samsung SM-A166W
Geekbench AI Score
161
Single Precision Score
169
Half Precision Score
438
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2025 02:10 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% |
121
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.2 IPS |
|
|
Image Classification (Q)
|
99% |
310
57.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
356
5.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
176
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
777
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.43 IPS |
|
|
Object Detection (Q)
|
87% |
302
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
289
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
97% |
612
7.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
233
1.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
571
5.18 IPS |
|
|
Style Transfer (SP)
|
100% |
99
0.13 IPS |
|
|
Style Transfer (HP)
|
100% |
174
0.22 IPS |
|
|
Style Transfer (Q)
|
98% |
938
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
104
3.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.8 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.9 IPS |
|
|
Text Classification (Q)
|
91% |
300
402.6 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.60 IPS |
