Geekbench ML Score

250
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

User Mansur892
Upload Date December 08 2022 08:27 AM
Views 1

System Information

System Information
Operating System Android 13
Model samsung SM-A236E
Model IDsamsung SM-A236E
Motherboard holi
Governorschedutil
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 1.80 GHz
Cluster 16 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.21 GHz
Memory Information
Size 3.38 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 185
19.8 IPS
 
Image Classification (F16)
100% 174
18.6 IPS
 
Image Classification (I8)
81% 201
21.5 IPS
 
Image Segmentation (F32)
100% 380
2.35 IPS
 
Image Segmentation (F16)
100% 379
2.34 IPS
 
Image Segmentation (I8)
89% 379
2.34 IPS
 
Pose Estimation (F32)
100% 129
0.52 IPS
 
Pose Estimation (F16)
100% 132
0.53 IPS
 
Pose Estimation (I8)
80% 61
0.24 IPS
 
Object Detection (F32)
100% 242
8.50 IPS
 
Object Detection (F16)
100% 235
8.24 IPS
 
Object Detection (I8)
52% 247
8.68 IPS
 
Face Detection (F32)
100% 326
3.74 IPS
 
Face Detection (F16)
100% 318
3.66 IPS
 
Face Detection (I8)
75% 299
3.43 IPS
 
Text Classification (F32)
100% 473
187.0 IPS
 
Text Classification (F16)
100% 470
185.8 IPS
 
Machine Translation (F32)
100% 329
50.7 IPS
 
Machine Translation (F16)
100% 327
50.4 IPS
 

Compare

Set Baseline