When it comes to selecting a graphics card for your PC, the options can be overwhelming. With so many models and brands available, it’s essential to make an informed decision to ensure you get the best performance for your buck. In this article, we’ll delve into the world of NVIDIA graphics cards and compare two popular models: the MX150 and GTX 750. Which one is better, and what are the key differences between them? Let’s dive in and find out!
Understanding the NVIDIA MX150 and GTX 750
Before we dive into the nitty-gritty details, let’s take a step back and understand what these graphics cards are all about.
NVIDIA MX150
The NVIDIA MX150 is a popular mid-range graphics card designed for laptops and compact desktops. It’s a power-efficient GPU that’s perfect for casual gaming, video editing, and other resource-intensive tasks. The MX150 is based on the Pascal architecture and features 384 CUDA cores, 16 ROPs, and a 64-bit memory bus. It has a base clock speed of 1468 MHz, with a boost clock speed of up to 1657 MHz.
NVIDIA GTX 750
The NVIDIA GTX 750, on the other hand, is a higher-end graphics card that’s part of the GeForce GTX 700 series. It’s a more powerful GPU that’s designed for serious gamers and content creators. The GTX 750 is based on the Kepler architecture and features 512 CUDA cores, 32 ROPs, and a 128-bit memory bus. It has a base clock speed of 1020 MHz, with a boost clock speed of up to 1085 MHz.
Performance Comparison: MX150 vs GTX 750
Now that we’ve covered the basics, let’s compare the performance of these two graphics cards. In this section, we’ll look at some benchmarks, games, and other resource-intensive applications to see which GPU comes out on top.
3DMark Benchmarks
3DMark is a popular benchmarking tool that tests a GPU’s performance in various scenarios. Here are the results for the MX150 and GTX 750:
| Graphics Card | 3DMark Fire Strike Score | 3DMark Time Spy Score |
|---|---|---|
| NVIDIA MX150 | 3500-4000 | 1500-1700 |
| NVIDIA GTX 750 | 5500-6000 | 2500-2800 |
As you can see, the GTX 750 outperforms the MX150 in both Fire Strike and Time Spy tests. This is due to the GTX 750’s higher CUDA core count, higher clock speeds, and wider memory bus.
Gaming Performance
Let’s take a look at how these graphics cards perform in some popular games.
| Game | NVIDIA MX150 FPS (1080p, Medium Settings) | NVIDIA GTX 750 FPS (1080p, Medium Settings) |
|---|---|---|
| Fortnite | 40-50 | 60-70 |
| Overwatch | 30-40 | 50-60 |
| The Witcher 3 | 20-30 | 40-50 |
In general, the GTX 750 outperforms the MX150 in most games, especially at higher resolutions and detail settings. However, the MX150 still manages to deliver playable frame rates in most titles.
Power Consumption and Heat
Power consumption and heat generation are crucial factors to consider when choosing a graphics card.
Power Consumption
The NVIDIA MX150 has a TDP (Thermal Design Power) of 25W, making it a very power-efficient GPU. In contrast, the GTX 750 has a TDP of 55W, which is significantly higher.
Heat Generation
Due to its lower power consumption, the MX150 generates less heat than the GTX 750. This makes it a great option for compact laptops and desktops where cooling can be a challenge.
Conclusion
So, is the MX150 better than the GTX 750? The answer depends on your specific needs and preferences. If you’re looking for a power-efficient GPU for casual gaming and everyday tasks, the MX150 is an excellent choice. However, if you’re a serious gamer or content creator who needs more processing power, the GTX 750 is a better option.
Key Takeaways:
- The GTX 750 outperforms the MX150 in most benchmarks and games.
- The MX150 is more power-efficient and generates less heat.
- The GTX 750 is a better option for serious gamers and content creators.
- The MX150 is ideal for casual gaming, video editing, and everyday tasks.
Ultimately, the choice between the MX150 and GTX 750 depends on your specific requirements and budget. By understanding the strengths and weaknesses of each GPU, you can make an informed decision that meets your needs.
