samsung SM-A166P
Geekbench ML Score
470
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 17 2025 03:18 AM |
| Views | 7 |
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 | 5.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
302
32.4 IPS |
|
|
Image Classification (F16)
|
100% |
559
59.8 IPS |
|
|
Image Classification (I8)
|
80% |
504
54.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
615
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1160
7.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
1165
7.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
560
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
539
2.18 IPS |
|
|
Object Detection (F32)
|
100% |
291
10.2 IPS |
|
|
Object Detection (F16)
|
100% |
436
15.3 IPS |
|
|
Object Detection (I8)
|
54% |
441
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
662
7.61 IPS |
|
|
Face Detection (F16)
|
97% |
1129
13.0 IPS |
|
|
Face Detection (I8)
|
75% |
1053
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
208
82.2 IPS |
|
|
Text Classification (F16)
|
98% |
295
116.8 IPS |
|
|
Machine Translation (F32)
|
100% |
207
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.2 IPS |
