Upload Date | July 18 2024 04:07 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | OnePlus CPH2491 |
Model ID | OnePlus CPH2491 |
Motherboard | k6983v1_64 |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 3 Cores @ 2.85 GHz |
Cluster 3 | 1 Core @ 3.05 GHz |
Memory Information | |
---|---|
Size | 7.23 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
285
53.3 IPS |
|
Image Classification (F16)
|
100% |
317
59.2 IPS |
|
Image Classification (I8)
|
97% |
335
62.8 IPS |
|
Image Segmentation (F32)
|
100% |
372
6.21 IPS |
|
Image Segmentation (F16)
|
100% |
403
6.72 IPS |
|
Image Segmentation (I8)
|
98% |
446
7.45 IPS |
|
Pose Estimation (F32)
|
100% |
627
0.76 IPS |
|
Pose Estimation (F16)
|
100% |
655
0.79 IPS |
|
Pose Estimation (I8)
|
100% |
1915
2.32 IPS |
|
Object Detection (F32)
|
100% |
303
22.6 IPS |
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
Object Detection (I8)
|
61% |
403
30.1 IPS |
|
Face Detection (F32)
|
100% |
737
8.76 IPS |
|
Face Detection (F16)
|
100% |
704
8.37 IPS |
|
Face Detection (I8)
|
86% |
974
11.6 IPS |
|
Depth Estimation (F32)
|
100% |
711
5.51 IPS |
|
Depth Estimation (F16)
|
100% |
725
5.63 IPS |
|
Depth Estimation (I8)
|
95% |
900
6.98 IPS |
|
Style Transfer (F32)
|
100% |
1333
1.75 IPS |
|
Style Transfer (F16)
|
100% |
1366
1.80 IPS |
|
Style Transfer (I8)
|
98% |
2213
2.91 IPS |
|
Image Super-Resolution (F32)
|
100% |
467
16.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
415
14.8 IPS |
|
Image Super-Resolution (I8)
|
98% |
1093
39.1 IPS |
|
Text Classification (F32)
|
100% |
405
582.7 IPS |
|
Text Classification (F16)
|
100% |
387
556.8 IPS |
|
Text Classification (I8)
|
92% |
262
376.7 IPS |
|
Machine Translation (F32)
|
100% |
483
8.89 IPS |
|
Machine Translation (F16)
|
100% |
476
8.76 IPS |
|
Machine Translation (I8)
|
64% |
227
4.18 IPS |