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GeForce RTX 2080 SUPER vs Radeon R9 295X2

Intro

The GeForce RTX 2080 SUPER features a core clock frequency of 1650 MHz and a GDDR6 memory frequency of 1937 MHz. It also uses a 256-bit memory bus, and uses a 12 nm design. It is made up of 3072 SPUs, 192 Texture Address Units, and 64 ROPs.

Compare that to the Radeon R9 295X2, which features core clock speeds of 1018 MHz on the GPU, and 1250 MHz on the 4096 MB of GDDR5 memory. It features 2816 SPUs along with 176 Texture Address Units and 64 Rasterization Operator Units.

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce RTX 2080 SUPER 250 Watts
Radeon R9 295X2 500 Watts
Difference: 250 Watts (100%)

Memory Bandwidth

In theory, the Radeon R9 295X2 should be 26% faster than the GeForce RTX 2080 SUPER overall, because of its greater bandwidth. (explain)

Radeon R9 295X2 640000 MB/sec
GeForce RTX 2080 SUPER 507904 MB/sec
Difference: 132096 (26%)

Texel Rate

The Radeon R9 295X2 should be a little bit (approximately 13%) better at anisotropic filtering than the GeForce RTX 2080 SUPER. (explain)

Radeon R9 295X2 358336 Mtexels/sec
GeForce RTX 2080 SUPER 316800 Mtexels/sec
Difference: 41536 (13%)

Pixel Rate

If running with a high resolution is important to you, then the Radeon R9 295X2 is the winner, and very much so. (explain)

Radeon R9 295X2 130304 Mpixels/sec
GeForce RTX 2080 SUPER 105600 Mpixels/sec
Difference: 24704 (23%)

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.

One or more cards in this comparison are multi-core. This means that their bandwidth, texel and pixel rates are theoretically doubled - this does not mean the card will actually perform twice as fast, but only that it should in theory be able to. Actual game benchmarks will give a more accurate idea of what it's capable of.

Price Comparison

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GeForce RTX 2080 SUPER

Amazon.com

Check prices at:

Radeon R9 295X2

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 SUPER Radeon R9 295X2
Manufacturer nVidia AMD
Year July 2019 April 2014
Code Name TU104-450-A1 Vesuvius
Memory 8192 MB 4096 MB (x2)
Core Speed 1650 MHz 1018 MHz (x2)
Memory Speed 1937 GB/s 5000 MHz (x2)
Power (Max TDP) 250 watts 500 watts
Bandwidth 507904 MB/sec 640000 MB/sec
Texel Rate 316800 Mtexels/sec 358336 Mtexels/sec
Pixel Rate 105600 Mpixels/sec 130304 Mpixels/sec
Unified Shaders 3072 2816 (x2)
Texture Mapping Units 192 176 (x2)
Render Output Units 64 64 (x2)
Bus Type GDDR6 GDDR5
Bus Width 256-bit 512-bit (x2)
Fab Process 12 nm 28 nm
Transistors 13600 million 6200 million
Bus PCIe 3.0 x16 PCIe 3.0 x16
DirectX Version DirectX 12 DirectX 11.2
OpenGL Version OpenGL 4.6 OpenGL 4.3

Memory Bandwidth: Memory bandwidth is the maximum amount of data (counted in megabytes per second) that can be moved past the external memory interface within a second. The number is worked out by multiplying the card's interface width by the speed of its memory. In the case of DDR type RAM, it should be multiplied by 2 again. If DDR5, multiply by 4 instead. 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 texture map elements (texels) that are applied in one second. This is calculated by multiplying the total number of texture units by the core clock speed of the chip. The higher this number, the better the card will be at handling texture filtering (anisotropic filtering - AF). It is measured in millions of texels applied per second.

Pixel Rate: Pixel rate is the maximum number of pixels that the graphics card could possibly write to the local memory in one second - measured in millions of pixels per second. The number is calculated by multiplying the number of Render Output Units by the the card's clock speed. ROPs (Raster Operations Pipelines - also called Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel output rate is also dependant on quite a few other factors, especially the memory bandwidth - the lower the bandwidth is, the lower the potential to get to the maximum fill rate.

Display Prices

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GeForce RTX 2080 SUPER

Amazon.com

Check prices at:

Radeon R9 295X2

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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