GeForce GTX 650 Ti 2GB vs Radeon R9 Nano

Intro

Compare all of that to the Radeon R9 Nano, which makes use of a 28 nm design. AMD has set the core frequency at 1000 MHz. The HBM RAM runs at a frequency of 500 MHz on this particular card. It features 4096 SPUs along with 256 TAUs and 64 Rasterization Operator Units.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 650 Ti 2GB		110 Watts
Radeon R9 Nano		175 Watts
	Difference: 65 Watts (59%)

Memory Bandwidth

As far as performance goes, the Radeon R9 Nano should theoretically be much better than the GeForce GTX 650 Ti 2GB overall. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce GTX 650 Ti 2GB		86400 MB/sec
	Difference: 425600 (493%)

Texel Rate

The Radeon R9 Nano should be a lot (about 331%) more effective at AF than the GeForce GTX 650 Ti 2GB. (explain)

Radeon R9 Nano		256000 Mtexels/sec
GeForce GTX 650 Ti 2GB		59392 Mtexels/sec
	Difference: 196608 (331%)

Pixel Rate

The Radeon R9 Nano should be a lot (about 331%) more effective at AA than the GeForce GTX 650 Ti 2GB, and also should be able to handle higher screen resolutions better. (explain)

Radeon R9 Nano		64000 Mpixels/sec
GeForce GTX 650 Ti 2GB		14848 Mpixels/sec
	Difference: 49152 (331%)

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 largest amount of information (counted in megabytes per second) that can be transferred past the external memory interface within a second. It's worked out by multiplying the bus width by its memory speed. If the card has DDR type RAM, it should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The higher the card's memory bandwidth, the better the card will be in general. It especially helps with anti-aliasing, High Dynamic Range and high resolutions.

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

Pixel Rate: Pixel rate is the maximum number of pixels the video card can possibly write to its local memory in one second - measured in millions of pixels per second. The figure is worked out by multiplying the amount of Render Output Units by the the core clock speed. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for outputting the pixels (image) to the screen. The actual pixel fill rate also depends on lots of other factors, most notably the memory bandwidth - the lower the bandwidth is, the lower the potential to get to the max fill rate.