NVIDIA Quadro P3200 Max Q
About GPU
The NVIDIA Quadro P3200 Max Q GPU is a powerful professional graphics card designed for demanding workloads such as 3D rendering, video editing, and design applications. With a base clock of 1139MHz and a boost clock of 1404MHz, this GPU delivers fast and responsive performance, allowing users to work fluidly and efficiently on complex projects.
The 6GB of GDDR5 memory and a memory clock of 1753MHz ensure that the GPU can handle large datasets and high-resolution textures with ease, making it suitable for professional applications in fields such as architecture, engineering, and content creation. The 1792 shading units and 1536KB of L2 cache further contribute to the GPU's overall performance, enabling smooth and detailed visual output.
One of the standout features of the Quadro P3200 Max Q is its low TDP of 75W, which makes it a power-efficient option for professionals who require high-performance graphics in a mobile workstation. Despite its lower power consumption, the GPU still delivers a theoretical performance of 5.032 TFLOPS, ensuring that users can tackle demanding tasks without compromise.
Overall, the NVIDIA Quadro P3200 Max Q GPU is a compelling choice for professionals in need of a high-performance, power-efficient graphics solution for demanding workloads. Its combination of impressive technical specifications and energy efficiency make it a valuable asset for professionals working in fields that demand uncompromising visual performance.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2018
Model Name
Quadro P3200 Max Q
Generation
Quadro Mobile
Base Clock
1139MHz
Boost Clock
1404MHz
Bus Interface
MXM-B (3.0)
Memory Specifications
Memory Size
6GB
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.
192bit
Memory Clock
1753MHz
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.
168.3 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.
89.86 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.
157.2 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.
78.62 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.
157.2 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.
4.931
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.
14
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.
1792
L1 Cache
48 KB (per SM)
L2 Cache
1536KB
TDP
75W
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
4.931
TFLOPS
OctaneBench
Score
87
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench