Skip to main content
  1. Home
  2. Computing
  3. s

We made three premium laptops duke it out to see which is best for video editing

Add as a preferred source on Google

Video editors looking to take their craft out of the house have a glut of choices when it comes to stylish, slim laptops. Apple’s MacBook Pro is a perennial favorite, but recent changes to its connectivity and battery life has hurt its reputation among the power users who relied on the system. Razer’s Blade has been revised a few times, and packs in the latest gaming hardware — a good look for video editing. Finally, Microsoft’s Surface Book with Performance Base has splashed onto the scene, offering up competitive performance and a versatile form factor.

But the question remains, which is the best for video editing and encoding? To find out, David from The Unlockr faced them off in a test that replicated his real-world working conditions. He took 4K footage, did some light color correction, and then times the process to encode to both 4K and 1080p for YouTube.

Recommended Videos

Of course, video encoding is an incredibly demanding process that stresses basically every component in your system. The processor and RAM are working overtime, and even your drives are going to be sweating trying to keep up. In order to help leverage the extra computing power in the GPU, Nvidia users can use CUDA acceleration to help speed up the process. As a result, the more powerful GTX 1060 and high-wattage, quad-core, eight-thread CPU in the Blade pushes it to a strong lead over both the Surface Book with Performance Base and MacBook Pro 15 with Touch Bar.

Of course, encoding performance isn’t the only factor when it comes to video editing, as the video mentions. The Macbook’s amazing display and Touch Bar may be a good fit for people already used to the MacOS ecosystem. Likewise, the Surface Book’s 3:2 aspect ratio is a great layout for video editing, and the sensitive touch screen could allow for easy touch-up work.

David Cogen
Former Digital Trends Contributor
After always being the person my friends and family came to for help with their tech (see: resident nerd) and realizing how…
Google’s new Magic Pointer Play Store listing reveals a Gemini shortcut built for Googlebooks
The unannounced app turns the cursor into a contextual AI tool for search, image creation, and shopping
Plant, Text, Business Card

Google has quietly published a new Play Store listing for Magic Pointer, an unannounced app built for Googlebooks. Updated on July 10, the app turns the cursor into a Gemini shortcut that can act on whatever a user selects on screen.

Magic Pointer can send an image to Lens, generate a related image, or surface a shopping action without forcing users to open a separate chatbot. Regular Android devices currently show as incompatible, so the listing offers an early preview rather than a broad release.

Read more
You can stop using AI, but this new report says you probably can’t escape it
A UK survey found that most people feel AI exposure is unavoidable, raising harder questions about consent, privacy, and whether opting out is still realistic
AI Chatbots

More people are trying to use less AI, but avoiding it altogether may already be impossible.

A survey of 2,055 UK adults found that 42% deliberately limit how much AI they use. Another 70% said avoiding AI exposure would be difficult or impossible, even when they actively wanted less of it.

Read more
The face on an AI interviewer may matter as much as the decision it makes
Researchers found that race and gender matching changed how fairly rejected applicants viewed an automated interview, even though everyone received the same outcome
File, Computer Hardware, Electronics

An AI hiring system can treat every applicant the same and still leave some people feeling targeted. Researchers found that rejected candidates judged an automated interview differently depending on the race and gender of the avatar delivering the result.

Around 220 participants completed a simulated interview for a fictional customer support role with one of four photorealistic AI avatars. Everyone was rejected, yet perceptions of fairness shifted with the interviewer’s appearance. An algorithm audit could miss that reaction because candidates don’t experience the system as raw code. They experience a face asking questions and judging their answers.

Read more