samsung SM-M166P
Geekbench ML Score
504
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 12:27 AM |
| Views | 3 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
313
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
567
60.8 IPS |
|
|
Image Classification (I8)
|
80% |
539
57.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
604
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
1196
7.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1196
7.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
576
2.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
573
2.32 IPS |
|
|
Object Detection (F32)
|
100% |
298
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
450
15.8 IPS |
|
|
Object Detection (I8)
|
54% |
456
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
686
7.88 IPS |
|
|
Face Detection (F16)
|
97% |
1339
15.4 IPS |
|
|
Face Detection (I8)
|
75% |
1210
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
371
146.8 IPS |
|
|
Text Classification (F16)
|
98% |
338
133.7 IPS |
|
|
Machine Translation (F32)
|
100% |
207
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.4 IPS |
