Geekbench AI Score

417
Single Precision Score
436
Half Precision Score
786
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

Upload Date June 15 2025 04:32 PM
Views 3

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-A536E
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 7.22 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 226
42.0 IPS
 
Image Classification (HP)
100% 225
41.9 IPS
 
Image Classification (Q)
100% 716
133.2 IPS
 
Image Segmentation (SP)
100% 292
4.73 IPS
 
Image Segmentation (HP)
100% 292
4.74 IPS
 
Image Segmentation (Q)
98% 808
13.1 IPS
 
Pose Estimation (SP)
100% 1115
1.30 IPS
 
Pose Estimation (HP)
100% 1012
1.18 IPS
 
Pose Estimation (Q)
84% 1189
1.41 IPS
 
Object Detection (SP)
100% 165
13.1 IPS
 
Object Detection (HP)
100% 165
13.1 IPS
 
Object Detection (Q)
83% 485
39.2 IPS
 
Face Detection (SP)
100% 534
6.34 IPS
 
Face Detection (HP)
100% 532
6.33 IPS
 
Face Detection (Q)
95% 1180
14.1 IPS
 
Depth Estimation (SP)
100% 711
5.48 IPS
 
Depth Estimation (HP)
99% 899
6.92 IPS
 
Depth Estimation (Q)
64% 1137
10.4 IPS
 
Style Transfer (SP)
89% 1407
1.83 IPS
 
Style Transfer (HP)
89% 1407
1.83 IPS
 
Style Transfer (Q)
98% 2861
3.69 IPS
 
Image Super-Resolution (SP)
100% 373
13.8 IPS
 
Image Super-Resolution (HP)
100% 524
19.3 IPS
 
Image Super-Resolution (Q)
97% 692
25.6 IPS
 
Text Classification (SP)
100% 199
265.4 IPS
 
Text Classification (HP)
100% 197
262.3 IPS
 
Text Classification (Q)
88% 402
542.7 IPS
 
Machine Translation (SP)
100% 334
5.75 IPS
 
Machine Translation (HP)
100% 329
5.66 IPS
 
Machine Translation (Q)
50% 253
8.98 IPS
 

Compare

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