samsung SM-A166W
Geekbench AI Score
497
Single Precision Score
499
Half Precision Score
931
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 08:08 AM |
| Views | 3 |
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% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1634
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
637
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
95% |
1514
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
890
6.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1348
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1752
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1739
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3423
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
840
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.3 IPS |
|
|
Text Classification (HP)
|
100% |
246
327.8 IPS |
|
|
Text Classification (Q)
|
88% |
515
694.4 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
