samsung SM-M166P
Geekbench ML Score
308
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 02:54 PM |
| Views | 1 |
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% |
189
20.3 IPS |
|
|
Image Classification (F16)
|
100% |
531
56.9 IPS |
|
|
Image Classification (I8)
|
80% |
325
34.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
337
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
451
2.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
737
4.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
557
2.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
279
9.77 IPS |
|
|
Object Detection (F16)
|
99% |
451
15.8 IPS |
|
|
Object Detection (I8)
|
53% |
244
8.58 IPS |
|
|
Face Detection (F32)
|
25% |
486
5.58 IPS |
|
|
Face Detection (F16)
|
25% |
702
8.07 IPS |
|
|
Face Detection (I8)
|
75% |
425
4.89 IPS |
|
|
Text Classification (F32)
|
100% |
128
50.6 IPS |
|
|
Text Classification (F16)
|
100% |
114
45.2 IPS |
|
|
Machine Translation (F32)
|
100% |
171
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
164
25.3 IPS |
