Geekbench ML Score

393
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 28 2024 08:48 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% 198
21.2 IPS
 
Image Classification (F16)
100% 586
62.7 IPS
 
Image Classification (I8)
80% 639
68.5 IPS
 
Image Segmentation (F32)
100% 387
2.39 IPS
 
Image Segmentation (F16)
100% 546
3.37 IPS
 
Image Segmentation (I8)
89% 1104
6.82 IPS
 
Pose Estimation (F32)
100% 251
1.01 IPS
 
Pose Estimation (F16)
100% 568
2.30 IPS
 
Pose Estimation (I8)
80% 344
1.39 IPS
 
Object Detection (F32)
100% 306
10.7 IPS
 
Object Detection (F16)
99% 535
18.8 IPS
 
Object Detection (I8)
53% 398
14.0 IPS
 
Face Detection (F32)
25% 527
6.06 IPS
 
Face Detection (F16)
25% 751
8.63 IPS
 
Face Detection (I8)
75% 693
7.96 IPS
 
Text Classification (F32)
100% 186
73.7 IPS
 
Text Classification (F16)
100% 175
69.2 IPS
 
Machine Translation (F32)
100% 202
31.1 IPS
 
Machine Translation (F16)
100% 205
31.6 IPS
 

Compare

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