Geekbench ML Score

259
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date January 24 2025 11:30 PM
Views 3

System Information

System Information
Operating System Android 15
Model samsung SM-A146P
Model IDsamsung SM-A146P
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 3.46 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 341
36.6 IPS
 
Image Classification (F16)
100% 465
49.9 IPS
 
Image Classification (I8)
80% 122
13.0 IPS
 
Image Segmentation (F32)
100% 288
1.78 IPS
 
Image Segmentation (F16)
100% 273
1.68 IPS
 
Image Segmentation (I8)
89% 460
2.84 IPS
 
Pose Estimation (F32)
100% 371
1.50 IPS
 
Pose Estimation (F16)
100% 706
2.86 IPS
 
Pose Estimation (I8)
80% 196
0.79 IPS
 
Object Detection (F32)
100% 261
9.16 IPS
 
Object Detection (F16)
100% 303
10.6 IPS
 
Object Detection (I8)
53% 117
4.10 IPS
 
Face Detection (F32)
100% 610
7.01 IPS
 
Face Detection (F16)
97% 690
7.92 IPS
 
Face Detection (I8)
75% 275
3.16 IPS
 
Text Classification (F32)
100% 125
49.3 IPS
 
Text Classification (F16)
100% 99
39.0 IPS
 
Machine Translation (F32)
100% 117
18.0 IPS
 
Machine Translation (F16)
100% 135
20.9 IPS
 

Compare

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