Geekbench ML Score

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

Result Information

Upload Date September 28 2024 09:38 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% 196
21.0 IPS
 
Image Classification (F16)
100% 585
62.7 IPS
 
Image Classification (I8)
80% 534
57.2 IPS
 
Image Segmentation (F32)
100% 381
2.35 IPS
 
Image Segmentation (F16)
100% 543
3.35 IPS
 
Image Segmentation (I8)
89% 1478
9.13 IPS
 
Pose Estimation (F32)
100% 250
1.01 IPS
 
Pose Estimation (F16)
100% 566
2.29 IPS
 
Pose Estimation (I8)
80% 330
1.34 IPS
 
Object Detection (F32)
100% 309
10.8 IPS
 
Object Detection (F16)
99% 528
18.5 IPS
 
Object Detection (I8)
53% 340
11.9 IPS
 
Face Detection (F32)
25% 513
5.89 IPS
 
Face Detection (F16)
25% 742
8.53 IPS
 
Face Detection (I8)
75% 722
8.29 IPS
 
Text Classification (F32)
100% 182
72.0 IPS
 
Text Classification (F16)
100% 177
69.8 IPS
 
Machine Translation (F32)
100% 210
32.3 IPS
 
Machine Translation (F16)
100% 209
32.3 IPS
 

Compare

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