AMD A10 9700E 4-core AM4

AMD A10 9700E 4-core AM4

AMD
41 综合评分
vs
G.Skill Trident Z Neo 6-core AMD Socket AM4

G.Skill Trident Z Neo 6-core AMD Socket AM4

G.Skill
66 综合评分

买家怎么说

AMD A10 9700E 4-core AM4

82 满分 100 置信度低 7 条评价

这款预算级APU因其出色的性价比而广受赞誉,运行凉爽,能轻松处理日常任务、轻度游戏甚至软件开发。用户欣赏AM4升级路径,但有些人指出原装散热器有点啸叫,并建议超频时使用第三方散热器。一些注意事项包括L2缓存有限,以及必须使用2400MHz内存,因为降频使用更快的内存可能会导致崩溃。

优点
  • 性价比极高
  • 负载下运行凉爽
  • AM4升级路径
  • 可处理轻度游戏
  • 适合日常任务
缺点
  • 原装散热器有啸叫
  • L2缓存有限
  • 需要2400MHz内存
  • 超频建议使用第三方散热器
👍 Value for money 5
👍 Thermal performance 3
🤔 Stock cooler 3
👍 Am4 upgrade path 3
👎 L2 cache 2
👎 Ram compatibility 1

G.Skill Trident Z Neo 6-core AMD Socket AM4

暂无用户反馈

评分

Efficiency
AMD
53
G.Skill
77
Productivity
AMD
41
G.Skill
70
Gaming
AMD
40
G.Skill
62
Budget
AMD
55
G.Skill
60
Ai Llm
AMD
33
G.Skill
59
Server
AMD
33
G.Skill
55

规格

AMD A10 9700EG.Skill Trident Z Neo
Processor
BrandAMDAMD
SeriesA10Ryzen 5
Model9700E3600
CodenameBristol RidgeMatisse
Classdesktopdesktop
Process287★
Cores & Clocks
Cores46★
P-cores—6★
Threads412★
Base Clock
3,000
3,600
Boost Clock
3,500
4,200
Cache
L2 Cache23★
L3 Cache—32★
Performance
PassMark Multi
3,257
17,645
PassMark Single
1,518
2,557
Memory
Memory TypeDDR4DDR4
Max Speed
2,400
3,600
Channels3★2
Max Memory—32★
ECC—✗
Platform & Power
SocketAM4AMD Socket AM4
PCIe3.04.0
PCIe Lanes816★
TDP35★65
Unlocked✓✓
Graphics & AI
Integrated GraphicsAMD Radeon R7—

优缺点

AMD A10 9700E 4-core AM4

  • Strong feature (89th percentile)89th %ile
  • Strong platform (74th percentile)
  • Strong social proof (73rd percentile)
  • Below average ai (30th percentile)
  • Below average multi thread (32nd percentile)

G.Skill Trident Z Neo 6-core AMD Socket AM4

  • Strong feature (87th percentile)87th %ile
  • Strong efficiency (84th percentile)84th %ile
  • Strong platform (79th percentile)
  • Strong single thread (73rd percentile)
  • Below average affordability (20th percentile)20th %ile

结论

★ 胜出: G.Skill Trident Z Neo

Scores 66 overall, wins 6 of 6 usage categories and 13 of 26 specs.

G.Skill Trident Z Neo 更擅长:

Ai LlmBudgetGamingServerEfficiencyProductivity