samsung SM-A346E
Geekbench AI Score
571
Single Precision Score
570
Half Precision Score
1118
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 07:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A346E |
| Model ID | samsung SM-A346E |
| Motherboard | a34x |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
100% |
820
152.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
947
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1362
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
2047
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
83% |
707
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (Q)
|
95% |
1733
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1005
7.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1698
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2029
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2006
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4192
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1014
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.3 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.0 IPS |
|
|
Text Classification (Q)
|
88% |
616
831.4 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
