Geekbench ML Score

226
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date July 04 2025 08:34 PM
Views 2

System Information

System Information
Operating System Android 15
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 7.27 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 129
24.2 IPS
 
Image Classification (F16)
100% 101
18.9 IPS
 
Image Classification (I8)
97% 129
24.1 IPS
 
Image Segmentation (F32)
100% 207
3.46 IPS
 
Image Segmentation (F16)
100% 196
3.28 IPS
 
Image Segmentation (I8)
98% 297
4.96 IPS
 
Pose Estimation (F32)
100% 360
0.44 IPS
 
Pose Estimation (F16)
100% 354
0.43 IPS
 
Pose Estimation (I8)
100% 1424
1.72 IPS
 
Object Detection (F32)
100% 106
7.94 IPS
 
Object Detection (F16)
100% 108
8.04 IPS
 
Object Detection (I8)
61% 181
13.5 IPS
 
Face Detection (F32)
100% 323
3.85 IPS
 
Face Detection (F16)
100% 285
3.39 IPS
 
Face Detection (I8)
86% 469
5.57 IPS
 
Depth Estimation (F32)
100% 280
2.17 IPS
 
Depth Estimation (F16)
100% 290
2.25 IPS
 
Depth Estimation (I8)
95% 530
4.11 IPS
 
Style Transfer (F32)
100% 591
0.78 IPS
 
Style Transfer (F16)
100% 595
0.78 IPS
 
Style Transfer (I8)
98% 1766
2.32 IPS
 
Image Super-Resolution (F32)
100% 191
6.83 IPS
 
Image Super-Resolution (F16)
100% 159
5.68 IPS
 
Image Super-Resolution (I8)
98% 357
12.8 IPS
 
Text Classification (F32)
100% 55
78.4 IPS
 
Text Classification (F16)
100% 51
72.7 IPS
 
Text Classification (I8)
92% 59
84.8 IPS
 
Machine Translation (F32)
100% 155
2.85 IPS
 
Machine Translation (F16)
100% 140
2.57 IPS
 
Machine Translation (I8)
64% 137
2.53 IPS
 

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