Geekbench AI Score

117
Single Precision Score
150
Half Precision Score
150
Quantized Score
Geekbench AI 1.1.0 for Android AArch64

Result Information

User benched
Upload Date October 23 2024 04:47 AM
Views 6

System Information

AI Information
Framework TensorFlow Lite
Backend GPU
Device ARM ARMv8
System Information
Operating System Android 13
Model samsung SM-G715FN
Model IDsamsung SM-G715FN
Motherboard exynos9611
Governorschedutil
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 0 part 3337 revision 2
Base Frequency 1.74 GHz
Cluster 14 Cores @ 1.74 GHz
Cluster 24 Cores @ 2.31 GHz
Memory Information
Size 3.49 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 108
20.2 IPS
 
Image Classification (HP)
100% 180
33.4 IPS
 
Image Classification (Q)
99% 172
32.0 IPS
 
Image Segmentation (SP)
100% 117
1.90 IPS
 
Image Segmentation (HP)
100% 160
2.59 IPS
 
Image Segmentation (Q)
98% 156
2.54 IPS
 
Pose Estimation (SP)
100% 81
0.09 IPS
 
Pose Estimation (HP)
100% 109
0.13 IPS
 
Pose Estimation (Q)
96% 109
0.13 IPS
 
Object Detection (SP)
100% 86
6.84 IPS
 
Object Detection (HP)
100% 145
11.5 IPS
 
Object Detection (Q)
83% 97
7.83 IPS
 
Face Detection (SP)
100% 216
2.57 IPS
 
Face Detection (HP)
100% 303
3.59 IPS
 
Face Detection (Q)
97% 425
5.07 IPS
 
Depth Estimation (SP)
100% 177
1.37 IPS
 
Depth Estimation (HP)
99% 162
1.25 IPS
 
Depth Estimation (Q)
62% 201
1.90 IPS
 
Style Transfer (SP)
100% 333
0.43 IPS
 
Style Transfer (HP)
100% 548
0.70 IPS
 
Style Transfer (Q)
98% 545
0.70 IPS
 
Image Super-Resolution (SP)
100% 117
4.33 IPS
 
Image Super-Resolution (HP)
100% 117
4.31 IPS
 
Image Super-Resolution (Q)
97% 115
4.26 IPS
 
Text Classification (SP)
100% 47
62.6 IPS
 
Text Classification (HP)
100% 48
64.2 IPS
 
Text Classification (Q)
91% 61
82.6 IPS
 
Machine Translation (SP)
100% 84
1.45 IPS
 
Machine Translation (HP)
100% 84
1.45 IPS
 
Machine Translation (Q)
57% 63
1.54 IPS
 

Compare

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