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Intel Arc A570M

About GPU

The Intel Arc A570M GPU is a powerful mobile graphics processing unit that offers excellent performance and features for gaming and content creation. With a base clock speed of 900MHz and a boost clock speed of 1300MHz, this GPU delivers smooth and responsive graphics for high-demand applications. One of the standout features of the Intel Arc A570M is its 8GB of GDDR6 memory, which provides ample space for loading and rendering complex textures and shader programs. The 1750MHz memory clock speed ensures fast data transfer and smooth performance, even when handling large amounts of visual data. With 2048 shading units and 8MB of L2 cache, the A570M is capable of handling advanced graphics rendering and complex visual effects without sacrificing speed or responsiveness. Additionally, the 75W TDP ensures that the GPU operates efficiently without consuming excessive power or generating unnecessary heat. The theoretical performance of 5.325 TFLOPS further solidifies the A570M's reputation as a capable and high-performing GPU. Whether you're playing the latest AAA titles, creating 3D models and animations, or editing high-resolution videos, the Intel Arc A570M has the power and features to handle it all with ease. Overall, the Intel Arc A570M GPU is a solid choice for anyone in need of a high-performance mobile graphics solution. Its combination of speed, memory capacity, and efficient power usage makes it a great option for gaming laptops and professional mobile workstations.

Basic

Label Name

Intel

Platform

Mobile

Launch Date

August 2023

Model Name

Arc A570M

Generation

Alchemist

Base Clock

900MHz

Boost Clock

1300MHz

Bus Interface

PCIe 4.0 x8

Transistors

Unknown

RT Cores

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.

256

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.

128

Foundry

TSMC

Process Size

6 nm

Architecture

Generation 12.7

Memory Specifications

Memory Size

8GB

Memory Type

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.

128bit

Memory Clock

1750MHz

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

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.

83.20 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.

166.4 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.

10.65 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.

5.218 TFLOPS

Miscellaneous

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.

2048

L2 Cache

8MB

TDP

75W

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

OpenCL Version

3.0

OpenGL

4.6

DirectX

12 Ultimate (12_2)

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.