Geekbench ML Score

400
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 28 2024 08:50 PM
Views 1

System Information

System Information
Operating System Android 14
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% 197
21.1 IPS
 
Image Classification (F16)
100% 582
62.3 IPS
 
Image Classification (I8)
80% 899
96.4 IPS
 
Image Segmentation (F32)
100% 382
2.36 IPS
 
Image Segmentation (F16)
100% 539
3.33 IPS
 
Image Segmentation (I8)
89% 1107
6.83 IPS
 
Pose Estimation (F32)
100% 251
1.02 IPS
 
Pose Estimation (F16)
100% 564
2.28 IPS
 
Pose Estimation (I8)
80% 343
1.39 IPS
 
Object Detection (F32)
100% 306
10.8 IPS
 
Object Detection (F16)
99% 537
18.9 IPS
 
Object Detection (I8)
53% 389
13.6 IPS
 
Face Detection (F32)
25% 527
6.05 IPS
 
Face Detection (F16)
25% 747
8.58 IPS
 
Face Detection (I8)
75% 689
7.92 IPS
 
Text Classification (F32)
100% 182
72.1 IPS
 
Text Classification (F16)
100% 177
69.9 IPS
 
Machine Translation (F32)
100% 209
32.3 IPS
 
Machine Translation (F16)
100% 213
32.8 IPS
 

Compare

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