samsung SM-A146P
Geekbench AI Score
488
Single Precision Score
461
Half Precision Score
871
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 12:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146P |
| Model ID | samsung SM-A146P |
| Motherboard | a14xm |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
1603
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
617
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
95% |
1228
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
817
6.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
776
5.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1391
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1748
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1626
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3686
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
718
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.5 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.3 IPS |
|
|
Text Classification (Q)
|
88% |
444
599.0 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
50% |
297
10.5 IPS |
