Geekbench AI Score

513
Single Precision Score
508
Half Precision Score
1005
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

Upload Date December 31 2024 04:46 PM
Views 2

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM ARMv8
System Information
Operating System Android 14
Model samsung SM-A166P
Model IDsamsung SM-A166P
Motherboard a16xm
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 4 part 3339 revision 0
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.40 GHz
Memory Information
Size 7.32 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 233
43.4 IPS
 
Image Classification (HP)
100% 231
43.0 IPS
 
Image Classification (Q)
100% 688
128.0 IPS
 
Image Segmentation (SP)
100% 280
4.54 IPS
 
Image Segmentation (HP)
100% 278
4.51 IPS
 
Image Segmentation (Q)
98% 744
12.1 IPS
 
Pose Estimation (SP)
100% 1089
1.27 IPS
 
Pose Estimation (HP)
100% 1086
1.27 IPS
 
Pose Estimation (Q)
84% 1712
2.03 IPS
 
Object Detection (SP)
100% 233
18.5 IPS
 
Object Detection (HP)
100% 232
18.4 IPS
 
Object Detection (Q)
83% 654
52.8 IPS
 
Face Detection (SP)
100% 723
8.59 IPS
 
Face Detection (HP)
100% 726
8.63 IPS
 
Face Detection (Q)
95% 1602
19.1 IPS
 
Depth Estimation (SP)
100% 913
7.04 IPS
 
Depth Estimation (HP)
99% 850
6.55 IPS
 
Depth Estimation (Q)
64% 1632
14.9 IPS
 
Style Transfer (SP)
89% 1937
2.51 IPS
 
Style Transfer (HP)
89% 1912
2.48 IPS
 
Style Transfer (Q)
98% 4106
5.29 IPS
 
Image Super-Resolution (SP)
100% 421
15.5 IPS
 
Image Super-Resolution (HP)
100% 428
15.8 IPS
 
Image Super-Resolution (Q)
97% 1002
37.1 IPS
 
Text Classification (SP)
100% 288
384.1 IPS
 
Text Classification (HP)
100% 286
381.4 IPS
 
Text Classification (Q)
88% 502
676.9 IPS
 
Machine Translation (SP)
100% 495
8.52 IPS
 
Machine Translation (HP)
100% 492
8.48 IPS
 
Machine Translation (Q)
50% 341
12.1 IPS
 

Compare

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