Home / GPU Comparison / NVIDIA GeForce RTX 2080 Ti or NVIDIA T400: What's better?

NVIDIA GeForce RTX 2080 Ti
vs
NVIDIA T400

NVIDIA GeForce RTX 2080 Ti
vs
NVIDIA T400

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 2080 Ti and NVIDIA T400 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 2080 Ti
NVIDIA GeForce RTX 2080 Ti
NVIDIA GeForce RTX 2080 Ti
  • Higher Boost Clock: 1545MHz (1545MHz vs 1425MHz)
  • Larger Memory Size: 11GB (11GB vs 2GB)
  • Higher Bandwidth: 616.0 GB/s (616.0 GB/s vs 80.00 GB/s)
  • More Shading Units: 4352 (4352 vs 384)
NVIDIA T400
NVIDIA T400
NVIDIA T400
  • Newer Launch Date: May 2021 (September 2018 vs May 2021)

Basic

NVIDIA
Label Name
NVIDIA
September 2018
Launch Date
May 2021
Desktop
Platform
Desktop
GeForce RTX 2080 Ti
Model Name
T400
GeForce 20
Generation
Quadro
1350MHz
Base Clock
420MHz
1545MHz
Boost Clock
1425MHz
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
18,600 million
Transistors
4,700 million
68
RT Cores
-
544
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
-
272
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
TSMC
Foundry
TSMC
12 nm
Process Size
12 nm
Turing
Architecture
Turing

Memory Specifications

11GB
Memory Size
2GB
GDDR6
Memory Type
GDDR6
352bit
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
1750MHz
Memory Clock
1250MHz
616.0 GB/s
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

136.0 GPixel/s
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
420.2 GTexel/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
26.90 TFLOPS
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
420.2 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.
34.20 GFLOPS
13.181 TFLOPS
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

68
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
4352
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
64 KB (per SM)
L1 Cache
64 KB (per SM)
0MB
L2 Cache
1024KB
250W
TDP
30W
1.3
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
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 (12_1)
7.5
CUDA
7.5
2x 8-pin
Power Connectors
None
6.6
Shader Model
6.6
88
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
600W
Suggested PSU
200W

Benchmarks

FP32 (float) / TFLOPS
GeForce RTX 2080 Ti
13.181 +1130%
T400
1.072
3DMark Time Spy
GeForce RTX 2080 Ti
14965 +954%
T400
1420
Vulkan
GeForce RTX 2080 Ti
132317 +733%
T400
15891
OpenCL
GeForce RTX 2080 Ti
147055 +764%
T400
17024