NVIDIA Quadro P5000
About GPU
The NVIDIA Quadro P5000 GPU is a professional-grade graphics card that offers exceptional performance and reliability for demanding applications such as 3D rendering, video editing, and engineering simulations. With a base clock speed of 1607MHz and a boost clock speed of 1733MHz, the P5000 delivers fast and responsive graphics processing, allowing users to work with complex and detail-rich designs without experiencing lag or slowdowns.
One of the standout features of the P5000 is its generous 16GB of GDDR5X memory, which provides ample capacity for handling large datasets and high-resolution textures. This, combined with a memory clock speed of 1127MHz and 2560 shading units, enables the GPU to deliver exceptional visual fidelity and smooth performance in a wide range of professional applications.
Additionally, with a TDP of 180W and a theoretical performance of 8.873 TFLOPS, the P5000 is a power-efficient and capable solution for users who require high-performance graphics in their workflows.
In real-world testing, the P5000 excels in benchmarks such as 3DMark Time Spy, where it achieves an impressive score of 6011, further demonstrating its ability to handle demanding tasks with ease.
Overall, the NVIDIA Quadro P5000 is a powerful and reliable graphics card that offers exceptional performance and features for professional users in need of robust graphics processing capabilities. Whether it's for content creation, simulation, or visualization, the P5000 is a top-tier option for professionals in need of reliable and powerful graphics processing.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
October 2016
Model Name
Quadro P5000
Generation
Quadro
Base Clock
1607MHz
Boost Clock
1733MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
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.
256bit
Memory Clock
1127MHz
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.
288.5 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.
110.9 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.
277.3 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.
138.6 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.
277.3 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.
8.696
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
180W
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
8.696
TFLOPS
3DMark Time Spy
Score
6131
OpenCL
Score
40953
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
OpenCL