samsung SM-M166P
Geekbench ML Score
184
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 10:06 PM |
| Views | 5 |
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% |
84
9.05 IPS |
|
|
Image Classification (F16)
|
100% |
85
9.11 IPS |
|
|
Image Classification (I8)
|
81% |
104
11.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
300
1.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
462
2.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
146
5.11 IPS |
|
|
Object Detection (F16)
|
100% |
142
4.98 IPS |
|
|
Object Detection (I8)
|
52% |
175
6.13 IPS |
|
|
Face Detection (F32)
|
100% |
257
2.96 IPS |
|
|
Face Detection (F16)
|
100% |
258
2.97 IPS |
|
|
Face Detection (I8)
|
75% |
277
3.18 IPS |
|
|
Text Classification (F32)
|
100% |
269
106.6 IPS |
|
|
Text Classification (F16)
|
100% |
248
98.2 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |
