| User | Alan156 |
| Upload Date | October 25 2025 05:15 PM |
| Views | 2 |
| 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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
5544
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8479
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
5304
86.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9300
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
20905
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38107
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
4753
377.0 IPS |
|
|
Object Detection (Q)
|
87% |
6743
540.9 IPS |
|
|
Face Detection (SP)
|
100% |
402
4.78 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.83 IPS |
|
|
Face Detection (Q)
|
97% |
30755
366.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
22830
175.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33407
307.5 IPS |
|
|
Style Transfer (SP)
|
100% |
551
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
58% |
2160
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6234
230.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13557
502.4 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.3 IPS |
|
|
Text Classification (HP)
|
100% |
218
291.6 IPS |
|
|
Text Classification (Q)
|
92% |
2462
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.07 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.24 IPS |