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GeForce GTX 460 2GB vs Radeon HD 5850
Intro
The GeForce GTX 460 2GB has a core clock frequency of 675 MHz and a GDDR5 memory frequency of 900 MHz. It also features a 256-bit bus, and makes use of a 40 nm design. It features 336 SPUs, 56 TAUs, and 32 ROPs.Compare that to the Radeon HD 5850, which comes with core clock speeds of 725 MHz on the GPU, and 1000 MHz on the 1024 MB of GDDR5 RAM. It features 1440(288x5) SPUs as well as 72 Texture Address Units and 32 Rasterization Operator Units.
Power Usage and Theoretical Benchmarks
Power Consumption (Max TDP)
| Radeon HD 5850 |
|
151 Watts |
| GeForce GTX 460 2GB |
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160 Watts |
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Memory Bandwidth
Theoretically speaking, the Radeon HD 5850 will be 11% faster than the GeForce GTX 460 2GB overall, because of its greater bandwidth. (explain)
| Radeon HD 5850 |
|
128000 MB/sec |
| GeForce GTX 460 2GB |
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115200 MB/sec |
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Texel Rate
The Radeon HD 5850 should be quite a bit (more or less 38%) better at texture filtering than the GeForce GTX 460 2GB. (explain)| Radeon HD 5850 |
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52200 Mtexels/sec |
| GeForce GTX 460 2GB |
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37800 Mtexels/sec |
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Pixel Rate
The Radeon HD 5850 is just a bit (about 7%) faster with regards to anti-aliasing than the GeForce GTX 460 2GB, and should be capable of handling higher screen resolutions more effectively. (explain)| Radeon HD 5850 |
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23200 Mpixels/sec |
| GeForce GTX 460 2GB |
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21600 Mpixels/sec |
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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
Please note that the price comparisons are based on search keywords, and might not be the exact same card listed on this page. We have no control over the accuracy of their search results.
GeForce GTX 460 2GBAmazon.com
Other US-based stores
Amazon.co.uk
Amazon.de
Amazon.fr
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Radeon HD 5850Amazon.com
Other US-based stores
Amazon.co.uk
Amazon.de
Amazon.fr
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Specifications
| Model | GeForce GTX 460 2GB | Radeon HD 5850 |
|---|---|---|
| Manufacturer | nVidia | ATi |
| Year | July 2010 | September 30, 2009 |
| Code Name | GF104 | Cypress PRO |
| Fab Process | 40 nm | 40 nm |
| Bus | PCIe x16 | PCIe 2.1 x16 |
| Memory | 2048 MB | 1024 MB |
| Core Speed | 675 MHz | 725 MHz |
| Shader Speed | 1350 MHz | (N/A) MHz |
| Memory Speed | 900 MHz | 1000 MHz |
| Unified Shaders | 336 | 1440(288x5) |
| Texture Mapping Units | 56 | 72 |
| Render Output Units | 32 | 32 |
| Bus Type | GDDR5 | GDDR5 |
| Bus Width | 256-bit | 256-bit |
| DirectX Version | DirectX 11 | DirectX 11 |
| OpenGL Version | OpenGL 4.1 | OpenGL 3.2 |
| Power (Max TDP) | 160 watts | 151 watts |
| Shader Model | 5.0 | 5.0 |
| Bandwidth | 115200 MB/sec | 128000 MB/sec |
| Texel Rate | 37800 Mtexels/sec | 52200 Mtexels/sec |
| Pixel Rate | 21600 Mpixels/sec | 23200 Mpixels/sec |
Memory Bandwidth: Memory bandwidth is the largest amount of information (counted in megabytes per second) that can be transported past the external memory interface in a second. The number is worked out by multiplying the card's bus width by its memory clock speed. In the case of DDR RAM, it must be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The higher the card's memory bandwidth, the faster the card will be in general. It especially helps with anti-aliasing, High Dynamic Range and high resolutions.
Texel Rate: Texel rate is the maximum texture map elements (texels) that are applied per second. This is worked out by multiplying the total number of texture units of the card by the core speed of the chip. The better this number, the better the card will be at 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 can possibly write to the local memory in one second - measured in millions of pixels per second. The number is worked out 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 is also dependant on many other factors, most notably the memory bandwidth - the lower the bandwidth is, the lower the potential to reach the maximum fill rate.
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