Geekbench AI Score

246
Single Precision Score
245
Half Precision Score
298
Quantized Score
Geekbench AI 1.1.0 for Android AArch64

Result Information

User benched
Upload Date October 08 2024 07:39 PM
Views 11

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
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% 114
21.2 IPS
 
Image Classification (HP)
100% 116
21.5 IPS
 
Image Classification (Q)
100% 210
39.0 IPS
 
Image Segmentation (SP)
100% 154
2.50 IPS
 
Image Segmentation (HP)
100% 153
2.49 IPS
 
Image Segmentation (Q)
98% 277
4.51 IPS
 
Pose Estimation (SP)
100% 539
0.63 IPS
 
Pose Estimation (HP)
100% 523
0.61 IPS
 
Pose Estimation (Q)
84% 413
0.49 IPS
 
Object Detection (SP)
100% 105
8.32 IPS
 
Object Detection (HP)
100% 107
8.47 IPS
 
Object Detection (Q)
83% 196
15.8 IPS
 
Face Detection (SP)
100% 347
4.12 IPS
 
Face Detection (HP)
100% 342
4.06 IPS
 
Face Detection (Q)
95% 486
5.80 IPS
 
Depth Estimation (SP)
100% 431
3.32 IPS
 
Depth Estimation (HP)
99% 420
3.23 IPS
 
Depth Estimation (Q)
64% 424
3.88 IPS
 
Style Transfer (SP)
89% 897
1.16 IPS
 
Style Transfer (HP)
89% 914
1.19 IPS
 
Style Transfer (Q)
98% 1162
1.50 IPS
 
Image Super-Resolution (SP)
100% 253
9.33 IPS
 
Image Super-Resolution (HP)
100% 252
9.31 IPS
 
Image Super-Resolution (Q)
97% 250
9.25 IPS
 
Text Classification (SP)
100% 125
167.1 IPS
 
Text Classification (HP)
100% 124
166.1 IPS
 
Text Classification (Q)
88% 177
238.8 IPS
 
Machine Translation (SP)
100% 194
3.35 IPS
 
Machine Translation (HP)
100% 196
3.38 IPS
 
Machine Translation (Q)
50% 111
3.95 IPS
 

Compare

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