Geforce GTX 680 vs Radeon R9 Nano

Intro

Compare all that to the Radeon R9 Nano, which has GPU clock speed of 1000 MHz, and 4096 MB of HBM memory set to run at 500 MHz through a 4096-bit bus. It also is comprised of 4096 SPUs, 256 Texture Address Units, and 64 Raster Operation 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

Radeon R9 Nano		14918 points
Geforce GTX 680		7650 points
	Difference: 7268 (95%)

Ethereum Mining Hash Rate

Radeon R9 Nano		30 Mh/s
Geforce GTX 680		16 Mh/s
	Difference: 14 (88%)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon R9 Nano		175 Watts
Geforce GTX 680		195 Watts
	Difference: 20 Watts (11%)

Memory Bandwidth

Performance-wise, the Radeon R9 Nano should in theory be a lot superior to the Geforce GTX 680 in general. (explain)

Radeon R9 Nano		512000 MB/sec
Geforce GTX 680		192256 MB/sec
	Difference: 319744 (166%)

Texel Rate

The Radeon R9 Nano is much (approximately 99%) better at anisotropic filtering than the Geforce GTX 680. (explain)

Radeon R9 Nano		256000 Mtexels/sec
Geforce GTX 680		128768 Mtexels/sec
	Difference: 127232 (99%)

Pixel Rate

If running with high levels of AA is important to you, then the Radeon R9 Nano is a better choice, by far. (explain)

Radeon R9 Nano		64000 Mpixels/sec
Geforce GTX 680		32192 Mpixels/sec
	Difference: 31808 (99%)

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 information (counted in megabytes per second) that can be moved past the external memory interface within a second. It is worked out by multiplying the card's interface width by the speed of its memory. In the case of DDR type memory, the result should be multiplied by 2 again. If it uses DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the better the card will be in general. It especially helps with AA, High Dynamic Range and high resolutions.

Texel Rate: Texel rate is the maximum number of texture map elements (texels) that can be applied per second. This figure is worked out by multiplying the total number of texture units by the core speed of the chip. The better this number, the better the graphics card will be at texture filtering (anisotropic filtering - AF). It is measured in millions of texels processed in one second.

Pixel Rate: Pixel rate is the most pixels that the graphics chip could possibly record to its local memory per second - measured in millions of pixels per second. Pixel rate is calculated by multiplying the amount of ROPs by the the core speed of the card. ROPs (Raster Operations Pipelines - sometimes also referred to as Render Output Units) are responsible for drawing the pixels (image) on the screen. The actual pixel fill rate also depends on quite a few other factors, most notably the memory bandwidth of the card - the lower the memory bandwidth is, the lower the ability to reach the max fill rate.