samsung SM-A166W
Geekbench AI Score
162
Single Precision Score
161
Half Precision Score
408
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:21 PM |
| 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% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 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
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
210
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
745
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.42 IPS |
|
|
Object Detection (Q)
|
87% |
300
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
553
5.02 IPS |
|
|
Style Transfer (SP)
|
100% |
159
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
192
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
939
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
98
3.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
125
167.0 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.4 IPS |
|
|
Text Classification (Q)
|
91% |
233
312.5 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
57% |
210
5.13 IPS |
