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GPU Comparison
NVIDIA Tesla C1060 vs NVIDIA Quadro GP100
NVIDIA Tesla C1060 vs NVIDIA Quadro GP100
VS
NVIDIA Tesla C1060
NVIDIA Quadro GP100
We compared two Professional market GPUs: 4GB VRAM Tesla C1060 and 16GB VRAM Quadro GP100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla C1060 's Advantages
Lower TDP (188W vs 235W)
NVIDIA Quadro GP100 's Advantages
Released 7 years and 6 months late
Boost Clock1442MHz
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (732.2GB/s vs 102.4GB/s)
3344 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla C1060
0.622 TFLOPS
Quadro GP100
+1562%
10.34 TFLOPS
Tesla C1060
VS
Quadro GP100
Graphics Card
Apr 2009
Release Date
Oct 2016
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1304 MHz
-
Boost Clock
1442 MHz
800 MHz
Memory Clock
715 MHz
Memory
4GB
Memory Size
16GB
GDDR3
Memory Type
HBM2
512bit
Memory Bus
4096bit
102.4GB/s
Bandwidth
732.2GB/s
Render Config
-
-
-
30
SM Count
56
240
Shading Units
3584
80
TMUs
224
32
ROPs
96
-
-
-
-
-
-
-
L1 Cache
24 KB (per SM)
256 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
19.52 GPixel/s
Pixel Rate
138.4 GPixel/s
48.80 GTexel/s
Texture Rate
323.0 GTexel/s
-
FP16 (half)
20.67 TFLOPS
622.1 GFLOPS
FP32 (float)
10.34 TFLOPS
77.76 GFLOPS
FP64 (double)
5.168 TFLOPS
Board Design
188W
TDP
235W
450 W
Suggested PSU
550 W
No outputs
Outputs
1x DVI 4x DisplayPort 1.4a
1x 6-pin + 1x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
GT200B
GPU Name
GP100
-
-
-
Tesla 2.0
Architecture
Pascal
TSMC
Foundry
TSMC
55 nm
Process Size
16 nm
1.4 billion
Transistors
15.3 billion
470 mm²
Die Size
610 mm²
Graphics Features
11.1 (10_0)
DirectX
12 (12_1)
3.3
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
1.3
CUDA
6.0
4.0
Shader Model
6.4
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