Home GPU Comparison NVIDIA Tesla C2090 vs NVIDIA Quadro P1000

NVIDIA Tesla C2090 vs NVIDIA Quadro P1000

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 4GB VRAM Quadro P1000 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 4GB)
Larger VRAM bandwidth (177.4GB/s vs 80.19GB/s)
NVIDIA Quadro P1000 's Advantages
Released 5 years and 7 months late
Boost Clock1480MHz
128 additional rendering cores
Lower TDP (47W vs 250W)

Score

Benchmark

FP32 (float)
Tesla C2090
1.332 TFLOPS
Quadro P1000 +42%
1.894 TFLOPS
VS

Graphics Card

Jul 2011
Release Date
Feb 2017
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
1266 MHz
-
Boost Clock
1480 MHz
924 MHz
Memory Clock
1253 MHz

Memory

6GB
Memory Size
4GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
128bit
177.4GB/s
Bandwidth
80.19GB/s

Render Config

-
-
-
16
SM Count
5
512
Shading Units
640
64
TMUs
40
48
ROPs
32
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
48 KB (per SM)
768 KB
L2 Cache
1024 KB
-
-
-

Theoretical Performance

20.83 GPixel/s
Pixel Rate
47.36 GPixel/s
41.66 GTexel/s
Texture Rate
59.20 GTexel/s
-
FP16 (half)
29.60 GFLOPS
1332 GFLOPS
FP32 (float)
1.894 TFLOPS
666.1 GFLOPS
FP64 (double)
59.20 GFLOPS

Board Design

250W
TDP
47W
600 W
Suggested PSU
200 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
-
Power Connectors
None

Graphics Processor

GF110
GPU Name
GP107
-
GPU Variant
GP107-860-A1
Fermi 2.0
Architecture
Pascal
TSMC
Foundry
Samsung
40 nm
Process Size
14 nm
3 billion
Transistors
3.3 billion
520 mm²
Die Size
132 mm²

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
6.1
5.1
Shader Model
6.4

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