samsung SM-A356B
Geekbench AI Score
710
Single Precision Score
707
Half Precision Score
1443
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | March 15 2025 03:13 PM |
| Views | 4 |
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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
1290
239.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1391
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1538
1.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
2663
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
83% |
961
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
2387
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1242
9.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
2410
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2631
3.42 IPS |
|
|
Style Transfer (HP)
|
89% |
2645
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5814
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1387
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.1 IPS |
|
|
Text Classification (HP)
|
100% |
333
445.1 IPS |
|
|
Text Classification (Q)
|
88% |
597
805.1 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
