Aya Neo Flip DS vs Aya Neo Flip KB
Aya Neo Flip DS — Pick the Aya Neo Flip DS — it leads these groups: Performance 1
Tap a group name to see the proof · The scoring method is public
The short answer
Aya Neo Flip DS wins this comparison with a score of 78/100, ahead of Aya Neo Flip KB (77).
The main differences: Memory bandwidth (102.4 GB/s vs 67.2 GB/s).
Scores are computed from 9 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
| Aya Neo Flip DS | Aya Neo Flip KB | |
|---|---|---|
| Performance | 43 | 40 |
| Memory | 100 | 100 |
| Display | 71 | 71 |
| Features | 100 | 100 |
How to choose
Pick the Aya Neo Flip DS if you care about…
- Memory bandwidth 102.4 GB/s +35.2 GB/s vs 67.2 GB/s
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Where they differ
1 · Only rows that actually differ, with a verdict per row
| Aya Neo Flip DS | Aya Neo Flip KB | Where they differ | |
|---|---|---|---|
| Memory bandwidth | 102.4 GB/s | 67.2 GB/s | Aya Neo Flip DS |
The record
Grouped and collapsible · Tap a group to fold
Performance5▾
| Aya Neo Flip DS | Aya Neo Flip KB | |
|---|---|---|
| CPU cores | 8 | 8 |
| Base clock | 3.3 GHz | 3.3 GHz |
| GPU performance | 4.1 TFLOPS | 4.1 TFLOPS |
| Shader units | 768 | 768 |
| Memory bandwidth | 102.4 GB/s | 67.2 GB/s |
Memory1▾
| Aya Neo Flip DS | Aya Neo Flip KB | |
|---|---|---|
| RAM | 64 GB | 64 GB |
Display1▾
| Aya Neo Flip DS | Aya Neo Flip KB | |
|---|---|---|
| Output refresh | 120 Hz | 120 Hz |
Features2▾
| Aya Neo Flip DS | Aya Neo Flip KB | |
|---|---|---|
| Ray tracing | ✓ | ✓ |
| NVMe storage | ✓ | ✓ |
Data sources: GSMArena
FAQ
Which is better, Aya Neo Flip DS or Aya Neo Flip KB?
Aya Neo Flip DS edges ahead 78 to 77 and leads in Performance.
What are the main differences?
The main differences: Memory bandwidth (102.4 GB/s vs 67.2 GB/s).
How are the scores calculated?
We normalize 9 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.