samsung SM-A166U
Geekbench AI Score
420
Single Precision Score
414
Half Precision Score
791
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 09:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
528
98.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1292
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
83% |
526
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (Q)
|
95% |
1280
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
768
5.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
778
6.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1227
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1648
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1501
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3159
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
759
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.3 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.3 IPS |
|
|
Text Classification (Q)
|
88% |
433
584.1 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
50% |
265
9.41 IPS |
