Phone - samsung SM-A346M samsung SM-A346M
Geekbench AI Score
631
Single Precision Score
629
Half Precision Score
1239
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | December 04 2024 06:55 PM |
| Views | 10 |
| Notes | Samsung Galaxy A34 5G, MediaTek Dimensity 1080, Mali-G68 MC4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
280
52.0 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
100% |
832
154.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
955
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1368
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1352
1.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
2048
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
83% |
814
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1978
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1162
8.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1909
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2325
3.02 IPS |
|
|
Style Transfer (HP)
|
89% |
2327
3.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4789
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1157
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.0 IPS |
|
|
Text Classification (HP)
|
100% |
343
457.6 IPS |
|
|
Text Classification (Q)
|
88% |
722
974.4 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.24 IPS |
|
|
Machine Translation (Q)
|
50% |
428
15.2 IPS |
