AMD Radeon PRO W7900D vs AMD Radeon Vega 6
GPU Comparison Result
Below are the results of a comparison of
AMD Radeon PRO W7900D
and
AMD Radeon Vega 6
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2495 MHz (2495 MHz vs 1700MHz)
- Larger Memory Size: 48GB (48GB vs System Shared)
- Higher Bandwidth: 864.0GB/s (864.0GB/s vs System Dependent)
- More Shading Units: 6144 (6144 vs 384)
- Newer Launch Date: September 2025 (September 2025 vs April 2021)
Basic
AMD
Label Name
AMD
September 2025
Launch Date
April 2021
Desktop
Platform
Integrated
Radeon PRO W7900D
Model Name
Radeon Vega 6
Radeon Pro Navi
Generation
Cezanne
1327 MHz
Base Clock
300MHz
2495 MHz
Boost Clock
1700MHz
PCIe 4.0 x16
Bus Interface
IGP
57.7 billion
Transistors
9,800 million
96
RT Cores
-
96
Compute Units
6
384
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.
24
TSMC
Foundry
TSMC
5 nm
Process Size
7 nm
RDNA 3.0
Architecture
GCN 5.1
Memory Specifications
48GB
Memory Size
System Shared
GDDR6
Memory Type
System Shared
384bit
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.
System Shared
2250 MHz
Memory Clock
SystemShared
864.0GB/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.
System Dependent
Theoretical Performance
479.0 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.
13.60 GPixel/s
958.1 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.
40.80 GTexel/s
122.6 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.
2.611 TFLOPS
1.916 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.
81.60 GFLOPS
62.546
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.
1.332
TFLOPS
Miscellaneous
6144
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.
384
256 KB per Array
L1 Cache
-
6 MB
L2 Cache
-
295W
TDP
45W
1.4
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.
1.2
2.2
OpenCL Version
2.1
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 (12_1)
2x 8-pin
Power Connectors
None
192
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.
8
6.8
Shader Model
6.4
600 W
Suggested PSU
-
Benchmarks
FP32 (float)
/ TFLOPS
Radeon PRO W7900D
62.546
+4596%
Radeon Vega 6
1.332
Related GPU Comparisons
Share in social media
Or Link To Us
<a href="https://cputronic.com/gpu/compare/amd-radeon-pro-w7900d-vs-amd-radeon-vega-6" target="_blank">AMD Radeon PRO W7900D vs AMD Radeon Vega 6</a>