GeForce GT 340 vs Radeon R9 390 8G

Intro

Compare all of that to the Radeon R9 390 8G, which features clock speeds of 1000 MHz on the GPU, and 1500 MHz on the 8192 MB of GDDR5 memory. It features 2560 SPUs as well as 160 Texture Address Units and 64 ROPs.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GT 340		69 Watts
Radeon R9 390 8G		275 Watts
	Difference: 206 Watts (299%)

Memory Bandwidth

Performance-wise, the Radeon R9 390 8G should theoretically be much better than the GeForce GT 340 in general. (explain)

Radeon R9 390 8G		384000 MB/sec
GeForce GT 340		54400 MB/sec
	Difference: 329600 (606%)

Texel Rate

The Radeon R9 390 8G should be quite a bit (approximately 809%) more effective at anisotropic filtering than the GeForce GT 340. (explain)

Radeon R9 390 8G		160000 Mtexels/sec
GeForce GT 340		17600 Mtexels/sec
	Difference: 142400 (809%)

Pixel Rate

The Radeon R9 390 8G will be quite a bit (more or less 1355%) more effective at full screen anti-aliasing than the GeForce GT 340, and also will be capable of handling higher screen resolutions without losing too much performance. (explain)

Radeon R9 390 8G		64000 Mpixels/sec
GeForce GT 340		4400 Mpixels/sec
	Difference: 59600 (1355%)

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 transferred across the external memory interface within a second. The number is worked out by multiplying the interface width by the speed of its memory. If it uses DDR type memory, the result should be multiplied by 2 again. If it uses DDR5, multiply by ANOTHER 2x. The better the bandwidth is, the better 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 are applied per second. This figure is calculated by multiplying the total amount of texture units by the core speed of the chip. The higher the texel rate, the better the 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 most pixels that the graphics card can possibly write to its local memory in a second - measured in millions of pixels per second. Pixel rate is calculated by multiplying the number of colour ROPs by the the core speed of the card. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel output rate is also dependant on quite a few other factors, especially the memory bandwidth - the lower the bandwidth is, the lower the ability to reach the maximum fill rate.