GeForce GT 240 GDDR5 vs GeForce GT 340

Intro

Compare that to the GeForce GT 340, which features GPU core speed of 550 MHz, and 512 MB of GDDR5 RAM running at 850 MHz through a 128-bit bus. It also is made up of 96 SPUs, 32 TAUs, and 8 ROPs.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GT 340		69 Watts
GeForce GT 240 GDDR5		70 Watts
	Difference: 1 Watts (1%)

Memory Bandwidth

Both cards have exactly the same memory bandwidth, so theoretically they should have the same performance. (explain)

Texel Rate

Both cards have the exact same texel rate, so in theory they should be equally good at at anisotropic filtering. (explain)

Pixel Rate

Both cards have the exact same pixel rate, so in theory they should be equally good at at AA, and be able to handle the same screen resolutions. (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.

Price Comparison

Specifications

Memory Bandwidth: Memory bandwidth is the maximum amount of data (counted in megabytes per second) that can be transferred past the external memory interface in one second. The number is worked out by multiplying the bus width by the speed of its memory. If it uses DDR type RAM, it must be multiplied by 2 once again. If DDR5, multiply by 4 instead. The better the bandwidth is, 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 can be applied per second. This number is worked out by multiplying the total texture units by the core clock speed of the chip. The better this number, the better the video card will be at texture filtering (anisotropic filtering - AF). It is measured in millions of texels processed per second.

Pixel Rate: Pixel rate is the maximum number of pixels the graphics card could possibly record to the local memory per second - measured in millions of pixels per second. The figure is calculated by multiplying the amount 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 fill 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 ability to get to the maximum fill rate.