AMD Radeon RX 7800 XT vs AMD Radeon RX 7900 GRE
GPU Comparison Result
Below are the results of a comparison of AMD Radeon RX 7800 XT and AMD Radeon RX 7900 GRE video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2430MHz (2430MHz vs 2245MHz)
- Higher Bandwidth: 624.1 GB/s (624.1 GB/s vs 576.0 GB/s)
- Newer Launch Date: August 2023 (August 2023 vs July 2023)
- More Shading Units: 5120 (3840 vs 5120)
Basic
AMD
Label Name
AMD
August 2023
Launch Date
July 2023
Desktop
Platform
Desktop
Radeon RX 7800 XT
Model Name
Radeon RX 7900 GRE
Navi III
Generation
Navi III
1295MHz
Base Clock
1287MHz
2430MHz
Boost Clock
2245MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
28,100 million
Transistors
57,700 million
60
RT Cores
80
60
Compute Units
80
240
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
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
RDNA 3.0
Architecture
RDNA 3.0
Memory Specifications
16GB
Memory Size
16GB
GDDR6
Memory Type
GDDR6
256bit
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
2438MHz
Memory Clock
2250MHz
624.1 GB/s
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
233.3 GPixel/s
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
583.2 GTexel/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
74.65 TFLOPS
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
1166 GFLOPS
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
36.574
TFLOPS
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.
46.9
TFLOPS
Miscellaneous
3840
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
128 KB per Array
L1 Cache
256 KB per Array
4MB
L2 Cache
6MB
263W
TDP
260W
1.3
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
2.2
OpenCL Version
2.2
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
2x 8-pin
Power Connectors
2x 8-pin
6.7
Shader Model
6.7
96
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
700W
Suggested PSU
600W
Benchmarks
FP32 (float)
/ TFLOPS
Radeon RX 7800 XT
36.574
Radeon RX 7900 GRE
46.9
+28%
Vulkan
Radeon RX 7800 XT
155024
+9%
Radeon RX 7900 GRE
141871
OpenCL
Radeon RX 7800 XT
140145
Radeon RX 7900 GRE
159982
+14%
