samsung SM-A166P
Geekbench ML Score
494
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 21 2025 12:52 AM |
| Views | 2 |
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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
316
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
578
61.9 IPS |
|
|
Image Classification (I8)
|
80% |
519
55.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
621
3.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
1187
7.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
1182
7.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
550
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
530
2.14 IPS |
|
|
Object Detection (F32)
|
100% |
288
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
435
15.2 IPS |
|
|
Object Detection (I8)
|
54% |
437
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
685
7.87 IPS |
|
|
Face Detection (F16)
|
97% |
1306
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
1167
13.4 IPS |
|
|
Text Classification (F32)
|
100% |
355
140.5 IPS |
|
|
Text Classification (F16)
|
98% |
340
134.5 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.5 IPS |
