samsung SM-A346M
Geekbench AI Score
625
Single Precision Score
628
Half Precision Score
1235
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 02:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
100% |
840
156.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
942
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1325
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
2043
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
83% |
804
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1958
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1161
8.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
1945
17.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2358
3.06 IPS |
|
|
Style Transfer (HP)
|
89% |
2327
3.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4788
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.5 IPS |
|
|
Text Classification (Q)
|
88% |
725
977.9 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
