samsung SM-A166W
Geekbench AI Score
546
Single Precision Score
533
Half Precision Score
1061
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
242
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
100% |
766
142.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1187
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1795
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
83% |
727
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (HP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (Q)
|
95% |
1760
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1061
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
1051
8.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1692
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1959
2.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1869
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3977
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
947
35.1 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.9 IPS |
|
|
Text Classification (HP)
|
100% |
268
357.9 IPS |
|
|
Text Classification (Q)
|
88% |
558
753.0 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (Q)
|
50% |
331
11.8 IPS |
