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Intel Arc A580 vs Intel Arc A310

Intel Arc A580

Intel Arc A310

GPU Comparison Result

Below are the results of a comparison of Intel Arc A580 and Intel Arc A310 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Arc A580

Higher Boost Clock: 2000MHz (2000MHz vs 1750MHz)
Larger Memory Size: 8GB (8GB vs 4GB)
Higher Bandwidth: 512.0 GB/s (512.0 GB/s vs 124.0 GB/s)
More Shading Units: 3072 (3072 vs 768)
Newer Launch Date: October 2023 (October 2023 vs October 2022)

Basic

Intel

Label Name

Intel

October 2023

Launch Date

October 2022

Desktop

Platform

Desktop

Arc A580

Model Name

Arc A310

Alchemist

Generation

Alchemist

1700MHz

Base Clock

1750MHz

2000MHz

Boost Clock

1750MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x8

21,700 million

Transistors

7,200 million

RT Cores

384

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

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

6 nm

Process Size

6 nm

Generation 12.7

Architecture

Generation 12.7

Memory Specifications

8GB

Memory Size

4GB

GDDR6

Memory Type

GDDR6

256bit

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.

64bit

2000MHz

Memory Clock

1937MHz

512.0 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.

124.0 GB/s

Theoretical Performance

192.0 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.

28.00 GPixel/s

384.0 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.

56.00 GTexel/s

24.58 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.

5.376 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.

672.0 GFLOPS

12.044 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.

2.742 TFLOPS

Miscellaneous

3072

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.

768

8MB

L2 Cache

4MB

175W

TDP

30W

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

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

2x 8-pin

Power Connectors

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.

6.6

Shader Model

6.6

450W

Suggested PSU

200W