samsung SM-E236B
Geekbench AI Score
416
Single Precision Score
405
Half Precision Score
735
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 09:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-E236B |
| Model ID | samsung SM-E236B |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
702
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1015
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1283
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
442
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
566
6.72 IPS |
|
|
Face Detection (HP)
|
100% |
567
6.73 IPS |
|
|
Face Detection (Q)
|
95% |
1021
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
761
5.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1016
9.30 IPS |
|
|
Style Transfer (SP)
|
89% |
1349
1.75 IPS |
|
|
Style Transfer (HP)
|
89% |
1356
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2603
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.1 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.6 IPS |
|
|
Text Classification (Q)
|
88% |
340
459.2 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
50% |
263
9.32 IPS |
