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How to calculate the power of graphics card

Publish: 2021-04-04 11:02:10
1.

Graphics cards can't dig out bitcoin right now. Your calculation power is the calculation power of Ethereum. The calculation method is also wrong

2.

You can refer to the following, according to some commonly used graphics cards in the Internet bar market, sort out the price and calculation power of a related graphics card, as well as the expected return to the current period, It can be used as a reference:

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power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
quantity of eth g every 24 hours: 0.015
revenue generated every 24 hours: 24.48 yuan
expected payback time: 81.66 days

power consumption: 159w
computing power: 24.3m
price of graphics card: 1599 yuan Yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.9 yuan
estimated payback time: 57.31 days

total power consumption: 171w
computing power: 24.4m
price: 1999 yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.87 yuan
estimated payback time: 71.73 days

< H2 > extended data:

Video card (graphics card) full name display interface card, also known as display adapter, is the most basic configuration of computer, one of the most important accessories. As an important part of the computer host, the graphics card is the equipment of digital to analog signal conversion, and it undertakes the task of output display graphics

the graphics card is connected to the main board of the computer, which converts the digital signal of the computer into an analog signal for the display. At the same time, the graphics card still has the ability of image processing, which can help the CPU work and improve the overall running speed. For those engaged in professional graphic design, graphics card is very important. Civil and military graphics chip suppliers mainly include amd (ultra micro semiconctor) and NVIDIA (NVIDIA). Today's TOP500 computer, including graphics card computing core. In scientific computing, graphics card is called display accelerator

3. 1. According to the mining software, the larger the value, the faster the "speed" in the software

2. Different mining softwares have different algorithms and ranking.
4. According to a certain software, the value is tested. The larger the value is, the faster the speed will be in the software
it is common in mining software, but the ranking will be different for different algorithms.
5. NVIDIA's SLI technology does not limit the number of graphics cards, but limits the graphics card itself. Because only high-end graphics cards support SLI technology, I believe you know that 760 is qualified, but 210 is completely bright, which has nothing to do with high-end graphics cards. Moreover, different cores cannot form SLI.
6. The n-card graphics card has four options: high performance, performance, quality, and high quality. From high to low, what these four options represent must be a question for everyone.
high performance means that you don't need graphics effects to play, but sacrifice the graphics effects for 3D flow smoothness.

  • high quality means that it is just the opposite of performance, It is to sacrifice fluency for better picture effect

  • the default is high performance. N-card driver has been doing very well, that is, n-card common practice is to sacrifice the picture for fluency.

  • you are a low-end graphics card, so it is recommended that the default is good, the default is to sacrifice the picture, at least you can play, this practice is also desirable

  • < / OL >
    7. APU series no matter which one can't compare with i5 4590, APU series focuses on strong performance. You should compare the fx8300 to the i5 4590. That's the same level
    8. Because of its architecture, the computing power of the graphics card is far stronger than that of the CPU. Some software or features developed for the graphics card can call the computing power of the graphics card, thus greatly improving the efficiency of computing
    mainly used in scientific computing, video rendering, video processing and other fields

    in our daily use of computers, we seldom use the general computing power of graphics card, which has little impact.
    9. Computing power is a concept put forward by NVIDIA when it released CUDA (Compute Unified Device Architecture, a programming language for GPU, similar to C programming for CPU). Because the graphics card itself is a floating-point computing chip, it can be used as a computing card, so the graphics card has computing power. Different graphics cards have different computing power. In order to show the difference, NVIDIA put forward the corresponding version of computing power x.x on the procts of different periods. Computing power 1.0 appeared on early graphics cards, such as the original 8800 ultra and many 8000 Series cards, as well as Tesla C / D / s870s cards. Cuda1.0 was released corresponding to these graphics cards. Today, computing power 1.0 has been eliminated from the market. Then there was computing power 1.1, which appeared on many 9000 Series graphics cards. Computing power 1.2 appears together with GT200 Series graphics card, while computing power 1.3 is proposed when upgrading from GT200 to GT200 A / b revision. In the future, there will be computing power 2.0, 2.1, 3.0 and other versions. The latest released version is computing power 6.1, which is supported by the latest Pascal architecture graphics card. At the same time, CUDA version is also updated to cuda8.0

    ordinary users do not need to care about the computing power of the graphics card, only GPU programmers care about this problem when they write CUDA programs to develop GPU computing. As long as you know the model of your computer's graphics card, you can find the corresponding computing power https://developer.nvidia.com/cuda-gpus .
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