Phone - samsung SM-A346M samsung SM-A346M
Geekbench AI Score
252
Single Precision Score
345
Half Precision Score
355
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | December 04 2024 07:22 PM |
| Views | 12 |
| Notes | Samsung Galaxy A34 5G, MediaTek Dimensity 1080, Mali-G68 MC4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
169
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.4 IPS |
|
|
Image Classification (Q)
|
99% |
301
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
393
6.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
189
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
232
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
799
9.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
312
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
402
3.10 IPS |
|
|
Depth Estimation (Q)
|
62% |
325
3.07 IPS |
|
|
Style Transfer (SP)
|
100% |
627
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
882
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
878
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
249
9.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
246
9.11 IPS |
|
|
Text Classification (SP)
|
100% |
182
242.8 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.1 IPS |
|
|
Text Classification (Q)
|
91% |
369
495.6 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.26 IPS |
