Geekbench ML Score

358
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date December 16 2022 09:14 PM
Views 3

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% 292
31.3 IPS
 
Image Classification (F16)
100% 269
28.8 IPS
 
Image Classification (I8)
81% 160
17.1 IPS
 
Image Segmentation (F32)
100% 506
3.13 IPS
 
Image Segmentation (F16)
100% 502
3.10 IPS
 
Image Segmentation (I8)
89% 652
4.03 IPS
 
Pose Estimation (F32)
100% 232
0.94 IPS
 
Pose Estimation (F16)
100% 232
0.94 IPS
 
Pose Estimation (I8)
80% 180
0.73 IPS
 
Object Detection (F32)
100% 325
11.4 IPS
 
Object Detection (F16)
100% 325
11.4 IPS
 
Object Detection (I8)
52% 240
8.42 IPS
 
Face Detection (F32)
100% 528
6.07 IPS
 
Face Detection (F16)
100% 532
6.12 IPS
 
Face Detection (I8)
75% 400
4.59 IPS
 
Text Classification (F32)
100% 402
159.0 IPS
 
Text Classification (F16)
100% 409
161.6 IPS
 
Machine Translation (F32)
100% 607
93.5 IPS
 
Machine Translation (F16)
100% 605
93.3 IPS
 

Compare

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