samsung SM-M166P
Geekbench ML Score
497
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 05:05 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
326
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
592
63.5 IPS |
|
|
Image Classification (I8)
|
80% |
564
60.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
1215
7.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
1223
7.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
217
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
551
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
554
2.24 IPS |
|
|
Object Detection (F32)
|
100% |
294
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
462
16.2 IPS |
|
|
Object Detection (I8)
|
54% |
441
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
690
7.93 IPS |
|
|
Face Detection (F16)
|
97% |
1326
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
1185
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
408
161.3 IPS |
|
|
Text Classification (F16)
|
98% |
343
135.6 IPS |
|
|
Machine Translation (F32)
|
100% |
162
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
170
26.2 IPS |
