Home / GPU Comparison / AMD Radeon RX 570 or NVIDIA GeForce GTX 970: What's better?

AMD Radeon RX 570 vs NVIDIA GeForce GTX 970

AMD

Radeon RX 570

NVIDIA

GeForce GTX 970

Specifications of GPUs

Radeon RX 570

GeForce GTX 970

GPU Comparison Result

Below are the results of a comparison of the characteristics and performance of the AMD Radeon RX 570 and NVIDIA GeForce GTX 970 video cards. This comparison will help you determine which one best suits your needs.

Basic

Label Name

AMD

NVIDIA

Launch Date

April 2017

September 2014

Platform

Desktop

Model Name

Radeon RX 570

GeForce GTX 970

Generation

Polaris

GeForce 900

Base Clock

1168MHz

1050MHz

Boost Clock

1244MHz

1178MHz

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.

2048

1664

Transistors

5,700 million

5,200 million

Compute Units

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.

128

104

L1 Cache

16 KB (per CU)

48 KB (per SMM)

L2 Cache

2MB

Bus Interface

PCIe 3.0 x16

Foundry

GlobalFoundries

TSMC

Process Size

14 nm

28 nm

Architecture

GCN 4.0

Maxwell 2.0

TDP

150W

148W

Memory Specifications

Memory Size

4GB

Memory Type

GDDR5

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

Memory Clock

1750MHz

1753MHz

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.

224.0 GB/s

224.4 GB/s

Display and Media

Outputs

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

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

Theoretical Performance

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.

39.81 GPixel/s

65.97 GPixel/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.

159.2 GTexel/s

122.5 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.

5.095 TFLOPS

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.

318.5 GFLOPS

122.5 GFLOPS

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.

4.894 TFlops

3.766 TFlops

Miscellaneous

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

1.3

OpenCL Version

2.1

3.0

OpenGL

4.6

CUDA

5.2

DirectX

12 (12_0)

12 (12_1)

Power Connectors

1x 6-pin

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.

Shader Model

6.4

Suggested PSU

450W

300W

Advantages

Radeon RX 570

Higher Boost Clock: 1244MHz (1244MHz vs 1178MHz)
More Shading Units: 2048 (2048 vs 1664)
Newer Launch Date: April 2017 (April 2017 vs September 2014)

GeForce GTX 970

Higher Bandwidth: 224.4 GB/s (224.0 GB/s vs 224.4 GB/s)

330

Ranks 330 among Desktop GPU on our website

659

Ranks 659 among all GPU on our website

Radeon RX 570

GeForce GTX 970

Related GPU Comparisons

Radeon RX 470

AMD, August 2016

Radeon RX 570

AMD, April 2017

Radeon RX 570X

AMD, April 2018

Radeon RX 570

AMD, April 2017

GeForce GTX 970

NVIDIA, September 2014

Radeon RX 470

AMD, August 2016