samsung SM-A236U
Geekbench AI Score
539
Single Precision Score
540
Half Precision Score
1046
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | amoshearon |
| Upload Date | November 28 2025 05:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A236U |
| Model ID | samsung SM-A236U |
| 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% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (Q)
|
100% |
711
132.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1170
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1728
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
705
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (Q)
|
95% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1001
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1000
7.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1598
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2003
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2012
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4041
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.5 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.3 IPS |
|
|
Text Classification (Q)
|
88% |
559
754.6 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
50% |
365
12.9 IPS |
