Geekbench ML Score

371
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date May 18 2025 05:10 PM
Views 3

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 7.30 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 193
20.6 IPS
 
Image Classification (F16)
100% 547
58.6 IPS
 
Image Classification (I8)
80% 451
48.4 IPS
 
Image Segmentation (F32)
100% 365
2.25 IPS
 
Image Segmentation (F16)
100% 508
3.14 IPS
 
Image Segmentation (I8)
89% 1031
6.37 IPS
 
Pose Estimation (F32)
100% 252
1.02 IPS
 
Pose Estimation (F16)
100% 566
2.29 IPS
 
Pose Estimation (I8)
80% 321
1.30 IPS
 
Object Detection (F32)
100% 299
10.5 IPS
 
Object Detection (F16)
99% 526
18.5 IPS
 
Object Detection (I8)
53% 374
13.1 IPS
 
Face Detection (F32)
25% 533
6.13 IPS
 
Face Detection (F16)
25% 732
8.41 IPS
 
Face Detection (I8)
75% 645
7.40 IPS
 
Text Classification (F32)
100% 161
63.8 IPS
 
Text Classification (F16)
100% 167
65.9 IPS
 
Machine Translation (F32)
100% 205
31.7 IPS
 
Machine Translation (F16)
100% 200
30.8 IPS
 

Compare

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