samsung SM-A225F
Geekbench AI Score
212
Single Precision Score
213
Half Precision Score
297
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:07 PM |
| Views | 3 |
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% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.5 IPS |
|
|
Image Classification (Q)
|
100% |
213
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.76 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.78 IPS |
|
|
Object Detection (Q)
|
83% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (Q)
|
95% |
577
6.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
428
3.92 IPS |
|
|
Style Transfer (SP)
|
89% |
745
0.97 IPS |
|
|
Style Transfer (HP)
|
89% |
735
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
912
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.14 IPS |
|
|
Text Classification (SP)
|
100% |
101
135.2 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.3 IPS |
|
|
Text Classification (Q)
|
88% |
169
228.5 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
50% |
134
4.75 IPS |
