| User | k9fgt |
| Upload Date | December 22 2025 06:53 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.22 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
8086
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
9934
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
8330
135.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20693
336.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
32217
37.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
65727
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
5466
433.6 IPS |
|
|
Object Detection (Q)
|
87% |
7467
598.9 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
15627
185.7 IPS |
|
|
Face Detection (Q)
|
97% |
34092
406.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
566
4.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
35462
273.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
42597
392.1 IPS |
|
|
Style Transfer (SP)
|
100% |
835
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
845
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2102
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10570
390.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19068
706.6 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.0 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (Q)
|
92% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
421
10.3 IPS |