samsung SM-A166W
Geekbench AI Score
180
Single Precision Score
179
Half Precision Score
485
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 09:36 AM |
| Views | 5 |
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% |
123
22.8 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% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
210
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
849
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.68 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.47 IPS |
|
|
Object Detection (Q)
|
87% |
345
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
674
8.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
648
5.88 IPS |
|
|
Style Transfer (SP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1108
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
439
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.8 IPS |
|
|
Text Classification (Q)
|
91% |
339
456.2 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |
