Geekbench AI Score

369
Single Precision Score
364
Half Precision Score
729
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

User legacybenchmark
Upload Date April 12 2025 07:00 PM
Views 5

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device Samsung Exynos 1280
System Information
Operating System Android 14
Model Samsung Galaxy A53 5G
Model IDsamsung SM-A536B
Motherboard s5e8825
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 5.26 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 163
30.4 IPS
 
Image Classification (HP)
100% 163
30.4 IPS
 
Image Classification (Q)
100% 494
91.8 IPS
 
Image Segmentation (SP)
100% 209
3.39 IPS
 
Image Segmentation (HP)
100% 209
3.39 IPS
 
Image Segmentation (Q)
98% 568
9.24 IPS
 
Pose Estimation (SP)
100% 812
0.95 IPS
 
Pose Estimation (HP)
100% 793
0.93 IPS
 
Pose Estimation (Q)
84% 1198
1.42 IPS
 
Object Detection (SP)
100% 162
12.8 IPS
 
Object Detection (HP)
100% 162
12.9 IPS
 
Object Detection (Q)
83% 486
39.2 IPS
 
Face Detection (SP)
100% 505
6.00 IPS
 
Face Detection (HP)
100% 500
5.95 IPS
 
Face Detection (Q)
95% 1172
14.0 IPS
 
Depth Estimation (SP)
100% 684
5.27 IPS
 
Depth Estimation (HP)
99% 645
4.97 IPS
 
Depth Estimation (Q)
64% 1138
10.4 IPS
 
Style Transfer (SP)
89% 1369
1.78 IPS
 
Style Transfer (HP)
89% 1375
1.79 IPS
 
Style Transfer (Q)
98% 2847
3.67 IPS
 
Image Super-Resolution (SP)
100% 339
12.5 IPS
 
Image Super-Resolution (HP)
100% 331
12.2 IPS
 
Image Super-Resolution (Q)
97% 689
25.5 IPS
 
Text Classification (SP)
100% 198
263.8 IPS
 
Text Classification (HP)
100% 197
263.2 IPS
 
Text Classification (Q)
88% 398
536.3 IPS
 
Machine Translation (SP)
100% 330
5.69 IPS
 
Machine Translation (HP)
100% 327
5.64 IPS
 
Machine Translation (Q)
50% 251
8.92 IPS
 

Compare

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