NVIDIA RTX A2000 Mobile vs NVIDIA Jetson Orin NX 16 GB

VS

NVIDIA RTX A2000 Mobile

NVIDIA Jetson Orin NX 16 GB

We compared two Professional market GPUs: 4GB VRAM RTX A2000 Mobile and 16GB VRAM Jetson Orin NX 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A2000 Mobile 's Advantages

Boost Clock1358MHz

Larger VRAM bandwidth (176.0GB/s vs 102.4GB/s)

1536 additional rendering cores

NVIDIA Jetson Orin NX 16 GB 's Advantages

Released 1 years and 10 months late

More VRAM (16GB vs 4GB)

Lower TDP (25W vs 95W)

Score

Benchmark

FP32 (float)

RTX A2000 Mobile +269%

6.953 TFLOPS

Jetson Orin NX 16 GB

1.88 TFLOPS

RTX A2000 Mobile

VS

Jetson Orin NX 16 GB

Graphics Card

Apr 2021

Release Date

Feb 2023

Quadro Mobile

Generation

Tegra

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x4

Clock Speeds

893 MHz

Base Clock

-

1358 MHz

Boost Clock

-

1375 MHz

Memory Clock

1600 MHz

Memory

4GB

Memory Size

16GB

GDDR6

Memory Type

LPDDR5

128bit

Memory Bus

128bit

176.0GB/s

Bandwidth

102.4GB/s

Render Config

-

20

SM Count

8

2560

Shading Units

1024

80

TMUs

32

48

ROPs

16

80

Tensor Cores

32

20

RT Cores

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

256 KB

-

Theoretical Performance

65.18 GPixel/s

Pixel Rate

14.69 GPixel/s

108.6 GTexel/s

Texture Rate

29.38 GTexel/s

6.953 TFLOPS

FP16 (half)

3.760 TFLOPS

6.953 TFLOPS

FP32 (float)

1.880 TFLOPS

108.6 GFLOPS

FP64 (double)

940.0 GFLOPS

Board Design

95W

TDP

25W

-

No outputs

Outputs

Portable Device Dependent

None

Power Connectors

-

Graphics Processor

GA106

GPU Name

GA10B

-

GPU Variant

TE980M-A1

Ampere

Architecture

Ampere

Samsung

Foundry

Samsung

8 nm

Process Size

8 nm

12 billion

Transistors

Unknown

276 mm²

Die Size

Unknown

Graphics Features

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

8.6

CUDA

8.6

6.6

Shader Model

6.7

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