samsung SM-M166P
Geekbench ML Score
178
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 01:31 PM |
| Views | 3 |
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% |
86
9.20 IPS |
|
|
Image Classification (F16)
|
100% |
85
9.13 IPS |
|
|
Image Classification (I8)
|
81% |
119
12.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
1.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
508
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
130
4.55 IPS |
|
|
Object Detection (F16)
|
100% |
95
3.35 IPS |
|
|
Object Detection (I8)
|
52% |
191
6.71 IPS |
|
|
Face Detection (F32)
|
100% |
248
2.85 IPS |
|
|
Face Detection (F16)
|
100% |
273
3.13 IPS |
|
|
Face Detection (I8)
|
75% |
273
3.14 IPS |
|
|
Text Classification (F32)
|
100% |
244
96.4 IPS |
|
|
Text Classification (F16)
|
100% |
234
92.6 IPS |
|
|
Machine Translation (F32)
|
100% |
165
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.4 IPS |
