samsung SM-M236L
Geekbench AI Score
417
Single Precision Score
404
Half Precision Score
721
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 07:50 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-M236L |
| Model ID | samsung SM-M236L |
| 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 | 3.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
702
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1135
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1083
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
437
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
583
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (Q)
|
95% |
1023
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
615
4.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1016
9.31 IPS |
|
|
Style Transfer (SP)
|
89% |
1357
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1362
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2604
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.6 IPS |
|
|
Text Classification (HP)
|
100% |
185
246.8 IPS |
|
|
Text Classification (Q)
|
88% |
335
452.0 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
50% |
262
9.31 IPS |
