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Aya Neo Geek 1S vs Aya Neo Konkr Fit

🏆 Settled

Aya Neo Konkr Fit — Pick the Aya Neo Konkr Fit — it leads these groups: Display 1 Features 1

Tap a group name to see the proof · The scoring method is public

The short answer

Aya Neo Konkr Fit wins this comparison with a score of 70/100, ahead of Aya Neo Geek 1S (34).

The main differences: Output refresh (60 Hz vs 144 Hz) · Ray tracing (— vs ✓).

Scores are computed from 8 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

Aya Neo Geek 1S

Aya Neo Geek 1S

Aya
34score / 100
0 wins · 8 tied
🏆 Overall winner Aya Neo Konkr Fit

Aya Neo Konkr Fit

Aya
70score / 100
2 wins · 6 tied

At a glance

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

Aya Neo Geek 1SAya Neo Konkr Fit
Performance 41 41
Memory 47 47
Display 0 100
Features 45 100

How to choose

Pick the Aya Neo Konkr Fit if you care about…

  • Output refresh 144 Hz +84 Hz vs 60 Hz
  • Ray tracing ✓ vs —

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Where they differ

2 · Only rows that actually differ, with a verdict per row

Aya Neo Geek 1SAya Neo Konkr FitWhere they differ
Output refresh 60 Hz144 Hz Aya Neo Konkr Fit
Ray tracing —✓ Aya Neo Konkr Fit

The record

Grouped and collapsible · Tap a group to fold

Performance4▾
Aya Neo Geek 1SAya Neo Konkr Fit
CPU cores 8 —
Base clock 3.3 GHz —
GPU performance 4.1 TFLOPS —
Shader units 768 —
Memory1▾
Aya Neo Geek 1SAya Neo Konkr Fit
RAM 32 GB 32 GB
Display1▾
Aya Neo Geek 1SAya Neo Konkr Fit
Output refresh 60 Hz 144 Hz
Features2▾
Aya Neo Geek 1SAya Neo Konkr Fit
Ray tracing — ✓
NVMe storage ✓ ✓

Data sources: GSMArena

FAQ

Which is better, Aya Neo Geek 1S or Aya Neo Konkr Fit?

Aya Neo Konkr Fit has the higher overall score (70 vs 34) and leads in Display, Features.

What are the main differences?

The main differences: Output refresh (60 Hz vs 144 Hz) · Ray tracing (— vs ✓).

How are the scores calculated?

We normalize 8 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.