NVIDIA T400 4 GB
About GPU
The NVIDIA T400 4GB GPU is a great addition to any desktop system. With a base clock of 420MHz and a boost clock of 1425MHz, this GPU offers fast and efficient performance for a variety of tasks, from gaming to video editing and graphic design. The 4GB of GDDR6 memory ensures smooth and seamless rendering of complex visuals, while the memory clock of 1250MHz allows for quick access to data.
With 384 shading units and 1024KB of L2 cache, the T400 offers impressive processing power, making it capable of handling demanding applications with ease. Additionally, with a TDP of just 30W, this GPU is energy-efficient, helping to reduce overall power consumption.
In terms of performance, the T400 boasts a theoretical performance of 1.094 TFLOPS, making it more than capable of handling modern gaming titles and graphical workloads. Whether you're a casual gamer, a content creator, or a professional designer, the T400 has the power and capability to meet your needs.
Overall, the NVIDIA T400 4GB GPU is a solid choice for anyone looking to upgrade their desktop system with a reliable and efficient graphics solution. Its combination of fast clock speeds, ample memory, and energy efficiency make it a versatile option for a wide range of users. Whether you're a gamer, content creator, or professional designer, the T400 is sure to impress with its performance and capabilities. Highly recommended for anyone in need of a reliable and powerful GPU for their desktop system.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
May 2021
Model Name
T400 4 GB
Generation
Quadro
Base Clock
420MHz
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.
64bit
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.
80.00 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.
22.80 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.
34.20 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.
2.189 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.
34.20 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.
1.072
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.
6
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
64 KB (per SM)
L2 Cache
1024KB
TDP
30W
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
1.072
TFLOPS
Blender
Score
214
OctaneBench
Score
33
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench