GeForce GTX 650 Ti 2GB vs Radeon R9 M365X

Intro

Compare those specs to the Radeon R9 M365X, which features core clock speeds of 925 MHz on the GPU, and 1125 MHz on the 4096 MB of GDDR5 memory. It features 640 SPUs along with 40 Texture Address Units and 16 Rasterization Operator Units.

Display Graphs

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Power Usage and Theoretical Benchmarks

Memory Bandwidth

As far as performance goes, the GeForce GTX 650 Ti 2GB should in theory be just a bit superior to the Radeon R9 M365X overall. (explain)

GeForce GTX 650 Ti 2GB		86400 MB/sec
Radeon R9 M365X		72000 MB/sec
	Difference: 14400 (20%)

Texel Rate

The GeForce GTX 650 Ti 2GB should be quite a bit (about 61%) faster with regards to anisotropic filtering than the Radeon R9 M365X. (explain)

GeForce GTX 650 Ti 2GB		59392 Mtexels/sec
Radeon R9 M365X		37000 Mtexels/sec
	Difference: 22392 (61%)

Pixel Rate

The GeForce GTX 650 Ti 2GB should be a little bit (about 0%) more effective at AA than the Radeon R9 M365X, and also should be capable of handling higher screen resolutions while still performing well. (explain)

GeForce GTX 650 Ti 2GB		14848 Mpixels/sec
Radeon R9 M365X		14800 Mpixels/sec
	Difference: 48 (0%)

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 moved across the external memory interface in a second. It is calculated by multiplying the bus width by its memory clock speed. If the card has DDR type RAM, the result should be multiplied by 2 again. If it uses DDR5, multiply by ANOTHER 2x. The better the bandwidth is, the faster the card will be in general. It especially helps with anti-aliasing, High Dynamic Range and higher screen resolutions.

Texel Rate: Texel rate is the maximum amount of texture map elements (texels) that are applied per second. This number is worked out by multiplying the total number 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 handling texture filtering (anisotropic filtering - AF). It is measured in millions of texels processed in a second.

Pixel Rate: Pixel rate is the maximum amount of pixels that the graphics chip could possibly record to the local memory per second - measured in millions of pixels per second. The figure is calculated by multiplying the amount of Raster Operations Pipelines by the the core clock speed. ROPs (Raster Operations Pipelines - also called Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel fill rate also depends on many other factors, most notably the memory bandwidth - the lower the memory bandwidth is, the lower the potential to reach the max fill rate.