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AMD Radeon 760M vs Intel Arc A580

AMD Radeon 760M

Intel Arc A580

GPU Comparison Result

Below are the results of a comparison of AMD Radeon 760M and Intel Arc A580 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon 760M

Higher Boost Clock: 2800MHz (2800MHz vs 2000MHz)

Intel Arc A580

Larger Memory Size: 8GB (System Shared vs 8GB)
Higher Bandwidth: 512.0 GB/s (System Dependent vs 512.0 GB/s)
More Shading Units: 3072 (384 vs 3072)
Newer Launch Date: October 2023 (January 2023 vs October 2023)

Basic

AMD

Label Name

Intel

January 2023

Launch Date

October 2023

Integrated

Platform

Desktop

Radeon 760M

Model Name

Arc A580

Navi III IGP

Generation

Alchemist

1500MHz

Base Clock

1700MHz

2800MHz

Boost Clock

2000MHz

PCIe 4.0 x8

Bus Interface

PCIe 4.0 x16

25,390 million

Transistors

21,700 million

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.

384

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.

192

TSMC

Foundry

TSMC

4 nm

Process Size

6 nm

RDNA 3.0

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.

256bit

SystemShared

Memory Clock

2000MHz

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.

512.0 GB/s

Theoretical Performance

44.80 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.

192.0 GPixel/s

67.20 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.

384.0 GTexel/s

8.602 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.

24.58 TFLOPS

268.8 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.

4.387 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.

12.044 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.

3072

128 KB per Array

L1 Cache

2MB

L2 Cache

8MB

15W

TDP

175W

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)

None

Power Connectors

2x 8-pin

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.

6.7

Shader Model

6.6

Suggested PSU

450W