Nvidia Titan X vs Radeon R9 Nano

Intro

Compare those specs to the Radeon R9 Nano, which makes use of a 28 nm design. AMD has clocked the core speed at 1000 MHz. The HBM RAM works at a frequency of 500 MHz on this specific model. It features 4096 SPUs along with 256 Texture Address Units and 64 Rasterization Operator Units.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

Radeon R9 Nano		175 Watts
Nvidia Titan X		250 Watts
	Difference: 75 Watts (43%)

Memory Bandwidth

Performance-wise, the Radeon R9 Nano should theoretically be a bit superior to the Nvidia Titan X in general. (explain)

Radeon R9 Nano		512000 MB/sec
Nvidia Titan X		491520 MB/sec
	Difference: 20480 (4%)

Texel Rate

The Nvidia Titan X will be quite a bit (more or less 24%) more effective at texture filtering than the Radeon R9 Nano. (explain)

Nvidia Titan X		317408 Mtexels/sec
Radeon R9 Nano		256000 Mtexels/sec
	Difference: 61408 (24%)

Pixel Rate

If running with a high screen resolution is important to you, then the Nvidia Titan X is a better choice, by far. (explain)

Nvidia Titan X		136032 Mpixels/sec
Radeon R9 Nano		64000 Mpixels/sec
	Difference: 72032 (113%)

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 data (counted in MB per second) that can be moved over the external memory interface within a second. It's calculated by multiplying the card's bus width by its memory clock speed. If it uses DDR type memory, it should be multiplied by 2 once again. If 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 higher screen resolutions.

Texel Rate: Texel rate is the maximum number of texture map elements (texels) that are processed in one second. This is calculated 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 video card will be at handling texture filtering (anisotropic filtering - AF). It is measured in millions of texels applied in one second.

Pixel Rate: Pixel rate is the maximum amount of pixels that the graphics chip can possibly record to the local memory in a second - measured in millions of pixels per second. The figure is calculated by multiplying the amount of Render Output Units by the the card's clock speed. ROPs (Raster Operations Pipelines - also called Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel 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 ability to get to the max fill rate.