GeForce GTX 460 2GB vs Radeon R9 380 4G

Intro

Compare that to the Radeon R9 380 4G, which comes with a clock speed of 970 MHz and a GDDR5 memory frequency of 1425 MHz. It also features a 256-bit memory bus, and makes use of a 28 nm design. It is comprised of 1792 SPUs, 112 Texture Address Units, and 32 Raster Operation Units.

Display Graphs

Hide Graphs

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 460 2GB		160 Watts
Radeon R9 380 4G		190 Watts
	Difference: 30 Watts (19%)

Memory Bandwidth

Theoretically speaking, the Radeon R9 380 4G should perform much faster than the GeForce GTX 460 2GB overall. (explain)

Radeon R9 380 4G		182400 MB/sec
GeForce GTX 460 2GB		115200 MB/sec
	Difference: 67200 (58%)

Texel Rate

The Radeon R9 380 4G should be quite a bit (approximately 187%) better at texture filtering than the GeForce GTX 460 2GB. (explain)

Radeon R9 380 4G		108640 Mtexels/sec
GeForce GTX 460 2GB		37800 Mtexels/sec
	Difference: 70840 (187%)

Pixel Rate

The Radeon R9 380 4G will be quite a bit (about 44%) better at full screen anti-aliasing than the GeForce GTX 460 2GB, and also should be capable of handling higher resolutions better. (explain)

Radeon R9 380 4G		31040 Mpixels/sec
GeForce GTX 460 2GB		21600 Mpixels/sec
	Difference: 9440 (44%)

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 largest amount of information (counted in megabytes per second) that can be transferred past the external memory interface in a second. It's calculated by multiplying the card's interface width by the speed of its memory. If the card has DDR memory, it must be multiplied by 2 again. If it uses DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the faster the card will be in general. It especially helps with AA, High Dynamic Range and higher screen resolutions.

Texel Rate: Texel rate is the maximum number of texture map elements (texels) that can be applied in one 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 texture filtering (anisotropic filtering - AF). It is measured in millions of texels applied in one second.

Pixel Rate: Pixel rate is the maximum amount of pixels the graphics card can possibly record to its local memory in a second - measured in millions of pixels per second. Pixel rate is worked out by multiplying the number of Render Output Units 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 rate is also dependant on many other factors, most notably the memory bandwidth - the lower the memory bandwidth is, the lower the ability to get to the max fill rate.