| User | PanisSupraOmnia |
| Upload Date | August 22 2024 07:01 PM |
| Views | 4 |
| 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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
3522
654.9 IPS |
|
|
Image Classification (Q)
|
99% |
4839
902.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
9085
147.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17845
290.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
31338
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62690
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
4722
374.5 IPS |
|
|
Object Detection (Q)
|
90% |
5806
464.2 IPS |
|
|
Face Detection (SP)
|
100% |
427
5.08 IPS |
|
|
Face Detection (HP)
|
100% |
17099
203.2 IPS |
|
|
Face Detection (Q)
|
97% |
29850
355.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
30928
238.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
37004
311.7 IPS |
|
|
Style Transfer (SP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
691
0.89 IPS |
|
|
Style Transfer (Q)
|
27% |
194
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9010
332.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17347
642.8 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.2 IPS |
|
|
Text Classification (HP)
|
100% |
337
450.2 IPS |
|
|
Text Classification (Q)
|
92% |
894
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
57% |
294
7.19 IPS |