Home / GPU Comparison / AMD Radeon Vega 8 Mobile or NVIDIA GeForce RTX 4070: What's better?

AMD Radeon Vega 8 Mobile vs NVIDIA GeForce RTX 4070

AMD Radeon Vega 8 Mobile

NVIDIA GeForce RTX 4070

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Vega 8 Mobile and NVIDIA GeForce RTX 4070 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 4070

Higher Boost Clock: 2475MHz (2000MHz vs 2475MHz)
Larger Memory Size: 12GB (System Shared vs 12GB)
Higher Bandwidth: 504.2 GB/s (System Dependent vs 504.2 GB/s)
More Shading Units: 5888 (512 vs 5888)
Newer Launch Date: April 2023 (January 2021 vs April 2023)

Basic

AMD

Label Name

NVIDIA

January 2021

Launch Date

April 2023

Integrated

Platform

Desktop

Radeon Vega 8 Mobile

Model Name

GeForce RTX 4070

Cezanne

Generation

GeForce 40

300MHz

Base Clock

1920MHz

2000MHz

Boost Clock

2475MHz

IGP

Bus Interface

PCIe 4.0 x16

9,800 million

Transistors

35,800 million

RT Cores

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.

184

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.

184

TSMC

Foundry

TSMC

7 nm

Process Size

5 nm

GCN 5.1

Architecture

Ada Lovelace

Memory Specifications

System Shared

Memory Size

12GB

System Shared

Memory Type

GDDR6X

System Shared

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.

192bit

SystemShared

Memory Clock

1313MHz

System Dependent

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.

504.2 GB/s

Theoretical Performance

16.00 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.

158.4 GPixel/s

64.00 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.

455.4 GTexel/s

4.096 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.

29.15 TFLOPS

128.0 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.

455.4 GFLOPS

2.007 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.

29.733 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.

512

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.

5888

L1 Cache

128 KB (per SM)

L2 Cache

36MB

45W

TDP

200W

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

2.1

OpenCL Version

3.0

4.6

OpenGL

4.6

12 (12_1)

DirectX

12 Ultimate (12_2)

CUDA

8.9

None

Power Connectors

1x 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.

6.4

Shader Model

6.7

Suggested PSU

550W