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NVIDIA TITAN Xp

NVIDIA TITAN Xp

NVIDIA TITAN Xp is a Desktop video accelerator from NVIDIA. It began to be released in April 2017. The GPU has a boost frequency of 1582MHz. It also has a memory frequency of 1426MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Desktop GPU: 126

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2017
Model Name
TITAN Xp
Generation
GeForce 10
Base Clock
1405MHz
Boost Clock
1582MHz
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.
3840
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.
30
Transistors
11,800 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.
240
L1 Cache
48 KB (per SM)
L2 Cache
3MB
Bus Interface
PCIe 3.0 x16
Foundry
TSMC
Process Size
16 nm
Architecture
Pascal
TDP
250W

Memory Specifications

Memory Size
12GB
Memory Type
GDDR5X
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.
384bit
Memory Clock
1426MHz
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.
547.6 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.
151.9 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.
379.7 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.
189.8 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.
379.7 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.
12.146 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
6.1
Power Connectors
1x 6-pin + 1x 8-pin
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.
96
Shader Model
6.4
Suggested PSU
600W

FP32 (float)

12.146 TFlops

3DMark Time Spy

10355

Blender

953

OctaneBench

176

Vulkan

85824

OpenCL

63099

Compared to Other GPU

14%
24%
74%
Better then 14% GPU over the past year
Better then 24% GPU over the past 3 years
Better then 74% GPU

SiliconCat Rating

126
Ranks 126 among Desktop GPU on our website
251
Ranks 251 among all GPU on our website
FP32 (float)
CMP 170HX 10 GB
NVIDIA, September 2021
12.756 TFlops
GeForce RTX 3060 GA104
NVIDIA, September 2021
12.484 TFlops
TITAN Xp
NVIDIA, April 2017
12.146 TFlops
Tesla P10
NVIDIA, September 2016
11.467 TFlops
10.903 TFlops
3DMark Time Spy
GeForce RTX 4090 Mobile
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20799
GeForce RTX 3080 Ti Mobile
NVIDIA, January 2022
13242
TITAN Xp
NVIDIA, April 2017
10355
Radeon RX 5600 XT
AMD, January 2020
8064
Quadro P5000
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6009
Blender
H100 PCIe
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5110
A100 SXM4 40 GB
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2275
TITAN Xp
NVIDIA, April 2017
953
Radeon RX 580 2048SP
AMD, October 2018
450
GeForce MX450 25W
NVIDIA, August 2020
179
OctaneBench
GeForce RTX 4090
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1341
RTX A4000
NVIDIA, April 2021
350
TITAN Xp
NVIDIA, April 2017
176
GeForce GTX 780
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88
T550 Mobile
NVIDIA, May 2022
47
Vulkan
GeForce RTX 4090
NVIDIA, September 2022
254749
L4
NVIDIA, March 2023
120950
TITAN Xp
NVIDIA, April 2017
85824
Radeon RX 6550M
AMD, January 2023
54373
Radeon R9 M295X
AMD, November 2014
29028
OpenCL
GeForce RTX 4060 Ti
NVIDIA, May 2023
130656
RTX 2000 Ada Generation
NVIDIA, February 2024
86545
TITAN Xp
NVIDIA, April 2017
63099
GeForce GTX 1650
NVIDIA, April 2019
39502