NVIDIA Quadro P620 Mobile
About GPU
The NVIDIA Quadro P620 Mobile GPU offers impressive professional-grade performance in a compact and energy-efficient package. With a base clock speed of 1177MHz and a boost clock speed of 1443MHz, this GPU delivers smooth and responsive performance for a wide range of professional applications.
The 4GB of GDDR5 memory and a memory clock speed of 1502MHz ensure that it can efficiently handle complex graphical workloads, making it an ideal choice for tasks such as 3D modeling, rendering, and animation. The 512 shading units and 1024KB L2 cache further enhance its capabilities, allowing for faster and more efficient processing of graphical data.
With a low TDP of 40W, the NVIDIA Quadro P620 Mobile GPU is energy-efficient, making it suitable for mobile workstations and laptops. Despite its low power consumption, it delivers a theoretical performance of 1.478 TFLOPS, allowing professionals to tackle demanding graphics tasks with ease.
The GPU's professional-grade platform and high-performance capabilities make it a valuable asset for professionals in industries such as architecture, engineering, graphic design, and content creation. Its compact size and energy efficiency also make it well-suited for use in portable workstations and laptops, providing professionals with the flexibility to work on graphics-intensive tasks wherever they go.
Overall, the NVIDIA Quadro P620 Mobile GPU offers a winning combination of professional-grade performance, energy efficiency, and compact design, making it a compelling choice for professionals seeking reliable graphics capabilities on the go.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2018
Model Name
Quadro P620 Mobile
Generation
Quadro Mobile
Base Clock
1177MHz
Boost Clock
1443MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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
1502MHz
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.
96.13 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.
23.09 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.
46.18 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.
23.09 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.
46.18 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.
1.508
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
1.508
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS