GeForce RTX 2060 Super vs Radeon R9 Nano

Intro

Compare those specifications to the Radeon R9 Nano, which uses 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 along with 256 Texture Address Units and 64 ROPs.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Both cards have the same power consumption.

Memory Bandwidth

Theoretically speaking, the Radeon R9 Nano should perform a little bit faster than the GeForce RTX 2060 Super overall. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce RTX 2060 Super		458752 MB/sec
	Difference: 53248 (12%)

Texel Rate

The Radeon R9 Nano will be a lot (more or less 28%) faster with regards to anisotropic filtering than the GeForce RTX 2060 Super. (explain)

Radeon R9 Nano		256000 Mtexels/sec
GeForce RTX 2060 Super		199920 Mtexels/sec
	Difference: 56080 (28%)

Pixel Rate

If using a high resolution is important to you, then the GeForce RTX 2060 Super is superior to the Radeon R9 Nano, by a large margin. (explain)

GeForce RTX 2060 Super		94080 Mpixels/sec
Radeon R9 Nano		64000 Mpixels/sec
	Difference: 30080 (47%)

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 information (measured in MB per second) that can be transferred across the external memory interface in one second. It's calculated by multiplying the bus width by its memory speed. If the card has DDR type memory, it should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The higher the memory bandwidth, the faster the card will be in general. It especially helps with AA, High Dynamic Range and high resolutions.

Texel Rate: Texel rate is the maximum texture map elements (texels) that are processed per second. This figure is calculated by multiplying the total texture units of the card 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 applied in a second.

Pixel Rate: Pixel rate is the most pixels the graphics card could possibly record to the local memory in one 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 - also sometimes called Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel fill rate is also dependant on lots of other factors, most notably the memory bandwidth - the lower the memory bandwidth is, the lower the potential to get to the maximum fill rate.