Home / GPU Comparison / AMD Radeon RX 5700 XT or AMD Radeon RX 7900 XT: What's better?

AMD Radeon RX 5700 XT

vs

AMD Radeon RX 7900 XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 5700 XT and AMD Radeon RX 7900 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 7900 XT

Higher Boost Clock: 2394MHz (1905MHz vs 2394MHz)
Larger Memory Size: 20GB (8GB vs 20GB)
Higher Bandwidth: 800.0 GB/s (448.0 GB/s vs 800.0 GB/s)
More Shading Units: 5376 (2560 vs 5376)
Newer Launch Date: November 2022 (July 2019 vs November 2022)

Basic

AMD

Label Name

AMD

July 2019

Launch Date

November 2022

Desktop

Platform

Desktop

Radeon RX 5700 XT

Model Name

Radeon RX 7900 XT

Navi

Generation

Navi III

1605MHz

Base Clock

1500MHz

1905MHz

Boost Clock

2394MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

10,300 million

Transistors

57,700 million

RT Cores

Compute Units

160

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.

336

TSMC

Foundry

TSMC

7 nm

Process Size

5 nm

RDNA 1.0

Architecture

RDNA 3.0

Memory Specifications

8GB

Memory Size

20GB

GDDR6

Memory Type

GDDR6

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.

320bit

1750MHz

Memory Clock

2500MHz

448.0 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.

800.0 GB/s

Display and Media

1x HDMI 2.1
3x DisplayPort 1.4a

Outputs

1x HDMI 2.1a
2x DisplayPort 2.1
1x USB Type-C

Theoretical Performance

121.9 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.

459.6 GPixel/s

304.8 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.

804.4 GTexel/s

19.51 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.

103.0 TFLOPS

609.6 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.

1.609 TFLOPS

9.949 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.

50.45 TFLOPS

Miscellaneous

2560

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.

5376

L1 Cache

256 KB per Array

4MB

L2 Cache

6MB

225W

TDP

300W

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.

1.3

2.1

OpenCL Version

2.2

4.6

OpenGL

4.6

12 (12_1)

DirectX

12 Ultimate (12_2)

1x 6-pin + 1x 8-pin

Power Connectors

2x 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.

192

6.5

Shader Model

6.7

550W

Suggested PSU

700W