Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro FX 3700M

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro FX 3700M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 1024MB VRAM Quadro FX 3700M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 11 years and 3 months late
Boost Clock1597MHz
More VRAM (16GB vs 1024GB)
Larger VRAM bandwidth (1133GB/s vs 51.20GB/s)
4992 additional rendering cores
NVIDIA Quadro FX 3700M 's Advantages
Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB +4544%
16.35 TFLOPS
Quadro FX 3700M
0.352 TFLOPS
VS

Graphics Card

Nov 2019
Release Date
Aug 2008
Tesla
Generation
Quadro FX Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-HE

Clock Speeds

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

Memory

16GB
Memory Size
1024MB
HBM2
Memory Type
GDDR3
4096bit
Memory Bus
256bit
1133GB/s
Bandwidth
51.20GB/s

Render Config

-
-
-
80
SM Count
16
5120
Shading Units
128
320
TMUs
64
128
ROPs
16
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
-
6 MB
L2 Cache
64 KB
-
-
-

Theoretical Performance

204.4 GPixel/s
Pixel Rate
8.800 GPixel/s
511.0 GTexel/s
Texture Rate
35.20 GTexel/s
32.71 TFLOPS
FP16 (half)
-
16.35 TFLOPS
FP32 (float)
352.0 GFLOPS
8.177 TFLOPS
FP64 (double)
-

Board Design

250W
TDP
75W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GV100
GPU Name
G92
-
GPU Variant
NB9E-GLM3
Volta
Architecture
Tesla
TSMC
Foundry
TSMC
12 nm
Process Size
65 nm
21.1 billion
Transistors
0.754 billion
815 mm²
Die Size
324 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
7.0
CUDA
1.1
6.6
Shader Model
4.0

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