How to calculate the computing power of graphics card

2. If there is a graphics card, according to the article I saw before, at this stage, it is obvious that it is fast to dig Zec and other currencies
the biggest advantage of XmR is that it can use CPU to dig holes and revitalize rendant CPU resources... Using graphics card to dig XmR, according to the current price, it may not be able to recover the cost!

3. 1. Geforce GTX 1070 graphics card
overall power consumption: 220W
2, computing power: 25.7m
graphics card price: 2899 yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 28.84 yuan
expected payback time: 100.52 days

4. 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:
power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
number 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
price of graphics card: 1599 yuan
every 24 hours Number of time digging eth: 0.017
revenue generated every 24 hours: 27.9 yuan
expected payback time: 57.31 days
video card of radon RX 480

5. 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.

6. 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

7. The hook itself is not able to play ~ need hardware (graphics card) and driver support. Even the super performance 4850 and 4870 are blank. However, some new low-end cards are ~

graphics computing only represents a trend now, which has no practical significance. CUDA Programming is too difficult and lacks software support. Moreover, once you start graphics computing, you will extremely rece your fluency when playing games.