PNY GeForce RTX 2070 SUPER Mini in Battlefield 5

Here you can see how fast the PNY GeForce RTX 2070 SUPER Mini is in Battlefield 5. 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 PNY GeForce RTX 2070 SUPER Mini has 8 GB GDDR6 memory.
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GPU

Based on: NVIDIA GeForce RTX 2070 SUPER
GPU Chip: TU104 (Turing)
Streaming Multiprocessors: 40
Shader: 2560
Raytracing Cores: 40

Memory

Memory Size: 8 GB
Memory Type: GDDR6
Memory Clock: 1.750 GHz
Memory bandwidth: 448 GB/s
Memory Interface: 256 bit

Benchmark results

Battlefield 5

Battlefield 5 is a visually stunning game that is ideal as a graphics card benchmark. We test the game with maximum details on Windows 10.

3840x2160 (2160p)

PNY GeForce RTX 2070 SUPER Mini PNY GeForce RTX 2070 SUPER Mini
8 GB GDDR6
58 fps (avg)
NVIDIA GeForce RTX 2070 SUPER NVIDIA GeForce RTX 2070 SUPER
Average of gpu group
56 fps (avg)

2560x1440 (1440p)

PNY GeForce RTX 2070 SUPER Mini PNY GeForce RTX 2070 SUPER Mini
8 GB GDDR6
106 fps (avg)
NVIDIA GeForce RTX 2070 SUPER NVIDIA GeForce RTX 2070 SUPER
Average of gpu group
101 fps (avg)

1920x1080 (1080p)

PNY GeForce RTX 2070 SUPER Mini PNY GeForce RTX 2070 SUPER Mini
8 GB GDDR6
148 fps (avg)
NVIDIA GeForce RTX 2070 SUPER NVIDIA GeForce RTX 2070 SUPER
Average of gpu group
133 fps (avg)


More benchmarks for the graphics card
PNY GeForce RTX 2070 SUPER Mini

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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