Geekbench AI Score

152
Single Precision Score
154
Half Precision Score
160
Quantized Score
Geekbench AI 1.1.0 for Android AArch64

Result Information

Upload Date November 22 2024 02:47 AM
Views 6

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM MT6765V/CB
System Information
Operating System Android 14
Model samsung SM-A042F
Model IDsamsung SM-A042F
Motherboard a04e
CPU Information
Name ARM MT6765V/CB
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 0 part 3331 revision 4
Base Frequency 2.30 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 24 Cores @ 2.30 GHz
Memory Information
Size 2.71 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 55
10.2 IPS
 
Image Classification (HP)
100% 72
13.4 IPS
 
Image Classification (Q)
100% 90
16.8 IPS
 
Image Segmentation (SP)
100% 92
1.49 IPS
 
Image Segmentation (HP)
100% 99
1.60 IPS
 
Image Segmentation (Q)
98% 179
2.91 IPS
 
Pose Estimation (SP)
100% 421
0.49 IPS
 
Pose Estimation (HP)
100% 372
0.43 IPS
 
Pose Estimation (Q)
84% 251
0.30 IPS
 
Object Detection (SP)
100% 74
5.90 IPS
 
Object Detection (HP)
100% 77
6.13 IPS
 
Object Detection (Q)
83% 113
9.16 IPS
 
Face Detection (SP)
100% 213
2.53 IPS
 
Face Detection (HP)
100% 207
2.45 IPS
 
Face Detection (Q)
95% 307
3.66 IPS
 
Depth Estimation (SP)
100% 278
2.14 IPS
 
Depth Estimation (HP)
99% 264
2.04 IPS
 
Depth Estimation (Q)
64% 239
2.19 IPS
 
Style Transfer (SP)
89% 671
0.87 IPS
 
Style Transfer (HP)
89% 660
0.86 IPS
 
Style Transfer (Q)
98% 608
0.78 IPS
 
Image Super-Resolution (SP)
100% 123
4.53 IPS
 
Image Super-Resolution (HP)
100% 124
4.58 IPS
 
Image Super-Resolution (Q)
97% 134
4.95 IPS
 
Text Classification (SP)
100% 77
102.4 IPS
 
Text Classification (HP)
100% 76
100.8 IPS
 
Text Classification (Q)
88% 82
110.2 IPS
 
Machine Translation (SP)
100% 112
1.93 IPS
 
Machine Translation (HP)
100% 112
1.92 IPS
 
Machine Translation (Q)
50% 52
1.85 IPS
 

Compare

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