NVIDIA Quadro T1200 Mobile
About GPU
The NVIDIA Quadro T1200 Mobile GPU is a professional-grade graphics card that offers impressive performance for a range of workloads, from 3D rendering and video editing to design and engineering applications. With a base clock speed of 855MHz and a boost clock speed of 1425MHz, this GPU delivers fast and responsive performance, allowing users to tackle complex projects with ease.
The Quadro T1200 comes equipped with 4GB of GDDR6 memory, providing ample capacity for handling large datasets and high-resolution textures. The memory clock speed of 1250MHz ensures smooth and efficient data transfers, contributing to overall system performance.
With 1024 shading units and 1024KB of L2 cache, the Quadro T1200 is capable of handling advanced visual computing tasks and complex shader operations. The impressive 2.918 TFLOPS of theoretical performance further solidify its capability to handle demanding workloads.
In addition to its performance capabilities, the Quadro T1200 is also designed with efficiency in mind, with a low TDP of 18W. This makes it an excellent choice for professionals who require high-performance computing without compromising on power consumption.
Overall, the NVIDIA Quadro T1200 Mobile GPU is a solid choice for professionals in need of a reliable and efficient graphics solution for their demanding workloads. Its combination of high performance, ample memory capacity, and energy efficiency make it a standout option for a wide range of professional applications.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
Quadro T1200 Mobile
Generation
Quadro Mobile
Base Clock
855MHz
Boost Clock
1425MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
GDDR6
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
1250MHz
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.
160.0 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.
45.60 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.
91.20 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.
5.837 TFLOPS
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.
91.20 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.
2.86
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.
16
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.
1024
L1 Cache
64 KB (per SM)
L2 Cache
1024KB
TDP
18W
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
2.86
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS