samsung SM-A166P
Geekbench ML Score
311
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 03:14 PM |
| Views | 6 |
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 | 5.34 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% |
517
55.4 IPS |
|
|
Image Classification (I8)
|
80% |
345
36.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
343
2.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
467
2.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
771
4.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
543
2.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
226
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
280
9.82 IPS |
|
|
Object Detection (F16)
|
99% |
456
16.0 IPS |
|
|
Object Detection (I8)
|
53% |
255
8.95 IPS |
|
|
Face Detection (F32)
|
25% |
475
5.46 IPS |
|
|
Face Detection (F16)
|
25% |
678
7.79 IPS |
|
|
Face Detection (I8)
|
75% |
446
5.12 IPS |
|
|
Text Classification (F32)
|
100% |
124
49.2 IPS |
|
|
Text Classification (F16)
|
100% |
115
45.3 IPS |
|
|
Machine Translation (F32)
|
100% |
165
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
173
26.7 IPS |
