Upload Date | July 18 2024 08:44 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 14 |
Model | nubia NX769J |
Model ID | nubia NX769J |
Motherboard | pineapple |
Governor | walt |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.26 GHz |
Cluster 1 | 2 Cores @ 2.27 GHz |
Cluster 2 | 2 Cores @ 2.96 GHz |
Cluster 3 | 3 Cores @ 3.15 GHz |
Cluster 4 | 1 Core @ 3.30 GHz |
Memory Information | |
---|---|
Size | 14.99 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
544
101.8 IPS |
|
Image Classification (F16)
|
100% |
545
101.9 IPS |
|
Image Classification (I8)
|
97% |
876
163.9 IPS |
|
Image Segmentation (F32)
|
100% |
708
11.8 IPS |
|
Image Segmentation (F16)
|
100% |
712
11.9 IPS |
|
Image Segmentation (I8)
|
98% |
640
10.7 IPS |
|
Pose Estimation (F32)
|
100% |
1392
1.69 IPS |
|
Pose Estimation (F16)
|
100% |
1374
1.66 IPS |
|
Pose Estimation (I8)
|
100% |
5247
6.35 IPS |
|
Object Detection (F32)
|
100% |
557
41.6 IPS |
|
Object Detection (F16)
|
100% |
558
41.7 IPS |
|
Object Detection (I8)
|
61% |
1094
81.7 IPS |
|
Face Detection (F32)
|
100% |
1359
16.2 IPS |
|
Face Detection (F16)
|
100% |
1329
15.8 IPS |
|
Face Detection (I8)
|
86% |
1842
21.9 IPS |
|
Depth Estimation (F32)
|
100% |
1313
10.2 IPS |
|
Depth Estimation (F16)
|
100% |
1311
10.2 IPS |
|
Depth Estimation (I8)
|
95% |
2046
15.9 IPS |
|
Style Transfer (F32)
|
100% |
2463
3.24 IPS |
|
Style Transfer (F16)
|
100% |
2463
3.24 IPS |
|
Style Transfer (I8)
|
98% |
5222
6.87 IPS |
|
Image Super-Resolution (F32)
|
100% |
880
31.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
909
32.5 IPS |
|
Image Super-Resolution (I8)
|
98% |
1940
69.3 IPS |
|
Text Classification (F32)
|
100% |
648
931.6 IPS |
|
Text Classification (F16)
|
100% |
645
926.9 IPS |
|
Text Classification (I8)
|
92% |
440
632.6 IPS |
|
Machine Translation (F32)
|
100% |
1318
24.3 IPS |
|
Machine Translation (F16)
|
100% |
1325
24.4 IPS |
|
Machine Translation (I8)
|
64% |
392
7.22 IPS |