samsung SM-A346B
Geekbench AI Score
572
Single Precision Score
558
Half Precision Score
1132
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 07:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A346B |
| Model ID | samsung SM-A346B |
| 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% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
100% |
587
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
687
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1820
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
83% |
782
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
1959
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1137
8.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1177
9.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1886
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2294
2.98 IPS |
|
|
Style Transfer (HP)
|
89% |
2300
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4745
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1129
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.5 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.3 IPS |
|
|
Text Classification (Q)
|
88% |
728
981.4 IPS |
|
|
Machine Translation (SP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
50% |
421
15.0 IPS |
