samsung SM-A346B
Geekbench AI Score
305
Single Precision Score
780
Half Precision Score
1188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | January 19 2025 06:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A346B |
| Model ID | samsung SM-A346B |
| 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% |
204
38.0 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (Q)
|
99% |
2236
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1315
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4307
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
10316
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
1206
95.6 IPS |
|
|
Object Detection (Q)
|
14% |
21
127.5 IPS |
|
|
Face Detection (SP)
|
28% |
48
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (Q)
|
60% |
4323
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1322
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
941
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3115
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
4708
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.7 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.3 IPS |
|
|
Text Classification (Q)
|
93% |
283
379.5 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
57% |
302
7.39 IPS |
