoring method is public
The short answer
Philips 27E2N2100W wins this comparison with a score of 61.3/100, ahead of Philips 27E2N5901RW (60.7).
The main differences: Resolution (1920x1080 vs 3840x2160) · Max refresh rate (120 Hz vs 75 Hz) · Weight (with stand) (3220 g vs 4150 g).
Scores are computed from 5 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
| Philips 27E2N2100W | Philips 27E2N5901RW | |
|---|---|---|
| Display | 41 | 39 |
| Ergonomics | 87 | 86 |
How to choose
Pick the Philips 27E2N2100W if you care about…
- Max refresh rate 120 Hz +45 Hz vs 75 Hz
- Weight (with stand) 3220 g +930 g vs 4150 g
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Philips 27E2N2100W | Philips 27E2N5901RW | Where they differ | |
|---|---|---|---|
| Resolution | 1920x1080 | 3840x2160 | Depends |
| Max refresh rate | 120 Hz | 75 Hz | Philips 27E2N2100W |
| Weight (with stand) | 3220 g | 4150 g | Philips 27E2N2100W |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| Philips 27E2N2100W | Philips 27E2N5901RW | |
|---|---|---|
| Screen size | 27 in | 27 in |
| Resolution | 1920x1080 | 3840x2160 |
| Max refresh rate | 120 Hz | 75 Hz |
| Panel type | IPS | IPS |
Ergonomics1▾
| Philips 27E2N2100W | Philips 27E2N5901RW | |
|---|---|---|
| Weight (with stand) | 3220 g | 4150 g |
Data sources: GSMArena
FAQ
Which is better, Philips 27E2N2100W or Philips 27E2N5901RW?
Philips 27E2N2100W edges ahead 61 to 61 and leads in Display, Ergonomics.
What are the main differences?
The main differences: Resolution (1920x1080 vs 3840x2160) · Max refresh rate (120 Hz vs 75 Hz) · Weight (with stand) (3220 g vs 4150 g).
How are the scores calculated?
We normalize 5 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.