AMD Radeon Vega 6 vs Intel Arc A530M
GPU Comparison Result
Below are the results of a comparison of AMD Radeon Vega 6 and Intel Arc A530M video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 1700MHz (1700MHz vs 1300MHz)
- Larger Memory Size: 8GB (System Shared vs 8GB)
- Higher Bandwidth: 224.0 GB/s (System Dependent vs 224.0 GB/s)
- More Shading Units: 1536 (384 vs 1536)
- Newer Launch Date: August 2023 (April 2021 vs August 2023)
Basic
AMD
Label Name
Intel
April 2021
Launch Date
August 2023
Integrated
Platform
Mobile
Radeon Vega 6
Model Name
Arc A530M
Cezanne
Generation
Alchemist
300MHz
Base Clock
900MHz
1700MHz
Boost Clock
1300MHz
IGP
Bus Interface
PCIe 4.0 x8
9,800 million
Transistors
Unknown
-
RT Cores
12
6
Compute Units
-
-
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
192
24
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.
96
TSMC
Foundry
TSMC
7 nm
Process Size
6 nm
GCN 5.1
Architecture
Generation 12.7
Memory Specifications
System Shared
Memory Size
8GB
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.
128bit
SystemShared
Memory Clock
1750MHz
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.
224.0 GB/s
Theoretical Performance
13.60 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.
62.40 GPixel/s
40.80 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.
124.8 GTexel/s
2.611 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.
7.987 TFLOPS
81.60 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.
-
1.332
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.
3.914
TFLOPS
Miscellaneous
384
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.
1536
-
L2 Cache
8MB
45W
TDP
65W
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
3.0
4.6
OpenGL
4.6
12 (12_1)
DirectX
12 Ultimate (12_2)
None
Power Connectors
-
6.4
Shader Model
6.6
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.
48
Benchmarks
FP32 (float)
/ TFLOPS
Radeon Vega 6
1.332
Arc A530M
3.914
+194%
