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AMD Radeon RX 6700 XT vs Intel Arc A530M

AMD Radeon RX 6700 XT

Intel Arc A530M

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 6700 XT and Intel Arc A530M video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 6700 XT

Higher Boost Clock: 2581MHz (2581MHz vs 1300MHz)
Larger Memory Size: 12GB (12GB vs 8GB)
Higher Bandwidth: 384.0 GB/s (384.0 GB/s vs 224.0 GB/s)
More Shading Units: 2560 (2560 vs 1536)

Intel Arc A530M

Newer Launch Date: August 2023 (March 2021 vs August 2023)

Basic

AMD

Label Name

Intel

March 2021

Launch Date

August 2023

Desktop

Platform

Mobile

Radeon RX 6700 XT

Model Name

Arc A530M

Navi II

Generation

Alchemist

2321MHz

Base Clock

900MHz

2581MHz

Boost Clock

1300MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x8

17,200 million

Transistors

Unknown

RT Cores

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

160

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.

TSMC

Foundry

TSMC

7 nm

Process Size

6 nm

RDNA 2.0

Architecture

Generation 12.7

Memory Specifications

12GB

Memory Size

8GB

GDDR6

Memory Type

GDDR6

192bit

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

2000MHz

Memory Clock

1750MHz

384.0 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.

224.0 GB/s

Theoretical Performance

165.2 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

413.0 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

26.43 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

825.9 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.

13.474 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

2560

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

128 KB per Array

L1 Cache

3MB

L2 Cache

8MB

230W

TDP

65W

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

2.1

OpenCL Version

3.0

4.6

OpenGL

4.6

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

1x 6-pin + 1x 8-pin

Power Connectors

6.5

Shader Model

6.6

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.

550W

Suggested PSU