Radeon Vega 6
AMD Radeon Vega 6 vs AMD Radeon PRO W7500
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon Vega 6 and AMD Radeon PRO W7500 video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
AMD
Launch Date
April 2021
August 2023
Platform
Integrated
Desktop
Model Name
Radeon Vega 6
Radeon PRO W7500
Generation
Cezanne
Radeon Pro Navi
Base Clock
300MHz
1500MHz
Boost Clock
1700MHz
1700MHz
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
1792
Transistors
9,800 million
13,300 million
RT Cores
-
28
Compute Units
6
28
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
112
L1 Cache
-
128 KB per Array
L2 Cache
-
2MB
Bus Interface
IGP
PCIe 4.0 x8
Foundry
TSMC
TSMC
Process Size
7 nm
6 nm
Architecture
GCN 5.1
RDNA 3.0
TDP
45W
70W
Memory Specifications
Memory Size
System Shared
8GB
Memory Type
System Shared
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.
System Shared
128bit
Memory Clock
SystemShared
1344MHz
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
172.0 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.
13.60 GPixel/s
108.8 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.
40.80 GTexel/s
190.4 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.
2.611 TFLOPS
24.37 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
380.8 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.
1.358
TFlops
12.186
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.
1.2
1.3
OpenCL Version
2.1
2.2
OpenGL
4.6
4.6
DirectX
12 (12_1)
12 Ultimate (12_2)
Power Connectors
None
None
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
64
Shader Model
6.4
6.7
Suggested PSU
-
250W
Advantages
Radeon PRO W7500
- More Shading Units: 1792 (384 vs 1792)
- Larger Memory Size: 8GB (System Shared vs 8GB)
- Higher Bandwidth: 172.0 GB/s (System Dependent vs 172.0 GB/s)
- Newer Launch Date: August 2023 (April 2021 vs August 2023)
FP32 (float)
Radeon Vega 6
1.358
TFlops
Radeon PRO W7500
+797%
12.186
TFlops
SiliconCat Rating
911
Ranks 911 among all GPU on our website
125
Ranks 125 among Desktop GPU on our website
250
Ranks 250 among all GPU on our website
Radeon PRO W7500
