Nvidia Titan X vs Radeon R9 Nano

Intro

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

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

In theory, the Radeon R9 Nano should be 4% faster than the Nvidia Titan X in general, because of its greater bandwidth. (explain)

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

Texel Rate

The Nvidia Titan X is much (more or less 24%) better 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

The Nvidia Titan X is quite a bit (more or less 113%) more effective at FSAA than the Radeon R9 Nano, and also should be able to handle higher screen resolutions better. (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: Bandwidth is the largest amount of data (counted in megabytes per second) that can be transported across the external memory interface in one second. It's calculated by multiplying the card's interface width by the speed of its memory. In the case of DDR memory, it should be multiplied by 2 once again. If DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the faster the card will be in general. It especially helps with anti-aliasing, HDR and high resolutions.

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

Pixel Rate: Pixel rate is the most pixels that the graphics card can possibly record to its local memory per second - measured in millions of pixels per second. The figure is calculated by multiplying the number of Raster Operations Pipelines by the the card's 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 quite a few other factors, most notably the memory bandwidth - the lower the bandwidth is, the lower the potential to reach the max fill rate.