Geekbench ML Score

392
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date April 21 2025 05:46 AM
Views 5

System Information

System Information
Operating System Android 15
Model samsung SM-M166P
Model IDsamsung SM-M166P
Motherboard m16xm
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% 198
21.3 IPS
 
Image Classification (F16)
100% 585
62.7 IPS
 
Image Classification (I8)
80% 534
57.3 IPS
 
Image Segmentation (F32)
100% 375
2.31 IPS
 
Image Segmentation (F16)
100% 524
3.24 IPS
 
Image Segmentation (I8)
89% 1057
6.53 IPS
 
Pose Estimation (F32)
100% 251
1.02 IPS
 
Pose Estimation (F16)
100% 565
2.29 IPS
 
Pose Estimation (I8)
80% 348
1.41 IPS
 
Object Detection (F32)
100% 303
10.6 IPS
 
Object Detection (F16)
99% 522
18.3 IPS
 
Object Detection (I8)
53% 384
13.5 IPS
 
Face Detection (F32)
25% 523
6.01 IPS
 
Face Detection (F16)
25% 742
8.53 IPS
 
Face Detection (I8)
75% 684
7.86 IPS
 
Text Classification (F32)
100% 182
71.8 IPS
 
Text Classification (F16)
100% 244
96.6 IPS
 
Machine Translation (F32)
100% 204
31.4 IPS
 
Machine Translation (F16)
100% 204
31.4 IPS
 

Compare

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