samsung SM-M166P
Geekbench ML Score
311
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2024 12:50 AM |
| Views | 5 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
541
57.9 IPS |
|
|
Image Classification (I8)
|
80% |
348
37.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
361
2.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
492
3.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
831
5.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
551
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
262
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
291
10.2 IPS |
|
|
Object Detection (F16)
|
99% |
491
17.2 IPS |
|
|
Object Detection (I8)
|
53% |
287
10.1 IPS |
|
|
Face Detection (F32)
|
25% |
489
5.62 IPS |
|
|
Face Detection (F16)
|
25% |
680
7.81 IPS |
|
|
Face Detection (I8)
|
75% |
441
5.06 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.8 IPS |
|
|
Text Classification (F16)
|
100% |
105
41.5 IPS |
|
|
Machine Translation (F32)
|
100% |
132
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
132
20.3 IPS |
