NVIDIA P106M
The NVIDIA P106M GPU is an impressive mobile graphics processing unit that brings powerful performance to laptops and other portable devices. With a memory size of 4GB and GDDR5 memory type, this GPU is well-equipped to handle demanding tasks such as gaming, video editing, and 3D rendering.
The P106M features a memory clock of 1502MHz and 1152 shading units, allowing for smooth and detailed graphics rendering. Additionally, the 1280KB L2 Cache helps to optimize performance by storing frequently accessed data for quick retrieval.
A notable feature of the P106M is its relatively low TDP of 75W, which contributes to energy efficiency and helps to prevent excessive heat generation in mobile devices. This makes it an attractive option for users who prioritize battery life and portability.
In terms of performance, the P106M boasts a theoretical performance of 2.974 TFLOPS, demonstrating its capability to handle resource-intensive tasks with ease.
Overall, the NVIDIA P106M GPU is a compelling option for users in need of a powerful and energy-efficient mobile graphics solution. Its combination of high memory capacity, efficient design, and impressive performance make it well-suited for a wide range of applications, from gaming to professional content creation. Whether you're a gamer on the go or a mobile professional requiring reliable graphics performance, the P106M is a solid choice.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2019
Model Name
P106M
Generation
Mining GPUs
Bus Interface
PCIe 3.0 x16
Transistors
4,400 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
72
Foundry
TSMC
Process Size
16 nm
Architecture
Pascal
Memory Specifications
Memory Size
4GB
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.
128bit
Memory Clock
1502MHz
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.
96.13 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.
41.31 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.
92.95 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.
46.48 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.
92.95 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.
2.915
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.
9
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.
1152
L1 Cache
48 KB (per SM)
L2 Cache
1280KB
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
OpenGL
4.6
DirectX
12 (12_1)
CUDA
6.1
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
32
Benchmarks
FP32 (float)
Score
2.915
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS