Geekbench ML Score

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

Result Information

Upload Date December 05 2024 09:19 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 3.35 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 202
21.7 IPS
 
Image Classification (F16)
100% 596
63.9 IPS
 
Image Classification (I8)
80% 658
70.5 IPS
 
Image Segmentation (F32)
100% 386
2.39 IPS
 
Image Segmentation (F16)
100% 547
3.38 IPS
 
Image Segmentation (I8)
89% 1175
7.26 IPS
 
Pose Estimation (F32)
100% 253
1.03 IPS
 
Pose Estimation (F16)
100% 569
2.30 IPS
 
Pose Estimation (I8)
80% 383
1.55 IPS
 
Object Detection (F32)
100% 311
10.9 IPS
 
Object Detection (F16)
99% 542
19.0 IPS
 
Object Detection (I8)
53% 448
15.7 IPS
 
Face Detection (F32)
25% 549
6.30 IPS
 
Face Detection (F16)
25% 755
8.68 IPS
 
Face Detection (I8)
75% 772
8.87 IPS
 
Text Classification (F32)
100% 209
82.6 IPS
 
Text Classification (F16)
100% 220
87.1 IPS
 
Machine Translation (F32)
100% 214
33.0 IPS
 
Machine Translation (F16)
100% 214
33.0 IPS
 

Compare

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