samsung SM-A166W
Geekbench AI Score
192
Single Precision Score
168
Half Precision Score
454
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 04:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
120
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
304
56.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
361
5.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
709
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.42 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (Q)
|
87% |
314
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (Q)
|
97% |
613
7.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
608
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
403
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1125
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
420
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.8 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.6 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.00 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.61 IPS |
