samsung SM-M166P
Geekbench ML Score
315
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 06:09 PM |
| Views | 3 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.7 IPS |
|
|
Image Classification (F16)
|
100% |
549
58.8 IPS |
|
|
Image Classification (I8)
|
80% |
323
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
447
2.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
714
4.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
559
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
229
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
280
9.83 IPS |
|
|
Object Detection (F16)
|
99% |
472
16.6 IPS |
|
|
Object Detection (I8)
|
53% |
250
8.78 IPS |
|
|
Face Detection (F32)
|
25% |
495
5.69 IPS |
|
|
Face Detection (F16)
|
25% |
696
8.00 IPS |
|
|
Face Detection (I8)
|
75% |
429
4.92 IPS |
|
|
Text Classification (F32)
|
100% |
121
47.7 IPS |
|
|
Text Classification (F16)
|
100% |
118
46.7 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.2 IPS |
