samsung SM-A356E
Geekbench AI Score
639
Single Precision Score
660
Half Precision Score
1333
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 03:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A356E |
| Model ID | samsung SM-A356E |
| 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% |
310
57.7 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
100% |
948
176.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1502
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1522
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2546
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
83% |
916
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
815
9.68 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
2206
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1121
8.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1276
9.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
2271
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2466
3.20 IPS |
|
|
Style Transfer (HP)
|
89% |
2472
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
5840
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1380
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.8 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.0 IPS |
|
|
Text Classification (Q)
|
88% |
593
800.1 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.09 IPS |
|
|
Machine Translation (Q)
|
50% |
301
10.7 IPS |
