GeForce GTX 460 2GB vs Radeon R9 Nano

Intro

Compare those specs 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 made up of 4096 SPUs, 256 TAUs, and 64 ROPs.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 460 2GB		160 Watts
Radeon R9 Nano		175 Watts
	Difference: 15 Watts (9%)

Memory Bandwidth

The Radeon R9 Nano, in theory, should perform quite a bit faster than the GeForce GTX 460 2GB overall. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce GTX 460 2GB		115200 MB/sec
	Difference: 396800 (344%)

Texel Rate

The Radeon R9 Nano is a lot (about 577%) better at texture filtering than the GeForce GTX 460 2GB. (explain)

Radeon R9 Nano		256000 Mtexels/sec
GeForce GTX 460 2GB		37800 Mtexels/sec
	Difference: 218200 (577%)

Pixel Rate

If using a high screen resolution is important to you, then the Radeon R9 Nano is superior to the GeForce GTX 460 2GB, by far. (explain)

Radeon R9 Nano		64000 Mpixels/sec
GeForce GTX 460 2GB		21600 Mpixels/sec
	Difference: 42400 (196%)

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 max amount of information (in units of MB per second) that can be moved past the external memory interface in one second. It is worked out by multiplying the card's interface width by its memory speed. If the card has DDR RAM, it should be multiplied by 2 again. If DDR5, multiply by 4 instead. The higher the memory bandwidth, the faster the card will be in general. It especially helps with AA, HDR and high resolutions.

Texel Rate: Texel rate is the maximum number of texture map elements (texels) that are applied per second. This figure is worked out by multiplying the total amount of texture units by the core speed of the chip. The higher this number, the better the card will be at 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 write to the local memory in a second - measured in millions of pixels per second. Pixel rate is calculated by multiplying the amount of Render Output Units by the the card's clock speed. ROPs (Raster Operations Pipelines - aka 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 max fill rate.