The NVIDIA RTX 4060 is the objective winner of this comparison, securing victory in ten out of fifteen measured specifications. Its most significant advantage over the competition is its FP32 performance, which is 110% better. While the NVIDIA RTX 2060 SUPER maintains a notable lead in hardware-based AI processing capabilities, the superior raw computational throughput of the newer model establishes it as the more capable component across the majority of technical categories evaluated.

Users prioritizing raw computational power should select the NVIDIA RTX 4060 to take advantage of its substantial lead in FP32 performance. Conversely, the NVIDIA RTX 2060 SUPER remains the better choice for those who specifically require the highest density of Tensor Cores, as it offers a 183% advantage in that specific area. Choosing between these two depends entirely on whether your workload demands higher general processing throughput or specialized hardware for AI-driven tasks.