ASUS TUF Gaming GeForce RTX 3080 OC in Crypto-Mining Ergo Hashrate (MH/s)

Here you can see how fast the ASUS TUF Gaming GeForce RTX 3080 OC 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 TUF Gaming GeForce RTX 3080 OC has 10 GB GDDR6X memory.
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GPU

Based on: NVIDIA GeForce RTX 3080
GPU Chip: GA102-200-K1-A1 (Ampere)
Streaming Multiprocessors: 68
Shader: 8704
Raytracing Cores: 68

Memory

Memory Size: 10 GB
Memory Type: GDDR6X
Memory Clock: 1.188 GHz
Memory bandwidth: 760 GB/s
Memory Interface: 320 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 TUF Gaming GeForce RTX 3080 OC ASUS TUF Gaming GeForce RTX 3080 OC
10 GB GDDR6X
200 MH/s
NVIDIA GeForce RTX 3080 NVIDIA GeForce RTX 3080
Average of gpu group
189 MH/s

Autolykos 2 Power consumption

ASUS TUF Gaming GeForce RTX 3080 OC ASUS TUF Gaming GeForce RTX 3080 OC
10 GB GDDR6X
244 W
NVIDIA GeForce RTX 3080 NVIDIA GeForce RTX 3080
Average of gpu group
230 W

Autolykos 2 Efficiency

ASUS TUF Gaming GeForce RTX 3080 OC ASUS TUF Gaming GeForce RTX 3080 OC
10 GB GDDR6X
0.87 MH/W
NVIDIA GeForce RTX 3080 NVIDIA GeForce RTX 3080
Average of gpu group
0.82 MH/W


More benchmarks for the graphics card
ASUS TUF Gaming GeForce RTX 3080 OC

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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