RTX 5060

RTX 5060 Specifications

The RTX 5060 is based on the Blackwell 2.0 architecture and manufactured using the 4 nm process node. It was launched approximately 2 weeks, 4 days ago, originally priced at $299. It features 3840 cores, including 48 compute units (SMs), 120 texture mapping units (TMUs), and 48 render output units (ROPs). For ray tracing and AI-accelerated tasks, it also includes 30 dedicated RT cores and 120 Tensor cores, enabling advanced rendering and upscaling features where supported. It has a base clock of 2280 MHz and a boost clock reaching up to 2497 MHz. The RTX 5060 comes equipped with 8 GB of GDDR7 memory across a 128-bit bus. Memory runs at 1750 MHz and delivers a total memory bandwidth of 448 GB/s.

This GPU has a low thermal design power (TDP) of 145 W. It is generally compatible with almost all PC cases and is excellent for SFF and compact systems where heat dissipation is a concern.

RTX 5060 Performance Review

RTX 5060 is an entry-level graphics card with a relative gaming performance score of 38.77%. It performs well at 1080p and can handle 1440p with optimized settings or features like DLSS and FSR, though it's not suitable for 4K. Intended for for casual gamers or users who play occasionally on general-purpose PCs.

The RTX 5060 pairs a relatively powerful GPU core with a moderate VRAM size of 8 GB — a configuration that's becoming increasingly common. However, this pairing has sparked significant discussion in the gaming and tech review communities. Many modern GPUs with strong processing capabilities are equipped with insufficient VRAM (often less than 16 GB), which prevents them from realizing their full potential. As a result, GPUs like this one often deliver excellent performance in 1080p gaming at ultra settings, and perform well at 1440p in many titles. However, as modern games demand more VRAM — particularly due to high-resolution textures, ray tracing, and expansive open worlds — this limited memory becomes a bottleneck. In 4K gaming, performance can drop significantly due to VRAM exhaustion, leading to underutilization of the GPU core itself. Technologies such as DLSS or FSR can mitigate some of the performance loss at higher resolutions, but this often comes with a tradeoff in visual fidelity. This GPU configuration still handles basic to intermediate content creation tasks well — such as 1080p/1440p video editing, lightweight 3D modeling, and digital art workflows. For AI and machine learning applications, the GPU is capable of running small to mid-sized models and performing inference tasks. However, limited VRAM restricts its ability to handle larger models, which may require downsampling, reduced batch sizes, or precision reduction to run effectively.

In terms of gaming value, RTX 5060 provides excellent performance per dollar, reaching 91.2% efficiency relative to the best in this category. It performs well in 1080p and 1440p, but due to the limited VRAM, it may struggle with future games or long-term use.