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NVIDIA GeForce RTX 3050 Ti Mobile

NVIDIA GeForce RTX 3050 Ti Mobile

NVIDIA GeForce RTX 3050 Ti Mobile is a Mobile video accelerator from NVIDIA. It began to be released in May 2021. The GPU has a boost frequency of 1035MHz. It also has a memory frequency of 1500MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Mobile GPU: 91

Basic

Label Name
NVIDIA
Platform
Mobile
Launch Date
May 2021
Model Name
GeForce RTX 3050 Ti Mobile
Generation
GeForce 30 Mobile
Base Clock
735MHz
Boost Clock
1035MHz
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.
2560
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.
20
Transistors
12,000 million
RT Cores
20
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.
80
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.
80
L1 Cache
128 KB (per SM)
L2 Cache
2MB
Bus Interface
PCIe 4.0 x16
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere
TDP
75W

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
1500MHz
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.
192.0 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.
33.12 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.
82.80 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.
5.299 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.
82.80 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.
5.09 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 Ultimate (12_2)
CUDA
8.6
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.
32
Shader Model
6.7

FP32 (float)

5.09 TFlops

3DMark Time Spy

5270

Blender

1484

OctaneBench

166

Compared to Other GPU

33%
29%
67%
Better then 33% GPU over the past year
Better then 29% GPU over the past 3 years
Better then 67% GPU

SiliconCat Rating

91
Ranks 91 among Mobile GPU on our website
463
Ranks 463 among all GPU on our website
FP32 (float)
FirePro S9170
AMD, July 2015
5.342 TFlops
Quadro P4000
NVIDIA, February 2017
5.197 TFlops
5.09 TFlops
GeForce GTX 1660 Ti Mobile
NVIDIA, April 2019
4.982 TFlops
GeForce RTX 3050 A Mobile
NVIDIA, January 2024
4.861 TFlops
3DMark Time Spy
TITAN X Pascal
NVIDIA, August 2016
9396
7480
5270
Radeon RX 580 2048SP
AMD, October 2018
3906
Arc A350M
Intel, March 2022
2758
Blender
GeForce RTX 4090
NVIDIA, September 2022
12577
2912
1484
Tesla M40 24 GB
NVIDIA, November 2015
589
Tesla K80
NVIDIA, November 2014
258
OctaneBench
RTX 6000 Ada Generation
NVIDIA, December 2022
1147
GeForce RTX 4060
NVIDIA, May 2023
347
166
Quadro P3200 Max Q
NVIDIA, February 2018
87
GeForce GTX 960
NVIDIA, January 2015
47

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