Home / GPU Comparison / NVIDIA GeForce RTX 2060 SUPER or AMD Radeon RX 7900 XTX: What's better?

NVIDIA GeForce RTX 2060 SUPER

vs

AMD Radeon RX 7900 XTX

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 2060 SUPER and AMD Radeon RX 7900 XTX video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 7900 XTX

Higher Boost Clock: 2499MHz (1650MHz vs 2499MHz)
Larger Memory Size: 24GB (8GB vs 24GB)
Higher Bandwidth: 960.0 GB/s (448.0 GB/s vs 960.0 GB/s)
More Shading Units: 6144 (2176 vs 6144)
Newer Launch Date: November 2022 (July 2019 vs November 2022)

Basic

NVIDIA

Label Name

AMD

July 2019

Launch Date

November 2022

Desktop

Platform

Desktop

GeForce RTX 2060 SUPER

Model Name

Radeon RX 7900 XTX

GeForce 20

Generation

Navi III

1470MHz

Base Clock

1855MHz

1650MHz

Boost Clock

2499MHz

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x16

10,800 million

Transistors

57,700 million

RT Cores

Compute Units

272

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

136

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.

384

TSMC

Foundry

TSMC

12 nm

Process Size

5 nm

Turing

Architecture

RDNA 3.0

Memory Specifications

8GB

Memory Size

24GB

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.

384bit

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.

960.0 GB/s

Display and Media

1x DVI
1x HDMI 2.0
2x DisplayPort 1.4a
1x USB Type-C

Outputs

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

Theoretical Performance

105.6 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.

479.8 GPixel/s

224.4 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.

959.6 GTexel/s

14.36 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.

122.8 TFLOPS

224.4 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.

1.919 TFLOPS

7.037 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.

62.648 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.

2176

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.

6144

64 KB (per SM)

L1 Cache

256 KB per Array

4MB

L2 Cache

6MB

175W

TDP

355W

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

7.5

CUDA

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

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

6.6

Shader Model

6.7

450W

Suggested PSU

750W