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GPU Comparison
NVIDIA Quadro GP100 vs NVIDIA Tesla M1060
NVIDIA Quadro GP100 vs NVIDIA Tesla M1060
VS
NVIDIA Quadro GP100
NVIDIA Tesla M1060
We compared two Professional market GPUs: 16GB VRAM Quadro GP100 and 2GB VRAM Tesla M1060 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro GP100 's Advantages
Released 8 years and 4 months late
Boost Clock1442MHz
More VRAM (16GB vs 2GB)
Larger VRAM bandwidth (732.2GB/s vs 102.4GB/s)
3344 additional rendering cores
NVIDIA Tesla M1060 's Advantages
Lower TDP (188W vs 235W)
Score
Benchmark
FP32 (float)
Quadro GP100
+1562%
10.34 TFLOPS
Tesla M1060
0.622 TFLOPS
Quadro GP100
VS
Tesla M1060
Graphics Card
Oct 2016
Release Date
Jun 2008
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
800 MHz
Memory
16GB
Memory Size
2GB
HBM2
Memory Type
GDDR3
4096bit
Memory Bus
512bit
732.2GB/s
Bandwidth
102.4GB/s
Render Config
-
-
-
56
SM Count
30
3584
Shading Units
240
224
TMUs
80
96
ROPs
32
-
-
-
-
-
-
24 KB (per SM)
L1 Cache
-
4 MB
L2 Cache
256 KB
-
-
-
Theoretical Performance
138.4 GPixel/s
Pixel Rate
19.52 GPixel/s
323.0 GTexel/s
Texture Rate
48.80 GTexel/s
20.67 TFLOPS
FP16 (half)
-
10.34 TFLOPS
FP32 (float)
622.1 GFLOPS
5.168 TFLOPS
FP64 (double)
77.76 GFLOPS
Board Design
235W
TDP
188W
550 W
Suggested PSU
450 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
GT200B
-
-
-
Pascal
Architecture
Tesla 2.0
TSMC
Foundry
TSMC
16 nm
Process Size
55 nm
15.3 billion
Transistors
1.4 billion
610 mm²
Die Size
470 mm²
Graphics Features
12 (12_1)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1
1.3
Vulkan
N/A
6.0
CUDA
1.3
6.4
Shader Model
4.0
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6
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9
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10
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