Samsung Galaxy A12s
Geekbench AI Score
286
Single Precision Score
296
Half Precision Score
286
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 12:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 850 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy A12s |
| Model ID | samsung SM-A127F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
100% |
188
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
231
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
463
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
169
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
95% |
497
5.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
507
3.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
472
4.32 IPS |
|
|
Style Transfer (SP)
|
89% |
1372
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1408
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1277
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
276
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
137
182.6 IPS |
|
|
Text Classification (HP)
|
100% |
136
180.9 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.3 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.16 IPS |
