samsung SM-A166P
Geekbench ML Score
281
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 05:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
514
55.0 IPS |
|
|
Image Classification (I8)
|
80% |
291
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
254
1.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
2.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
607
3.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
565
2.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
252
8.85 IPS |
|
|
Object Detection (F16)
|
99% |
408
14.3 IPS |
|
|
Object Detection (I8)
|
53% |
210
7.38 IPS |
|
|
Face Detection (F32)
|
25% |
477
5.48 IPS |
|
|
Face Detection (F16)
|
25% |
698
8.02 IPS |
|
|
Face Detection (I8)
|
75% |
342
3.93 IPS |
|
|
Text Classification (F32)
|
100% |
135
53.2 IPS |
|
|
Text Classification (F16)
|
100% |
133
52.6 IPS |
|
|
Machine Translation (F32)
|
100% |
158
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
177
27.2 IPS |
