The_Absolute said:I was thinking about upgrading my computer's graphics card for christmas. According to my research, the two fastest single-core graphics cards that are out today are the ATI Radeon 4890, and the NVidia Geforce GTX 285. But I don't know which one is the fastest. How much of a performance improvement will upgrading from my Radeon HD 4850 (single core) to either one of those cards?
The_Absolute said:I am afraid that my Intel Core 2 Quad Q9400 (2.66 GHz) will bottleneck a single GTX 285 or HD 4890. It's probably already bottlenecking the HD 4850 it has in there right now. My relatively wealthy parents are extremely frugal, and I was lucky as heck to get the computer that I did. Knowing from experience, I probably will not be getting another one for many, many years. I am also terrified to overclock my processor because I have been told that overclocking can be extremely dangerous if you do not really know what you are doing. I'd like to overclock my C2Q Q9400 from 2.66 GHz to 3.00, which is a 340 MHz overclock. It is using it's stock cooler air cooler, which are not very good from what I have heard. Overclocking can cause your computer not to boot, constantly crash, become unstable, overheat, corrupt your system, etc... It requires an expert knowledge of computer science and electronic engineering to do so safely and correctly. Besides, I don't believe that my PC came with any type of CPU overclocking software whatsoever. If I overclocked, it would the warranty would probably instantly be completely voided if I moved the slider left or right.
My Radeon HD 4850 idles at about 90 degrees celcius, and operates at 100-120 under load with it's stock cooler. Can I run my C2Q from 2.66 GHz to just 3.00 with it's stock cooler? I mean, it's not like I'm clocking it to 4.0 GHz or anything.
Oh, and I don't know if a GTX 285 will fit in my case. I believe it would be blocked by the extra hard disk bays that I will probably never use. I have never actually seen a GTX 285 so I wouldn't know how large it is. I have also never taken any measurements of the inside of my case and compared them to the dimensions of the upgrades I want to see if they would physically fit. I was thinking about getting a Fatal1ty X-Fi gaming sound card and the "Killer NIC M1" gaming network card but the PCIe x16 and either the PCIe x1 or the PCI slots are too close to each other and probably, from my guess, would not fit. With pre-built, budget gaming computers, companies usually throw in cheap motherboards, power supplies, etc to keep the price down.
I would take a picture of the inside of my computer with my digital camera and post it here but my brother currently has it and I would have to get it back from him.
A single-core GPU, or graphics processing unit, is a specialized microprocessor designed for handling and accelerating graphics and visual computing tasks. Unlike a CPU, which has multiple cores for processing tasks, a single-core GPU has a single core that is optimized for graphics processing.
The purpose of a single-core GPU is to handle complex and intensive graphics tasks, such as rendering images and videos, in real-time. This allows for a smoother and more realistic visual experience when using computer applications or playing video games.
As of 2021, the fastest single-core GPU available on the market is the Nvidia GeForce RTX 3090. It has a base clock speed of 1.4 GHz and a boost clock speed of 1.7 GHz, making it capable of handling the most demanding graphics tasks with ease.
The speed of a single-core GPU is typically much faster than a multi-core CPU when it comes to graphics processing tasks. This is because the single-core GPU is specifically designed and optimized for these tasks, while a multi-core CPU has to divide its processing power among various tasks.
While single-core GPUs excel at handling graphics tasks, they may not be as effective for other types of computing tasks, such as data processing or general computing. Additionally, a single-core GPU may not be suitable for running multiple graphics-heavy applications at once, as it may not have enough processing power to handle them simultaneously.