NVIDIA Quadro FX 3800M vs NVIDIA Tesla P100 PCIe 16 GB

VS

NVIDIA Quadro FX 3800M NVIDIA Tesla P100 PCIe 16 GB

We compared two Professional market GPUs: 1024MB VRAM Quadro FX 3800M and 16GB VRAM Tesla P100 PCIe 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro FX 3800M 's Advantages

Lower TDP (100W vs 250W)

NVIDIA Tesla P100 PCIe 16 GB 's Advantages

Released 7 years and 10 months late

Boost Clock1329MHz

More VRAM (16GB vs 1GB)

Larger VRAM bandwidth (732.2GB/s vs 64.00GB/s)

3456 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro FX 3800M

0.422 TFLOPS

Tesla P100 PCIe 16 GB +2157%

9.526 TFLOPS

Quadro FX 3800M

VS

Tesla P100 PCIe 16 GB

Graphics Card

Aug 2008

Release Date

Jun 2016

Quadro FX Mobile

Generation

Tesla

Professional

Type

Professional

MXM-B (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1190 MHz

-

Boost Clock

1329 MHz

1000 MHz

Memory Clock

715 MHz

Memory

1024MB

Memory Size

16GB

GDDR3

Memory Type

HBM2

256bit

Memory Bus

4096bit

64.00GB/s

Bandwidth

732.2GB/s

Render Config

16

SM Count

56

-

Compute Units

-

128

Shading Units

3584

64

TMUs

224

16

ROPs

96

-

Tensor Cores

-

RT Cores

-

L1 Cache

24 KB (per SM)

64 KB

L2 Cache

4 MB

Theoretical Performance

10.80 GPixel/s

Pixel Rate

127.6 GPixel/s

43.20 GTexel/s

Texture Rate

297.7 GTexel/s

-

FP16 (half)

19.05 TFLOPS

422.4 GFLOPS

FP32 (float)

9.526 TFLOPS

-

FP64 (double)

4.763 TFLOPS

Graphics Processor

G92

GPU Name

GP100

N10E-GLM3-B2

GPU Variant

GP100-893-A1

Tesla

Architecture

Pascal

TSMC

Foundry

TSMC

65 nm

Process Size

16 nm

0.754 billion

Transistors

15.3 billion

324 mm²

Die Size

610 mm²

Board Design

100W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Features

11.1 (10_0)

DirectX

12 (12_1)

3.3

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

1.1

CUDA

6.0

4.0

Shader Model

6.4

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