samsung SM-M166P
Geekbench ML Score
220
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 05:39 PM |
| Views | 4 |
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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
94
10.0 IPS |
|
|
Image Classification (F16)
|
100% |
98
10.5 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
367
2.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
345
2.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
594
3.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
138
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
169
5.92 IPS |
|
|
Object Detection (F16)
|
100% |
170
5.97 IPS |
|
|
Object Detection (I8)
|
52% |
253
8.89 IPS |
|
|
Face Detection (F32)
|
100% |
312
3.59 IPS |
|
|
Face Detection (F16)
|
100% |
297
3.42 IPS |
|
|
Face Detection (I8)
|
75% |
366
4.20 IPS |
|
|
Text Classification (F32)
|
100% |
289
114.4 IPS |
|
|
Text Classification (F16)
|
100% |
339
134.0 IPS |
|
|
Machine Translation (F32)
|
100% |
216
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
210
32.4 IPS |
