The i3-2100 is an older CPU that may struggle to keep up with modern games and applications. However, pairing it with the right GPU can significantly improve its performance and allow you to run games smoothly. In this article, we will provide you with recommendations for the best GPUs to pair with your i3-2100 CPU. We will discuss the features of each GPU and provide gaming benchmarks to help you make an informed decision on which GPU to choose. Whether you’re on a tight budget or looking for the latest high-performance GPU, we have options for everyone. So, let’s dive into the world of GPUs and find the perfect one to pair with your i3-2100 CPU.
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NVIDIA GeForce GT 1030
| Memory Size [VRAM] | 2 GB & 4 GB |
| Clock | 1228 MHz – 1468 MHz |
| Process Size | 14 nm |
| TDP | 30 W |
The GeForce GT 1030 is an excellent choice for pairing with the i3-2100 CPU. With a memory size of 2 GB or 4 GB and clock speeds ranging from 1228 MHz to 1468 MHz, this GPU has a processing size of 14 nm and a TDP of 30 W. In terms of gaming performance, the GT 1030 can run games at 1080p with low settings and can easily handle games like Fortnite and CS: GO without any issues.
The balance between the two-core i3-2100 CPU and the GT 1030 GPU is perfect, and there is no need to worry about bottlenecking. The GT 1030 performs well with the i3-2100, making it an ideal GPU for people looking to upgrade their system’s graphics card without breaking the bank.
NVIDIA GeForce GTX 1630
| Memory Size [VRAM] | 4 GB |
| Clock | 1740 MHz – 1785 MHz |
| Process Size | 12 nm |
| TDP | 75 W |
The GeForce GTX 1630 is an excellent choice for people looking to pair the latest GPU with the i3-2100 CPU. With a memory size of 4 GB, clock speeds ranging from 1740 MHz to 1785 MHz, and a TDP of 75 W, this GPU is the successor to the GT 1030 and offers a significant amount of power in the budget category.
While the i3-2100 is an older processor, it can still handle the GTX 1630 well, but there may be a slight bottleneck of 10 to 15%, which can be noticeable. However, the overall performance of the system is not significantly impacted, making the GTX 1630 a great choice for people looking to upgrade their GPU while staying within a budget. With the ability to run games on 1080p with medium graphics settings, the GTX 1630 offers a significant boost in gaming performance compared to the GT 1030.
AMD Radeon RX 6400
| Memory Size [VRAM] | 4 GB |
| Clock | 1923 MHz – 2039 MHz |
| Process Size | 6 nm |
| TDP | 53 W |
The Radeon RX 6400 is the latest GPU in the budget category, offering more performance compared to the GTX 1630. With a memory size of 4 GB and clock speeds ranging from 1923 MHz to 2039 MHz, this GPU has a TDP of 53 W. However, pairing it with the i3-2100 CPU can result in a noticeable bottleneck of up to 20%, which can impact overall system performance.
Despite this bottleneck, the RX 6400 can still run games at 1080p medium settings without any issues. Additionally, if you plan to upgrade your CPU in the future, the RX 6400 can handle those CPUs. Overall, the Radeon RX 6400 is an excellent choice for people looking for a budget GPU with good performance, but keep in mind the bottleneck that may occur when pairing it with the i3-2100 CPU.
Conclusion
In conclusion, choosing the right GPU for your i3-2100 CPU can be challenging, but the GT 1030, GTX 1630, and Radeon RX 6400 are all great options to consider. While the i3-2100 is an older processor, pairing it with any of these GPUs can significantly improve your gaming performance.
The GT 1030 is the most budget-friendly option, providing excellent value for its price point. The GTX 1630 is the latest GPU, offering a significant boost in gaming performance but may result in a slight bottleneck with the i3-2100 CPU. Finally, the Radeon RX 6400 offers the highest performance among these GPUs, but pairing it with the i3-2100 can result in a noticeable bottleneck.
Overall, if you are looking to upgrade your GPU and stay within a budget, any of these GPUs would be an excellent choice for pairing with your i3-2100 CPU. It’s essential to keep in mind the potential bottleneck when choosing a GPU.
