samsung SM-M166P
Geekbench ML Score
148
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 09 2025 03:47 AM |
| 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% |
76
8.17 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.89 IPS |
|
|
Image Classification (I8)
|
81% |
86
9.17 IPS |
|
|
Image Segmentation (F32)
|
100% |
258
1.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
247
1.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
374
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
116
4.08 IPS |
|
|
Object Detection (F16)
|
100% |
106
3.72 IPS |
|
|
Object Detection (I8)
|
52% |
141
4.94 IPS |
|
|
Face Detection (F32)
|
100% |
204
2.35 IPS |
|
|
Face Detection (F16)
|
100% |
176
2.02 IPS |
|
|
Face Detection (I8)
|
75% |
212
2.44 IPS |
|
|
Text Classification (F32)
|
100% |
204
80.5 IPS |
|
|
Text Classification (F16)
|
100% |
227
89.9 IPS |
|
|
Machine Translation (F32)
|
100% |
157
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.2 IPS |
