Geekbench ML Score

392
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 28 2024 08:52 PM
Views 1

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 3.38 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 197
21.1 IPS
 
Image Classification (F16)
100% 571
61.2 IPS
 
Image Classification (I8)
80% 534
57.2 IPS
 
Image Segmentation (F32)
100% 388
2.40 IPS
 
Image Segmentation (F16)
100% 541
3.34 IPS
 
Image Segmentation (I8)
89% 1091
6.74 IPS
 
Pose Estimation (F32)
100% 252
1.02 IPS
 
Pose Estimation (F16)
100% 566
2.29 IPS
 
Pose Estimation (I8)
80% 429
1.73 IPS
 
Object Detection (F32)
100% 308
10.8 IPS
 
Object Detection (F16)
99% 528
18.5 IPS
 
Object Detection (I8)
53% 395
13.9 IPS
 
Face Detection (F32)
25% 522
6.00 IPS
 
Face Detection (F16)
25% 744
8.54 IPS
 
Face Detection (I8)
75% 668
7.67 IPS
 
Text Classification (F32)
100% 181
71.8 IPS
 
Text Classification (F16)
100% 176
69.5 IPS
 
Machine Translation (F32)
100% 211
32.6 IPS
 
Machine Translation (F16)
100% 205
31.6 IPS
 

Compare

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