Home / GPU Comparison / NVIDIA GeForce RTX 4070 Ti or AMD Radeon RX 7800 XT: What's better?

NVIDIA GeForce RTX 4070 Ti vs AMD Radeon RX 7800 XT

NVIDIA GeForce RTX 4070 Ti

AMD Radeon RX 7800 XT

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 4070 Ti and AMD Radeon RX 7800 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 4070 Ti

Higher Boost Clock: 2610MHz (2610MHz vs 2430MHz)
More Shading Units: 7680 (7680 vs 3840)

AMD Radeon RX 7800 XT

Larger Memory Size: 16GB (12GB vs 16GB)
Higher Bandwidth: 624.1 GB/s (504.2 GB/s vs 624.1 GB/s)
Newer Launch Date: August 2023 (January 2023 vs August 2023)

Basic

NVIDIA

Label Name

AMD

January 2023

Launch Date

August 2023

Desktop

Platform

Desktop

GeForce RTX 4070 Ti

Model Name

Radeon RX 7800 XT

GeForce 40

Generation

Navi III

2310MHz

Base Clock

1295MHz

2610MHz

Boost Clock

2430MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

35,800 million

Transistors

28,100 million

RT Cores

Compute Units

240

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.

240

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.

240

TSMC

Foundry

TSMC

4 nm

Process Size

5 nm

Ada Lovelace

Architecture

RDNA 3.0

Memory Specifications

12GB

Memory Size

16GB

GDDR6X

Memory Type

GDDR6

192bit

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

1313MHz

Memory Clock

2438MHz

504.2 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.

624.1 GB/s

Theoretical Performance

208.8 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

626.4 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.

583.2 GTexel/s

40.09 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.

74.65 TFLOPS

626.4 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.

1166 GFLOPS

40.892 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.

36.574 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.

7680

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.

3840

128 KB (per SM)

L1 Cache

128 KB per Array

48MB

L2 Cache

4MB

285W

TDP

263W

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

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

8.9

CUDA

1x 16-pin

Power Connectors

2x 8-pin

6.7

Shader Model

6.7

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.

600W

Suggested PSU

700W