samsung SM-M166P
Geekbench ML Score
467
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 04:25 AM |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
311
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.6 IPS |
|
|
Image Classification (I8)
|
80% |
538
57.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
647
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
7.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
1217
7.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
215
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
539
2.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
538
2.18 IPS |
|
|
Object Detection (F32)
|
100% |
273
9.59 IPS |
|
|
Object Detection (F16)
|
100% |
433
15.2 IPS |
|
|
Object Detection (I8)
|
54% |
435
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
634
7.28 IPS |
|
|
Face Detection (F16)
|
97% |
1160
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
1094
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
205
81.2 IPS |
|
|
Text Classification (F16)
|
98% |
300
118.8 IPS |
|
|
Machine Translation (F32)
|
100% |
195
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.5 IPS |
