NVIDIA Quadro P520 Mobile
About GPU
The NVIDIA Quadro P520 Mobile GPU is a solid performer in the professional graphics market. With a base clock of 1303MHz and a boost clock of 1493MHz, this GPU provides the speed and power necessary for demanding professional applications. The 2GB of GDDR5 memory and 1502MHz memory clock ensure smooth and efficient operation, even when working on complex projects.
With 384 shading units and a 512KB L2 cache, the Quadro P520 delivers impressive graphics performance and responsiveness. Its 18W TDP makes it a relatively energy-efficient option, making it suitable for use in mobile workstations where power consumption is a concern.
The theoretical performance of 1.147 TFLOPS means that this GPU can handle a wide range of professional tasks, from 3D modeling and rendering to video editing and simulation. Its reliable performance and stability make it a valuable asset for professionals who rely on their graphics hardware to deliver consistent results.
Overall, the NVIDIA Quadro P520 Mobile GPU is a strong choice for professionals in need of a dependable and capable graphics solution for demanding workloads. Its combination of performance, efficiency, and stability make it a valuable investment for those in the professional graphics industry.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2019
Model Name
Quadro P520 Mobile
Generation
Quadro Mobile
Base Clock
1303MHz
Boost Clock
1493MHz
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.
64bit
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.
48.06 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.
23.89 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.
35.83 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.
17.92 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.
35.83 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.
1.17
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.
3
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.
384
L1 Cache
48 KB (per SM)
L2 Cache
512KB
TDP
18W
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
1.17
TFLOPS
OctaneBench
Score
19
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench