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Honor Choice VZ Sport Mate Pro vs HyperX 3D Headset Plate Civilization VII

The short answer

Honor Choice VZ Sport Mate Pro wins this comparison with a score of 78/100, ahead of HyperX 3D Headset Plate Civilization VII (68).

Scores are computed from 15 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

🏆 Overall winner

Honor Choice VZ Sport Mate Pro

Honor
78score / 100
0 wins · 15 tied
HyperX 3D Headset Plate Civilization VII

HyperX 3D Headset Plate Civilization VII

HyperX
68score / 100
0 wins · 15 tied

At a glance

0–100 per group, normalized within the category · Tap a group for details

Honor Choice VZ Sport Mate ProHyperX 3D Headset Plate Civilization VII
Design 96 56
Features 100 100
Battery 56 48
Audio 57 59
Connectivity 86 84

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The record

Grouped and collapsible · Tap a group to fold

Design3▾
Honor Choice VZ Sport Mate ProHyperX 3D Headset Plate Civilization VII
Weight 190 g —
Sweat/water resistance ✓ —
Foldable design ✓ —
Features2▾
Honor Choice VZ Sport Mate ProHyperX 3D Headset Plate Civilization VII
Active noise cancellation ✓ —
Built-in microphone ✓ —
Battery2▾
Honor Choice VZ Sport Mate ProHyperX 3D Headset Plate Civilization VII
Battery life 80 h —
Charge time 2 h —
Audio5▾
Honor Choice VZ Sport Mate ProHyperX 3D Headset Plate Civilization VII
Driver unit 40 mm —
Impedance 32 Ω —
Lowest frequency 20 Hz —
Highest frequency 20000 Hz —
LDAC ✓ —
Connectivity3▾
Honor Choice VZ Sport Mate ProHyperX 3D Headset Plate Civilization VII
Bluetooth version 5.4 —
Multipoint connection ✓ —
USB-C charging ✓ —

Data sources: GSMArena

FAQ

Which is better, Honor Choice VZ Sport Mate Pro or HyperX 3D Headset Plate Civilization VII?

Honor Choice VZ Sport Mate Pro has the higher overall score (78 vs 68).

What are the main differences?

Scores are computed from 15 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

How are the scores calculated?

We normalize 15 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.