samsung SM-M166P
Geekbench ML Score
462
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 06:42 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
552
59.2 IPS |
|
|
Image Classification (I8)
|
80% |
525
56.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
3.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
1212
7.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
1220
7.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
215
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
554
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
550
2.23 IPS |
|
|
Object Detection (F32)
|
100% |
284
9.98 IPS |
|
|
Object Detection (F16)
|
100% |
440
15.5 IPS |
|
|
Object Detection (I8)
|
54% |
431
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
647
7.43 IPS |
|
|
Face Detection (F16)
|
97% |
1211
13.9 IPS |
|
|
Face Detection (I8)
|
75% |
1092
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
207
81.9 IPS |
|
|
Text Classification (F16)
|
98% |
299
118.3 IPS |
|
|
Machine Translation (F32)
|
100% |
166
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
166
25.6 IPS |
