Radeon R9 M390X vs Radeon R9 Nano

Intro

Compare those specifications to the Radeon R9 Nano, which uses a 28 nm design. AMD has set the core speed at 1000 MHz. The HBM memory works at a frequency of 500 MHz on this particular 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 M390X		125 Watts
Radeon R9 Nano		175 Watts
	Difference: 50 Watts (40%)

Memory Bandwidth

Theoretically speaking, the Radeon R9 Nano should be 220% faster than the Radeon R9 M390X overall, because of its greater bandwidth. (explain)

Radeon R9 Nano		512000 MB/sec
Radeon R9 M390X		160000 MB/sec
	Difference: 352000 (220%)

Texel Rate

The Radeon R9 Nano should be a lot (about 177%) more effective at texture filtering than the Radeon R9 M390X. (explain)

Radeon R9 Nano		256000 Mtexels/sec
Radeon R9 M390X		92544 Mtexels/sec
	Difference: 163456 (177%)

Pixel Rate

If running with lots of anti-aliasing is important to you, then the Radeon R9 Nano is a better choice, by far. (explain)

Radeon R9 Nano		64000 Mpixels/sec
Radeon R9 M390X		23136 Mpixels/sec
	Difference: 40864 (177%)

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 (in units of MB per second) that can be moved over the external memory interface in a second. It is calculated by multiplying the card's bus width by its memory clock speed. If the card has DDR type RAM, the result should be multiplied by 2 once again. If it uses DDR5, multiply by 4 instead. The higher the card's memory bandwidth, the faster 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 number of texture map elements (texels) that can be applied per second. This number is calculated 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 processed in a second.

Pixel Rate: Pixel rate is the maximum number of pixels the video card could 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 Raster Operations Pipelines by the the core speed of the card. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for outputting the pixels (image) to the screen. The actual pixel output rate is also dependant on many other factors, most notably the memory bandwidth of the card - the lower the memory bandwidth is, the lower the potential to reach the maximum fill rate.