Home / GPU Comparison / Intel UHD Graphics 32EU (Raptor Lake-HX / Refresh) or AMD Radeon RX 580 2048SP: What's better?

Intel UHD Graphics 32EU (Raptor Lake-HX / Refresh)

vs

AMD Radeon RX 580 2048SP

GPU Comparison Result

Below are the results of a comparison of Intel UHD Graphics 32EU (Raptor Lake-HX / Refresh) and AMD Radeon RX 580 2048SP video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel UHD Graphics 32EU (Raptor Lake-HX / Refresh)

Higher Boost Clock: 1500-1650 MHz (CPU dependent) (1500-1650 MHz (CPU dependent) vs 1284MHz)
Newer Launch Date: January 2023 (January 2023 vs October 2018)

AMD Radeon RX 580 2048SP

Larger Memory Size: 4GB (System Shared vs 4GB)
Higher Bandwidth: 224.0 GB/s (System Dependent vs 224.0 GB/s)
More Shading Units: 2048 (256 vs 2048)

Basic

Intel

Label Name

AMD

January 2023

Launch Date

October 2018

Integrated

Platform

Desktop

Raptor Lake-HX

Former Codename

Intel 7

GPU Lithography

Intel UHD Graphics 32EU (Raptor Lake-HX)

Model Name

Radeon RX 580 2048SP

Raptor Lake-HX

Generation

Polaris

300 MHz

Base Clock

1168MHz

1500-1650 MHz (CPU dependent)

Boost Clock

1284MHz

Ring Bus

Bus Interface

PCIe 3.0 x16

Transistors

5,700 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.

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

Intel

Foundry

GlobalFoundries

10 nm

Process Size

14 nm

Xe-LP (Generation 12.2)

Architecture

GCN 4.0

Memory Specifications

System Shared

Memory Size

4GB

DDR4 / DDR5 (System Shared)

Memory Type

GDDR5

System Dependent

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

System Dependent

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

Display and Media

Decode Only

AV1 Encode/Decode

1.4a

DisplayPort Extensions

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

2.3 / 1.4

HDCP Version

2.1

HDMI Version

Yes

Intel Quick Sync Video

7680 x 4320 @ 60Hz

Max Resolution DP

5120 x 3200 @ 120Hz

Max Resolution eDP

4096 x 2160 @ 60Hz

Max Resolution HDMI

Number of Displays Supported

eDP 1.4b, DP 1.4a, HDMI 2.1

Outputs

1x DVI
1x HDMI 2.0b
3x DisplayPort 1.4a

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.

41.09 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.

164.4 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.

5.259 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.

328.7 GFLOPS

0.794 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.

5.154 TFLOPS

Miscellaneous

256

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

L1 Cache

16 KB (per CU)

L2 Cache

2MB

TDP

150W

1.4

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.

1.2

3.0

OpenCL Version

2.1

4.6

OpenGL

4.6

CUDA

12.1

DirectX

12 (12_0)

None

Power Connectors

1x 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.

6.6

Shader Model

6.4

Suggested PSU

450W