Geekbench ML Score

645
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

User mrcrunch08
Upload Date April 23 2023 06:04 PM
Views 2

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% 558
59.8 IPS
 
Image Classification (F16)
100% 558
59.8 IPS
 
Image Classification (I8)
81% 510
54.6 IPS
 
Image Segmentation (F32)
100% 839
5.18 IPS
 
Image Segmentation (F16)
100% 840
5.19 IPS
 
Image Segmentation (I8)
89% 906
5.59 IPS
 
Pose Estimation (F32)
100% 314
1.27 IPS
 
Pose Estimation (F16)
100% 309
1.25 IPS
 
Pose Estimation (I8)
80% 148
0.60 IPS
 
Object Detection (F32)
100% 610
21.4 IPS
 
Object Detection (F16)
100% 604
21.2 IPS
 
Object Detection (I8)
52% 576
20.2 IPS
 
Face Detection (F32)
100% 820
9.42 IPS
 
Face Detection (F16)
100% 815
9.36 IPS
 
Face Detection (I8)
75% 675
7.75 IPS
 
Text Classification (F32)
100% 1189
470.1 IPS
 
Text Classification (F16)
100% 1219
482.1 IPS
 
Machine Translation (F32)
100% 1106
170.4 IPS
 
Machine Translation (F16)
100% 1096
168.9 IPS
 

Compare

Set Baseline Geekbench 6 now available