| User | aaaaaaaaaa |
| Upload Date | August 16 2024 01:12 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.20 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
5490
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8304
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
5285
85.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9274
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
348
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
20875
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37774
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
4712
373.8 IPS |
|
|
Object Detection (Q)
|
90% |
6596
527.3 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (Q)
|
97% |
30332
361.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
22757
175.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
36713
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
679
0.87 IPS |
|
|
Style Transfer (Q)
|
28% |
197
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6477
239.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14291
529.5 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.7 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.3 IPS |
|
|
Text Classification (Q)
|
92% |
2416
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.48 IPS |