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\t\t\t\t \t\t\tGAMES<\/a><\/p>\n \t\t05 September 2026\t<\/p>\n \tViews: 4908<\/p>\n Experts conducted detailed hardware benchmarking of the NVIDIA DLSS 5 neural network rendering technology in a racing simulator. Forza Horizon 6 at Extreme graphics presets in native 4K resolution with ray tracing enabled. The flagship processor-based configuration was used as a testbed. AMD Ryzen 7 9800X3D with a frequency of 5225 MHz, 32 GB of DDR5 RAM with a frequency of 6000 MHz, and a top-of-the-line NVIDIA GeForce RTX 5090 graphics accelerator. The experts focused primarily on a direct comparison of the video card telemetry before and after activating the cinematic neural network profile.<\/p>\n The benchmark results demonstrated a catastrophic drop in performance for the flagship graphics chip when running heavy post-processing algorithms. Without DLSS 5, the graphics card delivered an average rendering speed of 114 FPS with a frame rate of only 8.6 ms, a core clock of 2820 MHz, and a power consumption of 487.1 W. Enabling DLSS 5 Cinematic mode resulted in an immediate drop in frame rate to 60 FPS, representing a net performance loss of 47%. At the same time, the frame generation time more than doubled to 17.4 ms, rare 1% Low events dropped from 97 FPS to 56 FPS, and 0.1% Low events dropped from 72 FPS to 56 FPS.<\/p>\n The colossal computational load from the neural network matrices led to a sharp increase in the operating conditions of the graphics adapter hardware. The graphics card’s power consumption increased by 80.3 W and reached an extreme 567.4 W, which led to a rise in the die temperature from 61\u00b0C to 67\u00b0C and a forced reset of the processor clock rate from 2820 MHz to 2640 MHz. The video buffer remained loaded at 16 GB with a video memory frequency of 14001 MHz, and the GPU utilization increased to a maximum of 99%. Testing clearly demonstrated that, at this stage, the architecture of DLSS 5 algorithms is capable of neutralizing the potential of even the most powerful graphics accelerators on the market.<\/p>\n
\n\t\t\tEvgen Kovalov\t\t<\/a><\/p>\n![\"Image](\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2026\/09\/Image_e4xwihe4xwihe4xw_g_ggpu.webp\")
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