samsung SM-A166P
Geekbench ML Score
166
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:20 PM |
| Views | 1 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
81
8.68 IPS |
|
|
Image Classification (F16)
|
100% |
81
8.69 IPS |
|
|
Image Classification (I8)
|
81% |
98
10.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
275
1.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
279
1.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
418
2.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
124
4.36 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.45 IPS |
|
|
Object Detection (I8)
|
52% |
160
5.61 IPS |
|
|
Face Detection (F32)
|
100% |
222
2.55 IPS |
|
|
Face Detection (F16)
|
100% |
219
2.51 IPS |
|
|
Face Detection (I8)
|
75% |
245
2.82 IPS |
|
|
Text Classification (F32)
|
100% |
208
82.1 IPS |
|
|
Text Classification (F16)
|
100% |
199
78.7 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
194
29.8 IPS |
