[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench AI Score
477
Single Precision Score
457
Half Precision Score
877
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | January 19 2025 05:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.9 IPS |
|
|
Image Classification (Q)
|
100% |
736
136.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1567
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
588
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (HP)
|
100% |
646
7.67 IPS |
|
|
Face Detection (Q)
|
95% |
1360
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
819
6.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1219
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1642
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1517
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
3098
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
736
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.8 IPS |
|
|
Text Classification (HP)
|
100% |
214
286.0 IPS |
|
|
Text Classification (Q)
|
88% |
488
658.0 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
50% |
252
8.94 IPS |
