Home GPU Comparison NVIDIA Quadro K2200 vs NVIDIA Tesla P100 PCIe 16 GB

NVIDIA Quadro K2200 vs NVIDIA Tesla P100 PCIe 16 GB

We compared two Professional market GPUs: 4GB VRAM Quadro K2200 and 16GB VRAM Tesla P100 PCIe 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K2200 's Advantages
Lower TDP (68W vs 250W)
NVIDIA Tesla P100 PCIe 16 GB 's Advantages
Released 1 years and 11 months late
Boost Clock has increased by 18% (1329MHz vs 1124MHz)
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (732.2GB/s vs 80.19GB/s)
2944 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K2200
1.439 TFLOPS
Tesla P100 PCIe 16 GB +561%
9.526 TFLOPS
Blender
Quadro K2200
127
Tesla P100 PCIe 16 GB +761%
1094
OctaneBench
Quadro K2200
34
Tesla P100 PCIe 16 GB +550%
221
VS

Graphics Card

Jul 2014
Release Date
Jun 2016
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1046 MHz
Base Clock
1190 MHz
1124 MHz
Boost Clock
1329 MHz
1253 MHz
Memory Clock
715 MHz

Memory

4GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
128bit
Memory Bus
4096bit
80.19GB/s
Bandwidth
732.2GB/s

Render Config

-
-
-
-
SM Count
56
640
Shading Units
3584
40
TMUs
224
16
ROPs
96
-
-
-
-
-
-
64 KB (per SMM)
L1 Cache
24 KB (per SM)
2 MB
L2 Cache
4 MB
-
-
-

Theoretical Performance

17.98 GPixel/s
Pixel Rate
127.6 GPixel/s
44.96 GTexel/s
Texture Rate
297.7 GTexel/s
-
FP16 (half)
19.05 TFLOPS
1439 GFLOPS
FP32 (float)
9.526 TFLOPS
44.96 GFLOPS
FP64 (double)
4.763 TFLOPS

Board Design

68W
TDP
250W
250 W
Suggested PSU
600 W
1x DVI 2x DisplayPort 1.4a
Outputs
No outputs
None
Power Connectors
1x 8-pin

Graphics Processor

GM107
GPU Name
GP100
-
GPU Variant
GP100-893-A1
Maxwell
Architecture
Pascal
TSMC
Foundry
TSMC
28 nm
Process Size
16 nm
1.87 billion
Transistors
15.3 billion
148 mm²
Die Size
610 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.0
CUDA
6.0
5.1
Shader Model
6.4

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