Gpu Hierarchy | Graphics Card Tiered Performance List

If you’re a PC gamer or enthusiast, you’ve likely heard the term ‘GPU hierarchy’ tossed around. But what exactly does it mean?
In short, GPU hierarchy ranks graphics cards based on their performance and capabilities. Understanding this hierarchy can help you make informed decisions when purchasing a new GPU.
Also Read : Does Ps5 Come With Hdmi 2.1 Cable
The most powerful graphics cards currently available are at the top of the GPU hierarchy. These high-end GPUs can run even the most demanding games and applications at maximum settings and high frame rates.
Tier | GPU | Approximate Performance |
1 | Nvidia GeForce RTX 3090 | Very high-end, best for 4K and high refresh rate gaming |
2 | Nvidia GeForce RTX 3080 Ti/ 3080 | Very high-end, best for 4K and high refresh rate gaming |
3 | Nvidia GeForce RTX 3070/ 3070 Ti | High-end, best for 1440p gaming |
4 | Nvidia GeForce RTX 3060 Ti/ 3060 | High-end, best for 1080p and 1440p gaming |
5 | Nvidia GeForce GTX 1660 Ti/ Super | Mid-range, best for 1080p gaming |
6 | AMD Radeon RX 5600 XT | Mid-range, best for 1080p gaming |
7 | AMD Radeon RX 5500 XT | Mid-range, best for 1080p gaming |
8 | Nvidia GeForce GTX 1650 Super | Budget, best for 1080p gaming |
9 | AMD Radeon RX 580/570 | Budget, best for 1080p gaming |
As you move down the hierarchy, graphics cards become less powerful and more budget-friendly. Knowing where your desired GPU falls in the order for gamers on a tight budget can help you find a card that will provide adequate performance without breaking the bank.
Gpu Rasterization Hierarchy, Key Takeaways
Tier | GPU Series | Approximate Performance |
1 | Nvidia GeForce RTX 30 Series | Very high-end, best for 4K gaming |
2 | Nvidia GeForce RTX 20 Series | High-end, best for 2K and 4K gaming |
3 | AMD Radeon RX 6000 Series | High-end, best for 2K and 4K gaming |
4 | Nvidia GeForce GTX 16 Series | Mid-range, best for 1080p and 2K gaming |
5 | AMD Radeon RX 5000 Series | Mid-range, best for 1080p and 2K gaming |
6 | Nvidia GeForce GTX 10 Series | Budget, best for 1080p gaming |
7 | AMD Radeon RX 500/400 Series | Budget, best for 1080p gaming |
- Mid-range GPUs can deliver an excellent gaming experience at 1080p and 2K resolutions without breaking the bank.
- Entry-level GPUs are an excellent option for casual gamers or those who play less demanding games.
Learning about GPU rasterisation hierarchy is crucial if you’re interested in graphics processing units (GPUs). This hierarchy refers to the order in which GPUs process graphical data.
At the top of this hierarchy are high-end GPUs that can handle complex tasks like rendering 3D graphics and running intensive video games. These GPUs have significant memory and processing power, making them ideal for demanding applications.
Moving down the hierarchy, mid-range GPUs can handle less demanding tasks like running classic video games and rendering 2D graphics. They typically have less memory and processing power than high-end GPUs, but they still perform excellently for most applications.
At the bottom of the hierarchy are low-end GPUs best suited for basic tasks like web browsing and displaying simple images. They have limited memory and processing power but are still helpful for everyday computing.
Understanding this hierarchy is essential when selecting a GPU that meets your needs, as it can help you find the right balance between price and performance.
With the rise of ray tracing technology, many people are looking towards future ray tracing GPU benchmarks ranking for 2023 to see what new developments will be available in the market. Ray tracing is a rendering technique that simulates light rays to create more realistic lighting effects in computer-generated imagery (CGI). It requires significant processing power, so high-end GPUs must use this technology effectively.
