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GeForce RTX 2080 SUPER vs Radeon R9 Nano

Intro

The GeForce RTX 2080 SUPER features a GPU core clock speed of 1650 MHz, and the 8192 MB of GDDR6 RAM runs at 15500 MHz through a 256-bit bus. It also is comprised of 3072 Stream Processors, 192 Texture Address Units, and 64 ROPs.

Compare those specs to the Radeon R9 Nano, which makes use of a 28 nm design. AMD has clocked the core speed at 1000 MHz. The HBM memory works at a speed of 500 MHz on this specific model. It features 4096 SPUs as well as 256 Texture Address Units and 64 ROPs.

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon R9 Nano		175 Watts
GeForce RTX 2080 SUPER		250 Watts
	Difference: 75 Watts (43%)

Memory Bandwidth

The Radeon R9 Nano should theoretically perform a bit faster than the GeForce RTX 2080 SUPER overall. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce RTX 2080 SUPER		507904 MB/sec
	Difference: 4096 (1%)

Texel Rate

The GeForce RTX 2080 SUPER is quite a bit (more or less 24%) better at texture filtering than the Radeon R9 Nano. (explain)

GeForce RTX 2080 SUPER		316800 Mtexels/sec
Radeon R9 Nano		256000 Mtexels/sec
	Difference: 60800 (24%)

Pixel Rate

The GeForce RTX 2080 SUPER will be quite a bit (approximately 65%) better at AA than the Radeon R9 Nano, and also capable of handling higher screen resolutions without slowing down too much. (explain)

GeForce RTX 2080 SUPER		105600 Mpixels/sec
Radeon R9 Nano		64000 Mpixels/sec
	Difference: 41600 (65%)

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 SUPER

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Radeon R9 Nano

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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 Nano
Manufacturer	nVidia	AMD
Year	July 2019	September 2015
Code Name	TU104-450-A1	Fiji XT
Memory	8192 MB	4096 MB
Core Speed	1650 MHz	1000 MHz
Memory Speed	15500 GB/s	500 MHz
Power (Max TDP)	250 watts	175 watts
Bandwidth	507904 MB/sec	512000 MB/sec
Texel Rate	316800 Mtexels/sec	256000 Mtexels/sec
Pixel Rate	105600 Mpixels/sec	64000 Mpixels/sec
Unified Shaders	3072	4096
Texture Mapping Units	192	256
Render Output Units	64	64
Bus Type	GDDR6	HBM
Bus Width	256-bit	4096-bit
Fab Process	12 nm	28 nm
Transistors	13600 million	8900 million
Bus	PCIe 3.0 x16	PCIe 3.0 x16
DirectX Version	DirectX 12	DirectX 12.0
OpenGL Version	OpenGL 4.6	OpenGL 4.5

Memory Bandwidth: Bandwidth is the max amount of information (in units of MB per second) that can be moved across the external memory interface in one second. It is worked out by multiplying the card's bus width by its memory speed. If it uses DDR type RAM, it must be multiplied by 2 once again. If it uses DDR5, multiply by 4 instead. The better the card's memory bandwidth, the better the card will be in general. It especially helps with AA, HDR and high resolutions.

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

Pixel Rate: Pixel rate is the maximum number of pixels the video card could possibly record to the local memory per second - measured in millions of pixels per second. Pixel rate is worked out by multiplying the amount of Raster Operations Pipelines by the the card's clock speed. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for drawing the pixels (image) on the screen. The actual pixel output rate also depends on lots of other factors, especially the memory bandwidth of the card - the lower the memory bandwidth is, the lower the potential to get to the maximum fill rate.

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