Upload Date | July 11 2025 07:57 PM |
Views | 4 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
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% |
674
125.3 IPS |
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
Image Classification (Q)
|
97% |
456
85.1 IPS |
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
Image Segmentation (HP)
|
100% |
2275
36.9 IPS |
|
Image Segmentation (Q)
|
98% |
2043
33.2 IPS |
|
Pose Estimation (SP)
|
100% |
5316
6.20 IPS |
|
Pose Estimation (HP)
|
100% |
13521
15.8 IPS |
|
Pose Estimation (Q)
|
95% |
12832
15.0 IPS |
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
Object Detection (HP)
|
99% |
828
65.7 IPS |
|
Object Detection (Q)
|
83% |
1031
83.3 IPS |
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
Face Detection (HP)
|
100% |
3227
38.3 IPS |
|
Face Detection (Q)
|
96% |
2946
35.1 IPS |
|
Depth Estimation (SP)
|
100% |
3632
28.0 IPS |
|
Depth Estimation (HP)
|
98% |
6036
46.6 IPS |
|
Depth Estimation (Q)
|
62% |
4819
45.8 IPS |
|
Style Transfer (SP)
|
100% |
8052
10.4 IPS |
|
Style Transfer (HP)
|
100% |
21332
27.4 IPS |
|
Style Transfer (Q)
|
98% |
19866
25.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
1876
69.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
2332
86.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
2286
84.7 IPS |
|
Text Classification (SP)
|
35% |
19
174.5 IPS |
|
Text Classification (HP)
|
35% |
29
261.5 IPS |
|
Text Classification (Q)
|
32% |
20
261.8 IPS |
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
Machine Translation (HP)
|
100% |
309
5.31 IPS |
|
Machine Translation (Q)
|
43% |
71
4.10 IPS |