Palit GeForce RTX 2070 Super JetStream in Battlefield 5

Here you can see how fast the Palit GeForce RTX 2070 Super JetStream 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 Palit GeForce RTX 2070 Super JetStream has 8 GB GDDR6 memory.
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GPU

Based on: NVIDIA GeForce RTX 2070
GPU Chip: TU106 (Turing)
Streaming Multiprocessors: 36
Shader: 2304
Raytracing Cores: 36

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)

Palit GeForce RTX 2070 Super JetStream Palit GeForce RTX 2070 Super JetStream
8 GB GDDR6
58 fps (avg)
NVIDIA GeForce RTX 2070 NVIDIA GeForce RTX 2070
Average of gpu group
54 fps (avg)

2560x1440 (1440p)

Palit GeForce RTX 2070 Super JetStream Palit GeForce RTX 2070 Super JetStream
8 GB GDDR6
102 fps (avg)
NVIDIA GeForce RTX 2070 NVIDIA GeForce RTX 2070
Average of gpu group
96 fps (avg)

1920x1080 (1080p)

Palit GeForce RTX 2070 Super JetStream Palit GeForce RTX 2070 Super JetStream
8 GB GDDR6
142 fps (avg)
NVIDIA GeForce RTX 2070 NVIDIA GeForce RTX 2070
Average of gpu group
128 fps (avg)


More benchmarks for the graphics card
Palit GeForce RTX 2070 Super JetStream

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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