samsung SM-A166W
Geekbench AI Score
178
Single Precision Score
177
Half Precision Score
479
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 12:44 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% |
122
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
831
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.22 IPS |
|
|
Object Detection (Q)
|
87% |
338
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
97% |
666
7.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
257
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
630
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
120
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
128
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1124
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.4 IPS |
|
|
Text Classification (Q)
|
91% |
324
434.8 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.61 IPS |
