NVIDIA P106 090

NVIDIA P106 090

About GPU

The NVIDIA P106 090 GPU is a solid performer for desktop gaming and other graphic-intensive tasks. With a base clock of 1354MHz and boost clock of 1531MHz, this GPU delivers smooth and fluid gameplay, as well as quick rendering times for graphic design and video editing. The 3GB GDDR5 memory and 2002MHz memory clock provide ample memory space and fast data transfer rates, ensuring that even the most demanding games and applications run without any hiccups. The 768 shading units and 1536KB L2 cache further enhance the processing power, allowing for stunning visuals and seamless multitasking. One of the standout features of the P106 090 GPU is its low TDP of 75W, making it an energy-efficient choice for those looking to minimize power consumption and heat output. Despite its low TDP, the GPU still manages to deliver impressive theoretical performance of 2.352 TFLOPS, making it a compelling option for budget-conscious users who don't want to compromise on power. Overall, the NVIDIA P106 090 GPU is a reliable and cost-effective option for desktop users who want to enjoy high-quality graphics and smooth performance without breaking the bank. Its combination of efficient power usage, strong performance, and ample memory make it a solid choice for a wide range of gaming and graphic design needs.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
July 2017
Model Name
P106 090
Generation
Mining GPUs
Base Clock
1354MHz
Boost Clock
1531MHz
Bus Interface
PCIe 3.0 x16

Memory Specifications

Memory Size
3GB
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.
192bit
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.
192.2 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.
73.49 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.
73.49 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.
36.74 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.
73.49 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.
2.305 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.
6
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.
768
L1 Cache
48 KB (per SM)
L2 Cache
1536KB
TDP
75W
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
2.305 TFLOPS
Vulkan
Score
18660
OpenCL
Score
20338

Compared to Other GPU

FP32 (float) / TFLOPS
2.33 +1.1%
2.322 +0.7%
2.305
2.285 -0.9%
2.272 -1.4%
Vulkan
19677 +5.5%
18717 +0.3%
18660
18210 -2.4%
17987 -3.6%
OpenCL
21442 +5.4%
20836 +2.4%
20338
19095 -6.1%
18448 -9.3%