samsung SM-A125F
Geekbench ML Score
115
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 02:41 PM |
| Views | 8 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
146
15.6 IPS |
|
|
Image Classification (F16)
|
61% |
181
19.4 IPS |
|
|
Image Classification (I8)
|
80% |
162
17.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
94
0.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
94
0.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
119
0.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
159
0.64 IPS |
|
|
Pose Estimation (I8)
|
87% |
155
0.63 IPS |
|
|
Object Detection (F32)
|
100% |
137
4.80 IPS |
|
|
Object Detection (F16)
|
60% |
156
5.47 IPS |
|
|
Object Detection (I8)
|
42% |
149
5.23 IPS |
|
|
Face Detection (F32)
|
100% |
267
3.06 IPS |
|
|
Face Detection (F16)
|
96% |
346
3.98 IPS |
|
|
Face Detection (I8)
|
74% |
273
3.13 IPS |
|
|
Text Classification (F32)
|
100% |
117
46.3 IPS |
|
|
Text Classification (F16)
|
54% |
111
43.8 IPS |
|
|
Machine Translation (F32)
|
100% |
10
1.53 IPS |
|
|
Machine Translation (F16)
|
100% |
10
1.59 IPS |
