ADATA XPG D300 DDR5 6000 C30 16GB vs ADATA XPG D500G DDR5 7200 64GB 32GBx2
ADATA XPG D300 DDR5 6000 C30 16GB — Pick the ADATA XPG D300 DDR5 6000 C30 16GB — it leads these groups: Speed 1
Tap a group name to see the proof · The scoring method is public
The short answer
ADATA XPG D300 DDR5 6000 C30 16GB wins this comparison with a score of 65/100, ahead of ADATA XPG D500G DDR5 7200 64GB 32GBx2 (64).
The main differences: Memory speed (6000 MT/s vs 3200 MT/s).
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 XPG D300 DDR5 6000 C30 16GB if you care about…
- Memory speed 6000 MT/s +2800 MT/s vs 3200 MT/s
Best price now
Cheap alternatives
Samsung 2×8GB DDR4 3200
ADATA 16GB DDR3 2400
Corsair 16GB DDR3 1600 CMD16GX3M2A1600C9
Corsair 16GB DDR4 3600 CM4X16GC3600C18K2D-CN
Corsair 16GB DDR5 5200
Corsair Vengeance RGB DDR5-6200 C36
Where they differ
1 · Only rows that actually differ, with a verdict per row
| ADATA XPG D300 DDR5 6000 C30 16GB | ADATA XPG D500G DDR5 7200 64GB 32GBx2 | Where they differ | |
|---|---|---|---|
| Memory speed | 6000 MT/s | 3200 MT/s | ADATA XPG D300 DDR5 6000 C30 16GB |
The record
Grouped and collapsible · Tap a group to fold
Speed2▾
| ADATA XPG D300 DDR5 6000 C30 16GB | ADATA XPG D500G DDR5 7200 64GB 32GBx2 | |
|---|---|---|
| Memory speed | 6000 MT/s | 3200 MT/s |
| CAS latency | — | 6 |
Specs2▾
| ADATA XPG D300 DDR5 6000 C30 16GB | ADATA XPG D500G DDR5 7200 64GB 32GBx2 | |
|---|---|---|
| DDR generation | 5 | 5 |
| Module size | 16 GB | 16 GB |
Data sources: Amazon
FAQ
Which is better, ADATA XPG D300 DDR5 6000 C30 16GB or ADATA XPG D500G DDR5 7200 64GB 32GBx2?
ADATA XPG D300 DDR5 6000 C30 16GB edges ahead 65 to 64 and leads in Speed.
What are the main differences?
The main differences: Memory speed (6000 MT/s vs 3200 MT/s).
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.