Home GPU Comparison NVIDIA Quadro K5200 vs NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro K5200 vs NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 8GB VRAM Quadro K5200 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 K5200 's Advantages
Lower TDP (150W vs 250W)
NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 5 years and 4 months late
Boost Clock has increased by 107% (1597MHz vs 771MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (1133GB/s vs 192.3GB/s)
2816 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K5200
3.553 TFLOPS
Tesla V100 SXM2 16 GB +360%
16.35 TFLOPS
Blender
Quadro K5200
293
Tesla V100 SXM2 16 GB +730%
2432
VS

Graphics Card

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

Clock Speeds

667 MHz
Base Clock
1245 MHz
771 MHz
Boost Clock
1597 MHz
1502 MHz
Memory Clock
1106 MHz

Memory

8GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
192.3GB/s
Bandwidth
1133GB/s

Render Config

-
-
-
-
SM Count
80
2304
Shading Units
5120
192
TMUs
320
48
ROPs
128
-
Tensor Cores
640
-
-
-
-
L1 Cache
128 KB (per SM)
-
L2 Cache
6 MB
-
-
-

Theoretical Performance

37.01 GPixel/s
Pixel Rate
204.4 GPixel/s
148.0 GTexel/s
Texture Rate
511.0 GTexel/s
-
FP16 (half)
32.71 TFLOPS
3.553 TFLOPS
FP32 (float)
16.35 TFLOPS
148.0 GFLOPS
FP64 (double)
8.177 TFLOPS

Board Design

150W
TDP
250W
450 W
Suggested PSU
600 W
2x DVI 2x DisplayPort 1.2
Outputs
No outputs
1x 6-pin
Power Connectors
None

Graphics Processor

GK110B
GPU Name
GV100
-
-
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
7.08 billion
Transistors
21.1 billion
561 mm²
Die Size
815 mm²

Graphics Features

12 (11_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
7.0
5.1
Shader Model
6.6

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