Home / GPU Comparison / AMD Radeon Pro 555 or AMD Radeon Pro 5300M: What's better?

AMD Radeon Pro 555

vs

AMD Radeon Pro 5300M

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Pro 555 and AMD Radeon Pro 5300M video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon Pro 5300M

Larger Memory Size: 4GB (2GB vs 4GB)
Higher Bandwidth: 192.0 GB/s (81.60 GB/s vs 192.0 GB/s)
More Shading Units: 1280 (768 vs 1280)
Newer Launch Date: November 2019 (June 2017 vs November 2019)

Basic

AMD

Label Name

AMD

June 2017

Launch Date

November 2019

Mobile

Platform

Mobile

Radeon Pro 555

Model Name

Radeon Pro 5300M

Radeon Pro Mac

Generation

Radeon Pro Mac

Base Clock

1000MHz

Boost Clock

1250MHz

PCIe 3.0 x8

Bus Interface

PCIe 4.0 x8

3,000 million

Transistors

6,400 million

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.

GlobalFoundries

Foundry

TSMC

14 nm

Process Size

7 nm

GCN 4.0

Architecture

RDNA 1.0

Memory Specifications

2GB

Memory Size

4GB

GDDR5

Memory Type

GDDR6

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.

128bit

1275MHz

Memory Clock

1500MHz

81.60 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.

192.0 GB/s

Theoretical Performance

13.60 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.

40.00 GPixel/s

40.80 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.

100.0 GTexel/s

1306 GFLOPS

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.

6.400 TFLOPS

81.60 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.

200.0 GFLOPS

1.332 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.

3.264 TFLOPS

Miscellaneous

768

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.

1280

16 KB (per CU)

L1 Cache

1024KB

L2 Cache

2MB

75W

TDP

85W

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

2.1

4.6

OpenGL

4.6

12 (12_0)

DirectX

12 (12_1)

None

Power Connectors

None

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

6.5

Benchmarks

FP32 (float) / TFLOPS