Geekbench ML Score

386
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 07 2024 01:50 AM
Views 2

System Information

System Information
Operating System Android 14
Model samsung SM-A166P
Model IDsamsung SM-A166P
Motherboard a16xm
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 4 part 3339 revision 0
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.40 GHz
Memory Information
Size 3.36 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 202
21.7 IPS
 
Image Classification (F16)
100% 593
63.5 IPS
 
Image Classification (I8)
80% 637
68.2 IPS
 
Image Segmentation (F32)
100% 380
2.35 IPS
 
Image Segmentation (F16)
100% 535
3.31 IPS
 
Image Segmentation (I8)
89% 1144
7.07 IPS
 
Pose Estimation (F32)
100% 252
1.02 IPS
 
Pose Estimation (F16)
100% 568
2.30 IPS
 
Pose Estimation (I8)
80% 290
1.17 IPS
 
Object Detection (F32)
100% 307
10.8 IPS
 
Object Detection (F16)
99% 531
18.7 IPS
 
Object Detection (I8)
53% 388
13.6 IPS
 
Face Detection (F32)
25% 523
6.01 IPS
 
Face Detection (F16)
25% 740
8.50 IPS
 
Face Detection (I8)
75% 509
5.84 IPS
 
Text Classification (F32)
100% 196
77.6 IPS
 
Text Classification (F16)
100% 198
78.2 IPS
 
Machine Translation (F32)
100% 195
30.1 IPS
 
Machine Translation (F16)
100% 205
31.6 IPS
 

Compare

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