Geekbench ML Score

362
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date February 12 2025 12:32 AM
Views 3

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 NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 198
21.3 IPS
 
Image Classification (F16)
100% 582
62.4 IPS
 
Image Classification (I8)
80% 860
92.1 IPS
 
Image Segmentation (F32)
100% 378
2.33 IPS
 
Image Segmentation (F16)
100% 493
3.05 IPS
 
Image Segmentation (I8)
89% 783
4.84 IPS
 
Pose Estimation (F32)
100% 249
1.01 IPS
 
Pose Estimation (F16)
100% 563
2.28 IPS
 
Pose Estimation (I8)
80% 320
1.29 IPS
 
Object Detection (F32)
100% 306
10.7 IPS
 
Object Detection (F16)
99% 491
17.2 IPS
 
Object Detection (I8)
53% 385
13.5 IPS
 
Face Detection (F32)
25% 532
6.11 IPS
 
Face Detection (F16)
25% 749
8.60 IPS
 
Face Detection (I8)
75% 466
5.36 IPS
 
Text Classification (F32)
100% 138
54.6 IPS
 
Text Classification (F16)
100% 126
49.8 IPS
 
Machine Translation (F32)
100% 191
29.4 IPS
 
Machine Translation (F16)
100% 186
28.7 IPS
 

Compare

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