Home / GPU Comparison / NVIDIA GeForce GTX 970 or AMD Radeon RX 9070 XT: What's better?

NVIDIA GeForce GTX 970

vs

AMD Radeon RX 9070 XT

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 970 and AMD Radeon RX 9070 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 9070 XT

Higher Boost Clock: 2430 MHz (1178MHz vs 2430 MHz)
Larger Memory Size: 16GB (4GB vs 16GB)
Higher Bandwidth: 624.1GB/s (224.4 GB/s vs 624.1GB/s)
More Shading Units: 4096 (1664 vs 4096)
Newer Launch Date: March 2025 (September 2014 vs March 2025)

Basic

NVIDIA

Label Name

AMD

September 2014

Launch Date

March 2025

Desktop

Platform

Desktop

GeForce GTX 970

Model Name

Radeon RX 9070 XT

GeForce 900

Generation

Navi IV(RX 9000)

1050MHz

Base Clock

1295 MHz

1178MHz

Boost Clock

2430 MHz

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x16

5,200 million

Transistors

Unknown

RT Cores

Compute Units

104

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.

256

TSMC

Foundry

TSMC

28 nm

Process Size

4 nm

Maxwell 2.0

Architecture

RDNA 4.0

Memory Specifications

4GB

Memory Size

16GB

GDDR5

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.

256bit

1753MHz

Memory Clock

2438 MHz

224.4 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.

624.1GB/s

Display and Media

1x DVI
1x HDMI 2.0
3x DisplayPort 1.4a

Outputs

1x HDMI 2.1a3x DisplayPort 2.1

Theoretical Performance

65.97 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.

233.3 GPixel/s

122.5 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.

622.1 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.

39.81 TFLOPS

122.5 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.

622.1 GFLOPS

3.842 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.

19.512 TFLOPS

Miscellaneous

1664

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.

4096

48 KB (per SMM)

L1 Cache

128 KB per Array

2MB

L2 Cache

4 MB

148W

TDP

220W

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

3.0

OpenCL Version

2.2

4.6

OpenGL

4.6

5.2

CUDA

12 (12_1)

DirectX

12 Ultimate (12_2)

2x 6-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.

6.4

Shader Model

6.8

300W

Suggested PSU

550 W