samsung SM-M166P
Geekbench ML Score
335
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.6 IPS |
|
|
Image Classification (F16)
|
100% |
527
56.5 IPS |
|
|
Image Classification (I8)
|
80% |
409
43.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
370
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
493
3.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
983
6.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
555
2.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
260
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
286
10.0 IPS |
|
|
Object Detection (F16)
|
99% |
479
16.8 IPS |
|
|
Object Detection (I8)
|
53% |
283
9.95 IPS |
|
|
Face Detection (F32)
|
25% |
476
5.47 IPS |
|
|
Face Detection (F16)
|
25% |
683
7.84 IPS |
|
|
Face Detection (I8)
|
75% |
489
5.61 IPS |
|
|
Text Classification (F32)
|
100% |
136
53.7 IPS |
|
|
Text Classification (F16)
|
100% |
131
52.0 IPS |
|
|
Machine Translation (F32)
|
100% |
178
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
192
29.6 IPS |
