Geekbench ML Score

649
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date May 19 2023 11:08 PM
Views 4

System Information

System Information
Operating System Android 13
Model samsung SM-S918U
Model IDsamsung SM-S918U
Motherboard kalama
Governorwalt
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3406 revision 0
Base Frequency 2.02 GHz
Cluster 13 Cores @ 2.02 GHz
Cluster 24 Cores @ 2.80 GHz
Cluster 31 Core @ 3.36 GHz
Memory Information
Size 10.80 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 562
60.3 IPS
 
Image Classification (F16)
100% 564
60.4 IPS
 
Image Classification (I8)
81% 502
53.7 IPS
 
Image Segmentation (F32)
100% 845
5.22 IPS
 
Image Segmentation (F16)
100% 841
5.20 IPS
 
Image Segmentation (I8)
89% 899
5.55 IPS
 
Pose Estimation (F32)
100% 317
1.28 IPS
 
Pose Estimation (F16)
100% 308
1.25 IPS
 
Pose Estimation (I8)
80% 149
0.60 IPS
 
Object Detection (F32)
100% 629
22.1 IPS
 
Object Detection (F16)
100% 609
21.4 IPS
 
Object Detection (I8)
52% 573
20.1 IPS
 
Face Detection (F32)
100% 820
9.42 IPS
 
Face Detection (F16)
100% 824
9.46 IPS
 
Face Detection (I8)
75% 676
7.77 IPS
 
Text Classification (F32)
100% 1210
478.7 IPS
 
Text Classification (F16)
100% 1236
488.7 IPS
 
Machine Translation (F32)
100% 1104
170.2 IPS
 
Machine Translation (F16)
100% 1108
170.8 IPS
 

Compare

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