samsung SM-M146B
Geekbench AI Score
181
Single Precision Score
150
Half Precision Score
427
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M146B |
| Model ID | samsung SM-M146B |
| Motherboard | s5e8535 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
123
23.0 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
619
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.37 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.10 IPS |
|
|
Object Detection (Q)
|
87% |
250
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
242
2.87 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (Q)
|
97% |
485
5.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
197
1.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
193
1.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
474
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
309
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
66
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1065
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
470
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.9 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.4 IPS |
|
|
Text Classification (Q)
|
91% |
340
456.7 IPS |
|
|
Machine Translation (SP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.76 IPS |
