GeForce RTX 2060 Super vs Radeon R9 390 8G

Intro

Compare all of that to the Radeon R9 390 8G, which has GPU clock speed of 1000 MHz, and 8192 MB of GDDR5 RAM running at 1500 MHz through a 512-bit bus. It also features 2560 Stream Processors, 160 TAUs, and 64 ROPs.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce RTX 2060 Super		175 Watts
Radeon R9 390 8G		275 Watts
	Difference: 100 Watts (57%)

Memory Bandwidth

Theoretically speaking, the GeForce RTX 2060 Super should be 19% faster than the Radeon R9 390 8G overall, due to its greater data rate. (explain)

GeForce RTX 2060 Super		458752 MB/sec
Radeon R9 390 8G		384000 MB/sec
	Difference: 74752 (19%)

Texel Rate

The GeForce RTX 2060 Super is quite a bit (more or less 25%) faster with regards to anisotropic filtering than the Radeon R9 390 8G. (explain)

GeForce RTX 2060 Super		199920 Mtexels/sec
Radeon R9 390 8G		160000 Mtexels/sec
	Difference: 39920 (25%)

Pixel Rate

If running with high levels of AA is important to you, then the GeForce RTX 2060 Super is the winner, by a large margin. (explain)

GeForce RTX 2060 Super		94080 Mpixels/sec
Radeon R9 390 8G		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 data (in units of megabytes per second) that can be moved past the external memory interface in one second. The number is worked out by multiplying the bus width by the speed of its memory. In the case of DDR type memory, it should be multiplied by 2 once again. If DDR5, multiply by 4 instead. The higher the memory bandwidth, the faster the card will be in general. It especially helps with anti-aliasing, High Dynamic Range and high resolutions.

Texel Rate: Texel rate is the maximum number of texture map elements (texels) that can be applied in one second. This figure is worked out by multiplying the total amount of texture units of the card 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 applied per second.

Pixel Rate: Pixel rate is the most pixels the graphics card could possibly write to its local memory per second - measured in millions of pixels per second. The figure is calculated by multiplying the number of Render Output Units by the the core speed of the card. ROPs (Raster Operations Pipelines - also sometimes called 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, most notably the memory bandwidth - the lower the memory bandwidth is, the lower the potential to reach the maximum fill rate.