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GeForce GTX 570 vs GeForce GTX 650 Ti 2GB

Intro

The GeForce GTX 570 has clock speeds of 732 MHz on the GPU, and 950 MHz on the 1280 MB of GDDR5 memory. It features 480 SPUs along with 60 TAUs and 40 Rasterization Operator Units.

Compare those specs to the GeForce GTX 650 Ti 2GB, which uses a 28 nm design. nVidia has set the core speed at 928 MHz. The GDDR5 memory is set to run at a speed of 1350 MHz on this particular model. It features 768 SPUs as well as 64 TAUs and 16 Rasterization Operator Units.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 650 Ti 2GB 110 Watts
GeForce GTX 570 219 Watts
Difference: 109 Watts (99%)

Memory Bandwidth

As far as performance goes, the GeForce GTX 570 should theoretically be much better than the GeForce GTX 650 Ti 2GB overall. (explain)

GeForce GTX 570 152000 MB/sec
GeForce GTX 650 Ti 2GB 86400 MB/sec
Difference: 65600 (76%)

Texel Rate

The GeForce GTX 650 Ti 2GB should be a lot (more or less 35%) better at anisotropic filtering than the GeForce GTX 570. (explain)

GeForce GTX 650 Ti 2GB 59392 Mtexels/sec
GeForce GTX 570 43920 Mtexels/sec
Difference: 15472 (35%)

Pixel Rate

The GeForce GTX 570 should be much (more or less 97%) better at anti-aliasing than the GeForce GTX 650 Ti 2GB, and also should be able to handle higher resolutions while still performing well. (explain)

GeForce GTX 570 29280 Mpixels/sec
GeForce GTX 650 Ti 2GB 14848 Mpixels/sec
Difference: 14432 (97%)

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

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GeForce GTX 570

Amazon.com

GeForce GTX 650 Ti 2GB

Amazon.com

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.

Specifications

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Model GeForce GTX 570 GeForce GTX 650 Ti 2GB
Manufacturer nVidia nVidia
Year December 2010 October 2012
Code Name GF110 GK106
Memory 1280 MB 2048 MB
Core Speed 732 MHz 928 MHz
Memory Speed 3800 MHz 5400 MHz
Power (Max TDP) 219 watts 110 watts
Bandwidth 152000 MB/sec 86400 MB/sec
Texel Rate 43920 Mtexels/sec 59392 Mtexels/sec
Pixel Rate 29280 Mpixels/sec 14848 Mpixels/sec
Unified Shaders 480 768
Texture Mapping Units 60 64
Render Output Units 40 16
Bus Type GDDR5 GDDR5
Bus Width 320-bit 128-bit
Fab Process 40 nm 28 nm
Transistors 3000 million 2540 million
Bus PCIe x16 PCIe 3.0 x16
DirectX Version DirectX 11 DirectX 11.0
OpenGL Version OpenGL 4.1 OpenGL 4.3

Memory Bandwidth: Bandwidth is the max amount of data (counted in MB per second) that can be moved over the external memory interface within a second. It's calculated by multiplying the bus width by its memory speed. In the case of DDR memory, the result should be multiplied by 2 again. If it uses DDR5, multiply by ANOTHER 2x. The higher the bandwidth is, the better 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 amount of texture map elements (texels) that can be applied per second. This number is calculated by multiplying the total texture units of the card by the core speed of the chip. The higher the texel rate, the better the 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 number of pixels the graphics card can possibly write to the local memory in a second - measured in millions of pixels per second. Pixel rate is calculated by multiplying the number of Render Output Units by the the core speed of the card. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for outputting the pixels (image) to the screen. The actual pixel output rate is also dependant on lots of other factors, especially the memory bandwidth - the lower the memory bandwidth is, the lower the potential to get to the maximum fill rate.

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