Home / GPU Comparison / NVIDIA T550 Mobile or NVIDIA GeForce RTX 3050 Mobile Refresh 4 GB: What's better?

NVIDIA T550 Mobile

vs

NVIDIA GeForce RTX 3050 Mobile Refresh 4 GB

GPU Comparison Result

Below are the results of a comparison of NVIDIA T550 Mobile and NVIDIA GeForce RTX 3050 Mobile Refresh 4 GB video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA T550 Mobile

Higher Boost Clock: 1665MHz (1665MHz vs 1207MHz)

NVIDIA GeForce RTX 3050 Mobile Refresh 4 GB

Higher Bandwidth: 224.0 GB/s (96.00 GB/s vs 224.0 GB/s)
More Shading Units: 2560 (1024 vs 2560)
Newer Launch Date: July 2022 (May 2022 vs July 2022)

Basic

NVIDIA

Label Name

NVIDIA

May 2022

Launch Date

July 2022

Mobile

Platform

Mobile

T550 Mobile

Model Name

GeForce RTX 3050 Mobile Refresh 4 GB

Quadro Mobile

Generation

GeForce 30 Mobile

1065MHz

Base Clock

652MHz

1665MHz

Boost Clock

1207MHz

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x8

4,700 million

Transistors

8,700 million

RT Cores

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.

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.

TSMC

Foundry

Samsung

12 nm

Process Size

8 nm

Turing

Architecture

Ampere

Memory Specifications

4GB

Memory Size

4GB

GDDR6

Memory Type

GDDR6

64bit

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

1500MHz

Memory Clock

1750MHz

96.00 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.

224.0 GB/s

Display and Media

No outputs

Outputs

Portable Device Dependent

Theoretical Performance

53.28 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.

38.62 GPixel/s

106.6 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.

96.56 GTexel/s

6.820 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.

6.180 TFLOPS

106.6 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.

96.56 GFLOPS

3.342 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.

6.304 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.

1024

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

64 KB (per SM)

L1 Cache

128 KB (per SM)

1024KB

L2 Cache

2MB

23W

TDP

45W

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

7.5

CUDA

8.6

12 (12_1)

DirectX

12 Ultimate (12_2)

None

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.

6.6

Shader Model

6.7