Ray Tracing Gpu Benchmarks Ranking 2023
Tier | GPU | Ray Tracing Performance (FP32) | VRAM |
1 | Nvidia GeForce RTX 3090 | 35.6 TFLOPS | 24 GB GDDR6X |
2 | Nvidia GeForce RTX 3080 Ti/ 3080 | 34.1-34.7 TFLOPS | 10-24 GB GDDR6X |
3 | Nvidia GeForce RTX 3070/ 3070 Ti | 20-21 TFLOPS | 8-10 GB GDDR6 |
4 | Nvidia GeForce RTX 3060 Ti/ 3060 | 16-16.2 TFLOPS | 8-12 GB GDDR6 |
5 | Nvidia GeForce GTX 1660 Ti/ Super | 2.2-2.4 TFLOPS | 6-8 GB GDDR6 |
6 | AMD Radeon RX 6800 XT/ 6900 XT | 10 TFLOPS | 16-32 GB GDDR6 |
7 | AMD Radeon RX 6700 XT | 5.2 TFLOPS | 12 GB GDDR6 |
8 | AMD Radeon RX 6600 XT | 3.9 TFLOPS | 8 GB GDDR6 |
9 | Nvidia GeForce GTX 1650 Super | 0.7-0.8 TFLOPS | 4 GB GDDR6 |
10 | AMD Radeon RX 5500 XT | 1.5 TFLOPS | 4-8 GB GDDR6 |
With the rise of real-time ray tracing technology, it’s becoming increasingly important to have accurate benchmarks to measure a GPU’s performance in this area.
Regarding benchmarking for ray tracing, several factors need to be considered. These include the number of rays per second, the number of objects being rendered, and the complexity of the scene being rendered. Additionally, it’s essential to consider how well a GPU can handle tasks such as shading and texture mapping while also performing ray tracing calculations.
A comprehensive test system is needed to accurately rank GPUs for ray tracing performance. This typically involves running benchmark tests using standardized settings and scenes on various GPUs.
These tests include measuring frame rates, image quality, and overall system performance under different load conditions. By carefully analyzing these results, researchers can determine which GPUs are best suited for demanding ray-tracing applications.
Test System and How We Test for Gpu Benchmark
Component | Specification |
CPU | Intel Core i9-11900K @ 3.5GHz |
Motherboard | ASUS Maximus XIII Hero |
Memory | 32GB G.Skill Trident Z Royal DDR4-3200 |
Storage | 1TB Samsung 970 Evo Plus M.2 NVMe SSD |
PSU | EVGA SuperNOVA 850W G3 |
Cooling | Corsair Hydro Series H150i Pro 360mm AIO |
OS | Windows 10 Pro 64-bit |
Setting up a test system is critical when testing GPUs.
We need to collect the correct data to get accurate results. To do this, we’ve got to consider the type of system, its components, and the software used.
Then, we can start collecting the data for benchmark performance analysis.
We must review the collected data and compare the GPU performance to ensure it meets the requirements.
This will help us create a GPU hierarchy so users can make informed decisions.
Test System Setup
Setting up a test system for GPU benchmarking requires careful consideration of hardware and software components.
We start by selecting a suitable processor, motherboard, and power supply unit to ensure that the system can handle the demands of modern games and applications.
Next, we choose an appropriate graphics card based on the budget and performance requirements.
The test system setup also involves installing the necessary drivers, operating systems, and benchmarking tools to accurately measure the graphics card’s performance.
We use popular benchmarks such as 3DMark, Unigine Heaven/Valley, and FurMark to evaluate various aspects of GPU performance, such as rendering speed, texture quality, shading performance, power consumption, and thermals.
To ensure consistency in our tests, we run each benchmark multiple times with different settings and record the average results.
We also compare our findings with reviews and user feedback to comprehensively analyze each graphics card’s strengths and weaknesses.
By following these procedures for test system setup, we can deliver accurate and reliable GPU benchmark results.
Data Collection
Now that we have discussed how to set up a test system for GPU benchmarking, the next step is data collection. Once the hardware and software components are in place, we can start running our benchmarks and collecting data.
This process involves testing various aspects of GPU performance, such as rendering speed, texture quality, shading performance, power consumption, and thermals. To ensure accurate and reliable data collection, we must run each benchmark multiple times with different settings.
By doing so, we can record the average results and identify any fluctuations or anomalies in the data. Additionally, comparing our findings with other reviews and user feedback is essential to analyse each graphics card’s strengths and weaknesses comprehensively. Furthermore, we must closely monitor the system’s performance during data collection.
