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GeForce GT 430 vs GeForce GTS 250 1GB

Intro

The GeForce GT 430 has a GPU clock speed of 700 MHz, and the 512 MB of GDDR3 memory is set to run at 900 MHz through a 128-bit bus. It also is comprised of 96 Stream Processors, 16 TAUs, and 4 Raster Operation Units.

Compare those specifications to the GeForce GTS 250 1GB, which makes use of a 65/55 nm design. nVidia has set the core speed at 738 MHz. The GDDR3 memory runs at a frequency of 1100 MHz on this model. It features 128 SPUs along with 64 TAUs and 16 Rasterization Operator Units.

(No game benchmarks for this combination yet.)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GT 430 60 Watts
GeForce GTS 250 1GB 145 Watts
Difference: 85 Watts (142%)

Memory Bandwidth

Theoretically speaking, the GeForce GTS 250 1GB should be 144% quicker than the GeForce GT 430 in general, due to its greater data rate. (explain)

GeForce GTS 250 1GB 70400 MB/sec
GeForce GT 430 28800 MB/sec
Difference: 41600 (144%)

Texel Rate

The GeForce GTS 250 1GB should be much (approximately 322%) faster with regards to texture filtering than the GeForce GT 430. (explain)

GeForce GTS 250 1GB 47232 Mtexels/sec
GeForce GT 430 11200 Mtexels/sec
Difference: 36032 (322%)

Pixel Rate

If using lots of anti-aliasing is important to you, then the GeForce GTS 250 1GB is the winner, by far. (explain)

GeForce GTS 250 1GB 11808 Mpixels/sec
GeForce GT 430 2800 Mpixels/sec
Difference: 9008 (322%)

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 GT 430

Amazon.com

GeForce GTS 250 1GB

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 GT 430 GeForce GTS 250 1GB
Manufacturer nVidia nVidia
Year October 2010 March 3, 2009
Code Name GF108 G92a/b
Fab Process 40 nm 65/55 nm
Bus PCIe x16 PCIe x16 2.0
Memory 512 MB 1024 MB
Core Speed 700 MHz 738 MHz
Shader Speed 1400 MHz 1836 MHz
Memory Speed 900 MHz (1800 MHz effective) 1100 MHz (2200 MHz effective)
Unified Shaders 96 128
Texture Mapping Units 16 64
Render Output Units 4 16
Bus Type GDDR3 GDDR3
Bus Width 128-bit 256-bit
DirectX Version DirectX 11 DirectX 10
OpenGL Version OpenGL 4.1 OpenGL 3.1
Power (Max TDP) 60 watts 145 watts
Shader Model 5.0 4.0
Bandwidth 28800 MB/sec 70400 MB/sec
Texel Rate 11200 Mtexels/sec 47232 Mtexels/sec
Pixel Rate 2800 Mpixels/sec 11808 Mpixels/sec

Memory Bandwidth: Memory bandwidth is the max amount of data (in units of MB per second) that can be moved over the external memory interface within a second. The number is calculated by multiplying the interface width by its memory clock speed. If it uses DDR type memory, the result should be multiplied by 2 once again. If it uses DDR5, multiply by 4 instead. The better the card's memory bandwidth, the better the card will be in general. It especially helps with AA, 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 texture units of the card by the core clock speed of the chip. The better the texel rate, the better the graphics card will be at texture filtering (anisotropic filtering - AF). It is measured in millions of texels processed in one second.

Pixel Rate: Pixel rate is the most pixels the video card can possibly record to the local memory per second - measured in millions of pixels per second. Pixel rate is worked out by multiplying the number of Render Output Units by the the card's clock speed. ROPs (Raster Operations Pipelines - sometimes also referred to as 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, most notably the memory bandwidth of the card - the lower the memory bandwidth is, the lower the potential to get to the max fill rate.

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