samsung SM-A166W
Geekbench AI Score
401
Single Precision Score
396
Half Precision Score
746
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 27 2025 09:55 AM |
| Views | 10 |
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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.5 IPS |
|
|
Image Classification (Q)
|
100% |
707
131.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
558
9.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1185
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
483
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (Q)
|
95% |
1140
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
712
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1099
10.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1380
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1349
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2840
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (Q)
|
88% |
397
535.6 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
50% |
246
8.75 IPS |
