samsung SM-A166W
Geekbench AI Score
404
Single Precision Score
397
Half Precision Score
751
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 12:07 AM |
| Views | 3 |
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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
593
9.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
861
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1251
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
479
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (HP)
|
100% |
579
6.87 IPS |
|
|
Face Detection (Q)
|
95% |
1147
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
680
5.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1124
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1389
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1356
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2853
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
686
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.3 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.4 IPS |
|
|
Text Classification (Q)
|
88% |
402
542.6 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
50% |
260
9.22 IPS |
