Understanding the performance potential of your Graphics Processing Unit (GPU) is not just a mere curiosity. It is a fundamental requirement, especially for professionals involved in high-end computing tasks such as gaming, data analysis, graphic design, AI development, etc. The key to grasping the full capabilities of your GPU lies in leveraging a robust GPU Benchmarking Software. However, choosing the right one can be akin to navigating a labyrinth due to the plethora of options available. Thus, to unravel this complexity, one must ask certain critical questions to the software, metaphorically speaking, to make an informed decision.

To begin with, one should delve into the intricacies of what GPU Benchmarking Software truly is. Essentially, it is a type of software that allows you to evaluate the performance of your GPU under various stress levels and scenarios. It employs a series of tests that push your GPU to its limits, thereby offering an in-depth understanding of how it would perform under intensive workloads. This could range from rendering complex 3D images to processing large data sets. The results often provide insights into frames per second (FPS), rendering speed, heating efficiency, and even error rates, thus helping to identify any bottlenecks in your system's performance.

The first question one must ask pertains to the comprehensiveness of the software. Does it provide a holistic evaluation of your GPU's performance? Different software products focus on varying aspects of the GPU's performance. For instance, some may emphasize gaming-related tasks, such as rendering complex 3D environments, while others may concentrate on compute-heavy tasks such as hashing algorithms or matrix multiplication, which have applications in cryptocurrency mining and machine learning, respectively. The right software for you will largely depend upon your specific needs.

Next, in the realm of economics, there exists the concept of "opportunity cost." We must apply this principle when considering the ease of use and level of customization offered by the software. Does it provide an intuitive interface and customizable settings? What is the learning curve associated with it? The time spent learning to navigate a complex software could potentially be used to improve your actual work, hence the "opportunity cost." Ideally, the software should strike a balance between offering advanced features and ensuring user-friendliness.

When considering the probability theory, it's pertinent to ask - how reliable are the results provided by the software? The software should employ rigorous testing algorithms to provide accurate and consistent results. A single test might introduce random errors due to a multitude of factors, ranging from background processes to fluctuating power supply. Thus, the software should ideally run multiple tests and average the results to nullify any anomalies, much like increasing the sample size in a statistical study to get a more accurate mean.

In terms of law, particularly the GDPR and other regional data protection laws, it's crucial to question - what kind of data does the software collect? And, how is this data used or shared? In the era of heightened data privacy concerns, the software should adhere to strict data regulation standards. The data collected should strictly pertain to the task of benchmarking, and its usage should be transparently mentioned in the privacy policy.

Lastly, from a temporal perspective, it's vital to ask - how frequently is the software updated? The GPU technology landscape is rapidly evolving, with new architectures and technologies being introduced regularly. Therefore, the software should be frequently updated to keep pace with this rapid progression. It should be able to benchmark the latest models of GPUs and utilize the most recent testing algorithms.

To conclude, choosing the right GPU Benchmarking Software can be a challenging task. However, by asking the right questions that cover the spectrum of performance metrics, ease of use, reliability, data privacy, and software updates, you can navigate the labyrinth effectively. After all, benchmarking your GPU is not just about comprehending how it performs today, but also about understanding how it is likely to perform in the ever-evolving landscape of tomorrow.