Home / GPU Comparison / AMD Radeon Vega 3 or NVIDIA GeForce RTX 4090 Ti: What's better?

AMD Radeon Vega 3

vs

NVIDIA GeForce RTX 4090 Ti

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Vega 3 and NVIDIA GeForce RTX 4090 Ti video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 4090 Ti

Higher Boost Clock: 2565MHz (Up to 1200 MHz vs 2565MHz)
Larger Memory Size: 24GB (Shared system memory vs 24GB)
Higher Bandwidth: 1152 GB/s (Up to 38.4 GB/s with dual-channel DDR4-2400 vs 1152 GB/s)
More Shading Units: 18176 (192 vs 18176)

Basic

Intel

Label Name

NVIDIA

January 2018

Launch Date

Integrated

Platform

Desktop

Raven Ridge / Picasso

Former Codename

14 nm / 12 nm, APU-dependent

GPU Lithography

AMD Radeon Vega 3

Model Name

GeForce RTX 4090 Ti

Radeon Vega Mobile

Generation

GeForce 40

600 MHz

Base Clock

2325MHz

Up to 1200 MHz

Boost Clock

2565MHz

Integrated

Bus Interface

PCIe 4.0 x16

Transistors

76,300 million

RT Cores

142

Compute Units

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.

568

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.

568

GlobalFoundries

Foundry

TSMC

14 nm / 12 nm, APU-dependent

Process Size

5 nm

Vega

Architecture

Ada Lovelace

Memory Specifications

Shared system memory

Memory Size

24GB

DDR4 shared system memory

Memory Type

GDDR6X

Dual-channel system memory, platform dependent

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

Up to DDR4-2400, platform dependent

Memory Clock

1500MHz

Up to 38.4 GB/s with dual-channel DDR4-2400

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.

1152 GB/s

Display and Media

Yes

AMD FreeSync

No hardware support

AV1 Encode/Decode

Encode/Decode

H.264 Hardware Encode/Decode

Encode/Decode

H.265 HEVC Hardware Encode/Decode

No hardware support

H.266 VVC Hardware Encode/Decode

Intel Quick Sync Video

Up to 3, platform dependent

Number of Displays Supported

HDMI, DisplayPort; device dependent

Outputs

1x HDMI 2.1
3x DisplayPort 1.4a

Theoretical Performance

4.8 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.

492.5 GPixel/s

14.4 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.

1457 GTexel/s

0.92 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.

93.24 TFLOPS

28.8 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.

1457 GFLOPS

0.46 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.

91.375 TFLOPS

AI Features

Intel Deep Learning Boost on GPU

Miscellaneous

PCIe 3.0

PCI Express Version

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.

142

192

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.

18176

L1 Cache

128 KB (per SM)

L2 Cache

96MB

Shared with processor; typically 15 W APU TDP, 12-25 W configurable

TDP

600W

1.2

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

1.2

OpenCL Version

3.0

4.6

OpenGL

4.6

CUDA

8.9

12 (12_1)

DirectX

12 Ultimate (12_2)

None

Power Connectors

2x 16-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

Shader Model

6.7

Suggested PSU

1000W