samsung SM-M166P
Geekbench ML Score
315
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 03:31 PM |
| Views | 3 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
192
20.6 IPS |
|
|
Image Classification (F16)
|
100% |
534
57.2 IPS |
|
|
Image Classification (I8)
|
80% |
327
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
342
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
460
2.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
712
4.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
557
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
275
9.64 IPS |
|
|
Object Detection (F16)
|
99% |
473
16.6 IPS |
|
|
Object Detection (I8)
|
53% |
241
8.45 IPS |
|
|
Face Detection (F32)
|
25% |
492
5.66 IPS |
|
|
Face Detection (F16)
|
25% |
695
7.98 IPS |
|
|
Face Detection (I8)
|
75% |
462
5.31 IPS |
|
|
Text Classification (F32)
|
100% |
135
53.5 IPS |
|
|
Text Classification (F16)
|
100% |
119
47.1 IPS |
|
|
Machine Translation (F32)
|
100% |
177
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
181
27.8 IPS |
