samsung SM-A356B
Geekbench AI Score
124
Single Precision Score
164
Half Precision Score
516
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
381
6.19 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
0.11 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
881
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.00 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
326
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (Q)
|
97% |
735
8.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
681
6.18 IPS |
|
|
Style Transfer (SP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1343
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76
2.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.8 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.3 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.2 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.03 IPS |
