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GeForce RTX 2080 SUPER vs Radeon RX Vega 56

Intro

The GeForce RTX 2080 SUPER uses a 12 nm design. nVidia has set the core speed at 1650 MHz. The GDDR6 memory works at a speed of 1937 MHz on this particular model. It features 3072 SPUs as well as 192 TAUs and 64 ROPs.

Compare those specifications to the Radeon RX Vega 56, which features a core clock speed of 1156 MHz and a HBM2 memory frequency of 1600 MHz. It also uses a 2048-bit bus, and makes use of a 14 nm design. It is comprised of 3584 SPUs, 224 Texture Address Units, and 64 ROPs.

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon RX Vega 56		210 Watts
GeForce RTX 2080 SUPER		250 Watts
	Difference: 40 Watts (19%)

Memory Bandwidth

Performance-wise, the GeForce RTX 2080 SUPER should theoretically be quite a bit better than the Radeon RX Vega 56 overall. (explain)

GeForce RTX 2080 SUPER		507904 MB/sec
Radeon RX Vega 56		419430 MB/sec
	Difference: 88474 (21%)

Texel Rate

The GeForce RTX 2080 SUPER will be a lot (more or less 22%) faster with regards to texture filtering than the Radeon RX Vega 56. (explain)

GeForce RTX 2080 SUPER		316800 Mtexels/sec
Radeon RX Vega 56		258944 Mtexels/sec
	Difference: 57856 (22%)

Pixel Rate

If running with lots of anti-aliasing is important to you, then the GeForce RTX 2080 SUPER is the winner, and very much so. (explain)

GeForce RTX 2080 SUPER		105600 Mpixels/sec
Radeon RX Vega 56		73984 Mpixels/sec
	Difference: 31616 (43%)

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

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GeForce RTX 2080 SUPER

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Radeon RX Vega 56

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Please note that the price comparisons are based on search keywords - sometimes it might show cards with very similar names that are not exactly the same as the one chosen in the comparison. We do try to filter out the wrong results as best we can, though.

Specifications

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Model	GeForce RTX 2080 SUPER	Radeon RX Vega 56
Manufacturer	nVidia	AMD
Year	July 2019	September 2017
Code Name	TU104-450-A1	Vega 10 XL
Memory	8192 MB	8192 MB
Core Speed	1650 MHz	1156 MHz
Memory Speed	1937 GB/s	1600 MHz
Power (Max TDP)	250 watts	210 watts
Bandwidth	507904 MB/sec	419430 MB/sec
Texel Rate	316800 Mtexels/sec	258944 Mtexels/sec
Pixel Rate	105600 Mpixels/sec	73984 Mpixels/sec
Unified Shaders	3072	3584
Texture Mapping Units	192	224
Render Output Units	64	64
Bus Type	GDDR6	HBM2
Bus Width	256-bit	2048-bit
Fab Process	12 nm	14 nm
Transistors	13600 million	12500 million
Bus	PCIe 3.0 x16	PCIe 3.0 x16
DirectX Version	DirectX 12	DirectX 12.0
OpenGL Version	OpenGL 4.6	OpenGL 4.5

Memory Bandwidth: Bandwidth is the largest amount of information (measured in MB per second) that can be transferred over the external memory interface in a second. It's worked out by multiplying the card's interface width by the speed of its memory. In the case of DDR type memory, it should be multiplied by 2 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, HDR and higher screen resolutions.

Texel Rate: Texel rate is the maximum texture map elements (texels) that are processed per second. This number is calculated by multiplying the total amount of texture units by the core clock speed of the chip. The higher the texel rate, the better the graphics card will be at handling texture filtering (anisotropic filtering - AF). It is measured in millions of texels per second.

Pixel Rate: Pixel rate is the most pixels the video card could possibly record to its local memory in one second - measured in millions of pixels per second. Pixel rate is worked out by multiplying the amount of Raster Operations Pipelines by the the core clock speed. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for drawing the pixels (image) on the screen. The actual pixel output rate is also dependant on quite a few other factors, especially the memory bandwidth of the card - the lower the memory bandwidth is, the lower the potential to reach the max fill rate.

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