samsung SM-M166P
Geekbench ML Score
171
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 26 2025 10:37 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
85
9.13 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.20 IPS |
|
|
Image Classification (I8)
|
81% |
98
10.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
280
1.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
273
1.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
459
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
138
4.83 IPS |
|
|
Object Detection (F16)
|
100% |
142
4.97 IPS |
|
|
Object Detection (I8)
|
52% |
194
6.80 IPS |
|
|
Face Detection (F32)
|
100% |
275
3.16 IPS |
|
|
Face Detection (F16)
|
100% |
284
3.27 IPS |
|
|
Face Detection (I8)
|
75% |
244
2.80 IPS |
|
|
Text Classification (F32)
|
100% |
168
66.5 IPS |
|
|
Text Classification (F16)
|
100% |
190
75.1 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.9 IPS |
