Microsoft Surface Book i7 Is Stepping On MacBook Pro; Powered With NVIDIA Gaming GPU, Details Here

Microsoft has just released the new Surface Book with a much powerful chipset. The performance of the new Microsoft Surface Book is double of its predecessor that makes this new laptop one of the best in the market.

The PC World mentioned in their review, that this Microsoft Surface Book is packed with 6th generation Intel Core i7 processor that makes it powerful. This new Microsoft Surface Book i7 is said to be a mere gaming laptop as per The Motley Fool reported.

As you can see its physical feature, it doesn't have much of the revamp or almost no difference compared to the previous Surface Book last year. What the Microsoft did, they feed this new Surface Book with powerful peripherals.

Aside from the Intel Core i7 processor, the new Surface Book is packed with 256GB up to 1TB PCIe Solid State Drive variant. A 16GB LPDDR3 RAM is also installed and a 3,000 x 2,000 screen resolution over 13.5 inches PixelSense screen display.

One of the most exciting parts is, the Microsoft Surface Book i7 is equipped with gaming-ready NVIDIA GeForce GTX 965M GPU. This is a huge step for the Microsoft Surface Book series where it provides 1.9 teraflops of a GPU power.

The Mircosoft Surface Book i7 is now competing against the new Apple MacBook Pro with Touch Bar. Both have a very similar specs, but the only difference is that the MacBook Pro has the USB Thunderbolt port and the Touch Bar feature.

Overall, according to several reviews, the Microsoft Surface Book i7 would win the battle. It is due to its CPU performance and it is packed with the NVIDIA GeForce GTX 965M.

As per the PC Mag, the Microsoft Surface Book price starts at $1,699 for the cheapest variant with 256GB SSD and 8GB RAM. The highest will be $3,299 which is equipped with 1TB SSD and 16GB of LPDD3 RAM. All variants are now available since October 25th.

© 2024 ParentHerald.com All rights reserved. Do not reproduce without permission.

Join the Discussion
Real Time Analytics