samsung SM-M166P
Geekbench ML Score
462
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 05:27 PM |
| Views | 2 |
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% |
293
31.4 IPS |
|
|
Image Classification (F16)
|
100% |
507
54.3 IPS |
|
|
Image Classification (I8)
|
80% |
470
50.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
1175
7.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1184
7.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
497
2.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
517
2.09 IPS |
|
|
Object Detection (F32)
|
100% |
268
9.40 IPS |
|
|
Object Detection (F16)
|
100% |
420
14.8 IPS |
|
|
Object Detection (I8)
|
54% |
417
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
626
7.19 IPS |
|
|
Face Detection (F16)
|
97% |
1125
12.9 IPS |
|
|
Face Detection (I8)
|
75% |
989
11.4 IPS |
|
|
Text Classification (F32)
|
100% |
234
92.4 IPS |
|
|
Text Classification (F16)
|
98% |
391
154.5 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
201
31.0 IPS |
