Polestar PS4
Geekbench ML Score
385
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 12 2024 10:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Polestar PS4 |
| Model ID | Polestar PS4 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2053 revision 14 |
| Base Frequency | 2.13 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.13 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
187
20.1 IPS |
|
|
Image Classification (F16)
|
100% |
228
24.5 IPS |
|
|
Image Classification (I8)
|
80% |
2042
218.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
605
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
687
4.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
4806
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
330
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
800
3.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
3348
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
392
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
420
14.7 IPS |
|
|
Object Detection (I8)
|
52% |
2152
75.5 IPS |
|
|
Face Detection (F32)
|
100% |
420
4.83 IPS |
|
|
Face Detection (F16)
|
97% |
411
4.72 IPS |
|
|
Face Detection (I8)
|
75% |
3587
41.2 IPS |
|
|
Text Classification (F32)
|
54% |
2
0.70 IPS |
|
|
Text Classification (F16)
|
54% |
2
0.70 IPS |
|
|
Machine Translation (F32)
|
100% |
315
48.5 IPS |
|
|
Machine Translation (F16)
|
100% |
321
49.5 IPS |
