[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench AI Score
306
Single Precision Score
784
Half Precision Score
1188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | January 18 2025 08:47 PM |
| Views | 9 |
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% |
1292
240.2 IPS |
|
|
Image Classification (Q)
|
99% |
2247
419.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1333
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4307
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
10326
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (Q)
|
14% |
22
130.1 IPS |
|
|
Face Detection (SP)
|
28% |
49
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (Q)
|
60% |
4194
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1315
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3131
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2818
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
4655
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.2 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.0 IPS |
|
|
Text Classification (Q)
|
93% |
279
374.7 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
57% |
300
7.34 IPS |
