NVIDIA Quadro P6000
About GPU
The NVIDIA Quadro P6000 is a powerful professional GPU designed for heavy-duty workloads in fields such as 3D rendering, CAD/CAM, and scientific simulations. With a base clock speed of 1506MHz and a boost clock speed of 1645MHz, this GPU offers exceptional performance for demanding tasks. The massive 24GB of GDDR5X memory and a memory clock of 1127MHz ensure that it can handle large datasets and complex models with ease.
With 3840 shading units and 3MB of L2 Cache, the Quadro P6000 delivers outstanding rendering capabilities and smooth handling of complex visual effects. Additionally, the TDP of 250W and theoretical performance of 12.63 TFLOPS make it a powerhouse for professional users who require high-performance computing for their work.
The Quadro P6000 is suitable for demanding workloads such as deep learning, AI development, and virtual reality applications. Its robust performance and superior memory capacity make it a top choice for professionals who require a reliable and high-performing GPU for their work.
Overall, the NVIDIA Quadro P6000 offers unmatched performance and reliability for professional users who require a GPU that can handle the most demanding workloads. Its impressive specifications and exceptional performance make it a valuable asset for professionals in various fields, and it is sure to meet the needs of even the most demanding workloads.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
October 2016
Model Name
Quadro P6000
Generation
Quadro Pascal
Base Clock
1506MHz
Boost Clock
1645MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
24GB
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.
384bit
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.
432.8 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.
157.9 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.
394.8 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.
197.4 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.
394.8 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.
12.377
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.
30
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.
3840
L1 Cache
48 KB (per SM)
L2 Cache
3MB
TDP
250W
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
12.377
TFLOPS
Blender
Score
859
OctaneBench
Score
185
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench