samsung SM-M166P
Geekbench ML Score
341
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 19 2024 11:26 PM |
| Views | 1 |
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% |
190
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.5 IPS |
|
|
Image Classification (I8)
|
80% |
378
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
353
2.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
491
3.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
831
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
561
2.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
289
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
291
10.2 IPS |
|
|
Object Detection (F16)
|
99% |
511
17.9 IPS |
|
|
Object Detection (I8)
|
53% |
274
9.62 IPS |
|
|
Face Detection (F32)
|
25% |
485
5.57 IPS |
|
|
Face Detection (F16)
|
25% |
704
8.08 IPS |
|
|
Face Detection (I8)
|
75% |
509
5.85 IPS |
|
|
Text Classification (F32)
|
100% |
141
55.8 IPS |
|
|
Text Classification (F16)
|
100% |
133
52.6 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.7 IPS |
