Geekbench ML Score

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

Result Information

Upload Date May 29 2025 09:55 PM
Views 4

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% 356
38.2 IPS
 
Image Classification (F16)
100% 507
54.3 IPS
 
Image Classification (I8)
80% 178
19.1 IPS
 
Image Segmentation (F32)
100% 410
2.53 IPS
 
Image Segmentation (F16)
100% 402
2.49 IPS
 
Image Segmentation (I8)
89% 801
4.95 IPS
 
Pose Estimation (F32)
100% 374
1.51 IPS
 
Pose Estimation (F16)
100% 712
2.88 IPS
 
Pose Estimation (I8)
80% 267
1.08 IPS
 
Object Detection (F32)
100% 330
11.6 IPS
 
Object Detection (F16)
100% 410
14.4 IPS
 
Object Detection (I8)
53% 198
6.94 IPS
 
Face Detection (F32)
100% 672
7.72 IPS
 
Face Detection (F16)
97% 848
9.74 IPS
 
Face Detection (I8)
75% 376
4.33 IPS
 
Text Classification (F32)
100% 202
79.8 IPS
 
Text Classification (F16)
100% 166
65.6 IPS
 
Machine Translation (F32)
100% 208
32.0 IPS
 
Machine Translation (F16)
100% 194
29.9 IPS
 

Compare

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