Home GPU Comparison NVIDIA Tesla K80 vs NVIDIA Quadro T1000 Max Q

NVIDIA Tesla K80 vs NVIDIA Quadro T1000 Max Q

We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 4GB VRAM Quadro T1000 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K80 's Advantages
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (240.6GB/s vs 80.00GB/s)
1600 additional rendering cores
NVIDIA Quadro T1000 Max Q 's Advantages
Released 4 years and 6 months late
Boost Clock has increased by 64% (1350MHz vs 824MHz)
Lower TDP (50W vs 300W)

Score

Benchmark

FP32 (float)
Tesla K80 +70%
4.113 TFLOPS
Quadro T1000 Max Q
2.419 TFLOPS
Blender
Tesla K80
373
Quadro T1000 Max Q +13%
422
OctaneBench
Tesla K80 +12%
62
Quadro T1000 Max Q
55
VS

Graphics Card

Nov 2014
Release Date
May 2019
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

562 MHz
Base Clock
765 MHz
824 MHz
Boost Clock
1350 MHz
1253 MHz
Memory Clock
1250 MHz

Memory

12GB
Memory Size
4GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
128bit
240.6GB/s
Bandwidth
80.00GB/s

Render Config

-
SM Count
14
-
Compute Units
-
2496
Shading Units
896
208
TMUs
56
48
ROPs
32
-
Tensor Cores
-
-
RT Cores
-
16 KB (per SMX)
L1 Cache
64 KB (per SM)
1536 KB
L2 Cache
1024 KB

Theoretical Performance

42.85 GPixel/s
Pixel Rate
43.20 GPixel/s
171.4 GTexel/s
Texture Rate
75.60 GTexel/s
-
FP16 (half)
4.838 TFLOPS
4.113 TFLOPS
FP32 (float)
2.419 TFLOPS
1371 GFLOPS
FP64 (double)
75.60 GFLOPS

Graphics Processor

GK210
GPU Name
TU117
GK210-885-A1
GPU Variant
-
Kepler 2.0
Architecture
Turing
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
7.1 billion
Transistors
4.7 billion
561 mm²
Die Size
200 mm²

Board Design

300W
TDP
50W
700 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
None

Graphics Features

12 (11_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.7
CUDA
7.5
5.1
Shader Model
6.6

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