samsung SM-A146U
Geekbench AI Score
394
Single Precision Score
354
Half Precision Score
734
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:37 PM |
| Views | 2 |
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% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (Q)
|
100% |
638
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
947
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
1493
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
503
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
588
6.98 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
95% |
847
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
555
4.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1142
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1426
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1276
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3045
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
551
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.4 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.8 IPS |
|
|
Text Classification (Q)
|
88% |
403
543.3 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
50% |
206
7.32 IPS |
