samsung SM-A346N
Geekbench AI Score
488
Single Precision Score
483
Half Precision Score
920
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A346N |
| Model ID | samsung SM-A346N |
| Motherboard | a34x |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
100% |
519
96.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
655
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
1600
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
83% |
609
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.05 IPS |
|
|
Face Detection (Q)
|
95% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
949
7.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
948
7.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1400
12.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1767
2.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1833
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3925
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
876
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.1 IPS |
|
|
Text Classification (HP)
|
100% |
261
347.9 IPS |
|
|
Text Classification (Q)
|
88% |
568
766.1 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
