samsung SM-A166W
Geekbench AI Score
152
Single Precision Score
152
Half Precision Score
360
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:53 AM |
| Views | 4 |
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% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
99% |
279
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
301
4.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
583
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.66 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.69 IPS |
|
|
Object Detection (Q)
|
87% |
237
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (HP)
|
100% |
230
2.74 IPS |
|
|
Face Detection (Q)
|
97% |
484
5.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
192
1.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
192
1.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
473
4.29 IPS |
|
|
Style Transfer (SP)
|
100% |
257
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
965
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
325
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
118
158.2 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.3 IPS |
|
|
Text Classification (Q)
|
91% |
232
312.3 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
57% |
190
4.65 IPS |
