Despite the Xbox Series X featuring machine learning hardware, it hasn’t yet seen much use, especially when compared to the PlayStation 5 Pro, which has been lauded for its advancements in this area. While the Xbox Series X does offer around 100 TOPS of machine learning performance, this is based on INT4, which is typically not utilized for machine learning upscaling. In a recent episode of their Weekly podcast, the tech experts at Digital Foundry discussed the ongoing debate on social media, suggesting that while the PlayStation 5 Pro may have caught up to Microsoft in terms of machine learning capabilities, simply having the hardware doesn't mean it's being fully leveraged.
Although Microsoft's consoles could benefit from machine learning models, the company has shown little interest in developing such features for the Series X and Series S. For example, the Series X’s machine learning hardware could have been used to implement Auto SR (Super Resolution) for backward-compatible Xbox 360 titles. Microsoft even developed a model capable of running on 40 INT8 TOPS, a level of performance easily handled by the current generation's machine learning hardware.
It’s worth noting that the architecture for the Xbox Series X|S was initially designed back in 2016, a time when machine learning was still emerging. As such, the consoles weren’t specifically designed to take advantage of this technology. However, with the impressive results seen from PlayStation's Spectral Super Resolution, it’s likely that machine learning applications will become more prominent in future console generations.
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