samsung SM-A166W
Geekbench AI Score
190
Single Precision Score
163
Half Precision Score
450
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 04:01 AM |
| Views | 12 |
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% |
119
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
732
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.42 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (Q)
|
87% |
302
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (Q)
|
97% |
590
7.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
561
5.09 IPS |
|
|
Style Transfer (SP)
|
100% |
359
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
1099
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
437
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.0 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.5 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.5 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.84 IPS |