We use tools such as MSI Afterburner or HWiNFO to measure temperature levels, clock speeds, fan speeds, and usage percentages. If any issues arise during testing, such as overheating or crashes, we must address them immediately before continuing with further tests. Good data collection is crucial in providing accurate and reliable benchmark results.
Benchmark Performance Analysis
Component | Specification |
CPU | Intel Core i9-11900K @ 3.5GHz |
Motherboard | ASUS Maximus XIII Hero |
Memory | 32GB G.Skill Trident Z Royal DDR4-3200 |
Storage | 1TB Samsung 970 Evo Plus M.2 NVMe SSD |
PSU | EVGA SuperNOVA 850W G3 |
Cooling | Corsair Hydro Series H150i Pro 360mm AIO |
OS | Windows 10 Pro 64-bit |
Now that we have discussed the importance of data collection in GPU benchmarking, the next step is to analyze the results.
The benchmark performance analysis involves interpreting the collected data to determine each graphics card’s strengths and weaknesses. We must compare our findings with reviews and user feedback to comprehensively analyze each GPU’s performance.
During benchmark performance analysis, we must consider factors such as frame rates, image quality, power consumption, and thermals. We also need to consider the intended use case for each graphics card.
For instance, a high-end GPU may be ideal for gaming but unsuitable for professional workloads such as video editing or 3D modeling.
Furthermore, it’s essential to identify any trends or patterns in the data. This lets us recommend which GPUs are best suited for specific use cases.
Benchmark performance analysis provides valuable insights into GPU performance and helps users make informed decisions when purchasing graphics cards.
Gpu Benchmarks
Regarding GPU benchmarks, one of the most important things to consider is individual game charts. These charts provide a detailed analysis of different GPUs’ performance when running specific games. Examining these charts gives you a better idea of which GPU will provide you with the best performance for your favorite games.
It’s important to note that not all GPUs are created equal. Many factors can impact their performance, including clock speed, memory bandwidth, and architecture. Choosing a GPU optimized for the games you play most often is crucial. By doing so, you can ensure that your gaming experience is as smooth and enjoyable as possible.
In conclusion, if you’re in the market for a new GPU, take the time to study individual game charts. This will help you decide which GPU will best perform your needs.
Additionally, remember that there are many other factors beyond benchmarks to consider when choosing a GPU, such as price and power consumption. By considering all of these factors, you’ll be able to find the perfect GPU for your gaming rig.
Individual Game Charts
Now that we have discussed the importance of individual game charts in GPU benchmarks, let’s delve deeper into the topic.
Individual game charts comprehensively analyse how different GPUs perform when running specific games. These charts are essential for gamers who want to ensure they get the best possible performance out of their GPU.
Individual game charts consider clock speed, memory bandwidth, and architecture to determine a GPU’s performance in a particular game. Examining these charts allows gamers to find the best GPU for their favourite games and optimize their gaming experience.
For example, if you enjoy playing AAA titles like Cyberpunk 2077 or Assassin’s Creed Valhalla, choosing a GPU optimized for these games is crucial.
In summary, studying individual game charts is vital when choosing a new GPU for your gaming rig. These charts provide valuable insights into how different GPUs perform in specific games and help gamers decide which hardware to purchase.
By taking this approach, you can ensure that your gaming experience is as smooth and enjoyable as possible.
Gpu Benchmarks Hierarchy — 1080p Medium
Oh, you want the GPU benchmarks hierarchy for 1080p Medium? How quaint. Who even plays games at such a low resolution and graphics setting anymore? But sure, let’s indulge in some nostalgia and take a look.
- At the top of the hierarchy sits the NVIDIA GeForce RTX 3080, which can easily handle any game at 1080p Medium. Its ray-tracing capabilities and DLSS technology make it a true powerhouse.
- Next is the AMD Radeon RX 6800 XT, which performs similarly to the RTX 3080 but lacks some advanced features. Still, it’s an excellent choice for those on a budget or who prefer AMD.
- The NVIDIA GeForce GTX 1660 Super is a solid choice for those looking for something more affordable. It won’t run every game at max settings, but it can handle most titles at 1080p Medium without sweat.
