samsung SM-A236B
Geekbench AI Score
442
Single Precision Score
442
Half Precision Score
809
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 11:15 AM |
| Views | 1 |
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% |
186
34.7 IPS |
|
|
Image Classification (Q)
|
100% |
545
101.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
969
1.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
1304
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
542
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (Q)
|
95% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
854
6.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
861
6.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1228
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1608
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1609
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3044
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
755
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.4 IPS |
|
|
Text Classification (HP)
|
100% |
219
291.7 IPS |
|
|
Text Classification (Q)
|
88% |
441
594.3 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
50% |
311
11.0 IPS |
