samsung SM-A166W
Geekbench AI Score
404
Single Precision Score
399
Half Precision Score
756
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:34 AM |
| Views | 2 |
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% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
100% |
675
125.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
618
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1196
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.90 IPS |
|
|
Face Detection (Q)
|
95% |
1162
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
688
5.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1114
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1485
1.93 IPS |
|
|
Style Transfer (HP)
|
89% |
1352
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2853
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
683
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.8 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.4 IPS |
|
|
Text Classification (Q)
|
88% |
405
546.5 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
50% |
249
8.83 IPS |
