Geekbench ML Score

249
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 30 2022 02:52 AM
Views 1

System Information

System Information
Operating System Android 13
Model samsung SM-A236B
Model IDsamsung SM-A236B
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% 178
19.1 IPS
 
Image Classification (F16)
100% 170
18.2 IPS
 
Image Classification (I8)
81% 201
21.6 IPS
 
Image Segmentation (F32)
100% 377
2.33 IPS
 
Image Segmentation (F16)
100% 381
2.36 IPS
 
Image Segmentation (I8)
89% 379
2.34 IPS
 
Pose Estimation (F32)
100% 129
0.52 IPS
 
Pose Estimation (F16)
100% 129
0.52 IPS
 
Pose Estimation (I8)
80% 61
0.24 IPS
 
Object Detection (F32)
100% 230
8.05 IPS
 
Object Detection (F16)
100% 238
8.35 IPS
 
Object Detection (I8)
52% 247
8.66 IPS
 
Face Detection (F32)
100% 317
3.65 IPS
 
Face Detection (F16)
100% 320
3.68 IPS
 
Face Detection (I8)
75% 299
3.44 IPS
 
Text Classification (F32)
100% 477
188.7 IPS
 
Text Classification (F16)
100% 478
189.0 IPS
 
Machine Translation (F32)
100% 334
51.5 IPS
 
Machine Translation (F16)
100% 339
52.3 IPS
 

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