samsung SM-A236B
Geekbench AI Score
436
Single Precision Score
436
Half Precision Score
798
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maxmenrm |
| Upload Date | February 21 2025 06:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A236B |
| Model ID | samsung SM-A236B |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (Q)
|
100% |
536
99.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
950
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
959
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
1300
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
83% |
533
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (Q)
|
95% |
1288
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
848
6.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1210
11.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1599
2.08 IPS |
|
|
Style Transfer (HP)
|
89% |
1598
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
3050
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
747
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.4 IPS |
|
|
Text Classification (HP)
|
100% |
215
286.9 IPS |
|
|
Text Classification (Q)
|
88% |
424
571.7 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
