Geekbench ML Score

433
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date October 14 2022 12:03 PM
Views 3

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 CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 355
38.0 IPS
 
Image Classification (F16)
100% 353
37.8 IPS
 
Image Classification (I8)
81% 174
18.6 IPS
 
Image Segmentation (F32)
100% 635
3.92 IPS
 
Image Segmentation (F16)
100% 642
3.97 IPS
 
Image Segmentation (I8)
89% 727
4.49 IPS
 
Pose Estimation (F32)
100% 319
1.29 IPS
 
Pose Estimation (F16)
100% 313
1.26 IPS
 
Pose Estimation (I8)
80% 234
0.95 IPS
 
Object Detection (F32)
100% 434
15.2 IPS
 
Object Detection (F16)
100% 434
15.2 IPS
 
Object Detection (I8)
52% 249
8.74 IPS
 
Face Detection (F32)
100% 681
7.82 IPS
 
Face Detection (F16)
100% 678
7.79 IPS
 
Face Detection (I8)
75% 473
5.43 IPS
 
Text Classification (F32)
100% 289
114.2 IPS
 
Text Classification (F16)
100% 290
114.8 IPS
 
Machine Translation (F32)
100% 1000
154.1 IPS
 
Machine Translation (F16)
100% 996
153.5 IPS
 

Compare

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