Compare any two graphics cards:

GeForce RTX 2080 SUPER vs Radeon R9 Nano

Intro

The GeForce RTX 2080 SUPER features a core clock frequency of 1650 MHz and a GDDR6 memory frequency of 1937 MHz. It also features a 256-bit bus, and makes use of a 12 nm design. It features 3072 SPUs, 192 TAUs, and 64 Raster Operation Units.

Compare those specs to the Radeon R9 Nano, which makes use of a 28 nm design. AMD has set the core speed at 1000 MHz. The HBM RAM works at a speed of 500 MHz on this model. It features 4096 SPUs as well as 256 TAUs and 64 Rasterization Operator Units.

Display Graphs

Hide Graphs

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

Theoretically speaking, the Radeon R9 Nano should be 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 should be much (approximately 24%) faster with regards to AF than the Radeon R9 Nano. (explain)

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

Pixel Rate

If running with high levels of AA is important to you, then the GeForce RTX 2080 SUPER is the winner, by a large margin. (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

Display Prices

Hide Prices

GeForce RTX 2080 SUPER

Amazon.com

Check prices at:

Radeon R9 Nano

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

Display Specifications

Hide Specifications

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	1937 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: Memory bandwidth is the max amount of information (counted in megabytes per second) that can be transported over the external memory interface in a second. It's worked out by multiplying the card's bus width by the speed of its memory. In the case of DDR memory, it should be multiplied by 2 once again. If DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the faster the card will be in general. It especially helps with anti-aliasing, High Dynamic Range and higher screen resolutions.

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

Pixel Rate: Pixel rate is the maximum number of pixels the video 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 amount of ROPs by the the card's clock speed. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel output rate also depends on quite a few other factors, especially the memory bandwidth of the card - the lower the bandwidth is, the lower the ability to get to the maximum fill rate.

Display Prices

Hide Prices