Phone - samsung SM-A346M samsung SM-A346M
Geekbench AI Score
310
Single Precision Score
786
Half Precision Score
1205
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | December 04 2024 08:05 PM |
| Views | 11 |
| Notes | Samsung Galaxy A34 5G, MediaTek Dimensity 1080, Mali-G68 MC4 |
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% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (Q)
|
99% |
2321
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1635
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
10330
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
14% |
22
131.0 IPS |
|
|
Face Detection (SP)
|
28% |
49
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (Q)
|
60% |
4395
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
291
2.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1328
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
949
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3118
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
4713
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
105
139.7 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
93% |
294
395.4 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.30 IPS |
