samsung SM-M166P
Geekbench ML Score
271
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 21 2025 06:21 PM |
| 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 | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
184
19.7 IPS |
|
|
Image Classification (F16)
|
100% |
374
40.0 IPS |
|
|
Image Classification (I8)
|
80% |
273
29.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
310
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
410
2.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
666
4.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
559
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
227
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
265
9.31 IPS |
|
|
Object Detection (F16)
|
99% |
401
14.1 IPS |
|
|
Object Detection (I8)
|
53% |
216
7.57 IPS |
|
|
Face Detection (F32)
|
25% |
459
5.28 IPS |
|
|
Face Detection (F16)
|
25% |
634
7.29 IPS |
|
|
Face Detection (I8)
|
75% |
406
4.67 IPS |
|
|
Text Classification (F32)
|
100% |
80
31.6 IPS |
|
|
Text Classification (F16)
|
100% |
69
27.4 IPS |
|
|
Machine Translation (F32)
|
100% |
146
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
165
25.5 IPS |
