NVIDIA Quadro T1000 Max Q vs NVIDIA Tesla K20m

VS

NVIDIA Quadro T1000 Max Q

NVIDIA Tesla K20m

We compared two Professional market GPUs: 4GB VRAM Quadro T1000 Max Q and 5GB VRAM Tesla K20m to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro T1000 Max Q 's Advantages

Released 6 years and 4 months late

Boost Clock1350MHz

Lower TDP (50W vs 225W)

NVIDIA Tesla K20m 's Advantages

More VRAM (5GB vs 4GB)

Larger VRAM bandwidth (208.0GB/s vs 80.00GB/s)

1600 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro T1000 Max Q

2.419 TFLOPS

Tesla K20m +45%

3.524 TFLOPS

Quadro T1000 Max Q

VS

Tesla K20m

Graphics Card

May 2019

Release Date

Jan 2013

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

765 MHz

Base Clock

-

1350 MHz

Boost Clock

-

1250 MHz

Memory Clock

1300 MHz

Memory

4GB

Memory Size

5GB

GDDR5

Memory Type

GDDR5

128bit

Memory Bus

320bit

80.00GB/s

Bandwidth

208.0GB/s

Render Config

-

14

SM Count

-

896

Shading Units

2496

56

TMUs

208

32

ROPs

40

-

64 KB (per SM)

L1 Cache

16 KB (per SMX)

1024 KB

L2 Cache

1280 KB

-

Theoretical Performance

43.20 GPixel/s

Pixel Rate

36.71 GPixel/s

75.60 GTexel/s

Texture Rate

146.8 GTexel/s

4.838 TFLOPS

FP16 (half)

-

2.419 TFLOPS

FP32 (float)

3.524 TFLOPS

75.60 GFLOPS

FP64 (double)

1175 GFLOPS

Board Design

50W

TDP

225W

-

Suggested PSU

550 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

TU117

GPU Name

GK110

-

Turing

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

4.7 billion

Transistors

7.08 billion

200 mm²

Die Size

561 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.5

CUDA

3.5

6.6

Shader Model

5.1

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