samsung SM-A356E
Geekbench AI Score
513
Single Precision Score
754
Half Precision Score
633
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 06:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A356E |
| Model ID | samsung SM-A356E |
| 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% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
97% |
326
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1041
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4657
5.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
4633
5.43 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
83% |
452
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1856
22.0 IPS |
|
|
Face Detection (Q)
|
96% |
1758
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2789
21.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2191
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3714
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
8621
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8447
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1054
39.1 IPS |
|
|
Text Classification (SP)
|
35% |
7
63.8 IPS |
|
|
Text Classification (HP)
|
35% |
10
91.3 IPS |
|
|
Text Classification (Q)
|
32% |
10
124.6 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (Q)
|
43% |
43
2.52 IPS |
