Upload Date | May 15 2022 09:10 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.4.1 |
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% |
782
83.8 IPS |
|
Image Classification (F16)
|
100% |
721
77.2 IPS |
|
Image Classification (I8)
|
81% |
378
40.5 IPS |
|
Image Segmentation (F32)
|
100% |
1122
6.93 IPS |
|
Image Segmentation (F16)
|
100% |
1070
6.61 IPS |
|
Image Segmentation (I8)
|
89% |
1409
8.71 IPS |
|
Pose Estimation (F32)
|
100% |
396
1.60 IPS |
|
Pose Estimation (F16)
|
100% |
393
1.59 IPS |
|
Pose Estimation (I8)
|
80% |
473
1.91 IPS |
|
Object Detection (F32)
|
100% |
1078
37.8 IPS |
|
Object Detection (F16)
|
100% |
1096
38.5 IPS |
|
Object Detection (I8)
|
52% |
621
21.8 IPS |
|
Face Detection (F32)
|
100% |
1286
14.8 IPS |
|
Face Detection (F16)
|
100% |
1297
14.9 IPS |
|
Face Detection (I8)
|
75% |
826
9.49 IPS |
|
Text Classification (F32)
|
100% |
1147
453.6 IPS |
|
Text Classification (F16)
|
100% |
1040
411.3 IPS |
|
Machine Translation (F32)
|
100% |
1957
301.6 IPS |
|
Machine Translation (F16)
|
100% |
1960
302.1 IPS |