NVIDIA Tesla C2090 vs NVIDIA Quadro FX 3700M

VS

NVIDIA Tesla C2090

NVIDIA Quadro FX 3700M

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 1024MB VRAM Quadro FX 3700M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

Released 2 years and 11 months late

More VRAM (6GB vs 1024GB)

Larger VRAM bandwidth (177.4GB/s vs 51.20GB/s)

384 additional rendering cores

NVIDIA Quadro FX 3700M 's Advantages

Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090 +278%

1.332 TFLOPS

Quadro FX 3700M

0.352 TFLOPS

Tesla C2090

VS

Quadro FX 3700M

Graphics Card

Jul 2011

Release Date

Aug 2008

Tesla

Generation

Quadro FX Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-HE

Clock Speeds

-

924 MHz

Memory Clock

800 MHz

Memory

6GB

Memory Size

1024MB

GDDR5

Memory Type

GDDR3

384bit

Memory Bus

256bit

177.4GB/s

Bandwidth

51.20GB/s

Render Config

-

16

SM Count

16

512

Shading Units

128

64

TMUs

64

48

ROPs

16

-

64 KB (per SM)

L1 Cache

-

768 KB

L2 Cache

64 KB

-

Theoretical Performance

20.83 GPixel/s

Pixel Rate

8.800 GPixel/s

41.66 GTexel/s

Texture Rate

35.20 GTexel/s

-

1332 GFLOPS

FP32 (float)

352.0 GFLOPS

666.1 GFLOPS

FP64 (double)

-

Board Design

250W

TDP

75W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Graphics Processor

GF110

GPU Name

G92

-

GPU Variant

NB9E-GLM3

Fermi 2.0

Architecture

Tesla

TSMC

Foundry

TSMC

40 nm

Process Size

65 nm

3 billion

Transistors

0.754 billion

520 mm²

Die Size

324 mm²

Graphics Features

12 (11_0)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

1.1

OpenCL

1.1

N/A

Vulkan

N/A

2.0

CUDA

1.1

5.1

Shader Model

4.0

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