NVIDIA Quadro P4000
About GPU
The NVIDIA Quadro P4000 is a powerful professional GPU that delivers excellent performance for demanding workloads in fields such as media and entertainment, architecture, engineering, and design. With a base clock of 1202MHz and a boost clock of 1480MHz, this GPU provides the necessary speed and processing power for complex 3D rendering, simulations, and design tasks.
The 8GB of GDDR5 memory and 1901MHz memory clock ensure fast and efficient data processing, while the 1792 shading units and 2MB L2 cache contribute to smooth and responsive graphics performance. With a TDP of 105W and a theoretical performance of 5.304 TFLOPS, the Quadro P4000 is capable of handling even the most demanding professional workloads with ease.
One of the standout features of the Quadro P4000 is its reliability and stability, which is essential for professional applications where downtime is not an option. The GPU is also VR-ready, making it suitable for virtual reality and immersive visualization tasks.
Overall, the NVIDIA Quadro P4000 is a highly capable professional GPU that offers exceptional performance, reliability, and compatibility with a wide range of professional applications. Whether you are working on complex visualizations, simulations, or design tasks, the Quadro P4000 is a solid choice for power users who require top-tier performance for their professional workflows.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2017
Model Name
Quadro P4000
Generation
Quadro
Base Clock
1202MHz
Boost Clock
1480MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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
1901MHz
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.
243.3 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.
94.72 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.
165.8 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.
82.88 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.
165.8 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.
5.198
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
2MB
TDP
105W
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
5.198
TFLOPS
Blender
Score
479
OctaneBench
Score
86
OpenCL
Score
42289
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
OpenCL