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NVIDIA T400

NVIDIA T400

NVIDIA T400 is a Desktop video accelerator from NVIDIA. It began to be released in May 2021. The GPU has a boost frequency of 1425MHz. It also has a memory frequency of 1250MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Desktop GPU: 461

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
May 2021
Model Name
T400
Generation
Quadro
Base Clock
420MHz
Boost Clock
1425MHz
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
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
Transistors
4,700 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
24
L1 Cache
64 KB (per SM)
L2 Cache
1024KB
Bus Interface
PCIe 3.0 x16
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
TDP
30W

Memory Specifications

Memory Size
2GB
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.
1.094 TFlops

Miscellaneous

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
OpenGL
4.6
DirectX
12 (12_1)
CUDA
7.5
Power Connectors
None
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Shader Model
6.6
Suggested PSU
200W

FP32 (float)

1.094 TFlops

3DMark Time Spy

1420

Vulkan

15891

OpenCL

17024

Compared to Other GPU

0%
0%
4%
Better then 0% GPU over the past year
Better then 0% GPU over the past 3 years
Better then 4% GPU

SiliconCat Rating

461
Ranks 461 among Desktop GPU on our website
1010
Ranks 1010 among all GPU on our website
FP32 (float)
GeForce GTX 850A
NVIDIA, March 2014
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GeForce 940M
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T400
NVIDIA, May 2021
1.094 TFlops
GeForce GTX 560
NVIDIA, May 2011
1.045 TFlops
1.023 TFlops
3DMark Time Spy
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3874
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2755
Radeon RX 560
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1737
T400
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1420
Vulkan
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Radeon RX 5700 XT
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Radeon RX 580 2048SP
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40716
P106 090
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18660
T400
NVIDIA, May 2021
15891
OpenCL
Radeon Pro V520
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61570
Radeon RX 6500M
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38630
Radeon R9 M290X
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21442
T400
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17024
Radeon HD 5750
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884