samsung SM-A125F
Geekbench ML Score
81
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 02:27 PM |
| Views | 11 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
46
4.97 IPS |
|
|
Image Classification (F16)
|
100% |
45
4.84 IPS |
|
|
Image Classification (I8)
|
81% |
214
22.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
115
0.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
115
0.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
410
2.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
58
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
106
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
81
2.84 IPS |
|
|
Object Detection (F16)
|
100% |
81
2.84 IPS |
|
|
Object Detection (I8)
|
52% |
229
8.05 IPS |
|
|
Face Detection (F32)
|
100% |
111
1.27 IPS |
|
|
Face Detection (F16)
|
100% |
112
1.29 IPS |
|
|
Face Detection (I8)
|
75% |
292
3.35 IPS |
|
|
Text Classification (F32)
|
100% |
65
25.7 IPS |
|
|
Text Classification (F16)
|
100% |
65
25.8 IPS |
|
|
Machine Translation (F32)
|
100% |
10
1.59 IPS |
|
|
Machine Translation (F16)
|
100% |
11
1.63 IPS |
