ASUS ROG Strix GeForce RTX 2080 Ti in Crypto-Mining Ergo Hashrate (MH/s)

Here you can see how fast the ASUS ROG Strix GeForce RTX 2080 Ti is in Crypto-Mining Ergo Hashrate (MH/s). The performance of the graphics card in benchmarks or games primarily depends on the GPU architecture, the number of texture shaders and the memory size. The ASUS ROG Strix GeForce RTX 2080 Ti has 11 GB GDDR6 memory.
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GPU

Based on: NVIDIA GeForce RTX 2080 Ti
GPU Chip: TU102 (Turing)
Streaming Multiprocessors: 68
Shader: 4352
Raytracing Cores: 68

Memory

Memory Size: 11 GB
Memory Type: GDDR6
Memory Clock: 1.750 GHz
Memory bandwidth: 616 GB/s
Memory Interface: 352 bit

Benchmark results

Crypto-Mining Ergo Hashrate (MH/s)

The cryptocurrency Ergo is based on the Autolykos 2 PoW algorithm, which a graphics card can efficiently calculate. The hashrate values were achieved under Hive OS with moderate overclocking.

Autolykos 2 Hashrate

ASUS ROG Strix GeForce RTX 2080 Ti ASUS ROG Strix GeForce RTX 2080 Ti
11 GB GDDR6
117 MH/s
NVIDIA GeForce RTX 2080 Ti NVIDIA GeForce RTX 2080 Ti
Average of gpu group
117 MH/s

Autolykos 2 Power consumption

ASUS ROG Strix GeForce RTX 2080 Ti ASUS ROG Strix GeForce RTX 2080 Ti
11 GB GDDR6
172 W
NVIDIA GeForce RTX 2080 Ti NVIDIA GeForce RTX 2080 Ti
Average of gpu group
170 W

Autolykos 2 Efficiency

ASUS ROG Strix GeForce RTX 2080 Ti ASUS ROG Strix GeForce RTX 2080 Ti
11 GB GDDR6
0.69 MH/W
NVIDIA GeForce RTX 2080 Ti NVIDIA GeForce RTX 2080 Ti
Average of gpu group
0.69 MH/W


More benchmarks for the graphics card
ASUS ROG Strix GeForce RTX 2080 Ti

In order to determine the performance of a graphics card, so-called "benchmarks" are carried out. The benchmark software carries out special calculations to determine the performance of a graphics card. We use so-called theoretical or synthetic benchmarks (e.g. 3D Mark) as well as real game benchmarks. To ensure real comparability of the results, we pay attention to the correct execution of the benchmarks as well as the condition of the graphics card and the system.

We use the following benchmarks to measure the performance of a graphics card:


GPUs by group

Here we have listed more GPU groups for you:



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