AMD Radeon Pro W6600M

AMD Radeon Pro W6600M

About GPU

The AMD Radeon Pro W6600M is a powerful mobile GPU, designed to meet the demanding needs of professional users who require high-performance graphics for tasks such as content creation, video editing, 3D rendering, and more. With a base clock speed of 2200MHz and a boost clock speed of 2903MHz, this GPU delivers fast and reliable performance for even the most demanding workloads. Equipped with 8GB of GDDR6 memory and a memory clock speed of 1750MHz, the Radeon Pro W6600M offers ample memory capacity and bandwidth for handling large and complex datasets, high-resolution textures, and multitasking across multiple applications. With 1792 shading units and 2MB of L2 cache, this GPU is capable of efficiently processing complex graphics workloads with ease. One notable feature of the Radeon Pro W6600M is its low TDP of 90W, which makes it an energy-efficient option for mobile workstations, allowing for extended battery life without sacrificing performance. Additionally, with a theoretical performance of 10.4 TFLOPS, this GPU offers exceptional compute power for accelerating tasks such as ray tracing, AI-based rendering, and real-time 3D visualization. Overall, the AMD Radeon Pro W6600M is a reliable and high-performance mobile GPU that is well-suited for professional users who require robust graphics capabilities for their workflow. Whether you're a digital artist, video editor, or 3D designer, this GPU can handle the most demanding tasks with ease, making it a valuable addition to any mobile workstation.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
June 2021
Model Name
Radeon Pro W6600M
Generation
Radeon Pro Mobile
Base Clock
2200MHz
Boost Clock
2903MHz
Bus Interface
PCIe 4.0 x16
Transistors
11,060 million
RT Cores
28
Compute Units
28
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.
112
Foundry
TSMC
Process Size
7 nm
Architecture
RDNA 2.0

Memory Specifications

Memory Size
8GB
Memory Type
GDDR6
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
Memory Clock
1750MHz
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.
224.0 GB/s

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.
185.8 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.
325.1 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.
20.81 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.
650.3 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.
10.608 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.
1792
L1 Cache
128 KB per Array
L2 Cache
2MB
TDP
90W
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
6.5
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.
64

Benchmarks

FP32 (float)
Score
10.608 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
11.373 +7.2%
10.114 -4.7%