NVIDIA Quadro P1000 Mobile
About GPU
The NVIDIA Quadro P1000 Mobile GPU is a professional-grade graphics card designed for mobile workstations. With a base clock speed of 1303MHz, a boost clock speed of 1519MHz, and 512 shading units, this GPU offers impressive performance for professional applications.
The 4GB of GDDR5 memory coupled with a memory clock speed of 1502MHz ensures smooth and responsive performance when handling complex 3D models, large datasets, and high-resolution textures. Additionally, the 1024KB L2 cache helps to reduce latency and improve memory access speeds, further enhancing overall performance.
One of the standout features of the Quadro P1000 is its low TDP of 40W, making it an energy-efficient option for mobile workstations without compromising on performance. This allows for longer battery life and reduced heat output, making it an ideal choice for professionals who require powerful graphics capabilities on the go.
With a theoretical performance of 1.555 TFLOPS, the Quadro P1000 is capable of handling demanding professional workloads, such as 3D rendering, CAD design, and scientific simulations. This GPU is ideal for professionals in fields such as architecture, engineering, and content creation, who require reliable and efficient graphics performance for their day-to-day tasks.
Overall, the NVIDIA Quadro P1000 Mobile GPU offers a compelling combination of performance, energy efficiency, and professional-grade features, making it a strong choice for mobile workstations that require powerful graphics capabilities.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2017
Model Name
Quadro P1000 Mobile
Generation
Quadro Mobile
Base Clock
1303MHz
Boost Clock
1519MHz
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
1502MHz
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.
96.13 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.
24.30 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.
48.61 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.
24.30 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.
48.61 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.
1.524
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.
4
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.
512
L1 Cache
48 KB (per SM)
L2 Cache
1024KB
TDP
40W
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
1.524
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS