AMD Radeon Vega 8 vs AMD Radeon RX 6750 GRE
GPU Comparison Result
Below are the results of a comparison of AMD Radeon Vega 8 and AMD Radeon RX 6750 GRE video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2581MHz (2000MHz vs 2581MHz)
- Larger Memory Size: 12GB (System Shared vs 12GB)
- Higher Bandwidth: 432.0 GB/s (System Dependent vs 432.0 GB/s)
- More Shading Units: 2560 (512 vs 2560)
- Newer Launch Date: October 2023 (January 2021 vs October 2023)
Basic
AMD
Label Name
AMD
January 2021
Launch Date
October 2023
Integrated
Platform
Desktop
Radeon Vega 8
Model Name
Radeon RX 6750 GRE
Cezanne
Generation
Navi II
300MHz
Base Clock
2321MHz
2000MHz
Boost Clock
2581MHz
IGP
Bus Interface
PCIe 4.0 x16
9,800 million
Transistors
17,200 million
-
RT Cores
40
8
Compute Units
40
32
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.
160
TSMC
Foundry
TSMC
7 nm
Process Size
7 nm
GCN 5.1
Architecture
RDNA 2.0
Memory Specifications
System Shared
Memory Size
12GB
System Shared
Memory Type
GDDR6
System Shared
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.
192bit
SystemShared
Memory Clock
2250MHz
System Dependent
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.
432.0 GB/s
Theoretical Performance
16.00 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.
165.2 GPixel/s
64.00 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.
413.0 GTexel/s
4.096 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.
26.43 TFLOPS
128.0 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.
825.9 GFLOPS
2.089
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.
13.474
TFLOPS
Miscellaneous
512
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.
2560
-
L1 Cache
128 KB per Array
-
L2 Cache
3MB
45W
TDP
250W
1.2
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
2.1
OpenCL Version
2.1
4.6
OpenGL
4.6
12 (12_1)
DirectX
12 Ultimate (12_2)
None
Power Connectors
1x 6-pin + 1x 8-pin
8
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.
64
6.4
Shader Model
6.7
-
Suggested PSU
600W
Benchmarks
FP32 (float)
/ TFLOPS
Radeon Vega 8
2.089
Radeon RX 6750 GRE
13.474
+545%
3DMark Time Spy
Radeon Vega 8
2742
Radeon RX 6750 GRE
12617
+360%
