samsung SM-A166W
Geekbench AI Score
418
Single Precision Score
403
Half Precision Score
760
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
229
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (Q)
|
100% |
583
108.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
1332
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
83% |
510
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (HP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (Q)
|
95% |
1147
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
682
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1117
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1476
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1385
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
2848
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
679
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
190
254.0 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.5 IPS |
|
|
Text Classification (Q)
|
88% |
403
543.2 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
50% |
244
8.68 IPS |
