NVIDIA Quadro P600 Mobile
About GPU
The NVIDIA Quadro P600 Mobile GPU is a professional-grade graphics card designed for professionals who require high-performance computing and superior graphics capabilities. With a base clock of 1430MHz and a boost clock of 1557MHz, this GPU offers impressive speed and efficiency for demanding workloads.
The Quadro P600 features 4GB of GDDR5 memory with a memory clock of 1253MHz, providing ample memory and fast data transfer for seamless multitasking and smooth rendering of complex 3D models and simulations. The 384 shading units and 1024KB L2 cache further enhance the GPU's processing power, allowing for faster and more accurate calculations.
With a TDP of 25W, the Quadro P600 is designed to be energy-efficient without sacrificing performance, making it an ideal choice for mobile workstations that require a balance of power and mobility. The theoretical performance of 1.196 TFLOPS ensures that the GPU can handle demanding tasks such as real-time ray tracing and high-resolution video editing with ease.
Overall, the NVIDIA Quadro P600 Mobile GPU offers impressive performance, efficient power consumption, and reliable professional-grade features, making it an excellent choice for professionals in fields such as architecture, engineering, and content creation. Whether used for CAD design, 3D modeling, or video editing, the Quadro P600 delivers the reliability and performance that professionals demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2017
Model Name
Quadro P600 Mobile
Generation
Quadro Mobile
Base Clock
1430MHz
Boost Clock
1557MHz
Bus Interface
PCIe 3.0 x16
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
1253MHz
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.
80.19 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.
24.91 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.
37.37 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.
18.68 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.
37.37 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.
1.172
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.
3
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.
384
L1 Cache
48 KB (per SM)
L2 Cache
1024KB
TDP
25W
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
1.172
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS