samsung SM-A125F
Geekbench ML Score
50
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 02:58 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A125F |
| Model ID | samsung SM-A125F |
| Motherboard | a12 |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
37
3.96 IPS |
|
|
Image Classification (F16)
|
100% |
37
3.96 IPS |
|
|
Image Classification (I8)
|
81% |
66
7.06 IPS |
|
|
Image Segmentation (F32)
|
100% |
94
0.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
93
0.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
121
0.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
39
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
20
0.08 IPS |
|
|
Object Detection (F32)
|
100% |
54
1.91 IPS |
|
|
Object Detection (F16)
|
100% |
55
1.92 IPS |
|
|
Object Detection (I8)
|
52% |
83
2.92 IPS |
|
|
Face Detection (F32)
|
100% |
82
0.94 IPS |
|
|
Face Detection (F16)
|
100% |
81
0.94 IPS |
|
|
Face Detection (I8)
|
75% |
92
1.06 IPS |
|
|
Text Classification (F32)
|
100% |
72
28.6 IPS |
|
|
Text Classification (F16)
|
100% |
75
29.5 IPS |
|
|
Machine Translation (F32)
|
100% |
10
1.60 IPS |
|
|
Machine Translation (F16)
|
100% |
10
1.59 IPS |
