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AMD Radeon RX 6600 vs AMD Radeon Vega 8 Mobile

AMD Radeon RX 6600

AMD Radeon Vega 8 Mobile

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 6600 and AMD Radeon Vega 8 Mobile video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 6600

Higher Boost Clock: 2491MHz (2491MHz vs 2000MHz)
Larger Memory Size: 8GB (8GB vs System Shared)
Higher Bandwidth: 224.0 GB/s (224.0 GB/s vs System Dependent)
More Shading Units: 1792 (1792 vs 512)
Newer Launch Date: October 2021 (October 2021 vs January 2021)

Basic

AMD

Label Name

AMD

October 2021

Launch Date

January 2021

Desktop

Platform

Integrated

Radeon RX 6600

Model Name

Radeon Vega 8 Mobile

Navi II

Generation

Cezanne

1626MHz

Base Clock

300MHz

2491MHz

Boost Clock

2000MHz

PCIe 4.0 x8

Bus Interface

IGP

Memory Specifications

8GB

Memory Size

System Shared

GDDR6

Memory Type

System Shared

128bit

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

1750MHz

Memory Clock

SystemShared

224.0 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.

System Dependent

Theoretical Performance

159.4 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.

16.00 GPixel/s

279.0 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.

64.00 GTexel/s

17.86 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.

4.096 TFLOPS

558.0 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.

128.0 GFLOPS

8.749 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.

2.007 TFLOPS

Miscellaneous

1792

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.

512

128 KB per Array

L1 Cache

2MB

L2 Cache

132W

TDP

45W

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.

1.2

2.1

OpenCL Version

2.1