NVIDIA Jetson Orin NX 8 GB vs NVIDIA RTX A1000 Mobile

VS

NVIDIA Jetson Orin NX 8 GB

NVIDIA RTX A1000 Mobile

We compared two Professional market GPUs: 8GB VRAM Jetson Orin NX 8 GB and 4GB VRAM RTX A1000 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Jetson Orin NX 8 GB 's Advantages

Released 1 years late

More VRAM (8GB vs 4GB)

Lower TDP (20W vs 60W)

NVIDIA RTX A1000 Mobile 's Advantages

Boost Clock1831MHz

Larger VRAM bandwidth (224GB/s vs 102.4GB/s)

1024 additional rendering cores

Score

Benchmark

FP32 (float)

Jetson Orin NX 8 GB

1.567 TFLOPS

RTX A1000 Mobile +378%

7.5 TFLOPS

Jetson Orin NX 8 GB

VS

RTX A1000 Mobile

Graphics Card

Mar 2023

Release Date

Mar 2022

Tegra

Generation

Quadro Ampere-M

Professional

Type

Professional

PCIe 4.0 x4

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

630 MHz

-

Boost Clock

1831 MHz

1600 MHz

Memory Clock

1750 MHz

Memory

8GB

Memory Size

4GB

LPDDR5

Memory Type

GDDR6

128bit

Memory Bus

128bit

102.4GB/s

Bandwidth

224GB/s

Render Config

-

8

SM Count

16

1024

Shading Units

2048

32

TMUs

64

16

ROPs

48

32

Tensor Cores

64

-

RT Cores

16

128 KB (per SM)

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

2 MB

-

Theoretical Performance

12.24 GPixel/s

Pixel Rate

89.9 GPixel/s

24.48 GTexel/s

Texture Rate

117.2 GTexel/s

3.133 TFLOPS

FP16 (half)

4.669 TFLOPS

1.567 TFLOPS

FP32 (float)

7.5 TFLOPS

783.4 GFLOPS

FP64 (double)

72.96 GFLOPS

Board Design

20W

TDP

60W

-

Portable Device Dependent

Outputs

Portable Device Dependent

-

Power Connectors

None

Graphics Processor

GA10B

GPU Name

GA107

TE980M-A1

GPU Variant

-

Ampere

Architecture

Ampere

Samsung

Foundry

Samsung

8 nm

Process Size

8 nm

Unknown

Transistors

8.7 billion

Unknown

Die Size

200 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.2

8.6

CUDA

8.6

6.7

Shader Model

6.7

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