Geekbench ML Score

495
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date December 24 2022 12:19 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% 372
39.8 IPS
 
Image Classification (F16)
100% 376
40.2 IPS
 
Image Classification (I8)
81% 450
48.2 IPS
 
Image Segmentation (F32)
100% 595
3.67 IPS
 
Image Segmentation (F16)
100% 603
3.73 IPS
 
Image Segmentation (I8)
89% 821
5.07 IPS
 
Pose Estimation (F32)
100% 302
1.22 IPS
 
Pose Estimation (F16)
100% 285
1.15 IPS
 
Pose Estimation (I8)
80% 141
0.57 IPS
 
Object Detection (F32)
100% 257
9.02 IPS
 
Object Detection (F16)
100% 259
9.09 IPS
 
Object Detection (I8)
52% 501
17.6 IPS
 
Face Detection (F32)
100% 545
6.26 IPS
 
Face Detection (F16)
100% 500
5.74 IPS
 
Face Detection (I8)
75% 613
7.05 IPS
 
Text Classification (F32)
100% 1147
453.6 IPS
 
Text Classification (F16)
100% 1149
454.6 IPS
 
Machine Translation (F32)
100% 988
152.2 IPS
 
Machine Translation (F16)
100% 989
152.4 IPS
 

Compare

Set Baseline Geekbench 6 now available