GeForce GTX 1050 3GB vs Radeon R9 Nano

Intro

Compare all that to the Radeon R9 Nano, which features core speeds of 1000 MHz on the GPU, and 500 MHz on the 4096 MB of HBM RAM. It features 4096 SPUs as well as 256 TAUs and 64 ROPs.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 1050 3GB		75 Watts
Radeon R9 Nano		175 Watts
	Difference: 100 Watts (133%)

Memory Bandwidth

As far as performance goes, the Radeon R9 Nano should in theory be much superior to the GeForce GTX 1050 3GB overall. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce GTX 1050 3GB		86016 MB/sec
	Difference: 425984 (495%)

Texel Rate

The Radeon R9 Nano is much (approximately 283%) better at AF than the GeForce GTX 1050 3GB. (explain)

Radeon R9 Nano		256000 Mtexels/sec
GeForce GTX 1050 3GB		66816 Mtexels/sec
	Difference: 189184 (283%)

Pixel Rate

The Radeon R9 Nano is quite a bit (more or less 92%) better at AA than the GeForce GTX 1050 3GB, and also will be able to handle higher screen resolutions better. (explain)

Radeon R9 Nano		64000 Mpixels/sec
GeForce GTX 1050 3GB		33408 Mpixels/sec
	Difference: 30592 (92%)

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 data (counted in MB per second) that can be moved across the external memory interface in a second. It is calculated by multiplying the card's interface width by its memory speed. In the case of DDR RAM, it should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The higher the memory bandwidth, the better the card will be in general. It especially helps with AA, HDR and higher screen resolutions.

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

Pixel Rate: Pixel rate is the maximum amount of pixels that the graphics card could possibly record to its local memory in one second - measured in millions of pixels per second. The figure is calculated by multiplying the number of Render Output Units by the the card's clock speed. ROPs (Raster Operations Pipelines - also called Render Output Units) are responsible for outputting the pixels (image) to the screen. The actual pixel fill rate is also dependant on many other factors, most notably the memory bandwidth - the lower the bandwidth is, the lower the potential to reach the maximum fill rate.