NVIDIA Quadro GP100 vs NVIDIA Tesla K20c
We compared two Professional market GPUs: 16GB VRAM Quadro GP100 and 5GB VRAM Tesla K20c to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro GP100 's Advantages
Released 3 years and 11 months late
Boost Clock1442MHz
More VRAM (16GB vs 5GB)
Larger VRAM bandwidth (732.2GB/s vs 208.0GB/s)
1088 additional rendering cores
NVIDIA Tesla K20c 's Advantages
Lower TDP (225W vs 235W)
Score
Benchmark
FP32 (float)
Quadro GP100
+193%
10.34 TFLOPS
Tesla K20c
3.524 TFLOPS
OctaneBench
Quadro GP100
+336%
240
Tesla K20c
55
Graphics Card
Oct 2016
Release Date
Nov 2012
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1304 MHz
Base Clock
-
1442 MHz
Boost Clock
-
715 MHz
Memory Clock
1300 MHz
Memory
16GB
Memory Size
5GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
320bit
732.2GB/s
Bandwidth
208.0GB/s
Render Config
-
-
-
56
SM Count
-
3584
Shading Units
2496
224
TMUs
208
96
ROPs
40
-
-
-
-
-
-
24 KB (per SM)
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
1280 KB
-
-
-
Theoretical Performance
138.4 GPixel/s
Pixel Rate
36.71 GPixel/s
323.0 GTexel/s
Texture Rate
146.8 GTexel/s
20.67 TFLOPS
FP16 (half)
-
10.34 TFLOPS
FP32 (float)
3.524 TFLOPS
5.168 TFLOPS
FP64 (double)
1175 GFLOPS
Board Design
235W
TDP
225W
550 W
Suggested PSU
550 W
1x DVI
4x DisplayPort 1.4a
Outputs
No outputs
1x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GP100
GPU Name
GK110
-
GPU Variant
GK110-885-KA-A1
Pascal
Architecture
Kepler
TSMC
Foundry
TSMC
16 nm
Process Size
28 nm
15.3 billion
Transistors
7.08 billion
610 mm²
Die Size
561 mm²
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
6.0
CUDA
3.5
6.4
Shader Model
5.1
