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Framework Laptop 16

16" IPS · 2560× 1600 · 189 PPI

Optimal Viewing Distance

46cm

Retina distance: 46.3cm / 18.2in

Too Close
< 14cm
Perfect Zone
46cm
Good Zone
69cm
Acceptable Zone
1.2m
Too Far
1.9m
46cm Perfect Zone

Retina quality — pixels are invisible at this distance.

69cm Good Zone

Sharp image — slightly past the ideal distance but still excellent.

1.2m Acceptable Zone

The screen appears smaller — you're starting to miss fine details.

1.9m Too Far

You're not using your screen's full resolution. Move closer.

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Specifications

Framework Laptop 16 specifications
Brand Framework
Model Laptop 16
Screen Size 16"
Resolution 2560×1600
Panel IPS
Refresh Rate 165 Hz
Variable Refresh Rate (VRR) FreeSync
Response Time 9 ms GTG
HDR Certification None
SDR Brightness 500 nits
HDR Peak Brightness 600 nits
Contrast Ratio 1:1,500
Ports USB-C
USB-C Power Delivery 180 W
Color Gamut sRGB 100% · DCI-P3 97% · Adobe RGB 86%
Viewing Angle 178° — Excellent
Pixel Density (PPI) 189
Aspect Ratio 16:10
Year 2024

Category Ranking

Pixel Density (PPI) #16 / 18in category
189 PPI189 PPI261 PPI
HDR Peak Brightness #7 / 18in category
500 nits600 nits1600 nits
DCI-P3 Color Gamut #16 / 17in category
97%97%100%
Refresh Rate165 Hz
StandardHighUltra

Frequently Asked Questions

What is the optimal viewing distance for the Framework Laptop 16?
The optimal viewing distance for the Framework Laptop 16 (16") is approximately 46cm. At this distance, individual pixels become invisible to the human eye.
What is the PPI of the Framework Laptop 16?
The Framework Laptop 16 has a pixel density of 189 PPI (pixels per inch) with a 2560×1600 resolution on a 16" display.
Is the Framework Laptop 16 good for portable computing?
With 189 PPI and a 16" IPS display, the Framework Laptop 16 is very good for portable computing when viewed from the recommended distance of 46cm.

Methodology & Sources

Formula: Retina distance (cm) = 3438 / PPI. Displayed values are rounded for readability.

Sources: Official manufacturer spec sheets and product pages. Specs are normalized before comparisons.

Last updated:

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