samsung SM-A166W
Geekbench AI Score
187
Single Precision Score
195
Half Precision Score
494
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | aqus |
| Upload Date | January 23 2026 12:29 PM |
| Views | 5 |
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% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
865
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.69 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.75 IPS |
|
|
Object Detection (Q)
|
87% |
351
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
696
8.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
265
2.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
268
2.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
661
6.00 IPS |
|
|
Style Transfer (SP)
|
100% |
173
0.22 IPS |
|
|
Style Transfer (HP)
|
100% |
268
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1184
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.8 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.8 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.5 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
