NVIDIA Quadro T2000 Mobile vs NVIDIA Tesla M60

VS

NVIDIA Quadro T2000 Mobile NVIDIA Tesla M60

We compared two Professional market GPUs: 4GB VRAM Quadro T2000 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 T2000 Mobile 's Advantages

Released 3 years and 9 months late

Boost Clock has increased by 52% (1785MHz vs 1178MHz)

Lower TDP (60W vs 300W)

NVIDIA Tesla M60 's Advantages

More VRAM (8GB vs 4GB)

Larger VRAM bandwidth (160.4GB/s vs 128.1GB/s)

1024 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro T2000 Mobile

3.656 TFLOPS

Tesla M60 +31%

4.825 TFLOPS

Quadro T2000 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

1575 MHz

Base Clock

557 MHz

1785 MHz

Boost Clock

1178 MHz

2001 MHz

Memory Clock

1253 MHz

Memory

4GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

128bit

Memory Bus

256bit

128.1GB/s

Bandwidth

160.4GB/s

Render Config

16

SM Count

-

Compute Units

-

1024

Shading Units

2048

64

TMUs

128

32

ROPs

64

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

48 KB (per SMM)

1024 KB

L2 Cache

2 MB

Theoretical Performance

57.12 GPixel/s

Pixel Rate

75.39 GPixel/s

114.2 GTexel/s

Texture Rate

150.8 GTexel/s

7.311 TFLOPS

FP16 (half)

-

3.656 TFLOPS

FP32 (float)

4.825 TFLOPS

114.2 GFLOPS

FP64 (double)

150.8 GFLOPS

Graphics Processor

TU117

GPU Name

GM204

-

GPU Variant

-

Turing

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

4.7 billion

Transistors

5.2 billion

200 mm²

Die Size

398 mm²

Board Design

60W

TDP

300W

-

Suggested PSU

700 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Features

12 (12_1)

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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