samsung SM-A166P
Geekbench AI Score
428
Single Precision Score
440
Half Precision Score
825
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 01:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A166P |
| Model ID | samsung SM-A166P |
| Motherboard | a16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
100% |
556
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
611
9.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1441
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
551
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
667
7.93 IPS |
|
|
Face Detection (HP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (Q)
|
95% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
843
6.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1304
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1600
2.08 IPS |
|
|
Style Transfer (HP)
|
89% |
1617
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3334
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
790
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.1 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.3 IPS |
|
|
Text Classification (Q)
|
88% |
424
572.2 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
50% |
294
10.4 IPS |
