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AMD Radeon RX 5600 XT

vs

AMD Radeon HD 7870 XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 5600 XT and AMD Radeon HD 7870 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 5600 XT

Higher Boost Clock: 1560MHz (1560MHz vs 975MHz)
Larger Memory Size: 6GB (6GB vs 2GB)
Higher Bandwidth: 288.0 GB/s (288.0 GB/s vs 192.0 GB/s)
More Shading Units: 2304 (2304 vs 1536)
Newer Launch Date: January 2020 (January 2020 vs November 2012)

Basic

AMD

Label Name

AMD

January 2020

Launch Date

November 2012

Desktop

Platform

Desktop

Radeon RX 5600 XT

Model Name

Radeon HD 7870 XT

Navi

Generation

Southern Islands

1130MHz

Base Clock

925MHz

1560MHz

Boost Clock

975MHz

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

10,300 million

Transistors

4,313 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.

TSMC

Foundry

TSMC

7 nm

Process Size

28 nm

RDNA 1.0

Architecture

GCN 1.0

Memory Specifications

6GB

Memory Size

2GB

GDDR6

Memory Type

GDDR5

192bit

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

1500MHz

Memory Clock

1500MHz

288.0 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.

192.0 GB/s

Theoretical Performance

99.84 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.

31.20 GPixel/s

224.6 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.

93.60 GTexel/s

14.38 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.

449.3 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.

748.8 GFLOPS

7.332 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.

2.935 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.

1536

L1 Cache

16 KB (per CU)

3MB

L2 Cache

512KB

150W

TDP

185W

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.

1.2

2.1

OpenCL Version

1.2

4.6

OpenGL

4.6

12 (12_1)

DirectX

12 (11_1)

1x 8-pin

Power Connectors

2x 6-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.

6.5

Shader Model

5.1

450W

Suggested PSU

450W

Benchmarks

FP32 (float) / TFLOPS