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GeForce 8800 GTX vs Geforce GTX 680

Intro

The GeForce 8800 GTX makes use of a 90 nm design. nVidia has clocked the core frequency at 575 MHz. The GDDR3 memory works at a frequency of 900 MHz on this specific model. It features 128 SPUs along with 64 Texture Address Units and 24 Rasterization Operator Units.

Compare those specifications to the Geforce GTX 680, which makes use of a 28 nm design. nVidia has set the core frequency at 1006 MHz. The GDDR5 RAM works at a speed of 1502 MHz on this particular model. It features 1536 SPUs as well as 128 Texture Address Units and 32 Rasterization Operator Units.

(No game benchmarks for this combination yet.)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce 8800 GTX 155 Watts
Geforce GTX 680 195 Watts
Difference: 40 Watts (26%)

Memory Bandwidth

As far as performance goes, the Geforce GTX 680 should theoretically be a lot superior to the GeForce 8800 GTX overall. (explain)

Geforce GTX 680 192256 MB/sec
GeForce 8800 GTX 86400 MB/sec
Difference: 105856 (123%)

Texel Rate

The Geforce GTX 680 will be much (about 250%) faster with regards to AF than the GeForce 8800 GTX. (explain)

Geforce GTX 680 128768 Mtexels/sec
GeForce 8800 GTX 36800 Mtexels/sec
Difference: 91968 (250%)

Pixel Rate

The Geforce GTX 680 will be much (about 133%) better at FSAA than the GeForce 8800 GTX, and capable of handling higher screen resolutions without losing too much performance. (explain)

Geforce GTX 680 32192 Mpixels/sec
GeForce 8800 GTX 13800 Mpixels/sec
Difference: 18392 (133%)

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

GeForce 8800 GTX

Amazon.com

Geforce GTX 680

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

Model GeForce 8800 GTX Geforce GTX 680
Manufacturer nVidia nVidia
Year Nov 2006 March 2012
Code Name G80 GK104
Fab Process 90 nm 28 nm
Bus PCIe x16 PCIe 3.0 x16
Memory 768 MB 2048 MB
Core Speed 575 MHz 1006 MHz
Shader Speed 1350 MHz 1006 MHz
Memory Speed 900 MHz (1800 MHz effective) 1502 MHz (6008 MHz effective)
Unified Shaders 128 1536
Texture Mapping Units 64 128
Render Output Units 24 32
Bus Type GDDR3 GDDR5
Bus Width 384-bit 256-bit
DirectX Version DirectX 10 DirectX 11.0
OpenGL Version OpenGL 3.0 OpenGL 4.2
Power (Max TDP) 155 watts 195 watts
Shader Model 4.0 5.0
Bandwidth 86400 MB/sec 192256 MB/sec
Texel Rate 36800 Mtexels/sec 128768 Mtexels/sec
Pixel Rate 13800 Mpixels/sec 32192 Mpixels/sec

Memory Bandwidth: Memory bandwidth is the largest amount of information (counted in MB per second) that can be transported across the external memory interface within a second. It is worked out by multiplying the interface width by the speed of its memory. If it uses DDR type memory, it should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The better the card's memory bandwidth, 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 texture map elements (texels) that are processed per second. This number is calculated by multiplying the total texture units of the card by the core speed of the chip. The better the texel rate, 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 most pixels that the graphics card can possibly record to its local memory in a second - measured in millions of pixels per second. The figure is worked out by multiplying the amount of ROPs by the the core speed of the card. ROPs (Raster Operations Pipelines - also sometimes called Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel fill rate also depends on lots of other factors, especially the memory bandwidth of the card - the lower the bandwidth is, the lower the potential to reach the maximum fill rate.

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