samsung SM-A166W
Geekbench AI Score
541
Single Precision Score
530
Half Precision Score
1067
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:12 AM |
| Views | 2 |
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% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
100% |
779
144.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1789
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
738
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (Q)
|
95% |
1774
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1062
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
1045
8.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1702
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1845
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1806
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4000
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
940
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.9 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.4 IPS |
|
|
Text Classification (Q)
|
88% |
583
786.1 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
