samsung SM-A166W
Geekbench AI Score
192
Single Precision Score
192
Half Precision Score
463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 02:56 AM |
| Views | 2 |
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% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
330
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
376
6.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
867
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.75 IPS |
|
|
Object Detection (Q)
|
87% |
352
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
662
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
640
5.81 IPS |
|
|
Style Transfer (SP)
|
100% |
358
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
336
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1036
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
4.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
383
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.4 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.7 IPS |
|
|
Text Classification (Q)
|
91% |
287
385.6 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.19 IPS |
