samsung SM-A356B
Geekbench AI Score
783
Single Precision Score
789
Half Precision Score
1607
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | October 15 2024 06:52 PM |
| Views | 6 |
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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
100% |
1308
243.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1543
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1649
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
2738
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
1094
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2829
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1336
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1354
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2848
26.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3100
4.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3054
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6653
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1570
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
374
499.4 IPS |
|
|
Text Classification (HP)
|
100% |
373
498.1 IPS |
|
|
Text Classification (Q)
|
88% |
691
932.3 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
