Geekbench ML Score

212
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date March 13 2025 10:08 AM
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% 147
15.7 IPS
 
Image Classification (F16)
100% 123
13.2 IPS
 
Image Classification (I8)
81% 199
21.3 IPS
 
Image Segmentation (F32)
100% 289
1.79 IPS
 
Image Segmentation (F16)
100% 293
1.81 IPS
 
Image Segmentation (I8)
89% 377
2.33 IPS
 
Pose Estimation (F32)
100% 103
0.42 IPS
 
Pose Estimation (F16)
100% 88
0.36 IPS
 
Pose Estimation (I8)
80% 60
0.24 IPS
 
Object Detection (F32)
100% 165
5.78 IPS
 
Object Detection (F16)
100% 206
7.24 IPS
 
Object Detection (I8)
52% 243
8.54 IPS
 
Face Detection (F32)
100% 242
2.78 IPS
 
Face Detection (F16)
100% 242
2.78 IPS
 
Face Detection (I8)
75% 294
3.38 IPS
 
Text Classification (F32)
100% 472
186.6 IPS
 
Text Classification (F16)
100% 469
185.6 IPS
 
Machine Translation (F32)
100% 284
43.7 IPS
 
Machine Translation (F16)
100% 299
46.2 IPS
 

Compare

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