samsung SM-A146U
Geekbench AI Score
487
Single Precision Score
467
Half Precision Score
914
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 05:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833V/NZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A146U |
| Model ID | samsung SM-A146U |
| Motherboard | a14xm |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/NZA |
| 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 | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (Q)
|
100% |
641
119.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
702
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
898
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
1635
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
619
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (HP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (Q)
|
95% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
830
6.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1498
13.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1791
2.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1756
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3739
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
846
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
261
347.9 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.6 IPS |
|
|
Text Classification (Q)
|
88% |
464
626.4 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
