samsung SM-A346E
Geekbench AI Score
491
Single Precision Score
469
Half Precision Score
908
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KeepUPwithOneUI |
| Upload Date | May 04 2025 07:12 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A346E |
| Model ID | samsung SM-A346E |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
693
128.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
926
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
1546
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
600
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
95% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1287
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1682
2.18 IPS |
|
|
Style Transfer (HP)
|
89% |
1615
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3293
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
784
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.9 IPS |
|
|
Text Classification (HP)
|
100% |
232
310.1 IPS |
|
|
Text Classification (Q)
|
88% |
500
674.8 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
