samsung SM-A166W
Geekbench AI Score
185
Single Precision Score
173
Half Precision Score
469
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:39 AM |
| Views | 4 |
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% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
99% |
314
58.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
191
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
777
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.07 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (Q)
|
87% |
314
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
308
3.66 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (Q)
|
97% |
645
7.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
238
1.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
575
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
203
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
119
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
1119
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.8 IPS |
|
|
Text Classification (Q)
|
91% |
339
456.2 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
