Geekbench ML Score

391
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date January 24 2025 07:12 PM
Views 4

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 3.38 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 203
21.7 IPS
 
Image Classification (F16)
100% 582
62.4 IPS
 
Image Classification (I8)
80% 556
59.5 IPS
 
Image Segmentation (F32)
100% 383
2.37 IPS
 
Image Segmentation (F16)
100% 535
3.31 IPS
 
Image Segmentation (I8)
89% 1104
6.82 IPS
 
Pose Estimation (F32)
100% 252
1.02 IPS
 
Pose Estimation (F16)
100% 566
2.29 IPS
 
Pose Estimation (I8)
80% 334
1.35 IPS
 
Object Detection (F32)
100% 307
10.8 IPS
 
Object Detection (F16)
99% 530
18.6 IPS
 
Object Detection (I8)
53% 398
14.0 IPS
 
Face Detection (F32)
25% 524
6.02 IPS
 
Face Detection (F16)
25% 769
8.83 IPS
 
Face Detection (I8)
75% 688
7.91 IPS
 
Text Classification (F32)
100% 182
72.1 IPS
 
Text Classification (F16)
100% 175
69.2 IPS
 
Machine Translation (F32)
100% 211
32.6 IPS
 
Machine Translation (F16)
100% 213
32.9 IPS
 

Compare

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