Geekbench ML Score

612
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date June 04 2023 01:32 AM
Views 3

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 6.91 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 539
57.8 IPS
 
Image Classification (F16)
100% 517
55.4 IPS
 
Image Classification (I8)
81% 486
52.1 IPS
 
Image Segmentation (F32)
100% 803
4.96 IPS
 
Image Segmentation (F16)
100% 771
4.76 IPS
 
Image Segmentation (I8)
89% 891
5.50 IPS
 
Pose Estimation (F32)
100% 278
1.13 IPS
 
Pose Estimation (F16)
100% 279
1.13 IPS
 
Pose Estimation (I8)
80% 146
0.59 IPS
 
Object Detection (F32)
100% 572
20.1 IPS
 
Object Detection (F16)
100% 536
18.8 IPS
 
Object Detection (I8)
52% 538
18.9 IPS
 
Face Detection (F32)
100% 791
9.08 IPS
 
Face Detection (F16)
100% 732
8.41 IPS
 
Face Detection (I8)
75% 669
7.69 IPS
 
Text Classification (F32)
100% 1218
481.6 IPS
 
Text Classification (F16)
100% 1246
492.7 IPS
 
Machine Translation (F32)
100% 1026
158.1 IPS
 
Machine Translation (F16)
100% 1085
167.3 IPS
 

Compare

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