samsung SM-A166W
Geekbench AI Score
169
Single Precision Score
174
Half Precision Score
416
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 12:12 AM |
| Views | 8 |
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% |
122
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
313
58.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
330
5.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
747
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.10 IPS |
|
|
Object Detection (Q)
|
87% |
290
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
280
3.33 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
97% |
590
7.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
225
1.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
552
5.01 IPS |
|
|
Style Transfer (SP)
|
100% |
215
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
339
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
992
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
99
3.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
4.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
361
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.2 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.8 IPS |
|
|
Text Classification (Q)
|
91% |
260
349.1 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.67 IPS |
