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GPU Comparison
NVIDIA Quadro P1000 vs NVIDIA Tesla C2090
NVIDIA Quadro P1000 vs NVIDIA Tesla C2090
VS
NVIDIA Quadro P1000
NVIDIA Tesla C2090
We compared two Professional market GPUs: 4GB VRAM Quadro P1000 and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro P1000 's Advantages
Released 5 years and 7 months late
Boost Clock1480MHz
128 additional rendering cores
Lower TDP (47W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 4GB)
Larger VRAM bandwidth (177.4GB/s vs 80.19GB/s)
Score
Benchmark
FP32 (float)
Quadro P1000
+42%
1.894 TFLOPS
Tesla C2090
1.332 TFLOPS
Quadro P1000
VS
Tesla C2090
Graphics Card
Feb 2017
Release Date
Jul 2011
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1266 MHz
Base Clock
-
1480 MHz
Boost Clock
-
1253 MHz
Memory Clock
924 MHz
Memory
4GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
128bit
Memory Bus
384bit
80.19GB/s
Bandwidth
177.4GB/s
Render Config
5
SM Count
16
-
Compute Units
-
640
Shading Units
512
40
TMUs
64
32
ROPs
48
-
Tensor Cores
-
-
RT Cores
-
48 KB (per SM)
L1 Cache
64 KB (per SM)
1024 KB
L2 Cache
768 KB
Theoretical Performance
47.36 GPixel/s
Pixel Rate
20.83 GPixel/s
59.20 GTexel/s
Texture Rate
41.66 GTexel/s
29.60 GFLOPS
FP16 (half)
-
1.894 TFLOPS
FP32 (float)
1332 GFLOPS
59.20 GFLOPS
FP64 (double)
666.1 GFLOPS
Graphics Processor
GP107
GPU Name
GF110
GP107-860-A1
GPU Variant
-
Pascal
Architecture
Fermi 2.0
Samsung
Foundry
TSMC
14 nm
Process Size
40 nm
3.3 billion
Transistors
3 billion
132 mm²
Die Size
520 mm²
Board Design
47W
TDP
250W
200 W
Suggested PSU
600 W
4x mini-DisplayPort 1.4a
Outputs
No outputs
None
Power Connectors
-
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
6.1
CUDA
2.0
6.4
Shader Model
5.1
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