samsung SM-M166P
Geekbench ML Score
482
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 26 2025 03:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-M166P |
| Model ID | samsung SM-M166P |
| Motherboard | m16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
303
32.4 IPS |
|
|
Image Classification (F16)
|
100% |
542
58.0 IPS |
|
|
Image Classification (I8)
|
80% |
502
53.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
608
3.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
1209
7.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1178
7.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
571
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
547
2.21 IPS |
|
|
Object Detection (F32)
|
100% |
302
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
455
16.0 IPS |
|
|
Object Detection (I8)
|
54% |
425
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
682
7.83 IPS |
|
|
Face Detection (F16)
|
97% |
1154
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
1055
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
312
123.4 IPS |
|
|
Text Classification (F16)
|
98% |
283
112.0 IPS |
|
|
Machine Translation (F32)
|
100% |
210
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
206
31.8 IPS |
