samsung SM-A166W
Geekbench AI Score
162
Single Precision Score
167
Half Precision Score
414
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:46 AM |
| Views | 5 |
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% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
99% |
313
58.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
363
5.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
176
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
747
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.41 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (Q)
|
87% |
303
24.3 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
625
7.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
518
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
151
0.19 IPS |
|
|
Style Transfer (HP)
|
100% |
272
0.35 IPS |
|
|
Style Transfer (Q)
|
98% |
946
1.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
350
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.8 IPS |
|
|
Text Classification (HP)
|
100% |
126
167.8 IPS |
|
|
Text Classification (Q)
|
91% |
233
312.6 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.65 IPS |
