The NVIDIA RTX 5060 wins in 9 out of 15 comparable specs, with 3 ties. Its biggest advantage is FP32 Performance (167% better).
RTX 2060 SUPER wins in 3 specs (Tensor Cores: 127% better).
Recommendation
Choose RTX 5060 if you want the best overall performance — especially fp32 performance.
Choose RTX 2060 SUPER if tensor cores matters more to you.
AI Versus Verdict
The NVIDIA RTX 5060 is the objective winner of this comparison, securing victory in nine out of fifteen measured specifications. Its most significant advantage over the NVIDIA RTX 2060 SUPER is its FP32 performance, which is 167% better. This substantial lead in raw computational throughput establishes the newer card as the superior option for tasks that rely heavily on standard floating-point calculations, marking a clear generational improvement across the majority of the evaluated technical categories.
Users prioritizing raw computational power should choose the NVIDIA RTX 5060 to take advantage of its superior FP32 performance. Conversely, the NVIDIA RTX 2060 SUPER remains a relevant choice for specific workloads that benefit from its hardware configuration, as it maintains a 127% advantage in Tensor Core count. Selecting between these two components depends on whether your specific application requirements favor the higher raw throughput of the newer model or the specialized core density of the older card.
Generated by Gemini from the objective spec comparison above. AI advice is a summary, not a benchmark — always verify critical purchases.