Ethereum classic gpu hashrate

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Modding those with better thermal pads, or buying a third party card, can boost performance and lower memory temperatures. You can check out the power chart, but the overall efficiency chart is more important than raw power use. Finally, we have temperatures. The cards settled in at degrees Celsius, with GPU clocks fluctuating quite a bit.

This brings us to the main area of interest. Power use also dropped to W, is quite good considering the hash rate. Consider yourself warned. Again, maxing out fan speeds and memory clocks while dropping the GPU core clocks and power limit are key to improving overall hash rates.

Then we overclocked the memory by MHz base clock, which gave a final speed of 20Gbps the Ampere cards run at 0. We were able to add MHz, giving a Performance was very close to the while using less power, making this the overall winner in efficiency. Our tuned settings ended up with higher clocks due to the factory overclock and more power use than the Ti Founders Edition, but basically the same hashing performance.

The GPU clocks can go very high at stock, but the memory bandwidth appears to be the main bottleneck. Running with GPU clocks of 2. More importantly, power consumption took a massive dive, and efficiency improved to one of the better results in our testing. At the same time, power requirements dropped substantially, from W to W. However, the memory proves the deciding factor once again.

That resulted in a MHz clock compared to MHz at stock, but fan speed was higher this time. Boosting the clocks back to 2. There are some interesting results. Our stance is that this is a Very Bad Idea tm. Power use as measured using Powenetics would of course increase. We were relatively close on the Ti performance, and our earlier power data showed much better results than NiceHash, but now those figures have been updated and are slightly lower than our measured power.

Factor in power efficiency and things are much closer. Note that outside of the RX and , and the three GTX variants, all of our tests were done using the reference models from AMD and Nvidia, which tend to be more of a baseline or worst-case scenario for most GPUs. Our Vega cards are also reference models and were far more finnicky than other GPUs. Notice that the Super, Super, and Super all end up with nearly identical performance? The odd bit is that the Super requires substantially higher memory clocks to get there.

Most likely the memory timings on the GDDR6 in the Super are more relaxed looser , so even though bandwidth is higher, bandwidth plus latency ends up balancing out. The Ti and Super are basically the same speed, though we had better luck with memory overclocking on the Super. That reduces power use and temperatures and boosts overall efficiency. Stepping back one generation further to Pascal GTX series , the approach changes a bit.

We got our best results by overclocking the GPU core and memory speed, but then setting a power limit. Not surprisingly, the older the GPUs get, the lower the hash rates and efficiency become. Move back to the Vega architecture and the large memory bandwidth that comes from HBM2 comes into play.

But Vega was also a power-hungry architecture, and it benefits from turning down the GPU clocks. That gave mining clocks of MHz. Vega 64 and Vega 56 used similar settings, but half the memory capacity and bus width limits performance quite a bit relative to the Radeon VII.

Also, our results on the reference blower cards are probably far less than ideal—just about any custom Vega card would be a better choice than these blowers. We experienced a lot of crashing on the two Vega cards while trying to tune performance. Much like the Pascal GPUs, our tuning efforts took more time and effort. Besides setting a low voltage of mV, depending on the card, we set the memory timings to level2 in Radeon Settings, and that gave the best results with reasonable power use.

Use at your own risk, and know that some cards prefer different miner software or simply fail to work with certain miners. Is it possible to improve over our results? This is just a baseline set of performance figures and data, using our specific samples.

But out of the box, these are numbers that just about any card using one of these GPUs should be able to match. This brings us to the final point we want to make. They will burn out if you run them that way. Will it be long enough to recover the cost of the card? This means that, as fast as the price has shot up, it could plummet just as quickly. Paying extreme prices for mid-range hardware to try and build your own personal mining mecca, on the other hand, is a big risk.

You might do fine, you might do great, or you might end up with a lot of extra PC hardware and debt. Does it make sense to mine this way? It does. The network hash rate will decrease significantly which will lead to lower mining difficulty. The advantages are obvious. What to do with all 4GB devices? When miners start having problems with DAG, they are forced to switch to other cryptocurrencies which will make their mining difficulty go up. Here is a bat file setting for Windows. The developer says that if everything is working and mining is on, there is no need to adjust anything.

If you are having problems, run a benchmark using the following command. This one is for Windows. If it worked, you can try to lower it even more. Repeat until your miner launches and operates properly. We recommend mining Ethereum in the 2Miners pool. It has a user-friendly interface, advanced settings, and the support of multiple languages. LolMiner has definitely brought some good news. Ethereum mining will go on, and GPU owners will keep making a profit from it.

Hopefully, we will see a similar approach to other cryptocurrencies in the future. Recently TeamRedMiner has launched the 0. It is similar to the zombie mode and offers a compromise between the GPU efficiency and overall possibility of mining. Phoenix Miner also supports 4GB mining with no additional settings required. Each miner has a special parameter that regulates the amount of memory used for mining.

