samsung SM-A166U
Geekbench AI Score
136
Single Precision Score
136
Half Precision Score
363
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A166U |
| Model ID | samsung SM-A166U |
| Motherboard | s5e8535 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
99% |
268
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
286
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
582
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.64 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.04 IPS |
|
|
Object Detection (Q)
|
87% |
236
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
227
2.70 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
97% |
480
5.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
191
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
472
4.28 IPS |
|
|
Style Transfer (SP)
|
100% |
97
0.12 IPS |
|
|
Style Transfer (HP)
|
100% |
83
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
963
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.8 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.4 IPS |
|
|
Text Classification (Q)
|
91% |
246
330.1 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.04 IPS |
|
|
Machine Translation (Q)
|
57% |
221
5.41 IPS |
