samsung SM-M166P
Geekbench ML Score
164
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 02:13 AM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
8.01 IPS |
|
|
Image Classification (F16)
|
100% |
78
8.38 IPS |
|
|
Image Classification (I8)
|
81% |
94
10.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
276
1.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
244
1.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
405
2.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
110
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
135
4.74 IPS |
|
|
Object Detection (F16)
|
100% |
130
4.55 IPS |
|
|
Object Detection (I8)
|
52% |
166
5.83 IPS |
|
|
Face Detection (F32)
|
100% |
213
2.45 IPS |
|
|
Face Detection (F16)
|
100% |
228
2.62 IPS |
|
|
Face Detection (I8)
|
75% |
229
2.63 IPS |
|
|
Text Classification (F32)
|
100% |
241
95.3 IPS |
|
|
Text Classification (F16)
|
100% |
237
93.9 IPS |
|
|
Machine Translation (F32)
|
100% |
190
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
191
29.4 IPS |
