The power consumption, depending on the intensity of the video card, is shown in the following graph and is measured according to the heat sink requirements (percentage of TDP). The following data shows the load of various components of the video card: so, you can see how much video memory is used (and also see the ratio of the minimum to the maximum on the graph), how busy the video card as a whole is (the graph corresponds to the first two indicators from the tab-core and memory frequencies), as well as its components, such as the memory controller or the bus interface. GPU-Z has the ability to track the speed of the cooler as a percentage of the maximum, and slightly lower-the speed of the fan in the usual revolutions per minute. To reduce the impact of hot air flows on the video card, manufacturers install a variety of coolers on the devices: in modern realities, you will not surprise anyone with three fans and cooling tubes together, on one video processor case. Carefully observe the temperature under load!
Operating temperature - from 40 to 60 degrees Celsius, heating more than normal (from 65 degrees Celsius and above) is fraught with malfunctions (for example, distortion of the image on the screen) or even failure of the GPU. This is followed by information about the temperature of the video card. As a rule, the graphs in these two lines rise and fall in the same way. The graphs to the right of the data show the process of jumps in dynamics: so, when the red scale fills the bar to the very top, it means that the video card is running at the limit. We fire off a scene where we render a Classroom - we only allow the GPU to render in the benchmark application.The first two values represent the current core and memory frequencies, respectively, at which the video processor is running. We render a Supercar here.īlender v2.81a has recently been updated towards build 2.82 and offers a wide variety of options and APIs, depending on your graphics card. That also means that this title is creating an equal playing field for all brands, as CUDA, for example, is not triggered automatically with GeForce GPUs. If you are looking for a pure 1:1 comparison on OpenCL performance, this render application probably offers the best of the compute arena with OpenCL performance with rendering as workload. Due to the use of industry-standard OpenCL, a wide variety of GPUs from NVIDIA, AMD, and Intel are supported. IndigoBench offers a standalone benchmark application based on Indigo 4's advanced rendering engine, useful for measuring the performance of modern CPUs and GPUs.
0 kommentar(er)
