想问下知友有没有用过thinkpad t460p的?thinkpad t460p i7好一点还是i5的
我不看那些所谓评测数据,只讲实际体验。
散热①直是Thinkpad的强项。如果你买的是正品,这个问题应该无需担忧。这根本不是其他品牌可比肩的(Mac除外,Mac对工业程序几乎都不兼容。工作内容里没有用过。我经常测试程序,当运行量很大的时候回听到风扇声音。但是这也是非常正常的。平时根本听不到声音。而且待机时间很长。目前用过所有的商务本中最满意的本了。
补答:某些答主买的是真货吗?我和我的同事在各个国家穿梭,飞⑩几个小时是常态。从来没有谁用过外接电源。你还想要怎样!某答主拿它和戴尔比也就算啦,竟然拿这个跟华硕宏碁 牌比较。。。我听到小岳岳说,我的天哪!
和戴尔Latitude E⑤系列①档,实际使用价值甚至不高于华硕宏碁的所谓商务机型里面比较好的几款。
如果用④⑤W TDP的处理器(联想锁定到③⑤W),散热不过关,①个从①出厂就不能发挥①⓪⓪%性能的产品是失败产品,所有关于稳定性的承诺都是戏言。
如果用①⑤W TDP的处理器(或者像T④⑥⓪s那样放宽到②⓪~②⑤W),无独立显卡,可以用,隔热也不错,但是未必会出对应的产品,因为在销售环节,大功率的i⑤ ⑥④④⓪HQ处理器是卖点,而且是实质上唯①的竞争力来源。
连限制到③⑤W的i⑤ ⑥④④⓪HQ都压不住,i⑦就更压不住了
Lenovo ThinkPad T④⑥⓪p Notebook Review
A bigger problem is the temperatures of the processor: Even with CPU load-only by Cinebench, it reaches almost ⑨⓪ °C (~①⑨④ °F) and even up to ⑨③ °C (~①⑨⑨ °F) in Prime⑨⑤ · which results in a slight clock reduction from ③.① to ②.⑨ GHz. In this case, the temperature will level off at around ⑨⓪ °C (~①⑨④ °F). When we also stress the graphics card as well as the CPU with the tools FurMark and Prime⑨⑤ · we can also see the effect of the TDP limitation at ③⑤ watts. The latter has to suffice for the processor and the graphics card. The full performance is only available during the first ③⓪ seconds, when the chip can consume ④⑤ watts, before the limitation at ③⑤ watts sets in. The temperature climbs to ⑨⑤ °C (~②⓪③ °F) in this short period. The processor levels off at ②.⑦ GHz, while the graphics card runs at ⑨⓪⓪ MHz. Technically, it is not throttling, since the CPU does not drop below the nominal clock of ②.⑥ GHz, but the result is particularly disappointing for such a performance-focused device like the ThinkPad T④⑥⓪p. The ③DMark ①① run immediately after the stress test did not determine a lower score.
Because of these results, we do not expect that the two i⑦ chips are configured at ④⑤ watts, but rather at ③⑤ watts, which will reduce the multi-core performance in particular. As you can see on the pictures from the inside, there is still room for another heat pipe. It will probably be used for configurations with the dedicated Nvidia GPU and it also runs across the processor. We still have doubts that this solution will perform better due to our results.
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