Geekbench ML Score

431
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 18 2022 08:46 PM
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System Information

System Information
Operating System Android 12
Model samsung SM-S908B
Model IDsamsung SM-S908B
Motherboard s5e9925
Governorenergy_aware
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 2 part 3400 revision 0
Base Frequency 1.82 GHz
Cluster 14 Cores @ 1.82 GHz
Cluster 23 Cores @ 2.52 GHz
Cluster 31 Core @ 2.80 GHz
Memory Information
Size 10.27 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 283
30.4 IPS
 
Image Classification (F16)
100% 141
15.1 IPS
 
Image Classification (I8)
81% 450
48.3 IPS
 
Image Segmentation (F32)
100% 547
3.38 IPS
 
Image Segmentation (F16)
100% 572
3.53 IPS
 
Image Segmentation (I8)
89% 822
5.08 IPS
 
Pose Estimation (F32)
100% 314
1.27 IPS
 
Pose Estimation (F16)
100% 298
1.20 IPS
 
Pose Estimation (I8)
80% 144
0.58 IPS
 
Object Detection (F32)
100% 186
6.53 IPS
 
Object Detection (F16)
100% 172
6.05 IPS
 
Object Detection (I8)
52% 502
17.6 IPS
 
Face Detection (F32)
100% 371
4.26 IPS
 
Face Detection (F16)
100% 377
4.33 IPS
 
Face Detection (I8)
75% 614
7.05 IPS
 
Text Classification (F32)
100% 1162
459.5 IPS
 
Text Classification (F16)
100% 1162
459.7 IPS
 
Machine Translation (F32)
100% 997
153.6 IPS
 
Machine Translation (F16)
100% 996
153.5 IPS
 

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