GeForce GTX 280 vs Radeon R9 Nano

Intro

Compare those specifications to the Radeon R9 Nano, which comes with a core clock frequency of 1000 MHz and a HBM memory speed of 500 MHz. It also features a 4096-bit memory bus, and uses a 28 nm design. It features 4096 SPUs, 256 TAUs, and 64 Raster Operation Units.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon R9 Nano		175 Watts
GeForce GTX 280		236 Watts
	Difference: 61 Watts (35%)

Memory Bandwidth

Theoretically speaking, the Radeon R9 Nano should be a lot faster than the GeForce GTX 280 overall. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce GTX 280		141696 MB/sec
	Difference: 370304 (261%)

Texel Rate

The Radeon R9 Nano should be quite a bit (approximately 432%) faster with regards to anisotropic filtering than the GeForce GTX 280. (explain)

Radeon R9 Nano		256000 Mtexels/sec
GeForce GTX 280		48160 Mtexels/sec
	Difference: 207840 (432%)

Pixel Rate

If running with a high resolution is important to you, then the Radeon R9 Nano is superior to the GeForce GTX 280, by far. (explain)

Radeon R9 Nano		64000 Mpixels/sec
GeForce GTX 280		19264 Mpixels/sec
	Difference: 44736 (232%)

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 maximum amount of information (in units of MB per second) that can be transported past the external memory interface in one second. It's worked out by multiplying the bus width by its memory speed. In the case of DDR type RAM, it must be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the faster the card will be in general. It especially helps with AA, High Dynamic Range and higher screen resolutions.

Texel Rate: Texel rate is the maximum amount of texture map elements (texels) that are processed in one second. This is worked out by multiplying the total number of texture units of the card 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 a second.

Pixel Rate: Pixel rate is the maximum number of pixels the video card can possibly write to the local memory per second - measured in millions of pixels per second. The figure is worked out by multiplying the number of Raster Operations Pipelines by the the card's 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 rate is also dependant on many other factors, especially the memory bandwidth of the card - the lower the bandwidth is, the lower the potential to get to the maximum fill rate.