Geekbench ML Score

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

Result Information

Upload Date March 13 2025 11:49 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% 136
14.5 IPS
 
Image Classification (F16)
100% 126
13.5 IPS
 
Image Classification (I8)
81% 200
21.4 IPS
 
Image Segmentation (F32)
100% 320
1.98 IPS
 
Image Segmentation (F16)
100% 312
1.93 IPS
 
Image Segmentation (I8)
89% 375
2.31 IPS
 
Pose Estimation (F32)
100% 93
0.38 IPS
 
Pose Estimation (F16)
100% 85
0.34 IPS
 
Pose Estimation (I8)
80% 60
0.24 IPS
 
Object Detection (F32)
100% 171
6.01 IPS
 
Object Detection (F16)
100% 172
6.05 IPS
 
Object Detection (I8)
52% 245
8.61 IPS
 
Face Detection (F32)
100% 254
2.92 IPS
 
Face Detection (F16)
100% 253
2.90 IPS
 
Face Detection (I8)
75% 295
3.39 IPS
 
Text Classification (F32)
100% 438
173.0 IPS
 
Text Classification (F16)
100% 472
186.8 IPS
 
Machine Translation (F32)
100% 308
47.4 IPS
 
Machine Translation (F16)
100% 301
46.4 IPS
 

Compare

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