NVIDIA Quadro P620
About GPU
The NVIDIA Quadro P620 GPU is a professional-grade graphics card that offers high performance and reliability for professional applications such as 3D modeling, rendering, and CAD work. With a base clock of 1266MHz and a boost clock of 1354MHz, the Quadro P620 provides fast and responsive performance, allowing users to work seamlessly with complex and demanding projects.
The 2GB GDDR5 memory provides sufficient space for handling large data sets and textures, while the memory clock of 1252MHz ensures smooth and consistent performance. The 512 shading units and 1024KB L2 cache further enhance the GPU's processing capabilities, enabling efficient rendering and simulation tasks.
With a TDP of 40W, the Quadro P620 is also energy-efficient, making it suitable for use in a variety of workstation configurations. This ensures that users can benefit from high performance without having to worry about excessive power consumption.
Overall, the NVIDIA Quadro P620 GPU offers a good balance of performance, reliability, and energy efficiency, making it a solid choice for professionals working in fields such as architecture, engineering, and content creation. Its theoretical performance of 1.386 TFLOPS means it can handle demanding tasks with ease, and its professional-grade features make it a valuable addition to any workstation setup.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2018
Model Name
Quadro P620
Generation
Quadro
Base Clock
1266MHz
Boost Clock
1354MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
2GB
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.
128bit
Memory Clock
1252MHz
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.
80.13 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.
21.66 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.
43.33 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.
21.66 GFLOPS
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.
43.33 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.
1.358
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
4
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.
512
L1 Cache
48 KB (per SM)
L2 Cache
1024KB
TDP
40W
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
3.0
Benchmarks
FP32 (float)
Score
1.358
TFLOPS
Blender
Score
128
OctaneBench
Score
24
OpenCL
Score
12475
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
OpenCL