Upload Date | July 19 2024 04:45 AM |
Views | 3 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Google Pixel 7 |
Model ID | Google Pixel 7 |
Motherboard | panther |
Governor | sched_pixel |
CPU Information | |
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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 | 7.30 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
247
46.2 IPS |
|
Image Classification (F16)
|
100% |
245
45.9 IPS |
|
Image Classification (I8)
|
97% |
242
45.3 IPS |
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
Image Segmentation (F16)
|
100% |
794
13.3 IPS |
|
Image Segmentation (I8)
|
98% |
755
12.6 IPS |
|
Pose Estimation (F32)
|
100% |
438
0.53 IPS |
|
Pose Estimation (F16)
|
100% |
606
0.73 IPS |
|
Pose Estimation (I8)
|
100% |
603
0.73 IPS |
|
Object Detection (F32)
|
100% |
192
14.3 IPS |
|
Object Detection (F16)
|
100% |
258
19.3 IPS |
|
Object Detection (I8)
|
62% |
262
19.6 IPS |
|
Face Detection (F32)
|
100% |
1086
12.9 IPS |
|
Face Detection (F16)
|
98% |
1196
14.2 IPS |
|
Face Detection (I8)
|
86% |
1085
12.9 IPS |
|
Depth Estimation (F32)
|
100% |
755
5.86 IPS |
|
Depth Estimation (F16)
|
100% |
914
7.09 IPS |
|
Depth Estimation (I8)
|
95% |
914
7.09 IPS |
|
Style Transfer (F32)
|
100% |
1970
2.59 IPS |
|
Style Transfer (F16)
|
100% |
2530
3.33 IPS |
|
Style Transfer (I8)
|
98% |
2516
3.31 IPS |
|
Image Super-Resolution (F32)
|
100% |
395
14.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
524
18.7 IPS |
|
Image Super-Resolution (I8)
|
98% |
512
18.3 IPS |
|
Text Classification (F32)
|
100% |
298
428.9 IPS |
|
Text Classification (F16)
|
100% |
299
429.4 IPS |
|
Text Classification (I8)
|
92% |
511
734.6 IPS |
|
Machine Translation (F32)
|
100% |
479
8.82 IPS |
|
Machine Translation (F16)
|
100% |
473
8.70 IPS |
|
Machine Translation (I8)
|
64% |
400
7.37 IPS |