Home GPU Comparison NVIDIA Tesla C2090 vs NVIDIA Quadro M5000M

NVIDIA Tesla C2090 vs NVIDIA Quadro M5000M

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 8GB VRAM Quadro M5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 160.4GB/s)
NVIDIA Quadro M5000M 's Advantages
Released 4 years and 1 months late
More VRAM (8GB vs 6GB)
1024 additional rendering cores
Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)
Tesla C2090
1.332 TFLOPS
Quadro M5000M +124%
2.995 TFLOPS
VS

Graphics Card

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

Clock Speeds

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

Memory

6GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
256bit
177.4GB/s
Bandwidth
160.4GB/s

Render Config

16
SM Count
-
-
Compute Units
-
512
Shading Units
1536
64
TMUs
96
48
ROPs
64
-
Tensor Cores
-
-
RT Cores
-
64 KB (per SM)
L1 Cache
48 KB (per SMM)
768 KB
L2 Cache
2 MB

Theoretical Performance

20.83 GPixel/s
Pixel Rate
62.40 GPixel/s
41.66 GTexel/s
Texture Rate
93.60 GTexel/s
-
FP16 (half)
-
1332 GFLOPS
FP32 (float)
2.995 TFLOPS
666.1 GFLOPS
FP64 (double)
93.60 GFLOPS

Graphics Processor

GF110
GPU Name
GM204
-
GPU Variant
N16E-Q5-A1
Fermi 2.0
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
40 nm
Process Size
28 nm
3 billion
Transistors
5.2 billion
520 mm²
Die Size
398 mm²

Board Design

250W
TDP
100W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
-
Power Connectors
None

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
5.2
5.1
Shader Model
6.4

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