NVIDIA Tesla C2090 vs NVIDIA Quadro 500M

VS

NVIDIA Tesla C2090 NVIDIA Quadro 500M

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 1024MB VRAM Quadro 500M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

More VRAM (6GB vs 1GB)

Larger VRAM bandwidth (177.4GB/s vs 28.80GB/s)

416 additional rendering cores

NVIDIA Quadro 500M 's Advantages

Lower TDP (35W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090 +395%

1.332 TFLOPS

Quadro 500M

0.269 TFLOPS

Tesla C2090

VS

Quadro 500M

Graphics Card

Jul 2011

Release Date

Feb 2011

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

-

Base Clock

-

Boost Clock

-

924 MHz

Memory Clock

900 MHz

Memory

6GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

384bit

Memory Bus

128bit

177.4GB/s

Bandwidth

28.80GB/s

Render Config

16

SM Count

2

-

Compute Units

-

512

Shading Units

96

64

TMUs

16

48

ROPs

4

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

64 KB (per SM)

768 KB

L2 Cache

256 KB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

2.800 GPixel/s

41.66 GTexel/s

Texture Rate

11.20 GTexel/s

-

FP16 (half)

-

1332 GFLOPS

FP32 (float)

268.8 GFLOPS

666.1 GFLOPS

FP64 (double)

22.40 GFLOPS

Graphics Processor

GF110

GPU Name

GF108

-

GPU Variant

N12M-Q3

Fermi 2.0

Architecture

Fermi

TSMC

Foundry

TSMC

40 nm

Process Size

40 nm

3 billion

Transistors

0.585 billion

520 mm²

Die Size

116 mm²

Board Design

250W

TDP

35W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

1.1

OpenCL

1.1

N/A

Vulkan

N/A

2.0

CUDA

2.1

5.1

Shader Model

5.1

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