samsung SM-A166W
Geekbench AI Score
170
Single Precision Score
166
Half Precision Score
450
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 08:06 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.2 IPS |
|
|
Image Classification (Q)
|
99% |
320
59.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.43 IPS |
|
|
Object Detection (Q)
|
87% |
303
24.3 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
536
4.87 IPS |
|
|
Style Transfer (SP)
|
100% |
118
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
113
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
1121
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
420
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.2 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
