{"id":16191,"date":"2025-08-07T18:05:49","date_gmt":"2025-08-07T18:05:49","guid":{"rendered":"https:\/\/topat10.com\/?p=16191"},"modified":"2025-08-07T18:05:49","modified_gmt":"2025-08-07T18:05:49","slug":"framework-desktop-review-a-delightful-surprise","status":"publish","type":"post","link":"https:\/\/topat10.com\/?p=16191","title":{"rendered":"Framework Desktop Review: A Delightful Surprise"},"content":{"rendered":"


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In 3DMark Steel Nomad, a popular graphics benchmark, the Framework Desktop performed 13 percent faster than on the ROG Flow Z13. That\u2019s with both systems set at the Best Performance mode, too. It\u2019s still 32 percent behind the latest generation of desktop GPUs, such as the RTX 5060<\/a>, but that\u2019s to be expected. The closest comparable discrete GPU is the Laptop RTX 4060. While that\u2019s not exciting for PC gamers, remember: these are integrated graphics. The only integrated graphics performance that comes close is on Apple\u2019s side with the M4 chips<\/a>.<\/p>\n

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I tried out some modern games, such as Cyberpunk 2077<\/em> and Marvel Rivals,<\/em> and was thoroughly impressed by how well they performed. I was surprised to find that I could play\u00a0Cyberpunk 2077<\/em>\u00a0at 1080p and Ultra settings without any upscaling yet still achieve an average of 84 frames per second. You can easily venture into higher resolutions and even ray tracing if you use AMD’s image upscaling settings or even frame generation. Lighter games like Marvel Rivals<\/em> play without missing a beat.<\/p>\n

The RAM is not removable due to the nature of the chip, though it does come in large-capacity options. The base model has 32 GB, while my configuration came with 64 GB. There\u2019s a 128 GB option, which is important for anyone looking to work with local large language models or other AI projects. The neural processing unit inside is capable of over 50 TOPS<\/a>, and Framework claims it can run large language AI models like Llama 3 70B locally in real time, specifically on the 128-GB model that gives the GPU 96 GB of VRAM to work with.<\/p>\n

A Niche of a Niche<\/h2>\n
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