GeForce RTX 2080 vs Radeon R9 390 8G

Intro

Compare that to the Radeon R9 390 8G, which has core clock speeds of 1000 MHz on the GPU, and 1500 MHz on the 8192 MB of GDDR5 RAM. It features 2560 SPUs as well as 160 TAUs and 64 Rasterization Operator Units.

Display Graphs

Hide Graphs

Benchmarks

These are real-world performance benchmarks that were submitted by Hardware Compare users. The scores seen here are the average of all benchmarks submitted for each respective test and hardware.

3DMark Fire Strike Graphics Score

GeForce RTX 2080		26155 points
Radeon R9 390 8G		12733 points
	Difference: 13422 (105%)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce RTX 2080		215 Watts
Radeon R9 390 8G		275 Watts
	Difference: 60 Watts (28%)

Memory Bandwidth

Theoretically speaking, the GeForce RTX 2080 is 19% faster than the Radeon R9 390 8G overall, because of its greater data rate. (explain)

GeForce RTX 2080		458752 MB/sec
Radeon R9 390 8G		384000 MB/sec
	Difference: 74752 (19%)

Texel Rate

The GeForce RTX 2080 will be quite a bit (more or less 74%) better at texture filtering than the Radeon R9 390 8G. (explain)

GeForce RTX 2080		278760 Mtexels/sec
Radeon R9 390 8G		160000 Mtexels/sec
	Difference: 118760 (74%)

Pixel Rate

If using high levels of AA is important to you, then the GeForce RTX 2080 is the winner, by far. (explain)

GeForce RTX 2080		96960 Mpixels/sec
Radeon R9 390 8G		64000 Mpixels/sec
	Difference: 32960 (52%)

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 largest amount of data (in units of megabytes per second) that can be transferred across the external memory interface within a second. It is calculated by multiplying the interface width by the speed of its memory. In the case of DDR memory, the result should be multiplied by 2 once again. If DDR5, multiply by 4 instead. The better the bandwidth is, the better the card will be in general. It especially helps with anti-aliasing, HDR and high resolutions.

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

Pixel Rate: Pixel rate is the maximum amount of pixels that the graphics chip could possibly write to its local memory in one second - measured in millions of pixels per second. Pixel rate is worked out by multiplying the number of colour ROPs by the the core clock speed. ROPs (Raster Operations Pipelines - also sometimes called Render Output Units) are responsible for drawing the pixels (image) on the screen. The actual pixel fill rate is also dependant on many other factors, most notably the memory bandwidth of the card - the lower the memory bandwidth is, the lower the potential to reach the maximum fill rate.