User | xRoach |
Upload Date | January 05 2025 07:30 AM |
Views | 2 |
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% |
254
47.3 IPS |
|
Image Classification (HP)
|
100% |
3839
714.0 IPS |
|
Image Classification (Q)
|
99% |
4279
798.1 IPS |
|
Image Segmentation (SP)
|
100% |
323
5.23 IPS |
|
Image Segmentation (HP)
|
100% |
7850
127.3 IPS |
|
Image Segmentation (Q)
|
98% |
14441
234.8 IPS |
|
Pose Estimation (SP)
|
100% |
386
0.45 IPS |
|
Pose Estimation (HP)
|
100% |
31412
36.7 IPS |
|
Pose Estimation (Q)
|
97% |
62301
73.0 IPS |
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
Object Detection (HP)
|
100% |
4008
317.9 IPS |
|
Object Detection (Q)
|
87% |
4877
391.2 IPS |
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
Face Detection (HP)
|
100% |
18324
217.7 IPS |
|
Face Detection (Q)
|
97% |
31620
377.0 IPS |
|
Depth Estimation (SP)
|
100% |
477
3.68 IPS |
|
Depth Estimation (HP)
|
99% |
31970
246.3 IPS |
|
Depth Estimation (Q)
|
64% |
35577
327.5 IPS |
|
Style Transfer (SP)
|
100% |
715
0.92 IPS |
|
Style Transfer (HP)
|
100% |
736
0.95 IPS |
|
Style Transfer (Q)
|
73% |
2992
4.10 IPS |
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
8922
329.5 IPS |
|
Image Super-Resolution (Q)
|
97% |
13422
497.3 IPS |
|
Text Classification (SP)
|
100% |
329
439.3 IPS |
|
Text Classification (HP)
|
100% |
335
447.7 IPS |
|
Text Classification (Q)
|
92% |
793
1.07 KIPS |
|
Machine Translation (SP)
|
100% |
523
9.01 IPS |
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
Machine Translation (Q)
|
57% |
351
8.59 IPS |