Home / AMD / AMD Radeon 660M: Performance and Specs

AMD Radeon 660M

About GPU

The AMD Radeon 660M is a great GPU for integrated graphics, providing reliable and efficient performance for a variety of tasks including gaming and multimedia. With a base clock speed of 1500MHz and a boost clock of 1900MHz, this GPU is capable of handling demanding applications with ease. The 384 shading units and 2MB L2 cache provide smooth and consistent performance, while the 15W TDP ensures that power consumption is kept to a minimum. One of the standout features of the Radeon 660M is its system shared memory size and type, allowing for seamless integration with the system's RAM and enabling a more efficient use of resources. The theoretical performance of 1.459 TFLOPS ensures that it can handle even the most demanding tasks without breaking a sweat. In terms of gaming, the Radeon 660M is capable of running modern titles at medium to high settings, providing a smooth and enjoyable gaming experience. Multimedia tasks such as video editing and rendering are also handled with ease, making this GPU a great choice for content creators and multimedia professionals. Overall, the AMD Radeon 660M is a reliable and efficient GPU that delivers excellent performance for integrated graphics. Its combination of high clock speeds, system shared memory, and efficient power consumption make it a great choice for both gaming and multimedia tasks. Whether you're a casual gamer or a professional content creator, the Radeon 660M has the power and versatility to meet your needs.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

January 2022

Model Name

Radeon 660M

Generation

Rembrandt

Base Clock

1500MHz

Boost Clock

1900MHz

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.

30.40 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.

45.60 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.

2.918 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.

91.20 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.

1.43 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.

384

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.

1.2

OpenCL Version

2.0