| User | PanisSupraOmnia |
| Upload Date | November 02 2024 09:40 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
3192
593.7 IPS |
|
|
Image Classification (Q)
|
99% |
4402
821.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
8179
132.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16777
272.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
404
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
30893
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63903
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (Q)
|
87% |
5303
425.4 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (HP)
|
100% |
20557
244.3 IPS |
|
|
Face Detection (Q)
|
97% |
34875
415.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
31429
242.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
33321
306.7 IPS |
|
|
Style Transfer (SP)
|
100% |
720
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (Q)
|
27% |
189
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8618
318.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14194
526.0 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.2 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.5 IPS |
|
|
Text Classification (Q)
|
92% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.94 IPS |