samsung SM-A166W
Geekbench AI Score
401
Single Precision Score
392
Half Precision Score
734
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 07:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
100% |
581
108.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
603
9.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
819
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1196
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
470
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (Q)
|
95% |
1143
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
725
5.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
682
5.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1120
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1386
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1378
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2890
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
683
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.6 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.0 IPS |
|
|
Text Classification (Q)
|
88% |
392
528.1 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
50% |
235
8.33 IPS |
