Geekbench ML Score

351
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date December 23 2022 10:43 PM
Views 1

System Information

System Information
Operating System Android 13
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% 313
33.5 IPS
 
Image Classification (F16)
100% 286
30.6 IPS
 
Image Classification (I8)
81% 242
26.0 IPS
 
Image Segmentation (F32)
100% 383
2.36 IPS
 
Image Segmentation (F16)
100% 475
2.93 IPS
 
Image Segmentation (I8)
89% 451
2.78 IPS
 
Pose Estimation (F32)
100% 185
0.75 IPS
 
Pose Estimation (F16)
100% 190
0.77 IPS
 
Pose Estimation (I8)
80% 80
0.32 IPS
 
Object Detection (F32)
100% 321
11.3 IPS
 
Object Detection (F16)
100% 354
12.4 IPS
 
Object Detection (I8)
52% 277
9.70 IPS
 
Face Detection (F32)
100% 307
3.53 IPS
 
Face Detection (F16)
100% 368
4.23 IPS
 
Face Detection (I8)
75% 423
4.86 IPS
 
Text Classification (F32)
100% 795
314.5 IPS
 
Text Classification (F16)
100% 796
314.7 IPS
 
Machine Translation (F32)
100% 700
107.8 IPS
 
Machine Translation (F16)
100% 704
108.4 IPS
 

Compare

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