samsung SM-A166W
Geekbench AI Score
535
Single Precision Score
538
Half Precision Score
1064
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:44 PM |
| Views | 12 |
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% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
100% |
778
144.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1782
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
740
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (HP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (Q)
|
95% |
1736
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1683
15.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1971
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1956
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4090
5.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
934
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.7 IPS |
|
|
Text Classification (Q)
|
88% |
554
746.9 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
