samsung SM-A356B
Geekbench AI Score
742
Single Precision Score
734
Half Precision Score
1509
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 10 2024 04:31 PM |
| Views | 5 |
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% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.4 IPS |
|
|
Image Classification (Q)
|
100% |
1353
251.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1456
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1731
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1548
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2715
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
83% |
982
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1311
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1285
9.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
2429
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2708
3.52 IPS |
|
|
Style Transfer (HP)
|
89% |
2703
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
6195
7.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1484
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.1 IPS |
|
|
Text Classification (HP)
|
100% |
350
466.5 IPS |
|
|
Text Classification (Q)
|
88% |
665
896.4 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
