samsung SM-M166P
Geekbench ML Score
453
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 04:31 PM |
| Views | 7 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
296
31.7 IPS |
|
|
Image Classification (F16)
|
100% |
500
53.6 IPS |
|
|
Image Classification (I8)
|
80% |
483
51.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
3.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
7.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
1148
7.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
230
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
538
2.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
516
2.09 IPS |
|
|
Object Detection (F32)
|
100% |
270
9.46 IPS |
|
|
Object Detection (F16)
|
100% |
418
14.7 IPS |
|
|
Object Detection (I8)
|
54% |
415
14.5 IPS |
|
|
Face Detection (F32)
|
100% |
621
7.13 IPS |
|
|
Face Detection (F16)
|
97% |
1192
13.7 IPS |
|
|
Face Detection (I8)
|
75% |
1028
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
222
87.7 IPS |
|
|
Text Classification (F16)
|
98% |
261
103.4 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |
