NVIDIA P102 100
About GPU
The NVIDIA P102 100 GPU is a powerhouse graphics card designed for desktop platforms, delivering impressive performance for demanding tasks such as gaming, content creation, and professional applications. With a base clock of 1582MHz and a boost clock of 1683MHz, this GPU offers swift and responsive performance, ensuring smooth gameplay and efficient multitasking.
The 5GB of GDDR5X memory and a memory clock of 1376MHz provide ample memory bandwidth for handling large textures and complex scenes, resulting in a seamless visual experience. The 3200 shading units enable the GPU to render detailed and lifelike images, while the 10.77 TFLOPS of theoretical performance ensure that it can handle even the most demanding workloads with ease.
In terms of power consumption, the P102 100 GPU has a TDP of 250W, which is on the higher side but is expected given its high performance capabilities. However, it's worth noting that this GPU does not have any L2 cache, which may impact its performance in certain scenarios.
Overall, the NVIDIA P102 100 GPU is a top-of-the-line graphics card that delivers exceptional performance for desktop users. Its impressive specifications make it well-suited for tasks that require high computing power, such as gaming at high resolutions, 3D rendering, and machine learning. While its power consumption may be a concern for some users, the P102 100 remains an excellent choice for those in need of a high-performance GPU.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
February 2018
Model Name
P102 100
Generation
Mining GPUs
Base Clock
1582MHz
Boost Clock
1683MHz
Bus Interface
PCIe 3.0 x4
Memory Specifications
Memory Size
5GB
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.
320bit
Memory Clock
1376MHz
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.
440.3 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.
134.6 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.
336.6 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.
168.3 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.
336.6 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.
10.555
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.
25
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.
3200
L1 Cache
48 KB (per SM)
L2 Cache
0MB
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
10.555
TFLOPS
Blender
Score
522
OctaneBench
Score
180
OpenCL
Score
65116
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
OpenCL