samsung SM-M236L
Geekbench AI Score
328
Single Precision Score
528
Half Precision Score
516
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 07:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
354
5.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
1334
1.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
2336
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
99% |
375
29.8 IPS |
|
|
Object Detection (Q)
|
85% |
352
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (HP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1158
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
874
6.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
1466
11.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
1214
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1891
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3625
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3502
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
152.4 IPS |
|
|
Text Classification (HP)
|
35% |
24
222.3 IPS |
|
|
Text Classification (Q)
|
35% |
24
219.0 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (HP)
|
97% |
320
5.53 IPS |
|
|
Machine Translation (Q)
|
64% |
254
5.21 IPS |
