samsung SM-A346M
Geekbench AI Score
521
Single Precision Score
503
Half Precision Score
979
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 10:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A346M |
| Model ID | samsung SM-A346M |
| 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% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
100% |
817
152.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1313
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1846
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
599
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (Q)
|
95% |
1461
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
874
6.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1360
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1734
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1684
2.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3485
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.0 IPS |
|
|
Text Classification (HP)
|
100% |
249
331.8 IPS |
|
|
Text Classification (Q)
|
88% |
542
731.5 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
