NVIDIA Tesla K20m vs NVIDIA Quadro T1000 Mobile GDDR6

VS

NVIDIA Tesla K20m

NVIDIA Quadro T1000 Mobile GDDR6

We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 4GB VRAM Quadro T1000 Mobile GDDR6 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20m 's Advantages

More VRAM (5GB vs 4GB)

Larger VRAM bandwidth (208.0GB/s vs 192.0GB/s)

1600 additional rendering cores

NVIDIA Quadro T1000 Mobile GDDR6 's Advantages

Released 7 years and 5 months late

Boost Clock1650MHz

Lower TDP (50W vs 225W)

Score

Benchmark

FP32 (float)

Tesla K20m +19%

3.524 TFLOPS

Quadro T1000 Mobile GDDR6

2.957 TFLOPS

Tesla K20m

VS

Quadro T1000 Mobile GDDR6

Graphics Card

Jan 2013

Release Date

Jun 2020

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1395 MHz

-

Boost Clock

1650 MHz

1300 MHz

Memory Clock

1500 MHz

Memory

5GB

Memory Size

4GB

GDDR5

Memory Type

GDDR6

320bit

Memory Bus

128bit

208.0GB/s

Bandwidth

192.0GB/s

Render Config

-

SM Count

14

2496

Shading Units

896

208

TMUs

56

40

ROPs

32

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1280 KB

L2 Cache

1024 KB

-

Theoretical Performance

36.71 GPixel/s

Pixel Rate

52.80 GPixel/s

146.8 GTexel/s

Texture Rate

92.40 GTexel/s

-

FP16 (half)

5.914 TFLOPS

3.524 TFLOPS

FP32 (float)

2.957 TFLOPS

1175 GFLOPS

FP64 (double)

92.40 GFLOPS

Board Design

225W

TDP

50W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

None

Graphics Processor

GK110

GPU Name

TU117B

-

GPU Variant

N19P-Q1-A1

Kepler

Architecture

Turing

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.08 billion

Transistors

4.7 billion

561 mm²

Die Size

200 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

7.5

5.1

Shader Model

6.6

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