ASUS TUF Gaming GeForce RTX 3060 OC Edition in Crypto-Mining Ergo Hashrate (MH/s)

Here you can see how fast the ASUS TUF Gaming GeForce RTX 3060 OC Edition 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 3060 OC Edition has 12 GB GDDR6 memory.
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GPU

Based on: NVIDIA GeForce RTX 3060
GPU Chip: GA106-300-A1 (Ampere)
Streaming Multiprocessors: 28
Shader: 3584
Raytracing Cores: 28

Memory

Memory Size: 12 GB
Memory Type: GDDR6
Memory Clock: 1.875 GHz
Memory bandwidth: 360 GB/s
Memory Interface: 192 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 3060 OC Edition ASUS TUF Gaming GeForce RTX 3060 OC Edition
12 GB GDDR6
114 MH/s
NVIDIA GeForce RTX 3060 NVIDIA GeForce RTX 3060
Average of gpu group
109 MH/s

Autolykos 2 Power consumption

Autolykos 2 Efficiency

ASUS TUF Gaming GeForce RTX 3060 OC Edition ASUS TUF Gaming GeForce RTX 3060 OC Edition
12 GB GDDR6
1.09 MH/W
NVIDIA GeForce RTX 3060 NVIDIA GeForce RTX 3060
Average of gpu group
1.04 MH/W


More benchmarks for the graphics card
ASUS TUF Gaming GeForce RTX 3060 OC Edition

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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