samsung SM-A166W
Geekbench AI Score
399
Single Precision Score
395
Half Precision Score
738
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:26 AM |
| Views | 7 |
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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
100% |
583
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
594
9.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
866
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1183
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
475
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (HP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (Q)
|
95% |
1137
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
672
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
708
5.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1121
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1364
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1344
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2911
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
686
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.0 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.2 IPS |
|
|
Text Classification (Q)
|
88% |
401
540.7 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
50% |
243
8.64 IPS |
