samsung SM-M166P
Geekbench ML Score
317
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 04:33 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
583
62.5 IPS |
|
|
Image Classification (I8)
|
80% |
484
51.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
353
2.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
469
2.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
750
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
559
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
222
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
274
9.61 IPS |
|
|
Object Detection (F16)
|
99% |
445
15.6 IPS |
|
|
Object Detection (I8)
|
53% |
235
8.26 IPS |
|
|
Face Detection (F32)
|
25% |
486
5.59 IPS |
|
|
Face Detection (F16)
|
25% |
687
7.90 IPS |
|
|
Face Detection (I8)
|
75% |
423
4.85 IPS |
|
|
Text Classification (F32)
|
100% |
123
48.8 IPS |
|
|
Text Classification (F16)
|
100% |
111
43.9 IPS |
|
|
Machine Translation (F32)
|
100% |
172
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
165
25.4 IPS |
