samsung SM-M166P
Geekbench ML Score
477
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 03:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
299
32.1 IPS |
|
|
Image Classification (F16)
|
100% |
532
57.0 IPS |
|
|
Image Classification (I8)
|
80% |
502
53.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
639
3.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
1186
7.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
1160
7.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
224
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
568
2.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
565
2.29 IPS |
|
|
Object Detection (F32)
|
100% |
289
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
442
15.5 IPS |
|
|
Object Detection (I8)
|
54% |
428
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
667
7.66 IPS |
|
|
Face Detection (F16)
|
97% |
1155
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
1031
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
273
108.1 IPS |
|
|
Text Classification (F16)
|
98% |
306
120.8 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
|
Machine Translation (F16)
|
100% |
210
32.4 IPS |
