However, these extra features come at a cost. Users have reported that Google Meet sometimes uses more CPU than it should when running in the background. High CPU usage is a common occurrence in Windows devices so let’s troubleshoot this particular one.

Why does my Google take up so much CPU?

There are a few reasons why your CPU usage is off the roof when using Google services. Here are some potential causes:

You don’t have enough RAM – If your programs are competing for the available RAM, some will struggle to keep up. If this is the case, you’ll need to add more RAM or limit RAM usage. Too many applications open – The more programs you have running on your computer at once, the more work each program has to do in order to keep running smoothly.  Windows update – According to users, they noticed that the high CPU usage started immediately after updating their OSes. It could be a bug or glitch in the new update. Outdated drivers – If the problem is that your computer isn’t responding quickly enough, it could mean that your drivers are due for an update. Screen resolution settings – Google Meet will not use as much processing power if your resolution is set to a lower setting. Your computer might be underpowered – If you’re using an older computer it may not have enough power to run the program smoothly. It may be time to get your hands on a new PC.  Virus/malware – It’s possible that malware could be causing issues with Google Meet and taking up too much of your CPU. Malware often uses up a lot of resources.

Does Google Meet use a lot of RAM?

Google Meet is a very light app, so it shouldn’t use much of your computer’s RAM. However, if you’ve set your video settings to high quality or are using a lot of video effects, installed extensions, and plugins, you could end up using a lot more than expected. Basically, the amount of RAM that Google Meet uses is dependent on a number of factors that you can easily tweak if you notice it’s consuming a lot significant amount of CPU. 

How do I fix high CPU usage in Google Meet?

A few checks that may be able to help include:

Close down any unneeded tabs or Chrome extensions. Disable any background apps that aren’t necessary for the task at hand. Restart your PC. Do you keep hitting the Restart button, but nothing happens?  Rest assured that our guide will help you.

1. Update the Google Meet app 

If you’re running an older version of the app, you may see high CPU usage. You should always keep your apps up-to-date. This will ensure that they have the latest security patches and are running efficiently.  If there are no updates, you can uninstall and download the Google Meet app again so that any new updates will be registered immediately. SPONSORED

2. Adjust your screen resolution settings 

3. Update your display drivers 

If you’re not familiar with the process of updating drivers manually, it can be quite frustrating. Even if you’re an experienced PC user, updating drivers can be a time-consuming task that can lead to many problems. This is where a third-party tool comes in. DriverFix is a tool that allows you to update your drivers automatically. It scans your PC for outdated drivers and offers solutions for updating them.

4. Disable hardware acceleration 

Disabling hardware acceleration will only benefit an older processor. Multi-core processors need the hardware acceleration turned on so that it will reduce the load on the CPU. If this doesn’t work you can look for other ways to boost your PC’s performance.

5. Check for Windows updates

Supposing none of these come to your aid, you can try running a virus scan or switching to a more comprehensive antivirus program. Rolling back Windows updates may also be an option, especially if the spike in CPU usage happened after an update. If you experience frequent high CPU usage from your apps, you should consider installing CPU usage cleaner software. These work in the background and clean up any processes that are resource-intensive. We also may be able to help if your Windows Explorer is a culprit in consuming too much CPU. Your feedback is important to us, so start us off in the comment section with how you have been able to save your CPU resources.

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