samsung SM-A166W
Geekbench AI Score
417
Single Precision Score
396
Half Precision Score
770
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:30 PM |
| 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% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (Q)
|
100% |
612
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
620
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1308
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
500
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (HP)
|
100% |
603
7.17 IPS |
|
|
Face Detection (Q)
|
95% |
1251
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
685
5.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
691
5.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1123
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1512
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1378
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2897
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.0 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.0 IPS |
|
|
Text Classification (Q)
|
88% |
435
586.7 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
50% |
246
8.75 IPS |
