samsung SM-A166W
Geekbench AI Score
181
Single Precision Score
184
Half Precision Score
492
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 10:23 AM |
| Views | 4 |
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
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
849
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.72 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.54 IPS |
|
|
Object Detection (Q)
|
87% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
97% |
712
8.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
649
5.89 IPS |
|
|
Style Transfer (SP)
|
100% |
129
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
150
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1170
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.0 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (Q)
|
91% |
338
454.7 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
