NVIDIA Quadro GP100
About GPU
The NVIDIA Quadro GP100 GPU is a professional-grade graphics processing unit that offers exceptional performance for demanding workloads. With a base clock speed of 1304MHz and a boost clock speed of 1442MHz, this GPU delivers fast and reliable performance for a variety of professional applications.
One of the standout features of the Quadro GP100 is its 16GB of HBM2 memory, which enables high-speed data processing and manipulation. This high memory capacity coupled with a memory clock speed of 715MHz ensures smooth and efficient handling of large datasets and complex visualizations.
With 3584 shading units and 4MB of L2 cache, the Quadro GP100 is capable of handling highly parallelizable workloads with ease. The GPU's TDP of 235W may be on the higher side, but it is a worthy tradeoff for the immense computing power it brings to the table.
The theoretical performance of 10.34 TFLOPS makes the Quadro GP100 ideal for professionals in fields such as CAD/CAM, visual effects, and scientific simulations. It can handle intensive tasks such as 3D rendering, video editing, and computational analysis with remarkable speed and efficiency.
Overall, the NVIDIA Quadro GP100 GPU is a powerhouse that delivers exceptional performance for professional applications. Its high memory capacity, superior processing power, and efficient data handling make it a great choice for professionals who require top-tier performance from their GPU.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
October 2016
Model Name
Quadro GP100
Generation
Quadro
Base Clock
1304MHz
Boost Clock
1442MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
HBM2
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.
4096bit
Memory Clock
715MHz
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.
732.2 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.
138.4 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.
323.0 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.
20.67 TFLOPS
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.
5.168 TFLOPS
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.
10.547
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.
56
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.
3584
L1 Cache
24 KB (per SM)
L2 Cache
4MB
TDP
235W
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
10.547
TFLOPS
OctaneBench
Score
245
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench