samsung SM-A356B
Geekbench AI Score
877
Single Precision Score
881
Half Precision Score
1880
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | May 18 2025 04:27 AM |
| Views | 9 |
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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
1396
259.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1599
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3439
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
83% |
1281
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3201
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1567
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1586
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3125
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3371
4.38 IPS |
|
|
Style Transfer (HP)
|
89% |
3333
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7875
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1953
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
486
649.0 IPS |
|
|
Text Classification (HP)
|
100% |
477
637.1 IPS |
|
|
Text Classification (Q)
|
88% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
