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ATI Radeon HD 5670 640SP Edition

vs

AMD Radeon Vega 7

GPU Comparison Result

Below are the results of a comparison of ATI Radeon HD 5670 640SP Edition and AMD Radeon Vega 7 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

ATI Radeon HD 5670 640SP Edition

Larger Memory Size: 512MB (512MB vs System Shared)
Higher Bandwidth: 64.00 GB/s (64.00 GB/s vs System Dependent)
More Shading Units: 640 (640 vs 448)

AMD Radeon Vega 7

Newer Launch Date: January 2020 (July 2010 vs January 2020)

Basic

ATI

Label Name

AMD

July 2010

Launch Date

January 2020

Desktop

Platform

Integrated

Radeon HD 5670 640SP Edition

Model Name

Radeon Vega 7 (Ryzen 4000/5000/7030)

Evergreen

Generation

Renoir / Lucienne / Cezanne / Barcelo / Barcelo-R

Base Clock

300MHz

Boost Clock

Up to 2000 MHz, depending on processor

PCIe 2.0 x16

Bus Interface

IGP

1,040 million

Transistors

Compute Units

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

40 nm

Process Size

7 nm

TeraScale 2

Architecture

Vega / GCN 5

Memory Specifications

512MB

Memory Size

System Shared

GDDR5

Memory Type

System Shared

128bit

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.

System Shared

1000MHz

Memory Clock

SystemShared

64.00 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.

System Dependent

Display and Media

1x DVI
1x HDMI 1.3a
1x DisplayPort 1.1

Outputs

No outputs

Theoretical Performance

6.000 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.

15.20 GPixel/s

24.00 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.

53.20 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.

3.405 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.

106.4 GFLOPS

0.941 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.

1.736 TFLOPS

Miscellaneous

640

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.

448

8 KB (per CU)

L1 Cache

256KB

L2 Cache

64W

TDP

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

OpenCL Version

2.1

4.4

OpenGL

4.6

11.2 (11_0)

DirectX

12 (12_1)

None

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.

5.0

Shader Model

6.4

250W

Suggested PSU