samsung SM-M166P
Geekbench ML Score
275
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 09 2025 06:24 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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
180
19.3 IPS |
|
|
Image Classification (F16)
|
100% |
388
41.5 IPS |
|
|
Image Classification (I8)
|
80% |
292
31.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
445
2.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
701
4.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
546
2.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
266
9.33 IPS |
|
|
Object Detection (F16)
|
99% |
427
15.0 IPS |
|
|
Object Detection (I8)
|
53% |
217
7.63 IPS |
|
|
Face Detection (F32)
|
25% |
460
5.28 IPS |
|
|
Face Detection (F16)
|
25% |
632
7.26 IPS |
|
|
Face Detection (I8)
|
75% |
406
4.67 IPS |
|
|
Text Classification (F32)
|
100% |
76
30.2 IPS |
|
|
Text Classification (F16)
|
100% |
66
26.0 IPS |
|
|
Machine Translation (F32)
|
100% |
151
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
153
23.6 IPS |
