samsung SM-A166W
Geekbench AI Score
181
Single Precision Score
182
Half Precision Score
488
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 09:22 PM |
| Views | 6 |
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% |
329
61.3 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% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
845
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.64 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.55 IPS |
|
|
Object Detection (Q)
|
87% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
684
8.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
263
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
645
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
135
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
145
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1196
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (Q)
|
91% |
339
456.1 IPS |
|
|
Machine Translation (SP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.72 IPS |
