| User | 46fy45 |
| Upload Date | December 29 2025 12:27 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| 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 | 11.17 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
5591
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8604
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
5243
85.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9351
152.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37976
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
3972
315.1 IPS |
|
|
Object Detection (Q)
|
87% |
5628
451.5 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
26354
314.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
289
2.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
18190
140.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27477
252.9 IPS |
|
|
Style Transfer (SP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (Q)
|
57% |
2010
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11133
412.5 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.4 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (Q)
|
92% |
2230
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |