NVIDIA Quadro P2200
About GPU
The NVIDIA Quadro P2200 GPU is a professional-grade graphics card that delivers exceptional performance for professional workloads, such as 3D rendering, CAD design, and video editing. With a base clock of 1000MHz and a boost clock of 1493MHz, the P2200 offers fast and consistent performance for demanding tasks.
With a memory size of 5GB and GDDR5X memory type, the P2200 provides ample memory bandwidth for handling large datasets and complex visualizations. The 1251MHz memory clock ensures quick access to data, resulting in smooth and efficient workflow.
The P2200 is equipped with 1280 shading units and 1280KB of L2 cache, allowing for parallel processing and improved rendering capabilities. With a TDP of 75W, the P2200 is energy-efficient, making it a suitable choice for professional workstations.
The theoretical performance of 3.822 TFLOPS ensures that the P2200 is capable of handling complex simulations and calculations with ease. Whether it's designing intricate 3D models or editing high-resolution videos, the P2200 delivers the performance and reliability required for professional applications.
Overall, the NVIDIA Quadro P2200 GPU is a powerhouse for professional workloads, offering exceptional performance, efficient power consumption, and reliable operation. If you are in need of a graphics card for demanding professional tasks, the P2200 is definitely worth considering.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
June 2019
Model Name
Quadro P2200
Generation
Quadro
Base Clock
1000MHz
Boost Clock
1493MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
5GB
Memory Type
GDDR5X
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.
160bit
Memory Clock
1251MHz
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.
200.2 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.
59.72 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.
119.4 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.
59.72 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.
119.4 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.
3.898
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.
10
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.
1280
L1 Cache
48 KB (per SM)
L2 Cache
1280KB
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
3.898
TFLOPS
Blender
Score
343
OctaneBench
Score
62
OpenCL
Score
32972
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
OpenCL