User | navtiidia |
Upload Date | August 01 2024 08:37 PM |
Views | 4 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Google Pixel Fold |
Model ID | Google Pixel Fold |
Motherboard | felix |
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 |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
373
69.9 IPS |
|
Image Classification (F16)
|
100% |
382
71.5 IPS |
|
Image Classification (I8)
|
97% |
761
142.4 IPS |
|
Image Segmentation (F32)
|
100% |
459
7.67 IPS |
|
Image Segmentation (F16)
|
100% |
460
7.69 IPS |
|
Image Segmentation (I8)
|
98% |
743
12.4 IPS |
|
Pose Estimation (F32)
|
100% |
817
0.99 IPS |
|
Pose Estimation (F16)
|
100% |
789
0.95 IPS |
|
Pose Estimation (I8)
|
100% |
4007
4.85 IPS |
|
Object Detection (F32)
|
100% |
388
29.0 IPS |
|
Object Detection (F16)
|
100% |
394
29.4 IPS |
|
Object Detection (I8)
|
61% |
862
64.4 IPS |
|
Face Detection (F32)
|
100% |
728
8.66 IPS |
|
Face Detection (F16)
|
100% |
735
8.74 IPS |
|
Face Detection (I8)
|
86% |
1692
20.1 IPS |
|
Depth Estimation (F32)
|
100% |
712
5.52 IPS |
|
Depth Estimation (F16)
|
100% |
660
5.12 IPS |
|
Depth Estimation (I8)
|
95% |
1470
11.4 IPS |
|
Style Transfer (F32)
|
100% |
1315
1.73 IPS |
|
Style Transfer (F16)
|
100% |
1489
1.96 IPS |
|
Style Transfer (I8)
|
98% |
3080
4.05 IPS |
|
Image Super-Resolution (F32)
|
100% |
571
20.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
569
20.3 IPS |
|
Image Super-Resolution (I8)
|
98% |
2194
78.4 IPS |
|
Text Classification (F32)
|
100% |
525
755.2 IPS |
|
Text Classification (F16)
|
100% |
547
785.5 IPS |
|
Text Classification (I8)
|
92% |
547
786.2 IPS |
|
Machine Translation (F32)
|
100% |
907
16.7 IPS |
|
Machine Translation (F16)
|
100% |
885
16.3 IPS |
|
Machine Translation (I8)
|
64% |
407
7.48 IPS |