NVIDIA Tesla C2090 vs NVIDIA Quadro FX 1600M

VS

NVIDIA Tesla C2090 NVIDIA Quadro FX 1600M

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 512MB VRAM Quadro FX 1600M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

Released 4 years and 1 months late

Larger VRAM bandwidth (177.4GB/s vs 25.60GB/s)

480 additional rendering cores

NVIDIA Quadro FX 1600M 's Advantages

Lower TDP (50W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090 +1565%

1.332 TFLOPS

Quadro FX 1600M

0.08 TFLOPS

Tesla C2090

VS

Quadro FX 1600M

Graphics Card

Jul 2011

Release Date

Jun 2007

Tesla

Generation

Quadro FX Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-HE

Clock Speeds

-

Base Clock

-

Boost Clock

-

924 MHz

Memory Clock

800 MHz

Memory

6GB

Memory Size

512MB

GDDR5

Memory Type

GDDR3

384bit

Memory Bus

128bit

177.4GB/s

Bandwidth

25.60GB/s

Render Config

16

SM Count

4

-

Compute Units

-

512

Shading Units

32

64

TMUs

16

48

ROPs

8

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

-

768 KB

L2 Cache

32 KB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

5.000 GPixel/s

41.66 GTexel/s

Texture Rate

10.00 GTexel/s

-

FP16 (half)

-

1332 GFLOPS

FP32 (float)

80.00 GFLOPS

666.1 GFLOPS

FP64 (double)

-

Graphics Processor

GF110

GPU Name

G84

-

GPU Variant

NB8P-GLM

Fermi 2.0

Architecture

Tesla

TSMC

Foundry

TSMC

40 nm

Process Size

80 nm

3 billion

Transistors

0.289 billion

520 mm²

Die Size

169 mm²

Board Design

250W

TDP

50W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

-

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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