samsung SM-A166W
Geekbench AI Score
187
Single Precision Score
182
Half Precision Score
443
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 06:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A166W |
| Model ID | samsung SM-A166W |
| 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% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
320
59.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
750
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (Q)
|
87% |
307
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
291
3.45 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
615
7.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
230
1.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
556
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
347
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1079
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.7 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.7 IPS |
|
|
Text Classification (Q)
|
91% |
300
403.0 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
57% |
242
5.92 IPS |
