Home GPU Comparison NVIDIA Quadro FX 3700M vs NVIDIA Tesla C2090

NVIDIA Quadro FX 3700M vs NVIDIA Tesla C2090

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

Main Differences

NVIDIA Quadro FX 3700M 's Advantages
Lower TDP (75W vs 250W)
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

Score

Benchmark

FP32 (float)
Quadro FX 3700M
0.352 TFLOPS
Tesla C2090 +278%
1.332 TFLOPS
VS

Graphics Card

Aug 2008
Release Date
Jul 2011
Quadro FX Mobile
Generation
Tesla
Professional
Type
Professional
MXM-HE
Bus Interface
PCIe 2.0 x16

Clock Speeds

-
-
-
-
-
-
800 MHz
Memory Clock
924 MHz

Memory

1024MB
Memory Size
6GB
GDDR3
Memory Type
GDDR5
256bit
Memory Bus
384bit
51.20GB/s
Bandwidth
177.4GB/s

Render Config

-
-
-
16
SM Count
16
128
Shading Units
512
64
TMUs
64
16
ROPs
48
-
-
-
-
-
-
-
L1 Cache
64 KB (per SM)
64 KB
L2 Cache
768 KB
-
-
-

Theoretical Performance

8.800 GPixel/s
Pixel Rate
20.83 GPixel/s
35.20 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
352.0 GFLOPS
FP32 (float)
1332 GFLOPS
-
FP64 (double)
666.1 GFLOPS

Board Design

75W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
-
-

Graphics Processor

G92
GPU Name
GF110
NB9E-GLM3
GPU Variant
-
Tesla
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
65 nm
Process Size
40 nm
0.754 billion
Transistors
3 billion
324 mm²
Die Size
520 mm²

Graphics Features

11.1 (10_0)
DirectX
12 (11_0)
3.3
OpenGL
4.6
1.1
OpenCL
1.1
N/A
Vulkan
N/A
1.1
CUDA
2.0
4.0
Shader Model
5.1

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