NVIDIA Quadro P1000
About GPU
The NVIDIA Quadro P1000 is a professional-grade GPU designed for professionals who require high-performance computing power for their work. With a base clock speed of 1266MHz and a boost clock speed of 1480MHz, the P1000 delivers fast and reliable performance for a variety of professional applications.
With a memory size of 4GB and a memory type of GDDR5, the P1000 is capable of handling large and complex datasets with ease. The memory clock speed of 1253MHz ensures smooth and efficient data transfer, while the 640 shading units provide excellent parallel processing capabilities.
One of the key highlights of the Quadro P1000 is its low TDP of 47W, making it an energy-efficient solution for professionals who are conscious of power consumption. Despite its low power consumption, the P1000 still delivers impressive theoretical performance of 1.894 TFLOPS, making it suitable for demanding workloads such as 3D rendering, video editing, and scientific simulations.
In terms of real-world performance, the Quadro P1000 excels in handling complex visualizations and computations, making it a great choice for professionals working in industries such as architecture, engineering, and design. Its reliable performance, energy efficiency, and professional-grade features make it a great investment for professionals looking for a GPU that can meet their demanding computational needs. Overall, the NVIDIA Quadro P1000 is a solid choice for professionals who require a high-performance GPU for their work.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2017
Model Name
Quadro P1000
Generation
Quadro
Base Clock
1266MHz
Boost Clock
1480MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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.
128bit
Memory Clock
1253MHz
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.
80.19 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.
47.36 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.
59.20 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.
29.60 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.
59.20 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.
1.932
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.
5
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.
640
L1 Cache
48 KB (per SM)
L2 Cache
1024KB
TDP
47W
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
1.932
TFLOPS
Blender
Score
159
OctaneBench
Score
31
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench