samsung SM-A356B
Geekbench AI Score
740
Single Precision Score
734
Half Precision Score
1503
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | October 19 2024 12:11 AM |
| Views | 7 |
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% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.5 IPS |
|
|
Image Classification (Q)
|
100% |
1281
238.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1517
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1705
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1561
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
2684
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
83% |
986
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2401
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1279
9.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
2445
22.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2704
3.51 IPS |
|
|
Style Transfer (HP)
|
89% |
2693
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
6188
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1486
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.5 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.2 IPS |
|
|
Text Classification (Q)
|
88% |
651
877.6 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
