明基EW2440ZC 明基EW2440ZC vs FFALCON 27U8A
FFALCON 27U8A — Pick the FFALCON 27U8A — it leads these groups: Display 1
Tap a group name to see the proof · The scoring method is public
The short answer
FFALCON 27U8A wins this comparison with a score of 61.0/100, ahead of 明基EW2440ZC 明基EW2440ZC (60.8).
The main differences: Screen size (24 in vs 27 in) · Resolution (1920x1080 vs 3840*1260) · Panel type (MVA vs Fast-IPS).
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
| 明基EW2440ZC 明基EW2440ZC | FFALCON 27U8A | |
|---|---|---|
| Display | 39 | 42 |
| Ergonomics | 87 | 84 |
How to choose
Pick the 明基EW2440ZC 明基EW2440ZC if you care about…
- Weight (with stand) 3700 g +2510 g vs 6210 g
Pick the FFALCON 27U8A if you care about…
- Screen size 27 in +3 in vs 24 in
Best price now
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| 明基EW2440ZC 明基EW2440ZC | FFALCON 27U8A | Where they differ | |
|---|---|---|---|
| Screen size | 24 in | 27 in | FFALCON 27U8A |
| Resolution | 1920x1080 | 3840*1260 | Depends |
| Panel type | MVA | Fast-IPS | Depends |
| Weight (with stand) | 3700 g | 6210 g | 明基EW2440ZC 明基EW2440ZC |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| 明基EW2440ZC 明基EW2440ZC | FFALCON 27U8A | |
|---|---|---|
| Screen size | 24 in | 27 in |
| Resolution | 1920x1080 | 3840*1260 |
| Max refresh rate | — | 160 Hz |
| Panel type | MVA | Fast-IPS |
Ergonomics1▾
| 明基EW2440ZC 明基EW2440ZC | FFALCON 27U8A | |
|---|---|---|
| Weight (with stand) | 3700 g | 6210 g |
FAQ
Which is better, 明基EW2440ZC 明基EW2440ZC or FFALCON 27U8A?
FFALCON 27U8A edges ahead 61 to 61 and leads in Display. Choose 明基EW2440ZC 明基EW2440ZC instead if Weight (with stand) matters more to you.
What are the main differences?
The main differences: Screen size (24 in vs 27 in) · Resolution (1920x1080 vs 3840*1260) · Panel type (MVA vs Fast-IPS).
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.