samsung SM-M166P
Geekbench ML Score
388
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 04:22 PM |
| Views | 5 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
200
21.5 IPS |
|
|
Image Classification (F16)
|
100% |
592
63.5 IPS |
|
|
Image Classification (I8)
|
80% |
580
62.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
392
2.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
545
3.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1123
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
571
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
371
1.50 IPS |
|
|
Object Detection (F32)
|
100% |
292
10.3 IPS |
|
|
Object Detection (F16)
|
99% |
492
17.3 IPS |
|
|
Object Detection (I8)
|
53% |
263
9.23 IPS |
|
|
Face Detection (F32)
|
25% |
533
6.12 IPS |
|
|
Face Detection (F16)
|
25% |
760
8.73 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.33 IPS |
|
|
Text Classification (F32)
|
100% |
186
73.5 IPS |
|
|
Text Classification (F16)
|
100% |
179
70.9 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
208
32.1 IPS |
