samsung SM-M166P
Geekbench ML Score
178
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 04:14 PM |
| Views | 3 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
93
9.96 IPS |
|
|
Image Classification (F16)
|
100% |
79
8.51 IPS |
|
|
Image Classification (I8)
|
81% |
129
13.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
321
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
501
3.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
107
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.70 IPS |
|
|
Object Detection (F16)
|
100% |
109
3.81 IPS |
|
|
Object Detection (I8)
|
52% |
214
7.51 IPS |
|
|
Face Detection (F32)
|
100% |
288
3.30 IPS |
|
|
Face Detection (F16)
|
100% |
290
3.33 IPS |
|
|
Face Detection (I8)
|
75% |
327
3.76 IPS |
|
|
Text Classification (F32)
|
100% |
256
101.1 IPS |
|
|
Text Classification (F16)
|
100% |
193
76.5 IPS |
|
|
Machine Translation (F32)
|
100% |
174
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
173
26.7 IPS |
