samsung SM-A166P
Geekbench ML Score
191
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 08 2025 03:17 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A166P |
| Model ID | samsung SM-A166P |
| Motherboard | a16xm |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.62 IPS |
|
|
Image Classification (F16)
|
100% |
87
9.33 IPS |
|
|
Image Classification (I8)
|
81% |
130
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
335
2.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
327
2.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
476
2.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
144
5.05 IPS |
|
|
Object Detection (F16)
|
100% |
142
4.99 IPS |
|
|
Object Detection (I8)
|
52% |
202
7.08 IPS |
|
|
Face Detection (F32)
|
100% |
291
3.34 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.31 IPS |
|
|
Face Detection (I8)
|
75% |
300
3.45 IPS |
|
|
Text Classification (F32)
|
100% |
240
94.9 IPS |
|
|
Text Classification (F16)
|
100% |
238
94.2 IPS |
|
|
Machine Translation (F32)
|
100% |
193
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.4 IPS |
