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AMD Radeon RX 580

vs

AMD Radeon E9173 PCIe

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 580 and AMD Radeon E9173 PCIe video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 580

Higher Boost Clock: 1340MHz (1340MHz vs 1219MHz)
Larger Memory Size: 8GB (8GB vs 2GB)
Higher Bandwidth: 256.0 GB/s (256.0 GB/s vs 48.00 GB/s)
More Shading Units: 2304 (2304 vs 512)

AMD Radeon E9173 PCIe

Newer Launch Date: October 2017 (April 2017 vs October 2017)

Basic

AMD

Label Name

AMD

April 2017

Launch Date

October 2017

Desktop

Platform

Mobile

Radeon RX 580

Model Name

Radeon E9173 PCIe

Polaris

Generation

Embedded

1257MHz

Base Clock

1124MHz

1340MHz

Boost Clock

1219MHz

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x8

5,700 million

Transistors

2,200 million

Compute Units

144

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.

GlobalFoundries

Foundry

GlobalFoundries

14 nm

Process Size

14 nm

GCN 4.0

Architecture

GCN 4.0

Memory Specifications

8GB

Memory Size

2GB

GDDR5

Memory Type

GDDR5

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

1500MHz

256.0 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.

48.00 GB/s

Display and Media

1x HDMI 2.0b
3x DisplayPort 1.4a

Outputs

1x DisplayPort 1.4a
2x mini-DisplayPort 1.4a

Theoretical Performance

42.88 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.

19.50 GPixel/s

193.0 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.

39.01 GTexel/s

6.175 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.

1248 GFLOPS

385.9 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.

78.02 GFLOPS

6.299 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.

1.273 TFLOPS

Miscellaneous

2304

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.

512

16 KB (per CU)

L1 Cache

16 KB (per CU)

2MB

L2 Cache

256KB

185W

TDP

35W

1.2

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

2.1

OpenCL Version

2.1

4.6

OpenGL

4.6

12 (12_0)

DirectX

12 (12_0)

1x 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.

6.4

Shader Model

6.4

450W

Suggested PSU