Geekbench AI Score

557
Single Precision Score
555
Half Precision Score
1112
Quantized Score
Geekbench AI 1.6.1 for Android AArch64

Result Information

User aqus
Upload Date January 23 2026 05:23 AM
Views 5

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM ARMv8
System Information
Operating System Android 16
Model samsung SM-A166W
Model IDsamsung SM-A166W
Motherboard s5e8535
Governorenergy_aware
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.40 GHz
Memory Information
Size 3.37 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 254
47.2 IPS
 
Image Classification (HP)
100% 248
46.1 IPS
 
Image Classification (Q)
100% 774
144.0 IPS
 
Image Segmentation (SP)
100% 319
5.17 IPS
 
Image Segmentation (HP)
100% 319
5.17 IPS
 
Image Segmentation (Q)
98% 894
14.5 IPS
 
Pose Estimation (SP)
100% 1189
1.39 IPS
 
Pose Estimation (HP)
100% 1183
1.38 IPS
 
Pose Estimation (Q)
84% 1808
2.14 IPS
 
Object Detection (SP)
100% 231
18.3 IPS
 
Object Detection (HP)
100% 232
18.4 IPS
 
Object Detection (Q)
83% 749
60.5 IPS
 
Face Detection (SP)
100% 791
9.40 IPS
 
Face Detection (HP)
100% 782
9.30 IPS
 
Face Detection (Q)
95% 1770
21.1 IPS
 
Depth Estimation (SP)
100% 1028
7.92 IPS
 
Depth Estimation (HP)
99% 1037
7.99 IPS
 
Depth Estimation (Q)
64% 1694
15.5 IPS
 
Style Transfer (SP)
89% 1972
2.56 IPS
 
Style Transfer (HP)
89% 1986
2.58 IPS
 
Style Transfer (Q)
98% 4223
5.45 IPS
 
Image Super-Resolution (SP)
100% 563
20.8 IPS
 
Image Super-Resolution (HP)
100% 555
20.5 IPS
 
Image Super-Resolution (Q)
97% 1038
38.5 IPS
 
Text Classification (SP)
100% 304
406.4 IPS
 
Text Classification (HP)
100% 306
408.0 IPS
 
Text Classification (Q)
88% 636
858.4 IPS
 
Machine Translation (SP)
100% 476
8.19 IPS
 
Machine Translation (HP)
100% 469
8.07 IPS
 
Machine Translation (Q)
50% 372
13.2 IPS
 

Compare

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