samsung SM-A236U
Geekbench AI Score
525
Single Precision Score
517
Half Precision Score
996
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 2048 |
| Upload Date | June 30 2025 09:54 AM |
| Views | 4 |
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% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
100% |
712
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
820
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1171
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1732
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
708
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.95 IPS |
|
|
Face Detection (Q)
|
95% |
1706
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1601
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2004
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2004
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3908
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.4 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.0 IPS |
|
|
Text Classification (Q)
|
88% |
473
637.5 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.04 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
