NVIDIA Quadro P5200 Max Q
About GPU
The NVIDIA Quadro P5200 Max Q GPU is a powerful and efficient professional-grade graphics card suitable for intensive workloads such as 3D rendering, video editing, and computer-aided design. With a base clock of 1316MHz and boost clock of 1569MHz, this GPU offers impressive performance for demanding tasks.
One of the standout features of the Quadro P5200 Max Q is its substantial 16GB of GDDR5 memory, allowing for the seamless handling of large datasets and complex simulations. The memory clock of 1804MHz further enhances the card's ability to quickly access and process data.
With 2560 shading units and 2MB of L2 cache, the GPU delivers stunning visual fidelity and smooth rendering, making it a top choice for professionals working in fields that require high-quality graphics.
Despite its powerful performance, the Quadro P5200 Max Q is also relatively energy-efficient, with a TDP of 100W. This means that it can deliver exceptional performance without consuming excessive power, making it suitable for use in mobile workstations and compact desktop systems.
The theoretical performance of 8.033 TFLOPS further underscores the GPU's capability to handle demanding workloads with ease, making it a versatile and reliable choice for professionals in need of a top-tier graphics solution.
Overall, the NVIDIA Quadro P5200 Max Q GPU offers an impressive combination of performance, memory capacity, and energy efficiency, making it an excellent choice for professionals in need of a high-powered graphics solution.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2018
Model Name
Quadro P5200 Max Q
Generation
Quadro Mobile
Base Clock
1316MHz
Boost Clock
1569MHz
Bus Interface
MXM-B (3.0)
Transistors
7,200 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
160
Foundry
TSMC
Process Size
16 nm
Architecture
Pascal
Memory Specifications
Memory Size
16GB
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.
256bit
Memory Clock
1804MHz
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.
230.9 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.
100.4 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.
251.0 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.
125.5 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.
251.0 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.
7.872
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.
20
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.
2560
L1 Cache
48 KB (per SM)
L2 Cache
2MB
TDP
100W
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
OpenGL
4.6
DirectX
12 (12_1)
CUDA
6.1
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Benchmarks
FP32 (float)
Score
7.872
TFLOPS
OctaneBench
Score
123
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench