AMD FirePro D500
About GPU
The AMD FirePro D500 is a powerful GPU designed for professional workstations and demanding tasks such as video editing, 3D rendering, and graphic design. With a memory size of 3GB and memory type GDDR5, the D500 offers fast and efficient performance for handling large and complex projects.
The 1270MHz memory clock and 1536 shading units provide the D500 with the necessary firepower to handle graphically intensive workloads. The 768KB L2 cache further enhances the GPU's ability to handle large datasets and complex calculations. With a TDP of 274W, the D500 is a power-hungry GPU, but the trade-off is the impressive theoretical performance of 2.227 TFLOPS, making it suitable for heavy professional workloads.
The AMD FirePro D500's performance is particularly noteworthy when it comes to tasks such as 3D modeling and rendering, where its high shading unit count and memory speed come into play. Its performance in 4K video editing and rendering is also commendable, making it a solid choice for professional video editors and content creators.
Overall, the AMD FirePro D500 is a reliable and efficient GPU for professional tasks that require high computational power and fast memory speeds. While it may consume more power compared to some other GPUs, its performance and capabilities make it a worthwhile investment for professionals in need of reliable and powerful graphics processing.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
January 2014
Model Name
FirePro D500
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
3GB
Memory Type
GDDR5
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.
384bit
Memory Clock
1270MHz
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.
243.8 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.
23.20 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.
69.60 GTexel/s
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.
556.8 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.
2.272
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.
1536
L1 Cache
16 KB (per CU)
L2 Cache
768KB
TDP
274W
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
1.2
Benchmarks
FP32 (float)
Score
2.272
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS