Radeon R5 M330 vs Radeon R9 380 4G

Intro

Compare that to the Radeon R9 380 4G, which comes with GPU core speed of 970 MHz, and 4096 MB of GDDR5 memory set to run at 1425 MHz through a 256-bit bus. It also is made up of 1792 Stream Processors, 112 TAUs, and 32 ROPs.

Display Graphs

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Power Usage and Theoretical Benchmarks

Memory Bandwidth

As far as performance goes, the Radeon R9 380 4G should in theory be a lot superior to the Radeon R5 M330 in general. (explain)

Radeon R9 380 4G		182400 MB/sec
Radeon R5 M330		14400 MB/sec
	Difference: 168000 (1167%)

Texel Rate

The Radeon R9 380 4G will be much (more or less 427%) more effective at texture filtering than the Radeon R5 M330. (explain)

Radeon R9 380 4G		108640 Mtexels/sec
Radeon R5 M330		20600 Mtexels/sec
	Difference: 88040 (427%)

Pixel Rate

The Radeon R9 380 4G will be much (about 277%) more effective at anti-aliasing than the Radeon R5 M330, and will be able to handle higher screen resolutions without slowing down too much. (explain)

Radeon R9 380 4G		31040 Mpixels/sec
Radeon R5 M330		8240 Mpixels/sec
	Difference: 22800 (277%)

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 maximum amount of information (in units of megabytes per second) that can be moved past the external memory interface within a second. It is calculated by multiplying the card's bus width by its memory speed. In the case of DDR type RAM, it should be multiplied by 2 again. If DDR5, multiply by 4 instead. 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 texture map elements (texels) that are applied per 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 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 most pixels the video card could possibly write to its local memory in a second - measured in millions of pixels per second. The figure is calculated by multiplying the amount of Render Output Units by the the core speed of the card. ROPs (Raster Operations Pipelines - sometimes also referred to as Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel rate also depends on lots of other factors, especially the memory bandwidth - the lower the bandwidth is, the lower the potential to reach the maximum fill rate.