NVIDIA P102 101
About GPU
The NVIDIA P102 101 GPU is a powerful desktop graphics card that boasts impressive specifications and performance. With a base clock of 1557MHz and a boost clock of 1670MHz, this GPU is capable of delivering high-speed and responsive graphics rendering for both gaming and professional applications.
One of the standout features of the P102 101 GPU is its 10GB of GDDR5 memory, which enables it to handle large and complex visual tasks with ease. The memory clock of 2002MHz ensures smooth and seamless data transfer, further enhancing the overall performance of the GPU.
With 3200 shading units and a TDP of 250W, the P102 101 GPU is designed to deliver exceptional graphics processing power while maintaining energy efficiency. This makes it well-suited for demanding tasks such as gaming, 3D rendering, and content creation.
In terms of performance, the P102 101 GPU is capable of delivering a theoretical performance of 10.69 TFLOPS, making it a formidable choice for users who require high levels of computational power.
Overall, the NVIDIA P102 101 GPU is an excellent choice for users who demand top-tier graphics performance for their desktop computing needs. Whether you are a passionate gamer, a professional video editor, or a 3D artist, this GPU has the capabilities to meet your needs and deliver exceptional visuals. With its impressive specifications and performance, the P102 101 GPU is a worthy investment for anyone in search of high-quality graphics processing.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2018
Model Name
P102 101
Generation
Mining GPUs
Base Clock
1557MHz
Boost Clock
1670MHz
Bus Interface
PCIe 3.0 x4
Memory Specifications
Memory Size
10GB
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.
320bit
Memory Clock
2002MHz
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.
320.3 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.
133.6 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.
334.0 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.
167.0 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.
334.0 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.
10.904
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
10.904
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS