samsung SM-A356B
Geekbench AI Score
290
Single Precision Score
403
Half Precision Score
401
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
99% |
309
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
224
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
284
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
941
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
388
3.67 IPS |
|
|
Style Transfer (SP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1078
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1073
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.4 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.4 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
