samsung SM-A346E
Geekbench AI Score
524
Single Precision Score
569
Half Precision Score
1673
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KeepUPwithOneUI |
| Upload Date | August 03 2025 10:42 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
365
67.9 IPS |
|
|
Image Classification (HP)
|
100% |
1229
228.6 IPS |
|
|
Image Classification (Q)
|
99% |
1673
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1756
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4307
5.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
10693
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
1203
95.4 IPS |
|
|
Object Detection (Q)
|
89% |
1558
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
5256
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
385
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
158
1.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
1318
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1567
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
287
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2896
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
3841
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.9 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.2 IPS |
|
|
Text Classification (Q)
|
93% |
284
381.8 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
51% |
161
5.31 IPS |
