DELL UltraSharp U2723QE vs EIZO ColorEdge CG243W
The short answer
EIZO ColorEdge CG243W wins this comparison with a score of 55/100, ahead of DELL UltraSharp U2723QE (35).
The main differences: Resolution (3840 x 2160 pixels vs 1920x1200).
Scores are computed from 17 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
| DELL UltraSharp U2723QE | EIZO ColorEdge CG243W | |
|---|---|---|
| Display | 27 | 32 |
| Performance | 0 | 78 |
| Connectivity | 39 | 29 |
| Ergonomics | 87 | 88 |
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Where they differ
1 · Only rows that actually differ, with a verdict per row
| DELL UltraSharp U2723QE | EIZO ColorEdge CG243W | Where they differ | |
|---|---|---|---|
| Resolution | 3840 x 2160 pixels | 1920x1200 | Depends |
The record
Grouped and collapsible · Tap a group to fold
Display8▾
| DELL UltraSharp U2723QE | EIZO ColorEdge CG243W | |
|---|---|---|
| Screen size | 27 in | — |
| Resolution | 3840 x 2160 pixels | 1920x1200 |
| Max refresh rate | 60 Hz | — |
| Response time | 8 ms | — |
| Brightness | 400 cd/m² | — |
| Panel type | IPS | IPS |
| sRGB coverage | 100 % | — |
| HDR support | ✓ | — |
Performance2▾
| DELL UltraSharp U2723QE | EIZO ColorEdge CG243W | |
|---|---|---|
| AMD FreeSync | — | — |
| VESA Adaptive Sync | — | — |
Connectivity3▾
| DELL UltraSharp U2723QE | EIZO ColorEdge CG243W | |
|---|---|---|
| HDMI ports | 1 | — |
| DisplayPort ports | 2 | — |
| Built-in speakers | — | — |
Ergonomics4▾
| DELL UltraSharp U2723QE | EIZO ColorEdge CG243W | |
|---|---|---|
| Height adjustment | ✓ | — |
| VESA mounting | ✓ | — |
| Weight (with stand) | 6270 g | — |
| Energy per 1000 h | 26 kWh | — |
Data sources: GSMArena · Icecat
FAQ
Which is better, DELL UltraSharp U2723QE or EIZO ColorEdge CG243W?
EIZO ColorEdge CG243W has the higher overall score (55 vs 35).
What are the main differences?
The main differences: Resolution (3840 x 2160 pixels vs 1920x1200).
How are the scores calculated?
We normalize 17 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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