| User | Zipperok |
| Upload Date | October 23 2025 05:33 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
5545
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8527
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
5455
88.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9364
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20903
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38087
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
4705
373.2 IPS |
|
|
Object Detection (Q)
|
87% |
6515
522.6 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.69 IPS |
|
|
Face Detection (HP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (Q)
|
97% |
30732
366.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
313
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
22826
175.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33459
308.0 IPS |
|
|
Style Transfer (SP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (Q)
|
58% |
2010
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6256
231.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13586
503.4 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.6 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (Q)
|
92% |
2484
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |