samsung SM-A166W
Geekbench AI Score
180
Single Precision Score
179
Half Precision Score
486
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 08:52 PM |
| Views | 7 |
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% |
326
60.7 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% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
846
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.63 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.40 IPS |
|
|
Object Detection (Q)
|
87% |
328
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
694
8.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
639
5.80 IPS |
|
|
Style Transfer (SP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
1171
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.2 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.1 IPS |
|
|
Text Classification (Q)
|
91% |
339
456.1 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.81 IPS |
