GeForce RTX 2080 SUPER vs Radeon R9 Nano

Intro

Compare those specifications to the Radeon R9 Nano, which makes use of a 28 nm design. AMD has set the core speed at 1000 MHz. The HBM memory runs at a frequency of 500 MHz on this model. It features 4096 SPUs along with 256 Texture Address Units and 64 ROPs.

Display Graphs

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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

In theory, the Radeon R9 Nano will be 1% quicker than the GeForce RTX 2080 SUPER overall, due to its greater data rate. (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 (more or less 24%) faster with regards to 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 a high resolution is important to you, then the GeForce RTX 2080 SUPER is a better choice, 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

Specifications

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

Pixel Rate: Pixel rate is the most pixels that the graphics card could possibly record to its local memory per second - measured in millions of pixels per second. The number is calculated by multiplying the number of Raster Operations Pipelines by the the core 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 lots of other factors, most notably the memory bandwidth - the lower the bandwidth is, the lower the ability to get to the maximum fill rate.