GeForce GTX 1050 vs Radeon R9 Nano

Intro

Compare those specifications to the Radeon R9 Nano, which features a core clock speed of 1000 MHz and a HBM memory frequency of 500 MHz. It also uses a 4096-bit bus, and makes use of a 28 nm design. It features 4096 SPUs, 256 TAUs, and 64 ROPs.

Display Graphs

Hide Graphs

Benchmarks

These are real-world performance benchmarks that were submitted by Hardware Compare users. The scores seen here are the average of all benchmarks submitted for each respective test and hardware.

3DMark Fire Strike Graphics Score

Radeon R9 Nano		14918 points
GeForce GTX 1050		6657 points
	Difference: 8261 (124%)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

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

Memory Bandwidth

Theoretically speaking, the Radeon R9 Nano is 346% faster than the GeForce GTX 1050 in general, due to its greater bandwidth. (explain)

Radeon R9 Nano		512000 MB/sec
GeForce GTX 1050		114688 MB/sec
	Difference: 397312 (346%)

Texel Rate

The Radeon R9 Nano is a lot (more or less 373%) better at texture filtering than the GeForce GTX 1050. (explain)

Radeon R9 Nano		256000 Mtexels/sec
GeForce GTX 1050		54160 Mtexels/sec
	Difference: 201840 (373%)

Pixel Rate

The Radeon R9 Nano will be a lot (about 48%) faster with regards to full screen anti-aliasing than the GeForce GTX 1050, and also able to handle higher screen resolutions more effectively. (explain)

Radeon R9 Nano		64000 Mpixels/sec
GeForce GTX 1050		43328 Mpixels/sec
	Difference: 20672 (48%)

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 MB per second) that can be transported across the external memory interface within a second. It is worked out by multiplying the interface width by its memory clock speed. If the card has DDR type memory, it must be multiplied by 2 once again. If it uses DDR5, multiply by 4 instead. The better the memory bandwidth, the faster the card will be in general. It especially helps with AA, HDR and higher screen resolutions.

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

Pixel Rate: Pixel rate is the maximum amount of pixels the video card can possibly record to the local memory per second - measured in millions of pixels per second. The figure is calculated by multiplying the amount of colour ROPs by the the core 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 quite a few other factors, most notably the memory bandwidth - the lower the memory bandwidth is, the lower the potential to reach the maximum fill rate.