samsung SM-A166P
Geekbench ML Score
377
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 03:19 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
200
21.4 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.7 IPS |
|
|
Image Classification (I8)
|
80% |
560
60.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
386
2.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
532
3.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1090
6.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
558
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
338
1.37 IPS |
|
|
Object Detection (F32)
|
100% |
306
10.7 IPS |
|
|
Object Detection (F16)
|
99% |
494
17.3 IPS |
|
|
Object Detection (I8)
|
53% |
411
14.4 IPS |
|
|
Face Detection (F32)
|
25% |
534
6.14 IPS |
|
|
Face Detection (F16)
|
25% |
754
8.67 IPS |
|
|
Face Detection (I8)
|
75% |
466
5.35 IPS |
|
|
Text Classification (F32)
|
100% |
179
70.9 IPS |
|
|
Text Classification (F16)
|
100% |
173
68.2 IPS |
|
|
Machine Translation (F32)
|
100% |
194
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
192
29.6 IPS |
