NVIDIA P106 100
About GPU
The NVIDIA P106 100 GPU is a solid performer in the desktop platform, offering a base clock speed of 1506MHz and a boost clock speed of 1709MHz. With 6GB of GDDR5 memory and a memory clock of 2002MHz, this GPU is well-equipped to handle modern gaming and compute workloads. The 1280 shading units and 1536KB L2 cache contribute to its overall performance, and the 120W TDP makes it relatively power-efficient compared to some high-end GPUs.
In terms of raw performance, the NVIDIA P106 100 GPU boasts a theoretical performance of 4.375 TFLOPS, making it suitable for gaming at 1080p and even 1440p resolutions. In 3DMark Time Spy, it scores an impressive 4045, further demonstrating its capability for handling demanding graphical tasks.
One potential downside of the P106 100 is its 6GB memory size, which may limit its ability to handle larger textures and higher resolutions in some gaming scenarios. However, for many users, this should not be a significant issue.
Overall, the NVIDIA P106 100 GPU is a compelling option for those looking for a balance of performance and efficiency in a desktop GPU. Its strong performance in both gaming and compute tasks, coupled with its competitive power consumption, make it a worthy choice for budget-conscious gamers and professionals alike.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
June 2017
Model Name
P106 100
Generation
Mining GPUs
Base Clock
1506MHz
Boost Clock
1709MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
6GB
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.
82.03 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.
136.7 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.
68.36 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.
136.7 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.
4.463
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.
10
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.
1280
L1 Cache
48 KB (per SM)
L2 Cache
1536KB
TDP
120W
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
4.463
TFLOPS
3DMark Time Spy
Score
4126
Blender
Score
391
Vulkan
Score
31357
OpenCL
Score
34533
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender
Vulkan
OpenCL