But do we actually need 128MB of graphics memory, or is this one of those cases where the marketing folks are trying to sell consumers on anything with a higher number? My curiosity got the better of me, and I just had to find out. I grabbed 64 and 128MB cards from both ATI and NVIDIA and put them through the wringer to see just where extra graphics memory can benefit performance.
Do you really need 128MB of graphics memory, or is it all just a lot of hype and hot air? Let's find out.
For a comparison of graphics memory size to work, we need to use cards that feature the same GPU, running at the same speed, with the only difference being the amount of actual video RAM on board. Fortunately, with a little overclocking and underclocking, I was able to come up with a two pairs of cards to compare. We're going to be limited to comparing cards with 64 and 128MB of graphics memory, because that's really all that's available with common graphics cores.
In the NVIDIA corner, we have a couple of GeForce4 Ti 4200s running at 250/250MHz for their core and memory clocks. Running a GeForce4 Ti 4200 128MB with a 250MHz memory bus requires a little overclocking, since the GeForce4 Ti 4200 128MB's memory bus is supposed to run at 222MHz. The 64MB version, meanwhile, runs stock with 250MHz memory. Overclocking is necessary here to isolate memory size as a variable for the purposes of this article. This isn't a review of 64 vs 128MB cards, but more of a generalized comparison of different graphics memory sizes. You can check out our initial GeForce4 Ti 4200 review or our subsequent round-up of different GeForce4 Ti 4200 cards for benchmarks and analysis of cards running at stock speeds.
ATI's entries in the mix are a couple of Radeon 8500LE cards that run at 250/250MHz by default.
With both sets of cards running at 250/250MHz, it's worth taking a look at some theoretical fill rates and memory bandwidth. The following numbers aren't affected by graphics memory size, but they will help us explain some of the results of our testing.
|Core clock (MHz)||Pixel pipelines||Peak fill rate (Mpixels/s)||Texture units per pixel pipeline||Peak fill rate (Mtexels/s)||Memory clock (MHz)||Memory bus width (bits)||Peak memory bandwidth (GB/s)|
|GeForce4 Ti 4200 64MB||250||4||1000||2||2000||500||128||8.0|
|GeForce4 Ti 4200 128MB||250||4||1000||2||2000||500||128||8.0|
|Radeon 8500LE 64MB||250||4||1000||2||2000||500||128||8.0|
|Radeon 8500LE 128MB||250||4||1000||2||2000||500||128||8.0|
As you can see, all the cards we're testing have identical fill rates and available memory bandwidth. However, don't expect the performance of the NVIDIA and ATI cards to be equal. There's a lot more to actual performance than theoretical fill rates and memory bandwidth, and the subtleties of each chip architecture will come into play heavily when we start generating actual frame rates.
Keep in mind that this article intends to compare graphics memory size, not the merits of different GPUs. We've done enough articles here at TR that explore the Radeon 8500 and GeForce4 Ti 4200 in great detail, and graphics memory size deserves its own spotlight.
Competing for resources
The memory on a graphics card stores a whole lot more than just textures. In fact, there are a number of different players all vying for a piece of the action. Here are a few of them:
Frame buffer size = X-size * Y-size * color depthX and Y sizes are measured in pixels, and the color depth refers to the number of bytes per pixel required to store color information. So, for a 1600x1200 screen resolution with 32-bit color, the total memory requirement for the frame buffer works out to 7.68MB.
Unlike the frame and back buffers, the Z-buffer can be compressed, so the our formula isn't going to give us the exact memory footprint for all cards and conditions.
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