samsung SM-A166W
Geekbench AI Score
418
Single Precision Score
406
Half Precision Score
758
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
661
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
628
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
895
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1275
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (HP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (Q)
|
95% |
1158
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
685
5.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1138
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1490
1.93 IPS |
|
|
Style Transfer (HP)
|
89% |
1449
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2896
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
683
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.7 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.1 IPS |
|
|
Text Classification (Q)
|
88% |
397
535.5 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
50% |
245
8.71 IPS |
