Home GPU Comparison NVIDIA Quadro M1000M vs NVIDIA Tesla C2090

NVIDIA Quadro M1000M vs NVIDIA Tesla C2090

We compared two Professional market GPUs: 2GB VRAM Quadro M1000M and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M1000M 's Advantages
Released 4 years and 1 months late
Lower TDP (40W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 2GB)
Larger VRAM bandwidth (177.4GB/s vs 80.19GB/s)

Score

Benchmark

FP32 (float)
Quadro M1000M
1.017 TFLOPS
Tesla C2090 +30%
1.332 TFLOPS
VS

Graphics Card

Aug 2015
Release Date
Jul 2011
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 2.0 x16

Clock Speeds

-
Base Clock
-
-
Boost Clock
-
1253 MHz
Memory Clock
924 MHz

Memory

2GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
128bit
Memory Bus
384bit
80.19GB/s
Bandwidth
177.4GB/s

Render Config

-
SM Count
16
-
Compute Units
-
512
Shading Units
512
32
TMUs
64
16
ROPs
48
-
Tensor Cores
-
-
RT Cores
-
64 KB (per SMM)
L1 Cache
64 KB (per SM)
2 MB
L2 Cache
768 KB

Theoretical Performance

15.89 GPixel/s
Pixel Rate
20.83 GPixel/s
31.78 GTexel/s
Texture Rate
41.66 GTexel/s
-
FP16 (half)
-
1017 GFLOPS
FP32 (float)
1332 GFLOPS
31.78 GFLOPS
FP64 (double)
666.1 GFLOPS

Graphics Processor

GM107
GPU Name
GF110
N16P-Q1-A2
GPU Variant
-
Maxwell
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
40 nm
1.87 billion
Transistors
3 billion
148 mm²
Die Size
520 mm²

Board Design

40W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Features

12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
5.0
CUDA
2.0
5.1
Shader Model
5.1

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