Geekbench ML Score

389
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 28 2024 08:53 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% 195
20.9 IPS
 
Image Classification (F16)
100% 608
65.1 IPS
 
Image Classification (I8)
80% 541
57.9 IPS
 
Image Segmentation (F32)
100% 375
2.31 IPS
 
Image Segmentation (F16)
100% 530
3.28 IPS
 
Image Segmentation (I8)
89% 1027
6.34 IPS
 
Pose Estimation (F32)
100% 250
1.01 IPS
 
Pose Estimation (F16)
100% 565
2.29 IPS
 
Pose Estimation (I8)
80% 322
1.30 IPS
 
Object Detection (F32)
100% 308
10.8 IPS
 
Object Detection (F16)
99% 550
19.3 IPS
 
Object Detection (I8)
53% 388
13.6 IPS
 
Face Detection (F32)
25% 524
6.02 IPS
 
Face Detection (F16)
25% 749
8.60 IPS
 
Face Detection (I8)
75% 764
8.78 IPS
 
Text Classification (F32)
100% 184
72.8 IPS
 
Text Classification (F16)
100% 173
68.5 IPS
 
Machine Translation (F32)
100% 206
31.8 IPS
 
Machine Translation (F16)
100% 213
32.9 IPS
 

Compare

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