Compare any two graphics cards:
Nvidia Titan X vs Radeon R9 390X 8G
IntroThe Nvidia Titan X features core clock speeds of 1417 MHz on the GPU, and 1251 MHz on the 12288 MB of GDDR5X memory. It features 3584 SPUs along with 224 Texture Address Units and 96 Rasterization Operator Units.
Compare that to the Radeon R9 390X 8G, which comes with a clock speed of 1050 MHz and a GDDR5 memory speed of 1500 MHz. It also features a 512-bit memory bus, and uses a 28 nm design. It is comprised of 2816 SPUs, 176 Texture Address Units, and 64 Raster Operation Units.
Power Usage and Theoretical Benchmarks
Power Consumption (Max TDP)
In theory, the Nvidia Titan X should perform a little bit faster than the Radeon R9 390X 8G overall. (explain)
Texel RateThe Nvidia Titan X is quite a bit (about 72%) more effective at anisotropic filtering than the Radeon R9 390X 8G. (explain)
Pixel RateIf using lots of anti-aliasing is important to you, then the Nvidia Titan X is a better choice, by far. (explain)
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.
Please note that the price comparisons are based on search keywords - sometimes it might show cards with very similar names that are not exactly the same as the one chosen in the comparison. We do try to filter out the wrong results as best we can, though.
Memory Bandwidth: Memory bandwidth is the max amount of data (counted in MB per second) that can be moved over the external memory interface in a second. The number is calculated by multiplying the card's bus width by its memory clock speed. If it uses DDR RAM, it should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the better the card will be in general. It especially helps with anti-aliasing, HDR and higher screen resolutions.
Texel Rate: Texel rate is the maximum texture map elements (texels) that can be applied in one second. This is worked out by multiplying the total amount of texture units of the card by the core 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 applied in one second.
Pixel Rate: Pixel rate is the maximum number of 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 number of Render Output Units by the clock speed of the card. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for drawing the pixels (image) on the screen. 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 get to the max fill rate.