samsung SM-A225F
Geekbench AI Score
210
Single Precision Score
210
Half Precision Score
286
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CT |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A225F |
| Model ID | samsung SM-A225F |
| Motherboard | a22 |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (Q)
|
100% |
193
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
263
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
405
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.75 IPS |
|
|
Object Detection (Q)
|
83% |
201
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (Q)
|
95% |
501
5.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
366
2.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
399
3.65 IPS |
|
|
Style Transfer (SP)
|
89% |
740
0.96 IPS |
|
|
Style Transfer (HP)
|
89% |
745
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
913
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.16 IPS |
|
|
Text Classification (SP)
|
100% |
107
142.9 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.9 IPS |
|
|
Text Classification (Q)
|
88% |
170
228.7 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
50% |
134
4.76 IPS |
