Geekbench AI Score

139
Single Precision Score
139
Half Precision Score
392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

User M91
Upload Date May 12 2025 07:22 PM
Views 4

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device ARM ARMv8
System Information
Operating System Android 15
Model samsung SM-A366W
Model IDsamsung SM-A366W
Motherboard parrot
Governorwalt
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 2
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 24 Cores @ 2.40 GHz
Memory Information
Size 5.16 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 81
15.0 IPS
 
Image Classification (HP)
100% 81
15.0 IPS
 
Image Classification (Q)
99% 256
47.7 IPS
 
Image Segmentation (SP)
100% 111
1.79 IPS
 
Image Segmentation (HP)
100% 111
1.80 IPS
 
Image Segmentation (Q)
98% 300
4.89 IPS
 
Pose Estimation (SP)
100% 139
0.16 IPS
 
Pose Estimation (HP)
100% 139
0.16 IPS
 
Pose Estimation (Q)
98% 561
0.66 IPS
 
Object Detection (SP)
100% 79
6.27 IPS
 
Object Detection (HP)
100% 79
6.29 IPS
 
Object Detection (Q)
87% 266
21.3 IPS
 
Face Detection (SP)
100% 232
2.76 IPS
 
Face Detection (HP)
100% 234
2.78 IPS
 
Face Detection (Q)
97% 620
7.39 IPS
 
Depth Estimation (SP)
100% 184
1.42 IPS
 
Depth Estimation (HP)
99% 184
1.42 IPS
 
Depth Estimation (Q)
64% 519
4.71 IPS
 
Style Transfer (SP)
100% 334
0.43 IPS
 
Style Transfer (HP)
100% 334
0.43 IPS
 
Style Transfer (Q)
98% 1047
1.35 IPS
 
Image Super-Resolution (SP)
100% 86
3.18 IPS
 
Image Super-Resolution (HP)
100% 86
3.17 IPS
 
Image Super-Resolution (Q)
97% 331
12.3 IPS
 
Text Classification (SP)
100% 113
150.8 IPS
 
Text Classification (HP)
100% 113
150.3 IPS
 
Text Classification (Q)
91% 277
371.7 IPS
 
Machine Translation (SP)
100% 199
3.42 IPS
 
Machine Translation (HP)
100% 198
3.42 IPS
 
Machine Translation (Q)
57% 244
5.97 IPS
 

Compare

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