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Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++) vs Round Lab Birch Juice Moisturizing Sun Cream

The short answer

Round Lab Birch Juice Moisturizing Sun Cream wins this comparison with a score of 68/100, ahead of Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++) (55).

Scores are computed from 14 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

Relief Sun Aqua-Fresh : Rice + B5  (SPF50+ PA++++)

Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++)

Beauty of Joseon
55score / 100
0 wins · 14 tied
🏆 Overall winner Round Lab Birch Juice Moisturizing Sun Cream

Round Lab Birch Juice Moisturizing Sun Cream

Round Lab
68score / 100
0 wins · 14 tied INCIDecoder ★ 3.8

At a glance

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

Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++)Round Lab Birch Juice Moisturizing Sun Cream
Protection 59 59
Formula 57 74
Actives 48 74

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The record

Grouped and collapsible · Tap a group to fold

Protection2▾
Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++)Round Lab Birch Juice Moisturizing Sun Cream
SPF — 50
UV filters — 2
Formula4▾
Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++)Round Lab Birch Juice Moisturizing Sun Cream
Ingredient count — 40
Star ingredients — 3
Ingredients to avoid — 23
Fragrance-free — ✓
Actives8▾
Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++)Round Lab Birch Juice Moisturizing Sun Cream
Niacinamide — ✓
Hyaluronic acid — ✓
Vitamin C — ✓
Ceramides — —
Retinoid — —
Salicylic acid — —
AHA exfoliants — —
Clay — —

Data sources: INCIDecoder

FAQ

Which is better, Relief Sun Aqua-Fresh : Rice + B5 (SPF50+ PA++++) or Round Lab Birch Juice Moisturizing Sun Cream?

Round Lab Birch Juice Moisturizing Sun Cream has the higher overall score (68 vs 55).

What are the main differences?

Scores are computed from 14 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

How are the scores calculated?

We normalize 14 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.