Home GPU Comparison NVIDIA Quadro K5000M vs NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro K5000M vs NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 4GB VRAM Quadro K5000M and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K5000M 's Advantages
Lower TDP (100W vs 250W)
NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 7 years and 3 months late
Boost Clock1597MHz
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (1133GB/s vs 96.00GB/s)
3776 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K5000M
1.615 TFLOPS
Tesla V100 SXM2 16 GB +912%
16.35 TFLOPS
VS

Graphics Card

Aug 2012
Release Date
Nov 2019
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-B (3.0)
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
1245 MHz
-
Boost Clock
1597 MHz
750 MHz
Memory Clock
1106 MHz

Memory

4GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
96.00GB/s
Bandwidth
1133GB/s

Render Config

-
-
-
-
SM Count
80
1344
Shading Units
5120
112
TMUs
320
32
ROPs
128
-
Tensor Cores
640
-
-
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
6 MB
-
-
-

Theoretical Performance

16.83 GPixel/s
Pixel Rate
204.4 GPixel/s
67.31 GTexel/s
Texture Rate
511.0 GTexel/s
-
FP16 (half)
32.71 TFLOPS
1.615 TFLOPS
FP32 (float)
16.35 TFLOPS
67.31 GFLOPS
FP64 (double)
8.177 TFLOPS

Board Design

100W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
None

Graphics Processor

GK104
GPU Name
GV100
N14E-Q5-A2
GPU Variant
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
3.54 billion
Transistors
21.1 billion
294 mm²
Die Size
815 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
7.0
5.1
Shader Model
6.6

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