samsung SM-A356B
Geekbench AI Score
719
Single Precision Score
700
Half Precision Score
1421
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A356B |
| Model ID | samsung SM-A356B |
| 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% |
375
69.8 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
100% |
1178
219.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1532
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1562
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
2721
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
83% |
972
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2279
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1286
9.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
2303
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2662
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2710
3.52 IPS |
|
|
Style Transfer (Q)
|
98% |
6273
8.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1383
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
338
450.5 IPS |
|
|
Text Classification (HP)
|
100% |
333
443.9 IPS |
|
|
Text Classification (Q)
|
88% |
616
830.7 IPS |
|
|
Machine Translation (SP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
