samsung SM-A166W
Geekbench AI Score
149
Single Precision Score
208
Half Precision Score
214
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 12:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
94
17.4 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
220
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
82
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
97
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.19 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
83% |
131
10.6 IPS |
|
|
Face Detection (SP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (Q)
|
97% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
160
1.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
209
1.61 IPS |
|
|
Depth Estimation (Q)
|
62% |
169
1.60 IPS |
|
|
Style Transfer (SP)
|
100% |
322
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
453
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
451
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
133
4.93 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.7 IPS |
|
|
Text Classification (Q)
|
91% |
340
456.5 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |
