samsung SM-M166P
Geekbench ML Score
136
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:38 PM |
| Views | 1 |
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% |
65
7.00 IPS |
|
|
Image Classification (F16)
|
100% |
65
7.01 IPS |
|
|
Image Classification (I8)
|
81% |
76
8.19 IPS |
|
|
Image Segmentation (F32)
|
100% |
222
1.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
334
2.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
98
3.44 IPS |
|
|
Object Detection (F16)
|
100% |
102
3.58 IPS |
|
|
Object Detection (I8)
|
52% |
144
5.05 IPS |
|
|
Face Detection (F32)
|
100% |
178
2.04 IPS |
|
|
Face Detection (F16)
|
100% |
177
2.03 IPS |
|
|
Face Detection (I8)
|
75% |
197
2.26 IPS |
|
|
Text Classification (F32)
|
100% |
189
74.8 IPS |
|
|
Text Classification (F16)
|
100% |
161
63.8 IPS |
|
|
Machine Translation (F32)
|
100% |
161
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
159
24.5 IPS |
