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AMD Radeon 680M

About GPU

The AMD Radeon 680M GPU is a powerful and efficient integrated GPU that offers impressive performance for a variety of tasks. With a base clock of 2000MHz and a boost clock of 2200MHz, this GPU is able to handle demanding graphical processes with ease. The 768 shading units and 2MB L2 cache ensure smooth and fast rendering, making it an excellent choice for gaming and graphics-intensive applications. One of the standout features of the AMD Radeon 680M GPU is its impressive theoretical performance of 3.379 TFLOPS. This makes it well-suited for handling complex computational tasks and delivering high-quality visuals. The 3DMark Time Spy score of 2352 further demonstrates the GPU's capability to handle modern gaming and VR experiences. Despite its impressive performance, the AMD Radeon 680M GPU manages to maintain a relatively low TDP of 50W, making it a power-efficient option for laptops and other mobile devices. Furthermore, the system shared memory size and type ensure that the GPU can adapt to the memory needs of different applications, providing flexibility and efficient resource usage. Overall, the AMD Radeon 680M GPU is a strong choice for users who require high performance and efficiency in their graphics processing. Whether for gaming, content creation, or other demanding tasks, this GPU delivers impressive results and is a worthy consideration for those in need of a reliable integrated graphics solution.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

January 2022

Model Name

Radeon 680M

Generation

Navi II IGP

Base Clock

2000MHz

Boost Clock

2200MHz

Bus Interface

PCIe 4.0 x8

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.

70.40 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.

105.6 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.

6.758 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.

211.2 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.

3.311 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

50W

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

2.0