Polestar PS4
Geekbench ML Score
272
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 12 2024 10:04 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
258
27.6 IPS |
|
|
Image Classification (F16)
|
100% |
255
27.3 IPS |
|
|
Image Classification (I8)
|
81% |
116
12.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
389
2.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
2.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
609
3.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
165
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
164
0.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
171
0.69 IPS |
|
|
Object Detection (F32)
|
100% |
380
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
386
13.5 IPS |
|
|
Object Detection (I8)
|
52% |
227
7.97 IPS |
|
|
Face Detection (F32)
|
100% |
331
3.80 IPS |
|
|
Face Detection (F16)
|
100% |
331
3.80 IPS |
|
|
Face Detection (I8)
|
75% |
345
3.96 IPS |
|
|
Text Classification (F32)
|
100% |
214
84.8 IPS |
|
|
Text Classification (F16)
|
100% |
213
84.3 IPS |
|
|
Machine Translation (F32)
|
100% |
318
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
318
49.0 IPS |
