ADATA Adata XPG Gammix D10 DDR4-3200 CL16 vs ADATA Adata XPG Gammix D20 DDR4-3200 CL16
ADATA Adata XPG Gammix D10 DDR4-3200 CL16 — Pick the ADATA Adata XPG Gammix D10 DDR4-3200 CL16 — it leads these groups: Specs 1
Tap a group name to see the proof · The scoring method is public
The short answer
ADATA Adata XPG Gammix D10 DDR4-3200 CL16 wins this comparison with a score of 44/100, ahead of ADATA Adata XPG Gammix D20 DDR4-3200 CL16 (40).
The main differences: Voltage (1.2 V vs 1.4 V).
Scores are computed from 4 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
How to choose
Pick the ADATA Adata XPG Gammix D10 DDR4-3200 CL16 if you care about…
- Voltage 1.2 V +0.2 V vs 1.4 V
Best price now
Cheap alternatives
Samsung 2×8GB DDR4 3200
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Corsair 16GB DDR4 3600 CM4X16GC3600C18K2D-CN
Corsair 16GB DDR5 5200
ADATA XPG D500G DDR5 7200 64GB 32GBx2
Where they differ
1 · Only rows that actually differ, with a verdict per row
| ADATA Adata XPG Gammix D10 DDR4-3200 CL16 | ADATA Adata XPG Gammix D20 DDR4-3200 CL16 | Where they differ | |
|---|---|---|---|
| Voltage | 1.2 V | 1.4 V | ADATA Adata XPG Gammix D10 DDR4-3200 CL16 |
The record
Grouped and collapsible · Tap a group to fold
Speed2▾
| ADATA Adata XPG Gammix D10 DDR4-3200 CL16 | ADATA Adata XPG Gammix D20 DDR4-3200 CL16 | |
|---|---|---|
| Memory speed | 3200 MT/s | 3200 MT/s |
| CAS latency | 16 | 16 |
Specs2▾
| ADATA Adata XPG Gammix D10 DDR4-3200 CL16 | ADATA Adata XPG Gammix D20 DDR4-3200 CL16 | |
|---|---|---|
| Module size | 8 GB | 8 GB |
| Voltage | 1.2 V | 1.4 V |
Data sources: GSMArena
FAQ
Which is better, ADATA Adata XPG Gammix D10 DDR4-3200 CL16 or ADATA Adata XPG Gammix D20 DDR4-3200 CL16?
ADATA Adata XPG Gammix D10 DDR4-3200 CL16 has the higher overall score (44 vs 40) and leads in Specs.
What are the main differences?
The main differences: Voltage (1.2 V vs 1.4 V).
How are the scores calculated?
We normalize 4 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.