Geekbench ML Score

317
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date December 23 2022 10:39 PM
Views 2

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 CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 235
25.2 IPS
 
Image Classification (F16)
100% 256
27.5 IPS
 
Image Classification (I8)
81% 171
18.3 IPS
 
Image Segmentation (F32)
100% 399
2.46 IPS
 
Image Segmentation (F16)
100% 412
2.54 IPS
 
Image Segmentation (I8)
89% 586
3.62 IPS
 
Pose Estimation (F32)
100% 211
0.85 IPS
 
Pose Estimation (F16)
100% 210
0.85 IPS
 
Pose Estimation (I8)
80% 147
0.60 IPS
 
Object Detection (F32)
100% 388
13.6 IPS
 
Object Detection (F16)
100% 315
11.1 IPS
 
Object Detection (I8)
52% 217
7.63 IPS
 
Face Detection (F32)
100% 419
4.82 IPS
 
Face Detection (F16)
100% 539
6.19 IPS
 
Face Detection (I8)
75% 353
4.05 IPS
 
Text Classification (F32)
100% 276
109.2 IPS
 
Text Classification (F16)
100% 282
111.5 IPS
 
Machine Translation (F32)
100% 566
87.3 IPS
 
Machine Translation (F16)
100% 566
87.3 IPS
 

Compare

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