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Lenovo Legion R9000P 2024 vs Lenovo Legion R9000P 2025 AI Edition

The short answer

Lenovo Legion R9000P 2025 AI Edition wins this comparison with a score of 45.8/100, ahead of Lenovo Legion R9000P 2024 (45.8).

The main differences: Processor (AMD Ryzen 9 7000series vs AMD Ryzen 8000series).

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.

Lenovo Legion R9000P 2024

Lenovo Legion R9000P 2024

Lenovo
46score / 100
0 wins · 3 tied ZOL Users ★ 5.0 (1262)
🏆 Overall winner Lenovo Legion R9000P 2025 AI Edition

Lenovo Legion R9000P 2025 AI Edition

Lenovo
46score / 100
0 wins · 3 tied ZOL Users ★ 5.0 (194)

At a glance

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

Lenovo Legion R9000P 2024Lenovo Legion R9000P 2025 AI Edition
Display 41 41
Performance 18 18
Battery 70 70
Design 69 69

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Where they differ

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

Lenovo Legion R9000P 2024Lenovo Legion R9000P 2025 AI EditionWhere they differ
Processor AMD Ryzen 9 7000seriesAMD Ryzen 8000series Depends

The record

Grouped and collapsible · Tap a group to fold

Display1▾
Lenovo Legion R9000P 2024Lenovo Legion R9000P 2025 AI Edition
Touchscreen — —
Performance1▾
Lenovo Legion R9000P 2024Lenovo Legion R9000P 2025 AI Edition
Processor AMD Ryzen 9 7000series AMD Ryzen 8000series
Battery1▾
Lenovo Legion R9000P 2024Lenovo Legion R9000P 2025 AI Edition
Battery capacity 80 Wh 80 Wh
Design2▾
Lenovo Legion R9000P 2024Lenovo Legion R9000P 2025 AI Edition
Weight 2000 g 2000 g
Operating system Windows 11 Home Basic 64-bit Windows 11 Home Basic 64-bit

Data sources: GSMArena

FAQ

Which is better, Lenovo Legion R9000P 2024 or Lenovo Legion R9000P 2025 AI Edition?

Lenovo Legion R9000P 2025 AI Edition edges ahead 46 to 46.

What are the main differences?

The main differences: Processor (AMD Ryzen 9 7000series vs AMD Ryzen 8000series).

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.