samsung SM-A166W
Geekbench AI Score
170
Single Precision Score
169
Half Precision Score
453
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 10:33 AM |
| Views | 9 |
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
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
187
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
700
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.40 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.42 IPS |
|
|
Object Detection (Q)
|
87% |
300
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
591
7.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
537
4.87 IPS |
|
|
Style Transfer (SP)
|
100% |
108
0.14 IPS |
|
|
Style Transfer (HP)
|
100% |
121
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
1153
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
434
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (HP)
|
100% |
172
230.2 IPS |
|
|
Text Classification (Q)
|
91% |
332
445.9 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.60 IPS |
