Home GPU Comparison NVIDIA Quadro M5000M vs NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro M5000M vs NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 8GB VRAM Quadro M5000M 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 M5000M 's Advantages
Lower TDP (100W vs 250W)
NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 4 years and 3 months late
Boost Clock1597MHz
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (1133GB/s vs 160.4GB/s)
3584 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro M5000M
2.995 TFLOPS
Tesla V100 SXM2 16 GB +445%
16.35 TFLOPS
Blender
Quadro M5000M
275
Tesla V100 SXM2 16 GB +784%
2432
OctaneBench
Quadro M5000M
61
Tesla V100 SXM2 16 GB +480%
354
VS

Graphics Card

Aug 2015
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
1253 MHz
Memory Clock
1106 MHz

Memory

8GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
160.4GB/s
Bandwidth
1133GB/s

Render Config

-
-
-
-
SM Count
80
1536
Shading Units
5120
96
TMUs
320
64
ROPs
128
-
Tensor Cores
640
-
-
-
48 KB (per SMM)
L1 Cache
128 KB (per SM)
2 MB
L2 Cache
6 MB
-
-
-

Theoretical Performance

62.40 GPixel/s
Pixel Rate
204.4 GPixel/s
93.60 GTexel/s
Texture Rate
511.0 GTexel/s
-
FP16 (half)
32.71 TFLOPS
2.995 TFLOPS
FP32 (float)
16.35 TFLOPS
93.60 GFLOPS
FP64 (double)
8.177 TFLOPS

Board Design

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

Graphics Processor

GM204
GPU Name
GV100
N16E-Q5-A1
GPU Variant
-
Maxwell 2.0
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
5.2 billion
Transistors
21.1 billion
398 mm²
Die Size
815 mm²

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.2
CUDA
7.0
6.4
Shader Model
6.6

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