Home / GPU Comparison / AMD Radeon RX 9070 XT or NVIDIA GeForce RTX 4080 SUPER: What's better?

AMD Radeon RX 9070 XT

vs

NVIDIA GeForce RTX 4080 SUPER

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 9070 XT and NVIDIA GeForce RTX 4080 SUPER video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 9070 XT

Newer Launch Date: March 2025 (March 2025 vs January 2024)

NVIDIA GeForce RTX 4080 SUPER

Higher Boost Clock: 2505MHz (2430 MHz vs 2505MHz)
Higher Bandwidth: 716.8 GB/s (624.1GB/s vs 716.8 GB/s)
More Shading Units: 10240 (4096 vs 10240)

Basic

AMD

Label Name

NVIDIA

March 2025

Launch Date

January 2024

Desktop

Platform

Desktop

Radeon RX 9070 XT

Model Name

GeForce RTX 4080 SUPER

Navi IV(RX 9000)

Generation

GeForce 40

1295 MHz

Base Clock

2205MHz

2430 MHz

Boost Clock

2505MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

Unknown

Transistors

RT Cores

Compute Units

256

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

4 nm

Process Size

RDNA 4.0

Architecture

Memory Specifications

16GB

Memory Size

16GB

GDDR6

Memory Type

GDDR6X

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.

256bit

2438 MHz

Memory Clock

1400MHz

624.1GB/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.

716.8 GB/s

Display and Media

1x HDMI 2.1a3x DisplayPort 2.1

Outputs

Theoretical Performance

233.3 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.

280.6 GPixel/s

622.1 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.

801.6 GTexel/s

39.81 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.

51.30 TFLOPS

622.1 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.

801.6 GFLOPS

19.512 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.

52.326 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

4096

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.

10240

128 KB per Array

L1 Cache

128 KB (per SM)

4 MB

L2 Cache

64MB

220W

TDP

340W

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

2.2

OpenCL Version

3.0

4.6

OpenGL

12 Ultimate (12_2)

DirectX

2x 8-pin

Power Connectors

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.

6.8

Shader Model

550 W

Suggested PSU