GeForce RTX 2080 SUPER vs Radeon R9 Nano

Intro

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

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 perform a small 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 a lot (about 24%) more effective 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

If using high levels of AA is important to you, then the GeForce RTX 2080 SUPER is a better choice, and very much so. (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

Specifications

Memory Bandwidth: Bandwidth is the max amount of information (in units of megabytes per second) that can be transferred across the external memory interface in a second. The number is calculated by multiplying the interface width by the speed of its memory. If the card has DDR type RAM, the result should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The better the bandwidth is, the faster the card will be in general. It especially helps with AA, High Dynamic Range and higher screen resolutions.

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

Pixel Rate: Pixel rate is the most pixels the video card could possibly record to the local memory in a second - measured in millions of pixels per second. The figure is calculated by multiplying the number of Render Output Units 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 rate also depends on quite a few other factors, especially the memory bandwidth of the card - the lower the memory bandwidth is, the lower the ability to reach the maximum fill rate.