Geekbench ML Score

403
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date July 26 2022 08:57 AM
Views 2

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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 137
14.6 IPS
 
Image Classification (F16)
100% 97
10.4 IPS
 
Image Classification (I8)
81% 450
48.2 IPS
 
Image Segmentation (F32)
100% 543
3.35 IPS
 
Image Segmentation (F16)
100% 533
3.29 IPS
 
Image Segmentation (I8)
89% 819
5.06 IPS
 
Pose Estimation (F32)
100% 315
1.28 IPS
 
Pose Estimation (F16)
100% 295
1.19 IPS
 
Pose Estimation (I8)
80% 139
0.56 IPS
 
Object Detection (F32)
100% 185
6.51 IPS
 
Object Detection (F16)
100% 185
6.48 IPS
 
Object Detection (I8)
52% 503
17.7 IPS
 
Face Detection (F32)
100% 371
4.26 IPS
 
Face Detection (F16)
100% 382
4.39 IPS
 
Face Detection (I8)
75% 608
6.99 IPS
 
Text Classification (F32)
100% 1132
447.5 IPS
 
Text Classification (F16)
100% 1135
448.8 IPS
 
Machine Translation (F32)
100% 960
148.0 IPS
 
Machine Translation (F16)
100% 971
149.6 IPS
 

Compare

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