KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition in GTA 5 Benchmark (Grand Theft Auto V)

Here you can see how fast the KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition 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 KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition has 12 GB GDDR6X memory.
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GPU

Based on: NVIDIA GeForce RTX 3080 Ti
GPU Chip: GA102-225-A1 (Ampere)
Streaming Multiprocessors: 80
Shader: 10240
Raytracing Cores: 80

Memory

Memory Size: 12 GB
Memory Type: GDDR6X
Memory Clock: 1.188 GHz
Memory bandwidth: 912 GB/s
Memory Interface: 384 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)

KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition
12 GB GDDR6X
164 fps (avg)
NVIDIA GeForce RTX 3080 Ti NVIDIA GeForce RTX 3080 Ti
Average of gpu group
100 fps (avg)

2560x1440 (1440p)

KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition
12 GB GDDR6X
185 fps (avg)
NVIDIA GeForce RTX 3080 Ti NVIDIA GeForce RTX 3080 Ti
Average of gpu group
150 fps (avg)

1920x1080 (1080p)

KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition KFA2 GeForce RTX 3080 Ti HOF OC Lab Edition
12 GB GDDR6X
207 fps (avg)
NVIDIA GeForce RTX 3080 Ti NVIDIA GeForce RTX 3080 Ti
Average of gpu group
186 fps (avg)


More benchmarks for the graphics card
KFA2 GeForce RTX 3080 Ti HOF OC Lab 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:


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