samsung SM-A166P
Geekbench ML Score
393
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 03:19 AM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
203
21.7 IPS |
|
|
Image Classification (F16)
|
100% |
583
62.4 IPS |
|
|
Image Classification (I8)
|
80% |
570
61.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
390
2.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
548
3.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1119
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
558
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
342
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
322
11.3 IPS |
|
|
Object Detection (F16)
|
99% |
536
18.8 IPS |
|
|
Object Detection (I8)
|
53% |
394
13.8 IPS |
|
|
Face Detection (F32)
|
25% |
534
6.13 IPS |
|
|
Face Detection (F16)
|
25% |
764
8.77 IPS |
|
|
Face Detection (I8)
|
75% |
695
7.98 IPS |
|
|
Text Classification (F32)
|
100% |
185
73.1 IPS |
|
|
Text Classification (F16)
|
100% |
182
72.0 IPS |
|
|
Machine Translation (F32)
|
100% |
193
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
205
31.5 IPS |
