samsung SM-A346M
Geekbench AI Score
310
Single Precision Score
786
Half Precision Score
1209
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 11:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A346M |
| Model ID | samsung SM-A346M |
| 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% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (Q)
|
99% |
2314
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
10339
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.6 IPS |
|
|
Object Detection (Q)
|
14% |
22
130.7 IPS |
|
|
Face Detection (SP)
|
28% |
49
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (Q)
|
60% |
4382
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
291
2.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1326
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
940
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
502
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3088
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
4767
202.8 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.4 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.8 IPS |
|
|
Text Classification (Q)
|
93% |
302
405.3 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
57% |
300
7.34 IPS |
