samsung SM-A166U
Geekbench AI Score
445
Single Precision Score
426
Half Precision Score
805
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 12:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A166U |
| Model ID | samsung SM-A166U |
| 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
226
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
692
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1042
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
1502
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
499
40.3 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (Q)
|
95% |
1306
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
687
5.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1129
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1518
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2863
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
194
259.5 IPS |
|
|
Text Classification (HP)
|
100% |
196
262.1 IPS |
|
|
Text Classification (Q)
|
88% |
402
541.9 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
50% |
244
8.66 IPS |
