samsung SM-A166W
Geekbench AI Score
196
Single Precision Score
179
Half Precision Score
472
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:19 AM |
| Views | 8 |
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% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
327
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
832
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.92 IPS |
|
|
Object Detection (Q)
|
87% |
289
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.57 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
97% |
664
7.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
257
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
650
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
341
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
151
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1133
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
437
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.8 IPS |
|
|
Text Classification (HP)
|
100% |
172
230.1 IPS |
|
|
Text Classification (Q)
|
91% |
331
445.4 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.60 IPS |
