NVIDIA Quadro RTX 3000 Mobile Refresh vs NVIDIA Quadro NVS 140M

VS

NVIDIA Quadro RTX 3000 Mobile Refresh

NVIDIA Quadro NVS 140M

We compared two Professional market GPUs: 6GB VRAM Quadro RTX 3000 Mobile Refresh and 512MB VRAM Quadro NVS 140M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 3000 Mobile Refresh 's Advantages

Released 12 years late

Boost Clock1380MHz

More VRAM (6GB vs 512GB)

Larger VRAM bandwidth (336.0GB/s vs 9.600GB/s)

1904 additional rendering cores

NVIDIA Quadro NVS 140M 's Advantages

Lower TDP (10W vs 80W)

Score

Benchmark

FP32 (float)

Quadro RTX 3000 Mobile Refresh +20280%

5.299 TFLOPS

Quadro NVS 140M

0.026 TFLOPS

Quadro RTX 3000 Mobile Refresh

VS

Quadro NVS 140M

Graphics Card

May 2019

Release Date

May 2007

Quadro Mobile

Generation

NVS Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

945 MHz

Base Clock

-

1380 MHz

Boost Clock

-

1750 MHz

Memory Clock

600 MHz

Memory

6GB

Memory Size

512MB

GDDR6

Memory Type

GDDR3

192bit

Memory Bus

64bit

336.0GB/s

Bandwidth

9.600GB/s

Render Config

-

30

SM Count

2

1920

Shading Units

16

120

TMUs

8

64

ROPs

4

240

Tensor Cores

-

30

RT Cores

-

64 KB (per SM)

L1 Cache

-

4 MB

L2 Cache

16 KB

-

Theoretical Performance

88.32 GPixel/s

Pixel Rate

1.600 GPixel/s

165.6 GTexel/s

Texture Rate

3.200 GTexel/s

10.60 TFLOPS

FP16 (half)

-

5.299 TFLOPS

FP32 (float)

25.60 GFLOPS

165.6 GFLOPS

FP64 (double)

-

Board Design

80W

TDP

10W

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

TU106

GPU Name

G86

N19E-Q1-KD-A1

GPU Variant

G86-740-A2

Turing

Architecture

Tesla

TSMC

Foundry

TSMC

12 nm

Process Size

80 nm

10.8 billion

Transistors

0.21 billion

445 mm²

Die Size

127 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.5

CUDA

1.1

6.6

Shader Model

4.0

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