Home / GPU Comparison / Intel UHD Graphics 730 or AMD Instinct MI210: What's better?

Intel UHD Graphics 730

vs

AMD Instinct MI210

GPU Comparison Result

Below are the results of a comparison of Intel UHD Graphics 730 and AMD Instinct MI210 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Instinct MI210

Larger Memory Size: 64GB (System Shared vs 64GB)
Higher Bandwidth: 1638 GB/s (System Dependent vs 1638 GB/s)
More Shading Units: 6656 (192 vs 6656)
Newer Launch Date: December 2021 (March 2021 vs December 2021)

Basic

Intel

Label Name

AMD

March 2021

Launch Date

December 2021

Integrated

Platform

Professional

Intel UHD Graphics 730

Model Name

Radeon Instinct MI210

Intel UHD Graphics

Generation

Radeon Instinct

Base Clock

1000MHz

Boost Clock

1700MHz

Ring Bus

Bus Interface

PCIe 4.0 x16

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.

Intel

Foundry

Xe-LP (Gen12)

Architecture

Memory Specifications

System Shared

Memory Size

64GB

System Shared

Memory Type

HBM2e

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.

4096bit

System Shared

Memory Clock

1600MHz

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.

1638 GB/s

Display and Media

Decode Only

AV1 Encode/Decode

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

H.266 VVC Hardware Encode/Decode

Yes

Intel Quick Sync Video

Motherboard Dependent

Outputs

Theoretical Performance

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.

707.2 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.

181.0 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.

22.63 TFLOPS

0.4992 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.

23.083 TFLOPS

AI Features

Intel Deep Learning Boost on GPU

Miscellaneous

192

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.

6656

L1 Cache

16 KB (per CU)

L2 Cache

16MB

TDP

300W

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.

3.0

OpenCL Version

4.6

OpenGL

12 (12_1)

DirectX

6.6

Shader Model