| User | hass |
| Upload Date | September 05 2024 03:30 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
3793
705.4 IPS |
|
|
Image Classification (Q)
|
99% |
4316
805.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
8667
140.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20320
330.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
434
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
30905
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
61948
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
4429
351.3 IPS |
|
|
Object Detection (Q)
|
90% |
6002
479.8 IPS |
|
|
Face Detection (SP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (HP)
|
100% |
12757
151.6 IPS |
|
|
Face Detection (Q)
|
97% |
28462
339.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
30842
237.6 IPS |
|
|
Depth Estimation (Q)
|
70% |
36346
306.2 IPS |
|
|
Style Transfer (SP)
|
100% |
858
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
844
1.09 IPS |
|
|
Style Transfer (Q)
|
27% |
208
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8445
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14625
541.9 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.8 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.5 IPS |
|
|
Text Classification (Q)
|
92% |
925
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.76 IPS |