Geekbench ML Score

359
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date May 17 2025 03:00 PM
Views 5

System Information

System Information
Operating System Android 15
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 5.34 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 200
21.4 IPS
 
Image Classification (F16)
100% 534
57.2 IPS
 
Image Classification (I8)
80% 374
40.1 IPS
 
Image Segmentation (F32)
100% 389
2.40 IPS
 
Image Segmentation (F16)
100% 502
3.10 IPS
 
Image Segmentation (I8)
89% 791
4.89 IPS
 
Pose Estimation (F32)
100% 242
0.98 IPS
 
Pose Estimation (F16)
100% 545
2.21 IPS
 
Pose Estimation (I8)
80% 315
1.28 IPS
 
Object Detection (F32)
100% 284
9.96 IPS
 
Object Detection (F16)
99% 538
18.9 IPS
 
Object Detection (I8)
53% 400
14.0 IPS
 
Face Detection (F32)
25% 531
6.10 IPS
 
Face Detection (F16)
25% 690
7.93 IPS
 
Face Detection (I8)
75% 751
8.63 IPS
 
Text Classification (F32)
100% 129
51.0 IPS
 
Text Classification (F16)
100% 178
70.6 IPS
 
Machine Translation (F32)
100% 177
27.2 IPS
 
Machine Translation (F16)
100% 202
31.2 IPS
 

Compare

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