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.
Round Lab Birch Juice Moisturizing Sun Cream
Round LabAt 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.
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