Geekbench ML Score

216
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date March 05 2025 02:06 PM
Views 7

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% 145
15.5 IPS
 
Image Classification (F16)
100% 135
14.5 IPS
 
Image Classification (I8)
81% 199
21.4 IPS
 
Image Segmentation (F32)
100% 320
1.98 IPS
 
Image Segmentation (F16)
100% 335
2.07 IPS
 
Image Segmentation (I8)
89% 378
2.33 IPS
 
Pose Estimation (F32)
100% 98
0.40 IPS
 
Pose Estimation (F16)
100% 91
0.37 IPS
 
Pose Estimation (I8)
80% 60
0.24 IPS
 
Object Detection (F32)
100% 174
6.12 IPS
 
Object Detection (F16)
100% 169
5.92 IPS
 
Object Detection (I8)
52% 244
8.58 IPS
 
Face Detection (F32)
100% 257
2.95 IPS
 
Face Detection (F16)
100% 260
2.99 IPS
 
Face Detection (I8)
75% 295
3.39 IPS
 
Text Classification (F32)
100% 474
187.4 IPS
 
Text Classification (F16)
100% 472
186.6 IPS
 
Machine Translation (F32)
100% 299
46.1 IPS
 
Machine Translation (F16)
100% 301
46.4 IPS
 

Compare

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