samsung SM-A125U
Geekbench AI Score
281
Single Precision Score
275
Half Precision Score
309
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 02:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A125U |
| Model ID | samsung SM-A125U |
| Motherboard | a12u |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CA |
| 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 | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
100% |
180
33.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
337
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
673
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
656
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
519
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
188
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (Q)
|
95% |
591
7.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
510
4.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1209
1.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1242
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1251
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
291
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.9 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.5 IPS |
|
|
Text Classification (Q)
|
88% |
162
219.0 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.74 IPS |
