Geekbench ML Score

219
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date March 05 2025 02:45 PM
Views 5

System Information

System Information
Operating System Android 15
Model samsung SM-X216B
Model IDsamsung SM-X216B
Motherboard holi
Governorschedutil
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 1.80 GHz
Cluster 16 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.21 GHz
Memory Information
Size 3.29 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 146
15.6 IPS
 
Image Classification (F16)
100% 134
14.3 IPS
 
Image Classification (I8)
81% 199
21.3 IPS
 
Image Segmentation (F32)
100% 335
2.07 IPS
 
Image Segmentation (F16)
100% 325
2.01 IPS
 
Image Segmentation (I8)
89% 378
2.33 IPS
 
Pose Estimation (F32)
100% 97
0.39 IPS
 
Pose Estimation (F16)
100% 96
0.39 IPS
 
Pose Estimation (I8)
80% 60
0.24 IPS
 
Object Detection (F32)
100% 180
6.31 IPS
 
Object Detection (F16)
100% 178
6.24 IPS
 
Object Detection (I8)
52% 244
8.58 IPS
 
Face Detection (F32)
100% 275
3.16 IPS
 
Face Detection (F16)
100% 260
2.99 IPS
 
Face Detection (I8)
75% 295
3.39 IPS
 
Text Classification (F32)
100% 473
187.0 IPS
 
Text Classification (F16)
100% 474
187.3 IPS
 
Machine Translation (F32)
100% 298
46.0 IPS
 
Machine Translation (F16)
100% 307
47.4 IPS
 

Compare

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