NVIDIA Quadro P2000
About GPU
The NVIDIA Quadro P2000 GPU is an excellent choice for professional users in need of high performance and reliability. With a base clock of 1076MHz and a boost clock of 1480MHz, it offers fast and efficient processing for a wide range of professional applications.
With 5GB of GDDR5 memory and a memory clock of 1752MHz, the Quadro P2000 provides ample memory and bandwidth to handle large datasets and complex visualizations. The 1024 shading units and 1280KB of L2 cache ensure smooth and responsive performance, even when working with demanding workloads.
One of the standout features of the Quadro P2000 is its low TDP of 75W, making it an energy-efficient choice for professionals seeking to minimize power consumption without sacrificing performance. Despite its low power consumption, the GPU delivers a theoretical performance of 3.031 TFLOPS, making it suitable for tasks such as 3D rendering, animation, and CAD design.
Overall, the NVIDIA Quadro P2000 is a solid choice for professional users who require a reliable and high-performance GPU. Its combination of fast processing speeds, ample memory, and energy efficiency make it a versatile option for a variety of professional applications. Whether you're working in architecture, engineering, or content creation, the Quadro P2000 is sure to meet your needs for smooth, responsive performance and rendering.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2017
Model Name
Quadro P2000
Generation
Quadro
Base Clock
1076MHz
Boost Clock
1480MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
5GB
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.
160bit
Memory Clock
1752MHz
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.
140.2 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.
59.20 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.
94.72 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.
47.36 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.
94.72 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.
3.092
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.
8
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.
1024
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
3.092
TFLOPS
OpenCL
Score
19095
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL