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AMD Radeon RX 7900 GRE

AMD Radeon RX 7900 GRE

AMD Radeon RX 7900 GRE: A Comprehensive Overview

The AMD Radeon RX 7900 GRE represents a significant advancement in AMD’s GPU lineup, catering to gamers and professionals alike. In this detailed article, we will explore the architecture, memory specifications, gaming performance, professional applications, energy efficiency, and much more. Let’s dive into the key features that make this graphics card stand out.

1. Architecture and Key Features

Architecture: RDNA 3

The AMD Radeon RX 7900 GRE is built on the RDNA 3 architecture, which sets a new standard for performance and efficiency in gaming graphics. This architecture leverages a chiplet design, allowing for a more efficient processing of data and reducing bottlenecks that can occur in traditional monolithic designs. The RDNA 3 architecture delivers up to 50% more performance per watt compared to its predecessor, RDNA 2, making it an excellent choice for energy-conscious gamers.

Manufacturing Technology

The RX 7900 GRE is manufactured using TSMC’s 5nm process technology, which contributes to its enhanced power efficiency and performance. Smaller transistors mean higher density and better thermal management, allowing the GPU to operate at higher clock speeds without excessive heat buildup.

Unique Features

While AMD has not integrated features like NVIDIA's DLSS (Deep Learning Super Sampling) or RTX (real-time ray tracing) in the same capacity, it has introduced its own set of advanced technologies:

- FidelityFX Super Resolution (FSR): A technology designed to boost frame rates in supported games by upscaling lower-resolution images.

- Ray Tracing: The RX 7900 GRE supports hardware-accelerated ray tracing, allowing for realistic lighting and shadow effects, although it may not perform as well as NVIDIA's offerings in this area.

2. Memory Specifications

Memory Type and Capacity

The RX 7900 GRE is equipped with 12GB of GDDR6 memory. GDDR6 is known for its high bandwidth, making it suitable for high-resolution gaming and demanding applications.

Memory Bandwidth

The memory bandwidth of the RX 7900 GRE is approximately 384 GB/s. This high bandwidth ensures that the GPU can handle large textures and complex scenes without stuttering, providing smooth gameplay at higher resolutions.

Impact on Performance

The combination of GDDR6 memory and high bandwidth allows the RX 7900 GRE to excel in gaming scenarios that require quick access to large amounts of data, such as open-world games and those with high-resolution textures. The 12GB of VRAM is especially beneficial for 4K gaming and future-proofing against upcoming titles with higher graphical demands.

3. Gaming Performance

Real-World Examples

In terms of gaming performance, the RX 7900 GRE excels across a variety of popular titles:

- Cyberpunk 2077: Achieves around 60 FPS at 1440p with high settings and ray tracing enabled.

- Call of Duty: Warzone: Delivers an impressive 100 FPS at 1080p on ultra settings.

- Assassin’s Creed Valhalla: Maintains approximately 70 FPS at 4K resolution with high settings.

Resolution Support

The RX 7900 GRE is designed to perform well across multiple resolutions:

- 1080p: It can easily handle high settings in most modern titles, often exceeding 100 FPS.

- 1440p: It strikes a good balance, providing smooth gameplay with high settings.

- 4K: While it can manage 4K gaming, performance may drop in more demanding titles, particularly when ray tracing is enabled. However, FSR can help maintain playable frame rates.

Ray Tracing Performance

While the RX 7900 GRE supports ray tracing, it does lag behind NVIDIA's offerings in this department. Ray tracing can significantly impact performance, so it's essential to keep that in mind when enabling this feature in games.

4. Professional Tasks

Video Editing and 3D Modeling

The RX 7900 GRE is not only suitable for gaming but also excels in professional applications. Its ample VRAM and powerful architecture make it a solid choice for video editing software like Adobe Premiere Pro and DaVinci Resolve, where high-resolution assets are common.

For 3D modeling applications such as Blender and Autodesk Maya, the RX 7900 GRE can handle complex scenes and render tasks efficiently, especially with OpenCL support for compute tasks.

Scientific Computing

Professionals in scientific fields can leverage the RX 7900 GRE's capabilities for calculations and simulations. While it does not support CUDA (NVIDIA's proprietary parallel computing platform), OpenCL support allows for parallel processing in compatible applications.

5. Power Consumption and Thermal Management

Thermal Design Power (TDP)

The RX 7900 GRE has a TDP of around 250 watts. This means that users should ensure their power supply can handle this load, along with the rest of their system components.

Cooling Recommendations

To maintain optimal performance, a robust cooling solution is recommended. A dual or triple-fan setup is ideal, as it can help dissipate heat effectively. Additionally, users should consider airflow within their PC case to ensure components stay cool during intensive tasks.

