samsung SM-A166W
Geekbench AI Score
135
Single Precision Score
155
Half Precision Score
371
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 07:54 PM |
| Views | 3 |
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% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
99% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
258
4.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
584
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.66 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.69 IPS |
|
|
Object Detection (Q)
|
87% |
236
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (HP)
|
100% |
230
2.74 IPS |
|
|
Face Detection (Q)
|
97% |
483
5.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
192
1.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
192
1.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
473
4.29 IPS |
|
|
Style Transfer (SP)
|
100% |
70
0.09 IPS |
|
|
Style Transfer (HP)
|
100% |
293
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1015
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
4.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
396
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.3 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.8 IPS |
|
|
Text Classification (Q)
|
91% |
273
366.6 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.67 IPS |
