Upload Date | January 25 2023 10:24 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.3 |
Model | iPhone 13 Pro Max |
Model ID | iPhone14,3 |
Motherboard | D64AP |
CPU Information | |
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Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 GHz |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 5.49 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
765
82.0 IPS |
|
Image Classification (F16)
|
100% |
745
79.8 IPS |
|
Image Classification (I8)
|
81% |
444
47.6 IPS |
|
Image Segmentation (F32)
|
100% |
1097
6.77 IPS |
|
Image Segmentation (F16)
|
100% |
1070
6.61 IPS |
|
Image Segmentation (I8)
|
89% |
1460
9.02 IPS |
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
Pose Estimation (F16)
|
100% |
401
1.62 IPS |
|
Pose Estimation (I8)
|
80% |
396
1.60 IPS |
|
Object Detection (F32)
|
100% |
863
30.3 IPS |
|
Object Detection (F16)
|
100% |
884
31.0 IPS |
|
Object Detection (I8)
|
52% |
438
15.4 IPS |
|
Face Detection (F32)
|
100% |
1063
12.2 IPS |
|
Face Detection (F16)
|
100% |
987
11.3 IPS |
|
Face Detection (I8)
|
75% |
852
9.78 IPS |
|
Text Classification (F32)
|
100% |
1019
403.0 IPS |
|
Text Classification (F16)
|
100% |
1013
400.5 IPS |
|
Machine Translation (F32)
|
100% |
2046
315.3 IPS |
|
Machine Translation (F16)
|
100% |
2042
314.7 IPS |