samsung SM-M166P
Geekbench ML Score
391
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 06:10 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
196
21.0 IPS |
|
|
Image Classification (F16)
|
100% |
618
66.2 IPS |
|
|
Image Classification (I8)
|
80% |
622
66.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
379
2.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
534
3.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1095
6.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
566
2.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
346
1.40 IPS |
|
|
Object Detection (F32)
|
100% |
307
10.8 IPS |
|
|
Object Detection (F16)
|
99% |
525
18.4 IPS |
|
|
Object Detection (I8)
|
53% |
393
13.8 IPS |
|
|
Face Detection (F32)
|
25% |
518
5.95 IPS |
|
|
Face Detection (F16)
|
25% |
745
8.56 IPS |
|
|
Face Detection (I8)
|
75% |
718
8.25 IPS |
|
|
Text Classification (F32)
|
100% |
181
71.6 IPS |
|
|
Text Classification (F16)
|
100% |
173
68.3 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |
