samsung SM-M166P
Geekbench ML Score
189
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 02:44 PM |
| Views | 6 |
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% |
86
9.26 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.20 IPS |
|
|
Image Classification (I8)
|
81% |
116
12.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
316
1.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
2.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
494
3.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
146
5.11 IPS |
|
|
Object Detection (F16)
|
100% |
139
4.89 IPS |
|
|
Object Detection (I8)
|
52% |
182
6.40 IPS |
|
|
Face Detection (F32)
|
100% |
283
3.25 IPS |
|
|
Face Detection (F16)
|
100% |
280
3.22 IPS |
|
|
Face Detection (I8)
|
75% |
289
3.32 IPS |
|
|
Text Classification (F32)
|
100% |
259
102.6 IPS |
|
|
Text Classification (F16)
|
100% |
257
101.8 IPS |
|
|
Machine Translation (F32)
|
100% |
195
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.2 IPS |
