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AMD Radeon Vega 8 vs AMD Radeon 660M

AMD Radeon Vega 8

AMD Radeon 660M

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Vega 8 and AMD Radeon 660M video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon Vega 8

Higher Boost Clock: 2000MHz (2000MHz vs 1900MHz)
More Shading Units: 512 (512 vs 384)

AMD Radeon 660M

Newer Launch Date: January 2022 (January 2021 vs January 2022)

Basic

AMD

Label Name

AMD

January 2021

Launch Date

January 2022

Integrated

Platform

Integrated

Radeon Vega 8

Model Name

Radeon 660M

Cezanne

Generation

Rembrandt

300MHz

Base Clock

1500MHz

2000MHz

Boost Clock

1900MHz

IGP

Bus Interface

PCIe 4.0 x8

9,800 million

Transistors

13,100 million

RT Cores

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.

TSMC

Foundry

TSMC

7 nm

Process Size

6 nm

GCN 5.1

Architecture

RDNA 2.0

Memory Specifications

System Shared

Memory Size

System Shared

Memory Type

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.

System Shared

SystemShared

Memory Clock

SystemShared

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.

System Dependent

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.

30.40 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.

45.60 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.

2.918 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.

91.20 GFLOPS

2.089 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.

1.43 TFLOPS

Miscellaneous

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.

384

L1 Cache

128 KB per Array

L2 Cache

2MB

45W

TDP

15W

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.

1.2

2.1

OpenCL Version

2.0

4.6

OpenGL

4.6

12 (12_1)

DirectX

12 Ultimate (12_2)

None

Power Connectors

None

6.4

Shader Model

6.5

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.