Geekbench ML Score

414
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 31 2024 11:31 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 3.36 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 200
21.5 IPS
 
Image Classification (F16)
100% 595
63.8 IPS
 
Image Classification (I8)
80% 664
71.2 IPS
 
Image Segmentation (F32)
100% 387
2.39 IPS
 
Image Segmentation (F16)
100% 547
3.38 IPS
 
Image Segmentation (I8)
89% 1410
8.71 IPS
 
Pose Estimation (F32)
100% 252
1.02 IPS
 
Pose Estimation (F16)
100% 567
2.29 IPS
 
Pose Estimation (I8)
80% 377
1.53 IPS
 
Object Detection (F32)
100% 309
10.8 IPS
 
Object Detection (F16)
99% 541
19.0 IPS
 
Object Detection (I8)
53% 449
15.7 IPS
 
Face Detection (F32)
25% 523
6.01 IPS
 
Face Detection (F16)
25% 752
8.64 IPS
 
Face Detection (I8)
75% 841
9.66 IPS
 
Text Classification (F32)
100% 207
81.8 IPS
 
Text Classification (F16)
100% 209
82.7 IPS
 
Machine Translation (F32)
100% 200
30.8 IPS
 
Machine Translation (F16)
100% 200
30.8 IPS
 

Compare

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