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AMD Radeon 780M

About GPU

The AMD Radeon 780M GPU is a powerful integrated graphics solution that offers impressive performance for a variety of computing tasks. With a base clock speed of 1500MHz and a boost clock speed of 2900MHz, this GPU is capable of handling even the most demanding applications with ease. Its 768 shading units and 2MB of L2 cache ensure smooth and efficient processing of graphics and other data. One of the standout features of the AMD Radeon 780M is its low thermal design power (TDP) of 15W, making it an energy-efficient option for laptops and other portable devices. This means that users can enjoy high-performance graphics without worrying about excessive power consumption or heat generation. The GPU's theoretical performance of 8.909 TFLOPS further demonstrates its capabilities, making it well-suited for gaming, content creation, and other intensive tasks. While its memory size and type are system shared, the GPU's robust performance and efficient design make it a great choice for users who require reliable graphics processing. Overall, the AMD Radeon 780M is a versatile and powerful integrated GPU that offers impressive performance and energy efficiency. Whether for gaming, professional use, or general computing tasks, this GPU delivers the speed and reliability that users demand from their graphics solutions. Its combination of high clock speeds, efficient power consumption, and strong theoretical performance make it a strong contender in the world of integrated graphics.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

January 2023

Model Name

Radeon 780M

Generation

Navi III IGP

Base Clock

1500MHz

Boost Clock

2900MHz

Bus Interface

PCIe 4.0 x8

Transistors

25,390 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.

Foundry

TSMC

Process Size

4 nm

Architecture

RDNA 3.0

Memory Specifications

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

Memory Clock

SystemShared

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

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.

92.80 GPixel/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.

139.2 GTexel/s

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.

17.82 TFLOPS

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.

556.8 GFLOPS

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.

8.731 TFLOPS

Miscellaneous

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.

768

L1 Cache

128 KB per Array

L2 Cache

2MB

TDP

15W

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

OpenCL Version

2.1

OpenGL

4.6

DirectX

12 Ultimate (12_2)

Power Connectors

None

Shader Model

6.7

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.