Geekbench ML Score

351
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date June 07 2025 02:59 AM
Views 3

System Information

System Information
Operating System Android 15
Model samsung SM-A146U
Model IDsamsung SM-A146U
Motherboard a14xm
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 @ 2.20 GHz
Memory Information
Size 3.51 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 358
38.4 IPS
 
Image Classification (F16)
100% 532
56.9 IPS
 
Image Classification (I8)
80% 171
18.3 IPS
 
Image Segmentation (F32)
100% 376
2.33 IPS
 
Image Segmentation (F16)
100% 383
2.36 IPS
 
Image Segmentation (I8)
89% 825
5.10 IPS
 
Pose Estimation (F32)
100% 372
1.51 IPS
 
Pose Estimation (F16)
100% 700
2.83 IPS
 
Pose Estimation (I8)
80% 288
1.17 IPS
 
Object Detection (F32)
100% 349
12.3 IPS
 
Object Detection (F16)
100% 417
14.6 IPS
 
Object Detection (I8)
53% 193
6.77 IPS
 
Face Detection (F32)
100% 660
7.59 IPS
 
Face Detection (F16)
97% 857
9.85 IPS
 
Face Detection (I8)
75% 414
4.75 IPS
 
Text Classification (F32)
100% 188
74.2 IPS
 
Text Classification (F16)
100% 166
65.5 IPS
 
Machine Translation (F32)
100% 213
32.9 IPS
 
Machine Translation (F16)
100% 186
28.7 IPS
 

Compare

Set Baseline Geekbench 6 now available