

- #Graphic card benchmark manipulation how to#
- #Graphic card benchmark manipulation 1080p#
- #Graphic card benchmark manipulation full#
Memory Type - This is the part that says GDDR#. Many other factors determine the capability of the GPU as well. This is also not the end all, be all either. Anything less than 2GB should not be used for gaming. Usually 2GB will get you by, 3GB is good, 4GB is great, and anything more will be 4k resolution ready. It is essentially the amount of dedicated gaming RAM the GPU has to use. Do note that a 4k monitor is needed for this resolution. This is the premium resolution that only the best graphics cards can handle.
#Graphic card benchmark manipulation 1080p#
When running benchmarks be sure to be looking at the 1080p results.Ĥk - This means 3840 pixels × 2160 lines. This resolution is needed to provide crisp visuals for video or games. Most people today run FHD for games and movies.
#Graphic card benchmark manipulation full#
More expensive monitors are needed to show more than 60fps.ġ080p - This is the resolution setting for Full HD or 1920x1080. A general rule of thumb is 30fps is minimum for playing and 60fps is optimal. The more frames per second means the smoother the game or video will look. Here are some common words and their definitions in the graphics world:įPS - Frames per second. We are going to take it from the top on this guide and start by defining some of the common terms used in GPUs and then we will dive into how benchmarking cards work, and then wrap up with the five best benchmarks for you to run and test a GPU with.

Otherwise you may pay way too much for more than you need or end up without enough power to do what you intended to do. Graphics cards are a long-term investment, so it is important to pick the right one.
#Graphic card benchmark manipulation how to#
The results corroborate and further articulate the hypothesis that the internal manipulation of representations is a core process in goal-directed flexible cognition.In this article we are going to help you understand a little more about how benchmarks work, what they show you, and how to interpret the results so that you can choose the graphics card best suited for your needs. The capacity of the model to support cognitive flexibility was validated by systematically reproducing and interpreting the behaviour exhibited in the WCST by young and old healthy adults, and by frontal and Parkinson patients. Moreover, we propose a neuro-inspired computational model to operationalise this hypothesis. Thus, we propose a novel hypothesis where the key mechanisms of cognitive flexibility and goal-directed behaviour rely on the acquisition of suitable representations of percepts and their top-down internal manipulation. Surprisingly, all models of the WCST ignore this fundamental stage and they assume that decision making directly triggers actions.

However, several studies suggest that the categorisation processes involved in the solution of the WCST include an additional computational stage of category representation that supports the other processes. These models clarify important aspects that underlie cognitive flexibility, particularly decision-making, motor response, and feedback-dependent learning processes. Several computational models have been proposed for studying cognitive flexibility as a key executive function and the Wisconsin card sorting test (WCST) that represents an important neuropsychological tool to investigate it. Executive functions represent a set of processes in goal-directed cognition that depend on integrated cortical-basal ganglia brain systems and form the basis of flexible human behaviour.
