DAKboard CPU v4 4-core BGA

DAKboard CPU v4 4-core BGA

DAKboard
17 Gesamtbewertung
vs
Intel Core Ultra 265K 20-core FCLGA1851

Intel Core Ultra 265K 20-core FCLGA1851

Intel
78 Gesamtbewertung

Bewertungen

Productivity
DAKboard
16
Intel
85
Ai Llm
DAKboard
11
Intel
81
Budget
DAKboard
20
Intel
78
Efficiency
DAKboard
13
Intel
75
Gaming
DAKboard
16
Intel
73
Server
DAKboard
12
Intel
72

Spezifikationen

DAKboard CPU v4Intel Core Ultra 265K
Processor
Brand—Intel
SeriesCortexCore Ultra 7
Model—265K
Codename—Arrow Lake
Classdesktopdesktop
Process—3★
Cores & Clocks
Cores420★
P-cores—8★
E-cores—12★
Threads—20★
Base Clock
1,800
3,900
Boost ClockKeine Daten
5,500
Cache
L2 Cache—24★
L3 Cache—30★
Performance
PassMark MultiKeine Daten
58,571
PassMark SingleKeine Daten
4,929
Memory
Memory Type—DDR5★
Max SpeedKeine Daten
6,400
Max MemoryKeine Daten
192
ECC—✓★
Platform & Power
SocketBGAFCLGA1851
PCIe—5.0
PCIe Lanes—20★
TDP—125★
Max Turbo Power—250★
Unlocked—✓★
Graphics & AI
Integrated Graphics—Arc Xe-LPG Graphics 64EU

Vor- & Nachteile

DAKboard CPU v4 4-core BGA

  • Below average efficiency (13th percentile)13th %ile
  • Below average ai (14th percentile)14th %ile
  • Below average multi thread (18th percentile)18th %ile
  • Below average platform (18th percentile)18th %ile

Intel Core Ultra 265K 20-core FCLGA1851

  • Strong single thread (100th percentile)100th %ile
  • Strong efficiency (96th percentile)96th %ile
  • Strong multi thread (95th percentile)95th %ile
  • Strong ai (95th percentile)95th %ile
  • Below average social proof (22nd percentile)

Preise

DAKboard CPU v4 4-core BGA is 219 $ cheaper (2.3x less).

DAKboard CPU v4 4-core BGA0.097Score pro Dollar
vs
Intel Core Ultra 265K 20-core FCLGA18510.200Score pro Dollar

Intel Core Ultra 265K 20-core FCLGA1851 bietet 2.1x besseres Preis-Leistungs-Verhältnis

DAKboard CPU v4 4-core BGA

Intel Core Ultra 265K 20-core FCLGA1851

Fazit

★ Gewinner: Intel Core Ultra 265K

Scores 78 overall, wins 6 of 6 usage categories and 19 of 27 specs.

Intel Core Ultra 265K Besser bei:

Ai LlmBudgetGamingServerEfficiencyProductivity

Auch in Betracht ziehen