| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:15 AM |
| Views | 9 |
| 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% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
3598
669.2 IPS |
|
|
Image Classification (Q)
|
99% |
4636
864.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
7655
124.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19582
318.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31002
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
63502
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (Q)
|
90% |
6025
481.7 IPS |
|
|
Face Detection (SP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
14757
175.3 IPS |
|
|
Face Detection (Q)
|
97% |
27372
326.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
28955
223.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
40948
344.9 IPS |
|
|
Style Transfer (SP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
720
0.93 IPS |
|
|
Style Transfer (Q)
|
27% |
178
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7140
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13583
503.3 IPS |
|
|
Text Classification (SP)
|
100% |
377
502.8 IPS |
|
|
Text Classification (HP)
|
100% |
378
505.0 IPS |
|
|
Text Classification (Q)
|
92% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.07 IPS |