AMD Radeon Pro V620
About GPU
The AMD Radeon Pro V620 is a powerful and high-performance GPU designed for professional use in desktop workstations. With a base clock of 1825MHz and a boost clock of 2200MHz, this GPU offers outstanding speed and responsiveness, making it well-suited for demanding tasks such as 3D rendering, CAD design, video editing, and more.
One of the standout features of the Radeon Pro V620 is its impressive 32GB of GDDR6 memory, allowing for seamless multitasking and smooth handling of large, complex datasets. The 2000MHz memory clock ensures fast data transfer speeds, further enhancing the GPU's overall performance.
With 4608 shading units and 4MB of L2 cache, the Radeon Pro V620 delivers exceptional parallel processing capabilities, enabling quick and efficient execution of graphics and compute tasks. The 300W TDP may require adequate cooling solutions, but it also speaks to the GPU's substantial power and capabilities.
Theoretical performance is rated at an impressive 20.28 TFLOPS, making the Radeon Pro V620 a reliable choice for professionals who require high computing power for their workloads.
Overall, the AMD Radeon Pro V620 GPU is a top-notch option for professionals in fields such as engineering, content creation, and scientific research. Its combination of high clock speeds, ample memory, and robust processing capabilities makes it a solid investment for those in need of a reliable and powerful GPU for their workstation.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
November 2021
Model Name
Radeon Pro V620
Generation
Radeon Pro
Base Clock
1825MHz
Boost Clock
2200MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
32GB
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.
256bit
Memory Clock
2000MHz
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.
512.0 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.
281.6 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.
633.6 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.
40.55 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.
1267 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.
20.686
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.
4608
L1 Cache
128 KB per Array
L2 Cache
4MB
TDP
300W
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
20.686
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS