samsung SM-M166P
Geekbench ML Score
188
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 06:57 PM |
| 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% |
86
9.19 IPS |
|
|
Image Classification (F16)
|
100% |
84
9.01 IPS |
|
|
Image Classification (I8)
|
81% |
117
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
315
1.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
345
2.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
489
3.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.03 IPS |
|
|
Object Detection (F16)
|
100% |
149
5.24 IPS |
|
|
Object Detection (I8)
|
52% |
211
7.41 IPS |
|
|
Face Detection (F32)
|
100% |
269
3.10 IPS |
|
|
Face Detection (F16)
|
100% |
277
3.19 IPS |
|
|
Face Detection (I8)
|
75% |
284
3.26 IPS |
|
|
Text Classification (F32)
|
100% |
245
96.8 IPS |
|
|
Text Classification (F16)
|
100% |
238
94.0 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
178
27.5 IPS |
