AMD Radeon Pro W5500M
About GPU
The AMD Radeon Pro W5500M is a powerful mobile GPU that offers impressive performance for professional workloads. With a base clock of 1000MHz and a boost clock of 1700MHz, this GPU delivers fast and efficient rendering for demanding tasks such as 3D modeling, video editing, and content creation.
Equipped with 4GB of GDDR6 memory and a memory clock of 1750MHz, the Radeon Pro W5500M provides ample bandwidth for handling large datasets and high-resolution textures. Its 1408 shading units and 2MB of L2 cache further enhance its ability to process complex graphical computations with ease.
Despite its high performance, the Radeon Pro W5500M maintains a reasonable TDP of 85W, making it suitable for mobile workstations and laptops without compromising on efficiency. The theoretical performance of 4.787 TFLOPS ensures that users can rely on this GPU to deliver consistent and reliable results for their professional projects.
In terms of reliability and stability, the AMD Radeon Pro W5500M is backed by robust driver support and optimization for industry-standard software applications, ensuring compatibility and seamless integration with popular creative tools.
Overall, the AMD Radeon Pro W5500M is a compelling choice for professionals in need of a high-performance mobile GPU. Its impressive specifications and reliable performance make it a strong contender for handling demanding workloads in various professional workflows.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
February 2020
Model Name
Radeon Pro W5500M
Generation
Radeon Pro Mobile
Base Clock
1000MHz
Boost Clock
1700MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
4GB
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.
54.40 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.
149.6 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.
9.574 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.
299.2 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.
4.883
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.
1408
L2 Cache
2MB
TDP
85W
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
Benchmarks
FP32 (float)
Score
4.883
TFLOPS
3DMark Time Spy
Score
3419
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy