Machenike 87 vs MCHOSE G75 Pro
MCHOSE G75 Pro — Pick the MCHOSE G75 Pro — it leads these groups: Connect 1
Tap a group name to see the proof · The scoring method is public
The short answer
MCHOSE G75 Pro wins this comparison with a score of 72/100, ahead of Machenike 87 (56).
The main differences: Layout (笔记本式 vs ANSI (United States)) · Key count (87 vs 71) · 2.4GHz wireless (— vs ✓).
Scores are computed from 7 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 Machenike 87 if you care about…
- Key count 87 +16 vs 71
Pick the MCHOSE G75 Pro if you care about…
- 2.4GHz wireless ✓ vs —
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| Machenike 87 | MCHOSE G75 Pro | Where they differ | |
|---|---|---|---|
| Layout | 笔记本式 | ANSI (United States) | Depends |
| Key count | 87 | 71 | Machenike 87 |
| 2.4GHz wireless | — | ✓ | MCHOSE G75 Pro |
| Switch type | 机械轴（凯华黑轴） | Cabbage Tofu Switch | Depends |
The record
Grouped and collapsible · Tap a group to fold
Design5▾
| Machenike 87 | MCHOSE G75 Pro | |
|---|---|---|
| Layout | 笔记本式 | ANSI (United States) |
| Hot-swappable | — | ✓ |
| Per-key RGB | — | ✓ |
| Key count | 87 | 71 |
| Weight | — | 1030 g |
Connect1▾
| Machenike 87 | MCHOSE G75 Pro | |
|---|---|---|
| 2.4GHz wireless | — | ✓ |
Feel1▾
| Machenike 87 | MCHOSE G75 Pro | |
|---|---|---|
| Switch type | 机械轴（凯华黑轴） | Cabbage Tofu Switch |
Data sources: GSMArena
FAQ
Which is better, Machenike 87 or MCHOSE G75 Pro?
MCHOSE G75 Pro has the higher overall score (72 vs 56) and leads in Connect. Choose Machenike 87 instead if Key count matters more to you.
What are the main differences?
The main differences: Layout (笔记本式 vs ANSI (United States)) · Key count (87 vs 71) · 2.4GHz wireless (— vs ✓).
How are the scores calculated?
We normalize 7 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.