Here is how to set it up for each miner:. You really want to run with the highest N possible for your rig. If the rig fails to allocate the RAM on startup or the miner crashes after mins every time, lower the number N in small steps until the miner runs ok.

The idea is quite simple. The higher this N number is the higher hashrate you could get. Wilke says that the zombie mode is only available for AMD for now, but Nvidia support is coming soon. It also supports Windows with a smooth mining launch. Such cutback is quite acceptable. Miners have a choice now. We have an article about this update.

On the left, you find the performance on epoch On the right epoch

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We were relatively close on the Ti performance, and our earlier power data showed much better results than NiceHash, but now those figures have been updated and are slightly lower than our measured power. Factor in power efficiency and things are much closer. Note that outside of the RX and , and the three GTX variants, all of our tests were done using the reference models from AMD and Nvidia, which tend to be more of a baseline or worst-case scenario for most GPUs.

Our Vega cards are also reference models and were far more finnicky than other GPUs. Notice that the Super, Super, and Super all end up with nearly identical performance? The odd bit is that the Super requires substantially higher memory clocks to get there. Most likely the memory timings on the GDDR6 in the Super are more relaxed looser , so even though bandwidth is higher, bandwidth plus latency ends up balancing out.

The Ti and Super are basically the same speed, though we had better luck with memory overclocking on the Super. That reduces power use and temperatures and boosts overall efficiency. Stepping back one generation further to Pascal GTX series , the approach changes a bit.

We got our best results by overclocking the GPU core and memory speed, but then setting a power limit. Not surprisingly, the older the GPUs get, the lower the hash rates and efficiency become. Move back to the Vega architecture and the large memory bandwidth that comes from HBM2 comes into play.

But Vega was also a power-hungry architecture, and it benefits from turning down the GPU clocks. That gave mining clocks of MHz. Vega 64 and Vega 56 used similar settings, but half the memory capacity and bus width limits performance quite a bit relative to the Radeon VII.

Also, our results on the reference blower cards are probably far less than ideal—just about any custom Vega card would be a better choice than these blowers. We experienced a lot of crashing on the two Vega cards while trying to tune performance.

Much like the Pascal GPUs, our tuning efforts took more time and effort. Besides setting a low voltage of mV, depending on the card, we set the memory timings to level2 in Radeon Settings, and that gave the best results with reasonable power use. Use at your own risk, and know that some cards prefer different miner software or simply fail to work with certain miners.

Is it possible to improve over our results? This is just a baseline set of performance figures and data, using our specific samples. But out of the box, these are numbers that just about any card using one of these GPUs should be able to match.

This brings us to the final point we want to make. They will burn out if you run them that way. Will it be long enough to recover the cost of the card? This means that, as fast as the price has shot up, it could plummet just as quickly. Paying extreme prices for mid-range hardware to try and build your own personal mining mecca, on the other hand, is a big risk.

You might do fine, you might do great, or you might end up with a lot of extra PC hardware and debt. Somebody, please think of the gamers! Image 1 of Image 2 of Image 3 of Image 4 of Image 5 of Image 6 of Image 7 of Image 8 of Image 9 of Image 10 of Image 11 of Image 12 of Image 13 of Image 14 of Image 15 of Image 16 of Image 17 of Image 18 of Image 19 of Image 20 of Jarred Walton.

Why the zombie mode? Here is a quote by the project developer Wilke Trei, known as Lolliedieb. I was asked why zombie mode. Well, I found that term fitting. These are cards that are supposed to be dead, yet they continue mining but gradually slower. Like an undead GPU jargon. The new mode is working. As a proof, the developer showed a screenshot where he is mining the cryptocurrency in the test network on epoch This mode enables Ethereum mining after epoch , the last epoch that lets GPUs work at full capacity.

GPU performance will gradually degrade. It means 60 additional days of mining after the official shutdown. On December 21, it will give out Zombie mode will work both on Windows and Linux. Windows will not provide the best results, as you can see in the table. Does it make sense to mine this way?

It does. The network hash rate will decrease significantly which will lead to lower mining difficulty. The advantages are obvious. What to do with all 4GB devices? When miners start having problems with DAG, they are forced to switch to other cryptocurrencies which will make their mining difficulty go up. Here is a bat file setting for Windows. The developer says that if everything is working and mining is on, there is no need to adjust anything. If you are having problems, run a benchmark using the following command.

This one is for Windows. If it worked, you can try to lower it even more. Repeat until your miner launches and operates properly. We recommend mining Ethereum in the 2Miners pool. It has a user-friendly interface, advanced settings, and the support of multiple languages. LolMiner has definitely brought some good news. Ethereum mining will go on, and GPU owners will keep making a profit from it. Hopefully, we will see a similar approach to other cryptocurrencies in the future. Recently TeamRedMiner has launched the 0.

It is similar to the zombie mode and offers a compromise between the GPU efficiency and overall possibility of mining.