samsung SM-A356U1
Geekbench AI Score
669
Single Precision Score
693
Half Precision Score
1400
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | davidb53 |
| Upload Date | December 17 2024 05:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A356U1 |
| Model ID | samsung SM-A356U1 |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
313
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
100% |
1009
187.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1165
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1670
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1689
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
2647
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
83% |
918
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
95% |
2348
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1108
8.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
2390
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2597
3.37 IPS |
|
|
Style Transfer (HP)
|
89% |
2598
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
6191
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1448
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.5 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.0 IPS |
|
|
Text Classification (Q)
|
88% |
636
858.2 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
