| User | gnu08 |
| Upload Date | March 10 2026 10:34 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro XL |
| Model ID | Google Pixel 10 Pro XL |
| Motherboard | mustang |
| 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 | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
1776
330.2 IPS |
|
|
Image Classification (Q)
|
99% |
3866
721.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4145
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4407
5.14 IPS |
|
|
Pose Estimation (HP)
|
92% |
8698
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10412
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1958
155.8 IPS |
|
|
Object Detection (HP)
|
97% |
1471
117.1 IPS |
|
|
Object Detection (Q)
|
85% |
3193
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (Q)
|
97% |
8186
97.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3773
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6243
48.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7365
67.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10091
13.1 IPS |
|
|
Style Transfer (HP)
|
88% |
10170
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19105
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3703
137.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5390
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (Q)
|
93% |
1359
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1824
31.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1132
30.4 IPS |