NVIDIA Quadro RTX 5000 Mobile vs NVIDIA Tesla M60

VS

NVIDIA Quadro RTX 5000 Mobile

NVIDIA Tesla M60

We compared two Professional market GPUs: 16GB VRAM Quadro RTX 5000 Mobile and 8GB VRAM Tesla M60 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 5000 Mobile 's Advantages

Released 3 years and 9 months late

Boost Clock has increased by 50% (1770MHz vs 1178MHz)

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (448.0GB/s vs 160.4GB/s)

1024 additional rendering cores

Lower TDP (110W vs 300W)

Score

Benchmark

FP32 (float)

Quadro RTX 5000 Mobile +125%

10.87 TFLOPS

Tesla M60

4.825 TFLOPS

Quadro RTX 5000 Mobile

VS

Tesla M60

Graphics Card

May 2019

Release Date

Aug 2015

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1365 MHz

Base Clock

557 MHz

1770 MHz

Boost Clock

1178 MHz

1750 MHz

Memory Clock

1253 MHz

Memory

16GB

Memory Size

8GB

GDDR6

Memory Type

GDDR5

256bit

Memory Bus

256bit

448.0GB/s

Bandwidth

160.4GB/s

Render Config

-

48

SM Count

-

3072

Shading Units

2048

192

TMUs

128

64

ROPs

64

384

Tensor Cores

-

48

RT Cores

-

64 KB (per SM)

L1 Cache

48 KB (per SMM)

4 MB

L2 Cache

2 MB

-

Theoretical Performance

113.3 GPixel/s

Pixel Rate

75.39 GPixel/s

339.8 GTexel/s

Texture Rate

150.8 GTexel/s

21.75 TFLOPS

FP16 (half)

-

10.87 TFLOPS

FP32 (float)

4.825 TFLOPS

339.8 GFLOPS

FP64 (double)

150.8 GFLOPS

Board Design

110W

TDP

300W

-

Suggested PSU

700 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Processor

TU104

GPU Name

GM204

N19E-Q5-A1

GPU Variant

-

Turing

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

13.6 billion

Transistors

5.2 billion

545 mm²

Die Size

398 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.5

CUDA

5.2

6.6

Shader Model

6.4

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