NVIDIA Quadro T1000 Max Q vs NVIDIA Tesla C2075

VS

NVIDIA Quadro T1000 Max Q

NVIDIA Tesla C2075

We compared two Professional market GPUs: 4GB VRAM Quadro T1000 Max Q and 6GB VRAM Tesla C2075 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 7 years and 10 months late

Boost Clock1350MHz

448 additional rendering cores

Lower TDP (50W vs 247W)

NVIDIA Tesla C2075 's Advantages

More VRAM (6GB vs 4GB)

Larger VRAM bandwidth (150.3GB/s vs 80.00GB/s)

Score

Benchmark

FP32 (float)

Quadro T1000 Max Q +135%

2.419 TFLOPS

Tesla C2075

1.028 TFLOPS

Quadro T1000 Max Q

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

765 MHz

Base Clock

-

1350 MHz

Boost Clock

-

1250 MHz

Memory Clock

783 MHz

Memory

4GB

Memory Size

6GB

GDDR5

Memory Type

GDDR5

128bit

Memory Bus

384bit

80.00GB/s

Bandwidth

150.3GB/s

Render Config

-

14

SM Count

14

896

Shading Units

448

56

TMUs

56

32

ROPs

48

-

64 KB (per SM)

L1 Cache

64 KB (per SM)

1024 KB

L2 Cache

768 KB

-

Theoretical Performance

43.20 GPixel/s

Pixel Rate

16.07 GPixel/s

75.60 GTexel/s

Texture Rate

32.14 GTexel/s

4.838 TFLOPS

FP16 (half)

-

2.419 TFLOPS

FP32 (float)

1028 GFLOPS

75.60 GFLOPS

FP64 (double)

513.9 GFLOPS

Board Design

50W

TDP

247W

-

Suggested PSU

550 W

No outputs

Outputs

1x DVI

None

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

TU117

GPU Name

GF110

-

GPU Variant

GF110-351-A1

Turing

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

4.7 billion

Transistors

3 billion

200 mm²

Die Size

520 mm²

Graphics Features

12 (12_1)

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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