| User | leow149 |
| Upload Date | July 01 2025 07:27 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
5897
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
6205
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
8995
145.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17992
292.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
31412
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62896
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
4927
390.8 IPS |
|
|
Object Detection (Q)
|
87% |
6393
512.8 IPS |
|
|
Face Detection (SP)
|
100% |
530
6.29 IPS |
|
|
Face Detection (HP)
|
100% |
16208
192.6 IPS |
|
|
Face Detection (Q)
|
97% |
32719
390.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
31457
242.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
37175
342.2 IPS |
|
|
Style Transfer (SP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (Q)
|
72% |
2224
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8935
329.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15700
581.8 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.9 IPS |
|
|
Text Classification (HP)
|
100% |
222
295.8 IPS |
|
|
Text Classification (Q)
|
92% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.16 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.19 IPS |