AMD Radeon RX 6550M

AMD Radeon RX 6550M

About GPU

The AMD Radeon RX 6550M is a strong contender in the mobile GPU market. With a base clock speed of 2000MHz and a boost clock speed of 2840MHz, this GPU offers fast and efficient performance for a variety of tasks, including gaming, video editing, and more. The 4GB of GDDR6 memory, with a clock speed of 2250MHz, ensures smooth and lag-free operation, even when dealing with demanding applications and games. With 1024 shading units and 1024KB of L2 cache, the Radeon RX 6550M offers impressive rendering capabilities, making it suitable for both gaming and professional graphics work. The TDP of 80W ensures that the GPU doesn't consume too much power, making it a viable option for laptops and other portable devices. The theoretical performance of 5.816 TFLOPS indicates that this GPU can handle even the most graphically intensive games and applications with ease. The Radeon RX 6550M is also capable of supporting virtual reality and 4K gaming, further solidifying its position as a high-performance mobile GPU. In conclusion, the AMD Radeon RX 6550M is a top-notch mobile GPU that delivers exceptional performance across a wide range of tasks. Whether you're a gamer, content creator, or professional graphic designer, this GPU has the power and capabilities to meet your needs. Its efficient power consumption and strong rendering capabilities make it a highly recommended option for anyone in the market for a mobile GPU.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
January 2023
Model Name
Radeon RX 6550M
Generation
Navi Mobile
Base Clock
2000MHz
Boost Clock
2840MHz
Bus Interface
PCIe 4.0 x4

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.
64bit
Memory Clock
2250MHz
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.
144.0 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.
90.88 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.
181.8 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.
11.63 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.
363.5 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.
5.7 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.
1024
L1 Cache
128 KB per Array
L2 Cache
1024KB
TDP
80W
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
2.2

Benchmarks

FP32 (float)
Score
5.7 TFLOPS
Vulkan
Score
54373
OpenCL
Score
46389

Compared to Other GPU

FP32 (float) / TFLOPS
5.712 +0.2%
5.65 -0.9%
5.641 -1%
Vulkan
55223 +1.6%
54984 +1.1%
52494 -3.5%
OpenCL
48324 +4.2%
48080 +3.6%
46137 -0.5%
45244 -2.5%