samsung SM-A166W
Geekbench AI Score
188
Single Precision Score
195
Half Precision Score
484
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 08:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.52 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% |
688
8.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
622
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
197
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
311
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
1149
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.8 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.5 IPS |
|
|
Text Classification (Q)
|
91% |
331
445.5 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.73 IPS |
