samsung SM-A225F
Geekbench AI Score
219
Single Precision Score
215
Half Precision Score
298
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 09:26 PM |
| Views | 1 |
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% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
259
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
433
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
414
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.72 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.91 IPS |
|
|
Object Detection (Q)
|
83% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
95% |
573
6.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
461
4.23 IPS |
|
|
Style Transfer (SP)
|
89% |
850
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
845
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
951
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
208
7.69 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.6 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.9 IPS |
|
|
Text Classification (Q)
|
88% |
169
227.9 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.78 IPS |