6. Comparison with Competitors

When comparing the RX 7900 GRE with similar models, it’s essential to look at both AMD and NVIDIA offerings:

- AMD Radeon RX 7900 XT: Offers similar performance but with higher clock speeds and slightly better ray tracing capabilities.

- NVIDIA GeForce RTX 4070 Ti: While it provides superior ray tracing performance, it often comes at a premium price.

In general, the RX 7900 GRE offers great value for gamers who prioritize traditional rasterization performance over ray tracing.

7. Practical Tips

Choosing a Power Supply

For the RX 7900 GRE, a quality power supply with a minimum wattage of 750W is recommended. This ensures adequate power for the GPU and other components, especially during heavy loads.

Compatibility with Platforms

The RX 7900 GRE is compatible with a wide range of motherboards, but it’s essential to check for PCIe 4.0 support to take full advantage of its capabilities.

Driver Considerations

AMD regularly updates its drivers to enhance performance and fix bugs. It is advisable to keep your drivers up to date for the best experience in games and applications.

8. Pros and Cons

Pros

- Strong Gaming Performance: Excellent performance in traditional gaming scenarios.

- Value for Money: Competitive pricing compared to similar models from NVIDIA.

- Good for Creative Work: Adequate performance for video editing and 3D rendering tasks.

Cons

- Ray Tracing Limitations: Less effective ray tracing performance compared to NVIDIA.

- Power Consumption: Requires a robust power supply and cooling solution.

- Driver Ecosystem: While improving, AMD’s driver support can sometimes lag behind NVIDIA’s.

9. Conclusion

The AMD Radeon RX 7900 GRE is a versatile GPU that caters to both gamers and professionals. With its strong performance in most gaming scenarios, ample memory, and capabilities for creative applications, it stands out as a solid choice in its price range. However, users seeking the best ray tracing performance may want to consider NVIDIA alternatives. Ultimately, the RX 7900 GRE is perfect for those looking for a powerful GPU that offers great value without breaking the bank. Whether you're a gamer or a content creator, this graphics card is worth considering for your next build.

Top Desktop GPU: 31

Basic

Label Name
AMD
Platform
Desktop
Launch Date
July 2023
Model Name
Radeon RX 7900 GRE
Generation
Navi III
Base Clock
1287MHz
Boost Clock
2245MHz
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
5120
Transistors
57,700 million
RT Cores
80
Compute Units
80
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
320
L1 Cache
256 KB per Array
L2 Cache
6MB
Bus Interface
PCIe 4.0 x16
Foundry
TSMC
Process Size
5 nm
Architecture
RDNA 3.0
TDP
260W

Memory Specifications

Memory Size
16GB
Memory Type
GDDR6
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
256bit
Memory Clock
2250MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
576.0 GB/s

Theoretical Performance

Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
431.0 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
718.4 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
91.96 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
1437 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
46.895 TFlops

Miscellaneous

Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
OpenCL Version
2.2
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
2x 8-pin
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
192
Shader Model
6.7
Suggested PSU
600W

FP32 (float)

46.895 TFlops

Blender

2883

Vulkan

141871

OpenCL

159982

Compared to Other GPU

74%
73%
94%
Better then 74% GPU over the past year
Better then 73% GPU over the past 3 years
Better then 94% GPU

SiliconCat Rating

31
Ranks 31 among Desktop GPU on our website
54
Ranks 54 among all GPU on our website
FP32 (float)
B200 SXM 192 GB
NVIDIA, January 2024
60.832 TFlops
H100 PCIe
NVIDIA, March 2022
51.205 TFlops
Radeon RX 7900 GRE
AMD, July 2023
46.895 TFlops
Radeon RX 7800
AMD, January 2023
41.311 TFlops
A40 PCIe
NVIDIA, October 2020
36.669 TFlops
Blender
GeForce RTX 4090
NVIDIA, September 2022
12577
GeForce RTX 4060
NVIDIA, May 2023
3410
Radeon RX 7900 GRE
AMD, July 2023
2883
Radeon RX 6600
AMD, October 2021
1005.46
Radeon Pro Vega 56
AMD, August 2017
521
Vulkan
GeForce RTX 4090
NVIDIA, September 2022
254749
Radeon RX 7900 GRE
AMD, July 2023
141871
GeForce GTX 1080 Ti
NVIDIA, March 2017
83205
Radeon Pro 5700
AMD, August 2020
54984
P106 100
NVIDIA, June 2017
31357
OpenCL
L40S
NVIDIA, October 2022
362331
Radeon RX 7900 GRE
AMD, July 2023
159982
CMP 40HX
NVIDIA, February 2021
97694
Radeon Pro W5700
AMD, November 2019
69319
Radeon Pro 5600M
AMD, June 2020
48324

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