samsung SM-A356B
Geekbench AI Score
284
Single Precision Score
370
Half Precision Score
386
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 10 2024 04:54 PM |
| Views | 5 |
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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (Q)
|
99% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
455
7.40 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% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
83% |
272
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
923
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.66 IPS |
|
|
Depth Estimation (Q)
|
62% |
384
3.63 IPS |
|
|
Style Transfer (SP)
|
100% |
748
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1071
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1066
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
298
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.3 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.6 IPS |
|
|
Text Classification (Q)
|
91% |
342
459.8 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
