samsung SM-A166W
Geekbench AI Score
460
Single Precision Score
447
Half Precision Score
824
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 05:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
697
129.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1305
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
540
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (HP)
|
100% |
683
8.11 IPS |
|
|
Face Detection (Q)
|
95% |
1288
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
769
5.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1214
11.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1583
2.05 IPS |
|
|
Style Transfer (HP)
|
89% |
1481
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3077
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
770
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
220
294.0 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.5 IPS |
|
|
Text Classification (Q)
|
88% |
452
609.7 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
50% |
242
8.59 IPS |
