samsung SM-A166P
Geekbench ML Score
396
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 20 2024 06:55 AM |
| Views | 1 |
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 | 5.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
247
26.5 IPS |
|
|
Image Classification (F16)
|
100% |
448
48.0 IPS |
|
|
Image Classification (I8)
|
80% |
433
46.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
505
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
932
5.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
190
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
419
1.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
412
1.67 IPS |
|
|
Object Detection (F32)
|
100% |
228
7.99 IPS |
|
|
Object Detection (F16)
|
100% |
370
13.0 IPS |
|
|
Object Detection (I8)
|
54% |
361
12.7 IPS |
|
|
Face Detection (F32)
|
100% |
514
5.91 IPS |
|
|
Face Detection (F16)
|
97% |
972
11.2 IPS |
|
|
Face Detection (I8)
|
75% |
957
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
202
80.0 IPS |
|
|
Text Classification (F16)
|
98% |
298
117.8 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
192
29.6 IPS |
