samsung SM-A166W
Geekbench AI Score
194
Single Precision Score
189
Half Precision Score
460
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:48 AM |
| Views | 10 |
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% |
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% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
809
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.34 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.79 IPS |
|
|
Object Detection (Q)
|
87% |
315
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (Q)
|
97% |
639
7.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
597
5.41 IPS |
|
|
Style Transfer (SP)
|
100% |
379
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
327
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1075
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.7 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.3 IPS |
|
|
Text Classification (Q)
|
91% |
313
420.3 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
