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GeForce RTX 2080 vs Radeon RX 5700

Intro

The GeForce RTX 2080 uses a 12 nm design. nVidia has set the core speed at 1515 MHz. The GDDR6 memory is set to run at a frequency of 14 MHz on this particular card. It features 2944 SPUs along with 184 TAUs and 64 Rasterization Operator Units.

Compare all that to the Radeon RX 5700, which features a GPU core clock speed of 1465 MHz, and 8096 MB of GDDR6 RAM set to run at 14000 MHz through a 256-bit bus. It also features 2304 SPUs, 144 TAUs, and 64 Raster Operation Units.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon RX 5700 180 Watts
GeForce RTX 2080 215 Watts
Difference: 35 Watts (19%)

Memory Bandwidth

Both cards have exactly the same bandwidth, so theoretically they should have identical performance. (explain)

Texel Rate

The GeForce RTX 2080 should be quite a bit (approximately 32%) more effective at anisotropic filtering than the Radeon RX 5700. (explain)

GeForce RTX 2080 278760 Mtexels/sec
Radeon RX 5700 210960 Mtexels/sec
Difference: 67800 (32%)

Pixel Rate

If using a high resolution is important to you, then the GeForce RTX 2080 is the winner, though not by far. (explain)

GeForce RTX 2080 96960 Mpixels/sec
Radeon RX 5700 93760 Mpixels/sec
Difference: 3200 (3%)

Please note that the above 'benchmarks' are all just theoretical - the results were calculated based on the card's specifications, and real-world performance may (and probably will) vary at least a bit.

Price Comparison

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GeForce RTX 2080

Amazon.com

Check prices at:

Radeon RX 5700

Amazon.com

Check prices at:

Please note that the price comparisons are based on search keywords - sometimes it might show cards with very similar names that are not exactly the same as the one chosen in the comparison. We do try to filter out the wrong results as best we can, though.

Specifications

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Model GeForce RTX 2080 Radeon RX 5700
Manufacturer nVidia AMD
Year September 2018 July 2019
Code Name TU104-400A-A1 Navi 10
Memory 8192 MB 8096 MB
Core Speed 1515 MHz 1465 MHz
Memory Speed 14 GB/s 14000 GB/s
Power (Max TDP) 215 watts 180 watts
Bandwidth 458752 MB/sec 458752 MB/sec
Texel Rate 278760 Mtexels/sec 210960 Mtexels/sec
Pixel Rate 96960 Mpixels/sec 93760 Mpixels/sec
Unified Shaders 2944 2304
Texture Mapping Units 184 144
Render Output Units 64 64
Bus Type GDDR6 GDDR6
Bus Width 256-bit 256-bit
Fab Process 12 nm 7 nm
Transistors (Unknown) million 10300 million
Bus PCIe 3.0 x16 PCIe 4.0 ×16
DirectX Version DirectX 12 DirectX 12
OpenGL Version OpenGL 4.6 OpenGL 4.6

Memory Bandwidth: Bandwidth is the largest amount of data (counted in MB per second) that can be transported over the external memory interface in a second. It is worked out by multiplying the bus width by its memory speed. If it uses DDR RAM, it should be multiplied by 2 once again. If DDR5, multiply by ANOTHER 2x. The higher the bandwidth is, the faster the card will be in general. It especially helps with anti-aliasing, HDR and higher screen resolutions.

Texel Rate: Texel rate is the maximum amount of texture map elements (texels) that can be applied in one second. This is calculated by multiplying the total number of texture units by the core speed of the chip. The better the texel rate, the better the card will be at handling texture filtering (anisotropic filtering - AF). It is measured in millions of texels applied in a second.

Pixel Rate: Pixel rate is the maximum amount of pixels that the graphics card could possibly write to its local memory in a second - measured in millions of pixels per second. The figure is calculated by multiplying the number of ROPs by the the core speed of the card. ROPs (Raster Operations Pipelines - also called Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel rate also depends on many other factors, especially the memory bandwidth - the lower the memory bandwidth is, the lower the ability to get to the max fill rate.

Display Prices

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GeForce RTX 2080

Amazon.com

Check prices at:

Radeon RX 5700

Amazon.com

Check prices at:

Please note that the price comparisons are based on search keywords - sometimes it might show cards with very similar names that are not exactly the same as the one chosen in the comparison. We do try to filter out the wrong results as best we can, though.

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