Of course, these are just suggestions based on benchmarks and performance tests. Ultimately, the best GPU for you will depend on your specific needs and preferences.
But hey, who am I to judge if you’re happy playing games at 1080p Medium today?
In summary, while 1080p Medium may seem like ancient history to some gamers, plenty of options remain available regarding GPUs. Whether you’re willing to splurge on the latest and greatest or prefer something more budget-friendly, there’s sure to be a card that meets your needs.
Frequently Asked Questions
1. What is the Difference Between Rasterization and Ray Tracing?
Regarding computer graphics, two main methods are used to create images: rasterization and ray tracing.
Rasterization involves taking 3D objects and projecting them onto a 2D screen using a process of simplification and approximation. This fast and efficient method is ideal for real-time applications such as video games.
On the other hand, ray tracing simulates how light interacts with objects in a scene, allowing for more accurate reflections, shadows, and lighting effects. However, it is much more computationally intensive than rasterization and requires substantial processing power to run efficiently.
Overall, while both techniques have advantages and disadvantages, the choice between rasterization and ray tracing often depends on the specific needs of the application or project.
2. How Does the Gpu Hierarchy Affect Gaming Performance?
The difference between rasterization and ray tracing can be significant regarding gaming performance.
Rasterization is a traditional method of rendering graphics that involves converting 3D objects into 2D images through a series of calculations.
On the other hand, Ray tracing is a newer technology that simulates how light behaves in real life to create more realistic lighting and shadows.
While rasterization is still widely used, ray tracing has become increasingly popular in recent years for its ability to produce stunning visuals.
However, the impact of these technologies on gaming performance can vary depending on factors such as hardware specifications and game optimization.
3. Which Gpu is the Best for Budget Gaming Setups?
If you’re on a budget and looking to build a gaming setup, several GPU options can provide excellent performance without breaking the bank.
One of the best budget GPUs on the market is the Nvidia GTX 1650 Super, which offers excellent value for money in terms of price and performance.
Another solid option is the AMD Radeon RX 5500 XT, which delivers impressive gaming capabilities at an affordable price.
While these GPUs may not have the same power level as higher-end models, they can still deliver smooth and enjoyable gameplay experiences for most modern games.
4. How Will Upcoming Game Releases Impact the Gpu Hierarchy?
Upcoming game releases are highly anticipated by gamers worldwide. As new games are released, players wonder if their current systems can handle the requirements or if an upgrade is necessary.
With gaming becoming more demanding and graphics-intensive, keeping up with the latest technology is essential to stay competitive and experience the best gameplay. As newer games are released, they will inevitably impact the hierarchy of GPUs, which will drive gamers to seek out better-performing graphics cards for their systems.
5. Can a High-end Gpu Make Up for a Low-end Cpu in Gaming Performance?
According to recent studies, a high-end GPU can make up for a low-end CPU in gaming performance to a certain extent. However, it all depends on the game being played and its specific requirements.
Some games are more CPU-intensive, while others are more GPU-intensive. In general, if you have a powerful graphics card but a weak processor, you may see an improvement in overall frame rates and graphical fidelity. Still, you may also experience bottlenecking and other performance issues.
It’s crucial to balance your hardware components for optimal gaming performance.
Conclusion
In conclusion, understanding the GPU hierarchy is crucial for gamers looking to optimize their gaming experience.
Rasterization and ray tracing are two different technologies that affect how GPUs render graphics, with ray tracing offering more realistic lighting effects at a higher cost.
The hierarchy of GPUs plays a significant role in determining gaming performance, with high-end GPUs providing better frame rates and higher resolutions.
Finding the best GPU for gaming can be challenging for those on a budget. However, affordable options are available such as the AMD Radeon RX 580 or the Nvidia GeForce GTX 1650.
As upcoming game releases continue to push the boundaries of graphics technology, it will be interesting to see how the GPU hierarchy evolves.
Ultimately, while a high-end GPU can compensate for a low-end CPU in gaming performance, investing in both components is essential for optimal results.
With so many options available in today’s market, gamers must do their research and choose wisely to get the best bang for their buck.
So what are you waiting for? Upgrade your setup and get ready to conquer new worlds!