samsung SM-M166P
Geekbench ML Score
348
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 10:13 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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
490
52.5 IPS |
|
|
Image Classification (I8)
|
80% |
431
46.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
364
2.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
508
3.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
992
6.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
548
2.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
301
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
287
10.1 IPS |
|
|
Object Detection (F16)
|
99% |
466
16.3 IPS |
|
|
Object Detection (I8)
|
53% |
406
14.2 IPS |
|
|
Face Detection (F32)
|
25% |
494
5.68 IPS |
|
|
Face Detection (F16)
|
25% |
681
7.82 IPS |
|
|
Face Detection (I8)
|
75% |
819
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
111
43.9 IPS |
|
|
Text Classification (F16)
|
100% |
98
38.8 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
|
Machine Translation (F16)
|
100% |
205
31.5 IPS |
