samsung SM-A166W
Geekbench AI Score
188
Single Precision Score
196
Half Precision Score
480
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:43 PM |
| Views | 6 |
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% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
191
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
797
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.36 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (Q)
|
87% |
314
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
97% |
662
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
250
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
237
1.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
598
5.43 IPS |
|
|
Style Transfer (SP)
|
100% |
221
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1298
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
441
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.6 IPS |
|
|
Text Classification (HP)
|
100% |
175
232.9 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.3 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.80 IPS |
