GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G in GTA 5 Benchmark (Grand Theft Auto V)

Here you can see how fast the GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G is in GTA 5 Benchmark (Grand Theft Auto V). 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 GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G has 8 GB GDDR6X memory.
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GPU

Based on: NVIDIA GeForce RTX 3070 Ti
GPU Chip: GA104-400-A1 (Ampere)
Streaming Multiprocessors: 48
Shader: 6144
Raytracing Cores: 48

Memory

Memory Size: 8 GB
Memory Type: GDDR6X
Memory Clock: 1.188 GHz
Memory bandwidth: 608 GB/s
Memory Interface: 256 bit

Benchmark results

GTA 5 Benchmark (Grand Theft Auto V)

Grand Theft Auto V (GTA 5) is based on the RAGE Engine and was developed by Rockstar North. The game was released for Xbox and Playstation at the end of 2013, the PC version followed in spring 2015.

3840x2160 (2160p)

GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G
8 GB GDDR6X
146 fps (avg)
NVIDIA GeForce RTX 3070 Ti NVIDIA GeForce RTX 3070 Ti
Average of gpu group
76 fps (avg)

2560x1440 (1440p)

GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G
8 GB GDDR6X
155 fps (avg)
NVIDIA GeForce RTX 3070 Ti NVIDIA GeForce RTX 3070 Ti
Average of gpu group
114 fps (avg)

1920x1080 (1080p)

GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G
8 GB GDDR6X
199 fps (avg)
NVIDIA GeForce RTX 3070 Ti NVIDIA GeForce RTX 3070 Ti
Average of gpu group
164 fps (avg)


More benchmarks for the graphics card
GIGABYTE AORUS GeForce RTX 3070 Ti MASTER 8G

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:


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