samsung SM-A166W
Geekbench AI Score
168
Single Precision Score
172
Half Precision Score
418
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:29 AM |
| Views | 10 |
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% |
118
21.9 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
99% |
305
56.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
762
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (Q)
|
87% |
314
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (Q)
|
97% |
590
7.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
227
1.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
551
5.00 IPS |
|
|
Style Transfer (SP)
|
100% |
205
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
317
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
946
1.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
99
3.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
332
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (HP)
|
100% |
132
175.8 IPS |
|
|
Text Classification (Q)
|
91% |
259
348.6 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.65 IPS |
