samsung SM-M166P
Geekbench ML Score
321
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 04:36 AM |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
185
19.9 IPS |
|
|
Image Classification (F16)
|
100% |
483
51.8 IPS |
|
|
Image Classification (I8)
|
80% |
394
42.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
355
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
489
3.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
906
5.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
547
2.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
299
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
282
9.89 IPS |
|
|
Object Detection (F16)
|
99% |
472
16.6 IPS |
|
|
Object Detection (I8)
|
53% |
275
9.66 IPS |
|
|
Face Detection (F32)
|
25% |
479
5.50 IPS |
|
|
Face Detection (F16)
|
25% |
665
7.64 IPS |
|
|
Face Detection (I8)
|
75% |
531
6.10 IPS |
|
|
Text Classification (F32)
|
100% |
95
37.7 IPS |
|
|
Text Classification (F16)
|
100% |
97
38.3 IPS |
|
|
Machine Translation (F32)
|
100% |
195
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
172
26.5 IPS |
