NVIDIA P104 100
About GPU
The NVIDIA P104 100 GPU is a powerful graphics card designed for desktop use. With a base clock of 1607MHz and a boost clock of 1733MHz, this GPU offers impressive speed and performance for gaming, graphic design, and other demanding applications.
The 4GB of GDDR5X memory and a memory clock of 1251MHz ensure smooth and fast rendering of complex graphics and textures. The 1920 shading units and 2MB of L2 cache further contribute to the GPU's ability to handle heavy workloads without sacrificing speed or quality.
One of the standout features of the NVIDIA P104 100 GPU is its relatively low TDP of 130W, which means it can deliver high performance without consuming excessive power or generating excessive heat. This makes it an efficient and cost-effective choice for users who want a high-performing GPU without needing to make significant upgrades to their power supply or cooling system.
In terms of performance, the theoretical 6.655 TFLOPS of the NVIDIA P104 100 GPU ensures that it can handle even the most demanding graphics tasks with ease. Whether you are gaming at high resolutions or rendering complex 3D models, this GPU delivers the power and speed needed to produce exceptional results.
Overall, the NVIDIA P104 100 GPU is a solid choice for desktop users who require a high-performing, efficient, and reliable graphics card for their gaming, design, or professional needs. Its impressive specs and performance make it a worthwhile investment for anyone in need of a powerful GPU.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
December 2017
Model Name
P104 100
Generation
Mining GPUs
Base Clock
1607MHz
Boost Clock
1733MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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.
256bit
Memory Clock
1251MHz
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.
110.9 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.
208.0 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.
104.0 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.
208.0 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.
6.522
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.
15
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.
1920
L1 Cache
48 KB (per SM)
L2 Cache
2MB
TDP
130W
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
6.522
TFLOPS
Blender
Score
612
OctaneBench
Score
122
Vulkan
Score
45859
OpenCL
Score
52079
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
Vulkan
OpenCL