| User | xRoach |
| Upload Date | August 23 2025 09:06 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.92 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
3161
587.9 IPS |
|
|
Image Classification (Q)
|
99% |
6587
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
7229
117.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15285
248.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
30726
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61045
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
3797
301.2 IPS |
|
|
Object Detection (Q)
|
87% |
4893
392.5 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
12781
151.9 IPS |
|
|
Face Detection (Q)
|
97% |
26679
318.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
29290
225.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
32862
302.5 IPS |
|
|
Style Transfer (SP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
745
0.96 IPS |
|
|
Style Transfer (Q)
|
73% |
3022
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8321
307.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12584
466.3 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.1 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.6 IPS |
|
|
Text Classification (Q)
|
92% |
941
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.48 IPS |