GeForce RTX 3080 Ti vs Radeon R9 Nano

Intro

Compare those specs to the Radeon R9 Nano, which features core clock speeds of 1000 MHz on the GPU, and 500 MHz on the 4096 MB of HBM RAM. It features 4096 SPUs along with 256 TAUs and 64 ROPs.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon R9 Nano		175 Watts
GeForce RTX 3080 Ti		350 Watts
	Difference: 175 Watts (100%)

Memory Bandwidth

In theory, the GeForce RTX 3080 Ti should be much faster than the Radeon R9 Nano overall. (explain)

GeForce RTX 3080 Ti		934297 MB/sec
Radeon R9 Nano		512000 MB/sec
	Difference: 422297 (82%)

Texel Rate

The GeForce RTX 3080 Ti should be a lot (more or less 71%) faster with regards to anisotropic filtering than the Radeon R9 Nano. (explain)

GeForce RTX 3080 Ti		436800 Mtexels/sec
Radeon R9 Nano		256000 Mtexels/sec
	Difference: 180800 (71%)

Pixel Rate

If using a high resolution is important to you, then the GeForce RTX 3080 Ti is a better choice, by a large margin. (explain)

GeForce RTX 3080 Ti		152880 Mpixels/sec
Radeon R9 Nano		64000 Mpixels/sec
	Difference: 88880 (139%)

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 max amount of information (measured in MB per second) that can be moved across the external memory interface in a second. It is worked out by multiplying the card's interface width by the speed of its memory. In the case of DDR RAM, the result should be multiplied by 2 again. If DDR5, multiply by 4 instead. The better the card's memory bandwidth, the better 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 amount of texture map elements (texels) that can be processed in one second. This figure is calculated by multiplying the total amount of texture units by the core 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 a second.

Pixel Rate: Pixel rate is the most pixels that the graphics card could possibly write to the local memory in one second - measured in millions of pixels per second. The figure is calculated by multiplying the amount 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 fill rate is also dependant on many other factors, especially the memory bandwidth - the lower the memory bandwidth is, the lower the potential to get to the max fill rate.