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AMD Radeon RX 7800M

vs

AMD Radeon RX 7600M XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 7800M and AMD Radeon RX 7600M XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 7800M

Larger Memory Size: 12GB (12GB vs 8GB)
Higher Bandwidth: 432GB/s (432GB/s vs 288.0 GB/s)
More Shading Units: 3840 (3840 vs 2048)
Newer Launch Date: September 2024 (September 2024 vs January 2023)

AMD Radeon RX 7600M XT

Higher Boost Clock: 2608MHz (2145 MHz vs 2608MHz)

Basic

AMD

Label Name

AMD

September 2024

Launch Date

January 2023

Mobile

Platform

Mobile

Radeon RX 7800M

Model Name

Radeon RX 7600M XT

Navi Mobile

Generation

Navi Mobile

1825 MHz

Base Clock

1437MHz

2145 MHz

Boost Clock

2608MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

28.1 billion

Transistors

13,300 million

RT Cores

Compute Units

240

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.

128

TSMC

Foundry

TSMC

5 nm

Process Size

6 nm

RDNA 3.0

Architecture

RDNA 3.0

Memory Specifications

12GB

Memory Size

8GB

GDDR6

Memory Type

GDDR6

192bit

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

2250 MHz

Memory Clock

2250MHz

432GB/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.

288.0 GB/s

Display and Media

Portable Device Dependent

Outputs

Portable Device Dependent

Theoretical Performance

401.3 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.

166.9 GPixel/s

560.4 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.

333.8 GTexel/s

71.73 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.

42.73 TFLOPS

1121 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.

667.6 GFLOPS

36.587 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.

20.933 TFLOPS

Miscellaneous

3840

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.

2048

256 KB per Array

L1 Cache

128 KB per Array

6 MB

L2 Cache

2MB

180W

TDP

120W

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.

1.3

2.2

OpenCL Version

2.2

4.6

OpenGL

4.6

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

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.

6.7

Shader Model

6.7