| Upload Date | January 11 2026 04:03 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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 | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
4317
805.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
10300
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
2359
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
2397
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (HP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (Q)
|
97% |
17420
207.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
26480
204.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
34142
314.3 IPS |
|
|
Style Transfer (SP)
|
100% |
852
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
4195
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8639
319.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12110
448.7 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.6 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.0 IPS |
|
|
Text Classification (Q)
|
91% |
185
248.2 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.68 IPS |