NVIDIA Quadro RTX 3000 Mobile Refresh vs NVIDIA Tesla C2075

VS

NVIDIA Quadro RTX 3000 Mobile Refresh

NVIDIA Tesla C2075

We compared two Professional market GPUs: 6GB VRAM Quadro RTX 3000 Mobile Refresh and 6GB VRAM Tesla C2075 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 7 years and 10 months late

Boost Clock1380MHz

Larger VRAM bandwidth (336.0GB/s vs 150.3GB/s)

1472 additional rendering cores

Lower TDP (80W vs 247W)

Score

Benchmark

FP32 (float)

Quadro RTX 3000 Mobile Refresh +415%

5.299 TFLOPS

Tesla C2075

1.028 TFLOPS

Quadro RTX 3000 Mobile Refresh

VS

Tesla C2075

Graphics Card

May 2019

Release Date

Jul 2011

Quadro Mobile

Generation

Tesla

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

783 MHz

Memory

6GB

Memory Size

6GB

GDDR6

Memory Type

GDDR5

192bit

Memory Bus

384bit

336.0GB/s

Bandwidth

150.3GB/s

Render Config

-

30

SM Count

14

1920

Shading Units

448

120

TMUs

56

64

ROPs

48

240

Tensor Cores

-

30

RT Cores

-

64 KB (per SM)

L1 Cache

64 KB (per SM)

4 MB

L2 Cache

768 KB

-

Theoretical Performance

88.32 GPixel/s

Pixel Rate

16.07 GPixel/s

165.6 GTexel/s

Texture Rate

32.14 GTexel/s

10.60 TFLOPS

FP16 (half)

-

5.299 TFLOPS

FP32 (float)

1028 GFLOPS

165.6 GFLOPS

FP64 (double)

513.9 GFLOPS

Board Design

80W

TDP

247W

-

Suggested PSU

550 W

No outputs

Outputs

1x DVI

None

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

TU106

GPU Name

GF110

N19E-Q1-KD-A1

GPU Variant

GF110-351-A1

Turing

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

10.8 billion

Transistors

3 billion

445 mm²

Die Size

520 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.5

CUDA

2.0

6.6

Shader Model

5.1

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