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JUHOR 32GB 16GB*2 DDR5 6000 C28 vs JUHOR 32GB 16GB*2 DDR5 6000 C40

🏆 Settled

JUHOR 32GB 16GB*2 DDR5 6000 C28 — Pick the JUHOR 32GB 16GB*2 DDR5 6000 C28 — it leads these groups: Speed 1

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

The short answer

JUHOR 32GB 16GB*2 DDR5 6000 C28 wins this comparison with a score of 51/100, ahead of JUHOR 32GB 16GB*2 DDR5 6000 C40 (45).

The main differences: CAS latency (30 vs 38).

Scores are computed from 5 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

🏆 Overall winner JUHOR 32GB 16GB*2 DDR5 6000 C28

JUHOR 32GB 16GB*2 DDR5 6000 C28

JUHOR
51score / 100
1 win · 4 tied
JUHOR 32GB 16GB*2 DDR5 6000 C40

JUHOR 32GB 16GB*2 DDR5 6000 C40

JUHOR
45score / 100
0 wins · 5 tied

At a glance

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

JUHOR 32GB 16GB*2 DDR5 6000 C28JUHOR 32GB 16GB*2 DDR5 6000 C40
Speed 65 56
Specs 33 33

How to choose

Pick the JUHOR 32GB 16GB*2 DDR5 6000 C28 if you care about…

  • CAS latency 30 +8 vs 38

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Where they differ

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

JUHOR 32GB 16GB*2 DDR5 6000 C28JUHOR 32GB 16GB*2 DDR5 6000 C40Where they differ
CAS latency 3038 JUHOR 32GB 16GB*2 DDR5 6000 C28

The record

Grouped and collapsible · Tap a group to fold

Speed2▾
JUHOR 32GB 16GB*2 DDR5 6000 C28JUHOR 32GB 16GB*2 DDR5 6000 C40
Memory speed 6000 MT/s 6000 MT/s
CAS latency 30 38
Specs3▾
JUHOR 32GB 16GB*2 DDR5 6000 C28JUHOR 32GB 16GB*2 DDR5 6000 C40
DDR generation 5 5
Module size 32 GB 32 GB
Voltage 1.4 V 1.4 V

Data sources: Amazon

FAQ

Which is better, JUHOR 32GB 16GB*2 DDR5 6000 C28 or JUHOR 32GB 16GB*2 DDR5 6000 C40?

JUHOR 32GB 16GB*2 DDR5 6000 C28 has the higher overall score (51 vs 45) and leads in Speed.

What are the main differences?

The main differences: CAS latency (30 vs 38).

How are the scores calculated?

We normalize 5 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.