Polestar PS4
Geekbench ML Score
837
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 12 2024 10:08 AM |
| Views | 2 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
755
80.9 IPS |
|
|
Image Classification (F16)
|
100% |
716
76.7 IPS |
|
|
Image Classification (I8)
|
80% |
662
71.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1404
8.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
2163
13.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
2293
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
858
3.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
1548
6.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
1551
6.27 IPS |
|
|
Object Detection (F32)
|
100% |
566
19.8 IPS |
|
|
Object Detection (F16)
|
99% |
744
26.1 IPS |
|
|
Object Detection (I8)
|
53% |
701
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1404
16.1 IPS |
|
|
Face Detection (F16)
|
97% |
1600
18.4 IPS |
|
|
Face Detection (I8)
|
76% |
1696
19.5 IPS |
|
|
Text Classification (F32)
|
100% |
234
92.5 IPS |
|
|
Text Classification (F16)
|
98% |
266
105.2 IPS |
|
|
Machine Translation (F32)
|
100% |
311
48.0 IPS |
|
|
Machine Translation (F16)
|
100% |
305
47.0 IPS |