What are the key differences between MX150 and GTX 750?
The MX150 and GTX 750 are two distinct graphics cards from different generations and vendors. The MX150 is a mid-range laptop graphics card from NVIDIA, while the GTX 750 is a budget to mid-range desktop graphics card from the same vendor. The MX150 is built on the Pascal architecture, whereas the GTX 750 is based on the Kepler architecture. This difference in architecture results in varying performance, power consumption, and features.
The MX150 has 640 CUDA cores, 64-bit memory bus, and 2GB of GDDR5 memory, whereas the GTX 750 has 512 CUDA cores, 128-bit memory bus, and 1GB of GDDR5 memory. The MX150 also supports newer technologies like DirectX 12, Vulkan, and NVIDIA Optimus, which are absent in the GTX 750. These differences impact their performance, power efficiency, and compatibility with modern games and applications.
Which graphics card is better for gaming?
The GTX 750 was a decent gaming graphics card in its time, but it has been surpassed by modern graphics cards like the MX150. The MX150 offers better performance and efficiency, making it a more suitable choice for modern gaming. The MX150 can handle modern games at 1080p resolution with medium to high graphics settings, whereas the GTX 750 struggles with the same tasks.
However, it’s essential to note that both graphics cards are not ideal for 4K gaming or playing games with very high graphics settings. If you’re looking for a more powerful graphics card for serious gaming, you may want to consider more modern options like the GTX 1660 or RTX 2060.
Can I use MX150 for mining cryptocurrency?
The MX150 is not a suitable graphics card for cryptocurrency mining. While it has a reasonable number of CUDA cores and memory, its power consumption and performance are not optimized for mining. The MX150 is designed for laptop gaming and general computing tasks, not for heavy workloads like cryptocurrency mining.
In contrast, dedicated mining graphics cards like the NVIDIA P106 or AMD Radeon RX 470 are much more suitable for mining. These cards are designed specifically for mining, offering higher hash rates, lower power consumption, and better durability.
Is GTX 750 still a viable option for general computing?
The GTX 750 is still a viable option for general computing tasks like web browsing, office work, and streaming media. It’s an old graphics card, but it can still handle these tasks with ease. However, it may struggle with more demanding tasks like video editing, 3D modeling, and gaming.
If you’re looking for a budget graphics card for general computing, you may want to consider more modern options like the NVIDIA GT 1030 or AMD Radeon RX 550. These cards offer better performance, power efficiency, and support for newer features like 4K resolution and HDR.
Can I upgrade my laptop with an MX150 graphics card?
Upgrading a laptop with an MX150 graphics card is generally not possible, as it’s a soldered component on most laptops. Even if it’s possible to upgrade, it would require significant technical expertise and may void your laptop’s warranty.
If you’re looking to upgrade your laptop’s graphics, consider purchasing a new laptop with an MX150 or a more modern graphics card. Alternatively, you could explore external graphics solutions like eGPUs, which can provide a boost in graphics performance.
Is the MX150 compatible with all laptops?
The MX150 is a laptop graphics card, but it’s not compatible with all laptops. The MX150 requires specific hardware and software configurations, including an Intel Core i5 or i7 processor, a compatible motherboard, and a sufficient power supply.
Additionally, the laptop must have an MXM slot or be designed to accommodate the MX150 graphics card. Not all laptops meet these requirements, so it’s essential to check your laptop’s specifications before considering an MX150 upgrade.
Can I use an MX150 for machine learning and AI tasks?
The MX150 is not the ideal choice for machine learning and AI tasks, as it’s primarily designed for gaming and general computing. While it has some CUDA cores, its performance and memory are not optimized for heavy workloads like deep learning.
For machine learning and AI tasks, consider more specialized graphics cards like the NVIDIA Tesla V100 or Quadro RTX 4000. These cards offer significantly better performance, memory, and features specifically designed for AI and machine learning workloads.